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Pham A, Kaur K, Grace MR, Ha LC, Zuckerwise LC. Perinatal outcomes according to umbilical artery Doppler assessment among fetuses with congenital heart disease. Arch Gynecol Obstet 2024; 310:1467-1474. [PMID: 38478160 DOI: 10.1007/s00404-024-07401-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 01/25/2024] [Indexed: 09/03/2024]
Abstract
PURPOSE To evaluate a cohort of fetuses with congenital heart disease (CHD) who underwent serial umbilical artery (UA) Doppler surveillance and assess perinatal outcome according to UA Doppler assessment. METHODS A retrospective cohort study of singleton fetuses with CHD at a single academic center was performed between 2018 and 2020. Fetuses with a chromosomal abnormality or growth restriction were excluded. We compared fetuses with normal versus abnormal UA Doppler assessment at any time in pregnancy. Abnormal UA Doppler assessment was defined as decreased end diastolic flow, determined by an elevated systolic/diastolic ratio >95th percentile for gestational age, or absent/reversed end diastolic flow. Logistic regression assessed the odds of fetuses with CHD and abnormal UA Doppler assessment having a composite adverse perinatal (defined as fetal, neonatal, or infant death), adjusting for relevant covariates. RESULTS We identified a cohort of 171 fetuses with CHD that met inclusion criteria. Of these, 154 (90%) had normal UA Doppler assessment and 17 (10%) had abnormal UA Doppler assessment throughout pregnancy. Maternal characteristics did not differ between groups except for maternal race and history of preeclampsia. There was no statistically significant difference in primary outcome between groups [14% (21/154) of fetuses with normal UA Doppler assessment had an adverse perinatal outcome compared to 24% (4/17) of those with abnormal UA Doppler assessment, p = 0.28]. CONCLUSION UA Doppler assessment is unlikely to predict adverse perinatal outcome in normally grown, euploid singleton fetuses with CHD.
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Affiliation(s)
- Amelie Pham
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Medical Center North, 1161 21st Avenue, South 1100, Nashville, TN, 37212, USA.
| | - Karampreet Kaur
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Medical Center North, 1161 21st Avenue, South 1100, Nashville, TN, 37212, USA
- Department of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, PA, USA
| | - Matthew R Grace
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Medical Center North, 1161 21st Avenue, South 1100, Nashville, TN, 37212, USA
| | - Laura C Ha
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Medical Center North, 1161 21st Avenue, South 1100, Nashville, TN, 37212, USA
- Department of Obstetrics and Gynecology, Cedars-Sinai, Los Angeles, CA, USA
| | - Lisa C Zuckerwise
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Medical Center North, 1161 21st Avenue, South 1100, Nashville, TN, 37212, USA
- Department of Obstetrics and Gynecology, University of Virginia, Charlottesville, VA, USA
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Jović M, Haeri MA, Whitehouse A, van den Berg SM. Harmonizing the CBCL and SDQ ADHD scores by using linear equating, kernel equating, item response theory and machine learning methods. Front Psychol 2024; 15:1345406. [PMID: 39049945 PMCID: PMC11267626 DOI: 10.3389/fpsyg.2024.1345406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 06/17/2024] [Indexed: 07/27/2024] Open
Abstract
Introduction A problem that applied researchers and practitioners often face is the fact that different institutions within research consortia use different scales to evaluate the same construct which makes comparison of the results and pooling challenging. In order to meaningfully pool and compare the scores, the scales should be harmonized. The aim of this paper is to use different test equating methods to harmonize the ADHD scores from Child Behavior Checklist (CBCL) and Strengths and Difficulties Questionnaire (SDQ) and to see which method leads to the result. Methods Sample consists of 1551 parent reports of children aged 10-11.5 years from Raine study on both CBCL and SDQ (common persons design). We used linear equating, kernel equating, Item Response Theory (IRT), and the following machine learning methods: regression (linear and ordinal), random forest (regression and classification) and Support Vector Machine (regression and classification). Efficacy of the methods is operationalized in terms of the root-mean-square error (RMSE) of differences between predicted and observed scores in cross-validation. Results and discussion Results showed that with single group design, it is the best to use the methods that use item level information and that treat the outcome as interval measurement level (regression approach).
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Affiliation(s)
- Miljan Jović
- Department of Learning, Data Analytics and Technology, University of Twente, Enschede, Netherlands
| | - Maryam Amir Haeri
- Department of Learning, Data Analytics and Technology, University of Twente, Enschede, Netherlands
| | - Andrew Whitehouse
- Telethon Kids Institute, University of Western Australia, Perth, WA, Australia
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Robinson M, Burgner D, Lin A, Jacoby P, Eikelboom R, Vijayasekaran S, Brennan-Jones CG. Risk of otitis media in offspring following maternal prenatal stress exposure. Int J Pediatr Otorhinolaryngol 2024; 182:112022. [PMID: 38941719 DOI: 10.1016/j.ijporl.2024.112022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Revised: 06/12/2024] [Accepted: 06/23/2024] [Indexed: 06/30/2024]
Abstract
OBJECTIVES There is limited but consistent evidence that suggests prenatal factors, including maternal stress, may contribute to susceptibility for otitis media. We aimed to determine the effect of multiple life stress events during pregnancy on risk of acute and recurrent otitis media in offspring at three and five years of age. METHODS Exposure data on stressful life events were collected from pregnant women in a longitudinal prospective pregnancy cohort study, at 18 and 34 weeks' gestation. We used longitudinal regression models stratified by offspring sex to examine associations between the number, type and timing of maternal prenatal stress events and the likelihood of any OM in addition to recurrent OM infection at age three and five years, adjusting for pre-specified prenatal sociodemographic and environmental confounders. RESULTS Each additional stressful life event in pregnancy was associated with increased risk of any OM at both ages (3 years: OR = 1.07, 95%CI = 1.02, 1.12; 5 years: OR = 1.07, 95%CI = 1.02, 1.12), with larger effect sizes for recurrent otitis media (3 years: OR = 1.11, 95%CI = 1.05, 1.17; 5 years: OR = 1.09, 95%CI = 1.04, 1.14). Risk of offspring otitis media did not differ with timing of stress nor by offspring sex. Specific types of stress (pregnancy and relationship problems, issues with other children) were each associated with increased risk of recurrent OM at age three and five years. CONCLUSIONS We observed a dose-response relationship between maternal stressful life events in pregnancy and the risk for offspring otitis media in the preschool years, most marked for recurrent otitis media.
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Affiliation(s)
- Monique Robinson
- Telethon Kids Institute, The University of Western Australia, Australia.
| | - David Burgner
- Murdoch Children's Research Institute, Parkville, Australia; Department of Paediatrics, University of Melbourne, Parkville, Australia; Department of Paediatrics, Monash University, Clayton, Australia
| | - Ashleigh Lin
- School of Population and Global Health, The University of Western Australia, Australia
| | - Peter Jacoby
- Telethon Kids Institute, The University of Western Australia, Australia
| | - Robert Eikelboom
- Ear Sciences Centre, Medical School, The University of Western Australia, Australia; Ear Science Institute Australia, Perth, Australia; Department of Speech-Language Pathology and Audiology, University of Pretoria, Pretoria, South Africa; Faculty of Health Sciences, Curtin University, Perth, Western Australia, Australia
| | - Shyan Vijayasekaran
- Perth ENT Centre, Perth, Australia; Otolaryngology Head and Neck Surgery, Perth Children's Hospital, Perth, Australia; Medical School, The University of Western Australia, Australia
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Barden A, Shinde S, Beilin LJ, Phillips M, Adams L, Bollmann S, Mori TA. Adiposity associates with lower plasma resolvin E1 (Rve1): a population study. Int J Obes (Lond) 2024; 48:725-732. [PMID: 38347128 PMCID: PMC11058310 DOI: 10.1038/s41366-024-01482-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 01/16/2024] [Accepted: 01/19/2024] [Indexed: 02/17/2024]
Abstract
BACKGROUND Inadequate inflammation resolution may contribute to persistent low-grade inflammation that accompanies many chronic conditions. Resolution of inflammation is an active process driven by Specialized Pro-resolving Mediators (SPM) that derive from long chain n-3 and n-6 fatty acids. This study examined plasma SPM in relation to sex differences, lifestyle and a broad range cardiovascular disease (CVD) risk factors in 978, 27-year olds from the Australian Raine Study. METHODS Plasma SPM pathway intermediates (18-HEPE, 17-HDHA and 14-HDHA), and SPM (E- and D-series resolvins, PD1, MaR1) and LTB4 were measured by liquid chromatography-tandem mass spectrometry (LCMSMS). Pearson correlations and multiple regression analyses assessed relationships between SPM and CVD risk factors. Unpaired t-tests or ANOVA assessed the effect of sex, smoking, unhealthy alcohol consumption and obesity on SPM. RESULTS Women had higher 17-HDHA (p = 0.01) and lower RvE1 (p < 0.0001) and RvD1 (p = 0.05) levels compared with men. In univariate analysis, obesity associated with lower RvE1 (p = 0.002), whereas smoking (p < 0.001) and higher alcohol consumption (p < 0.001) associated with increased RvE1. In multiple regression analysis, plasma RvE1 was negatively associated with a range of measures of adiposity including BMI, waist circumference, waist-to-height ratio, abdominal subcutaneous fat volume, and skinfold thicknesses in both men and women. CONCLUSION This population study suggests that a deficiency in plasma RvE1 may occur in response to increasing adiposity. This observation could be relevant to ongoing inflammation that associates with CVD and other chronic diseases.
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Affiliation(s)
- Anne Barden
- Medical School, University of Western Australia, Perth, WA, Australia.
| | - Sujata Shinde
- Medical School, University of Western Australia, Perth, WA, Australia
| | - Lawrence J Beilin
- Medical School, University of Western Australia, Perth, WA, Australia
| | - Michael Phillips
- Centre for Medical Research, University of Western Australia, Perth, WA, Australia
- Royal Perth Hospital Research Foundation, Perth, WA, Australia
| | - Leon Adams
- Medical School, University of Western Australia, Perth, WA, Australia
| | - Steffen Bollmann
- School of Information Technology and Electrical Engineering, Centre for Advanced Imaging, The University of Queensland, Brisbane, QLD, Australia
| | - Trevor A Mori
- Medical School, University of Western Australia, Perth, WA, Australia
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Altamimi AAH, Robinson M, Alenezi EMA, Choi RSM, Brennan-Jones CG. The Impact of Early-Life Recurrent Otitis Media in Children on the Psychological Well-Being of Caregivers. Laryngoscope 2024; 134:1445-1449. [PMID: 37565701 DOI: 10.1002/lary.30949] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 07/13/2023] [Accepted: 07/26/2023] [Indexed: 08/12/2023]
Abstract
AIM Children with early-life recurrent otitis media (OM) will often endure pain, sleep disturbances, and other developmental setbacks that impact the surrounding family system. The aim of this study was to investigate the psychological well-being and family functioning of caregivers of children with early-life recurrent OM (rOM). METHODS Data from a longitudinal pregnancy cohort were used to categorize children into two groups: those with a history of recurrent OM (rOM group) and those without a history of rOM (reference group) by the age of 3 years. The psychological well-being of caregivers and the family functioning status were assessed using the Affect Balance Scale and the General Functioning Scale of the McMaster Family Assessment Device (FAD-GF), respectively, at the three-, five-, and eight-year follow-up appointments. Multiple linear regression models were used to analyze the data and were adjusted for potential confounding variables. RESULTS There were significant associations between having a child with an early history of rOM and the Affect Balance Scale of caregivers for the negative affects subscale at the three- (p < 0.001) and five- (p = 0.018) year follow-ups, and the Affect Balance subscale at the three-year (p = 0.007) and the five-year follow-ups (p = 0.047). There were no significant associations measured during the 8-year follow-up period for the FAD-GF. CONCLUSION The findings of this study further highlight the impact of caring for a child with rOM in early childhood on caregivers' psychological well-being in the first five years of a child's life. The impact, however, did not appear to influence the longer-term functioning of the family as a whole. LEVEL OF EVIDENCE 3 Laryngoscope, 134:1445-1449, 2024.
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Affiliation(s)
- Ali A H Altamimi
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
- Division of Paediatrics, Medical School, The University of Western Australia, Perth, Western Australia, Australia
- Faculty of Life Sciences, Kuwait University, Kuwait City, Kuwait
| | - Monique Robinson
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
| | - Eman M A Alenezi
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
- Division of Paediatrics, Medical School, The University of Western Australia, Perth, Western Australia, Australia
- Faculty of Allied Health Sciences, Kuwait University, Kuwait City, Kuwait
| | - Robyn S M Choi
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
- Department of Audiology, School of Human Sciences, The University of Western Australia, Perth, Western Australia, Crawley, Australia
| | - Christopher G Brennan-Jones
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
- Division of Paediatrics, Medical School, The University of Western Australia, Perth, Western Australia, Australia
- Department of Audiology, Perth Children's Hospital, Perth, Western Australia, Australia
- School of Allied Health, Faculty of Health Sciences, Curtin University, Perth, Western Australia, Australia
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Choudhary P, Ronkainen J, Carson J, Karhunen V, Lin A, Melton PE, Jarvelin MR, Miettunen J, Huang RC, Sebert S. Developmental origins of psycho-cardiometabolic multimorbidity in adolescence and their underlying pathways through methylation markers: a two-cohort study. Eur Child Adolesc Psychiatry 2024:10.1007/s00787-024-02390-1. [PMID: 38366065 DOI: 10.1007/s00787-024-02390-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 01/26/2024] [Indexed: 02/18/2024]
Abstract
Understanding the biological mechanisms behind multimorbidity patterns in adolescence is important as they may act as intermediary risk factor for long-term health. We aimed to explore relationship between prenatal exposures and adolescent's psycho-cardiometabolic intermediary traits mediated through epigenetic biomarkers, using structural equation modeling (SEM). We used data from mother-child dyads from pregnancy and adolescents at 16-17 years from two prospective cohorts: Northern Finland Birth Cohort 1986 (NFBC1986) and Raine Study from Australia. Factor analysis was applied to generate two different latent factor structures: (a) prenatal exposures and (b) adolescence psycho-cardiometabolic intermediary traits. Furthermore, three types of epigenetic biomarkers were included: (1) DNA methylation score for maternal smoking during pregnancy (DNAmMSS), (2) DNAm age estimate PhenoAge and (3) DNAm estimate for telomere length (DNAmTL). Similar factor structure was observed between both cohorts yielding three prenatal factors, namely BMI (Body Mass Index), SOP (Socio-Obstetric-Profile), and Lifestyle, and four adolescent factors: Anthropometric, Insulin-Triglycerides, Blood Pressure, and Mental health. In the SEM pathways, stronger direct effects of F1prenatal-BMI (NFBC1986 = β: 0.27; Raine = β: 0.39) and F2prenatal-SOP (β: -0.11) factors were observed on adolescent psycho-cardiometabolic multimorbidity. We observed an indirect effect of prenatal latent factors through epigenetic markers on a psycho-cardiometabolic multimorbidity factor in Raine study (P < 0.05). The present study exemplifies an evidence-based approach in two different birth cohorts to demonstrate similar composite structure of prenatal exposures and psycho-cardiometabolic traits (despite cultural, social, and genetic differences) and a common plausible pathway between them through underlying epigenetic markers.
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Affiliation(s)
- Priyanka Choudhary
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland.
| | - Justiina Ronkainen
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Jennie Carson
- Telethon Kids Institute, Perth, Australia
- School of Population and Global Health, University of Western Australia, Perth, Australia
| | - Ville Karhunen
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
- Research Unit of Mathematical Sciences, Faculty of Science, University of Oulu, Oulu, Finland
| | - Ashleigh Lin
- Telethon Kids Institute, Perth, Australia
- UWA Centre for Child Health Research, University of Western Australia, Perth, Australia
| | - Phillip E Melton
- School of Population and Global Health, University of Western Australia, Perth, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Marjo-Riitta Jarvelin
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College, London, UK
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, Kingston Lane, Uxbridge, Middlesex, UK
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Jouko Miettunen
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Rae-Chi Huang
- Telethon Kids Institute, Perth, Australia
- School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia
- Nutrition and Health Innovation Research Institute (NHIRI), School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia
| | - Sylvain Sebert
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
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Mahfouda S, Maybery M, Moore J, Perry Y, Strauss P, Zepf F, Lin A. Gender non-conformity in childhood and adolescence and mental health through to adulthood: a longitudinal cohort study, 1995-2018. Psychol Med 2023; 53:7756-7765. [PMID: 37403583 DOI: 10.1017/s0033291723001721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/06/2023]
Abstract
BACKGROUND Few studies have examined associations between gender non-conformity (GNC) in childhood or adolescence and mental health outcomes later in life. This study examined associations between (1) GNC and mental health over multiple time points in childhood and adolescence, and (2) GNC in childhood and/or adolescence and mental health in adulthood. METHOD Second generation participants from the Raine Study, a longitudinal cohort from Perth, Western Australia. Data were collected between 1995 and 2018, comprising seven waves: ages 5 (N = 2236), 8 (N = 2140), 10 (N = 2048), 14 (N = 1864), 17 (N = 1726), 22 (N = 1236) and 27 (N = 1190) years. History of GNC, v. absence of this history, was based on responses to item 110 from the Child Behaviour Checklist (CBCL)/Youth Self Report (YSR) ('wishes to be of opposite sex'). The CBCL/YSR were used to measure internalising and externalising symptoms. Items 18 ('deliberate self-harm [DSH] or attempts suicide') and 91 ('talks/thinks about killing self') were used as measures of suicidal ideation (SI) and DSH. For adults, Depression, Anxiety and Stress Subscales and Kessler Psychological Distress Scale assessed mental health. RESULTS Child and adolescent GNC was associated with elevated internalising and externalising behaviours and increased odds of DSH. A history of GNC was also associated with vulnerability for severe psychological distress in adulthood in some symptom scales. CONCLUSION GNC over the child and adolescent period is associated with significant emotional and behavioural difficulties, and psychological distress. A history of GNC in childhood and/or adolescence also predicts poorer mental health in adulthood on multiple symptom domains.
