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Chen L, Goh XP, Bendt AK, Tan KML, Leow MKS, Tan KH, Chan JKY, Chan SY, Chong YS, Gluckman PD, Eriksson JG, Wenk MR, Mir SA. Association of acylcarnitines with maternal cardiometabolic risk factors is defined by chain length: the S-PRESTO study. J Clin Endocrinol Metab 2024:dgae255. [PMID: 38625914 DOI: 10.1210/clinem/dgae255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 03/02/2024] [Accepted: 04/10/2024] [Indexed: 04/18/2024]
Abstract
CONTEXT Due to the essential role of carnitine as an intermediary in amino acid, carbohydrate and lipid metabolism, a detailed characterization of circulating and urinary carnitine concentrations will aid in elucidating the molecular basis of impaired maternal metabolic flexibility and facilitating timely intervention for expectant mothers. OBJECTIVE To investigate the association of maternal plasma and urinary free carnitine and acylcarnitines with cardiometabolic risk factors. METHODS LC-MS/MS-based quantification of free carnitine and acylcarnitines (C2-C18) was performed on 765 plasma and 702 urine samples collected at preconception, 26-28 weeks' pregnancy, and three months postpartum in the Singapore PREconception Study of long-Term maternal and child Outcomes (S-PRESTO) cohort study. RESULTS Plasma concentrations of free carnitine and acylcarnitines decreased coupled with increased renal clearance in pregnancy compared to preconception and postpartum. Renal clearance of carnitine increased with an increase in pre-pregnancy body mass index (ppBMI) and gestational weight gain. Plasma short-chain acylcarnitines were positively associated with ppBMI, irrespective of the physiological state, while medium- and long-chain acylcarnitines were negatively associated with ppBMI at preconception and postpartum but showed a positive association in pregnancy. Similarly, plasma short-chain acylcarnitines were positively associated with HOMA-IR whereas medium- and long-chain acylcarnitines were negatively associated with HOMA-IR at preconception and in pregnancy. Mothers who developed gestational diabetes mellitus during pregnancy had ∼10% higher plasma propionylcarnitine concentration and ∼18% higher urine tiglylcarnitine concentration compared to mothers with normal glucose metabolism at preconception. CONCLUSIONS This study provides the metabolic and physiological basis of maternal carnitine homeostasis, which can be used in assessment of maternal cardiometabolic health at preconception to improve pregnancy outcomes.
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Affiliation(s)
- Li Chen
- Singapore Institute for Clinical Sciences, A*STAR, Singapore
- Singapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore
| | - Xue Ping Goh
- Singapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore
| | - Anne K Bendt
- Singapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore
| | - Karen Mei-Ling Tan
- Singapore Institute for Clinical Sciences, A*STAR, Singapore
- Department of Laboratory Medicine, National University Hospital, Singapore
| | - Melvin Khee-Shing Leow
- Singapore Institute for Clinical Sciences, A*STAR, Singapore
- Department of Endocrinology, Tan Tock Seng Hospital, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- Duke-NUS Medical School, Singapore
- Department of Obstetrics and Gynaecology and Human Potential Translational Research programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Kok Hian Tan
- Duke-NUS Medical School, Singapore
- KK Women's and Children's Hospital, Singapore
| | - Jerry K Y Chan
- Duke-NUS Medical School, Singapore
- KK Women's and Children's Hospital, Singapore
| | - Shiao-Yng Chan
- Singapore Institute for Clinical Sciences, A*STAR, Singapore
- Department of Obstetrics and Gynaecology and Human Potential Translational Research programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences, A*STAR, Singapore
- Department of Obstetrics and Gynaecology and Human Potential Translational Research programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, A*STAR, Singapore
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Johan G Eriksson
- Singapore Institute for Clinical Sciences, A*STAR, Singapore
- Department of Obstetrics and Gynaecology and Human Potential Translational Research programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Folkhalsan Research Center, Helsinki, Finland
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
| | - Markus R Wenk
- Singapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore
- Department of Biochemistry and Precision Medicine Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Sartaj Ahmad Mir
- Singapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore
- Department of Biochemistry and Precision Medicine Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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2
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Loh J, Loy SL, Appannah G, Colega MT, Godfrey KM, Yap F, Chong YS, Eriksson JG, Chan JKY, Chan SY, Chong MFF, Lai JS. Relation of preconception eating behaviours to dietary pattern trajectories and gestational weight gain from preconception to late pregnancy. Appetite 2024; 198:107336. [PMID: 38574819 DOI: 10.1016/j.appet.2024.107336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 03/26/2024] [Accepted: 04/02/2024] [Indexed: 04/06/2024]
Abstract
Studies examining preconception eating behaviours with longitudinal dietary patterns from preconception to late pregnancy as well as gestational weight gain (GWG) are limited. We derived dietary pattern trajectories from preconception to late-pregnancy, and related preconception eating behaviours to these trajectories and GWG. Preconception eating behaviours were assessed using the Three-Factor Eating Questionnaire measuring cognitive restraint (CR) - conscious restriction of food intake, emotional eating (EE) - overeating in response to negative emotions, and uncontrolled eating (UE) - overeating with a feeling of lack of control. Dietary intakes were measured at preconception, 20-21 and 34-36 weeks' gestation with food frequency questionnaires. Dietary patterns were determined using factor analysis, and trajectories derived using group-based trajectory modelling. Inadequate and excessive GWG were defined according to Institute of Medicine guidelines based on weights at preconception and the last antenatal visit (median: 38 weeks' gestation). Two dietary patterns were derived: 'Fast Food, Fried Snacks and Desserts (FFD)' and 'Soup, Fish and Vegetables (SFV)'. Adherence trajectories from preconception to late-pregnancy were characterised as consistently high ("stable-high") and low ("stable-low"). Women with higher UE scores had higher odds of being in the "stable-high" trajectory (n = 34) of the FFD pattern [Odds Ratio (OR): 1.25, 95% Confidence Interval (CI): 1.03, 1.51], compared to "stable-low" (n = 260). Percentages of women with inadequate, adequate or excessive GWG were 21.7% (n = 70), 25.8% (n = 83), and 52.5% (n = 169), respectively; women with higher EE scores had a higher likelihood of excessive GWG [Relative Risk Ratio (RRR): 1.35, 95% CI: 1.02, 1.80], but this association was attenuated after adjusting for preconception body mass index. Eating behaviour interventions to improve dietary patterns among pregnant women may need to start as early as preconception, incorporating strategies to manage UE.
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Affiliation(s)
- Jason Loh
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, 30 Medical Drive, 117609, Singapore
| | - See Ling Loy
- Department of Reproductive Medicine, KK Women's and Children's Hospital, 100 Bukit Timah Road, 229899, Singapore; Duke-NUS Medical School, 8 College Road, 169857, Singapore
| | - Geeta Appannah
- Department of Nutrition, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, 43400, UPM Serdang, Selangor Darul Ehsan, Malaysia
| | - Marjorelee T Colega
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, 30 Medical Drive, 117609, Singapore
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Centre & NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS Foundation Trust, Tremona Road, Southampton, SO16 6YD, UK
| | - Fabian Yap
- Duke-NUS Medical School, 8 College Road, 169857, Singapore; Department of Paediatric Endocrinology, KK Women's and Children's Hospital, 100 Bukit Timah Road, 229899, Singapore
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, 30 Medical Drive, 117609, Singapore; Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, NUHS Tower Block, Level 12, 119228, Singapore
| | - Johan G Eriksson
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, 30 Medical Drive, 117609, Singapore; Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, & Folkhälsan Research Center, University of Helsinki, PO Box 20, 00014, University of Helsinki, Helsinki, Finland; Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, 1E Kent Ridge Road, NUHS Tower Block, Level 12, 119228, Singapore
| | - Jerry K Y Chan
- Department of Reproductive Medicine, KK Women's and Children's Hospital, 100 Bukit Timah Road, 229899, Singapore; Duke-NUS Medical School, 8 College Road, 169857, Singapore
| | - Shiao-Yng Chan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, 30 Medical Drive, 117609, Singapore; Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, 1E Kent Ridge Road, NUHS Tower Block, Level 12, 119228, Singapore
| | - Mary F F Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, 30 Medical Drive, 117609, Singapore; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 16 Medical Drive, 117597, Singapore
| | - Jun S Lai
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, 30 Medical Drive, 117609, Singapore.
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3
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Zhang S, Larsen B, Sydnor VJ, Zeng T, An L, Yan X, Kong R, Kong X, Gur RC, Gur RE, Moore TM, Wolf DH, Holmes AJ, Xie Y, Zhou JH, Fortier MV, Tan AP, Gluckman P, Chong YS, Meaney MJ, Deco G, Satterthwaite TD, Yeo BT. In-vivo whole-cortex marker of excitation-inhibition ratio indexes cortical maturation and cognitive ability in youth. bioRxiv 2024:2023.06.22.546023. [PMID: 38586012 PMCID: PMC10996460 DOI: 10.1101/2023.06.22.546023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
A balanced excitation-inhibition ratio (E/I ratio) is critical for healthy brain function. Normative development of cortex-wide E/I ratio remains unknown. Here we non-invasively estimate a putative marker of whole-cortex E/I ratio by fitting a large-scale biophysically-plausible circuit model to resting-state functional MRI (fMRI) data. We first confirm that our model generates realistic brain dynamics in the Human Connectome Project. Next, we show that the estimated E/I ratio marker is sensitive to the GABA-agonist benzodiazepine alprazolam during fMRI. Alprazolam-induced E/I changes are spatially consistent with positron emission tomography measurement of benzodiazepine receptor density. We then investigate the relationship between the E/I ratio marker and neurodevelopment. We find that the E/I ratio marker declines heterogeneously across the cerebral cortex during youth, with the greatest reduction occurring in sensorimotor systems relative to association systems. Importantly, among children with the same chronological age, a lower E/I ratio marker (especially in association cortex) is linked to better cognitive performance. This result is replicated across North American (8.2 to 23.0 years old) and Asian (7.2 to 7.9 years old) cohorts, suggesting that a more mature E/I ratio indexes improved cognition during normative development. Overall, our findings open the door to studying how disrupted E/I trajectories may lead to cognitive dysfunction in psychopathology that emerges during youth.
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Affiliation(s)
- Shaoshi Zhang
- Centre for Sleep and Cognition & Centre for Translational MR Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore
- N.1 Institute for Health, National University of Singapore, Singapore
- Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore
- Department of Medicine, Human Potential Translational Research Programme & Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National Univeristy of Singapore, Signapore
| | - Bart Larsen
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
- Lifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Valerie J. Sydnor
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
- Lifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Tianchu Zeng
- Centre for Sleep and Cognition & Centre for Translational MR Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore
- N.1 Institute for Health, National University of Singapore, Singapore
- Department of Medicine, Human Potential Translational Research Programme & Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National Univeristy of Singapore, Signapore
| | - Lijun An
- Centre for Sleep and Cognition & Centre for Translational MR Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore
- N.1 Institute for Health, National University of Singapore, Singapore
- Department of Medicine, Human Potential Translational Research Programme & Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National Univeristy of Singapore, Signapore
| | - Xiaoxuan Yan
- Centre for Sleep and Cognition & Centre for Translational MR Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore
- N.1 Institute for Health, National University of Singapore, Singapore
- Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore
- Department of Medicine, Human Potential Translational Research Programme & Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National Univeristy of Singapore, Signapore
| | - Ru Kong
- Centre for Sleep and Cognition & Centre for Translational MR Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore
- N.1 Institute for Health, National University of Singapore, Singapore
- Department of Medicine, Human Potential Translational Research Programme & Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National Univeristy of Singapore, Signapore
| | - Xiaolu Kong
- Centre for Sleep and Cognition & Centre for Translational MR Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore
- N.1 Institute for Health, National University of Singapore, Singapore
- Department of Medicine, Human Potential Translational Research Programme & Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National Univeristy of Singapore, Signapore
- ByteDance, Singapore
| | - Ruben C. Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
- Lifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Raquel E. Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
- Lifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Tyler M. Moore
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
- Lifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Daniel H. Wolf
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Avram J Holmes
- Department of Psychiatry, Brain Health Institute, Rutgers University, Piscataway, NJ, United States
- Wu Tsai Institute, Yale University, New Haven, CT, United States
| | - Yapei Xie
- Centre for Sleep and Cognition & Centre for Translational MR Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore
- N.1 Institute for Health, National University of Singapore, Singapore
- Department of Medicine, Human Potential Translational Research Programme & Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National Univeristy of Singapore, Signapore
| | - Juan Helen Zhou
- Centre for Sleep and Cognition & Centre for Translational MR Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore
- Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore
- Department of Medicine, Human Potential Translational Research Programme & Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National Univeristy of Singapore, Signapore
| | - Marielle V Fortier
- Department of Diagnostic and Interventional Imaging, KK Women’s and Children’s Hospital, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore
| | - Ai Peng Tan
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore
- Department of Diagnostic Radiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Peter Gluckman
- UK Centre for Human Evolution, Adaptation and Disease, Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Michael J Meaney
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | - Gustavo Deco
- Center for Brain and Cognition, Department of Technology and Information, Universitat Pompeu Fabra, Barcelona, Spain
- Institució Catalana de la Recerca i Estudis Avançats, Universitat Barcelona, Barcelona, Spain
| | - Theodore D. Satterthwaite
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
- Lifespan Brain Institute (LiBI) of Penn Medicine and CHOP, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - B.T. Thomas Yeo
- Centre for Sleep and Cognition & Centre for Translational MR Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore
- N.1 Institute for Health, National University of Singapore, Singapore
- Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore
- Department of Medicine, Human Potential Translational Research Programme & Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National Univeristy of Singapore, Signapore
- Martinos Center for Biomedical Imaging, Massachusetts General Hopstial, Charlestown, MA, USA
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Padmapriya N, Fogel A, Tan SYX, Goh CMJL, Tan SL, Chia A, Chu AHY, Chong YS, Tan KH, Chan SY, Yap F, Godfrey KM, Lee YS, Eriksson JG, Tan CS, Bernard JY, Müller-Riemenschneider F. The cross-sectional and prospective associations of parental practices and environmental factors with 24-hour movement behaviours among school-aged Asian children. Int J Behav Nutr Phys Act 2024; 21:27. [PMID: 38438945 PMCID: PMC10913559 DOI: 10.1186/s12966-024-01574-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 02/12/2024] [Indexed: 03/06/2024] Open
Abstract
BACKGROUND Parental practices and neighbourhood environmental factors may influence children's movement behaviours. We aimed to investigate the cross-sectional and prospective associations of parental practices and neighbourhood environmental factors with accelerometer-measured 24-hour movement behaviours (24 h-MBs) among school-aged children in Singapore. METHODS The Growing Up in Singapore Towards healthy Outcomes (GUSTO) study collected information on dimensions of parental practices and neighbourhood environment at age 5.5 years. Confirmatory factor analyses were performed to generate latent variables and used to compute overall parental practices [involvement in PA + support for PA + control of screen viewing context] and environmental scores [facilities for active play + active mobility facilitators + barriers*-1]. Children wore an accelerometer on their non-dominant wrist for seven consecutive days at ages 5.5 and 8 years. The R-package GGIR 2.6 was used to derive moderate-to-vigorous-intensity physical activity (MVPA), light-intensity physical activity (LPA), inactivity, and total-sleep (napping+night sleep) minutes per day. Associations were determined using compositional data analysis with multivariate linear regression models, taking into account potential confounders. RESULTS Among 425 children (48% girls, 59% Chinese), higher parental involvement in PA, parental support for PA and overall parental practices were associated with 24 h-MBs at ages 5.5 and 8 years, specifically with greater time spent in MVPA and less time being inactive relative to the remaining movement behaviours. The corresponding mean changes in the overall 24 h-MB for increasing parental practices from lowest to highest scores (- 2 to + 2 z-scores) indicated potential increases of up to 15-minutes in MVPA, 20-minutes in LPA, 5-minutes in sleep duration, and a reduction of 40-minutes in inactivity at age 5.5 years. At age 8 years, this could translate to approximately 15-minutes more of MVPA, 20-minutes more of LPA, a 20-minute reduction in sleep duration, and a 20-minute reduction in inactivity. Parental control of screen viewing contexts and neighbourhood environmental factors were not associated with 24 h-MBs. CONCLUSIONS Parental practices but not environmental factors were associated with higher MVPA and lower inactivity among Singaporean children, even at a later age. Further research may provide insights that support development of targeted public health strategies to promote healthier movement behaviours among children. STUDY REGISTRATION This study was registered on 4th August 2010 and is available online at ClinicalTrials.gov: NCT01174875.
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Affiliation(s)
- Natarajan Padmapriya
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
| | - Anna Fogel
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Sarah Yi Xuan Tan
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | | | - Shuen Lin Tan
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Airu Chia
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Anne Hin Yee Chu
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Yap Seng Chong
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Kok Hian Tan
- KK Women's and Children's Hospital, Singapore, Singapore
- Duke-National University of Singapore, Singapore, Singapore
| | - Shiao-Yng Chan
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Fabian Yap
- KK Women's and Children's Hospital, Singapore, Singapore
- Duke-National University of Singapore, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Keith M Godfrey
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore, Singapore
| | - Johan G Eriksson
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of General Practice and Primary Health Care, University of Helsinki and Folkhälsan Research Center, Helsinki, Finland
| | - Chuen Seng Tan
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Jonathan Y Bernard
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, F-75004, France
| | - Falk Müller-Riemenschneider
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Digital Health Center, Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Berlin, Germany
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5
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Agarwal PK, Xie H, Sathyapalan Rema AS, Tay EGH, Meaney MJ, Godfrey KM, Cai S, Chen HY, Chong YS, Rajadurai VS, Daniel LM. Exploring the validity of the ASQ-SE for socio-emotional competency screening of a low-risk Asian cohort at 2 years of age. Early Hum Dev 2024; 190:105951. [PMID: 38301335 DOI: 10.1016/j.earlhumdev.2024.105951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 01/26/2024] [Accepted: 01/26/2024] [Indexed: 02/03/2024]
Abstract
AIMS To assess the Ages & Stages Questionnaire: Social-Emotional (ASQ-SE)'s concurrent validity in a low-risk Singapore cohort and study its association with maternal mental health status. METHODS Concurrent validity of the parent-filled ASQ-SE with Child Behavior Checklist (CBCL1.5-5) was evaluated in 341 children at age 24 months. Data on maternal anxiety and depression were collected using the State-Trait Anxiety Inventory (STAI) and Beck Depression Inventory-Second Version (BDI-II). ASQ-SE cut-off scores based on receiver operating characteristic curve were compared to CBCL scores to derive a local ASQ-SE "at risk" cut-off score. Correlations of ASQ-SE with CBCL scores and with maternal STAI and BDI scores were evaluated using Pearson coefficients. RESULTS Using a cut-off score of 51 at 24 months, ASQ-SE had acceptable concurrent validity, with an AUC of 0.819(0.765-0.872), 70 % sensitivity and 79 % specificity. Mothers of children with "at-risk" ASQ-SE scores had significantly higher STAI and BDI-II scores. ASQ-SE had moderate- high correlations (r = 0.32-0.53) (p < .01) with CBCL scores at 24 and 48 months and with maternal mental health status(r = 0.32). INTERPRETATION ASQ-SE can be a useful tool for screening child's socio-emotional competence for primary health care use in Singapore Dyadic mental health screening would be helpful in identifying families at risk.
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Affiliation(s)
- Pratibha Keshav Agarwal
- Dept of Child Development, KK Women's and Children's Hospital Singapore, Singapore; Office of Education, Duke-NUS Medical School, Singapore.
| | - Huichao Xie
- Psychology and Child & Human Development, Nanyang Technological University National Institute of Education, Singapore
| | | | - Ellen Ghim Hoon Tay
- Dept of Child Development, KK Women's and Children's Hospital Singapore, Singapore; Office of Education, Duke-NUS Medical School, Singapore
| | - Michael J Meaney
- Department of Psychiatry and Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Keith M Godfrey
- MRC Life course Epidemiology Centre and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, United Kingdom of Great Britain and Northern Ireland
| | - Shirong Cai
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore; Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Helen Yu Chen
- Dept of Psychological Medicine (Mental Wellness Services), KK Women's and Children's Hospital, Singapore; Office of Education, Duke-NUS Medical School, Singapore
| | - Yap Seng Chong
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore
| | - Victor Samuel Rajadurai
- Dept of Neonatology, KK Women's and Children's Hospital Singapore, Singapore; Office of Education, Duke-NUS Medical School, Singapore
| | - Lourdes Mary Daniel
- Dept of Child Development, KK Women's and Children's Hospital Singapore, Singapore; Office of Education, Duke-NUS Medical School, Singapore
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Chooi YC, Zhang QA, Magkos F, Ng M, Michael N, Wu X, Volchanskaya VSB, Lai X, Wanjaya ER, Elejalde U, Goh CC, Yap CPL, Wong LH, Lim KJ, Velan SS, Yaligar J, Muthiah MD, Chong YS, Loo EXL, Eriksson JG. Effect of an Asian-adapted Mediterranean diet and pentadecanoic acid on fatty liver disease: the TANGO randomized controlled trial. Am J Clin Nutr 2024; 119:788-799. [PMID: 38035997 DOI: 10.1016/j.ajcnut.2023.11.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 11/15/2023] [Accepted: 11/25/2023] [Indexed: 12/02/2023] Open
Abstract
BACKGROUND Weight loss is the most effective treatment for nonalcoholic fatty liver disease (NAFLD). There is evidence that the Mediterranean diets rich in unsaturated fatty acids and fiber have beneficial effects on weight homeostasis and metabolic risk factors in individuals with NAFLD. Studies have also shown that higher circulating concentrations of pentadecanoic acid (C15:0) are associated with a lower risk for NAFLD. OBJECTIVES To examine the effects of a Mediterranean-like, culturally contextualized Asian diet rich in fiber and unsaturated fatty acids, with or without C15:0 supplementation, in Chinese females with NAFLD. METHODS In a double-blinded, parallel-design, randomized controlled trial, 88 Chinese females with NAFLD were randomly assigned to 1 of the 3 groups for 12 wk: diet with C15:0 supplementation (n = 31), diet without C15:0 supplementation (n = 28), or control (habitual diet and no C15:0 supplementation, n = 29). At baseline and after the intervention, body fat percentage, intrahepatic lipid content, muscle and abdominal fat, liver enzymes, cardiometabolic risk factors, and gut microbiome were assessed. RESULTS In the intention-to-treat analysis, weight reductions of 4.0 ± 0.5 kg (5.3%), 3.4 ± 0.5 kg (4.5%), and 1.5 ± 0.5 kg (2.1%) were achieved in the diet-with-C15:0, diet without-C15:0, and the control groups, respectively. The proton density fat fraction (PDFF) of the liver decreased by 33%, 30%, and 10%, respectively. Both diet groups achieved significantly greater reductions in body weight, liver PDFF, total cholesterol, gamma-glutamyl transferase, and triglyceride concentrations compared with the control group. C15:0 supplementation reduced LDL-cholesterol further, and increased the abundance of Bifidobacterium adolescentis. Fat mass, visceral adipose tissue, subcutaneous abdominal adipose tissue (deep and superficial), insulin, glycated hemoglobin, and blood pressure decreased significantly in all groups, in parallel with weight loss. CONCLUSION Mild weight loss induced by a Mediterranean-like diet adapted for Asians has multiple beneficial health effects in females with NAFLD. C15:0 supplementation lowers LDL-cholesterol and may cause beneficial shifts in the gut microbiome. TRIAL REGISTRATION NUMBER This trial was registered at the clinicaltrials.gov as NCT05259475.