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Affiliation(s)
| | | | - Julia Moore
- Perth Children's Hospital, Nedlands, Australia
| | - Yael Perry
- Telethon Kids Institute, Nedlands, Australia
| | | | - Florian Zepf
- Department of Child and Adolescent Psychiatry, Psychosomatic Medicine and Psychotherapy, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany
- German Center for Mental Health (DZPG)
- Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Jena-Magdeburg-Halle, Germany
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Marino JL, Lin A, Davies C, Kang M, Bista S, Skinner SR. Childhood and Adolescence Gender Role Nonconformity and Gender and Sexuality Diversity in Young Adulthood. JAMA Pediatr 2023; 177:1176-1186. [PMID: 37747725 PMCID: PMC10520839 DOI: 10.1001/jamapediatrics.2023.3873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 08/02/2023] [Indexed: 09/26/2023]
Abstract
Importance Sexuality- and gender-diverse youth experience disproportionate health and social adversity. Accurate early-life indicators are important for development of supportive approaches. Objective To examine whether commonly used items measuring childhood conformity to gender roles are associated with sexual orientation in young adulthood. Design, Setting, and Participants This single-center, prospective cohort study (the Raine Study) assessed 2868 children of 2900 women who were recruited during pregnancy from August 1, 1989, to April 30, 1992, with follow-up ongoing. The Achenbach System of Empirically Based Assessment (ASEBA) Child Behavior Checklist, Teacher Report Form, and Youth Self-Report tools were used to survey parents, teachers, and youths to examine gender diversity among the participating youths. Parents were followed up at years 5, 8, 10, 14, and 17, adolescents at years 14, 17, and 27, and teachers at years 10 and 14. Data were analyzed from August 1, 2020, to July 31, 2023. Exposures Parent and teacher report that a child "behaves like the opposite sex" (gender role behavior), and parent and self-report that a child "wishes to be the opposite sex" (gender role wish), in response to assessment items. Main Outcome Measures Year 27 self-reported sexual identity, attraction, and behavior. Results Of the 2868 children in the original birth cohort, 1154 (40.2%) participated in the year 27 follow-up, of whom 608 (52.7%) were recorded female at birth and 546 (47.3%) were recorded male at birth. Of these, 582 who were recorded female at birth continued to identify as female (cisgender) (95.7%), and 515 recorded male at birth continued to identify as male (cisgender) (94.3%); 47 (4.1%) did not complete the questionnaire. Of cisgender participants, 76 of 605 women (12.6%) and 52 of 540 men (9.6%) had a diverse sexual identity, 204 of 605 women (33.8%) and 77 of 540 men (14.3%) were same-gender attracted, and 100 of 605 women (18.6%) and 39 of 540 men (7.2%) had ever engaged in same-gender sexual behavior. Across all follow-ups, after adjusting for gender, nonconforming gender role behavior was consistently associated with diverse sexual identity and behavior (adjusted odds ratio [aOR] for identity, 2.8; 95% CI, 1.9-4.2; behavior aOR, 2.4; 95% CI, 1.6-3.5). Self-reported gender role wish was consistently associated with diverse sexual orientation (identity aOR, 2.3; 95% CI, 1.4-3.8; attraction aOR, 1.7; 95% CI, 1.1-2.5; behavior aOR, 1.9; 95% CI, 1.2-2.9). Conclusions and Relevance In this cohort study, ASEBA gender role nonconformity was associated with diverse sexual orientation, beginning in early childhood. Findings suggest that the ASEBA measures should not be used to infer sexual orientation or gender diversity in clinical or research settings; asking direct questions may provide more accurate data.
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Affiliation(s)
- Jennifer L. Marino
- Department of Obstetrics and Gynaecology, Royal Women’s Hospital and University of Melbourne, Parkville, Victoria, Australia
- Centre for Adolescent Health, Murdoch Children’s Research Institute, Parkville, Victoria, Australia
| | - Ashleigh Lin
- Telethon Kids Institute, University of Western Australia, Perth, Western Australia, Australia
| | - Cristyn Davies
- Specialty of Child and Adolescent Health, Faculty of Medicine and Health, The University of Sydney, Westmead, New South Wales, Australia
| | - Melissa Kang
- Specialty of General Practice, Faculty of Medicine and Health, The University of Sydney, Westmead, New South Wales, Australia
| | - Sarita Bista
- Specialty of Child and Adolescent Health, Faculty of Medicine and Health, The University of Sydney, Westmead, New South Wales, Australia
| | - S. Rachel Skinner
- Specialty of Child and Adolescent Health, Faculty of Medicine and Health, The University of Sydney, Westmead, New South Wales, Australia
- The Children’s Hospital at Westmead, Westmead, New South Wales, Australia
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9
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Yadav A, Beilin LJ, Huang RC, Newnham JP, White SW, Mori TA. Fetal Growth Trajectories and Measures of Insulin Resistance in Young Adults. J Clin Endocrinol Metab 2023; 108:e861-e870. [PMID: 37246587 PMCID: PMC10656704 DOI: 10.1210/clinem/dgad292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 05/05/2023] [Accepted: 05/26/2023] [Indexed: 05/30/2023]
Abstract
CONTEXT Events during gestation greatly influence the risk of cardiometabolic diseases including diabetes in offspring during later life. OBJECTIVE This study aimed to investigate relationships between serial ultrasound-derived fetal growth trajectories and markers of insulin resistance in young adults in the Raine Study, an Australian pregnancy cohort. METHODS Linear mixed modeling examined the relationship between fetal growth trajectory groups, constructed using serial ultrasound-based abdominal circumference (AC), femur length (FL), and head circumference (HC) from 1333 mother-fetal pairs, and offspring Homeostatic Model Assessment of Insulin Resistance (HOMA-IR), as a marker of diabetes risk, at 20 (n = 414), 22 (n = 385), and 27 (n = 431) years. Analyses were adjusted for age, sex, ethnicity, socioeconomic status, adult lifestyle factors, and maternal factors during pregnancy. RESULTS The study identified 7 AC, 5 FL, and 5 HC growth trajectory groups. Compared to the average-stable (reference) group, a low-falling AC growth trajectory (26%; P = .005) and 2 low HC growth trajectories (20%; P = .006% and 8%; P = .021) were associated with higher adult HOMA-IR. Trajectories representing a high-stable FL and a rising HC were associated with 12% (P = .002) and 9% (P = .021) lower adult HOMA-IR, respectively, compared to the reference group. CONCLUSION Restricted fetal HC and AC from early pregnancy are associated with higher relative insulin resistance in the offspring during adulthood. These data strengthen our understanding of the importance of the intrauterine environment and its effect on the risk of predisposition to adult diabetes and related metabolic disorders.
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Affiliation(s)
- Ashish Yadav
- UWA Medical School, University of Western Australia, Perth, 6009 WA, Australia
| | - Lawrence J Beilin
- UWA Medical School, University of Western Australia, Perth, 6009 WA, Australia
| | - Rae-Chi Huang
- Nutrition Health Innovation Research Institute, Edith Cowan University, Perth, 6027 WA, Australia
| | - John P Newnham
- Division of Obstetrics and Gynaecology, University of Western Australia, Perth, 6009 WA, Australia
| | - Scott W White
- Division of Obstetrics and Gynaecology, University of Western Australia, Perth, 6009 WA, Australia
| | - Trevor A Mori
- UWA Medical School, University of Western Australia, Perth, 6009 WA, Australia
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10
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Lussier AA, Zhu Y, Smith BJ, Cerutti J, Fisher J, Melton PE, Wood NM, Cohen-Woods S, Huang RC, Mitchell C, Schneper L, Notterman DA, Simpkin AJ, Smith ADAC, Suderman MJ, Walton E, Relton CL, Ressler KJ, Dunn EC. Association between the timing of childhood adversity and epigenetic patterns across childhood and adolescence: findings from the Avon Longitudinal Study of Parents and Children (ALSPAC) prospective cohort. THE LANCET. CHILD & ADOLESCENT HEALTH 2023; 7:532-543. [PMID: 37327798 PMCID: PMC10527482 DOI: 10.1016/s2352-4642(23)00127-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 04/14/2023] [Accepted: 04/24/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Childhood adversity is a potent determinant of health across development and is associated with altered DNA methylation signatures, which might be more common in children exposed during sensitive periods in development. However, it remains unclear whether adversity has persistent epigenetic associations across childhood and adolescence. We aimed to examine the relationship between time-varying adversity (defined through sensitive period, accumulation of risk, and recency life course hypotheses) and genome-wide DNA methylation, measured three times from birth to adolescence, using data from a prospective, longitudinal cohort study. METHODS We first investigated the relationship between the timing of exposure to childhood adversity between birth and 11 years and blood DNA methylation at age 15 years in the Avon Longitudinal Study of Parents and Children (ALSPAC) prospective cohort study. Our analytic sample included ALSPAC participants with DNA methylation data and complete childhood adversity data between birth and 11 years. We analysed seven types of adversity (caregiver physical or emotional abuse, sexual or physical abuse [by anyone], maternal psychopathology, one-adult households, family instability, financial hardship, and neighbourhood disadvantage) reported by mothers five to eight times between birth and 11 years. We used the structured life course modelling approach (SLCMA) to identify time-varying associations between childhood adversity and adolescent DNA methylation. Top loci were identified using an R2 threshold of 0·035 (ie, ≥3·5% of DNA methylation variance explained by adversity). We attempted to replicate these associations using data from the Raine Study and Future of Families and Child Wellbeing Study (FFCWS). We also assessed the persistence of adversity-DNA methylation associations we previously identified from age 7 blood DNA methylation into adolescence and the influence of adversity on DNA methylation trajectories from ages 0-15 years. FINDINGS Of 13 988 children in the ALSPAC cohort, 609-665 children (311-337 [50-51%] boys and 298-332 [49-50%] girls) had complete data available for at least one of the seven childhood adversities and DNA methylation at 15 years. Exposure to adversity was associated with differences in DNA methylation at 15 years for 41 loci (R2 ≥0·035). Sensitive periods were the most often selected life course hypothesis by the SLCMA. 20 (49%) of 41 loci were associated with adversities occurring between age 3 and 5 years. Exposure to one-adult households was associated with differences in DNA methylation at 20 [49%] of 41 loci, exposure to financial hardship was associated with changes at nine (22%) loci, and physical or sexual abuse was associated with changes at four (10%) loci. We replicated the direction of associations for 18 (90%) of 20 loci associated with exposure to one-adult household using adolescent blood DNA methylation from the Raine Study and 18 (64%) of 28 loci using saliva DNA methylation from the FFCWS. The directions of effects for 11 one-adult household loci were replicated in both cohorts. Differences in DNA methylation at 15 years were not present at 7 years and differences identified at 7 years were no longer apparent by 15 years. We also identified six distinct DNA methylation trajectories from these patterns of stability and persistence. INTERPRETATION These findings highlight the time-varying effect of childhood adversity on DNA methylation profiles across development, which might link exposure to adversity to potential adverse health outcomes in children and adolescents. If replicated, these epigenetic signatures could ultimately serve as biological indicators or early warning signs of initiated disease processes, helping identify people at greater risk for the adverse health consequences of childhood adversity. FUNDING Canadian Institutes of Health Research, Cohort and Longitudinal Studies Enhancement Resources, EU's Horizon 2020, US National Institute of Mental Health.
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Affiliation(s)
- Alexandre A Lussier
- Psychiatric and Neurodevelopmental Genetics Unit, Centre for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Harvard University, Boston, MA, USA; Stanley Center for Psychiatric Research, The Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA, USA.
| | - Yiwen Zhu
- Psychiatric and Neurodevelopmental Genetics Unit, Centre for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Department of Epidemiology, Harvard T H Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Brooke J Smith
- Psychiatric and Neurodevelopmental Genetics Unit, Centre for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Janine Cerutti
- Psychiatric and Neurodevelopmental Genetics Unit, Centre for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Jonah Fisher
- Institute for Social Research, University of Michigan, Ann Abor, MI, USA
| | - Phillip E Melton
- School of Population and Global Health, University of Western Australia, Crawley, WA, Australia; Menzies Research Institute, University of Tasmania, Hobart, TAS, Australia
| | - Natasha M Wood
- College of Education, Psychology, and Social Work, Flinders University, Adelaide, SA, Australia
| | - Sarah Cohen-Woods
- College of Education, Psychology, and Social Work, Flinders University, Adelaide, SA, Australia; Flinders Institute for Mental Health and Wellbeing, Flinders University, Adelaide, SA, Australia; Flinders Centre for Innovation in Cancer, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia
| | - Rae-Chi Huang
- Nutrition Health Innovation Research Institute, Edith Cowan University, Perth, WA, Australia
| | - Colter Mitchell
- Institute for Social Research, University of Michigan, Ann Abor, MI, USA
| | - Lisa Schneper
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Daniel A Notterman
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Andrew J Simpkin
- School of Mathematical and Statistical Sciences, University of Galway, Galway, Ireland
| | - Andrew D A C Smith
- Mathematics and Statistics Research Group, University of the West of England, Bristol, UK
| | - Matthew J Suderman
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Esther Walton
- Department of Psychology, University of Bath, Bath, UK
| | - Caroline L Relton
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Kerry J Ressler
- Department of Psychiatry, Harvard Medical School, Harvard University, Boston, MA, USA; Department of Psychiatry, McLean Hospital, Belmont, MA, USA
| | - Erin C Dunn
- Psychiatric and Neurodevelopmental Genetics Unit, Centre for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Harvard University, Boston, MA, USA; Center on the Developing Child, Harvard University, Boston, MA, USA; Stanley Center for Psychiatric Research, The Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA, USA.
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11
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Abbondanza F, Dale PS, Wang CA, Hayiou‐Thomas ME, Toseeb U, Koomar TS, Wigg KG, Feng Y, Price KM, Kerr EN, Guger SL, Lovett MW, Strug LJ, van Bergen E, Dolan CV, Tomblin JB, Moll K, Schulte‐Körne G, Neuhoff N, Warnke A, Fisher SE, Barr CL, Michaelson JJ, Boomsma DI, Snowling MJ, Hulme C, Whitehouse AJO, Pennell CE, Newbury DF, Stein J, Talcott JB, Bishop DVM, Paracchini S. Language and reading impairments are associated with increased prevalence of non-right-handedness. Child Dev 2023; 94:970-984. [PMID: 36780127 PMCID: PMC10330064 DOI: 10.1111/cdev.13914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Revised: 12/09/2022] [Accepted: 12/12/2022] [Indexed: 02/14/2023]
Abstract
Handedness has been studied for association with language-related disorders because of its link with language hemispheric dominance. No clear pattern has emerged, possibly because of small samples, publication bias, and heterogeneous criteria across studies. Non-right-handedness (NRH) frequency was assessed in N = 2503 cases with reading and/or language impairment and N = 4316 sex-matched controls identified from 10 distinct cohorts (age range 6-19 years old; European ethnicity) using a priori set criteria. A meta-analysis (Ncases = 1994) showed elevated NRH % in individuals with language/reading impairment compared with controls (OR = 1.21, CI = 1.06-1.39, p = .01). The association between reading/language impairments and NRH could result from shared pathways underlying brain lateralization, handedness, and cognitive functions.
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Affiliation(s)
| | - Philip S. Dale
- Department of Speech and Hearing SciencesUniversity of New MexicoAlbuquerqueNew MexicoUSA
| | - Carol A. Wang
- School of Medicine and Public HealthUniversity of NewcastleCallaghanNew South WalesAustralia
| | | | - Umar Toseeb
- Department of EducationUniversity of YorkYorkUK
| | | | - Karen G. Wigg
- Division of Experimental and Translational Neuroscience, Krembil Research InstituteUniversity Health NetworkTorontoOntarioCanada
| | - Yu Feng
- Division of Experimental and Translational Neuroscience, Krembil Research InstituteUniversity Health NetworkTorontoOntarioCanada
| | - Kaitlyn M. Price
- Division of Experimental and Translational Neuroscience, Krembil Research InstituteUniversity Health NetworkTorontoOntarioCanada
- Program in Neuroscience and Mental HealthHospital for Sick ChildrenTorontoOntarioCanada
- Department of PhysiologyUniversity of TorontoTorontoOntarioCanada
| | - Elizabeth N. Kerr
- Department of PaediatricsUniversity of TorontoTorontoOntarioCanada
- Department of PsychologyHospital for Sick ChildrenTorontoOntarioCanada
| | - Sharon L. Guger
- Department of PsychologyHospital for Sick ChildrenTorontoOntarioCanada
| | - Maureen W. Lovett
- Program in Neuroscience and Mental HealthHospital for Sick ChildrenTorontoOntarioCanada
- Department of PaediatricsUniversity of TorontoTorontoOntarioCanada
| | - Lisa J. Strug
- Genetics and Genome BiologyHospital for Sick ChildrenTorontoOntarioCanada
- Dalla Lana School of Public HealthUniversity of TorontoTorontoOntarioCanada
| | - Elsje van Bergen
- Department of Biological PsychologyVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Conor V. Dolan
- Department of Biological PsychologyVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | | | - Kristina Moll
- Department of Child and Adolescent Psychiatry, Psychotherapy and PsychosomaticsLudwig‐Maximilians‐University Hospital MunichMunchenGermany
| | - Gerd Schulte‐Körne
- Department of Child and Adolescent Psychiatry, Psychotherapy and PsychosomaticsLudwig‐Maximilians‐University Hospital MunichMunchenGermany
| | - Nina Neuhoff
- Department of Child and Adolescent Psychiatry, Psychotherapy and PsychosomaticsLudwig‐Maximilians‐University Hospital MunichMunchenGermany
| | | | - Simon E. Fisher
- Language and Genetics DepartmentMax Planck Institute for PsycholinguisticsNijmegenThe Netherlands
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenThe Netherlands
| | - Cathy L. Barr
- Division of Experimental and Translational Neuroscience, Krembil Research InstituteUniversity Health NetworkTorontoOntarioCanada
- Program in Neuroscience and Mental HealthHospital for Sick ChildrenTorontoOntarioCanada
- Department of PhysiologyUniversity of TorontoTorontoOntarioCanada
| | | | - Dorret I. Boomsma
- Department of Biological PsychologyVrije Universiteit AmsterdamAmsterdamThe Netherlands
| | | | | | | | - Craig E. Pennell
- School of Medicine and Public HealthUniversity of NewcastleCallaghanNew South WalesAustralia
| | - Dianne F. Newbury
- Department of Biological and Medical SciencesOxford Brookes UniversityOxfordUK
| | - John Stein
- Department of PhysiologyUniversity of OxfordOxfordUK
| | - Joel B. Talcott
- Aston Brain Center, School of Life and Health SciencesAston UniversityBirminghamUK
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12
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Yang J, Gwini SM, Beilin LJ, Schlaich M, Stowasser M, Young MJ, Fuller PJ, Mori TA. Effect of Oral Contraception on Screening Tests for Primary Aldosteronism: A 10-Year Longitudinal Study. J Clin Endocrinol Metab 2023; 108:1686-1695. [PMID: 36633572 DOI: 10.1210/clinem/dgad010] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 01/05/2023] [Accepted: 01/06/2023] [Indexed: 01/13/2023]
Abstract
CONTEXT Primary aldosteronism (PA) and oral contraception (OC) can both cause hypertension in young women. However, the effect of OC on the screening test for PA, the aldosterone to renin ratio (ARR), is not clear. OBJECTIVE We evaluated the impact of OC on the screening test for PA. METHODS In this retrospective cohort study, we analyzed data from the female offspring (Gen2) of women enrolled in the Raine Study, a population-based birth cohort, who had blood pressure (BP) measurements, blood samples, and information about OC use at age 17 years (N = 484) and/or age 27 years (N = 486). RESULTS Aldosterone concentration was significantly higher in OC users than nonusers at 17 years (median 486 pmol/L vs 347 pmol/L, P < 0.001). Renin concentration was significantly lower in OC users at both 17 years (13.4 mU/L vs 20.6 mU/L) and 27 years (9.2 mU/L vs 11.8 mU/L), hence the ARR was significantly higher in OC users compared to nonusers at both 17 years (31.5 vs 18.3) and 27 years (27.3 vs 21.1). The proportion of participants with ARR > 70 pmol/mU (current threshold for PA detection) was significantly higher in OC users at both 17 years (12.6% vs 2.1%) and 27 years (6.4% vs 0.4%); however, they had comparable BP to those with ARR < 70. OC use at any age abolished the relationship between ARR and BP that is observed in nonusers. CONCLUSION OC can increase the ARR and cause a false positive PA screening result. Until more reliable criteria for PA screening in OC users are established, alternative contraception should be considered during screening.