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Affiliation(s)
- Yu Chung Chooi
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore.
| | - Qinze Arthur Zhang
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore
| | - Faidon Magkos
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg, Denmark
| | - Maisie Ng
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore; Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore
| | - Navin Michael
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore
| | - Xiaorong Wu
- WIL@NUS Corporate Laboratory, National University of Singapore (NUS), Center for Translational Medicine, Singapore
| | | | - Xianning Lai
- WIL@NUS Corporate Laboratory, National University of Singapore (NUS), Center for Translational Medicine, Singapore
| | - Elvy Riani Wanjaya
- WIL@NUS Corporate Laboratory, National University of Singapore (NUS), Center for Translational Medicine, Singapore
| | - Untzizu Elejalde
- WIL@NUS Corporate Laboratory, National University of Singapore (NUS), Center for Translational Medicine, Singapore
| | - Chew Chan Goh
- WIL@NUS Corporate Laboratory, National University of Singapore (NUS), Center for Translational Medicine, Singapore
| | - Clara Poh Lian Yap
- WIL@NUS Corporate Laboratory, National University of Singapore (NUS), Center for Translational Medicine, Singapore
| | - Long Hui Wong
- WIL@NUS Corporate Laboratory, National University of Singapore (NUS), Center for Translational Medicine, Singapore.
| | - Kevin Junliang Lim
- WIL@NUS Corporate Laboratory, National University of Singapore (NUS), Center for Translational Medicine, Singapore
| | - S Sendhil Velan
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore
| | - Jadegoud Yaligar
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore
| | - Mark Dhinesh Muthiah
- Department of Gastroenterology and Hepatology, National University Health System, Singapore; National University Centre for Organ Transplantation, Singapore
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore; Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore
| | - Evelyn Xiu Ling Loo
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore; Department of Paediatrics and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore
| | - Johan G Eriksson
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore; Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore; Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Folkhälsan Research Center, Helsinki, Finland.
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7
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Shorey S, Tam TC, Thilagamangai, Mathews J, Lim SH, Shi L, Chua JS, Chan YH, Law E, Chee C, Chong YS. 'Been there, experienced that': A qualitative study on the experiences and perceptions of online peer volunteers in supporting Singaporean mothers at risk of depression. J Adv Nurs 2024; 80:1072-1083. [PMID: 37706224 DOI: 10.1111/jan.15867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 07/10/2023] [Accepted: 08/30/2023] [Indexed: 09/15/2023]
Abstract
BACKGROUND Online peer support is a useful source of support for parents during the perinatal period, associated with improved psychological outcomes. Past research has found that peer support providers themselves gain from providing peer support as well, making it mutually beneficial. As current maternity care services are insufficient to meet the support needs of parents, the Supportive Parenting App (SPA) intervention was developed to offer them informational, appraisal and emotional support during the perinatal period. It consists of mobile health application-based educational support and online peer support provided by trained peer volunteers, to prevent the development of postnatal depression. OBJECTIVE To explore the experiences of peer volunteers with providing online peer support to parents during the perinatal period, as well as to identify areas of improvement for the SPA intervention. METHODS A qualitative descriptive design was adopted. This study took place from October 2020 to August 2021 in two tertiary public healthcare institutions in Singapore. A total of 18 peer volunteers were invited for individual semi-structured interviews. The interviews were audio recorded and transcribed verbatim, and thematic analysis was used to analyse the data. RESULTS Four themes were emerged as follows: (1) 'Being there': Reminiscing about and healing of own postnatal depression experience; (2) Building rapport with parents; (3) Parents in mind: Mutual sharing of knowledge and how to support new parents better; (4) Ensuring good quality peer support. CONCLUSIONS The peer volunteers felt that their experience was fulfilling and healing. Frequent contact, sharing of SPA resources and self-disclosure were found to help engage the new parents and build rapport between peer volunteers and parents. Challenges described by the peer volunteers have identified possible areas in which the SPA intervention can be improved. IMPLICATIONS FOR CARE Communication between peer program facilitators, managers and peer volunteers can be enhanced to ensure that peer volunteers are more sensitive and precise when providing support or information. This can improve rapport building between parents and peer volunteers, which will in turn maximize the benefits that parents can reap through online peer-to-peer support. IMPACT This study explored the perceptions of peer volunteers who provided online peer support to parents across the perinatal period. Peer volunteers felt that the SPA intervention was meaningful and that providing peer support was a healing experience. They were able to learn about the experiences of other mothers with postpartum depression while sharing their own past experiences. Thus, both parents and peer volunteers can benefit from engaging in online peer support programs. Technology-based interventions like the Supportive Parenting App (SPA) can be a suitable complement to maternity care services by providing parents access to medically accurate information and social support. Additionally, more experienced mothers can engage in fulfilling experiences through volunteering for new mothers who may benefit from informational, appraisal and emotional support. REPORTING METHOD This study follows the reporting guidelines as stated by the Consolidated criteria for reporting qualitative research (COREQ) checklist. PATIENT OR PUBLIC CONTRIBUTION Parents and peer volunteers contributed ideas that aided with the design of the mobile app. Many topics added to the educational materials were suggested by these parents as well. WHAT DOES THIS PAPER CONTRIBUTE TO THE WIDER GLOBAL CLINICAL COMMUNITY?: This study showed that sufficient training can be provided to lay peer volunteers to help them support other parents, buffering the pressure exerted on the healthcare industry due to the rising demand for healthcare services. The provision of such support is also beneficial for the peer volunteers themselves, as they find it meaningful and educational. Program developers of parenting and peer volunteering interventions can draw on the findings of this study to improve the effectiveness of these programs.
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Affiliation(s)
- Shefaly Shorey
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Level 2, Clinical Research Centre, Singapore, Singapore
| | - Thiam Chye Tam
- Mount Elizabeth Novena Specialist Centre, Singapore, Singapore
| | - Thilagamangai
- Division of Nursing, KK Women's and Children's Hospital, Singapore, Singapore
| | - Jancy Mathews
- National University Polyclinics, Singapore, Singapore
| | | | - Luming Shi
- Singapore Clinical Research Institute, Singapore, Singapore
| | - Jing Shi Chua
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Level 2, Clinical Research Centre, Singapore, Singapore
| | - Yiong Huak Chan
- Yong Loo Lin School of Medicine, National University of Singapore, Level 2, Clinical Research Centre, Singapore, Singapore
| | - Evelyn Law
- National University Hospital, Singapore, Singapore
| | | | - Yap Seng Chong
- Yong Loo Lin School of Medicine, National University of Singapore, NUHS Tower Block, Level 11, Singapore, Singapore
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Dong Y, Lau HX, Suaini NHA, Kee MZL, Ooi DSQ, Shek LPC, Lee BW, Godfrey KM, Tham EH, Ong MEH, Liu N, Wong L, Tan KH, Chan JKY, Yap FKP, Chong YS, Eriksson JG, Feng M, Loo EXL. A machine-learning exploration of the exposome from preconception in early childhood atopic eczema, rhinitis and wheeze development. Environ Res 2024; 250:118523. [PMID: 38382664 DOI: 10.1016/j.envres.2024.118523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 01/19/2024] [Accepted: 02/18/2024] [Indexed: 02/23/2024]
Abstract
BACKGROUND Most previous research on the environmental epidemiology of childhood atopic eczema, rhinitis and wheeze is limited in the scope of risk factors studied. Our study adopted a machine learning approach to explore the role of the exposome starting already in the preconception phase. METHODS We performed a combined analysis of two multi-ethnic Asian birth cohorts, the Growing Up in Singapore Towards healthy Outcomes (GUSTO) and the Singapore PREconception Study of long Term maternal and child Outcomes (S-PRESTO) cohorts. Interviewer-administered questionnaires were used to collect information on demography, lifestyle and childhood atopic eczema, rhinitis and wheeze development. Data training was performed using XGBoost, genetic algorithm and logistic regression models, and the top variables with the highest importance were identified. Additive explanation values were identified and inputted into a final multiple logistic regression model. Generalised structural equation modelling with maternal and child blood micronutrients, metabolites and cytokines was performed to explain possible mechanisms. RESULTS The final study population included 1151 mother-child pairs. Our findings suggest that these childhood diseases are likely programmed in utero by the preconception and pregnancy exposomes through inflammatory pathways. We identified preconception alcohol consumption and maternal depressive symptoms during pregnancy as key modifiable maternal environmental exposures that increased eczema and rhinitis risk. Our mechanistic model suggested that higher maternal blood neopterin and child blood dimethylglycine protected against early childhood wheeze. After birth, early infection was a key driver of atopic eczema and rhinitis development. CONCLUSION Preconception and antenatal exposomes can programme atopic eczema, rhinitis and wheeze development in utero. Reducing maternal alcohol consumption during preconception and supporting maternal mental health during pregnancy may prevent atopic eczema and rhinitis by promoting an optimal antenatal environment. Our findings suggest a need to include preconception environmental exposures in future research to counter the earliest precursors of disease development in children.
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Affiliation(s)
- Yizhi Dong
- Saw Swee Hock School of Public Health, National University Health System, National University of Singapore, Singapore.
| | - Hui Xing Lau
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Singapore, 117609, Singapore.
| | - Noor Hidayatul Aini Suaini
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Singapore, 117609, Singapore.
| | - Michelle Zhi Ling Kee
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Singapore, 117609, Singapore.
| | - Delicia Shu Qin Ooi
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, Singapore.
| | - Lynette Pei-Chi Shek
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
| | - Bee Wah Lee
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
| | - Keith M Godfrey
- School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, United Kingdom; NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust and University of Southampton, Southampton, United Kingdom; MRC Lifecourse Epidemiology Centre, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.
| | - Elizabeth Huiwen Tham
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Singapore, 117609, Singapore; Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, Singapore; Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
| | - Marcus Eng Hock Ong
- Department of Emergency Medicine, Singapore General Hospital, Singapore, Singapore; Health Services and Systems Research, Duke-NUS Graduate Medical School, Singapore, Singapore.
| | - Nan Liu
- Duke-NUS Medical School, National University of Singapore, Singapore; Health Services Research Centre, Singapore Health Services, Singapore, Singapore; Institute of Data Science, National University of Singapore, Singapore.
| | - Limsoon Wong
- School of Computing, National University of Singapore, 13 Computing Drive, Singapore 117417, Singapore.
| | - Kok Hian Tan
- Department of Maternal Fetal Medicine, KK Women's and Children's Hospital (KKH), Singapore.
| | - Jerry Kok Yen Chan
- Duke-NUS Medical School, National University of Singapore, Singapore; Department of Reproductive Medicine, KK Women's and Children's Hospital (KKH), Singapore.
| | - Fabian Kok Peng Yap
- Duke-NUS Medical School, National University of Singapore, Singapore; Department of Paediatrics, KK Women's and Children's Hospital (KKH), Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Singapore, 117609, Singapore; Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore.
| | - Johan Gunnar Eriksson
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Singapore, 117609, Singapore; Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore; Folkhälsan Research Center, Helsinki, Finland; Department of General Practice and Primary Health Care, University of Helsinki, Finland.
| | - Mengling Feng
- Saw Swee Hock School of Public Health, National University Health System, National University of Singapore, Singapore.
| | - Evelyn Xiu Ling Loo
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, Singapore, 117609, Singapore; Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Dean's Office, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
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Huang P, Chan SY, Ngoh ZM, Ong ZY, Low XZ, Law EC, Gluckman PD, Kee MZL, Fortier MV, Chong YS, Zhou JH, Meaney MJ, Tan AP. Screen time, brain network development and socio-emotional competence in childhood: moderation of associations by parent-child reading. Psychol Med 2024:1-12. [PMID: 38314509 DOI: 10.1017/s0033291724000084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2024]
Abstract
BACKGROUND Screen time in infancy is linked to changes in social-emotional development but the pathway underlying this association remains unknown. We aim to provide mechanistic insights into this association using brain network topology and to examine the potential role of parent-child reading in mitigating the effects of screen time. METHODS We examined the association of screen time on brain network topology using linear regression analysis and tested if the network topology mediated the association between screen time and later socio-emotional competence. Lastly, we tested if parent-child reading time was a moderator of the link between screen time and brain network topology. RESULTS Infant screen time was significantly associated with the emotion processing-cognitive control network integration (p = 0.005). This network integration also significantly mediated the association between screen time and both measures of socio-emotional competence (BRIEF-2 Emotion Regulation Index, p = 0.04; SEARS total score, p = 0.04). Parent-child reading time significantly moderated the association between screen time and emotion processing-cognitive control network integration (β = -0.640, p = 0.005). CONCLUSION Our study identified emotion processing-cognitive control network integration as a plausible biological pathway linking screen time in infancy and later socio-emotional competence. We also provided novel evidence for the role of parent-child reading in moderating the association between screen time and topological brain restructuring in early childhood.
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Affiliation(s)
- Pei Huang
- Singapore Institute for Clinical Sciences, A*STAR Research Entities, Singapore
| | - Shi Yu Chan
- Singapore Institute for Clinical Sciences, A*STAR Research Entities, Singapore
| | - Zhen Ming Ngoh
- Singapore Institute for Clinical Sciences, A*STAR Research Entities, Singapore
| | - Zi Yan Ong
- Singapore Institute for Clinical Sciences, A*STAR Research Entities, Singapore
| | - Xi Zhen Low
- Department of Diagnostic Imaging, National University Health System, Singapore
| | - Evelyn C Law
- Singapore Institute for Clinical Sciences, A*STAR Research Entities, Singapore
- Department of Pediatrics, Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, A*STAR Research Entities, Singapore
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Michelle Z L Kee
- Singapore Institute for Clinical Sciences, A*STAR Research Entities, Singapore
| | - Marielle V Fortier
- Department of Diagnostic & Interventional Imaging, KK Women's and Children's Hospital, Singapore
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences, A*STAR Research Entities, Singapore
- Department of Obstetrics & Gynecology, National University Health System, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Juan H Zhou
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore
- Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore
| | - Michael J Meaney
- Singapore Institute for Clinical Sciences, A*STAR Research Entities, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Psychiatry, Faculty of Medicine, Douglas Mental Health University Institute, McGill University, Montreal, Canada
- Brain - Body Initiative, Agency for Science and Technology (A*STAR), Singapore
| | - Ai Peng Tan
- Singapore Institute for Clinical Sciences, A*STAR Research Entities, Singapore
- Department of Diagnostic Imaging, National University Health System, Singapore
- Department of Obstetrics & Gynecology, National University Health System, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Brain - Body Initiative, Agency for Science and Technology (A*STAR), Singapore
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10
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Li LJ, Du R, Chan JKY, Tan KH, Wong TY, Eriksson JG, Su LL, Chong YS, Huang Z, Zhang C. Preconception maternal retinal arteriolar narrowing and fetal growth throughout pregnancy: A prospective cohort study. BJOG 2024; 131:278-287. [PMID: 37503769 DOI: 10.1111/1471-0528.17621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 06/25/2023] [Accepted: 07/11/2023] [Indexed: 07/29/2023]
Abstract
OBJECTIVE To investigate the association between preconception maternal retinal arteriolar calibre and fetal growth. DESIGN, SETTING AND POPULATION A hospital-based, prospective preconception cohort including 369 women with a singleton live birth. METHODS We collected detailed information on sociodemographic status, pregnancy history and lifestyle, and performed retinal imaging at the preconception visit. MAIN OUTCOME MEASURES We retrieved medical records documenting fetal growth biometrics (e.g., abdominal circumference [AC], head circumference [HC], femur length [FL]) at 11-13, 18-21, 24-28, and 32-34 weeks throughout pregnancy. We then computed the z scores for all fetal growth biometrics from 14 weeks of gestation where data were available, referencing the INTERGROWTH-21st fetal growth chart. We used a linear mixed model to estimate the association between maternal preconception retinal arteriolar calibre and fetal growth biometrics z scores throughout pregnancy, with random intercept accounting for repeated measures within individuals. We then performed a multivariable linear regression of maternal preconception retinal arteriolar calibre and z score changes for all fetal growth biometrics between 24-28 weeks and 32-34 weeks of gestation, after full adjustment. RESULTS Maternal preconception generalised retinal arteriolar narrowing was consistently associated with a reduction in fetal AC z scores (-0.34; 95% CI -0.66 to -0.03) throughout pregnancy. In addition, women with preconception generalised retinal arteriolar narrowing tended to have significantly reduced z score changes in AC (-0.41; 95% CI -0.90 to -0.001) and fetal FL (-0.55; 95% CI -1.00 to -0.10) between 24-28 weeks and 32-34 weeks of gestation, respectively. CONCLUSIONS Our findings suggest that women with narrower preconception retinal arterioles had smaller fetuses, evidenced by reductions in AC and FL z score throughout pregnancy.
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Affiliation(s)
- Ling-Jun Li
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Global Centre for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - Ruochen Du
- Biostatics Unit, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Jerry Kok Yen Chan
- Duke-NUS Medical School, Singapore, Singapore
- Department of Reproductive Medicine, KK Women's and Children's Hospital, Singapore, Singapore
| | - Kok Hian Tan
- Duke-NUS Medical School, Singapore, Singapore
- Department of Reproductive Medicine, KK Women's and Children's Hospital, Singapore, Singapore
| | - Tien Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - Johan G Eriksson
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Research Centre, Helsinki, Finland
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Lin Lin Su
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yap Seng Chong
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Global Centre for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Zhongwei Huang
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Institute of Molecular and Cell Biology, Agency of Science, Technology & Research, Singapore, Singapore, Singapore
| | - Cuilin Zhang
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Global Centre for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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Chua JYX, Choolani M, Lalor JG, Yi H, Chong YS, Shorey S. Perceptions of healthcare professionals regarding labour induction and augmentation: A qualitative systematic review. Women Birth 2024; 37:79-87. [PMID: 37718194 DOI: 10.1016/j.wombi.2023.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 09/09/2023] [Accepted: 09/12/2023] [Indexed: 09/19/2023]
Abstract
BACKGROUND Labour induction and augmentation procedures are commonly used in maternity units with or without medical indications. Research shows that healthcare professionals play a significant role in women's childbirth decisions. AIM To consolidate healthcare professionals' perceptions about labour induction and augmentation. METHODS Seven electronic databases were searched from their inception dates till January 2023: PubMed, Embase, CINAHL, PsycINFO, Web of Science, Scopus, ProQuest Dissertations, and Theses Global. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis and Sandelowski and Barroso's guidelines guided this review. Included studies' quality was appraised by the Critical Appraisal Skills Program tool. Data were thematically synthesised. Review findings were assessed using the Grading of Recommendations Assessment, Development, and Evaluation-Confidence in the Evidence from Reviews of Qualitative research approach. FINDINGS Three main themes were identified from the 17 included studies: 1) Making sense of the phenomenon, 2) Two sides of the coin, and 3) The enlightened path ahead. DISCUSSION Healthcare professionals' labour induction and augmentation decisions were affected by personal (knowledge and moral philosophies), and external factors (women, community members, colleagues, and healthcare institutions). Some clinicians were unfamiliar with the proper labour induction/augmentation procedures, while others were worried about their decisions and outcomes. CONCLUSION Suggestions for improvement include conducting labour induction/augmentation training for clinicians, having sufficient resources in facilities, and developing appropriate labour induction/augmentation clinical guidelines. Women and their partners, community members, and traditional healers could benefit from receiving labour induction/augmentation education. To improve health outcomes, healthcare professionals could deliver woman-centred care and collaborate.
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Affiliation(s)
- Joelle Yan Xin Chua
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Mahesh Choolani
- Department of Obstetrics and Gynaecology, National University Hospital, Singapore
| | | | - Huso Yi
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Yap Seng Chong
- Department of Obstetrics and Gynaecology, National University Hospital, Singapore
| | - Shefaly Shorey
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
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12
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Chia A, Toh JY, Natarajan P, Cai S, Ong YY, Descarpentrie A, Lioret S, Bernard JY, Müller-Riemenschneider F, Godfrey KM, Tan KH, Chong YS, Eriksson JG, Chong MFF. Trajectories of lifestyle patterns from 2 to 8 years of age and cardiometabolic risk in children: the GUSTO study. Int J Behav Nutr Phys Act 2024; 21:9. [PMID: 38279175 PMCID: PMC10811908 DOI: 10.1186/s12966-024-01564-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 01/19/2024] [Indexed: 01/28/2024] Open
Abstract
BACKGROUND Tracking combinations of lifestyle behaviours during childhood ("lifestyle pattern trajectories") can identify subgroups of children that might benefit from lifestyle interventions aiming to improve health outcomes later in life. However, studies on the critical transition period from early to middle childhood are limited. We aimed to describe lifestyle patterns trajectories in children from 2 to 8 years of age and evaluated their associations with cardiometabolic risk markers at age 8 years in a multi-ethnic Asian cohort. METHODS Twelve lifestyle behaviours related to child's diet, physical activity, screen use, and sleep were ascertained using questionnaires at ages 2, 5, and 8 years. Age-specific lifestyle patterns were derived using principal component analysis and trajectories were determined using group-based multi-trajectory modelling. Child cardiometabolic risk markers were assessed at age 8 years, and associations with trajectories examined using multiple regression, adjusted for confounders. RESULTS Among 546 children, two lifestyle patterns "healthy" and "unhealthy" were observed at ages 2, 5, and 8 years separately. Three trajectory groups from 2 to 8 years were identified: consistently healthy (11%), consistently unhealthy (18%), and mixed pattern (71%). Children in the consistently unhealthy group (vs. mixed pattern) had increased odds of pre-hypertension (OR = 2.96 [95% CI 1.18-7.41]) and higher levels of diastolic blood pressure (β = 1.91 [0.27-3.55] mmHg), homeostasis model assessment of insulin resistance (β = 0.43 [0.13-0.74]), triglycerides (β = 0.11 [0.00-0.22] mmol/L), and metabolic syndrome score (β = 0.85 [0.20-1.49]), but not with BMI z-score or any anthropometric measurements. The consistently healthy group showed no differences in cardiometabolic outcomes compared to the mixed pattern group. CONCLUSION Three distinct lifestyle pattern trajectories were identified from early to middle childhood. Children in the consistently unhealthy lifestyle group did not have a raised BMI but was associated with several elevated cardiometabolic risk markers. These findings suggest the potential benefits of initiating holistic lifestyle interventions to improve children's health and well-being from an early age. TRIAL REGISTRATION Trial registration number: NCT01174875. Name of registry: ClinicalTrials.gov. URL of registry: https://classic. CLINICALTRIALS gov/ct2/show/NCT01174875 . Date of registration: August 4, 2010. Date of enrolment of the first participant to the trial: June 2009.