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Affiliation(s)
- Jun Yang
- Centre for Endocrinology and Metabolism, Hudson Institute of Medical Research, Clayton, Victoria 3168, Australia
- Department of Medicine, Monash University, Clayton, Victoria 3168, Australia
| | - Stella May Gwini
- Department of Biostatistics, University Hospital Geelong, Barwon Health, Victoria 3220, Australia
- Biostatistics Unit, Division of Research Methodology, School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria 3168, Australia
| | - Lawrence J Beilin
- Medical School, The University of Western Australia, Crawley, Western Australia 6009, Australia
| | - Markus Schlaich
- Dobney Hypertension Centre, Medical School, The University of Western Australia - Royal Perth Hospital Campus, Perth, Western Australia 6000, Australia
- Departments of Cardiology and Nephrology, Royal Perth Hospital, Perth 6000, Australia
- Neurovascular Hypertension & Kidney Disease Laboratory, Baker Heart and Diabetes Institute, Victoria 3004, Australia
| | - Michael Stowasser
- Endocrine Hypertension Research Centre, University of Queensland Diamantina Institute, Princess Alexandra Hospital, Brisbane 4102, Australia
| | - Morag J Young
- Cardiovascular Endocrinology Laboratory, Baker Heart and Diabetes Institute, Melbourne, Victoria 3004, Australia
| | - Peter J Fuller
- Centre for Endocrinology and Metabolism, Hudson Institute of Medical Research, Clayton, Victoria 3168, Australia
| | - Trevor A Mori
- Medical School, The University of Western Australia, Crawley, Western Australia 6009, Australia
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13
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Altamimi AAH, Robinson M, McKinnon EJ, Alenezi EMA, Veselinović T, Choi RSM, Brennan-Jones CG. The association between otitis media in early childhood with later behaviour and attention problems: A longitudinal pregnancy cohort. Int J Pediatr Otorhinolaryngol 2023; 168:111545. [PMID: 37043962 DOI: 10.1016/j.ijporl.2023.111545] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 03/09/2023] [Accepted: 04/02/2023] [Indexed: 04/14/2023]
Abstract
OBJECTIVES The present study aims to investigate the association between an early history of recurrent otitis media (OM) with or without ventilation tube insertion (VTI) and later behavioural problems in childhood and adolescence. METHODS Parental reports in a longitudinal pregnancy cohort were used to classify children into three groups; recurrent OM without VTI (rOM group; n = 276), recurrent OM with VTI (VTI group; n = 62), and no history of early-life recurrent OM as a reference group (n = 1485). The Child Behaviour Checklist (CBCL) was administered at ages 5, 8, 10, and 13 years and data were analysed for psychological wellbeing. Mixed-effects regression modelling was used to investigate the associations between a history of rOM and CBCL T-scores across all ages for rOM and VTI groups compared to the reference group. All analyses were controlled for a wide range of confounding variables. RESULTS The analyses revealed a significant association between recurrent OM and behavioural problems. While there was a general decline in scores (i.e. improvement) observed over the duration of the follow-up period, children in the rOM group displayed significantly higher scores for internalising and externalising behaviours at ages five, eight and 10 years. Attention scores were significantly higher across all ages in the rOM group. A transient increase in internalising behaviour was observed in the VTI group at ages eight and 10 years. Logistic regression models showed an increased overall likelihood for the rOM group only to fall within the abnormal clinical range for internalising and externalising behaviours. CONCLUSION Early-life recurrent OM with and without VTI was associated with increased behavioural and attention problems in early and late childhood. This suggests that recurrent OM can have a significant impact on children's behaviour and attention that can persist into early adolescence.
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Affiliation(s)
- Ali A H Altamimi
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia; The University of Western Australia, Perth, Western Australia, Australia; Faculty of Life Sciences, Kuwait University, Kuwait.
| | - Monique Robinson
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
| | - Elizabeth J McKinnon
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
| | - Eman M A Alenezi
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia; The University of Western Australia, Perth, Western Australia, Australia; Faculty of Allied Health Sciences, Kuwait University, Kuwait
| | - Tamara Veselinović
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia; The University of Western Australia, Perth, Western Australia, Australia
| | - Robyn S M Choi
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia; The University of Western Australia, Perth, Western Australia, Australia
| | - Christopher G Brennan-Jones
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia; The University of Western Australia, Perth, Western Australia, Australia; Perth Children's Hospital, Perth, Western Australia, Australia; School of Allied Health, Faculty of Health Sciences, Curtin University, Perth, Western Australia, Australia
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14
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Florian S, Ichou M, Panico L, Pinel-Jacquemin S, Vrijkotte TGM, Harskamp-van Ginkel MW, Huang RC, Carson J, Rodriguez LSM, Subiza-Pérez M, Vrijheid M, Fernández-Barrés S, Yang TC, Wright J, Corpeleijn E, Cardol M, Isaevska E, Moccia C, Kooijman MN, Voerman E, Jaddoe V, Welten M, Spada E, Rebagliato M, Beneito A, Ronfani L, Charles MA. Differences in birth weight between immigrants' and natives' children in Europe and Australia: a LifeCycle comparative observational cohort study. BMJ Open 2023; 13:e060932. [PMID: 36958776 PMCID: PMC10040079 DOI: 10.1136/bmjopen-2022-060932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 02/17/2023] [Indexed: 03/25/2023] Open
Abstract
OBJECTIVE Research on adults has identified an immigrant health advantage, known as the 'immigrant health paradox', by which migrants exhibit better health outcomes than natives. Is this health advantage transferred from parents to children in the form of higher birth weight relative to children of natives? SETTING Western Europe and Australia. PARTICIPANTS We use data from nine birth cohorts participating in the LifeCycle Project, including five studies with large samples of immigrants' children: Etude Longitudinale Française depuis l'Enfance-France (N=12 494), the Raine Study-Australia (N=2283), Born in Bradford-UK (N=4132), Amsterdam Born Children and their Development study-Netherlands (N=4030) and the Generation R study-Netherlands (N=4877). We include male and female babies born to immigrant and native parents. PRIMARY AND SECONDARY OUTCOME MEASURES The primary outcome is birth weight measured in grams. Different specifications were tested: birth weight as a continuous variable including all births (DV1), the same variable but excluding babies born with over 4500 g (DV2), low birth weight as a 0-1 binary variable (1=birth weight below 2500 g) (DV3). Results using these three measures were similar, only results using DV1 are presented. Parental migration status is measured in four categories: both parents natives, both born abroad, only mother born abroad and only father born abroad. RESULTS Two patterns in children's birth weight by parental migration status emerged: higher birth weight among children of immigrants in France (+12 g, p<0.10) and Australia (+40 g, p<0.10) and lower birth weight among children of immigrants in the UK (-82 g, p<0.05) and the Netherlands (-80 g and -73 g, p<0.001) compared with natives' children. Smoking during pregnancy emerged as a mechanism explaining some of the birth weight gaps between children of immigrants and natives. CONCLUSION The immigrant health advantage is not universally transferred to children in the form of higher birth weight in all host countries. Further research should investigate whether this cross-national variation is due to differences in immigrant communities, social and healthcare contexts across host countries.
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Affiliation(s)
- Sandra Florian
- French National Institute for Demographic Studies, INED, Paris, France
| | - Mathieu Ichou
- French National Institute for Demographic Studies, INED, Paris, France
| | - Lidia Panico
- French National Institute for Demographic Studies, INED, Paris, France
- Centre for Research on Social Inequalities (CRIS), Sciences Po, Paris, France
| | | | - Tanja G M Vrijkotte
- Department of Public Occupational Health, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health Research Institute, Reproduction and Development Research Institute, Amsterdam, The Netherlands
| | - Margreet W Harskamp-van Ginkel
- Department of Public Occupational Health, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health Research Institute, Reproduction and Development Research Institute, Amsterdam, The Netherlands
| | - Rae-Chi Huang
- Nutrition and Health Innovation Research Institute, Edith Cowan University School of Medical and Health Sciences, Perth, Western Australia, Australia
| | - Jennie Carson
- Telethon Kids Institute, School of Population and Global Health, University of Western Australia, Perth, Western Australia, Australia
| | - Loreto Santa Marina Rodriguez
- Sub Directorate for Public Health and Addictions of Gipuzkoa, Ministry of Health of the Basque Government, San Sebastián, Spain
- Group of Environmental Epidemiology and Child Development, Biodonostia Health Research Institute, San Sebastián, Spain
| | - Mikel Subiza-Pérez
- Group of Environmental Epidemiology and Child Development, Biodonostia Health Research Institute, San Sebastián, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Martine Vrijheid
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- ISGlobal, Barcelona, Spain
| | | | - Tiffany C Yang
- Bradford Teaching Hospitals NHS Foundation Trust, Bradford Institute for Health Research, Bradford, UK
| | - John Wright
- Bradford Teaching Hospitals NHS Foundation Trust, Bradford Institute for Health Research, Bradford, UK
| | - Eva Corpeleijn
- Department of Epidemiology, GECKO Drenthe Cohort, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Marloes Cardol
- Department of Epidemiology, GECKO Drenthe Cohort, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Elena Isaevska
- Dipartimento di Scienze Mediche, Universita degli Studi di Torino, Torino, Italy
| | - Chiara Moccia
- Department of Medical Sciences, University of Turin, Torino, Italy
| | - Marjolein N Kooijman
- The Generation R Study Group, University Medical Center, Erasmus Medical Center, Rotterdam, The Netherlands
- University Medical Center, Erasmus Medical Center Department of General Pediatrics, Rotterdam, The Netherlands
| | - Ellis Voerman
- The Generation R Study Group, University Medical Center, Erasmus Medical Center, Rotterdam, The Netherlands
- University Medical Center, Erasmus Medical Center Department of General Pediatrics, Rotterdam, The Netherlands
| | - Vincent Jaddoe
- The Generation R Study Group, University Medical Center, Erasmus Medical Center, Rotterdam, The Netherlands
- University Medical Center, Erasmus Medical Center Department of General Pediatrics, Rotterdam, The Netherlands
| | - Marieke Welten
- The Generation R Study Group, University Medical Center, Erasmus Medical Center, Rotterdam, The Netherlands
- University Medical Center, Erasmus Medical Center Department of General Pediatrics, Rotterdam, The Netherlands
| | - Elena Spada
- Unit of Epidemiology, Meyer Children's University Hospital, Florence, Italy
| | - Marisa Rebagliato
- Predepartamental Unit of Medicine, Universitat Jaume I, Castello de la Plana, Comunitat Valenciana, Spain
- CIBERESP, Madrid, Spain
| | - Andrea Beneito
- Joint Research Unit in Epidemiology, Environment and Health, FISABIO, Valencia, Spain
| | - Luca Ronfani
- Clinical Epidemiology and Public Health Research Unit, Istituto di Ricovero e Cura a Carattere Scientifico materno infantile Burlo Garofolo, Trieste, Italy
| | - Marie-Aline Charles
- Inserm and INED Joint Research Group, Paris, France
- Université Paris Cité, Inserm, Inrae, Cress, Paris, France
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15
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Foong RE, Franklin P, Sanna F, Hall GL, Sly PD, Thorstensen EB, Doherty DA, Keelan JA, Hart RJ. Longitudinal effects of prenatal exposure to plastic-derived chemicals and their metabolites on asthma and lung function from childhood into adulthood. Respirology 2023; 28:236-246. [PMID: 36184579 PMCID: PMC10946907 DOI: 10.1111/resp.14386] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Accepted: 09/12/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND OBJECTIVE Environmental exposure to phthalates and bisphenol A (BPA), chemicals used in the production of plastics, may increase risk for asthma and allergies. However, little is known about the long-term effects of early life exposure to these compounds. We investigated if prenatal exposure to these compounds was associated with asthma, allergy and lung function outcomes from early childhood into adulthood in a cohort study. METHODS Maternal serum samples collected from 846 pregnant women in the Raine Study were assayed for BPA and phthalate metabolites. The children of these women were followed up at 5, 13 and 22 years where spirometry and respiratory questionnaires were conducted to determine asthma and allergy status. Lung function trajectories were derived from longitudinal spirometry measurements. Multinomial logistic regression and weighted quantile sum regression was used to test associations of individual and chemical mixtures with asthma phenotypes and lung function trajectories. RESULTS Effects of prenatal BPA and phthalates on asthma phenotypes were seen in male offspring, where BPA was associated with increased risk for persistent asthma, while mono-iso-butyl phthalate and mono-iso-decyl phthalate was associated with increased risk for adult asthma. Prenatal BPA had no effect on lung function trajectories, but prenatal phthalate exposure was associated with improved lung function. CONCLUSION Prenatal BPA exposure was associated with increased likelihood of persistent asthma in males, while prenatal phthalate exposure was associated with increased likelihood of adult asthma in males. Results suggest that prenatal exposure to prenatal BPA and phthalates affect asthma risk, particularly in males, however lung function was not adversely affected.
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Affiliation(s)
- Rachel E. Foong
- Wal‐Yan Centre for Respiratory ResearchTelethon Kids InstitutePerthWestern AustraliaAustralia
- School of Allied HealthCurtin UniversityPerthWestern AustraliaAustralia
| | - Peter Franklin
- School of Population HealthUniversity of Western AustraliaPerthWestern AustraliaAustralia
| | - Francesca Sanna
- Wal‐Yan Centre for Respiratory ResearchTelethon Kids InstitutePerthWestern AustraliaAustralia
| | - Graham L. Hall
- Wal‐Yan Centre for Respiratory ResearchTelethon Kids InstitutePerthWestern AustraliaAustralia
- School of Allied HealthCurtin UniversityPerthWestern AustraliaAustralia
| | - Peter D. Sly
- Child Health Research CentreThe University of QueenslandSouth BrisbaneQueenslandAustralia
| | | | - Dorota A. Doherty
- Women and Infants Research FoundationKing Edward Memorial HospitalPerthWestern AustraliaAustralia
- Division of Obstetrics and GynaecologyUniversity of Western AustraliaPerthWestern AustraliaAustralia
| | - Jeffrey A. Keelan
- Women and Infants Research FoundationKing Edward Memorial HospitalPerthWestern AustraliaAustralia
- School of Biomedical SciencesUniversity of Western AustraliaPerthWestern AustraliaAustralia
| | - Roger J. Hart
- Women and Infants Research FoundationKing Edward Memorial HospitalPerthWestern AustraliaAustralia
- Division of Obstetrics and GynaecologyUniversity of Western AustraliaPerthWestern AustraliaAustralia
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Quarato CMI, Lacedonia D, Salvemini M, Tuccari G, Mastrodonato G, Villani R, Fiore LA, Scioscia G, Mirijello A, Saponara A, Sperandeo M. A Review on Biological Effects of Ultrasounds: Key Messages for Clinicians. Diagnostics (Basel) 2023; 13:855. [PMID: 36899998 PMCID: PMC10001275 DOI: 10.3390/diagnostics13050855] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 02/18/2023] [Accepted: 02/21/2023] [Indexed: 02/25/2023] Open
Abstract
Ultrasound (US) is acoustic energy that interacts with human tissues, thus, producing bioeffects that may be hazardous, especially in sensitive organs (i.e., brain, eye, heart, lung, and digestive tract) and embryos/fetuses. Two basic mechanisms of US interaction with biological systems have been identified: thermal and non-thermal. As a result, thermal and mechanical indexes have been developed to provide a means of assessing the potential for biological effects from exposure to diagnostic US. The main aims of this paper were to describe the models and assumptions used to estimate the "safety" of acoustic outputs and indices and to summarize the current state of knowledge about US-induced effects on living systems deriving from in vitro models and in vivo experiments on animals. This review work has made it possible to highlight the limits associated with the use of the estimated safety values of thermal and mechanical indices relating above all to the use of new US technologies, such as contrast-enhanced ultrasound (CEUS) and acoustic radiation force impulse (ARFI) shear wave elastography (SWE). US for diagnostic and research purposes has been officially declared safe, and no harmful biological effects in humans have yet been demonstrated with new imaging modalities; however, physicians should be adequately informed on the potential risks of biological effects. US exposure, according to the ALARA (As Low As Reasonably Achievable) principle, should be as low as reasonably possible.
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Affiliation(s)
- Carla Maria Irene Quarato
- Department of Medical and Surgical Sciences, Institute of Respiratory Diseases, Policlinico Universitario “Riuniti” di Foggia, University of Foggia, 71122 Foggia, Italy
| | - Donato Lacedonia
- Department of Medical and Surgical Sciences, Institute of Respiratory Diseases, Policlinico Universitario “Riuniti” di Foggia, University of Foggia, 71122 Foggia, Italy
| | - Michela Salvemini
- Department of Medical and Surgical Sciences, Institute of Respiratory Diseases, Policlinico Universitario “Riuniti” di Foggia, University of Foggia, 71122 Foggia, Italy
| | - Giulia Tuccari
- Department of Medical and Surgical Sciences, Institute of Geriatric, Policlinico Universitario “Riuniti” di Foggia, University of Foggia, 71122 Foggia, Italy
| | - Grazia Mastrodonato
- Department of Basic Medical Science, Neuroscience and Sensory Organs, Institute of Sports Medicine, University “Aldo Moro” of Bari, 70122 Bari, Italy
| | - Rosanna Villani
- Department of Medical and Surgical Sciences, Institute of Internal Medicine, Liver Unit, Policlinico Universitario “Riuniti” di Foggia, University of Foggia, 71122 Foggia, Italy
| | - Lucia Angela Fiore
- Department of Medical and Surgical Sciences, Institute of Geriatric, Policlinico Universitario “Riuniti” di Foggia, University of Foggia, 71122 Foggia, Italy
| | - Giulia Scioscia
- Department of Medical and Surgical Sciences, Institute of Respiratory Diseases, Policlinico Universitario “Riuniti” di Foggia, University of Foggia, 71122 Foggia, Italy
| | - Antonio Mirijello
- Department of Internal of Medicine, IRCCS Fondazione Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, Italy
| | | | - Marco Sperandeo
- Unit of Interventional and Diagnostic Ultrasound of Internal Medicine, IRCCS Fondazione Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, Italy
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Alenezi EMA, Robinson M, Choi RSM, Veselinović T, Richmond PC, Eikelboom RH, Brennan-Jones CG. Long-term follow-up after recurrent otitis media and ventilation tube insertion: Hearing outcomes and middle-ear health at six years of age. Int J Pediatr Otorhinolaryngol 2022; 163:111379. [PMID: 36401909 DOI: 10.1016/j.ijporl.2022.111379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 10/20/2022] [Accepted: 11/05/2022] [Indexed: 11/10/2022]
Abstract
OBJECTIVES To investigate the long-term impact of recurrent otitis media (rOM) and ventilation tube insertion (VTI) in early childhood on hearing outcomes and middle-ear health three to five years later, in a prospective pregnancy cohort study. METHODS Children were classified into rOM (n = 314), VTI (n = 94), and reference (n = 1735) groups, according to their otitis media (OM) history in their first three years of life. Audiometry at frequencies 500 Hz, 1000 Hz, 2000 Hz, and 4000 Hz, and tympanometry were performed when children were approximately six years of age. RESULTS A binary logistic regression incorporating a range of potential confounding variables showed that hearing outcomes and middle-ear health status in children who had early childhood rOM with or without undergoing VTI were not significantly different to those in the reference group. The only significant difference was found in the VTI group for both tympanometry (OR = 2.190; 95% CI = 1.123, 4.270) and audiometry outcomes at 4000 Hz (OR = 3.202; 95% CI 1.341, 6.717), in the left ear only. The median score of the better ear 4FA was 20 dB in children in all groups. CONCLUSION Children with rOM with or without undergoing VTI in the first three years of childhood had comparable hearing outcomes and middle-ear health status to those with no history of the disease, at around the age of six years. Although children who underwent VTI had an increased risk of abnormal middle-ear status and some elevation in hearing levels in their left ear only, their audiometry results were still within normal limits, indicating that the impact of VTI in early childhood is unlikely to have clinically significant adverse impact on later hearing outcomes.
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Affiliation(s)
- Eman M A Alenezi
- Faculty of Allied Health Sciences, Kuwait University, Kuwait; The University of Western Australia, Perth, Western Australia, Australia; Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia.
| | - Monique Robinson
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
| | - Robyn S M Choi
- The University of Western Australia, Perth, Western Australia, Australia; Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
| | - Tamara Veselinović
- The University of Western Australia, Perth, Western Australia, Australia; Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
| | - Peter C Richmond
- The University of Western Australia, Perth, Western Australia, Australia; Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia; Perth Children's Hospital, Perth, Western Australia, Australia
| | - Robert H Eikelboom
- Faculty of Health Sciences, Curtin University, Perth, Western Australia, Australia; Ear Science Institute Australia, Subiaco, Western Australia, Australia; Centre for Ear Sciences, The University of Western Australia, Nedlands, Western Australia, Australia; Department of Speech Language Pathology and Audiology, University of Pretoria, South Africa
| | - Christopher G Brennan-Jones
- The University of Western Australia, Perth, Western Australia, Australia; Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia; Perth Children's Hospital, Perth, Western Australia, Australia; Faculty of Health Sciences, Curtin University, Perth, Western Australia, Australia
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Catford SR, Halliday J, Lewis S, O'Bryan MK, Handelsman DJ, Hart RJ, McBain J, Rombauts L, Amor DJ, Saffery R, McLachlan RI. The metabolic health of young men conceived using intracytoplasmic sperm injection. Hum Reprod 2022; 37:2908-2920. [PMID: 36166702 DOI: 10.1093/humrep/deac212] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Revised: 08/18/2022] [Indexed: 12/14/2022] Open
Abstract
STUDY QUESTION Is the metabolic health of men conceived using ICSI different to that of IVF and spontaneously conceived (SC) men? SUMMARY ANSWER ICSI-conceived men aged 18-24 years, compared with SC controls, showed differences in some metabolic parameters including higher resting diastolic blood pressure (BP) and homeostasis model assessment for insulin resistance (HOMA-IR) scores, although the metabolic parameters of ICSI- and IVF-conceived singleton men were more comparable. WHAT IS KNOWN ALREADY Some studies suggest that IVF-conceived offspring may have poorer cardiovascular and metabolic profiles than SC children. Few studies have examined the metabolic health of ICSI-conceived offspring. STUDY DESIGN, SIZE, DURATION This cohort study compared the metabolic health of ICSI-conceived men to IVF-conceived and SC controls who were derived from prior cohorts. Participants included 121 ICSI-conceived men (including 100 singletons), 74 IVF-conceived controls (all singletons) and 688 SC controls (including 662 singletons). PARTICIPANTS/MATERIALS, SETTING, METHODS Resting systolic and diastolic BP (measured using an automated sphygmomanometer), height, weight, BMI, body surface area and fasting serum metabolic markers including fasting insulin, glucose, total cholesterol, high-density lipoprotein cholesterol (HDLC), low-density lipoprotein cholesterol, triglycerides, highly sensitive C-reactive protein (hsCRP) and HOMA-IR were compared between groups. Data were analysed using multivariable linear regression adjusted for various covariates including age and education level. MAIN RESULTS AND THE ROLE OF CHANCE After adjusting for covariates, compared to 688 SC controls, 121 ICSI-conceived men had higher diastolic BP (β 4.9, 95% CI 1.1-8.7), lower fasting glucose (β -0.7, 95% CI -0.9 to -0.5), higher fasting insulin (ratio 2.2, 95% CI 1.6-3.0), higher HOMA-IR (ratio 1.9, 95% CI 1.4-2.6), higher HDLC (β 0.2, 95% CI 0.07-0.3) and lower hsCRP (ratio 0.4, 95% CI 0.2-0.7) levels. Compared to 74 IVF-conceived singletons, only glucose differed in the ICSI-conceived singleton men (β -0.4, 95% CI -0.7 to -0.1). No differences were seen in the paternal infertility subgroups. LIMITATIONS, REASONS FOR CAUTION The recruitment rate of ICSI-conceived men in this study was low and potential for recruitment bias exists. The ICSI-conceived men, the IVF-conceived men and SC controls were from different cohorts with different birth years and different geographical locations. Assessment of study groups and controls was not contemporaneous, and the measurements differed for some outcomes (BP, insulin, glucose, lipids and hsCRP). WIDER IMPLICATIONS OF THE FINDINGS These observations require confirmation in a larger study with a focus on potential mechanisms. Further efforts to identify whether health differences are due to parental characteristics and/or factors related to the ICSI procedure are also necessary. STUDY FUNDING/COMPETING INTEREST(S) This study was funded by an Australian National Health and Medical Research Council Partnership Grant (NHMRC APP1140706) and was partially funded by the Monash IVF Research and Education Foundation. S.R.C. was supported through an Australian Government Research Training Program Scholarship. R.J.H. is supported by an NHMRC project grant (634457), and J.H. and R.I.M. have been supported by the NHMRC as Senior and Principal Research Fellows respectively (J.H. fellowship number: 1021252; R.I.M. fellowship number: 1022327). L.R. is a minority shareholder and the Group Medical Director for Monash IVF Group, and reports personal fees from Monash IVF Group and Ferring Australia, honoraria from Ferring Australia and travel fees from Merck Serono and MSD and Guerbet; R.J.H. is the Medical Director of Fertility Specialists of Western Australia and has equity in Western IVF; R.I.M. is a consultant for and shareholder of Monash IVF Group and S.R.C. reports personal fees from Besins Healthcare and nonfinancial support from Merck outside of the submitted work. The remaining authors have no conflicts of interest to declare. TRIAL REGISTRATION NUMBER N/A.
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Affiliation(s)
- S R Catford
- Centre for Endocrinology and Metabolism, Hudson Institute of Medical Research, Melbourne, Australia
- Department of Obstetrics and Gynaecology, Monash University, Melbourne, Australia
- Murdoch Children's Research Institute, Melbourne, Australia
| | - J Halliday
- Murdoch Children's Research Institute, Melbourne, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Australia
| | - S Lewis
- Murdoch Children's Research Institute, Melbourne, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Australia
| | - M K O'Bryan
- The School of BioSciences and Bio21 Institute, Faculty of Science, University of Melbourne, Melbourne, Australia
| | - D J Handelsman
- The ANZAC Research Institute, University of Sydney, Sydney, Australia
- Department of Andrology, Concord Repatriation General Hospital, Sydney, Australia
| | - R J Hart
- Division of Obstetrics and Gynaecology, University of Western Australia, Perth, Australia
- Fertility Specialists of Western Australia, Perth, Australia
| | - J McBain
- Department of Obstetrics and Gynaecology, University of Melbourne, Melbourne, Australia
- Melbourne IVF, East Melbourne, Australia
- Department of Obstetrics and Gynaecology, The Royal Women's Hospital, Melbourne, Australia
| | - L Rombauts
- Department of Obstetrics and Gynaecology, Monash University, Melbourne, Australia
- Monash IVF Group Pty Ltd, Melbourne, Australia
| | - D J Amor
- Murdoch Children's Research Institute, Melbourne, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Australia
| | - R Saffery
- Murdoch Children's Research Institute, Melbourne, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Australia
| | - R I McLachlan
- Centre for Endocrinology and Metabolism, Hudson Institute of Medical Research, Melbourne, Australia
- Department of Obstetrics and Gynaecology, Monash University, Melbourne, Australia
- Monash IVF Group Pty Ltd, Melbourne, Australia
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Berman YE, Doherty DA, Mori TA, Beilin LJ, Ayonrinde OT, Adams LA, Huang RC, Olynyk JK, Keelan JA, Newnham JP, Hart RJ. Associations between Prenatal Exposure to Phthalates and Features of the Metabolic Syndrome in Males from Childhood into Adulthood. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15244. [PMID: 36429961 PMCID: PMC9690816 DOI: 10.3390/ijerph192215244] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 11/05/2022] [Accepted: 11/09/2022] [Indexed: 06/16/2023]
Abstract
Phthalate metabolites are detectable within the majority of the population. Evidence suggests that a prenatal exposure to phthalates may be associated with the subsequent risks of obesity and elevated blood pressure. We hypothesised that a prenatal exposure to phthalates would lead to an increase in adverse cardiometabolic parameters through childhood and adulthood. The maternal serum phthalate measurements from the stored samples taken from Gen1 mothers at 18 and 34 weeks gestation were examined in relation to the cardiometabolic measures in 387 male offspring from the Raine Study. Data from the Gen2 follow-ups between 3 and 27 years were used. The primary outcomes were analysed longitudinally using linear mixed models for the repeated measures. Non-alcoholic fatty liver disease (NAFLD) was assessed at 17 years using logistic regression. A consistent positive relationship was observed between a prenatal exposure to mono-carboxy-iso-octyl phthalate (MCiOP) through adolescence into adulthood with systolic blood pressure. There were no other consistent cardiovascular associations. Mid-levels of prenatal exposures to Mono-n-butyl phthalate (MnBP) were associated with a greater incidence of NAFLD. Detectable Mono-3-carboxypropyl phthalate (MCPP) was associated with a lower serum HDL-C through late childhood into adulthood, while a higher prenatal exposure to mono-iso-butyl phthalate (MiBP), was associated with a higher LDL-C at 22 years of age. A mid-level prenatal exposure to mono-2-ethylhexyl phthalate (MEHP) metabolites was associated with higher insulin in adulthood, while a higher prenatal exposure to the sum of the Di-(2-ethyl-hexyl) phthalate (DEHP) and Di-iso-nonyl phthalate (DiNP) metabolites was associated with higher fasting serum glucose in adulthood. In conclusion, our study demonstrated that higher prenatal phthalate exposures to some phthalate metabolites was associated with some adverse metabolic profiles through adolescence into adulthood, although the consistent themes were limited to a few metabolites and the outcomes of systolic blood pressure, fasting insulin and glucose.
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Affiliation(s)
- Ye’elah E. Berman
- Division of Obstetrics and Gynaecology, University of Western Australia, Perth, WA 6008, Australia
| | - Dorota A. Doherty
- Division of Obstetrics and Gynaecology, University of Western Australia, Perth, WA 6008, Australia
| | - Trevor A. Mori
- Medical School, University of Western Australia, Crawley, WA 6009, Australia
| | - Lawrence J. Beilin
- Medical School, University of Western Australia, Crawley, WA 6009, Australia
| | - Oyekoya T. Ayonrinde
- Medical School, University of Western Australia, Crawley, WA 6009, Australia
- Department of Gastroenterology and Hepatology, Fiona Stanley Hospital, Murdoch, WA 6150, Australia
| | - Leon A. Adams
- Medical School, University of Western Australia, Crawley, WA 6009, Australia
- Department of Hepatology, Sir Charles Gairdner Hospital, Nedlands, WA 6009, Australia
| | - Rae-Chi Huang
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA 6027, Australia
- Telethon Kids Institute, University of Western Australia, Nedlands, WA 6009, Australia
| | - John K. Olynyk
- Department of Gastroenterology and Hepatology, Fiona Stanley Hospital, Murdoch, WA 6150, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA 6027, Australia
| | - Jeffrey A. Keelan
- Division of Obstetrics and Gynaecology, University of Western Australia, Perth, WA 6008, Australia
| | - John P. Newnham
- Division of Obstetrics and Gynaecology, University of Western Australia, Perth, WA 6008, Australia
| | - Roger J. Hart
- Division of Obstetrics and Gynaecology, University of Western Australia, Perth, WA 6008, Australia
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20
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Calder SD, Brennan‐Jones CG, Robinson M, Whitehouse A, Hill E. The prevalence of and potential risk factors for Developmental Language Disorder at 10 years in the Raine Study. J Paediatr Child Health 2022; 58:2044-2050. [PMID: 35922883 PMCID: PMC9804624 DOI: 10.1111/jpc.16149] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2022] [Revised: 06/22/2022] [Accepted: 07/20/2022] [Indexed: 01/07/2023]
Abstract
AIM This study sought to determine the prevalence of Developmental Language Disorder (DLD) in Australian school-aged children and associated potential risk factors for DLD at 10 years. METHODS This study used a cross-sectional design to estimate the prevalence of DLD in Generation 2 of the prospective Raine Study. Participants included 1626 children aged 10 years with available language data. Primary outcomes included variables matching diagnostic criteria for DLD. Associations of other potential prenatal and environmental variables were analysed as secondary outcomes. RESULTS The prevalence of DLD in this sample was 6.4% (n = 104) at 10 years. This sub-cohort comprised 33.7% (n = 35) with expressive language deficits, 20.2% (n = 21) with receptive language deficits, and 46.2% (n = 48) with receptive-expressive deficits. No significant difference in sex distribution was observed (52.9% male, p = 0.799). Children who were exposed to smoke in utero at 18 weeks gestation were at increased risk of DLD at 10 years (OR = 2.56, CI = 1.23-5.35, p = 0.012). CONCLUSIONS DLD is a relatively prevalent condition in Australian children, even when assessed in middle childhood years. These findings can inform future research priorities, and public health and educational policy which account for the associations with potential risk factors.
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Affiliation(s)
- Samuel D Calder
- School of Allied Health, Faculty of Health SciencesCurtin UniversityPerthWestern AustraliaAustralia,Health Sciences, College of Health and MedicineUniversity of TasmaniaLauncestonTasmaniaAustralia
| | - Christopher G. Brennan‐Jones
- School of Allied Health, Faculty of Health SciencesCurtin UniversityPerthWestern AustraliaAustralia,Telethon Kids Institute, The University of Western AustraliaPerthWestern AustraliaAustralia
| | - Monique Robinson
- Telethon Kids Institute, The University of Western AustraliaPerthWestern AustraliaAustralia
| | - Andrew Whitehouse
- Telethon Kids Institute, The University of Western AustraliaPerthWestern AustraliaAustralia
| | - Elizabeth Hill
- School of Allied Health, Faculty of Health SciencesCurtin UniversityPerthWestern AustraliaAustralia
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21
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Relationships between intrauterine fetal growth trajectories and markers of adiposity and inflammation in young adults. Int J Obes (Lond) 2022; 46:1925-1935. [PMID: 35978103 PMCID: PMC9492546 DOI: 10.1038/s41366-022-01203-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2022] [Revised: 07/25/2022] [Accepted: 07/28/2022] [Indexed: 11/08/2022]
Abstract
BACKGROUND There is now good evidence that events during gestation significantly influence the developmental well-being of an individual in later life. This study aimed to investigate the relationships between intrauterine growth trajectories determined by serial ultrasound and subsequent markers of adiposity and inflammation in the 27-year-old adult offspring from the Raine Study, an Australian longitudinal pregnancy cohort. METHODS Ultrasound fetal biometric measurements including abdominal circumference (AC), femur length (FL), and head circumference (HC) from 1333 mother-fetal pairs (Gen1-Gen2) in the Raine Study were used to develop fetal growth trajectories using group-based trajectory modeling. Linear mixed modeling investigated the relationship between adult body mass index (BMI), waist circumference (WC), and high-sensitivity C-reactive protein (hs-CRP) of Gen2 at 20 (n = 485), 22 (n = 421) and 27 (n = 437) years and the fetal growth trajectory groups, adjusting for age, sex, adult lifestyle factors, and maternal factors during pregnancy. RESULTS Seven AC, five FL and five HC growth trajectory groups were identified. Compared to the average-stable (reference) group, a lower adult BMI was observed in two falling AC trajectories: (β = -1.45 kg/m2, 95% CI: -2.43 to -0.46, P = 0.004) and (β = -1.01 kg/m2, 95% CI: -1.96 to -0.05, P = 0.038). Conversely, higher adult BMI (2.58 kg/m2, 95% CI: 0.98 to 4.18, P = 0.002) and hs-CRP (37%, 95% CI: 9-73%, P = 0.008) were observed in a rising FL trajectory compared to the reference group. A high-stable HC trajectory associated with 20% lower adult hs-CRP (95% CI: 5-33%, P = 0.011). CONCLUSION This study highlights the importance of understanding causes of the unique patterns of intrauterine growth. Different fetal growth trajectories from early pregnancy associate with subsequent adult adiposity and inflammation, which predispose to the risk of diabetes and cardiometabolic disease.
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22
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Huang R, Melton P, Burton M, Beilin L, Clarke-Harris R, Cook E, Godfrey K, Burdge G, Mori T, Anderson D, Rauschert S, Craig JM, Kobor M, MacIsaac J, Morin A, Oddy W, Pennell C, Holbrook J, Lillycrop K. Adiposity associated DNA methylation signatures in adolescents are related to leptin and perinatal factors. Epigenetics 2022; 17:819-836. [PMID: 33550919 PMCID: PMC9423832 DOI: 10.1080/15592294.2021.1876297] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Revised: 12/04/2020] [Accepted: 01/04/2021] [Indexed: 10/22/2022] Open
Abstract
Epigenetics links perinatal influences with later obesity. We identifed differentially methylated CpG (dmCpG) loci measured at 17 years associated with concurrent adiposity measures and examined whether these were associated with hsCRP, adipokines, and early life environmental factors. Genome-wide DNA methylation from 1192 Raine Study participants at 17 years, identified 29 dmCpGs (Bonferroni corrected p < 1.06E-07) associated with body mass index (BMI), 10 with waist circumference (WC) and 9 with subcutaneous fat thickness. DmCpGs within Ras Association (RalGDS/AF-6), Pleckstrin Homology Domains 1 (RAPH1), Musashi RNA-Binding Protein 2 (MSI2), and solute carrier family 25 member 10 (SLC25A10) are associated with both BMI and WC. Validation by pyrosequencing confirmed these associations and showed that MSI2 , SLC25A10 , and RAPH1 methylation was positively associated with serum leptin. These were also associated with the early environment; MSI2 methylation (β = 0.81, p = 0.0004) was associated with pregnancy maternal smoking, SLC25A10 (CpG2 β = 0.12, p = 0.002) with pre- and early pregnancy BMI, and RAPH1 (β = -1.49, p = 0.036) with gestational weight gain. Adjusting for perinatal factors, methylation of the dmCpGs within MSI2, RAPH1, and SLC25A10 independently predicted BMI, accounting for 24% of variance. MSI2 methylation was additionally associated with BMI over time (17 years old β = 0.026, p = 0.0025; 20 years old β = 0.027, p = 0.0029) and between generations (mother β = 0.044, p = 7.5e-04). Overall findings suggest that DNA methylation in MSI2, RAPH1, and SLC25A10 in blood may be robust markers, mediating through early life factors.