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Affiliation(s)
- Airu Chia
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Tahir Foundation Building, 12 Science Drive 2, #12 - 01, Singapore, 117549, Singapore.
| | - Jia Ying Toh
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Padmapriya Natarajan
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Tahir Foundation Building, 12 Science Drive 2, #12 - 01, Singapore, 117549, Singapore
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Shirong Cai
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yi Ying Ong
- Department of Social and Behavioural Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Alexandra Descarpentrie
- Centre for Research in Epidemiology and Statistics (CRESS), Université Paris Cité and Université Sorbonne Paris Nord, INRAE, Paris, F-75004, France
| | - Sandrine Lioret
- Centre for Research in Epidemiology and Statistics (CRESS), Université Paris Cité and Université Sorbonne Paris Nord, INRAE, Paris, F-75004, France
| | - Jonathan Y Bernard
- Centre for Research in Epidemiology and Statistics (CRESS), Université Paris Cité and Université Sorbonne Paris Nord, INRAE, Paris, F-75004, France
| | - Falk Müller-Riemenschneider
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Tahir Foundation Building, 12 Science Drive 2, #12 - 01, Singapore, 117549, Singapore
- Digital Health Center, Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Centre and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Kok Hian Tan
- Duke-NUS Medical School, Singapore, Singapore
- Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore, Singapore
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Johan G Eriksson
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Research Centre, Helsinki, Finland
| | - Mary F-F Chong
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Tahir Foundation Building, 12 Science Drive 2, #12 - 01, Singapore, 117549, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
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13
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Wong G, Narasimhan K, Cheong WF, Ng S, Aris IM, Loy SL, Bendt AK, Tan KH, Yap FKP, Shek LP, Chong YS, Gluckman PD, Godfrey KM, Lee YS, Wenk MR, Karnani N, Chan SY. Umbilical Cord Plasma Lysophospholipids and Triacylglycerols Associated with Birthweight Percentiles. Nutrients 2024; 16:274. [PMID: 38257167 PMCID: PMC10820643 DOI: 10.3390/nu16020274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 01/05/2024] [Accepted: 01/11/2024] [Indexed: 01/24/2024] Open
Abstract
Dysregulated transplacental lipid transfer and fetal-placental lipid metabolism affect birthweight, as does maternal hyperglycemia. As the mechanisms are unclear, we aimed to identify the lipids in umbilical cord plasma that were most associated with birthweight. Seventy-five Chinese women with singleton pregnancies recruited into the GUSTO mother-offspring cohort were selected from across the glycemic range based on a mid-gestation 75 g oral glucose tolerance test, excluding pre-existing diabetes. Cord plasma samples collected at term delivery were analyzed using targeted liquid-chromatography tandem mass-spectrometry to determine the concentrations of 404 lipid species across 17 lipid classes. The birthweights were standardized for sex and gestational age by local references, and regression analyses were adjusted for the maternal age, BMI, parity, mode of delivery, insulin treatment, and fasting/2 h glucose, with a false discovery-corrected p < 0.05 considered significant. Ten lysophosphatidylcholines (LPCs) and two lysophosphatidylethanolamines were positively associated with the birthweight percentiles, while twenty-four triacylglycerols were negatively associated with the birthweight percentiles. The topmost associated lipid was LPC 20:2 [21.28 (95%CI 12.70, 29.87) percentile increase in the standardized birthweight with each SD-unit increase in log10-transformed concentration]. Within these same regression models, maternal glycemia did not significantly associate with the birthweight percentiles. Specific fetal circulating lysophospholipids and triacylglycerols associate with birthweight independently of maternal glycemia, but a causal relationship remains to be established.
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Affiliation(s)
- Gerard Wong
- Singapore Institute for Clinical Sciences (SICS), A*STAR, Singapore 117609, Singapore (K.N.); (P.D.G.); (N.K.)
| | - Kothandaraman Narasimhan
- Singapore Institute for Clinical Sciences (SICS), A*STAR, Singapore 117609, Singapore (K.N.); (P.D.G.); (N.K.)
| | - Wei Fun Cheong
- Singapore Lipidomics Incubator, Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117593, Singapore; (W.F.C.); (A.K.B.); (M.R.W.)
| | - Sharon Ng
- Singapore Institute for Clinical Sciences (SICS), A*STAR, Singapore 117609, Singapore (K.N.); (P.D.G.); (N.K.)
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore 117593, Singapore; (S.N.); (Y.S.C.)
| | - Izzuddin M. Aris
- Division of Chronic Disease Research across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA;
| | - See Ling Loy
- KK Women’s and Children’s Hospital (KKH), Singapore 229899, Singapore; (S.L.L.); (K.H.T.); (F.K.P.Y.)
| | - Anne K. Bendt
- Singapore Lipidomics Incubator, Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117593, Singapore; (W.F.C.); (A.K.B.); (M.R.W.)
| | - Kok Hian Tan
- KK Women’s and Children’s Hospital (KKH), Singapore 229899, Singapore; (S.L.L.); (K.H.T.); (F.K.P.Y.)
| | - Fabian K. P. Yap
- KK Women’s and Children’s Hospital (KKH), Singapore 229899, Singapore; (S.L.L.); (K.H.T.); (F.K.P.Y.)
| | - Lynette P. Shek
- Singapore Institute for Clinical Sciences (SICS), A*STAR, Singapore 117609, Singapore (K.N.); (P.D.G.); (N.K.)
- Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore; (L.P.S.); (Y.S.L.)
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences (SICS), A*STAR, Singapore 117609, Singapore (K.N.); (P.D.G.); (N.K.)
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore 117593, Singapore; (S.N.); (Y.S.C.)
| | - Peter D. Gluckman
- Singapore Institute for Clinical Sciences (SICS), A*STAR, Singapore 117609, Singapore (K.N.); (P.D.G.); (N.K.)
| | - Keith M. Godfrey
- MRC Lifecourse Epidemiology Centre, University of Southampton, University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton, University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences (SICS), A*STAR, Singapore 117609, Singapore (K.N.); (P.D.G.); (N.K.)
- Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore; (L.P.S.); (Y.S.L.)
| | - Markus R. Wenk
- Singapore Lipidomics Incubator, Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117593, Singapore; (W.F.C.); (A.K.B.); (M.R.W.)
| | - Neerja Karnani
- Singapore Institute for Clinical Sciences (SICS), A*STAR, Singapore 117609, Singapore (K.N.); (P.D.G.); (N.K.)
| | - Shiao-Yng Chan
- Singapore Institute for Clinical Sciences (SICS), A*STAR, Singapore 117609, Singapore (K.N.); (P.D.G.); (N.K.)
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore 117593, Singapore; (S.N.); (Y.S.C.)
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14
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Huang J, Kee MZL, Law EC, Sum KK, Silveira PP, Godfrey KM, Daniel LM, Tan KH, Chong YS, Chan SY, Eriksson JG, Meaney MJ, Huang JY. Parental and child genetic burden of glycaemic dysregulation and early-life cognitive development: an Asian and European prospective cohort study. Transl Psychiatry 2024; 14:2. [PMID: 38177108 PMCID: PMC10766615 DOI: 10.1038/s41398-023-02694-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 11/27/2023] [Accepted: 11/29/2023] [Indexed: 01/06/2024] Open
Abstract
Insulin resistance and glucose metabolism have been associated with neurodevelopmental disorders. However, in the metabolically more susceptible Asian populations, it is not clear whether the genetic burden of glycaemic dysregulation influences early-life neurodevelopment. In a multi-ethnic Asian prospective cohort study in Singapore (Growing Up in Singapore Towards healthy Outcomes (GUSTO)), we constructed child and parental polygenic risk scores (PRS) for glycaemic dysregulation based on the largest genome-wide association studies of type 2 diabetes and fasting glucose among Asians. We found that child PRS for HOMA-IR was associated with a lower perceptual reasoning score at ~7 years (β = -0. 141, p-value = 0.024, 95% CI -0. 264 to -0. 018) and a lower WIAT-III mean score at ~9 years (β = -0.222, p-value = 0.001, 95% CI -0.357 to -0.087). This association were consistent in direction among boys and girls. These inverse associations were not influenced by parental PRS and were likely mediated via insulin resistance rather than mediators such as birth weight and childhood body mass index. Higher paternal PRS for HOMA-IR was suggestively associated with lower child perceptual reasoning at ~7 years (β = -0.172, p-value = 0.002, 95% CI -0.280 to -0.064). Replication analysis in a European cohort, the Avon Longitudinal Study of Parents and Children (ALSPAC) birth cohort, showed that higher child PRS for fasting glucose was associated with lower verbal IQ score while higher maternal PRS for insulin resistance was associated with lower performance IQ score in their children at ~8.5 years. In summary, our findings suggest that higher child PRS for HOMA-IR was associated with lower cognitive scores in both Asian and European replication cohorts. Differential findings between cohorts may be attributed to genetic and environmental factors. Further investigation of the functions of the genetic structure and ancestry-specific PRS and a more comprehensive investigation of behavioural mediators may help to understand these findings better.
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Affiliation(s)
- Jian Huang
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, UK.
| | - Michelle Z L Kee
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Evelyn C Law
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Paediatrics, Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, Singapore, Singapore
| | - Ka Kei Sum
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Patricia Pelufo Silveira
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Psychiatry, Faculty of Medicine and Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Centre, McGill University, Montreal, Quebec, Canada
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Centre and NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Lourdes Mary Daniel
- Department of Child Development, KK Women's and Children's Hospital, Singapore, Singapore
| | - Kok Hian Tan
- Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore, Singapore
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Obstetrics & Gynaecology, National University Health System, Singapore, Singapore
- Yong Loo Lin School of Medicine, Human Potential Translational Research Programme, National University of Singapore, Singapore, Singapore
| | - Shiao-Yng Chan
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Yong Loo Lin School of Medicine, Human Potential Translational Research Programme, National University of Singapore, Singapore, Singapore
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Johan G Eriksson
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Yong Loo Lin School of Medicine, Human Potential Translational Research Programme, National University of Singapore, Singapore, Singapore
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of general practice and primary health care, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - Michael J Meaney
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Psychiatry, Faculty of Medicine and Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Centre, McGill University, Montreal, Quebec, Canada
- Brain-Body Initiative, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Jonathan Yinhao Huang
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore
- Thompson School of Social Work & Public Health, Office of Public Health Studies, University of Hawai'i at Mānoa, Honolulu, HI, USA
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15
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Kway YM, Thirumurugan K, Michael N, Tan KH, Godfrey KM, Gluckman P, Chong YS, Venkataraman K, Khoo EYH, Khoo CM, Leow MKS, Tai ES, Chan JK, Chan SY, Eriksson JG, Fortier MV, Lee YS, Velan SS, Feng M, Sadananthan SA. A fully convolutional neural network for comprehensive compartmentalization of abdominal adipose tissue compartments in MRI. Comput Biol Med 2023; 167:107608. [PMID: 37897959 DOI: 10.1016/j.compbiomed.2023.107608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 09/18/2023] [Accepted: 10/17/2023] [Indexed: 10/30/2023]
Abstract
BACKGROUND Existing literature has highlighted structural, physiological, and pathological disparities among abdominal adipose tissue (AAT) sub-depots. Accurate separation and quantification of these sub-depots are crucial for advancing our understanding of obesity and its comorbidities. However, the absence of clear boundaries between the sub-depots in medical imaging data has challenged their separation, particularly for internal adipose tissue (IAT) sub-depots. To date, the quantification of AAT sub-depots remains challenging, marked by a time-consuming, costly, and complex process. PURPOSE To implement and evaluate a convolutional neural network to enable granular assessment of AAT by compartmentalization of subcutaneous adipose tissue (SAT) into superficial subcutaneous (SSAT) and deep subcutaneous (DSAT) adipose tissue, and IAT into intraperitoneal (IPAT), retroperitoneal (RPAT), and paraspinal (PSAT) adipose tissue. MATERIAL AND METHODS MRI datasets were retrospectively collected from Singapore Preconception Study for Long-Term Maternal and Child Outcomes (S-PRESTO: 389 women aged 31.4 ± 3.9 years) and Singapore Adult Metabolism Study (SAMS: 50 men aged 28.7 ± 5.7 years). For all datasets, ground truth segmentation masks were created through manual segmentation. A Res-Net based 3D-UNet was trained and evaluated via 5-fold cross-validation on S-PRESTO data (N = 300). The model's final performance was assessed on a hold-out (N = 89) and an external test set (N = 50, SAMS). RESULTS The proposed method enabled reliable segmentation of individual AAT sub-depots in 3D MRI volumes with high mean Dice similarity scores of 98.3%, 97.2%, 96.5%, 96.3%, and 95.9% for SSAT, DSAT, IPAT, RPAT, and PSAT respectively. CONCLUSION Convolutional neural networks can accurately sub-divide abdominal SAT into SSAT and DSAT, and abdominal IAT into IPAT, RPAT, and PSAT with high accuracy. The presented method has the potential to significantly contribute to advancements in the field of obesity imaging and precision medicine.
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Affiliation(s)
- Yeshe M Kway
- Singapore Institute for Clinical Sciences, Agency for Science Technology, and Research, Singapore; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Kashthuri Thirumurugan
- Singapore Institute for Clinical Sciences, Agency for Science Technology, and Research, Singapore
| | - Navin Michael
- Singapore Institute for Clinical Sciences, Agency for Science Technology, and Research, Singapore
| | - Kok Hian Tan
- Duke-National University of Singapore Graduate Medical School, Singapore; Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Centre & NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Peter Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science Technology, and Research, Singapore
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science Technology, and Research, Singapore; Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Kavita Venkataraman
- Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore
| | - Eric Yin Hao Khoo
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Chin Meng Khoo
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Medicine, National University Health System, Singapore
| | - Melvin Khee-Shing Leow
- Singapore Institute for Clinical Sciences, Agency for Science Technology, and Research, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University (NTU), Singapore; Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Endocrinology, Division of Medicine, Tan Tock Seng Hospital (TTSH), Singapore
| | - E Shyong Tai
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Division of Endocrinology, University Medicine Cluster, National University Health System, Singapore
| | - Jerry Ky Chan
- Department of Reproductive Medicine, KK Women's and Children's Hospital, Singapore; Experimental Fetal Medicine Group, Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University Health System, Singapore
| | - Shiao-Yng Chan
- Singapore Institute for Clinical Sciences, Agency for Science Technology, and Research, Singapore; Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Johan G Eriksson
- Singapore Institute for Clinical Sciences, Agency for Science Technology, and Research, Singapore; Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Folkhälsan Research Center, Helsinki, Finland
| | - Marielle V Fortier
- Singapore Institute for Clinical Sciences, Agency for Science Technology, and Research, Singapore; Department of Diagnostic and Interventional Imaging, KK Women's and Children's Hospital, Singapore
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences, Agency for Science Technology, and Research, Singapore; Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Division of Paediatric Endocrinology, Department of Paediatrics, Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, Singapore
| | - S Sendhil Velan
- Singapore Institute for Clinical Sciences, Agency for Science Technology, and Research, Singapore
| | - Mengling Feng
- Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore; Institute of Data Science, National University of Singapore, Singapore
| | - Suresh Anand Sadananthan
- Singapore Institute for Clinical Sciences, Agency for Science Technology, and Research, Singapore.
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16
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Yang J, Song Y, Gaskins AJ, Li LJ, Huang Z, Eriksson JG, Hu FB, Chong YS, Zhang C. Mediterranean diet and female reproductive health over lifespan: a systematic review and meta-analysis. Am J Obstet Gynecol 2023; 229:617-631. [PMID: 37506751 DOI: 10.1016/j.ajog.2023.05.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 05/16/2023] [Accepted: 05/21/2023] [Indexed: 07/30/2023]
Abstract
OBJECTIVE We conducted a systematic review and meta-analysis of the effects of Mediterranean diet on female reproductive health outcomes over the life-course. DATA SOURCES We searched PubMed, Embase, MEDLINE, Cochrane Central Register of Controlled Trials (CENTRAL), and ClinicalTrials.gov to identify eligible studies published till February 2022. Eligible references from identified studies and review articles were also considered. STUDY ELIGIBILITY CRITERIA Randomized controlled trials, prospective cohort studies, or nested case-control studies examining Mediterranean diet and major female reproductive outcomes over the lifespan, including clinical outcomes from childhood to adulthood (menarche, polycystic ovary syndrome, endometriosis, and outcomes related to fertility, pregnancy, and menopause), were included for review. METHODS Two independent reviewers screened and performed data extraction and risk-of-bias assessment. We performed random-effects meta-analysis to obtain summary relative risks and 95% confidence intervals for major female reproductive outcomes. Subgroup analyses were performed for several pregnancy outcomes according to timing of the interventions for randomized controlled trials and timing of the dietary assessment for observational studies. RESULTS Thirty-two studies (9 randomized controlled trials, 22 prospective cohort studies, and 1 nested case-control study) involving 103,204 predominantly White women (>95%) were included. The pooled relative risk (95% confidence interval) comparing randomization to Mediterranean diet vs a control diet based on 7 randomized controlled trials was 0.74 (0.55-0.99) for gestational diabetes mellitus, 0.45 (0.26-0.76) for preterm birth, 0.71 (0.51-1.00) for gestational hypertension, and 0.82 (0.54-1.22) for preeclampsia; the effect sizes for preterm birth were greater in randomized controlled trials that initiated the interventions in first trimester vs after first trimester (P heterogeneity=.02). We observed inverse associations for all the above-mentioned pregnancy outcomes based on 9 cohort studies. There was suggestive evidence of favorable associations between Mediterranean diet adherence with fertility and gestational weight management. Limited studies suggested associations between higher Mediterranean diet adherence and later time to menarche and fewer vasomotor menopausal symptoms, null associations for polycystic ovary syndrome-like phenotype and pregnancy loss, and positive associations for luteal phase deficiency. CONCLUSION Adherence to Mediterranean diet may lower risks of adverse pregnancy outcomes among predominantly White populations. For fertility-related outcomes, available evidence supporting potential beneficial effects is suggestive yet limited. For other reproductive outcomes across the lifespan, data remains sparse.
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Affiliation(s)
- Jiaxi Yang
- Global Centre for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Bia-Echo Asia Centre for Reproductive Longevity & Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Yiqing Song
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN
| | - Audrey J Gaskins
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Ling-Jun Li
- Global Centre for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Bia-Echo Asia Centre for Reproductive Longevity & Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Zhongwei Huang
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Bia-Echo Asia Centre for Reproductive Longevity & Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (A∗STAR), Singapore Institute for Clinical Sciences (SICS), Singapore
| | - Johan G Eriksson
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Folkhälsan Research Center, Helsinki, Finland; Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University Singapore, Singapore; Agency for Science, Technology and Research (A∗STAR), Singapore Institute for Clinical Sciences (SICS), Singapore
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Yap Seng Chong
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Cuilin Zhang
- Global Centre for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Bia-Echo Asia Centre for Reproductive Longevity & Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.
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17
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Godfrey KM, Titcombe P, El-Heis S, Albert BB, Tham EH, Barton SJ, Kenealy T, Chong MFF, Nield H, Chong YS, Chan SY, Cutfield WS. Maternal B-vitamin and vitamin D status before, during, and after pregnancy and the influence of supplementation preconception and during pregnancy: Prespecified secondary analysis of the NiPPeR double-blind randomized controlled trial. PLoS Med 2023; 20:e1004260. [PMID: 38051700 PMCID: PMC10697591 DOI: 10.1371/journal.pmed.1004260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Accepted: 11/01/2023] [Indexed: 12/07/2023] Open
Abstract
BACKGROUND Maternal vitamin status preconception and during pregnancy has important consequences for pregnancy outcome and offspring development. Changes in vitamin status from preconception through early and late pregnancy and postpartum have been inferred from cross-sectional data, but longitudinal data on vitamin status from preconception throughout pregnancy and postdelivery are sparse. As such, the influence of vitamin supplementation on vitamin status during pregnancy remains uncertain. This study presents one prespecified outcome from the randomized controlled NiPPeR trial, aiming to identify longitudinal patterns of maternal vitamin status from preconception, through early and late pregnancy, to 6 months postdelivery, and determine the influence of vitamin supplementation. METHODS AND FINDINGS In the NiPPeR trial, 1,729 women (from the United Kingdom, Singapore, and New Zealand) aged 18 to 38 years and planning conception were randomized to receive a standard vitamin supplement (control; n = 859) or an enhanced vitamin supplement (intervention; n = 870) starting in preconception and continued throughout pregnancy, with blinding of participants and research staff. Supplement components common to both treatment groups included folic acid, β-carotene, iron, calcium, and iodine; components additionally included in the intervention group were riboflavin, vitamins B6, B12, and D (in amounts available in over-the-counter supplements), myo-inositol, probiotics, and zinc. The primary outcome of the study was glucose tolerance at 28 weeks' gestation, measured by oral glucose tolerance test. The secondary outcome reported in this study was the reduction in maternal micronutrient insufficiency in riboflavin, vitamin B6, vitamin B12, and vitamin D, before and during pregnancy. We measured maternal plasma concentrations of B-vitamins, vitamin D, and markers of insufficiency/deficiency (homocysteine, hydroxykynurenine-ratio, methylmalonic acid) at recruitment, 1 month after commencing intervention preconception, in early pregnancy (7 to 11 weeks' gestation) and late pregnancy (around 28 weeks' gestation), and postdelivery (6 months after supplement discontinuation). We derived standard deviation scores (SDS) to characterize longitudinal changes among participants in the control group and measured differences between the 2 groups. At recruitment, the proportion of patients with marginal or low plasma status was 29.2% for folate (<13.6 nmol/L), 7.5% and 82.0% for riboflavin (<5 nmol/L and ≤26.5 nmol/L, respectively), 9.1% for vitamin B12 (<221 pmol/L), and 48.7% for vitamin D (<50 nmol/L); these proportions were balanced between the groups. Over 90% of all participants had low or marginal status for one or more of these vitamins at recruitment. Among participants in the control group, plasma concentrations of riboflavin declined through early and late pregnancy, whereas concentrations of 25-hydroxyvitamin D were unchanged in early pregnancy, and concentrations of vitamin B6 and B12 declined throughout pregnancy, becoming >1 SDS lower than baseline by 28 weeks gestation. In the control group, 54.2% of participants developed low late-pregnancy vitamin B6 concentrations (pyridoxal 5-phosphate <20 nmol/L). After 1 month of supplementation, plasma concentrations of supplement components were substantially higher among participants in the intervention group than those in the control group: riboflavin by 0.77 SDS (95% CI 0.68 to 0.87, p < 0.0001), vitamin B6 by 1.07 SDS (0.99 to 1.14, p < 0.0001), vitamin B12 by 0.55 SDS (0.46 to 0.64, p < 0.0001), and vitamin D by 0.51 SDS (0.43 to 0.60, p < 0.0001), with higher levels in the intervention group maintained during pregnancy. Markers of vitamin insufficiency/deficiency were reduced in the intervention group, and the proportion of participants with vitamin D insufficiency (<50 nmol/L) during late pregnancy was lower in the intervention group (35.1% versus 8.5%; p < 0.0001). Plasma vitamin B12 remained higher in the intervention group than in the control group 6 months postdelivery (by 0.30 SDS (0.14, 0.46), p = 0.0003). The main limitation is that generalizability to the global population is limited by the high-resource settings and the lack of African and Amerindian women in particular. CONCLUSIONS Over 90% of the trial participants had marginal or low concentrations of one or more of folate, riboflavin, vitamin B12, or vitamin D during preconception, and many developed markers of vitamin B6 deficiency in late pregnancy. Preconception/pregnancy supplementation in amounts available in over-the-counter supplements substantially reduces the prevalence of vitamin deficiency and depletion markers before and during pregnancy, with higher maternal plasma vitamin B12 maintained during the recommended lactational period. TRIAL REGISTRATION ClinicalTrials.gov NCT02509988; U1111-1171-8056.