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Affiliation(s)
- R.C. Huang
- Telethon Kids Institute, University of Western Australia, Australia
| | - P.E. Melton
- Curtin/UWA Centre for Genetic Origins of Health and Disease, School of Biomedical Sciences, The University of Western Australia, Perth, Australia
- School of Pharmacy and Biomedical Sciences, Curtin University, Perth, Australia
- Menzies Institute for Medical Research, University of Tasmania, Australia
| | - M.A. Burton
- School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - L.J. Beilin
- Medical School, The University of Western Australia, Australia
| | - R Clarke-Harris
- School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - E Cook
- School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - K.M. Godfrey
- School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - G.C. Burdge
- School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - T.A. Mori
- Medical School, The University of Western Australia, Australia
| | - D Anderson
- Telethon Kids Institute, University of Western Australia, Australia
| | - S. Rauschert
- Telethon Kids Institute, University of Western Australia, Australia
| | - J. M. Craig
- Centre for Molecular and Medical Research, School of Medicine, Deakin University, Geelong, Victoria, Australia
- Environmental & Genetic Epidemiology Research, Murdoch Children’s Research Institute, Royal Children’s Hospital, Parkville, Victoria, Australia
| | - M.S. Kobor
- Department of Medical Genetics, University of British Columbia, VancouverCanada
| | - J.L. MacIsaac
- Department of Medical Genetics, University of British Columbia, VancouverCanada
| | - A.M. Morin
- Department of Medical Genetics, University of British Columbia, VancouverCanada
| | - W.H. Oddy
- Menzies Institute for Medical Research, University of Tasmania, Australia
| | - C.E. Pennell
- School of Medicine and Public Health, Faculty of Medicine and Health, The University of Newcastle, Australia
| | - J.D. Holbrook
- Curtin/UWA Centre for Genetic Origins of Health and Disease, School of Biomedical Sciences, The University of Western Australia, Perth, Australia
| | - K.A. Lillycrop
- Curtin/UWA Centre for Genetic Origins of Health and Disease, School of Biomedical Sciences, The University of Western Australia, Perth, Australia
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23
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Dyer KIC, Sanfilippo PG, Yazar S, Craig JE, Hewitt AW, Newnham JP, Mackey DA, Lee SSY. The Relationship Between Fetal Growth and Retinal Nerve Fiber Layer Thickness in a Cohort of Young Adults. Transl Vis Sci Technol 2022; 11:8. [PMID: 35819290 PMCID: PMC9287618 DOI: 10.1167/tvst.11.7.8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 05/30/2022] [Indexed: 12/05/2022] Open
Abstract
Purpose To explore relationships between patterns of fetal anthropometric growth, as reflective of fetal wellbeing, and global retinal nerve fiber layer (RNFL) thickness measured in young adulthood. Methods Participants (n = 481) from within a Western Australian pregnancy cohort study underwent five serial ultrasound scans during gestation, with fetal biometry measured at each scan. Optic disc parameters were measured via spectral-domain optical coherence tomography imaging at a 20-year follow-up eye examination. Generalized estimating equations were used to evaluate differences in global RNFL thickness between groups of participants who had undergone similar growth trajectories based on fetal head circumference (FHC), abdominal circumference (FAC), femur length (FFL), and estimated fetal weight (EFW). Results Participants with consistently large FHCs throughout gestation had significantly thicker global RNFLs than those with any other pattern of FHC growth (P = 0.023), even after adjustment for potential confounders (P = 0.037). Based on model fit statistics, FHC growth trajectory was a better predictor of global RNFL thickness than birth weight or head circumference at birth. RNFL thickness did not vary significantly between groups of participants with different growth trajectories based on FAC, FFL, or EFW. Conclusions FHC growth is associated with RNFL thickness in young adulthood and, moreover, is a better predictor than either birth weight or head circumference at birth. Translational Relevance This research demonstrates an association between intrauterine growth and long-term optic nerve health, providing a basis for further exploring the extent of the influence of fetal wellbeing on clinical conditions linked to RNFL thinning.
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Affiliation(s)
- Kathleen I C Dyer
- Centre for Ophthalmology and Visual Sciences (incorporating the Lions Eye Institute), University of Western Australia, Nedlands, Australia
| | - Paul G Sanfilippo
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of Melbourne, Melbourne, Australia
| | - Seyhan Yazar
- Centre for Ophthalmology and Visual Sciences (incorporating the Lions Eye Institute), University of Western Australia, Nedlands, Australia
- Single Cell and Computational Genomics Laboratory, Garvan Institute of Medical Research, Darlinghurst, Australia
| | - Jamie E Craig
- Eye and Vision, Flinders Health and Medical Institute, Flinders University, Adelaide, Australia
| | - Alex W Hewitt
- Centre for Ophthalmology and Visual Sciences (incorporating the Lions Eye Institute), University of Western Australia, Nedlands, Australia
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of Melbourne, Melbourne, Australia
- School of Medicine, Menzies Research Institute Tasmania, University of Tasmania, Hobart, Australia
| | - John P Newnham
- School of Women's and Infants' Health, The University of Western Australia, Perth, Australia
| | - David A Mackey
- Centre for Ophthalmology and Visual Sciences (incorporating the Lions Eye Institute), University of Western Australia, Nedlands, Australia
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of Melbourne, Melbourne, Australia
- School of Medicine, Menzies Research Institute Tasmania, University of Tasmania, Hobart, Australia
| | - Samantha S Y Lee
- Centre for Ophthalmology and Visual Sciences (incorporating the Lions Eye Institute), University of Western Australia, Nedlands, Australia
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Lee SSY, Mackey DA. Prevalence and Risk Factors of Myopia in Young Adults: Review of Findings From the Raine Study. Front Public Health 2022; 10:861044. [PMID: 35570945 PMCID: PMC9092372 DOI: 10.3389/fpubh.2022.861044] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 03/22/2022] [Indexed: 11/13/2022] Open
Abstract
Myopia tends to develop and progress fastest during childhood, and the age of stabilization has been reported to be 15-16 years old. Thus, most studies on myopia have centered on children. Data on the refractive error profile in young adulthood - a time in life when myopia is thought to have stabilized and refractive error is unaffected by age-related pathology such as cataract - are limited. The Raine Study has been following a community-based cohort of young adults representative of the general Western Australia population since their prenatal periods in 1989-1991, with eye examinations performed when participants were 20 and 28 years old. At 20 years old, prevalence of myopia in the cohort was 25.8%. Using long-term trajectory of serum vitamin D levels and conjunctival ultraviolet autofluorescence (CUVAF) area to objectively quantify sun exposure, the Raine Study confirmed a negative relationship between time spent outdoors and myopia prevalence. However, prospective studies are required to determine the amount of CUVAF area or serum vitamin D levels associated with time duration. Combining data from the Raine Study and several other cohorts, Mendelian randomization studies have confirmed a link between myopia and a genetic predisposition toward higher education. Several novel potential associations of myopia or ocular biometry were investigated, including fetal growth trajectory, which was found to be significantly associated with corneal curvature at 20 years. By age 28, myopia prevalence had increased to 33.2%. Between 20 and 28 years old, myopia progressed and axial length elongated, on average, by -0.041D/year and 0.02 mm/year, respectively. Smaller CUVAF area at follow-up, female sex, and parental myopia were significant risk factors for myopia incidence and progression between 20 and 28 years. Given the limited research in young adults, further investigations are warranted to confirm the Raine Study findings, as well as identify novel genetic or environmental factors of myopia incidence and progression in this age group.
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Affiliation(s)
- Samantha Sze-Yee Lee
- Centre for Ophthalmology and Visual Science (Incorporating the Lions Eye Institute), University of Western Australia, Perth, WA, Australia
| | - David A Mackey
- Centre for Ophthalmology and Visual Science (Incorporating the Lions Eye Institute), University of Western Australia, Perth, WA, Australia.,Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of Melbourne, East Melbourne, VIC, Australia.,School of Medicine, Menzies Research Institute Tasmania, University of Tasmania, Hobart, TAS, Australia
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Ayano G, Lin A, Dachew BA, Tait R, Betts K, Alati R. The impact of parental mental health problems on the educational outcomes of their offspring: Findings from the Raine Study. Aust N Z J Psychiatry 2022; 56:510-524. [PMID: 34227415 DOI: 10.1177/00048674211025633] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
OBJECTIVES There is limited evidence on the impact of parental mental health problems on offspring's educational outcomes. We investigated the impact of maternal anxiety and depressive symptoms, as well as paternal emotional problems on the educational outcomes of their adolescent and young adult offspring. METHODS We used data from a longitudinal birth cohort recruited between 1989 and 1991 in Australia (the Raine Study). The Depression, Anxiety and Stress Scale was used to assess maternal depressive and anxiety symptoms, and a self-reported question was used to measure paternal mental health problems. Both were assessed when the offspring was aged 10 years. Outcomes included offspring's self-reported education attainment-not completing year 10 at age 17, not attending tertiary education at ages 17 and 22 and primary caregiver's reports of offspring's academic performance at age 17. RESULTS A total of 1033, 1307 and 1364 parent-offspring pairs were included in the final analysis exploring the association between parental mental health problems and offspring's academic performance at school, completing year 10 and attending tertiary education, respectively. After adjusting for potential confounders, the offspring of mothers with anxiety symptoms were 3.42 times more likely than the offspring of mothers without anxiety symptoms to have poor or below-average academic performance (odds ratio = 3.42; 95% confidence interval = [1.31, 8.92]) and more than 2 times more likely to not attend tertiary education (odds ratio = 2.55; 95% confidence interval = [1.10, 5.5.88]) and not to have completed year 10 (odds ratio = 2.13; 95% confidence interval = [1.04, 4.33]). We found no significant associations between maternal depressive symptoms or paternal emotional problems and offspring educational attainment. CONCLUSION Maternal anxiety symptoms, but not depression and paternal emotional problems, are associated with poor educational attainment and achievement in adolescent offspring. The findings highlight that efforts to improve the outcomes of offspring of mothers with anxiety could focus on educational attainment.
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Affiliation(s)
- Getinet Ayano
- School of Public Health, Faculty of Health Sciences, Curtin University, Perth, WA, Australia
| | - Ashleigh Lin
- Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia
| | - Berihun Assefa Dachew
- School of Public Health, Faculty of Health Sciences, Curtin University, Perth, WA, Australia
| | - Robert Tait
- National Drug Research Institute, Faculty of Health Sciences, Curtin University, Perth, WA, Australia
| | - Kim Betts
- School of Public Health, Faculty of Health Sciences, Curtin University, Perth, WA, Australia
| | - Rosa Alati
- School of Public Health, Faculty of Health Sciences, Curtin University, Perth, WA, Australia.,Institute of Social Science Research, The University of Queensland, Brisbane, QLD, Australia
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Defining the role of the hypothalamic-pituitary-adrenal axis in the relationship between fetal growth and adult cardiometabolic outcomes. J Dev Orig Health Dis 2022; 13:683-694. [PMID: 35445653 DOI: 10.1017/s2040174422000186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Animal and human data demonstrate independent relationships between fetal growth, hypothalamic-pituitary-adrenal axis function (HPA-A) and adult cardiometabolic outcomes. While the association between fetal growth and adult cardiometabolic outcomes is well-established, the role of the HPA-A in these relationships is unclear. This study aims to determine whether HPA-A function mediates or moderates this relationship. Approximately 2900 pregnant women were recruited between 1989-1991 in the Raine Study. Detailed anthropometric data was collected at birth (per cent optimal birthweight [POBW]). The Trier Social Stress Test was administered to the offspring (Generation 2; Gen2) at 18 years; HPA-A responses were determined (reactive responders [RR], anticipatory responders [AR] and non-responders [NR]). Cardiometabolic parameters (BMI, systolic BP [sBP] and LDL cholesterol) were measured at 20 years. Regression modelling demonstrated linear associations between POBW and BMI and sBP; quadratic associations were observed for LDL cholesterol. For every 10% increase in POBW, there was a 0.54 unit increase in BMI (standard error [SE] 0.15) and a 0.65 unit decrease in sBP (SE 0.34). The interaction between participant's fetal growth and HPA-A phenotype was strongest for sBP in young adulthood. Interactions for BMI and LDL-C were non-significant. Decomposition of the total effect revealed no causal evidence of mediation or moderation.
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Duko B, Pereira G, Tait RJ, Betts K, Newnham J, Alati R. Prenatal tobacco and alcohol exposures and the risk of anxiety symptoms in young adulthood: A population-based cohort study. Psychiatry Res 2022; 310:114466. [PMID: 35219268 DOI: 10.1016/j.psychres.2022.114466] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 01/18/2022] [Accepted: 02/19/2022] [Indexed: 11/15/2022]
Abstract
BACKGROUND Epidemiological studies have linked prenatal tobacco and alcohol exposures to internalizing behaviours in children and adolescents with inconsistent findings. Dearth of epidemiological studies have investigated the associations with the risk of experiencing symptoms of anxiety in young adulthood. METHODS Study participants (N = 1190) were from the Raine Study, a population-based prospective birth cohort based in Perth, Western Australia. Data on prenatal tobacco and alcohol exposures were available for the first and third trimesters of pregnancy. Experiencing symptoms of anxiety in young adulthood at age 20 years was measured by a short form of the Depression Anxiety Stress Scale (DASS 21). Relative risk (RR) of experiencing symptoms of anxiety in young adulthood for prenatal tobacco and alcohol exposures were estimated with log binomial regression. RESULTS After adjusting for potential confounders, we observed increased risks of experiencing symptoms of anxiety in young adults exposed to prenatal tobacco in the first trimester [RR = 1.52, 95% CI: 1.12-2.06, p-value < 0.01] and third trimester [RR = 1.53, 95% CI: 1.10-2.13, p-value = 0.02]. However, we found insufficient statistical evidence for an association between first trimester [RR = 1.01, 95% CI: 0.76-1.22, p-value = 0.90] and third trimester [RR = 1.03, 95% CI: 0.80-1.34, p-value = 0.91] prenatal exposure to alcohol and the risk of experiencing symptoms of anxiety in young adults. There was a dose response association between prenatal tobacco exposure and increasing anxiety symptoms in offspring. CONCLUSION The findings of this study suggest that an association between prenatal tobacco exposure and risk of anxiety symptoms remains apparent into young adulthood.
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Affiliation(s)
- Bereket Duko
- Curtin School of Population Health, Curtin University, Kent Street, Bentley WA 6102, Australia.
| | - Gavin Pereira
- Curtin School of Population Health, Curtin University, Kent Street, Bentley WA 6102, Australia; Centre for Fertility and Health (CeFH), Norwegian Institute of Public Health, Oslo, Norway; enAble Institute, Curtin University, Kent Street, Bentley, Western Australia 6102, Australia
| | - Robert J Tait
- National Drug Research Institute, Faculty of Health Sciences, Curtin University, 7 Parker Place Building 609, Level 2 Technology Park, Bentley WA 6102, Australia
| | - Kim Betts
- Curtin School of Population Health, Curtin University, Kent Street, Bentley WA 6102, Australia
| | - John Newnham
- Division of Obstetrics and Gynaecology, Faculty of Health and Medical Sciences, The University of Western Australia, 17 Monash Ave, Nedlands WA 6009, Australia
| | - Rosa Alati
- Curtin School of Population Health, Curtin University, Kent Street, Bentley WA 6102, Australia; Institute for Social Sciences Research, The University of Queensland, 80 Meier's Rd, Indooroopilly, Queensland 4068 Australia
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Duko B, Pereira G, Tait RJ, Betts K, Newnham J, Alati R. Prenatal alcohol and tobacco exposures and the risk of cannabis use in offspring: Findings from a population-based cohort study. Neurotoxicol Teratol 2022; 90:107064. [PMID: 35007727 DOI: 10.1016/j.ntt.2022.107064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 01/05/2022] [Accepted: 01/05/2022] [Indexed: 10/19/2022]
Abstract
BACKGROUND There is a paucity of prospective longitudinal studies examining the associations between maternal use of alcohol and tobacco during pregnancy and the risk of cannabis use in offspring. The aim of this study was to examine the association between prenatal alcohol and tobacco exposures and offspring cannabis use. METHODS Data were from the Raine Study, a longitudinal prospective birth cohort based in Western Australia. Cannabis use at 17 years of age was measured with a self-reported questionnaire developed to capture risky behaviors in adolescents. Associations between prenatal alcohol and tobacco exposures and the risk of cannabis use in offspring were examined using log-binomial regression models, computing relative risk (RR). We also computed the E-values (E) to estimate the extent of unmeasured confounding. RESULTS After adjusting for potential confounders, we observed increased risks of cannabis use in offspring exposed to first trimester prenatal alcohol use (RR = 1.38, 95% CI: 1.09-1.75; E = 2.10, CI:1.40) and tobacco use (RR = 1.42, 95% CI: 1.08-1.86; E = 2.19, CI:1.37) as well as third trimester prenatal alcohol use (RR = 1.39, 95% CI: 1.09-1.79; E = 2.13, CI:1.40) and tobacco use (RR = 1.39, 95% CI: 1.09-1.79; E = 2.21, CI:1.34]. We also noted dose-response associations in which risk estimates in offspring increased with the level of exposures to prenatal alcohol and tobacco use. CONCLUSION These findings provide epidemiological evidence for effects of prenatal alcohol and tobacco exposures on offspring cannabis use. Although these results should be confirmed by other studies, the present study adds to the mounting evidence suggesting that women should be encouraged to abstain from alcohol and tobacco during pregnancy.
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Affiliation(s)
- Bereket Duko
- Curtin School of Population Health, Curtin University, Kent Street, Bentley, WA 6102, Australia.
| | - Gavin Pereira
- Curtin School of Population Health, Curtin University, Kent Street, Bentley, WA 6102, Australia; Centre for Fertility and Health (CeFH), Norwegian Institute of Public Health, Oslo, Norway
| | - Robert J Tait
- National Drug Research Institute, Faculty of Health Sciences, Curtin University, 7 Parker Place Building 609, Level 2 Technology Park, Bentley, WA 6102, Australia
| | - Kim Betts
- Curtin School of Population Health, Curtin University, Kent Street, Bentley, WA 6102, Australia
| | - John Newnham
- Division of Obstetrics and Gynaecology, Faculty of Health and Medical Sciences, The University of Western Australia, 17 Monash Ave, Nedlands, WA 6009, Australia
| | - Rosa Alati
- Curtin School of Population Health, Curtin University, Kent Street, Bentley, WA 6102, Australia; Institute for Social Sciences Research, The University of Queensland, 80 Meier's Rd, Indooroopilly, Queensland 4068, Australia
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Dry C, Pedretti MK, Nathan E, Dickinson JE. A comparison of four fetal biometry growth charts within an Australian obstetric population. Australas J Ultrasound Med 2022; 25:5-19. [PMID: 35251898 PMCID: PMC8873619 DOI: 10.1002/ajum.12290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 01/25/2022] [Accepted: 02/01/2022] [Indexed: 11/05/2022] Open
Abstract
PURPOSE The aim of this study was to investigate the applicability of four existing fetal growth charts to a local tertiary hospital obstetric population. METHOD Four existing fetal growth charts (the Raine study reference charts, INTERGROWTH-21st charts, World Health Organization (WHO) fetal growth study charts and Australasian Society for Ultrasound in Medicine (ASUM) endorsed Campbell Westerway charts were compared using data from 11651 singleton pregnancy ultrasound scans at King Edward Memorial Hospital (KEMH). The 3rd, 10th, 50th 90th and 97th percentile curves for abdominal circumference (AC) biometry for the KEMH data were calculated and the four primary correlation parameters from fitted 3rd order polynomials (a, b, c and d) were used to generate like-for-like comparisons for all charts. RESULTS The overall comparisons showed a significant variation with different growth charts, giving different percentiles for the same fetal AC measurement. INTERGROWTH-21st percentile curves tended to fall below those of other charts for AC measurements. Both the Raine Study charts and ASUM charts were the charts of closest overall fit to the local data. CONCLUSION Our data show the Raine Study charts are the most appropriate for our population compared with the other three charts assessed suggesting the 'one size fits all' model may not be appropriate. However, additional analysis of biometry measurements, primarily AC, is needed to address the deficiency of data at 14-18 weeks gestation which exists for the Raine Study data.A reasonable alternative may be to adopt the WHO charts with local calibration (including the 14 - 18 week gestation period).
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Affiliation(s)
- Candice Dry
- Department of Medical Imaging King Edward Memorial Hospital374 Bagot RoadSubiacoWA6008Australia
| | - Michelle K. Pedretti
- Department of Medical Imaging King Edward Memorial Hospital374 Bagot RoadSubiacoWA6008Australia,Division of Obstetrics and GynaecologyFaculty of Health and Medical SciencesThe University of Western Australia (M550)35 Stirling HighwayPerth6009Australia
| | - Elizabeth Nathan
- Division of Obstetrics and GynaecologyFaculty of Health and Medical SciencesThe University of Western Australia (M550)35 Stirling HighwayPerth6009Australia,Women and Infants Research Foundation Carson HouseKing Edward Memorial Hospital374 Bagot RoadSubiacoWA6008Australia
| | - Jan E. Dickinson
- Department of Medical Imaging King Edward Memorial Hospital374 Bagot RoadSubiacoWA6008Australia,Division of Obstetrics and GynaecologyFaculty of Health and Medical SciencesThe University of Western Australia (M550)35 Stirling HighwayPerth6009Australia
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Harmonized Phenotypes for Anxiety, Depression, and Attention-Deficit Hyperactivity Disorder (ADHD). JOURNAL OF PSYCHOPATHOLOGY AND BEHAVIORAL ASSESSMENT 2022. [DOI: 10.1007/s10862-021-09925-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
AbstractIn multi-cohort consortia, the problem often arises that a phenotype is measured using different questionnaires. This study aimed to harmonize scores based on the Child Behaviour Check List (CBCL) and the Strength and Difficulties Questionnaire (SDQ) for anxiety/depression and ADHD. To link the scales, we used parent reports on 1330 children aged 10–11.5 years from the Raine study on both SDQ and CBCL. Harmonization was done based on Item Response Theory. We started from existing CBCL and SDQ scales related to anxiety/depression and ADHD (theoretical approach). Next, we conducted a data-driven approach using factor analysis to validate the theoretical approach. Both approaches yielded similar scales, validating the combination of existing scales. In addition, we studied the impact of harmonized (IRT-based) scores on the statistical power of the results in meta-analytic gene-finding studies. The results showed that the IRT-based harmonized scores increased the statistical power of the results compared to sum scores, even with an equal sample size. These findings can help future researchers to harmonize data from different samples and/or different questionnaires that measure anxiety, depression, and ADHD, in order to obtain the larger sample sizes, to compare research results across subpopulations or to increase generalizability, the validity or statistical power of research results. We recommend using our item parameters to estimate harmonized scores that represent commensurate phenotypes across cohorts, and we explained in detail how other researchers can use our results to harmonize data in their studies.
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Associations of early-life pet ownership with asthma and allergic sensitization: a meta-analysis of >77,000 children from the EU Child Cohort Network. J Allergy Clin Immunol 2022; 150:82-92. [PMID: 35150722 DOI: 10.1016/j.jaci.2022.01.023] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 01/18/2022] [Accepted: 01/21/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND Studies examining associations of early-life cat and dog ownership with childhood asthma have reported inconsistent results. Several factors could explain these inconsistencies, including type of pet, timing and degree of exposure. OBJECTIVE To study associations of early-life cat and dog ownership with school-age asthma, including the role of type (cat versus dog), timing (never, prenatal or early childhood) and degree (number) of ownership, and the role of allergic sensitisation. METHODS We used harmonised data from 77,434 mother-child dyads aged 5-11 years from nine birth cohorts in the EU Child Cohort Network. Associations were examined through the DataSHIELD platform using adjusted logistic regression models, fitted separately for each cohort and combined using random-effects meta-analysis. RESULTS Early-life cat and dog ownership ranged between 12-45% and 7-47% respectively, and prevalence of asthma between 2-20%. There was no overall association between either cat or dog ownership and asthma (OR: 0.97 (95% CI: 0.87-1.09) and 0.92 (0.85-1.01), respectively). Timing and degree of ownership did not strongly influence associations. Cat and dog ownership were also not associated with cat- and dog-specific allergic sensitisation (OR: 0.92 (0.75-1.13) and 0.93 (0.57-1.54), respectively). However, cat- and dog-specific allergic sensitisation were strongly associated with school-age asthma (OR: 6.69 (4.91-9.10) and 5.98 (3.14-11.36), respectively). There was also some indication of an interaction between ownership and sensitisation, suggesting that ownership may exacerbate the risks associated with pet-specific sensitisation, but offer some protection against asthma in the absence of sensitisation. CONCLUSION Our findings do not support early-life cat and dog ownership in themselves increasing the risk of school-age asthma, but suggest that ownership may potentially exacerbate the risks associated with cat- and dog-specific allergic sensitisation.
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Barden AE, Huang RC, Beilin LJ, Rauschert S, Tsai IJ, Oddy WH, Mori TA. Identifying young adults at high risk of cardiometabolic disease using cluster analysis and the Framingham 30-yr risk score. Nutr Metab Cardiovasc Dis 2022; 32:429-435. [PMID: 34895997 DOI: 10.1016/j.numecd.2021.10.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 09/08/2021] [Accepted: 10/08/2021] [Indexed: 11/17/2022]
Abstract
BACKGROUND AND AIMS Current strategies to reduce cardiovascular disease (CVD) risk in young adults are largely limited to those at extremes of risk. In cohort studies we have shown cluster analysis identified a large sub-group of adolescents with multiple risk factors. This study examined if individuals classified at 'high-risk' by cluster analysis could also be identified by their Framingham risk scores. METHODS AND RESULTS Raine Study data at 17- (n = 1048) and 20-years (n = 1120) identified high- and low-risk groups by cluster analysis using continuous measures of systolic BP, BMI, triglycerides and insulin resistance. We assessed:- CVD risk at 20-years using the Framingham 30 yr-risk-score in the high- and low-risk clusters, and cluster stability from adolescence to adulthood. Cluster analysis at 17- and 20-years identified a high-risk group comprising, 17.9% and 21.3%, respectively of the cohort. In contrast, only 1.2% and 3.4%, respectively, met the metabolic syndrome criteria, all of whom were within the high-risk cluster. Compared with the low-risk cluster, Framingham scores of the high-risk cluster were elevated in males (9.4%; 99%CI 8.3, 10.6 vs 6.0%; 99%CI 5.7, 6.2) and females (4.9%; 99%CI 4.4, 5.4 vs 3.2%; 99%CI 3.0, 3.3) (both P < 0.0001). A score >8 for males and >4 for females identified those at high CVD risk with 99% confidence. CONCLUSION Cluster analysis using multiple risk factors identified ∼20% of young adults at high CVD risk. Application of our Framingham 30 yr-risk cut-offs to individuals allows identification of more young people with multiple risk factors for CVD than conventional metabolic syndrome criteria.
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Affiliation(s)
- Anne E Barden
- Medical School, University of Western Australia, Australia.
| | - Rae-Chi Huang
- Medical School, University of Western Australia, Australia; Telethon Kids Institute, University of Western Australia, Australia
| | | | - Sebastian Rauschert
- Medical School, University of Western Australia, Australia; Telethon Kids Institute, University of Western Australia, Australia
| | - I-Jung Tsai
- Medical School, University of Western Australia, Australia
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Australia
| | - Trevor A Mori
- Medical School, University of Western Australia, Australia
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Catford SR, Halliday J, Lewis S, O'Bryan MK, Handelsman DJ, Hart RJ, McBain J, Rombauts L, Amor DJ, Saffery R, McLachlan RI. Reproductive function in men conceived with in vitro fertilization and intracytoplasmic sperm injection. Fertil Steril 2022; 117:727-737. [PMID: 35120745 DOI: 10.1016/j.fertnstert.2021.12.026] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 12/21/2021] [Accepted: 12/22/2021] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To determine the semen quality and reproductive hormones of men conceived by in vitro fertilization (IVF) and intracytoplasmic sperm injection (ICSI) compared with men conceived without assisted reproductive technology (ART). DESIGN Cohort study. SETTING IVF centers in Victoria and the Western Australian Raine Study. PATIENT(S) Men conceived with IVF/ICSI and men conceived without ART aged 18-25 years. INTERVENTION(S) Clinical review. MAIN OUTCOME MEASURE(S) The primary outcome was the prevalence of severe oligozoospermia (sperm concentration, <5 million/mL). The secondary outcomes were total sperm count, total and progressive motility, total motile count, normal morphology, and serum testosterone, luteinizing hormone (LH) and follicle-stimulating hormone (FSH). RESULTS There was no difference in the prevalence of severe oligozoospermia between 120 men conceived with IVF/ICSI and 356 men conceived without ART (9% vs. 5.3%). Men conceived with IVF/ICSI had similar sperm concentration, total sperm count, and total motile count but lower mean total (55.3% vs. 60.6%) and progressive (44.7% vs. 53.9%) sperm motility with higher mean normal morphology (8.5% vs. 5.4%). Differences in progressive motility (ß, -9.9; 95% confidence interval [CI], -16.7 - -3.0), normal morphology (ß, 4.3; 95% CI, 3.0-5.7), and proportion with abnormal morphology (adjusted odds ratios, 0.1; 95% CI, 0.04-0.5) remained significant after adjusting for confounders. Men conceived with IVF/ICSI had lower mean FSH (3.3 IU/L) and LH (3.9 IU/L) levels and higher mean testosterone levels (19.1 nmol/L) than controls (4.2 IU/L, 11.0 IU/L, and 16.8 nmol/L). CONCLUSION This study of men conceived with IVF/ICSI found similar sperm output to men conceived without ART. Overall, the results are reassuring.
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Affiliation(s)
- Sarah R Catford
- Hudson Institute of Medical Research, Melbourne, Australia; Department of Obstetrics and Gynecology, Monash University, Melbourne, Australia; Murdoch Children's Research Institute, Melbourne, Australia.
| | - Jane Halliday
- Murdoch Children's Research Institute, Melbourne, Australia; Department of Pediatrics, University of Melbourne, Melbourne, Australia
| | - Sharon Lewis
- Murdoch Children's Research Institute, Melbourne, Australia; Department of Pediatrics, University of Melbourne, Melbourne, Australia
| | - Moira K O'Bryan
- The School of BioSciences, Faculty of Science, University of Melbourne, Melbourne, Australia
| | - David J Handelsman
- ANZAC Research Institute, University of Sydney and Department of Andrology, Concord Hospital, Sydney, Australia
| | - Roger J Hart
- Division of Obstetrics and Gynecology, University of Western Australia, Perth, Australia; Fertility Specialists of Western Australia, Perth, Australia
| | - John McBain
- Department of Obstetrics and Gynecology, University of Melbourne, Melbourne, Australia; Melbourne IVF, East Melbourne, Australia; Department of Obstetrics and Gynecology, The Royal Women's Hospital, Melbourne, Australia
| | - Luk Rombauts
- Department of Obstetrics and Gynecology, Monash University, Melbourne, Australia; Monash IVF Group Pty Ltd, Melbourne, Australia
| | - David J Amor
- Murdoch Children's Research Institute, Melbourne, Australia; Department of Pediatrics, University of Melbourne, Melbourne, Australia
| | - Richard Saffery
- Murdoch Children's Research Institute, Melbourne, Australia; Department of Pediatrics, University of Melbourne, Melbourne, Australia
| | - Robert I McLachlan
- Hudson Institute of Medical Research, Melbourne, Australia; Department of Obstetrics and Gynecology, Monash University, Melbourne, Australia; Monash IVF Group Pty Ltd, Melbourne, Australia
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McLaughlin C, Schutze R, Pennell C, Henley D, Robinson M, Straker L, Smith A. The anticipatory response to stress and symptoms of depression and anxiety in early adulthood. Psychoneuroendocrinology 2022; 136:105605. [PMID: 34875422 DOI: 10.1016/j.psyneuen.2021.105605] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 10/17/2021] [Accepted: 11/19/2021] [Indexed: 12/22/2022]
Abstract
BACKGROUND Whilst cortisol reactivity has been associated with depression and anxiety disorders, research examining cortisol reactivity with early symptoms of these conditions in males and females is limited. METHODS At age 18, 748 males and females from Gen2 of the Raine Study were assessed for their salivary cortisol response to a psychosocial stressor using the Trier Social Stress Test (TSST). Participants later completed the Depression Anxiety Stress Scale (DASS-21) at age 20 which was used as the outcome measure in regression models. RESULTS We found differences in DASS-21 across TSST responder categories in females but not males. Female reactive-responders (RR) and non-responders (NR) had increased symptoms of depression and anxiety compared to anticipatory-responders (AR). AR were associated with the lowest symptomology in females. We found limited evidence for an association between salivary cortisol summary measures (CBL, CMAX, CMIN, CRANGE, AUCG and AUCR) and depression/anxiety symptoms at age 20. CONCLUSIONS This study sheds new light on adaptive and maladaptive physiological responses to psychosocial stress in terms of depression and anxiety symptoms. These preliminary findings indicate the pattern of response to a psychosocial stressor may contribute to individual vulnerability for stress-related diseases in a sex-specific manner.
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Affiliation(s)
| | - Robert Schutze
- School of Allied Health, Curtin University, Perth, Australia; Multidisciplinary Pain Management Centre, Royal Perth Hospital, Perth, Australia
| | - Craig Pennell
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Newcastle, Australia; Mothers and Babies Research Centre, Hunter Medical Research Institute, New South Wales, Australia
| | - David Henley
- Medical School, The University of Western Australia, Perth, Australia; Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Perth, Australia
| | - Monique Robinson
- Telethon Kids Institute, The University of Western Australia, Perth, Australia
| | - Leon Straker
- School of Allied Health, Curtin University, Perth, Australia
| | - Anne Smith
- School of Allied Health, Curtin University, Perth, Australia
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Tait R, Ivers R, Marino JL, Doherty D, Graham PL, Cunich M, Sanci L, Steinbeck K, Straker L, Skinner SR. Mental health and behavioural factors involved in road traffic crashes by young adults: analysis of the Raine Study. J Epidemiol Community Health 2021; 76:556-562. [PMID: 34965969 DOI: 10.1136/jech-2021-218039] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 12/01/2021] [Indexed: 11/04/2022]
Abstract
BACKGROUND Road traffic crashes (RTC) are a leading cause of mortality and morbidity in young people. Severe mental health and behavioural conditions increase the likelihood of RTC, as do a range of driving-risk activities. METHOD We used data from the Raine Study, a prebirth cohort from Perth, Australia, to assess the relationship between measures of common mental health or behavioural conditions (Child Behavior Checklist Internalising and Externalising scores) at age 17 and subsequent RTC by 27 years, controlling for substance use and driving-risk activities. RESULTS By 27 years of age, of 937 participants, 386 (41.2%) reported zero crashes and 551 (58.8%) reported ≥1 crashes. In the baseline Poisson model, increased Externalising scores (eg, aggression and delinquency) were associated with increased RTC (incidence rate ratio (IRR)=1.02, 95% CI 1.01 to 1.02): increased Internalising scores (eg, anxiety and depression) were associated with fewer RTC (IRR=0.99, 95% CI 0.98 to 1.00). In the fully adjusted model, the mental health measures were not significant (Externalising IRR=1.01, 95% CI 0.99 to 1.02: Internalising IRR=0.99, 95% CI 0.99 to 1.00). Risky driver activities, such as falling asleep while driving (IRR=1.34), more frequent use of a hands-free telephone (IRR=1.35) and more frequent hostility towards other drivers (IRR=1.30) increased the rate of RTC. CONCLUSION Measures of mental health scores at age 17 were not predictive of subsequent RTC, after adjusting for measures of driving-risk activities. We need to better understand the determinants of externalising and risky driving behaviours if we are to address the increased risk of RTC.
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Affiliation(s)
- Robert Tait
- National Drug Research Institute, Faculty of Health Sciences, Curtin University, Perth, Western Australia, Australia
| | - Rebecca Ivers
- School of Population Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Jennifer L Marino
- Department of Obstetrics and Gynaecology, University of Melbourne & Royal Women's Hospital, Parkville, Victoria, Australia.,Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, Victoria, Australia.,Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia.,School of Population Health and Global Medicine, University of Melbourne, Melbourne, Victoria, Australia
| | - Dorota Doherty
- Division of Obstetrics and Gynaecology, Faculty of Medicine and Medical Sciences, The University of Western Australia, Perth, Western Australia, Australia.,Women and Infants Research Foundation, Subiaco, Western Australia, Australia
| | - Petra L Graham
- Centre for Economic Impacts of Genomic Medicine (GenIMPACT) and Department of Mathematics and Statistics, Macquarie University, Sydney, New South Wales, Australia
| | - Michelle Cunich
- Charles Perkins Centre, Faculty of Medicine and Health (Central Clinical School), University of Sydney, Sydney, New South Wales, Australia.,Sydney Institute for Women, Children and their Families, Sydney Local Health District, Camperdown, New South Wales, Australia.,The ANZAC Research Institute, Concord Repatriation General Hospital, Sydney Local Health District, Concord, New South Wales, Australia.,Sydney Health Economics Collaborative, Sydney Local Health District, Camperdown, New South Wales, Australia
| | - Lena Sanci
- Department of General Practice, University of Melbourne, Carlton, Victoria, Australia
| | - Katharine Steinbeck
- Specialty of Child and Adolescent Health, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Leon Straker
- School of Allied Health, Curtin University, Perth, Western Australia, Australia
| | - S Rachel Skinner
- Specialty of Child and Adolescent Health, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
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Sande R, Jenderka KV, Moran CM, Marques S, Jimenez Diaz JF, Ter Haar G, Marsal K, Lees C, Abramowicz JS, Salvesen KÅ, Miloro P, Dall'Asta A, Brezinka C, Kollmann C. Safety Aspects of Perinatal Ultrasound. ULTRASCHALL IN DER MEDIZIN (STUTTGART, GERMANY : 1980) 2021; 42:580-598. [PMID: 34352910 DOI: 10.1055/a-1538-6295] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Ultrasound safety is of particular importance in fetal and neonatal scanning. Fetal tissues are vulnerable and often still developing, the scanning depth may be low, and potential biological effects have been insufficiently investigated. On the other hand, the clinical benefit may be considerable. The perinatal period is probably less vulnerable than the first and second trimesters of pregnancy, and ultrasound is often a safer alternative to other diagnostic imaging modalities. Here we present step-by-step procedures for obtaining clinically relevant images while maintaining ultrasound safety. We briefly discuss the current status of the field of ultrasound safety, with special attention to the safety of novel modalities, safety considerations when ultrasound is employed for research and education, and ultrasound of particularly vulnerable tissues, such as the neonatal lung. This CME is prepared by ECMUS, the safety committee of EFSUMB, with contributions from OB/GYN clinicians with a special interest in ultrasound safety.
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Affiliation(s)
- Ragnar Sande
- Department of Obstetrics and Gynecology, Stavanger University Hospital, Stavanger, Norway
- Department of Clinical Science, University of Bergen, Norway
| | | | - Carmel M Moran
- Centre for Cardiovascular Science, Edinburgh University, Edinburgh, United Kingdom of Great Britain and Northern Ireland
| | - Susana Marques
- Department of Gastroenterology and Digestive Endoscopy, Champalimaud Foundation, Lisboa, Portugal
| | - J F Jimenez Diaz
- Sport Sciences Faculty, Castilla La Mancha University Education Faculty of Toledo, Spain
- Sport Medicine Department, UCAM, Murcia, Spain
| | - Gail Ter Haar
- Physics, Institute of Cancer Research, Sutton, United Kingdom of Great Britain and Northern Ireland
| | - Karel Marsal
- Department of Obstetrics and Gynecology, Lund University, Lund, Sweden
| | - Christoph Lees
- Center for Fetal Care, Queen Charlotte's and Chelsea Hospital, London, United Kingdom of Great Britain and Northern Ireland
| | - Jacques S Abramowicz
- Department of Obstetrics and Gynecology, University of Chicago Medical Center, CHICAGO, United States
- Safety Committee, World Federation for Ultrasound in Medicine and Biology, Chicago, United States
| | - Kjell Åsmund Salvesen
- Department of Obstetrics and Gynecology, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Piero Miloro
- Ultrasound and Underwater Acoustics, National Physical Laboratory, Teddington, United Kingdom of Great Britain and Northern Ireland
| | - Andrea Dall'Asta
- Department of Medicine and Surgery, Obstetrics and Gynecology Unit, Universita degli Studi di Parma, Italy
| | - Christoph Brezinka
- Department of Obstetrics and Gynecology, Medical University Innsbruck Department of Gynecology, Innsbruck, Austria
| | - Christian Kollmann
- Center for Medical Physics & Biomedical Engineering, Medical University Vienna, Austria
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Generative Adversarial Networks to Improve Fetal Brain Fine-Grained Plane Classification. SENSORS 2021; 21:s21237975. [PMID: 34883977 PMCID: PMC8659720 DOI: 10.3390/s21237975] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 11/19/2021] [Accepted: 11/26/2021] [Indexed: 01/17/2023]
Abstract
Generative adversarial networks (GANs) have been recently applied to medical imaging on different modalities (MRI, CT, X-ray, etc). However there are not many applications on ultrasound modality as a data augmentation technique applied to downstream classification tasks. This study aims to explore and evaluate the generation of synthetic ultrasound fetal brain images via GANs and apply them to improve fetal brain ultrasound plane classification. State of the art GANs stylegan2-ada were applied to fetal brain image generation and GAN-based data augmentation classifiers were compared with baseline classifiers. Our experimental results show that using data generated by both GANs and classical augmentation strategies allows for increasing the accuracy and area under the curve score.