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Affiliation(s)
- Keith M. Godfrey
- MRC Lifecourse Epidemiology Centre, University of Southampton, University Hospital Southampton, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton, NHS Foundation Trust, Southampton, United Kingdom
| | - Philip Titcombe
- MRC Lifecourse Epidemiology Centre, University of Southampton, University Hospital Southampton, Southampton, United Kingdom
| | - Sarah El-Heis
- MRC Lifecourse Epidemiology Centre, University of Southampton, University Hospital Southampton, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton, NHS Foundation Trust, Southampton, United Kingdom
| | | | - Elizabeth Huiwen Tham
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
| | - Sheila J. Barton
- MRC Lifecourse Epidemiology Centre, University of Southampton, University Hospital Southampton, Southampton, United Kingdom
| | - Timothy Kenealy
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Mary Foong-Fong Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Heidi Nield
- MRC Lifecourse Epidemiology Centre, University of Southampton, University Hospital Southampton, Southampton, United Kingdom
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore
- Department of Obstetrics and Gynaecology, National University Hospital, Singapore
| | - Shiao-Yng Chan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore
- Department of Obstetrics and Gynaecology, National University Hospital, Singapore
| | - Wayne S. Cutfield
- Liggins Institute, University of Auckland, Auckland, New Zealand
- A Better Start, New Zealand National Science Challenge, Auckland, New Zealand
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18
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Liu M, Chan SY, Eriksson JG, Chong YS, Lee YS, Yap F, Chong MFF, Tint MT, Yang J, Burgner D, Zhang C, Li LJ. Maternal glycemic status during pregnancy and mid-childhood plasma amino acid profiles: findings from a multi-ethnic Asian birth cohort. BMC Med 2023; 21:472. [PMID: 38031185 PMCID: PMC10688057 DOI: 10.1186/s12916-023-03188-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 11/21/2023] [Indexed: 12/01/2023] Open
Abstract
BACKGROUND Increasing maternal glycaemia across the continuum during pregnancy may predispose offspring to subsequent cardiometabolic risk later in life. However, evidence of long-term impacts of maternal glycemic status on offspring amino acid (AA) profiles is scarce. We aimed to investigate the association between maternal antenatal glycaemia and offspring mid-childhood amino acid (AA) profiles, which are emerging cardiometabolic biomarkers. METHODS Data were drawn from the Growing Up in Singapore Towards healthy Outcomes (GUSTO) study, a multi-ethnic Asian birth cohort. A subset of 422 mother-child dyads from the GUSTO study, who was followed from early pregnancy to mid-childhood, was included. Mothers underwent an oral glucose tolerance test (OGTT) at 26-28 weeks gestation, with fasting and 2-h plasma glucose concentrations measured and gestational diabetes mellitus (GDM) diagnosed per WHO 1999 guidelines. Offspring fasting plasma samples were collected at mean age 6.1 years, from which AA profiles of nine AAs, alanine, glutamine, glycine, histidine, isoleucine, leucine, valine, phenylalanine, and tyrosine were measured. Total branched-chain amino acids (BCAAs) were calculated as the sum of isoleucine, leucine, and valine concentrations. Multi-variable linear regression was used to estimate the association of maternal glycemic status and offspring mid-childhood AA profiles adjusting for maternal age, ethnicity, maternal education, parity, family history of diabetes, ppBMI, child sex, age and BMI z-scores. RESULTS Approximately 20% of mothers were diagnosed with GDM. Increasing maternal fasting glucose was significantly associated with higher offspring plasma valine and total BCAAs, whereas higher 2-h glucose was significantly associated with higher histidine, isoleucine, valine, and total BCAAs. Offspring born to mothers with GDM had higher valine (standardized mean difference 0.27 SD; 95% CI: 0.01, 0.52), leucine (0.28 SD; 0.02, 0.53), and total BCAAs (0.26 SD; 0.01, 0.52) than their counterparts. Inconsistent associations were found between maternal GDM and other amino acids among offspring during mid-childhood. CONCLUSIONS Increasing maternal fasting and post-OGTT glucose concentrations at 26-28 weeks gestation were significantly associated with mid-childhood individual and total BCAAs concentrations. The findings suggest that elevated maternal glycaemia throughout pregnancy, especially GDM, may have persistent programming effects on offspring AA metabolism which were strongly associated with adverse cardiometabolic profiles at mid-childhood.
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Affiliation(s)
- Mengjiao Liu
- School of Public Health, Nanchang University, Jiangxi, China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Jiangxi, China
| | - Shiao-Yng Chan
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Johan G Eriksson
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - Yap Seng Chong
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yung Seng Lee
- Departments of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Division of Pediatric Endocrinology, Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, Singapore, Singapore
| | - Fabian Yap
- Departments of Pediatrics, and Diagnostic and Interventional Imaging, KK Women's and Children's Hospital, Singapore, Singapore
- Graduate Medical School, Duke-National University of Singapore, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Mary Foong-Fong Chong
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Mya Thway Tint
- Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Agency for Science, Technology and Research (A*STAR), Singapore Institute for Clinical Sciences (SICS), Singapore, Singapore
| | - Jiaxi Yang
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Global Centre for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Asia Centre for Reproductive Longevity & Equality, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - David Burgner
- Murdoch Children's Research Institute, Melbourne, VIC, Australia
- Department of Paediatrics, The University of Melbourne, Melbourne, VIC, Australia
- Department of Paediatrics, Monash University, Melbourne, Australia
| | - Cuilin Zhang
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Global Centre for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Asia Centre for Reproductive Longevity & Equality, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Ling-Jun Li
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Global Centre for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Asia Centre for Reproductive Longevity & Equality, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
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19
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Chua JYX, Choolani M, Lalor JG, Chong YS, Shorey S. Insights of healthcare professionals regarding waterbirths and water immersion during labour: A mixed studies review. J Adv Nurs 2023. [PMID: 37994222 DOI: 10.1111/jan.15975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 11/07/2023] [Indexed: 11/24/2023]
Abstract
AIM To consolidate healthcare professionals' insights about waterbirths and water immersion during labour. DESIGN Mixed studies review. DATA SOURCES Seven electronic databases were searched from their inception dates till June 2023: PubMed, Embase, CINAHL, PsycINFO, Web of Science, Scopus, ProQuest Dissertations and Theses Global. METHODS The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines and Pluye and Hong's mixed studies review framework guided this review. The quality of included studies was evaluated using the Mixed Methods Appraisal Tool. Findings were synthesized using the convergent qualitative synthesis method, and results were thematically analysed using Braun and Clarke's framework. RESULTS Three main themes were identified from the 22 included studies: (1) believing in waterbirths, (2) opposing forces and (3) plotting the course ahead. CONCLUSION Healthcare professionals reported different views about waterbirths and water immersion practices; midwives were most likely to support these practices, followed by nurses and lastly, few physicians supported them. Reasons for opposing waterbirths include insufficient training and support from colleagues as well as concerns about work efficiency, waterbirth safety and litigation issues. IMPACT The available evidence suggests the need to provide waterbirth training for healthcare professionals, equip healthcare facilities with necessary waterbirth-related infrastructure and develop appropriate waterbirth policies/guidelines. Healthcare professionals could also consider providing antenatal waterbirth education to women and obtain women's feedback to improve current policies/guidelines. Future research should explore the views of different types of healthcare professionals from more diverse cultures. REPORTING METHOD The PRISMA guidelines. NO PATIENT OR PUBLIC CONTRIBUTION Systematic review.
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Affiliation(s)
- Joelle Yan Xin Chua
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Mahesh Choolani
- Department of Obstetrics and Gynaecology, National University Hospital, Singapore
| | | | - Yap Seng Chong
- Department of Obstetrics and Gynaecology, National University Hospital, Singapore
| | - Shefaly Shorey
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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20
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Fitzgerald E, Shen M, Yong HEJ, Wang Z, Pokhvisneva I, Patel S, O'Toole N, Chan SY, Chong YS, Chen H, Gluckman PD, Chan J, Lee PKM, Meaney MJ. Hofbauer cell function in the term placenta associates with adult cardiovascular and depressive outcomes. Nat Commun 2023; 14:7120. [PMID: 37963865 PMCID: PMC10645763 DOI: 10.1038/s41467-023-42300-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 10/05/2023] [Indexed: 11/16/2023] Open
Abstract
Pathological placental inflammation increases the risk for several adult disorders, but these mediators are also expressed under homeostatic conditions, where their contribution to adult health outcomes is unknown. Here we define an inflammation-related expression signature, primarily expressed in Hofbauer cells of the term placenta and use expression quantitative trait loci to create a polygenic score (PGS) predictive of its expression. Using this PGS in the UK Biobank we conduct a phenome-wide association study, followed by Mendelian randomization and identify protective, sex-dependent effects of the placental module on cardiovascular and depressive outcomes. Genes differentially regulated by intra-amniotic infection and preterm birth are over-represented within the module. We also identify aspirin as a putative modulator of this inflammation-related signature. Our data support a model where disruption of placental Hofbauer cell function, due to preterm birth or prenatal infection, contributes to the increased risk of depression and cardiovascular disease observed in these individuals.
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Affiliation(s)
- Eamon Fitzgerald
- Sackler Program for Epigenetics and Psychobiology, McGill University, Montréal, Canada.
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montréal, Canada.
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Canada.
| | - Mojun Shen
- Singapore Institute for Clinical Sciences, Agency for Science, Technology & Research, Singapore, Singapore
| | - Hannah Ee Juen Yong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology & Research, Singapore, Singapore
| | - Zihan Wang
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Canada
| | - Irina Pokhvisneva
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Canada
| | - Sachin Patel
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Canada
| | - Nicholas O'Toole
- Sackler Program for Epigenetics and Psychobiology, McGill University, Montréal, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montréal, Canada
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Canada
| | - Shiao-Yng Chan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology & Research, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology & Research, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Helen Chen
- KK Women's and Children's Hospital, Singapore, Singapore
- Duke-National University of Singapore, Singapore, Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science, Technology & Research, Singapore, Singapore
- The University of Auckland, Auckland, New Zealand
| | - Jerry Chan
- KK Women's and Children's Hospital, Singapore, Singapore
- Duke-National University of Singapore, Singapore, Singapore
| | - Patrick Kia Ming Lee
- Brain - Body Initiative, Agency for Science, Technology & Research, Singapore, Singapore
| | - Michael J Meaney
- Sackler Program for Epigenetics and Psychobiology, McGill University, Montréal, Canada.
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Canada.
- Singapore Institute for Clinical Sciences, Agency for Science, Technology & Research, Singapore, Singapore.
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Brain - Body Initiative, Agency for Science, Technology & Research, Singapore, Singapore.
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21
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Lai JS, Godfrey KM, Ong CN, Tan KH, Yap F, Chong YS, Chan JKY, Chan SY, Chong MFF. Perinatal Plasma Carotenoids and Vitamin E Concentrations with Glycemia and Insulin Resistance in Women during and after Pregnancy. Nutrients 2023; 15:4421. [PMID: 37892496 PMCID: PMC10610276 DOI: 10.3390/nu15204421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 10/11/2023] [Accepted: 10/16/2023] [Indexed: 10/29/2023] Open
Abstract
We examined the associations of perinatal plasma carotenoids and E vitamers concentrations with glycemia, insulin resistance, and gestational and type 2 diabetes mellitus during pregnancy and post-pregnancy in GUSTO women. Plasma carotenoid and E vitamer concentrations were measured at delivery, and principal component analysis was used to derive the patterns of their concentrations. Fasting and 2 h glucose levels and fasting insulin were measured at 26-28 weeks gestation and 4-6 years post-pregnancy, with the derivation of homeostatic model assessment for insulin resistance (HOMA-IR). In 678 women, two carotenoid patterns (CP1: α- and β-carotene and lutein; CP2: zeaxanthin, lycopene, and β-cryptoxanthin) and one E vitamer pattern (VE: γ-, δ-, and α-tocopherols) were derived. A higher CP1 score (1-SD) was associated with lower gestational fasting glucose (β (95%CI): -0.06 (-0.10, -0.02) mmol/L) and lower gestational (-0.17 (-0.82, 0.01) mmol/L, p = 0.06) and post-pregnancy HOMA-IR (-0.11 (-0.15, -0.08) mmol/L). A higher VE score (1 SD) was associated with higher gestational and post-pregnancy fasting and 2 h glucose (gestational: 0.05 (0.01, 0.08) and 0.08 (0.01, 0.16); post-pregnancy: 0.19 (0.07, 0.31) and 0.24 (0.06, 0.42) mmol/L). Higher α- and β-carotene and lutein may be beneficial for gestational fasting glycemia, but higher vitamin E may increase gestational and post-pregnancy glycemia, although these findings require confirmation in cohorts with prospective longitudinal measurements of these vitamins.
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Affiliation(s)
- Jun S. Lai
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore 117609, Singapore; (Y.S.C.); (S.-Y.C.); (M.F.-F.C.)
| | - Keith M. Godfrey
- MRC Lifecourse Epidemiology Centre & NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK
| | - Choon Nam Ong
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore;
| | - Kok Hian Tan
- Department of Maternal Fetal Medicine, KK Women’s and Children’s Hospital, Singapore 229899, Singapore;
| | - Fabian Yap
- Department of Paediatric Endocrinology, KK Women’s and Children’s Hospital, Singapore 229899, Singapore;
- Duke-NUS Medical School, Singapore 169857, Singapore
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore 117609, Singapore; (Y.S.C.); (S.-Y.C.); (M.F.-F.C.)
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore 119228, Singapore
| | - Jerry K. Y. Chan
- Department of Reproductive Medicine, KK Women’s and Children’s Hospital, Singapore 229899, Singapore;
| | - Shiao-Yng Chan
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore 117609, Singapore; (Y.S.C.); (S.-Y.C.); (M.F.-F.C.)
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore 119228, Singapore
| | - Mary F.-F. Chong
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore 117609, Singapore; (Y.S.C.); (S.-Y.C.); (M.F.-F.C.)
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore;
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22
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Ng FYC, Thirunavukarasu AJ, Cheng H, Tan TF, Gutierrez L, Lan Y, Ong JCL, Chong YS, Ngiam KY, Ho D, Wong TY, Kwek K, Doshi-Velez F, Lucey C, Coffman T, Ting DSW. Artificial intelligence education: An evidence-based medicine approach for consumers, translators, and developers. Cell Rep Med 2023; 4:101230. [PMID: 37852174 PMCID: PMC10591047 DOI: 10.1016/j.xcrm.2023.101230] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Revised: 09/04/2023] [Accepted: 09/15/2023] [Indexed: 10/20/2023]
Abstract
Current and future healthcare professionals are generally not trained to cope with the proliferation of artificial intelligence (AI) technology in healthcare. To design a curriculum that caters to variable baseline knowledge and skills, clinicians may be conceptualized as "consumers", "translators", or "developers". The changes required of medical education because of AI innovation are linked to those brought about by evidence-based medicine (EBM). We outline a core curriculum for AI education of future consumers, translators, and developers, emphasizing the links between AI and EBM, with suggestions for how teaching may be integrated into existing curricula. We consider the key barriers to implementation of AI in the medical curriculum: time, resources, variable interest, and knowledge retention. By improving AI literacy rates and fostering a translator- and developer-enriched workforce, innovation may be accelerated for the benefit of patients and practitioners.
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Affiliation(s)
- Faye Yu Ci Ng
- Artificial Intelligence and Digital Innovation, Singapore Eye Research Institute, Singapore National Eye Center, Singapore Health Service, Singapore, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Arun James Thirunavukarasu
- Artificial Intelligence and Digital Innovation, Singapore Eye Research Institute, Singapore National Eye Center, Singapore Health Service, Singapore, Singapore; University of Cambridge School of Clinical Medicine, Cambridge, UK; Oxford University Clinical Academic Graduate School, University of Oxford, Oxford, UK
| | - Haoran Cheng
- Artificial Intelligence and Digital Innovation, Singapore Eye Research Institute, Singapore National Eye Center, Singapore Health Service, Singapore, Singapore; Rollins School of Public Health, Emory University, Atlanta, GA, USA; Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Ting Fang Tan
- Artificial Intelligence and Digital Innovation, Singapore Eye Research Institute, Singapore National Eye Center, Singapore Health Service, Singapore, Singapore
| | - Laura Gutierrez
- Artificial Intelligence and Digital Innovation, Singapore Eye Research Institute, Singapore National Eye Center, Singapore Health Service, Singapore, Singapore
| | - Yanyan Lan
- Institute for AI Industry Research (AIR), Tsinghua University, Beijing, China
| | | | - Yap Seng Chong
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Dean's Office, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Kee Yuan Ngiam
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Biomedical Engineering, School of Engineering, National University of Singapore, Singapore, Singapore
| | - Dean Ho
- Biomedical Engineering, School of Engineering, National University of Singapore, Singapore, Singapore; Insitute for Digital Medicine (WisDM), N.1 Institute for Health, National University of Singapore, Singapore, Singapore; Department of Pharmacology, National University of Singapore, Singapore, Singapore
| | - Tien Yin Wong
- Tsinghua Medicine, Tsinghua University, Beijing, China
| | - Kenneth Kwek
- Chief Executive Office, Singapore General Hospital, SingHealth, Singapore, Singapore
| | - Finale Doshi-Velez
- Harvard Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - Catherine Lucey
- Executive Vice Chancellor and Provost Office, University of California, San Francisco, San Francisco, CA, USA
| | - Thomas Coffman
- Duke-NUS Medical School, National University of Singapore, Singapore, Singapore
| | - Daniel Shu Wei Ting
- Artificial Intelligence and Digital Innovation, Singapore Eye Research Institute, Singapore National Eye Center, Singapore Health Service, Singapore, Singapore; Duke-NUS Medical School, National University of Singapore, Singapore, Singapore; Byers Eye Institute, Stanford University, Palo Alto, CA, USA.
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23
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Lau HX, Chen Z, Van Bever H, Tham EH, Chan YH, Yap QV, Goh AEN, Teoh OH, Tan KH, Yap FKP, Godfrey KM, Eriksson JG, Chong YS, Lee BW, Shek LPC, Loo EXL. Clinical predictors of wheeze trajectories and associations with allergy in Asian children. Ann Allergy Asthma Immunol 2023; 131:466-473.e6. [PMID: 37419414 PMCID: PMC10561605 DOI: 10.1016/j.anai.2023.06.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 06/04/2023] [Accepted: 06/27/2023] [Indexed: 07/09/2023]
Abstract
BACKGROUND Childhood wheezing is a highly heterogeneous condition with an incomplete understanding of the characteristics of wheeze trajectories, particularly for persistent wheeze. OBJECTIVE To characterize predictors and allergic comorbidities of distinct wheeze trajectories in a multiethnic Asian cohort. METHODS A total of 974 mother-child pairs from the prospective Growing Up in Singapore Towards healthy Outcomes (GUSTO) cohort were included in this study. Wheeze and allergic comorbidities in the first 8 years of life were assessed using the modified International Study of Asthma and Allergies in Childhood questionnaires and skin prick tests. Group-based trajectory modeling was used to derive wheeze trajectories and regression was used to assess associations with predictive risk factors and allergic comorbidities. RESULTS There were 4 wheeze trajectories derived, including the following: (1) early-onset with rapid remission from age 3 years (4.5%); (2) late-onset peaking at age 3 years and rapidly remitting from 4 years (8.1%); (3) persistent with a steady increase to age 5 years and high wheeze occurrence until 8 years (4.0%); and (4) no or low wheeze (83.4%). Early-onset wheezing was associated with respiratory infections during infancy and linked to subsequent nonallergic rhinitis throughout childhood. Late-onset and persistent wheeze shared similar origins characterized by parent-reported viral infections in later childhood. However, persistent wheezing was generally more strongly associated with a family history of allergy, parent-reported viral infections in later childhood, and allergic comorbidities as compared with late-onset wheezing. CONCLUSION The timing of viral infection occurrence may determine the type of wheeze trajectory development in children. Children with a family history of allergy and viral infections in early life may be predisposed to persistent wheeze development and the associated comorbidities of early allergic sensitization and eczema.
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Affiliation(s)
- Hui Xing Lau
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Zhaojin Chen
- Department of Biostatistics, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore
| | - Hugo Van Bever
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore
| | - Elizabeth Huiwen Tham
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore; Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore; Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, Singapore, Singapore; Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore
| | - Yiong Huak Chan
- Department of Biostatistics, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore
| | - Qai Ven Yap
- Department of Biostatistics, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore
| | - Anne Eng Neo Goh
- Department of Paediatrics, KK Women's and Children's Hospital (KKH), Singapore, Singapore
| | - Oon Hoe Teoh
- Department of Paediatrics, KK Women's and Children's Hospital (KKH), Singapore, Singapore
| | - Kok Hian Tan
- Department of Maternal Fetal Medicine, KKH, Singapore, Singapore
| | - Fabian Kok Peng Yap
- Department of Paediatrics, KK Women's and Children's Hospital (KKH), Singapore, Singapore; Duke- National University of Singapore (NUS) Medical School, Singapore, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Keith M Godfrey
- Faculty of Medicine, School of Human Development and Health, University of Southampton, Southampton, United Kingdom; National Institute for Health Research (NIHR) Southampton Biomedical Research Centre, University Hospital Southampton National Health Service (NHS) Foundation Trust and University of Southampton, Southampton, United Kingdom; Medical Research Council (MRC) Lifecourse Epidemiology Unit, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Johan G Eriksson
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore; Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore; Folkhälsan Research Center, Helsinki, Finland; Department of General Practice and Primary Health Care, University of Helsinki, Finland; Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore (NUS) and National University Health System, Singapore
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore; Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore (NUS) and National University Health System, Singapore
| | - Bee Wah Lee
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore
| | - Lynette Pei-Chi Shek
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore
| | - Evelyn Xiu Ling Loo
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore; Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore; Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore.
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24
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Phua DY, Chen H, Yap F, Chong YS, Gluckman PD, Broekman BFP, Eriksson JG, Meaney MJ. Allostatic load in children: The cost of empathic concern. Proc Natl Acad Sci U S A 2023; 120:e2217769120. [PMID: 37725642 PMCID: PMC10523447 DOI: 10.1073/pnas.2217769120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 07/26/2023] [Indexed: 09/21/2023] Open
Abstract
Early-life adversity affects long-term health outcomes but there is considerable interindividual variability in susceptibility to environmental influences. We proposed that positive psychological characteristics that reflect engagement with context, such as being concerned about people or performance on tasks (i.e., empathic concern), could moderate the interindividual variation in sensitivity to the quality of the early environment. We studied 526 children of various Asian nationalities in Singapore (46.6% female, 13.4% below the poverty line) with longitudinal data on perinatal and childhood experiences, maternal report on empathic concern of the child, and a comprehensive set of physiological measures reflecting pediatric allostatic load assessed at 6 y of age. The perinatal and childhood experiences included adversities and positive experiences. We found that cumulative adverse childhood experience was positively associated with allostatic load of children at 6 y of age at higher levels of empathic concern but not significantly associated at lower levels of empathic concern. This finding reveals evidence for the importance of empathic concern as a psychological characteristic that moderates the developmental impact of environmental influences, serving as a source for vulnerability to adversities in children.
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Affiliation(s)
- Desiree Y. Phua
- Translational Neuroscience Programme, Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore117609, Republic of Singapore
| | - Helen Chen
- Department of Psychological Medicine, Kandang Kerbau Women’s and Children’s Hospital, Singapore229899, Republic of Singapore
- Paediatric Medicine Academic Clinical Programme, Duke-National University of Singapore, Singapore169857, Republic of Singapore
| | - Fabian Yap
- Department of Psychological Medicine, Kandang Kerbau Women’s and Children’s Hospital, Singapore229899, Republic of Singapore
- Department of Paediatric Medicine, Kandang Kerbay Women’s and Children’s Hospital, 100 Bukit Timah Road, Singapore229899, Republic of Singapore
| | - Yap Seng Chong
- Translational Neuroscience Programme, Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore117609, Republic of Singapore
- Yong Loo Lin School of Medicine, Human Potential Translational Research Programme and O&G Department, National University of Singapore, Singapore117597, Singapore
| | - Peter D. Gluckman
- Translational Neuroscience Programme, Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore117609, Republic of Singapore
- Centre for Human Evolution, Adaptation and Disease, Liggins Institute, University of Auckland, Auckland1023, New Zealand
- Public Health Research Program, Folkhalsan Research Center, Helsinki00250, Finland
| | - Birit F. P. Broekman
- Department of Psychiatry, Amsterdam University Medical Centers (UMC) and Onze Lieve Vrouwe Gasthuis (OLVG), Vrije Universiteit (VU), Amsterdam1081 HV, The Netherlands
| | - Johan G. Eriksson
- Translational Neuroscience Programme, Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore117609, Republic of Singapore
- Yong Loo Lin School of Medicine, Human Potential Translational Research Programme and O&G Department, National University of Singapore, Singapore117597, Singapore
- Public Health Research Program, Folkhalsan Research Center, Helsinki00250, Finland
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki00100, Finland
| | - Michael J. Meaney
- Translational Neuroscience Programme, Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore117609, Republic of Singapore
- Yong Loo Lin School of Medicine, Human Potential Translational Research Programme and O&G Department, National University of Singapore, Singapore117597, Singapore
- Brain-Body Initiative, Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore117597, Republic of Singapore
- Sackler Program for Epigenetics and Psychobiology at McGill University, MontrealQCH3A 0G4, Canada
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, MontrealQCH3A 0G4, Canada
- Brain-Body Initiative, Agency for Science, Technology and Research (A*STAR), Singapore138632, Republic of Singapore
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25
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Huang P, Tint MT, Lee M, Ngoh ZM, Gluckman P, Chong YS, Han W, Fu Y, Wee CL, Fortier MV, Ang KK, Lee YS, Yap F, Eriksson JG, Meaney MJ, Tan AP. Functional activity of the caudate mediates the relation between early childhood microstructural variations and elevated metabolic syndrome scores. Neuroimage 2023; 278:120273. [PMID: 37473977 DOI: 10.1016/j.neuroimage.2023.120273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 06/10/2023] [Accepted: 07/11/2023] [Indexed: 07/22/2023] Open
Abstract
BACKGROUND Metabolic syndrome score in children assesses the risk of developing cardiovascular disease in future. We aim to probe the role of the caudate in relation to the metabolic syndrome score. Furthermore, using both functional and structural neuroimaging, we aim to examine the interplay between functional and structural measures. METHODS A longitudinal birth cohort study with functional and structural neuroimaging data obtained at 4.5, 6.0 and 7.5 years and metabolic syndrome scores at 8.0 years was used. Pearson correlation and linear regression was used to test for correlation fractional anisotropy (FA) and fractional amplitude of low frequency fluctuations (fALFF) of the caudate with metabolic syndrome scores. Mediation analysis was used to test if later brain measures mediated the relation between earlier brain measures and metabolic syndrome scores. Inhibitory control was also tested as a mediator of the relation between caudate brain measures and metabolic syndrome scores. RESULTS FA at 4.5 years and fALFF at 7.5 years of the left caudate was significantly correlated with metabolic syndrome scores. Post-hoc mediation analysis showed that fALFF at 7.5 years fully mediated the relation between FA at 4.5 years and metabolic syndrome scores. Inhibitory control was significantly correlated with fALFF at 7.5 years, but did not mediate the relation between fALFF at 7.5 years and metabolic syndrome scores. CONCLUSIONS We found that variations in caudate microstructure at 4.5 years predict later variation in functional activity at 7.5 years. This later variation in functional activity fully mediates the relation between microstructural changes in early childhood and metabolic syndrome scores at 8.0 years.
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Affiliation(s)
- Pei Huang
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore
| | - Mya Thway Tint
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore
| | - Marissa Lee
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore
| | - Zhen Ming Ngoh
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Peter Gluckman
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore; Centre for Human Evolution, Adaptation and Disease, Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore; Department of Obstetrics & Gynaecology, National University Hospital Singapore, Singapore
| | - Weiping Han
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (A*STAR), Singapore; Center for Neuro-Metabolism and Regeneration Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China; School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Yu Fu
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (A*STAR), Singapore
| | - Caroline Lei Wee
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (A*STAR), Singapore
| | - Marielle V Fortier
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore; Department of Diagnostic and Interventional Radiology, KK Women's and Children's Hospital, Singapore
| | - Kai Keng Ang
- Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore; School of Computer Science and Engineering, Nanyang Technological University, Singapore
| | - Yung Seng Lee
- Department of Paedatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Fabian Yap
- Department of Paediatrics, Endocrinology Service, KK Women's and Children's Hospital, Singapore, Singapore
| | - Johan G Eriksson
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore; Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland; Folkhälsan Research Center, Helsinki, Finland
| | - Michael J Meaney
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada; Brain - Body Initiative, Agency for Science and Technology (A*STAR), Singapore
| | - Ai Peng Tan
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore; Department of Diagnostic Imaging, National University Hospital Singapore, Singapore.
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26
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Tsotsi S, Borelli JL, Backer M, Veragoo N, Abdulla N, Tan KH, Chong YS, Chen H, Meaney MJ, Broekman B, Rifkin-Graboi A. Preschoolers' emotion reactivity and regulation: Links with maternal psychological distress and child behavior problems. Dev Psychopathol 2023; 35:1079-1091. [PMID: 34779373 DOI: 10.1017/s0954579421000936] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Maladaptive offspring emotion regulation has been identified as one pathway linking maternal and child psychological well-being in school-aged children. Whether such a pathway is present earlier in life still remains unclear. The present study investigated the role of preschoolers' emotion reactivity and regulation in the association between maternal psychological distress and child internalizing and externalizing problems. Children's emotion reactivity and regulation were assessed through both observed behavior and physiology. At 42 months of age, children (n = 251; 128 girls) completed a fear induction task during which their heart-rate variability was assessed and their behavior was monitored, and maternal self-reports on depressive mood and anxiety were collected. At 48 months mothers and fathers reported on their children's internalizing and externalizing problems. Higher maternal depressive mood was associated with lower child fear-related reactivity and regulation, as indexed by heart-rate variability. The latter mediated the association between higher maternal depressive mood and higher preschoolers' externalizing problems. Overall, our findings support the role of preschoolers' emotion reactivity and regulation in the relationship between maternal psychological distress and children's socio-emotional difficulties. This role may also depend on the discrete emotion to which children react or seek to regulate as, here, we only assessed fear-related reactivity and regulation.
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Affiliation(s)
- Stella Tsotsi
- 1PROMENTA Research Centre, Department of Psychology, University of Oslo, Oslo, Norway
| | - Jessica L Borelli
- 2Department of Psychology and Social Behavior, School of Social Ecologgy, University of California, Irvine, USA
| | - Mumtaz Backer
- 3Singapore Institute for Clinical Sciences, Agency of Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Noraini Veragoo
- 3Singapore Institute for Clinical Sciences, Agency of Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Nurshuhadah Abdulla
- 3Singapore Institute for Clinical Sciences, Agency of Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Kok Hian Tan
- 4Department of Psychological Medicine, Kandang Kerbau Women and Children's Hospital, Singapore, Singapore
| | - Yap Seng Chong
- 3Singapore Institute for Clinical Sciences, Agency of Science, Technology and Research (A*STAR), Singapore, Singapore
- 5Department of Obstetrics & Gynecology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Helen Chen
- 4Department of Psychological Medicine, Kandang Kerbau Women and Children's Hospital, Singapore, Singapore
- 6Faculty of Pediatrics, Duke-NUS Medical School, Singapore, Singapore
| | - Michael J Meaney
- 7Department of Psychiatry, McGill University, Montreal, Québec, Canada
| | - Birit Broekman
- 8Department of Psychiatry, OLVG and Amsterdam UMC, VU University, Amsterdam, The Netherlands
| | - Anne Rifkin-Graboi
- 9Centre for Research in Child Development, National Institute of Education, Nanyang Technological University, Singapore, Singapore
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27
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Pai RD, Chong YS, Clemente-Chua LR, Irwinda R, Huynh TNK, Wibowo N, Gamilla MCZ, Mahdy ZA. Prevention and Management of Iron Deficiency/Iron-Deficiency Anemia in Women: An Asian Expert Consensus. Nutrients 2023; 15:3125. [PMID: 37513543 PMCID: PMC10383547 DOI: 10.3390/nu15143125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Revised: 06/27/2023] [Accepted: 07/10/2023] [Indexed: 07/30/2023] Open
Abstract
The lack of standardized clinical practice impeding the optimal management of iron deficiency (ID) and iron deficiency anemia (IDA) in women is a global concern, particularly in the Asia-Pacific region. The aim of this study was to determine best practices through a Delphi consensus process. In Round 1, panelists were asked to rate their level of agreement with 99 statements across four domains: identification, diagnosis and assessment, prevention, and treatment of ID/IDA in women. In Round 2, panelists reappraised their ratings in view of the collective feedback and responses to Round 1. After two rounds, consensus (≥85% agreement) was reached for 84% of the Delphi statements. Experts agreed on the role of presenting symptoms and risk factors in prompting assessments of anemia and iron status in women. Experts repeatedly called for prevention, recommending preventive iron supplementation for pregnant women irrespective of anemia prevalence levels, and for non-pregnant adult women, adolescent girls, and perimenopausal women living in areas with a high prevalence of anemia. Experts unanimously agreed to prescribing oral ferrous iron as first-line therapy for uncomplicated ID/IDA. The recommendations and clinical pathway algorithms generated should be used to inform clinical practice and standardize the care of women at risk or presenting with ID/IDA in the Asia-Pacific region.
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Affiliation(s)
- Rishma Dhillon Pai
- Department of Obstetrics and Gynaecology, Lilavati Hospital, Mumbai 400050, India;
| | - Yap Seng Chong
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore;
| | | | - Rima Irwinda
- Fetomaternal Division, Department of Obstetrics and Gynecology, Faculty of Medicine, University of Indonesia—Cipto Mangunkusumo Hospital, Jakarta 10430, Indonesia; (R.I.); (N.W.)
| | - Trang Nguyen Khanh Huynh
- Department of Obstetrics and Gynecology, Pham Ngoc Thach University of Medicine, Ho Chi Minh 700000, Vietnam;
| | - Noroyono Wibowo
- Fetomaternal Division, Department of Obstetrics and Gynecology, Faculty of Medicine, University of Indonesia—Cipto Mangunkusumo Hospital, Jakarta 10430, Indonesia; (R.I.); (N.W.)
| | | | - Zaleha Abdullah Mahdy
- Department of Obstetrics and Gynaecology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia
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28
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Chua JYX, Choolani M, Chee CYI, Chan YH, Lalor JG, Chong YS, Shorey S. Insights of Parents and Parents-To-Be in Using Chatbots to Improve Their Preconception, Pregnancy, and Postpartum Health: A Mixed Studies Review. J Midwifery Womens Health 2023; 68:480-489. [PMID: 36734375 DOI: 10.1111/jmwh.13472] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 12/27/2022] [Accepted: 12/29/2022] [Indexed: 02/04/2023]
Abstract
INTRODUCTION Chatbots, which are also known as conversational or virtual agents, are digital programs that can interact with humans using voice, text, or animation. They have shown promise in providing preconception, pregnancy, and postpartum care. This review aims to consolidate the insights of parents and parents-to-be in using chatbots to improve their preconception, pregnancy, and postpartum health. METHODS Seven electronic databases were searched from their inception dates until April 2022 (PubMed, Embase, CINAHL, PsycINFO, Web of Science, Scopus, and ProQuest Dissertations and Theses Global) for relevant studies. English language primary studies that were conducted on parents or parents-to-be aged ≥18 years old who had undergone interventions involving the use of any type of chatbot were included in this review. The quality of included studies was appraised using the Mixed Methods Appraisal Tool. A convergent qualitative synthesis design for mixed studies reviews was used to synthesize the findings, and results were thematically analyzed. RESULTS Fifteen studies met the inclusion criteria: quantitative (n = 11), qualitative (n = 1), and mixed method (n = 3). Three main themes were identified: (1) welcoming a new health resource, (2) obstacles blocking the way, and (3) moving toward a digital health era. DISCUSSION Parents and parents-to-be appreciated the informational, socioemotional, and psychological support provided by chatbots. Recommendations for technological improvements in the functionality of the chatbots were made that include training sessions for health care providers to familiarize them with this new digital technology. Multidisciplinary chatbot development teams could also be established to develop more comprehensive chatbot-delivered health programs for more diverse populations.
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Affiliation(s)
- Joelle Yan Xin Chua
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Mahesh Choolani
- Department of Obstetrics and Gynaecology, National University Hospital, Singapore
| | | | - Yiong Huak Chan
- Biostatistics Unit, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | | | - Yap Seng Chong
- Department of Obstetrics and Gynaecology, National University Hospital, Singapore
| | - Shefaly Shorey
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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29
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Yan X, Kong R, Xue A, Yang Q, Orban C, An L, Holmes AJ, Qian X, Chen J, Zuo XN, Zhou JH, Fortier MV, Tan AP, Gluckman P, Chong YS, Meaney MJ, Bzdok D, Eickhoff SB, Yeo BTT. Homotopic local-global parcellation of the human cerebral cortex from resting-state functional connectivity. Neuroimage 2023; 273:120010. [PMID: 36918136 PMCID: PMC10212507 DOI: 10.1016/j.neuroimage.2023.120010] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 02/25/2023] [Accepted: 03/08/2023] [Indexed: 03/13/2023] Open
Abstract
Resting-state fMRI is commonly used to derive brain parcellations, which are widely used for dimensionality reduction and interpreting human neuroscience studies. We previously developed a model that integrates local and global approaches for estimating areal-level cortical parcellations. The resulting local-global parcellations are often referred to as the Schaefer parcellations. However, the lack of homotopic correspondence between left and right Schaefer parcels has limited their use for brain lateralization studies. Here, we extend our previous model to derive homotopic areal-level parcellations. Using resting-fMRI and task-fMRI across diverse scanners, acquisition protocols, preprocessing and demographics, we show that the resulting homotopic parcellations are as homogeneous as the Schaefer parcellations, while being more homogeneous than five publicly available parcellations. Furthermore, weaker correlations between homotopic parcels are associated with greater lateralization in resting network organization, as well as lateralization in language and motor task activation. Finally, the homotopic parcellations agree with the boundaries of a number of cortical areas estimated from histology and visuotopic fMRI, while capturing sub-areal (e.g., somatotopic and visuotopic) features. Overall, these results suggest that the homotopic local-global parcellations represent neurobiologically meaningful subdivisions of the human cerebral cortex and will be a useful resource for future studies. Multi-resolution parcellations estimated from 1479 participants are publicly available (https://github.com/ThomasYeoLab/CBIG/tree/master/stable_projects/brain_parcellation/Yan2023_homotopic).
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Affiliation(s)
- Xiaoxuan Yan
- Centre for Sleep and Cognition (CSC) & Centre for Translational Magnetic Resonance Research (TMR), Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Electrical and Computer Engineering, National University of Singapore, Singapore; N.1 Institute for Health and Institute for Digital Medicine (WisDM), National University of Singapore, Singapore; Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore
| | - Ru Kong
- Centre for Sleep and Cognition (CSC) & Centre for Translational Magnetic Resonance Research (TMR), Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Electrical and Computer Engineering, National University of Singapore, Singapore; N.1 Institute for Health and Institute for Digital Medicine (WisDM), National University of Singapore, Singapore
| | - Aihuiping Xue
- Centre for Sleep and Cognition (CSC) & Centre for Translational Magnetic Resonance Research (TMR), Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Electrical and Computer Engineering, National University of Singapore, Singapore; N.1 Institute for Health and Institute for Digital Medicine (WisDM), National University of Singapore, Singapore
| | - Qing Yang
- Centre for Sleep and Cognition (CSC) & Centre for Translational Magnetic Resonance Research (TMR), Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Electrical and Computer Engineering, National University of Singapore, Singapore; N.1 Institute for Health and Institute for Digital Medicine (WisDM), National University of Singapore, Singapore
| | - Csaba Orban
- Centre for Sleep and Cognition (CSC) & Centre for Translational Magnetic Resonance Research (TMR), Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Electrical and Computer Engineering, National University of Singapore, Singapore; N.1 Institute for Health and Institute for Digital Medicine (WisDM), National University of Singapore, Singapore
| | - Lijun An
- Centre for Sleep and Cognition (CSC) & Centre for Translational Magnetic Resonance Research (TMR), Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Electrical and Computer Engineering, National University of Singapore, Singapore; N.1 Institute for Health and Institute for Digital Medicine (WisDM), National University of Singapore, Singapore
| | - Avram J Holmes
- Yale University, Departments of Psychology and Psychiatry, New Haven, CT, Unites States of America
| | - Xing Qian
- Centre for Sleep and Cognition (CSC) & Centre for Translational Magnetic Resonance Research (TMR), Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jianzhong Chen
- Centre for Sleep and Cognition (CSC) & Centre for Translational Magnetic Resonance Research (TMR), Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Electrical and Computer Engineering, National University of Singapore, Singapore; N.1 Institute for Health and Institute for Digital Medicine (WisDM), National University of Singapore, Singapore
| | - Xi-Nian Zuo
- State Key Laboratory of Cognitive Neuroscience and Learning/IDG McGovern Institute for Brain Research, Beijing Normal University, Beijing, China; National Basic Public Science Data Center, China
| | - Juan Helen Zhou
- Centre for Sleep and Cognition (CSC) & Centre for Translational Magnetic Resonance Research (TMR), Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Electrical and Computer Engineering, National University of Singapore, Singapore; Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore
| | - Marielle V Fortier
- Department of Diagnostic and Interventional Imaging, KK Women's and Children's Hospital, Singapore; Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore
| | - Ai Peng Tan
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore; Department of Diagnostic Radiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Peter Gluckman
- UK Centre for Human Evolution, Adaptation and Disease, Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore; Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Michael J Meaney
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore; Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | - Danilo Bzdok
- Department of Biomedical Engineering, Montreal Neurological Institute, McGill University, Montreal, QC, Canada; Mila - Quebec AI Institute, Montreal, QC, Canada
| | - Simon B Eickhoff
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany; Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Center Jülich, Jülich, Germany
| | - B T Thomas Yeo
- Centre for Sleep and Cognition (CSC) & Centre for Translational Magnetic Resonance Research (TMR), Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Electrical and Computer Engineering, National University of Singapore, Singapore; N.1 Institute for Health and Institute for Digital Medicine (WisDM), National University of Singapore, Singapore; Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore; Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, Unites States of America.
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Anant N, Kaur D, Nadarajan R, Phua DY, Chong YS, Gluckman PD, Yap F, Chen H, Broekman B, Meaney MJ, Ang YS. Validating the Children's Depression Inventory-2: Results from the Growing Up in Singapore Towards Healthy Outcomes (GUSTO) study. PLoS One 2023; 18:e0286197. [PMID: 37228057 DOI: 10.1371/journal.pone.0286197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 05/10/2023] [Indexed: 05/27/2023] Open
Abstract
Childhood-onset depression has adverse consequences that are sustained into adulthood, which increases the significance of detection in early childhood. The Children's Depression Inventory (CDI) is used globally in evaluating depressive symptom severity in adolescents, and its second version, the CDI-2, was developed by taking into account advances in childhood depression research. Prior research has reported inconsistencies in its factor structure across populations. In addition, the CDI-2 has not yet been empirically validated with Southeast Asian populations. This study sought to empirically validate the CDI-2's psychometric properties and evaluate its factorial structure with a Singaporean community sample of non-clinical respondents. A total sample of 730 Singaporean children aged between 8.5 and 10.5 years was used. Psychometric properties of the CDI-2, including internal consistency as well as convergent and discriminant validity, were assessed. Factor analyses were conducted to assess the developers' original two-factor structure for a Southeast Asian population. This two-factor structure was not supported in our sample. Instead, the data provided the best fit for a hierarchical two-factor structure with factors namely, socio-emotional problems and cognitive-behavioural problems. This finding suggests that socio-cultural and demographic elements influence interpretation of depressive symptoms and therefore the emerging factor structure of the construct under scrutiny. This study highlights the need to further examine the CDI-2 and ensure that its interpretation is culture-specific. More qualitative work could also bring to light the idiosyncratic understanding of depressive symptomatology, which would then guide culture-specific validation of the CDI-2.
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Affiliation(s)
- Nandini Anant
- Social and Cognitive Computing Department, Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Divjyot Kaur
- School of Health and Social Sciences, James Cook University, Singapore, Singapore
| | - Ranjani Nadarajan
- Translational Neurosciences Division, Singapore Institute of Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, Canada
| | - Desiree Y Phua
- Translational Neurosciences Division, Singapore Institute of Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Yap Seng Chong
- Translational Neurosciences Division, Singapore Institute of Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Peter D Gluckman
- Translational Neurosciences Division, Singapore Institute of Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Centre for Human Evolution, Adaptation and Disease, Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Fabian Yap
- Department of Pediatrics, KK Women's and Children's Hospital, Singapore, Singapore
- Duke-National University of Singapore Medical School, Singapore, Singapore
| | - Helen Chen
- Duke-National University of Singapore Medical School, Singapore, Singapore
- Department of Psychological Medicine, KK Women's and Children's Hospital, Singapore, Singapore
| | - Birit Broekman
- Department of Psychiatry, Amsterdam UMC, Location VU Medical Centre, VU University, Amsterdam, The Netherlands
| | - Michael J Meaney
- Translational Neurosciences Division, Singapore Institute of Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, Canada
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Brain-Body Initiative, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Yuen-Siang Ang
- Social and Cognitive Computing Department, Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Brain-Body Initiative, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
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Chua JYX, Choolani M, Chee CYI, Yi H, Chan YH, Lalor JG, Chong YS, Shorey S. 'Parentbot - A Digital healthcare Assistant (PDA)': A mobile application-based perinatal intervention for parents: Development study. Patient Educ Couns 2023; 114:107805. [PMID: 37245443 DOI: 10.1016/j.pec.2023.107805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 04/23/2023] [Accepted: 05/18/2023] [Indexed: 05/30/2023]
Abstract
OBJECTIVE To describe the development procedure of a mobile application-based parenting support program with integrated chatbot features entitled Parentbot - a Digital healthcare Assistant (PDA) for multi-racial Singaporean parents across the perinatal period. METHODS The PDA development process was guided by the combined information systems research framework with design thinking modes, and Tuckman's model of team development. A user acceptability testing (UAT) process was conducted among 11 adults of child-bearing age. Feedback was obtained using a custom-made evaluation form and the 26-item User Experience Questionnaire. RESULTS The combined information systems research framework with design thinking modes helped researchers to successfully create a PDA prototype based on end-users' needs. Results from the UAT process indicated that the PDA provided participants with an overall positive user experience. Feedback gathered from UAT participants was used to enhance the PDA. CONCLUSION Although the effectiveness of the PDA in improving parental outcomes during the perinatal period is still being evaluated, this paper highlights the key details of developing a mobile application-based parenting intervention which future studies could learn from. PRACTICE IMPLICATIONS Having carefully planned timelines with margins of delays, extra funds to resolve technical issues, team cohesion, and an experienced leader can facilitate intervention development.
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Affiliation(s)
- Joelle Yan Xin Chua
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Mahesh Choolani
- Department of Obstetrics and Gynaecology, National University Hospital, Singapore
| | | | - Huso Yi
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Yiong Huak Chan
- Biostatistics Unit, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | | | - Yap Seng Chong
- Department of Obstetrics and Gynaecology, National University Hospital, Singapore
| | - Shefaly Shorey
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
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32
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Lai JS, Colega MT, Godfrey KM, Tan KH, Yap F, Chong YS, Lee YS, Eriksson JG, Chan SY, Chong MFF. Changes in Diet Quality from Pregnancy to 6 Years Postpregnancy and Associations with Cardiometabolic Risk Markers. Nutrients 2023; 15:1870. [PMID: 37111088 PMCID: PMC10145322 DOI: 10.3390/nu15081870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 04/03/2023] [Accepted: 04/11/2023] [Indexed: 04/29/2023] Open
Abstract
Adopting a healthy diet during and after pregnancy is important for women's cardiometabolic health. We related changes in diet quality from pregnancy to 6 years postpregnancy to cardiometabolic markers 8 years postpregnancy. In 652 women from the GUSTO cohort, we assessed dietary intakes at 26-28 weeks' gestation and 6 years postpregnancy using 24 h recall and a food frequency questionnaire, respectively; diet quality was scored using a modified Healthy Eating Index for Singaporean women. Diet quality quartiles were derived; stable, large/small improvement/decline in diet quality as no change, >1 or 1 quartile increase/decrease. Fasting triglyceride (TG), total-, high- and low-density-lipoprotein cholesterol (TC, HDL- and LDL-C), glucose and insulin were measured 8 years postpregnancy; homeostatic model assessment for insulin resistance (HOMA-IR) and TG: HDL-C ratio were derived. Linear regressions examined changes in diet quality quartiles and cardiometabolic markers. Compared to a stable diet quality, a large improvement was associated with lower postpregnancy TG [-0.17 (-0.32, -0.01) mmol/L], TG: HDL-C ratio [-0.21 (-0.35, -0.07) mmol/L], and HOMA-IR [-0.47 (-0.90, -0.03)]; a large decline was associated with higher postpregnancy TC and LDL-C [0.25 (0.02, 0.49); 0.20 (0.004, 0.40) mmol/L]. Improving or preventing a decline in diet quality postpregnancy may improve lipid profile and insulin resistance.