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Nader JL, López-Vicente M, Julvez J, Guxens M, Cadman T, Elhakeem A, Järvelin MR, Rautio N, Miettunen J, El Marroun H, Melchior M, Heude B, Charles MA, Yang TC, McEachan RRC, Wright J, Polanska K, Carson J, Lin A, Rauschert S, Huang RC, Popovic M, Richiardi L, Corpeleijn E, Cardol M, Mikkola TM, Eriksson JG, Salika T, Inskip H, Vinther JL, Strandberg-Larsen K, Gürlich K, Grote V, Koletzko B, Vafeiadi M, Sunyer J, Jaddoe VWV, Harris JR. Cohort description: Measures of early-life behaviour and later psychopathology in the LifeCycle Project - EU Child Cohort Network. J Epidemiol 2021. [PMID: 34776498 PMCID: PMC10165218 DOI: 10.2188/jea.je20210241] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND The EU LifeCycle Project was launched in 2017 to combine, harmonise, and analyse data from more than 250,000 participants across Europe and Australia, involving cohorts participating in the EU-funded LifeCycle Project. The purpose of this cohort description is to provide a detailed overview over the major measures within mental health domains that are available in 17 European and Australian cohorts participating in the LifeCycle Project. METHODS Data on cognitive, behavioural and psychological development has been collected on participants from birth until adulthood through questionnaire and medical data. We developed an inventory of the available data by mapping individual instruments, domain types, and age groups, providing the basis for statistical harmonization across mental health measures. RESULTS The mental health data in LifeCycle contain longitudinal and cross-sectional data for ages 0-18+ years, covering domains across a wide range of behavioural and psychopathology indicators and outcomes (including executive function, depression, ADHD and cognition). These data span a unique combination of qualitative data collected through behavioural/cognitive/mental health questionnaires and examination, as well as data from biological samples and indices in the form of brain imaging (MRI, foetal ultrasound) and DNA methylation data. Harmonized variables on a subset of mental health domains have been developed, providing statistical equivalence of measures required for longitudinal meta-analyses across instruments and cohorts. CONCLUSION Mental health data harmonized through the LifeCycle project can be used to study life course trajectories and exposure-outcome models that examine early life risk factors for mental illness and develop predictive markers for later-life disease.
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Affiliation(s)
- Johanna L Nader
- Department of Genetics and Bioinformatics, Division of Health Data and Digitalisation, Norwegian Institute of Public Health
| | - Mònica López-Vicente
- ISGlobal, Instituto de Salud Global de Barcelona.,Department of Child and Adolescent Psychiatry, University Medical Center Rotterdam
| | - Jordi Julvez
- ISGlobal, Instituto de Salud Global de Barcelona.,Institut d'Investigació Sanitària Pere Virgili, Hospital Universitari Sant Joan de Reus
| | - Monica Guxens
- ISGlobal, Instituto de Salud Global de Barcelona.,Department of Child and Adolescent Psychiatry, University Medical Center Rotterdam
| | - Tim Cadman
- MRC Integrative Epidemiology Unit at University of Bristol, Population Health Sciences, Bristol Medical School
| | - Ahmed Elhakeem
- MRC Integrative Epidemiology Unit at University of Bristol, Population Health Sciences, Bristol Medical School
| | | | - Nina Rautio
- Center for Life Course Health Research, University of Oulu
| | - Jouko Miettunen
- Center for Life Course Health Research, University of Oulu.,Medical Research Center Oulu, Oulu University Hospital and University of Oulu
| | - Hanan El Marroun
- Department of Child and Adolescent Psychiatry, University Medical Center Rotterdam.,Department of Pediatrics, University Medical Center Rotterdam.,The Generation R Study Group
| | - Maria Melchior
- Sorbonne Université, INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, IPLESP
| | - Barbara Heude
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), INSERM, INRAE
| | - Marie-Aline Charles
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), INSERM, INRAE.,Unité mixte Inserm-Ined-EFS Elfe, INED
| | - Tiffany C Yang
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust
| | - Rosemary R C McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust
| | - Kinga Polanska
- Department of Hygiene and Epidemiology, Medical University of Lodz
| | - Jennie Carson
- Telethon Kids Institute, University of Western Australia
| | - Ashleigh Lin
- Telethon Kids Institute, University of Western Australia
| | | | - Rae-Chi Huang
- Telethon Kids Institute, University of Western Australia
| | - Maja Popovic
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO Piemonte
| | - Lorenzo Richiardi
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO Piemonte
| | - Eva Corpeleijn
- Department of Epidemiology, University Medical Center Groningen
| | - Marloes Cardol
- Department of Epidemiology, University Medical Center Groningen
| | - Tuija M Mikkola
- Folkhälsan Research Center.,Clinicum, Faculty of Medicine, University of Helsinki
| | - Johan G Eriksson
- Folkhälsan Research Center.,Public Health Promotion Unit, National Institute for Health and Welfare.,Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital.,Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research.,Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore
| | - Theodosia Salika
- Medical Research Council Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton
| | - Hazel Inskip
- Medical Research Council Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton.,NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, University of Southampton
| | | | | | - Kathrin Gürlich
- Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr. von Hauner Children's Hospital, University Hospital, LMU
| | - Veit Grote
- Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr. von Hauner Children's Hospital, University Hospital, LMU
| | - Berthold Koletzko
- Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr. von Hauner Children's Hospital, University Hospital, LMU
| | - Marina Vafeiadi
- Department of Social Medicine, Faculty of Medicine, University of Crete
| | - Jordi Sunyer
- ISGlobal, Instituto de Salud Global de Barcelona
| | - Vincent W V Jaddoe
- Department of Pediatrics, University Medical Center Rotterdam.,The Generation R Study Group
| | - Jennifer R Harris
- Division of Health Data and Digitalization, Center for Fertility and Health and Department of Genetics and Bioinformatics, The Norwegian Institute of Public Health
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Duko B, Pereira G, Tait RJ, Newnham J, Betts K, Alati R. Prenatal tobacco exposure and the risk of conduct disorder symptoms in offspring at the age of 14 years: Findings from the Raine Study. J Psychiatr Res 2021; 142:1-8. [PMID: 34304077 DOI: 10.1016/j.jpsychires.2021.07.030] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 06/30/2021] [Accepted: 07/18/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Emerging epidemiological evidence suggests that offspring born to mothers who smoked tobacco during pregnancy may have elevated risk of developing conduct disorder (CD) symptoms. We examined associations between maternal and paternal tobacco smoking during pregnancy and CD symptoms in offspring at the age of 14 years. METHODS We obtained data from the Raine Study, a multi-generational cohort study based in Western Australia. DSM-oriented scale of the Child Behavior Checklist (CBCL) was used to measure CD symptoms in offspring. Negative binomial regression was used to estimate the rate ratio (risks) (RR) of CD symptoms in offspring. We also produced the E-values to investigate the extent of unmeasured confounding. Paternal smoking during pregnancy was used as a proxy for environmental tobacco smoke exposure. RESULTS Complete data were available for 1747 mother-offspring and 1711 father-offspring pairs. After adjusting for potential confounders, we found elevated risks (rates) of CD symptoms in offspring born to mothers smoking tobacco during the first trimester [RR 1.52 (95 % CI: 1.24-1.87)], third trimester [RR 1.36 (95 % CI: 1.09-1.69)] and during both trimesters of pregnancy [RR 1.50 (95 % CI: 1.19-1.90)]. The rates of CD symptoms in offspring increased with the level of exposure to maternal smoking during pregnancy. However, we noted insufficient statistical evidence for an association between paternal smoking during pregnancy and CD symptoms in offspring. CONCLUSION The associations we found for maternal but not paternal smoking may suggest a biological mechanism for intrauterine tobacco exposure on the risk of CD symptoms in offspring. Early interventions assisting pregnant mothers to quit tobacco smoking, or avoid smoking initiation, have potential to contribute health benefits to both mothers and their offspring.
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Affiliation(s)
- Bereket Duko
- Curtin School of Population Health, Curtin University, Kent Street, Bentley, WA, 6102, Australia.
| | - Gavin Pereira
- Curtin School of Population Health, Curtin University, Kent Street, Bentley, WA, 6102, Australia; Centre for Fertility and Health (CeFH), Norwegian Institute of Public Health, Oslo, Norway
| | - Robert J Tait
- National Drug Research Institute, Faculty of Health Sciences, Curtin University, 7 Parker Place Building 609, Level 2 Technology Park, Bentley, WA, 6102, Australia
| | - John Newnham
- Division of Obstetrics and Gynaecology, Faculty of Health and Medical Sciences, The University of Western Australia, 17 Monash Ave, Nedlands, WA, 6009, Australia
| | - Kim Betts
- Curtin School of Population Health, Curtin University, Kent Street, Bentley, WA, 6102, Australia
| | - Rosa Alati
- Curtin School of Population Health, Curtin University, Kent Street, Bentley, WA, 6102, Australia; Institute for Social Sciences Research, The University of Queensland, 80 Meier's Rd, Indooroopilly, Queensland, 4068, Australia
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40
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Dudwiesus H, Merz E. How safe is it to use ultrasound in prenatal medicine? Facts and contradictions - Part 2 - Laboratory experiments regarding non-thermal effects and epidemiological studies. ULTRASCHALL IN DER MEDIZIN (STUTTGART, GERMANY : 1980) 2021; 42:460-502. [PMID: 33836546 DOI: 10.1055/a-1394-6194] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
The first part of this CME article (issue 5/20) provided a detailed examination of the biophysical effects of ultrasound waves, the exposure values, and in particular the thermal effect. In vivo and in vitro measurements have shown that the temperature increase in tissue associated with B-mode ultrasound is far too low to pose a potential risk. Even experiments with exposure values in the range of pulsed Doppler have shown that temperature increases of over 1.5 °C can only occur in areas in direct contact with the probe, thus making a limited exposure time particularly in the case of transvaginal application advisable. The second part of this CME article describes various laboratory and animal experiments for evaluating non-thermal effects and also presents the most important epidemiological studies in the last 30 years in the form of an overview and review. In addition to direct insonation of isolated cells to examine possible mutagenic effects, the blood of patients exposed in vivo to ultrasound was also analyzed in multiple experiments. Reproducible chromosome aberrations could not be found in any of the studies. In contrast, many experiments on pregnant rodents showed some significant complications, such as abortion, deformities, and behavioral disorders. As in the case of thermal effects, the results of these experiments indicate the presence of an intensity- or pressure-dependent effect threshold. Numerous epidemiological studies examining possible short-term and long-term consequences after intrauterine ultrasound exposure are available with the most important studies being discussed in the following. In contrast to information presented incorrectly in the secondary literature and in the lay press, health problems could not be seen in the children observed in the postpartum period in any of these studies.
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Affiliation(s)
| | - Eberhard Merz
- Centre for Ultrasound and Prenatal Medicine Frankfurt/Main, Germany
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41
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Gorrell S, Flatt RE, Bulik CM, Le Grange D. Psychosocial etiology of maladaptive exercise and its role in eating disorders: A systematic review. Int J Eat Disord 2021; 54:1358-1376. [PMID: 33942917 PMCID: PMC8811798 DOI: 10.1002/eat.23524] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 04/13/2021] [Accepted: 04/13/2021] [Indexed: 01/19/2023]
Abstract
OBJECTIVE Although maladaptive exercise (ME) is widely recognized as a clinical feature in transdiagnostic eating disorders, less is known about psychosocial factors that give rise to and perpetuate this behavior. This systematic review aimed to examine the empirical status of this association. METHOD We reviewed 46 full text articles examining longitudinal associations between psychosocial variables and ME. RESULTS Eighteen studies met full inclusion criteria. Based on our qualitative synthesis, evidence suggests reasonably consistent associations between early concern with weight and shape, and negative affect on later development of ME. DISCUSSION Inconsistent and insufficient assessment of ME across a majority of studies underscores caution in interpretation of results, but guides important discussion for future clinical and research efforts.
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Affiliation(s)
- Sasha Gorrell
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, California
| | - Rachael E. Flatt
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Cynthia M. Bulik
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina,Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina,Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Daniel Le Grange
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, California,Department of Psychiatry & Behavioral Neuroscience, The University of Chicago, Chicago, Illinois
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42
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McVeigh JA, Smith A, Howie EK, Stamatakis E, Ding D, Cistulli PA, Eastwood P, Straker L. Developmental trajectories of sleep during childhood and adolescence are related to health in young adulthood. Acta Paediatr 2021; 110:2435-2444. [PMID: 33973271 DOI: 10.1111/apa.15911] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 04/28/2021] [Accepted: 05/07/2021] [Indexed: 02/04/2023]
Abstract
AIM Sleep behaviour is correlated and causally related to physical and mental health. Limited longitudinal data exist on the associations of poor sleep behaviour in childhood and adolescence with adult health. Parent-reported sleep behaviours from 1993 participants of the Raine Study (at ages 5, 8, 10, 14, 17) were used to determine sleep trajectories (using latent class growth analysis). METHODS Measures of physical and mental health were compared between sleep trajectories using generalised linear models (at age 20). RESULTS Three sleep trajectories were identified as follows: 43% of participants belonged to a trajectory with 'consistently minimal' sleep problems, 49% showed some 'declining' in reporting of sleep problems incidence and 8% had 'persistent' sleep problems. Participants in the 'consistently minimal' trajectory had better physical and mental health outcomes at age 20 compared to those in the 'declining' and 'persistent' trajectories. For example, 'consistently minimal' participants had significantly lower body fat percentage (mean difference: -3.89% (95% CI: -7.41 to -0.38)) and a higher (better) SF-12 mental component score (mean difference: 4.78 (95% CI: 2.35-7.21)) compared to participants in the 'persistent' trajectory. CONCLUSION Poor sleep behaviour across childhood and adolescent years is related to poorer physical and mental health in young adulthood.
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Affiliation(s)
- Joanne A. McVeigh
- Curtin School of Allied Health Curtin University Perth WA Australia
- Movement Physiology Laboratory University of Witwatersrand Johannesburg South Africa
| | - Anne Smith
- Curtin School of Allied Health Curtin University Perth WA Australia
| | - Erin K. Howie
- Curtin School of Allied Health Curtin University Perth WA Australia
- Department of Health Human Performance and Recreation University of Arkansas Fayetteville AR USA
| | - Emmanuel Stamatakis
- Charles Perkins Centre School of Health Sciences Faculty of Medicine and Health University of Sydney Sydney NSW Australia
| | - Ding Ding
- Sydney School of Public Health Faculty of Medicine and Health University of Sydney Sydney NSW Australia
| | - Peter A. Cistulli
- Sydney School of Public Health Faculty of Medicine and Health University of Sydney Sydney NSW Australia
| | - Peter Eastwood
- Centre for Sleep Science School of Anatomy, Physiology & Human Biology University of Western Australia Perth WA Australia
| | - Leon Straker
- Curtin School of Allied Health Curtin University Perth WA Australia
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Wang CA, Attia JR, Lye SJ, Oddy WH, Beilin L, Mori TA, Meyerkort C, Pennell CE. The interactions between genetics and early childhood nutrition influence adult cardiometabolic risk factors. Sci Rep 2021; 11:14826. [PMID: 34290306 PMCID: PMC8295375 DOI: 10.1038/s41598-021-94206-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 06/29/2021] [Indexed: 12/20/2022] Open
Abstract
It is well established that genetics, environment, and interplay between them play a crucial role in adult disease. We aimed to evaluate the role of genetics, early life nutrition, and the interaction between them, on optimal adult health. As part of a large international consortium (n ~ 154,000), we identified 60 SNPs associated with both birthweight and adult disease. Utilising the Raine Study, we developed a birthweight polygenic score (BW-PGS) based on the 60 SNPs and examined relationships between BW-PGS and adulthood cardiovascular risk factors, specifically evaluating interactions with early life nutrition. Healthy nutrition was beneficial for all individuals; longer duration of any breastfeeding was particularly associated with lower BMI and lower Systolic Blood Pressure in those with higher BW-PGS. Optimal breastfeeding offers the greatest benefit to reduce adult obesity and hypertension in those genetically predisposed to high birthweight. This provides an example of how precision medicine in early life can improve adult health.
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Affiliation(s)
- Carol A Wang
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, Australia.,Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - John R Attia
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, Australia.,Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Stephen J Lye
- Alliance for Human Development, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Lawrence Beilin
- Medical School, Royal Perth Hospital Unit, University of Western Australia, Crawley, WA, Australia
| | - Trevor A Mori
- Medical School, Royal Perth Hospital Unit, University of Western Australia, Crawley, WA, Australia
| | | | - Craig E Pennell
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, Australia. .,Hunter Medical Research Institute, Newcastle, NSW, Australia.
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Haslam DE, Peloso GM, Guirette M, Imamura F, Bartz TM, Pitsillides AN, Wang CA, Li-Gao R, Westra JM, Pitkänen N, Young KL, Graff M, Wood AC, Braun KVE, Luan J, Kähönen M, Kiefte-de Jong JC, Ghanbari M, Tintle N, Lemaitre RN, Mook-Kanamori DO, North K, Helminen M, Mossavar-Rahmani Y, Snetselaar L, Martin LW, Viikari JS, Oddy WH, Pennell CE, Rosendall FR, Ikram MA, Uitterlinden AG, Psaty BM, Mozaffarian D, Rotter JI, Taylor KD, Lehtimäki T, Raitakari OT, Livingston KA, Voortman T, Forouhi NG, Wareham NJ, de Mutsert R, Rich SS, Manson JE, Mora S, Ridker PM, Merino J, Meigs JB, Dashti HS, Chasman DI, Lichtenstein AH, Smith CE, Dupuis J, Herman MA, McKeown NM. Sugar-Sweetened Beverage Consumption May Modify Associations Between Genetic Variants in the CHREBP (Carbohydrate Responsive Element Binding Protein) Locus and HDL-C (High-Density Lipoprotein Cholesterol) and Triglyceride Concentrations. CIRCULATION-GENOMIC AND PRECISION MEDICINE 2021; 14:e003288. [PMID: 34270325 PMCID: PMC8373451 DOI: 10.1161/circgen.120.003288] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Supplemental Digital Content is available in the text. Background: ChREBP (carbohydrate responsive element binding protein) is a transcription factor that responds to sugar consumption. Sugar-sweetened beverage (SSB) consumption and genetic variants in the CHREBP locus have separately been linked to HDL-C (high-density lipoprotein cholesterol) and triglyceride concentrations. We hypothesized that SSB consumption would modify the association between genetic variants in the CHREBP locus and dyslipidemia. Methods: Data from 11 cohorts from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium (N=63 599) and the UK Biobank (N=59 220) were used to quantify associations of SSB consumption, genetic variants, and their interaction on HDL-C and triglyceride concentrations using linear regression models. A total of 1606 single nucleotide polymorphisms within or near CHREBP were considered. SSB consumption was estimated from validated questionnaires, and participants were grouped by their estimated intake. Results: In a meta-analysis, rs71556729 was significantly associated with higher HDL-C concentrations only among the highest SSB consumers (β, 2.12 [95% CI, 1.16–3.07] mg/dL per allele; P<0.0001), but not significantly among the lowest SSB consumers (P=0.81; PDiff <0.0001). Similar results were observed for 2 additional variants (rs35709627 and rs71556736). For triglyceride, rs55673514 was positively associated with triglyceride concentrations only among the highest SSB consumers (β, 0.06 [95% CI, 0.02–0.09] ln-mg/dL per allele, P=0.001) but not the lowest SSB consumers (P=0.84; PDiff=0.0005). Conclusions: Our results identified genetic variants in the CHREBP locus that may protect against SSB-associated reductions in HDL-C and other variants that may exacerbate SSB-associated increases in triglyceride concentrations. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT00005133, NCT00005121, NCT00005487, and NCT00000479.