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Affiliation(s)
- Jun S. Lai
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore 117609, Singapore; (M.T.C.); (Y.S.C.); (J.G.E.); (S.-Y.C.); (M.F.F.C.)
| | - Marjorelee T. Colega
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore 117609, Singapore; (M.T.C.); (Y.S.C.); (J.G.E.); (S.-Y.C.); (M.F.F.C.)
| | - Keith M. Godfrey
- MRC Lifecourse Epidemiology Centre & NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK;
| | - Kok Hian Tan
- Department of Maternal Fetal Medicine, KK Women’s and Children’s Hospital, Singapore 229899, Singapore;
| | - Fabian Yap
- Duke-NUS Medical School, Singapore 169857, Singapore;
- Department of Paediatric Endocrinology, KK Women’s and Children’s Hospital, Singapore 229899, Singapore
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore 117609, Singapore; (M.T.C.); (Y.S.C.); (J.G.E.); (S.-Y.C.); (M.F.F.C.)
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore 119228, Singapore
| | - Yung Seng Lee
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore 119228, Singapore;
| | - Johan G. Eriksson
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore 117609, Singapore; (M.T.C.); (Y.S.C.); (J.G.E.); (S.-Y.C.); (M.F.F.C.)
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore 119228, Singapore
- Finland and Folkhälsan Research Center, University of Helsinki, Helsinki 00014, Finland
| | - Shiao-Yng Chan
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore 117609, Singapore; (M.T.C.); (Y.S.C.); (J.G.E.); (S.-Y.C.); (M.F.F.C.)
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore 119228, Singapore
| | - Mary F. F. Chong
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore 117609, Singapore; (M.T.C.); (Y.S.C.); (J.G.E.); (S.-Y.C.); (M.F.F.C.)
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore
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Huang P, Chan SY, Ngoh ZM, Nadarajan R, Chong YS, Gluckman PD, Chen H, Fortier MV, Tan AP, Meaney MJ. Functional connectivity analysis of childhood depressive symptoms. Neuroimage Clin 2023; 38:103395. [PMID: 37031637 PMCID: PMC10120398 DOI: 10.1016/j.nicl.2023.103395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Revised: 03/26/2023] [Accepted: 03/27/2023] [Indexed: 04/09/2023]
Abstract
BACKGROUND Childhood depression is a highly distinct and prevalent condition with an unknown neurobiological basis. We wish to explore the resting state fMRI data in children for potential associations between neural connectivity and childhood depressive symptoms. METHODS A longitudinal birth cohort study with neuroimaging data obtained at 4.5, 6.0 and 7.5 years of age and the Children Depression Inventory 2 (CDI) administered between 8.5 and 10.5 years was used. The CDI score was used as the dependent variable and tested for correlation, both simple Pearson and network based statistic, with the functional connectivity values obtained from the resting state fMRI. Cross-validated permutation testing with a general linear model was used to validate that the identified functional connections were indeed implicated in childhood depression. RESULTS Ten functional connections and four brain regions (Somatomotor Area B, Temporoparietal Junction, Orbitofrontal Cortex and Insula) were identified as significantly associated with childhood depressive symptoms for girls at 6.0 and 7.5 years. No significant functional connections were found in girls at 4.5 years or for boys at any timepoint. Network based statistic and permutation testing confirmed these findings. CONCLUSIONS This study revealed significant sex-dependent associations of neural connectivity and childhood depressive symptoms. The regions identified are implicated in speech/language, social cognition and information integration and suggest unique pathways to childhood depressive symptoms.
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Affiliation(s)
- Pei Huang
- Singapore Institute for Clinical Sciences, Agency for Science and Technology, Singapore.
| | - Shi Yu Chan
- Singapore Institute for Clinical Sciences, Agency for Science and Technology, Singapore
| | - Zhen Ming Ngoh
- Singapore Institute for Clinical Sciences, Agency for Science and Technology, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Ranjani Nadarajan
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science and Technology, Singapore; Department of Obstetrics & Gynaecology, National University Hospital Singapore, Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science and Technology, Singapore; Centre for Human Evolution, Adaptation and Disease, Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Helen Chen
- Department of Psychological Medicine, KK Women's and Children's Hospital, Singapore; Duke-National University of Singapore, Singapore
| | - Marielle V Fortier
- Singapore Institute for Clinical Sciences, Agency for Science and Technology, Singapore; Department of Diagnostic and Interventional Radiology, KK Women's and Children's Hospital, Singapore
| | - Ai Peng Tan
- Singapore Institute for Clinical Sciences, Agency for Science and Technology, Singapore; Department of Diagnostic Imaging, National University Hospital Singapore, Singapore
| | - Michael J Meaney
- Singapore Institute for Clinical Sciences, Agency for Science and Technology, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada; Brain - Body Initiative, Agency for Science and Technology, Singapore
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Li LJ, Wang X, Chong YS, Chan JKY, Tan KH, Eriksson JG, Huang Z, Rahman ML, Cui L, Zhang C. Exploring preconception signatures of metabolites in mothers with gestational diabetes mellitus using a non-targeted approach. BMC Med 2023; 21:99. [PMID: 36927416 PMCID: PMC10022116 DOI: 10.1186/s12916-023-02819-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 03/06/2023] [Indexed: 03/18/2023] Open
Abstract
BACKGROUND Metabolomic changes during pregnancy have been suggested to underlie the etiology of gestational diabetes mellitus (GDM). However, research on metabolites during preconception is lacking. Therefore, this study aimed to investigate distinctive metabolites during the preconception phase between GDM and non-GDM controls in a nested case-control study in Singapore. METHODS Within a Singapore preconception cohort, we included 33 Chinese pregnant women diagnosed with GDM according to the IADPSG criteria between 24 and 28 weeks of gestation. We then matched them with 33 non-GDM Chinese women by age and pre-pregnancy body mass index (ppBMI) within the same cohort. We performed a non-targeted metabolomics approach using fasting serum samples collected within 12 months prior to conception. We used generalized linear mixed model to identify metabolites associated with GDM at preconception after adjusting for maternal age and ppBMI. After annotation and multiple testing, we explored the additional predictive value of novel signatures of preconception metabolites in terms of GDM diagnosis. RESULTS A total of 57 metabolites were significantly associated with GDM, and eight phosphatidylethanolamines were annotated using HMDB. After multiple testing corrections and sensitivity analysis, phosphatidylethanolamines 36:4 (mean difference β: 0.07; 95% CI: 0.02, 0.11) and 38:6 (β: 0.06; 0.004, 0.11) remained significantly higher in GDM subjects, compared with non-GDM controls. With all preconception signals of phosphatidylethanolamines in addition to traditional risk factors (e.g., maternal age and ppBMI), the predictive value measured by area under the curve (AUC) increased from 0.620 to 0.843. CONCLUSIONS Our data identified distinctive signatures of GDM-associated preconception phosphatidylethanolamines, which is of potential value to understand the etiology of GDM as early as in the preconception phase. Future studies with larger sample sizes among alternative populations are warranted to validate the associations of these signatures of metabolites and their predictive value in GDM.
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Affiliation(s)
- Ling-Jun Li
- Global Centre for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
| | - Ximeng Wang
- Global Health Research Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China
| | - Yap Seng Chong
- Global Centre for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Jerry Kok Yen Chan
- Duke-NUS Medical School, Singapore, Singapore
- KK Women's and Children's Hospital, Singapore, Singapore
| | - Kok Hian Tan
- Duke-NUS Medical School, Singapore, Singapore
- KK Women's and Children's Hospital, Singapore, Singapore
| | - Johan G Eriksson
- Global Centre for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
- Agency for Science, Technology and Research (A*STAR), Singapore Institute for Clinical Sciences (SICS), Singapore, Singapore
| | - Zhongwei Huang
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Institute of Molecular and Cell Biology, Agency of Science, Technology and Research, Singapore, Singapore
| | - Mohammad L Rahman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Liang Cui
- Antimicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore
| | - Cuilin Zhang
- Global Centre for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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Law EC, Han MX, Lai Z, Lim S, Ong ZY, Ng V, Gabard-Durnam LJ, Wilkinson CL, Levin AR, Rifkin-Graboi A, Daniel LM, Gluckman PD, Chong YS, Meaney MJ, Nelson CA. Associations Between Infant Screen Use, Electroencephalography Markers, and Cognitive Outcomes. JAMA Pediatr 2023; 177:311-318. [PMID: 36716016 PMCID: PMC9887532 DOI: 10.1001/jamapediatrics.2022.5674] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 11/16/2022] [Indexed: 01/31/2023]
Abstract
Importance Research evidence is mounting for the association between infant screen use and negative cognitive outcomes related to attention and executive functions. The nature, timing, and persistence of screen time exposure on neural functions are currently unknown. Electroencephalography (EEG) permits elucidation of the neural correlates associated with cognitive impairments. Objective To examine the associations between infant screen time, EEG markers, and school-age cognitive outcomes using mediation analysis with structural equation modeling. Design, Setting, and Participants This prospective maternal-child dyad cohort study included participants from the population-based study Growing Up in Singapore Toward Healthy Outcomes (GUSTO). Pregnant mothers were enrolled in their first trimester from June 2009 through December 2010. A subset of children who completed neurodevelopmental visits at ages 12 months and 9 years had EEG performed at age 18 months. Data were reported from 3 time points at ages 12 months, 18 months, and 9 years. Mediation analyses were used to investigate how neural correlates were involved in the paths from infant screen time to the latent construct of attention and executive functioning. Data for this study were collected from November 2010 to March 2020 and were analyzed between October 2021 and May 2022. Exposures Parent-reported screen time at age 12 months. Main Outcomes and Measures Power spectral density from EEG was collected at age 18 months. Child attention and executive functions were measured with teacher-reported questionnaires and objective laboratory-based tasks at age 9 years. Results In this sample of 437 children, the mean (SD) age at follow-up was 8.84 (0.07) years, and 227 children (51.9%) were male. The mean (SD) amount of daily screen time at age 12 months was 2.01 (1.86) hours. Screen time at age 12 months contributed to multiple 9-year attention and executive functioning measures (η2, 0.03-0.16; Cohen d, 0.35-0.87). A subset of 157 children had EEG performed at age 18 months; EEG relative theta power and theta/beta ratio at the frontocentral and parietal regions showed a graded correlation with 12-month screen use (r = 0.35-0.37). In the structural equation model accounting for household income, frontocentral and parietal theta/beta ratios partially mediated the association between infant screen time and executive functioning at school age (exposure-mediator β, 0.41; 95% CI, 0.22 to 0.59; mediator-outcome β, -0.38; 95% CI, -0.64 to -0.11), forming an indirect path that accounted for 39.4% of the association. Conclusions and Relevance In this study, infant screen use was associated with altered cortical EEG activity before age 2 years; the identified EEG markers mediated the association between infant screen time and executive functions. Further efforts are urgently needed to distinguish the direct association of infant screen use compared with family factors that predispose early screen use on executive function impairments.
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Affiliation(s)
- Evelyn C. Law
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Khoo Teck Puat–National University Children’s Medical Institute, National University Health System, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
| | - Meredith X. Han
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Zhuoyuan Lai
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
| | - Shuping Lim
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Zi Yan Ong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
| | - Valerie Ng
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
| | - Laurel J. Gabard-Durnam
- Center for Cognitive and Brain Health, Northeastern University, Boston, Massachusetts
- Division of Developmental Medicine, Boston Children’s Hospital, Boston, Massachusetts
| | - Carol L. Wilkinson
- Division of Developmental Medicine, Boston Children’s Hospital, Boston, Massachusetts
| | - April R. Levin
- Division of Developmental Medicine, Boston Children’s Hospital, Boston, Massachusetts
- Division of Neurology, Boston Children’s Hospital, Boston, Massachusetts
| | - Anne Rifkin-Graboi
- Centre for Research in Child Development, National Institute of Education, Singapore
| | - L. Mary Daniel
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Child Development, KK Women’s and Children’s Hospital, Singapore
- Academic Medicine Department, Duke-NUS Medical School, Singapore
| | - Peter D. Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
- Liggins Institute, University of Auckland, Grafton, Auckland, New Zealand
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
- Department of Obstetrics and Gynaecology, National University Health System and Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Michael J. Meaney
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
- Ludmer Centre for Neuroinformatics and Mental Health, Department of Psychiatry, McGill University, Montreal, Quebec, Canada
- McGill University and Douglas Mental Health University Research Centre, Montreal, Quebec, Canada
| | - Charles A. Nelson
- Division of Developmental Medicine, Boston Children’s Hospital, Boston, Massachusetts
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
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36
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Uy JP, Tan AP, Broeckman BBFP, Gluckman PD, Chong YS, Chen H, Fortier MV, Meaney MJ, Callaghan BL. Effects of maternal childhood trauma on child emotional health: maternal mental health and frontoamygdala pathways. J Child Psychol Psychiatry 2023; 64:426-436. [PMID: 36331294 DOI: 10.1111/jcpp.13721] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/11/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Experiences of early life adversity pose significant psychological and physical health risks to exposed individuals. Emerging evidence suggests that these health risks can be transmitted across generations; however, the mechanisms underlying the intergenerational impacts of maternal early-life trauma on child health remain unknown. METHODS The current study used a prospective longitudinal design to determine the unique and joint contributions of maternal childhood trauma (neglect and abuse) and maternal prenatal and postnatal mental health (anxiety and depressive symptoms) (N = 541) to children's resting frontoamygdala functional connectivity at 6 years (N = 89) and emotional health at 7-8 years, as indexed by parent-reported internalizing problems and child self-reported anxiety and depressive symptoms (N = 268-418). RESULTS Greater maternal childhood neglect was indirectly associated with greater internalizing problems serially through a pathway of worse maternal prenatal and postnatal mental health (greater maternal anxiety and depressive symptoms). Worse maternal postnatal mental health was also uniquely associated with more negative child frontoamygdala resting-state functional connectivity, over and above maternal childhood trauma (both neglect and abuse) and prenatal mental health. More negative frontoamygdala functional connectivity was, in turn, associated with poorer child emotional health outcomes. CONCLUSIONS Findings from the current study provide support for the existence of intergenerational influences of parental exposure to childhood trauma on childhood risk for psychopathology in the next generation and point to the importance of maternal factors proximal to the second generation (maternal prenatal and postnatal mental health) in determining the intergenerational impact of maternal early experiences.
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Affiliation(s)
- Jessica P Uy
- Department of Psychology, University of California Los Angeles, Los Angeles, California, USA
| | - Ai Peng Tan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research in Singapore, Singapore City, Singapore
| | - Birit B F P Broeckman
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research in Singapore, Singapore City, Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research in Singapore, Singapore City, Singapore.,Liggins Institute, University of Auckland, Grafton, Auckland, New Zealand
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research in Singapore, Singapore City, Singapore.,Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore City, Singapore.,Department of Obstetrics and Gynaecology, National University Health System, Singapore City, Singapore
| | - Helen Chen
- Psychiatry and Radiology, KK Women's and Children's Hospital, Singapore City, Singapore
| | - Marielle V Fortier
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research in Singapore, Singapore City, Singapore
| | - Michael J Meaney
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research in Singapore, Singapore City, Singapore.,Liggins Institute, University of Auckland, Grafton, Auckland, New Zealand.,Department of Psychiatry, Douglas Hospital Research Centre, McGill University, Montreal, Quebec, Canada
| | - Bridget L Callaghan
- Department of Psychology, University of California Los Angeles, Los Angeles, California, USA
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37
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Shih CC, Chen J, Lee AS, Bertin N, Hebrard M, Khor CC, Li Z, Tan JHJ, Meah WY, Peh SQ, Mok SQ, Sim KS, Liu J, Wang L, Wong E, Li J, Tin A, Cheng CY, Heng CK, Yuan JM, Koh WP, Saw SM, Friedlander Y, Sim X, Chai JF, Chong YS, Davila S, Goh LL, Lee ES, Wong TY, Karnani N, Leong KP, Yeo KK, Chambers JC, Lim SC, Goh RSM, Tan P, Dorajoo R. A Five-safes approach to a secure and scalable genomics data repository. iScience 2023; 26:106546. [PMID: 37123247 PMCID: PMC10139958 DOI: 10.1016/j.isci.2023.106546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 01/03/2023] [Accepted: 03/28/2023] [Indexed: 04/03/2023] Open
Abstract
Genomic researchers increasingly utilize commercial cloud service providers (CSPs) to manage data and analytics needs. CSPs allow researchers to grow Information Technology (IT) infrastructure on demand to overcome bottlenecks when combining large datasets. However, without adequate security controls, the risk of unauthorized access may be higher for data stored on the cloud. Additionally, regulators are mandating data access patterns and specific security protocols for the storage and use of genomic data. While CSP provides tools for security and regulatory compliance, building the necessary controls required for cloud solutions is not trivial. Research Assets Provisioning and Tracking Online Repository (RAPTOR) by the Genome Institute of Singapore is a cloud-native genomics data repository and analytics platform that implements a "five-safes" framework to provide security and governance controls to data contributors and users, leveraging CSP for sharing and analysis of genomic datasets without the risk of security breaches or running afoul of regulations.
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38
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Shorey S, Chong YS, Shi L, Chua JS, Mathews J, Lim SH, Du R, Chan YH, Tan TC, Chee C, Law E. Evaluating the Effects of the Supportive Parenting App on Infant Developmental Outcomes: Longitudinal Study. JMIR Mhealth Uhealth 2023; 11:e43885. [PMID: 36811952 PMCID: PMC9996416 DOI: 10.2196/43885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 12/04/2022] [Accepted: 01/12/2023] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Previous studies have investigated the various effects of parenting on infant developmental outcomes. In particular, parental stress and social support have been found to significantly affect the growth of the newborn. Although many parents today use mobile apps to obtain more support in parenting and perinatal care, few studies have examined how these apps could affect infant development. OBJECTIVE This study aimed to examine the effectiveness of the Supportive Parenting App (SPA) in improving infant developmental outcomes during the perinatal period. METHODS This study adopted a 2-group parallel prospective longitudinal design and recruited 200 infants and their parents (N=400 mothers and fathers). The parents were recruited at 24 weeks of gestation for a randomized controlled trial conducted from February 2020 to July 2022. They were randomly allocated to either the intervention or control group. The infant outcome measures included cognition, language, motor skills, and social-emotional development. Data were collected from the infants when they were aged 2, 4, 6, 9, and 12 months. Linear and modified Poisson regressions were used to analyze the data to examine between- and within-group changes. RESULTS At 9 and 12 months post partum, the infants in the intervention group were found to have better communication and language skills than those in the control group. An analysis of motor development revealed that a larger proportion of the infants in the control group fell under the at-risk category, where they scored approximately 2 SDs below the normative scores. The control group infants scored higher on the problem solving domain at 6 months post partum. However, at 12 months postpartum, the infants in the intervention group performed better on cognitive tasks than those in the control group. Despite not being statistically significant, the intervention group infants were found to have consistently scored better on the social components of the questionnaires than the control group infants. CONCLUSIONS Overall, the infants whose parents had received the SPA intervention tended to fare better in most developmental outcome measures than those whose parents had received standard care only. The findings of this study suggest that the SPA intervention exerted positive effects on the communication, cognition, motor, and socioemotional development of the infants. Further research is needed to improve the content and support provided by the intervention to maximize the benefits gained by infants and their parents. TRIAL REGISTRATION ClinicalTrials.gov NCT04706442; https://clinicaltrials.gov/ct2/show/NCT04706442.
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Affiliation(s)
- Shefaly Shorey
- Alice Lee Centre for Nursing Studies, National University of Singapore, Singapore, Singapore
| | - Yap Seng Chong
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Luming Shi
- Singapore Clinical Research Institute, Singapore, Singapore
| | - Jing Shi Chua
- Alice Lee Centre for Nursing Studies, National University of Singapore, Singapore, Singapore
| | -
- Division of Nursing, KK Women's and Children's Hospital, Singapore, Singapore
| | - Jancy Mathews
- National University Polyclinics, Singapore, Singapore
| | | | - Ruochen Du
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yiong Huak Chan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Thiam Chye Tan
- Mount Elizabeth Novena Specialist Centre, Singapore, Singapore
| | | | - Evelyn Law
- National University Hospital, Singapore, Singapore
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Valderas JM, Stavdal A, Hanson K, Teo YY, Chong YS, Wong JEL, Legido-Quigley H. Cautionary tales from the UK for the health reform in Singapore. Lancet 2023; 401:556. [PMID: 36803432 DOI: 10.1016/s0140-6736(23)00099-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Accepted: 12/22/2022] [Indexed: 02/18/2023]
Affiliation(s)
- Jose M Valderas
- Centre for Research in Health Systems Performance, Department of Family Medicine, National University of Singapore, Singapore 119077; Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077; World Organization of Family Doctors, Brussels, Belgium.
| | - Anna Stavdal
- World Organization of Family Doctors, Brussels, Belgium
| | - Kara Hanson
- Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, UK
| | - Yik Ying Teo
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 119077
| | - Yap Seng Chong
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077; Department of Obstetrics and Gynaecology, National University of Singapore, Singapore 119077
| | - John E L Wong
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077; Department of Medicine, National University of Singapore, Singapore 119077
| | - Helena Legido-Quigley
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 119077; Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, UK
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40
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Chen L, Mir SA, Bendt AK, Chua EWL, Narasimhan K, Tan KML, Loy SL, Tan KH, Shek LP, Chan J, Yap F, Meaney MJ, Chan SY, Chong YS, Gluckman PD, Eriksson JG, Karnani N, Wenk MR. Plasma lipidomic profiling reveals metabolic adaptations to pregnancy and signatures of cardiometabolic risk: a preconception and longitudinal cohort study. BMC Med 2023; 21:53. [PMID: 36782297 PMCID: PMC9926745 DOI: 10.1186/s12916-023-02740-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 01/17/2023] [Indexed: 02/15/2023] Open
Abstract
BACKGROUND Adaptations in lipid metabolism are essential to meet the physiological demands of pregnancy and any aberration may result in adverse outcomes for both mother and offspring. However, there is a lack of population-level studies to define the longitudinal changes of maternal circulating lipids from preconception to postpartum in relation to cardiometabolic risk factors. METHODS LC-MS/MS-based quantification of 689 lipid species was performed on 1595 plasma samples collected at three time points in a preconception and longitudinal cohort, Singapore PREconception Study of long-Term maternal and child Outcomes (S-PRESTO). We mapped maternal plasma lipidomic profiles at preconception (N = 976), 26-28 weeks' pregnancy (N = 337) and 3 months postpartum (N = 282) to study longitudinal lipid changes and their associations with cardiometabolic risk factors including pre-pregnancy body mass index, body weight changes and glycaemic traits. RESULTS Around 56% of the lipids increased and 24% decreased in concentration in pregnancy before returning to the preconception concentration at postpartum, whereas around 11% of the lipids went through significant changes in pregnancy and their concentrations did not revert to the preconception concentrations. We observed a significant association of body weight changes with lipid changes across different physiological states, and lower circulating concentrations of phospholipids and sphingomyelins in pregnant mothers with higher pre-pregnancy BMI. Fasting plasma glucose and glycated haemoglobin (HbA1c) concentrations were lower whereas the homeostatic model assessment of insulin resistance (HOMA-IR), 2-h post-load glucose and fasting insulin concentrations were higher in pregnancy as compared to both preconception and postpartum. Association studies of lipidomic profiles with these glycaemic traits revealed their respective lipid signatures at three physiological states. Assessment of glycaemic traits in relation to the circulating lipids at preconception with a large sample size (n = 936) provided an integrated view of the effects of hyperglycaemia on plasma lipidomic profiles. We observed a distinct relationship of lipidomic profiles with different measures, with the highest percentage of significant lipids associated with HOMA-IR (58.9%), followed by fasting insulin concentration (56.9%), 2-h post-load glucose concentration (41.8%), HbA1c (36.7%), impaired glucose tolerance status (31.6%) and fasting glucose concentration (30.8%). CONCLUSIONS We describe the longitudinal landscape of maternal circulating lipids from preconception to postpartum, and a comprehensive view of trends and magnitude of pregnancy-induced changes in lipidomic profiles. We identified lipid signatures linked with cardiometabolic risk traits with potential implications both in pregnancy and postpartum life. Our findings provide insights into the metabolic adaptations and potential biomarkers of modifiable risk factors in childbearing women that may help in better assessment of cardiometabolic health, and early intervention at the preconception period. TRIAL REGISTRATION ClinicalTrials.gov, NCT03531658.
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Affiliation(s)
- Li Chen
- Singapore Institute for Clinical Sciences, A*STAR, Singapore, Singapore. .,Singapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, Singapore.
| | - Sartaj Ahmad Mir
- Singapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, Singapore. .,Department of Biochemistry, Yong Loo Lin School of Medicine , National University of Singapore, Singapore, Singapore.
| | - Anne K Bendt
- Singapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, Singapore
| | - Esther W L Chua
- Singapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, Singapore
| | | | | | - See Ling Loy
- KK Women's and Children's Hospital, Singapore, Singapore.,Duke-NUS Medical School, Singapore, Singapore
| | - Kok Hian Tan
- KK Women's and Children's Hospital, Singapore, Singapore.,Duke-NUS Medical School, Singapore, Singapore
| | - Lynette P Shek
- Singapore Institute for Clinical Sciences, A*STAR, Singapore, Singapore.,Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Jerry Chan
- KK Women's and Children's Hospital, Singapore, Singapore.,Duke-NUS Medical School, Singapore, Singapore
| | - Fabian Yap
- KK Women's and Children's Hospital, Singapore, Singapore.,Duke-NUS Medical School, Singapore, Singapore.,Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Michael J Meaney
- Singapore Institute for Clinical Sciences, A*STAR, Singapore, Singapore.,Sackler Program for Epigenetics & Psychobiology at McGill University, Montréal, Canada.,Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montréal, Canada
| | - Shiao-Yng Chan
- Singapore Institute for Clinical Sciences, A*STAR, Singapore, Singapore.,Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences, A*STAR, Singapore, Singapore.,Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, A*STAR, Singapore, Singapore.,Centre for Human Evolution, Adaptation and Disease, Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Johan G Eriksson
- Singapore Institute for Clinical Sciences, A*STAR, Singapore, Singapore.,Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Folkhalsan Research Center, Helsinki, Finland.,Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
| | - Neerja Karnani
- Singapore Institute for Clinical Sciences, A*STAR, Singapore, Singapore.,Department of Biochemistry, Yong Loo Lin School of Medicine , National University of Singapore, Singapore, Singapore.,Bioniformatics Institute, A*STAR, Singapore, Singapore
| | - Markus R Wenk
- Singapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, Singapore. .,Department of Biochemistry, Yong Loo Lin School of Medicine , National University of Singapore, Singapore, Singapore.
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41
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Choa ZX, Yap GC, Du R, Loo EXL, Goh AEN, Teoh OH, Van Bever HPS, Shek LPC, Lee BW, Tan KH, Godfrey KM, Eriksson JG, Chong YS, Chan SY, Tham EH. Gestational onset diabetes mellitus does not impact infant allergic outcomes. Pediatr Allergy Immunol 2023; 34:e13920. [PMID: 36825746 DOI: 10.1111/pai.13920] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 01/19/2023] [Accepted: 01/31/2023] [Indexed: 02/17/2023]
Affiliation(s)
- Zhao Xiang Choa
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore City, Singapore
| | - Gaik Chin Yap
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore City, Singapore
| | - Ruochen Du
- Biostatistics Unit, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore City, Singapore
| | - Evelyn Xiu Ling Loo
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore City, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore
- Human Potential Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore City, Singapore
| | - Anne Eng Neo Goh
- Allergy Service, Department of Paediatrics, KK Women's and Children's Hospital (KKH), Singapore City, Singapore
| | - Oon Hoe Teoh
- Respiratory Service, Department of Paediatrics, KK Women's and Children's Hospital (KKH), Singapore City, Singapore
| | - Hugo P S Van Bever
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore City, Singapore
- Khoo Teck Puat-National University Children's Medical Institute, National University Health System (NUHS), Singapore City, Singapore
| | - Lynette Pei-Chi Shek
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore City, Singapore
- Khoo Teck Puat-National University Children's Medical Institute, National University Health System (NUHS), Singapore City, Singapore
| | - Bee Wah Lee
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore City, Singapore
| | - Kok Hian Tan
- Department of Maternal Fetal Medicine, KK Women's and Children's Hospital (KKH), Singapore City, Singapore
| | - Keith M Godfrey
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Medical Research Council Lifecourse Epidemiology Centre, Southampton, UK
| | - Johan Gunnar Eriksson
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore
- Human Potential Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore City, Singapore
- Folkhälsan Research Center, Helsinki, Finland
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore City, Singapore
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore
- Human Potential Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore City, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore City, Singapore
| | - Shiao Yng Chan
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore
- Human Potential Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore City, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore City, Singapore
| | - Elizabeth Huiwen Tham
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore City, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore
- Human Potential Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore City, Singapore
- Khoo Teck Puat-National University Children's Medical Institute, National University Health System (NUHS), Singapore City, Singapore
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42
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Kukafka R, Law E, Mathews J, Lim SH, Shi L, Chua JS, Du R, Chan YH, Tan TC, Chee C, Chong YS. Evaluating the Effectiveness of the Supportive Parenting App on Parental Outcomes: Randomized Controlled Trial. J Med Internet Res 2023; 25:e41859. [PMID: 36645699 PMCID: PMC9887516 DOI: 10.2196/41859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 11/21/2022] [Accepted: 11/30/2022] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND Adjusting to new or additional parenting responsibilities increases stress and affects parental well-being. Existing research has highlighted both parents' desire to receive more support. It has also been found that receiving sufficient social support enhances parenting outcomes. With the increasing popularity of mobile health apps, a Supportive Parenting App (SPA) intervention was developed to fulfill the support needs of parents during the perinatal period. OBJECTIVE This study aimed to examine the effectiveness of the SPA on parental outcomes during the perinatal period. METHODS A 2-group pretest and repeated posttest randomized controlled trial was conducted wherein 200 couples (N=400 mothers and fathers) were recruited from 2 public health care institutions in Singapore. Parents were randomly assigned to intervention (100/200, 50%) or control (100/200, 50%) groups. The SPA intervention consisted of a mobile app-based psychoeducation and peer support program to support parents from pregnancy to 6 months post partum. The outcome measures included postnatal depression, anxiety, parental bonding, parental self-efficacy, perceived social support, and parenting satisfaction. Data were collected at baseline (at >24 weeks of gestation-age of viability in Singapore) and at the first, second, fourth, sixth, ninth, and 12th month post partum. Linear mixed models were used to compare parental outcomes between the groups, and a linear mixed model for repeated measures was used to examine within-group changes. RESULTS Parents in the intervention group mostly showed better outcomes compared with those in the control group. Parents in the intervention group had higher perceived social support than those in the control group at the first (effect size=1.59, 95% CI 0.38-2.80; Cohen standardized effect size=1.31; P=.01), second (effect size=1.98, 95% CI 1.09-2.88; Cohen standardized effect size=2.21; P=.003), and fourth (effect size=2.57, 95% CI 1.62-3.51; Cohen standardized effect size=2.72; P=.048) months post partum. However, parents in the intervention group showed significantly poorer parental bonding (effect size=1.67, 95% CI 0.24-3.11; Cohen standardized effect size=1.16; P=.02). The other parental outcomes did not differ significantly between groups. The scores of mothers and fathers also differed significantly for all outcomes except parental self-efficacy. CONCLUSIONS Parents in the intervention group generally fared better, especially regarding perceived social support. However, the lack of statistical significance in most outcomes showed the limited effectiveness of the SPA intervention, which may be because of the COVID-19 pandemic. Parental differences in outcome scores suggest that mothers and fathers have different support needs; therefore, interventions should be tailored accordingly. Further improvements and evaluations are needed to examine the effectiveness of the SPA intervention in enhancing parental outcomes. Despite statistically insignificant results, limitations should be considered to further improve mobile health app-based interventions such as SPA, as they could serve as reliable and convenient sources of support for parents. TRIAL REGISTRATION Clinicaltrails.gov NCT4706442; https://clinicaltrials.gov/ct2/show/NCT04706442.
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Affiliation(s)
| | - Evelyn Law
- National University Hospital, Singapore, Singapore
| | -
- Division of Nursing, KK Women's and Children's Hospital, Singapore, Singapore
| | - Jancy Mathews
- National University Polyclinics, Corporate Office, Singapore, Singapore
| | | | - Luming Shi
- Singapore Clinical Research Institute, Singapore, Singapore
| | - Jing Shi Chua
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Ruochen Du
- Biostatistics Unit, Yong Loo Lin School of Medicine, Singapore, Singapore
| | | | - Thiam Chye Tan
- Mount Elizabeth Novena Specialist Centre, Singapore, Singapore
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43
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Lai JS, Yuan WL, Ong CN, Tan KH, Yap F, Chong YS, Gluckman PD, Godfrey KM, Lee YS, Chan JKY, Chan SY, Chong MFF. Perinatal plasma carotenoid and vitamin E concentrations with maternal blood pressure during and after pregnancy. Nutr Metab Cardiovasc Dis 2022; 32:2811-2821. [PMID: 36184364 DOI: 10.1016/j.numecd.2022.07.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 07/22/2022] [Accepted: 07/22/2022] [Indexed: 11/18/2022]
Abstract
BACKGROUND AND AIMS Few studies examined the influence of carotenoids and vitamin E on blood pressure or hypertension during and after pregnancy. We related perinatal plasma concentrations of carotenoids and vitamin E (in individual forms and in combination) to blood pressure and hypertension at late pregnancy and 4 years post-pregnancy. METHODS AND RESULTS In 684 women of the Growing Up in Singapore Towards Healthy Outcomes cohort, we quantified plasma carotenoids and vitamin E concentrations at delivery. Systolic blood pressure and diastolic blood pressure (SBP and DBP) around 37-39 weeks' gestation were extracted from obstetric records and measured at 4 years post-pregnancy. Principal component analysis derived patterns of carotenoids (CP) and vitamin E. Associations were examined using linear or logistic regressions adjusting for confounders. Two carotenoids (CP1: α-carotene, β-carotene, and lutein; CP2: zeaxanthin, lycopene, and β-cryptoxanthin) and one vitamin E (γ-, δ-, and α-tocopherols) patterns were derived. CP1 (1SD score increment) was associated with lower SBP and DBP [β (95% CI): -2.36 (-3.47, -1.26) and -1.37 (-2.21, -0.53) mmHg] at late pregnancy> and 4 years post-pregnancy [-1.45 (-2.72, -0.18) and -0.99 (-1.98, -0.01) mmHg]. Higher β-cryptoxanthin concentrations were associated with lower SBP and DBP [-1.50 (-2.49, -0.51) and -1.20 (-1.95, -0.46) mmHg] at late pregnancy. Individual vitamin E and their pattern were not associated with blood pressure or hypertension. CONCLUSION Higher perinatal α-carotene, β-carotene, and lutein concentrations are associated with lower blood pressure in women at late pregnancy and post-pregnancy. Foods rich in these carotenoids, such as red-, orange-, and dark-green-colored vegetables, might be beneficial for blood pressure during and after pregnancy.
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Affiliation(s)
- Jun S Lai
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore.
| | - Wen Lun Yuan
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore; Université de Paris, CRESS, Inserm, INRAE, F-75004 Paris, France
| | - Choon Nam Ong
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Kok Hian Tan
- Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore
| | - Fabian Yap
- Department of Paediatric Endocrinology, KK Women's and Children's Hospital, Singapore; Duke-NUS Medical School, Singapore
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore; Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore; Liggins Institute, University of Auckland, New Zealand
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Unit & NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS Foundation Trust, UK
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore; Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
| | - Jerry K Y Chan
- Duke-NUS Medical School, Singapore; Department of Reproductive Medicine, KK Women's and Children's Hospital, Singapore
| | - Shiao-Yng Chan
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore; Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore
| | - Mary F F Chong
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
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44
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Chan SH, Bylstra Y, Teo JX, Kuan JL, Bertin N, Gonzalez-Porta M, Hebrard M, Tirado-Magallanes R, Tan JHJ, Jeyakani J, Li Z, Chai JF, Chong YS, Davila S, Goh LL, Lee ES, Wong E, Wong TY, Prabhakar S, Liu J, Cheng CY, Eisenhaber B, Karnani N, Leong KP, Sim X, Yeo KK, Chambers JC, Tai ES, Tan P, Jamuar SS, Ngeow J, Lim WK, Gluckman PD, Goh DLM, Jain K, Kam S, Kassam I, Lakshmanan LN, Lee CG, Lee J, Lee SC, Lee YS, Li H, Lim CW, Lim TH, Loh M, Maurer-Stroh S, Mina TH, Mok SQ, Ng HK, Pua CJ, Riboli E, Rim TH, Sabanayagam C, Sim WC, Subramaniam T, Tan ES, Tan EK, Tantoso E, Tay D, Teo YY, Tham YC, Toh LXG, Tsai PK, van Dam RM, Veeravalli L, Khin-lin GW, Wilm A, Yang C, Yap F, Yew YW, Prabhakar S, Liu J, Cheng CY, Eisenhaber B, Karnani N, Leong KP, Sim X, Yeo KK, Chambers JC, Tai ES, Tan P, Jamuar SS, Ngeow J, Lim WK. Analysis of clinically relevant variants from ancestrally diverse Asian genomes. Nat Commun 2022; 13:6694. [PMID: 36335097 PMCID: PMC9637116 DOI: 10.1038/s41467-022-34116-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 10/12/2022] [Indexed: 11/06/2022] Open
Abstract
Asian populations are under-represented in human genomics research. Here, we characterize clinically significant genetic variation in 9051 genomes representing East Asian, South Asian, and severely under-represented Austronesian-speaking Southeast Asian ancestries. We observe disparate genetic risk burden attributable to ancestry-specific recurrent variants and identify individuals with variants specific to ancestries discordant to their self-reported ethnicity, mostly due to cryptic admixture. About 27% of severe recessive disorder genes with appreciable carrier frequencies in Asians are missed by carrier screening panels, and we estimate 0.5% Asian couples at-risk of having an affected child. Prevalence of medically-actionable variant carriers is 3.4% and a further 1.6% harbour variants with potential for pathogenic classification upon additional clinical/experimental evidence. We profile 23 pharmacogenes with high-confidence gene-drug associations and find 22.4% of Asians at-risk of Centers for Disease Control and Prevention Tier 1 genetic conditions concurrently harbour pharmacogenetic variants with actionable phenotypes, highlighting the benefits of pre-emptive pharmacogenomics. Our findings illuminate the diversity in genetic disease epidemiology and opportunities for precision medicine for a large, diverse Asian population.
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Affiliation(s)
- Sock Hoai Chan
- grid.410724.40000 0004 0620 9745Cancer Genetics Service, Division of Medical Oncology, National Cancer Centre Singapore, Singapore, 169610 Singapore ,grid.428397.30000 0004 0385 0924Oncology Academic Clinical Program, Duke-NUS Medical School, Singapore, 169857 Singapore ,grid.59025.3b0000 0001 2224 0361Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 308232 Singapore
| | - Yasmin Bylstra
- grid.4280.e0000 0001 2180 6431SingHealth Duke-NUS Institute of Precision Medicine, Singapore, 169609 Singapore
| | - Jing Xian Teo
- grid.4280.e0000 0001 2180 6431SingHealth Duke-NUS Institute of Precision Medicine, Singapore, 169609 Singapore
| | - Jyn Ling Kuan
- grid.4280.e0000 0001 2180 6431SingHealth Duke-NUS Institute of Precision Medicine, Singapore, 169609 Singapore
| | - Nicolas Bertin
- grid.418377.e0000 0004 0620 715XGenome Research Informatics & Data Science Platform, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, 138672 Singapore
| | - Mar Gonzalez-Porta
- grid.418377.e0000 0004 0620 715XGenome Research Informatics & Data Science Platform, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, 138672 Singapore
| | - Maxime Hebrard
- grid.418377.e0000 0004 0620 715XGenome Research Informatics & Data Science Platform, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, 138672 Singapore
| | - Roberto Tirado-Magallanes
- grid.418377.e0000 0004 0620 715XGenome Research Informatics & Data Science Platform, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, 138672 Singapore
| | - Joanna Hui Juan Tan
- grid.418377.e0000 0004 0620 715XGenome Research Informatics & Data Science Platform, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, 138672 Singapore
| | - Justin Jeyakani
- grid.418377.e0000 0004 0620 715XGenome Research Informatics & Data Science Platform, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, 138672 Singapore
| | - Zhihui Li
- grid.418377.e0000 0004 0620 715XGenome Research Informatics & Data Science Platform, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, 138672 Singapore
| | - Jin Fang Chai
- grid.4280.e0000 0001 2180 6431Saw Swee Hock School of Public Health, National University of Singapore, Singapore, 117549 Singapore
| | - Yap Seng Chong
- grid.4280.e0000 0001 2180 6431Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228 Singapore ,grid.452264.30000 0004 0530 269XSingapore Institute for Clinical Sciences, Singapore, 117609 Singapore
| | - Sonia Davila
- grid.4280.e0000 0001 2180 6431SingHealth Duke-NUS Institute of Precision Medicine, Singapore, 169609 Singapore ,grid.428397.30000 0004 0385 0924Cardiovascular and Metabolic Disorders Program, Duke-NUS Medical School, Singapore, 169857 Singapore ,grid.4280.e0000 0001 2180 6431SingHealth Duke-NUS Genomic Medicine Centre, Singapore, 168582 Singapore
| | - Liuh Ling Goh
- grid.240988.f0000 0001 0298 8161Personalized Medicine Service, Tan Tock Seng Hospital, Singapore, 308433 Singapore
| | - Eng Sing Lee
- grid.59025.3b0000 0001 2224 0361Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 308232 Singapore ,grid.466910.c0000 0004 0451 6215National Healthcare Group Polyclinics, Singapore, 138543 Singapore
| | - Eleanor Wong
- grid.418377.e0000 0004 0620 715XGenome Institute of Singapore, Agency for Science, Technology and Research, Singapore, 138672 Singapore
| | - Tien Yin Wong
- grid.419272.b0000 0000 9960 1711Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, 168751 Singapore
| | | | - Shyam Prabhakar
- grid.418377.e0000 0004 0620 715XLaboratory of Systems Biology and Data Analytics, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, 138672 Singapore
| | - Jianjun Liu
- grid.418377.e0000 0004 0620 715XHuman Genomics, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, 138672 Singapore ,grid.4280.e0000 0001 2180 6431Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228 Singapore
| | - Ching-Yu Cheng
- grid.419272.b0000 0000 9960 1711Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, 168751 Singapore ,grid.428397.30000 0004 0385 0924Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, 169857 Singapore
| | - Birgit Eisenhaber
- grid.418377.e0000 0004 0620 715XGenome Institute of Singapore, Agency for Science, Technology and Research, Singapore, 138672 Singapore ,grid.418325.90000 0000 9351 8132Bioinformatics Institute, Agency for Science, Technology and Research, Singapore, 138671 Singapore
| | - Neerja Karnani
- grid.452264.30000 0004 0530 269XHuman Development, Singapore Institute for Clinical Sciences, Singapore, 117609 Singapore ,grid.418325.90000 0000 9351 8132Clinical Data Engagement, Bioinformatics Institute, Agency for Science, Technology and Research, Singapore, 138671 Singapore ,grid.4280.e0000 0001 2180 6431Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117596 Singapore
| | - Khai Pang Leong
- grid.240988.f0000 0001 0298 8161Personalized Medicine Service, Tan Tock Seng Hospital, Singapore, 308433 Singapore ,grid.240988.f0000 0001 0298 8161Department of Rheumatology, Allergy and Immunology, Tan Tock Seng Hospital, Singapore, 308433 Singapore
| | - Xueling Sim
- grid.4280.e0000 0001 2180 6431Saw Swee Hock School of Public Health, National University of Singapore, Singapore, 117549 Singapore
| | - Khung Keong Yeo
- grid.4280.e0000 0001 2180 6431SingHealth Duke-NUS Institute of Precision Medicine, Singapore, 169609 Singapore ,grid.419385.20000 0004 0620 9905Department of Cardiology, National Heart Centre Singapore, Singapore, 169609 Singapore ,grid.428397.30000 0004 0385 0924Duke-NUS Medical School, Singapore, 169857 Singapore
| | - John C. Chambers
- grid.59025.3b0000 0001 2224 0361Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 308232 Singapore ,Precision Health Research Singapore (PRECISE), Singapore, 139234 Singapore ,grid.7445.20000 0001 2113 8111Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG UK
| | - E-Shyong Tai
- grid.4280.e0000 0001 2180 6431Saw Swee Hock School of Public Health, National University of Singapore, Singapore, 117549 Singapore ,grid.4280.e0000 0001 2180 6431Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228 Singapore ,grid.428397.30000 0004 0385 0924Duke-NUS Medical School, Singapore, 169857 Singapore ,Precision Health Research Singapore (PRECISE), Singapore, 139234 Singapore
| | - Patrick Tan
- grid.4280.e0000 0001 2180 6431SingHealth Duke-NUS Institute of Precision Medicine, Singapore, 169609 Singapore ,grid.418377.e0000 0004 0620 715XGenome Institute of Singapore, Agency for Science, Technology and Research, Singapore, 138672 Singapore ,Precision Health Research Singapore (PRECISE), Singapore, 139234 Singapore ,grid.428397.30000 0004 0385 0924Cancer & Stem Cell Biology Program, Duke-NUS Medical School, Singapore, 169857 Singapore ,grid.4280.e0000 0001 2180 6431Cancer Science Institute of Singapore, National University of Singapore, Singapore, 117599 Singapore
| | - Saumya S. Jamuar
- grid.4280.e0000 0001 2180 6431SingHealth Duke-NUS Institute of Precision Medicine, Singapore, 169609 Singapore ,grid.4280.e0000 0001 2180 6431SingHealth Duke-NUS Genomic Medicine Centre, Singapore, 168582 Singapore ,grid.414963.d0000 0000 8958 3388Genetics Service, Department of Paediatrics, KK Women’s and Children’s Hospital, Singapore, 229899 Singapore ,grid.428397.30000 0004 0385 0924Paediatric Academic Clinical Program, Duke-NUS Medical School, Singapore, 169857 Singapore
| | - Joanne Ngeow
- grid.410724.40000 0004 0620 9745Cancer Genetics Service, Division of Medical Oncology, National Cancer Centre Singapore, Singapore, 169610 Singapore ,grid.428397.30000 0004 0385 0924Oncology Academic Clinical Program, Duke-NUS Medical School, Singapore, 169857 Singapore ,grid.59025.3b0000 0001 2224 0361Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 308232 Singapore ,grid.185448.40000 0004 0637 0221Institute of Molecular and Cellular Biology, Agency for Science, Technology and Research, Singapore, 138673 Singapore
| | - Weng Khong Lim
- grid.4280.e0000 0001 2180 6431SingHealth Duke-NUS Institute of Precision Medicine, Singapore, 169609 Singapore ,grid.4280.e0000 0001 2180 6431SingHealth Duke-NUS Genomic Medicine Centre, Singapore, 168582 Singapore ,grid.428397.30000 0004 0385 0924Cancer & Stem Cell Biology Program, Duke-NUS Medical School, Singapore, 169857 Singapore
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45
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Havron N, Lovcevic I, Kee MZL, Chen H, Chong YS, Daniel M, Broekman BFP, Tsuji S. The effect of older sibling, postnatal maternal stress, and household factors on language development in two- to four-year-old children. Dev Psychol 2022; 58:2096-2113. [PMID: 35951397 DOI: 10.1037/dev0001417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Previous literature has shown that family structure affects language development. Here, factors relating to older siblings (their presence in the house, sex, and age gap), mothers (maternal stress), and household size and residential crowding were assessed to systematically examine the different roles of these factors. Data from mother-child dyads in a Singaporean birth cohort, (677-855 dyads; 52% males; 58% to 61% Chinese, 20% to 24% Malay, 17% to 19% Indian) collected when children were 24, 48, and 54 months old, were analyzed. There was a negative effect of having an older sibling, moderated by the siblings' age gap, but not by the older sibling's sex, nor household size or residential crowding. Maternal stress affected language outcomes in some analyses but not others. Implications for understanding the possible effects of family structure on language development are discussed. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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Affiliation(s)
- Naomi Havron
- School of Psychological Sciences, University of Haifa
| | - Irena Lovcevic
- International Research Center for Neurointelligence (WPI-IRCN), University of Tokyo, Institutes for Advanced Studies
| | - Michelle Z L Kee
- Singapore Institute for Clinical Sciences, A*STAR, Brenner Centre for Molecular Medicine
| | | | - Yap Seng Chong
- Singapore Institute for Clinical Sciences, A*STAR, Brenner Centre for Molecular Medicine
| | | | - Birit F P Broekman
- Singapore Institute for Clinical Sciences, A*STAR, Brenner Centre for Molecular Medicine
| | - Sho Tsuji
- International Research Center for Neurointelligence (WPI-IRCN), University of Tokyo, Institutes for Advanced Studies
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46
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Li R, Lau HX, Yap QV, Chan YH, Tham EH, Goh AEN, Van Bever H, Eriksson JG, Chan S, Tan KH, Chong YS, Lee BW, Shek LP, Yap FKP, Calder PC, Godfrey KM, Chong MF, Loo EXL. Maternal polyunsaturated fatty acids and allergic disease development in the offspring. Pediatr Allergy Immunol 2022; 33:e13876. [PMID: 36433851 PMCID: PMC10946560 DOI: 10.1111/pai.13876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 10/10/2022] [Accepted: 10/23/2022] [Indexed: 11/13/2022]
Affiliation(s)
- Ruyu Li
- Singapore Institute for Clinical SciencesAgency for Science, Technology and ResearchSingaporeSingapore
| | - Hui Xing Lau
- Singapore Institute for Clinical SciencesAgency for Science, Technology and ResearchSingaporeSingapore
| | - Qai Ven Yap
- Department of Biostatistics, Yong Loo Lin School of MedicineNational University of SingaporeSingaporeSingapore
| | - Yiong Huak Chan
- Department of Biostatistics, Yong Loo Lin School of MedicineNational University of SingaporeSingaporeSingapore
| | - Elizabeth Huiwen Tham
- Singapore Institute for Clinical SciencesAgency for Science, Technology and ResearchSingaporeSingapore
- Department of Paediatrics, Yong Loo Lin School of MedicineNational University of SingaporeSingaporeSingapore
- Khoo Teck Puat‐National University Children's Medical InstituteNational University Hospital, National University Health SystemSingaporeSingapore
- Human Potential Translational Research Programme, Yong Loo Lin School of MedicineNational University of SingaporeSingaporeSingapore
| | - Anne Eng Neo Goh
- Allergy Service, Department of PaediatricsKK Women's and Children's HospitalSingaporeSingapore
| | - Hugo Van Bever
- Department of Paediatrics, Yong Loo Lin School of MedicineNational University of SingaporeSingaporeSingapore
| | - Johan Gunnar Eriksson
- Singapore Institute for Clinical SciencesAgency for Science, Technology and ResearchSingaporeSingapore
- Human Potential Translational Research Programme, Yong Loo Lin School of MedicineNational University of SingaporeSingaporeSingapore
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of MedicineNational University of Singapore and National University Health SystemSingaporeSingapore
- Folkhälsan Research CenterHelsinkiFinland
- Department of General Practice and Primary Health CareUniversity of HelsinkiHelsinkiFinland
| | - Shiao‐Yng Chan
- Singapore Institute for Clinical SciencesAgency for Science, Technology and ResearchSingaporeSingapore
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of MedicineNational University of Singapore and National University Health SystemSingaporeSingapore
| | - Kok Hian Tan
- Department of Maternal Fetal MedicineKK Women's and Children's Hospital (KKH)SingaporeSingapore
| | - Yap Seng Chong
- Singapore Institute for Clinical SciencesAgency for Science, Technology and ResearchSingaporeSingapore
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of MedicineNational University of Singapore and National University Health SystemSingaporeSingapore
| | - Bee Wah Lee
- Department of Paediatrics, Yong Loo Lin School of MedicineNational University of SingaporeSingaporeSingapore
| | - Lynette Pei‐chi Shek
- Department of Paediatrics, Yong Loo Lin School of MedicineNational University of SingaporeSingaporeSingapore
| | - Fabian Kok Peng Yap
- Duke‐NUS Medical SchoolSingaporeSingapore
- Lee Kong Chian School of MedicineNanyang Technological UniversitySingaporeSingapore
- Endocrinology Service, Department of PaediatricsKK Women's and Children's HospitalSingaporeSingapore
| | - Philip C. Calder
- School of Human Development and Health, Faculty of MedicineUniversity of SouthamptonSouthamptonUK
- NIHR Southampton Biomedical Research CentreUniversity Hospital Southampton NHS Foundation Trust and University of SouthamptonSouthamptonUK
| | - Keith M. Godfrey
- School of Human Development and Health, Faculty of MedicineUniversity of SouthamptonSouthamptonUK
- NIHR Southampton Biomedical Research CentreUniversity Hospital Southampton NHS Foundation Trust and University of SouthamptonSouthamptonUK
- MRC Lifecourse Epidemiology Unit, Faculty of MedicineUniversity of SouthamptonSouthamptonUK
| | - Mary Foong‐Fong Chong
- Singapore Institute for Clinical SciencesAgency for Science, Technology and ResearchSingaporeSingapore
- Saw Swee Hock School of Public HealthNational University of SingaporeSingaporeSingapore
| | - Evelyn Xiu Ling Loo
- Singapore Institute for Clinical SciencesAgency for Science, Technology and ResearchSingaporeSingapore
- Department of Paediatrics, Yong Loo Lin School of MedicineNational University of SingaporeSingaporeSingapore
- Human Potential Translational Research Programme, Yong Loo Lin School of MedicineNational University of SingaporeSingaporeSingapore
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Chan SY, Yong HEJ, Chang HF, Barton SJ, Galani S, Zhang H, Wong JT, Ong J, Ebreo M, El-Heis S, Kenealy T, Nield H, Baker PN, Chong YS, Cutfield WS, Godfrey KM. Peripartum outcomes after combined myo-inositol, probiotics, and micronutrient supplementation from preconception: the NiPPeR randomized controlled trial. Am J Obstet Gynecol MFM 2022; 4:100714. [PMID: 35970494 DOI: 10.1016/j.ajogmf.2022.100714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 08/08/2022] [Indexed: 10/31/2022]
Abstract
BACKGROUND Evidence that nutritional supplementation before and during pregnancy improves peripartum outcomes is sparse. In the Nutritional Intervention Preconception and During Pregnancy to Maintain Healthy Glucose Metabolism and Offspring Health (NiPPeR) trial, we previously reported that a combined myo-inositol, probiotics, and micronutrient supplement started at preconception showed no difference in the primary outcome of gestational glycemia, but did reduce the risk of preterm delivery, preterm prelabor rupture of membranes, and major postpartum hemorrhage. OBJECTIVE This study aimed to examine the hypothesis that a reduction in major postpartum hemorrhage following a combined nutritional (myo-inositol, probiotics, and micronutrients) intervention is linked with promotion of labor progress and reduced operative delivery. STUDY DESIGN This double-blind randomized controlled trial recruited 1729 women from the United Kingdom, Singapore, and New Zealand, aged 18 to 38 years, and planning conception between 2015 and 2017. The effects of the nutritional intervention compared with those of a standard micronutrient supplement (control), taken at preconception and throughout pregnancy, were examined for the secondary outcomes of peripartum events using multinomial, Poisson, and linear regression adjusting for site, ethnicity, and important covariates. RESULTS Of the women who conceived and progressed beyond 24 weeks' gestation with a singleton pregnancy (n=589), 583 (99%) provided peripartum data. Between women in the intervention (n=293) and control (n=290) groups, there were no differences in rates of labor induction, oxytocin augmentation during labor, instrumental delivery, perineal trauma, and intrapartum cesarean delivery. Although duration of the first stage of labor was similar, the second-stage duration was 20% shorter in the intervention than in the control group (adjusted mean difference, -12.0 [95% confidence interval, -22.2 to -1.2] minutes; P=.029), accompanied by a reduction in operative delivery for delayed second-stage progress (adjusted risk ratio, 0.61 [0.48-0.95]; P=.022). Estimated blood loss was 10% lower in the intervention than in the control group (adjusted mean difference, -35.0 [-70.0 to -3.5] mL; P=.047), consistent with previous findings of reduced postpartum hemorrhage. CONCLUSION Supplementation with a specific combination of myo-inositol, probiotics, and micronutrients started at preconception and continued in pregnancy reduced the duration of the second stage of labor, the risk of operative delivery for delay in the second stage, and blood loss at delivery.
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Affiliation(s)
- Shiao-Yng Chan
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore (Drs Chan and Chong); Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore (Drs Chan, Yong, and Zhang, Mr Wong, and Dr Chong); Department of Obstetrics and Gynaecology, National University Hospital, Singapore (Dr Chan, Ms Chang, Drs Ong, Ebreo, and Chong).
| | - Hannah E J Yong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore (Drs Chan, Yong, and Zhang, Mr Wong, and Dr Chong)
| | - Hsin Fang Chang
- Department of Obstetrics and Gynaecology, National University Hospital, Singapore (Dr Chan, Ms Chang, Drs Ong, Ebreo, and Chong)
| | - Sheila J Barton
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, United Kingdom (Dr Barton, Ms Galani, Dr El-Heis, Ms Nield, and Dr Godfrey)
| | - Sevasti Galani
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, United Kingdom (Dr Barton, Ms Galani, Dr El-Heis, Ms Nield, and Dr Godfrey)
| | - Han Zhang
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore (Drs Chan, Yong, and Zhang, Mr Wong, and Dr Chong)
| | - Jui-Tsung Wong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore (Drs Chan, Yong, and Zhang, Mr Wong, and Dr Chong)
| | - Judith Ong
- Department of Obstetrics and Gynaecology, National University Hospital, Singapore (Dr Chan, Ms Chang, Drs Ong, Ebreo, and Chong)
| | - Marilou Ebreo
- Department of Obstetrics and Gynaecology, National University Hospital, Singapore (Dr Chan, Ms Chang, Drs Ong, Ebreo, and Chong)
| | - Sarah El-Heis
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, United Kingdom (Dr Barton, Ms Galani, Dr El-Heis, Ms Nield, and Dr Godfrey)
| | - Timothy Kenealy
- Liggins Institute, University of Auckland, Auckland, New Zealand (Drs Kenealy and Cutfield)
| | - Heidi Nield
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, United Kingdom (Dr Barton, Ms Galani, Dr El-Heis, Ms Nield, and Dr Godfrey)
| | - Philip N Baker
- College of Life Sciences, University of Leicester, Leicester, United Kingdom (Dr Baker)
| | - Yap Seng Chong
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore (Drs Chan and Chong); Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore (Drs Chan, Yong, and Zhang, Mr Wong, and Dr Chong); Department of Obstetrics and Gynaecology, National University Hospital, Singapore (Dr Chan, Ms Chang, Drs Ong, Ebreo, and Chong)
| | - Wayne S Cutfield
- Liggins Institute, University of Auckland, Auckland, New Zealand (Drs Kenealy and Cutfield); A Better Start, National Science Challenge, Auckland, New Zealand (Dr Cutfield); A Better Start, National Science Challenge, Auckland, New Zealand
| | - Keith M Godfrey
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, United Kingdom (Dr Barton, Ms Galani, Dr El-Heis, Ms Nield, and Dr Godfrey); National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton, National Health Service (NHS) Foundation Trust, Southampton, United Kingdom (Dr Godfrey)
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48
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Li LJ, Du R, Loy SL, Chong YS, Chan JKY, Wong TY, Eriksson JG, Huang Z, Zhang C. Retinal microvasculature and risk of spontaneous abortion in multiethnic Southeast Asian women. Fertil Steril 2022; 118:748-757. [PMID: 35981917 DOI: 10.1016/j.fertnstert.2022.06.033] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 06/14/2022] [Accepted: 06/28/2022] [Indexed: 01/13/2023]
Abstract
OBJECTIVE To better understand the underlying pathogenesis of spontaneous abortion that affects 10%-20% of recognized pregnancies. We used retinal imaging to study the role of systemic microvasculature and the risk of spontaneous abortion. DESIGN A prospective multiethnic preconception cohort study conducted in Singapore. SETTING Hospital-based. PATIENT(S) A total of 1,032 Southeast Asian women who intended to conceive naturally were screened at study entry, among which 480 women spontaneously conceived within the 12-month observation period. After excluding 24 women who were lost to follow-up, we calculated the spontaneous abortion rate among 456 women. Further, we included 379 women for the final association analysis because 63 women did not undergo preconception retinal imaging examination and 14 had other types of pregnancy loss instead of spontaneous abortion. INTERVENTION(S) Trained photographers performed retinal examination using a 45-degree nonmydriatic retinal camera at study entry during the preconception screening. Using a semiautomated, computer-based program, we assessed quantitative retinal microvascular measurements, including caliber, fractal dimension, curvature tortuosity, and branching angle. Clinical research coordinators collected information on sociodemographic status, menstrual characteristics, and lifestyle, and assessed blood pressure and anthropometry at study entry. MAIN OUTCOME MEASURE(S) We performed a modified Poisson regression model to estimate the relative risk (RR) and 95% confidence interval (CI) for each retinal microvascular feature and its association with spontaneous abortion after adjusting for major confounders such as maternal prepregnancy, body mass index, and previous pregnancy loss history. RESULT(S) We reported a spontaneous abortion rate of 13.4% (61 out of 456). Among all retinal microvascular features, retinal arteriolar caliber, retinal arteriolar, and venular curvature tortuosity were associated with a high risk of incident spontaneous abortion. In the regression model, per SD increase in retinal curvature tortuosity was associated with a 25%-34% increased risk of incident spontaneous abortion (arteriolar: unadjusted RR, 1.29 [95% CI, 1.06-1.56] and adjusted RR, 1.26 [1.04-1.53]; venule: unadjusted RR, 1.30 [1.08-1.55] and adjusted RR, 1.34 [1.09-1.64]). CONCLUSION(S) Our prospective cohort observed an increased risk of spontaneous abortion among Asian women with more tortuous retinal vessels assessed during the preconception phase. Our results indicate a role of vascular inflammatory and oxidative stress in the pathogenesis of spontaneous abortion. CLINICAL TRIAL REGISTRATION NUMBER ClinicalTrials.gov, NCT03531658.
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Affiliation(s)
- Ling-Jun Li
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
| | - Ruochen Du
- Biostatics Unit, Yong Loo Lin School of Medicine, National University of Singapore
| | - See Ling Loy
- Duke-NUS Medical School, Singapore, Singapore; Department of Reproductive Medicine, KK Women's and Children's Hospital, Singapore, Singapore
| | - Yap Seng Chong
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jerry Kok Yen Chan
- Duke-NUS Medical School, Singapore, Singapore; Department of Reproductive Medicine, KK Women's and Children's Hospital, Singapore, Singapore
| | - Tien Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - Johan G Eriksson
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Folkhälsan Research Center, Helsinki, Finland; Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A∗STAR), Singapore
| | - Zhongwei Huang
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Institute of Molecular and Cell Biology, Agency of Science, Technology & Research, Singapore, Singapore
| | - Cuilin Zhang
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Epidemiology Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland
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49
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Kee MZ, Teh AL, Clappison A, Pokhvisneva I, MacIssac JL, Lin DT, Ramadori KE, Broekman BF, Chen H, Daniel ML, Karnani N, Kobor MS, Gluckman PD, Chong YS, Huang JY, Meaney MJ. Fetal sex-specific epigenetic associations with prenatal maternal depressive symptoms. iScience 2022; 25:104860. [PMID: 36046194 PMCID: PMC9421382 DOI: 10.1016/j.isci.2022.104860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 06/14/2022] [Accepted: 07/26/2022] [Indexed: 11/22/2022] Open
Abstract
Prenatal maternal mental health is a global health challenge with poorly defined biological mechanisms. We used maternal blood samples collected during the second trimester from a Singaporean longitudinal birth cohort study to examine the association between inter-individual genome-wide DNA methylation and prenatal maternal depressive symptoms. We found that (1) the maternal methylome was significantly associated with prenatal maternal depressive symptoms only in mothers with a female fetus; and (2) this sex-dependent association was observed in a comparable, UK-based birth cohort study. Qualitative analyses showed fetal sex-specific differences in genomic features of depression-related CpGs and genes mapped from these CpGs in mothers with female fetuses implicated in a depression-associated WNT/β-catenin signaling pathway. These same genes also showed enriched expression in brain regions linked to major depressive disorder. We also found similar female-specific associations with fetal-facing placenta methylome. Our fetal sex-specific findings provide evidence for maternal-fetal interactions as a mechanism for intergenerational transmission.
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Affiliation(s)
- Michelle Z.L. Kee
- Translation Neuroscience, Singapore Institute for Clinical Sciences, ASTAR, Singapore 117609, Singapore
| | - Ai Ling Teh
- Bioinformatics, Singapore Institute for Clinical Sciences, ASTAR, Singapore 117609, Singapore
| | - Andrew Clappison
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, QC H4H 1R3, Canada
| | - Irina Pokhvisneva
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, QC H4H 1R3, Canada
| | - Julie L. MacIssac
- Centre for Molecular Medicine and Therapeutics, BC Children’s Hospital Research Institute, Department of Medical Genetics, University of British Columbia, Vancouver, BC V5Z 4H4, Canada
| | - David T.S. Lin
- Centre for Molecular Medicine and Therapeutics, BC Children’s Hospital Research Institute, Department of Medical Genetics, University of British Columbia, Vancouver, BC V5Z 4H4, Canada
| | - Katia E. Ramadori
- Centre for Molecular Medicine and Therapeutics, BC Children’s Hospital Research Institute, Department of Medical Genetics, University of British Columbia, Vancouver, BC V5Z 4H4, Canada
| | - Birit F.P. Broekman
- Translation Neuroscience, Singapore Institute for Clinical Sciences, ASTAR, Singapore 117609, Singapore
- Department of Psychiatry, Amsterdam UMC and OLVG, VU University, 1007 Amsterdam, the Netherlands
| | - Helen Chen
- Department of Psychological Medicine (Mental Wellness Service), KK Women’s and Children’s Hospital, Singapore 229899, Singapore
| | - Mary Lourdes Daniel
- Department of Child Development, KK Women’s and Children’s Hospital, Singapore 229899, Singapore
| | - Neerja Karnani
- Translation Neuroscience, Singapore Institute for Clinical Sciences, ASTAR, Singapore 117609, Singapore
| | - Michael S. Kobor
- Centre for Molecular Medicine and Therapeutics, BC Children’s Hospital Research Institute, Department of Medical Genetics, University of British Columbia, Vancouver, BC V5Z 4H4, Canada
| | - Peter D. Gluckman
- Translation Neuroscience, Singapore Institute for Clinical Sciences, ASTAR, Singapore 117609, Singapore
- Centre for Human Evolution, Adaptation and Disease, Liggins Institute, University of Auckland, Auckland 1142, New Zealand
| | - Yap Seng Chong
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore
| | - Jonathan Y. Huang
- Translation Neuroscience, Singapore Institute for Clinical Sciences, ASTAR, Singapore 117609, Singapore
- Centre for Quantitative Medicine, Health Services and System Research Signature Research Programme, Duke-NUS Medical School, Singapore 169857, Singapore
| | - Michael J. Meaney
- Translation Neuroscience, Singapore Institute for Clinical Sciences, ASTAR, Singapore 117609, Singapore
- Bioinformatics, Singapore Institute for Clinical Sciences, ASTAR, Singapore 117609, Singapore
- Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore
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50
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Michael N, Gupta V, Fogel A, Huang J, Chen L, Sadananthan SA, Ong YY, Aris IM, Pang WW, Yuan WL, Loy SL, Thway Tint M, Tan KH, Chan JK, Chan SY, Shek LPC, Yap F, Godfrey K, Chong YS, Gluckman P, Velan SS, Forde CG, Lee YS, Eriksson JG, Karnani N. Longitudinal characterization of determinants associated with obesogenic growth patterns in early childhood. Int J Epidemiol 2022; 52:426-439. [PMID: 36087338 PMCID: PMC10114026 DOI: 10.1093/ije/dyac177] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 08/29/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Longitudinal assessment of the determinants of obesogenic growth trajectories in childhood can suggest appropriate developmental windows for intervention. METHODS Latent class growth mixture modelling was used to identify body mass index (BMI) z-score trajectories from birth to age 6 years in 994 children from a prospective mother-offspring cohort (Chinese, Indian and Malay ethnicities) based in Singapore. We evaluated the early-life determinants of the trajectories as well as their associations with cardiometabolic risk markers at age 6 years. RESULTS Five BMI z-score trajectory patterns were identified, three within the healthy weight range, alongside early-acceleration and late-acceleration obesogenic trajectories. The early-acceleration pattern was characterized by elevated fetal abdominal circumference growth velocity, BMI acceleration immediately after birth and crossing of the obesity threshold by age 2 years. The late-acceleration pattern had normal fetal growth and BMI acceleration after infancy, and approached the obesity threshold by age 6 years. Abdominal fat, liver fat, insulin resistance and odds of pre-hypertension/hypertension were elevated in both groups. Indian ethnicity, high pre-pregnancy BMI, high polygenic risk scores for obesity and shorter breastfeeding duration were common risk factors for both groups. Malay ethnicity and low maternal educational attainment were uniquely associated with early BMI acceleration, whereas nulliparity and obesogenic eating behaviours in early childhood were uniquely associated with late BMI acceleration. CONCLUSION BMI acceleration starting immediately after birth or after infancy were both linked to early cardiometabolic alterations. The determinants of these trajectories may be useful for developing early risk stratification and intervention approaches to counteract metabolic adversities linked to childhood obesity.
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Affiliation(s)
- Navin Michael
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore
| | - Varsha Gupta
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore
| | - Anna Fogel
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore
| | - Jonathan Huang
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore
| | - Li Chen
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore
| | - Suresh Anand Sadananthan
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore
| | - Yi Ying Ong
- Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Izzuddin M Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, USA
| | - Wei Wei Pang
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Wen Lun Yuan
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore.,Université de Paris, CRESS, Inserm, INRAE, Paris, France
| | - See Ling Loy
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore.,Department of Reproductive Medicine, KK Women's and Children's Hospital, Singapore.,Duke-NUS Medical School, Singapore
| | - Mya Thway Tint
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore.,Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Kok Hian Tan
- Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore.,Academic Medicine, Duke-National University of Singapore Graduate Medical School, Singapore
| | - Jerry Ky Chan
- Duke-NUS Medical School, Singapore.,Department of Reproductive Medicine, KK Women's and Children's Hospital, Singapore
| | - Shiao-Yng Chan
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore.,Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Lynette Pei-Chi Shek
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore.,Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Fabian Yap
- Duke-NUS Medical School, Singapore.,Department of Pediatrics, KK Women's and Children's Hospital, Singapore.,Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Keith Godfrey
- MRC Lifecourse Epidemiology Centre and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore.,Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Peter Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore.,Liggins Institute, University of Auckland, Auckland, New Zealand
| | - S Sendhil Velan
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore.,Institute of Bioengineering & Bioimaging, Agency for Science Technology and Research, Singapore
| | - Ciarán G Forde
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, Netherlands
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore.,Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Johan G Eriksson
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore.,Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland.,Folkhälsan Research Center, Helsinki, Finland
| | - Neerja Karnani
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore.,Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Bioinformatics Institute, Agency for Science Technology and Research, Singapore
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