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Affiliation(s)
- Danielle E Haslam
- Nutritional Epidemiology Program (D.E.H., M. Guirette, K.A.L., N.M.M.), Tufts University, Boston, MA.,Channing Division of Network Medicine (D.E.H., J.E.M.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA.,Department of Nutrition (D.E.H.), Harvard T.H. Chan School of Public Health, Boston, MA
| | - Gina M Peloso
- Department of Biostatistics, Boston University School of Public Health, MA (G.M.P., A.N.P., J.D.)
| | - Melanie Guirette
- Nutritional Epidemiology Program (D.E.H., M. Guirette, K.A.L., N.M.M.), Tufts University, Boston, MA
| | - Fumiaki Imamura
- Medical Research Council Epidemiology Unit, University of Cambridge, United Kingdom (F.I., J.L., N.G.F., N.J.W.)
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Departments of Biostatistics (T.M.B.), University of Washington, Seattle.,Department of Medicine (T.M.B., R.N.L., B.M.P.), University of Washington, Seattle
| | - Achilleas N Pitsillides
- Department of Biostatistics, Boston University School of Public Health, MA (G.M.P., A.N.P., J.D.)
| | - Carol A Wang
- School of Medicine and Public Health, Faculty of Medicine and Health, The University of Newcastle, NSW, Australia (C.A.W., C.E.P.)
| | - Ruifang Li-Gao
- Department of Clinical Epidemiology (R.L.G., D.O.M.-K., F.R.R., R.dM.), Leiden University Medical Center, the Netherlands
| | | | - Niina Pitkänen
- Auria Biobank (N.P.), University of Turku, Finland.,Research Centre of Applied and Preventive Cardiovascular Medicine (N.P., O.T.R.), University of Turku, Finland
| | - Kristin L Young
- Department of Epidemiology, Gillings School of Global Public Health (K.L.Y., M. Graff, K.N.), University of North Carolina, Chapel Hill
| | - Mariaelisa Graff
- Department of Epidemiology, Gillings School of Global Public Health (K.L.Y., M. Graff, K.N.), University of North Carolina, Chapel Hill
| | - Alexis C Wood
- USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX (A.C.W.)
| | - Kim V E Braun
- Department of Epidemiology (K.V.E.B., J.C.K.-d.J., M. Ghanbari, M.A.I.), Erasmus MC University Medical Center Rotterdam, the Netherlands
| | - Jian'an Luan
- Medical Research Council Epidemiology Unit, University of Cambridge, United Kingdom (F.I., J.L., N.G.F., N.J.W.)
| | - Mika Kähönen
- Department of Clinical Physiology (M.K.), Tampere University Hospital, Finland.,Department of Clinical Physiology (M.K.), Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Finland
| | - Jessica C Kiefte-de Jong
- Department of Public Health and Primary Care (J.C.L.d.J., D.O.M.-K.), Leiden University Medical Center, the Netherlands.,Department of Epidemiology (K.V.E.B., J.C.K.-d.J., M. Ghanbari, M.A.I.), Erasmus MC University Medical Center Rotterdam, the Netherlands
| | - Mohsen Ghanbari
- Department of Epidemiology (K.V.E.B., J.C.K.-d.J., M. Ghanbari, M.A.I.), Erasmus MC University Medical Center Rotterdam, the Netherlands
| | | | - Rozenn N Lemaitre
- Department of Medicine (T.M.B., R.N.L., B.M.P.), University of Washington, Seattle
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology (R.L.G., D.O.M.-K., F.R.R., R.dM.), Leiden University Medical Center, the Netherlands.,Department of Public Health and Primary Care (J.C.L.d.J., D.O.M.-K.), Leiden University Medical Center, the Netherlands
| | - Kari North
- Department of Epidemiology, Gillings School of Global Public Health (K.L.Y., M. Graff, K.N.), University of North Carolina, Chapel Hill.,Carolina Center for Genome Science (K.N.), University of North Carolina, Chapel Hill
| | - Mika Helminen
- Research Development and Innovation Centre (M.H.), Tampere University Hospital, Finland.,Faculty of Social Sciences, Health Sciences, Tampere University, Finland (M.H.)
| | - Yasmin Mossavar-Rahmani
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY (Y.M.-R.)
| | - Linda Snetselaar
- Department of Epidemiology, University of Iowa, Iowa City (L.S.)
| | - Lisa W Martin
- George Washington University School of Medicine and Health Sciences, Washington, D.C. (L.W.M.)
| | - Jorma S Viikari
- Department of Medicine (J.S.V.), University of Turku, Finland.,Division of Medicine (J.S.V.), Turku University Hospital, Finland
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, HOB, Australia (W.H.O.)
| | - Craig E Pennell
- Nutrition and Genomics Laboratory (C.E.S.), Tufts University, Boston, MA.,School of Medicine and Public Health, Faculty of Medicine and Health, The University of Newcastle, NSW, Australia (C.A.W., C.E.P.)
| | - Frits R Rosendall
- Department of Clinical Epidemiology (R.L.G., D.O.M.-K., F.R.R., R.dM.), Leiden University Medical Center, the Netherlands
| | - M Arfan Ikram
- Department of Epidemiology (K.V.E.B., J.C.K.-d.J., M. Ghanbari, M.A.I.), Erasmus MC University Medical Center Rotterdam, the Netherlands
| | - Andre G Uitterlinden
- Department of Internal Medicine (A.G.U.), Erasmus MC University Medical Center Rotterdam, the Netherlands
| | - Bruce M Psaty
- Department of Medicine (T.M.B., R.N.L., B.M.P.), University of Washington, Seattle.,Departments of Epidemiology and Health Services (B.M.P.), University of Washington, Seattle.,Kaiser Permanente Washington Health Research Institute, Seattle, WA (B.M.P.)
| | - Dariush Mozaffarian
- Jean Mayer U.S. Department of Agriculture Human Nutrition Research Center on Aging, and Friedman School of Nutrition Science and Policy (D.M.), Tufts University, Boston, MA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA (J.I.R., K.D.T.)
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA (J.I.R., K.D.T.)
| | - Terho Lehtimäki
- Department of Clinical Chemistry (T.L.), Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Finland.,Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland (T.L.)
| | - Olli T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine (N.P., O.T.R.), University of Turku, Finland.,Centre for Population Health Research (O.T.R.), University of Turku, Finland.,Department of Clinical Physiology and Nuclear Medicine (O.T.R.), Turku University Hospital, Finland
| | - Kara A Livingston
- Nutritional Epidemiology Program (D.E.H., M. Guirette, K.A.L., N.M.M.), Tufts University, Boston, MA
| | | | - Nita G Forouhi
- Medical Research Council Epidemiology Unit, University of Cambridge, United Kingdom (F.I., J.L., N.G.F., N.J.W.)
| | - Nick J Wareham
- Medical Research Council Epidemiology Unit, University of Cambridge, United Kingdom (F.I., J.L., N.G.F., N.J.W.)
| | - Renée de Mutsert
- Department of Clinical Epidemiology (R.L.G., D.O.M.-K., F.R.R., R.dM.), Leiden University Medical Center, the Netherlands
| | - Steven S Rich
- Center for Public Health Genomics and Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville (S.S.R.)
| | - JoAnn E Manson
- Channing Division of Network Medicine (D.E.H., J.E.M.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA.,Division of Preventive Medicine (J.E.M., S.M., P.M.R., D.I.C.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA.,Department of Epidemiology (J.E.M.), Harvard T.H. Chan School of Public Health, Boston, MA
| | - Samia Mora
- Division of Preventive Medicine (J.E.M., S.M., P.M.R., D.I.C.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA.,Cardiovascular Division of Medicine and Center for Lipid Metabolomics (S.M., P.M.R.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Paul M Ridker
- Division of Preventive Medicine (J.E.M., S.M., P.M.R., D.I.C.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA.,Cardiovascular Division of Medicine and Center for Lipid Metabolomics (S.M., P.M.R.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Jordi Merino
- Program in Medical and Population Genetics (J.M., J.B.M., H.S.D.), Broad Institute of MIT and Harvard, Cambridge, MA.,Program in Metabolism (J.M., J.B.M.), Broad Institute of MIT and Harvard, Cambridge, MA.,Department of Medicine, Harvard Medical School, Boston, MA (J.M., J.B.M.).,Institut d'Investigació Sanitària Pere Virgili, Universitat Rovira i Virgili, Reus, Spain (J.M.).,Diabetes Unit and Center for Genomic Medicine (J.M., H.S.D.), Massachusetts General Hospital and Harvard Medical School, Boston
| | - James B Meigs
- Program in Medical and Population Genetics (J.M., J.B.M., H.S.D.), Broad Institute of MIT and Harvard, Cambridge, MA.,Program in Metabolism (J.M., J.B.M.), Broad Institute of MIT and Harvard, Cambridge, MA.,Department of Medicine, Harvard Medical School, Boston, MA (J.M., J.B.M.).,Division of General Internal Medicine (J.B.M.), Massachusetts General Hospital and Harvard Medical School, Boston
| | - Hassan S Dashti
- Program in Medical and Population Genetics (J.M., J.B.M., H.S.D.), Broad Institute of MIT and Harvard, Cambridge, MA.,Diabetes Unit and Center for Genomic Medicine (J.M., H.S.D.), Massachusetts General Hospital and Harvard Medical School, Boston.,Department of Anesthesia, Critical Care and Pain Medicine (H.S.D.), Massachusetts General Hospital and Harvard Medical School, Boston
| | - Daniel I Chasman
- Division of Preventive Medicine (J.E.M., S.M., P.M.R., D.I.C.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | | | | | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, MA (G.M.P., A.N.P., J.D.)
| | - Mark A Herman
- Division Of Endocrinology, Metabolism, and Nutrition, Department of Medicine and Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC (M.A.H.)
| | - Nicola M McKeown
- Nutritional Epidemiology Program (D.E.H., M. Guirette, K.A.L., N.M.M.), Tufts University, Boston, MA
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45
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Wan F, Pan F, Ayonrinde OT, Adams LA, Mori TA, Beilin LJ, O'Sullivan TA, Olynyk JK, Oddy WH. Validation of fatty liver disease scoring systems for ultrasound diagnosed non-alcoholic fatty liver disease in adolescents. Dig Liver Dis 2021; 53:746-752. [PMID: 33334704 DOI: 10.1016/j.dld.2020.11.037] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 11/23/2020] [Accepted: 11/29/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND AND AIMS The incidence of non-alcoholic fatty liver disease (NAFLD) is increasing in young populations. However, there are inadequate data regarding diagnosis of NAFLD. We aimed to validate three scoring systems against a previous standard of suprailiac skinfold thickness for diagnosing NAFLD in population-based adolescents. METHODS Seventeen-year-old adolescents (n = 899), participating in the Raine Study, attended a cross-sectional follow-up. NAFLD was diagnosed using liver ultrasound. Scores for Fatty liver index (FLI), Hepatic Steatosis Index (HSI) and Zhejiang University index (ZJU index) were calculated. Diagnostic accuracy of these diagnostic tests was evaluated through discrimination and calibration. RESULTS NAFLD was diagnosed 9% in males and 15% in females. The three scoring systems demonstrated better discrimination performance for NAFLD in males (AUC was FLI:0.82, HSI: 0.83 and ZJU index: 0.83) compared to females (AUC was FLI: 0.67, HSI: 0.67 and ZJU index: 0.67). Suprailiac skinfold performed better than the scoring systems (overall AUC: 0.82; male AUC:0.88; female AUC:0.73). FLI had best calibration performance. CONCLUSION Suprailiac skinfold thickness was a better predictor of ultrasound-diagnosed NAFLD than the three diagnostic scoring systems investigated. The higher performance characteristics of the algorithmic scoring systems in males compared with females may have implications for use in population assessments.
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Affiliation(s)
- Fuzhen Wan
- Menzies Institute for Medical Research, University of Tasmania
| | - Feng Pan
- Menzies Institute for Medical Research, University of Tasmania
| | - Oyekoya T Ayonrinde
- Medical School, The University of Western Australia, Perth, Western Australia; Department of Gastroenterology, Fiona Stanley Fremantle Hospital Group, Murdoch, Western Australia
| | - Leon A Adams
- Medical School, The University of Western Australia, Perth, Western Australia
| | - Trevor A Mori
- Medical School, The University of Western Australia, Perth, Western Australia
| | - Lawrence J Beilin
- Medical School, The University of Western Australia, Perth, Western Australia
| | | | - John K Olynyk
- Department of Gastroenterology, Fiona Stanley Fremantle Hospital Group, Murdoch, Western Australia; School of Medical and Health Sciences, Edith Cowan University
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania.
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Duko B, Pereira G, Betts K, Tait RJ, Newnham J, Alati R. Prenatal exposure to maternal, but not paternal, tobacco smoking is associated with smoking in adolescence. Addict Behav 2021; 117:106871. [PMID: 33609811 DOI: 10.1016/j.addbeh.2021.106871] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 02/01/2021] [Accepted: 02/02/2021] [Indexed: 12/23/2022]
Abstract
BACKGROUND Mounting epidemiological evidence suggests an association between prenatal tobacco exposure and an increased risk of tobacco smoking in offspring. However, it is uncertain whether the association is due to the intrauterine or shared environmental exposures. METHODS Study participants were from the Raine Study, a prospective birth cohort study based in Perth, Western Australia (N = 2730). Tobacco smoking in adolescents, at age 17 years, was measured using a self-reported questionnaire. Log-binomial regression was used to estimate the relative risks (RRs) of tobacco smoking in offspring exposed to maternal prenatal tobacco use during the first and third trimesters of pregnancy. We have also calculated the E-values to investigate the potential effect of unmeasured confounding. Paternal smoking during pregnancy was used as a negative control for comparison. RESULTS A total of 1210 mothers-offspring pairs were included in the final analysis. After controlling for potential confounders, we found increased risks of tobacco smoking in offspring exposed to maternal prenatal tobacco use during the first trimester [RR 1.50 (95% CI: 1.13-1.97)] (E-value for point estimate = 2.37) and during both trimesters of pregnancy [RR 1.41 (95% CI: 1.03-1.89)] (E-value for point estimate = 2.17). However, we found insufficient statistical evidence for an association between paternal smoking during pregnancy and risk of tobacco smoking in offspring [RR 1.18 (95% CI: 0.84-1.67)]. CONCLUSION Maternal prenatal tobacco exposure was associated with an increased risk of tobacco smoking in offspring at the age of 17 years. Tobacco smoking cessation at the early stages of gestation may reduce the risk of tobacco smoking in the next generation.
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Dyer KIC, Sanfilippo PG, White SW, Guggenheim JA, Hammond CJ, Newnham JP, Mackey DA, Yazar S. Associations Between Fetal Growth Trajectories and the Development of Myopia by 20 Years of Age. Invest Ophthalmol Vis Sci 2021; 61:26. [PMID: 33355605 PMCID: PMC7774062 DOI: 10.1167/iovs.61.14.26] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Purpose To evaluate the contribution of genetic and early life environmental factors, as reflected by fetal anthropometric growth trajectories, toward the development of myopia during childhood and adolescence. Methods This analysis included 498 singleton Caucasian participants from the Raine Study, a pregnancy cohort study based in Western Australia. Serial fetal biometric measurements of these participants were collected via ultrasound scans performed at 18, 24, 28, 34, and 38 weeks’ gestation. At a 20-year follow-up, the participants underwent a comprehensive ophthalmic examination, including cycloplegic autorefraction and ocular biometry measurements. Using a group-based trajectory modeling approach, we identified groups of participants with similar growth trajectories based on measurements of fetal head circumference (HC), abdominal circumference, femur length (FL), and estimated fetal weight (EFW). Differences between trajectory groups with respect to prevalence of myopia, axial length (AL), and corneal radius of curvature measured at the 20-year follow-up were evaluated via logistic regression and analysis of variance. Results Prevalence of myopia was highest among participants with consistently short or consistently long FLs (P = 0.04). There was also a trend toward increased prevalence with larger HC in late gestation, although not at a statistically significant level. Trajectory groups reflecting faster HC, FL, or EFW growth correlated with significantly flatter corneas (P = 0.03, P = 0.04, and P = 0.01, respectively) and a general, but not statistically significant, increase in AL. Conclusions Environmental or genetic factors influencing intrauterine skeletal growth may concurrently affect ocular development, with effects persisting into adulthood.
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Affiliation(s)
- Kathleen I C Dyer
- Centre for Ophthalmology and Visual Science, Lions Eye Institute, University of Western Australia, Perth, Western Australia, Australia.,School of Medicine, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Western Australia, Australia
| | - Paul G Sanfilippo
- Centre for Ophthalmology and Visual Science, Lions Eye Institute, University of Western Australia, Perth, Western Australia, Australia.,Centre for Eye Research Australia, Department of Ophthalmology, University of Melbourne, Royal Victorian Eye and Ear Hospital, Melbourne, Victoria, Australia
| | - Scott W White
- Division of Obstetrics and Gynaecology, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Western Australia, Australia.,Maternal Fetal Medicine Service, King Edward Memorial Hospital, Perth, Western Australia, Australia
| | - Jeremy A Guggenheim
- School of Optometry and Vision Science, Cardiff University, Cardiff, South Glamorgan, United Kingdom
| | - Chris J Hammond
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - John P Newnham
- Division of Obstetrics and Gynaecology, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Western Australia, Australia.,Maternal Fetal Medicine Service, King Edward Memorial Hospital, Perth, Western Australia, Australia
| | - David A Mackey
- Centre for Ophthalmology and Visual Science, Lions Eye Institute, University of Western Australia, Perth, Western Australia, Australia
| | - Seyhan Yazar
- Centre for Ophthalmology and Visual Science, Lions Eye Institute, University of Western Australia, Perth, Western Australia, Australia.,Garvan Institute of Medical Research, Sydney, New South Wales, Australia
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48
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Pinot de Moira A, Haakma S, Strandberg-Larsen K, van Enckevort E, Kooijman M, Cadman T, Cardol M, Corpeleijn E, Crozier S, Duijts L, Elhakeem A, Eriksson JG, Felix JF, Fernández-Barrés S, Foong RE, Forhan A, Grote V, Guerlich K, Heude B, Huang RC, Järvelin MR, Jørgensen AC, Mikkola TM, Nader JLT, Pedersen M, Popovic M, Rautio N, Richiardi L, Ronkainen J, Roumeliotaki T, Salika T, Sebert S, Vinther JL, Voerman E, Vrijheid M, Wright J, Yang TC, Zariouh F, Charles MA, Inskip H, Jaddoe VWV, Swertz MA, Nybo Andersen AM. The EU Child Cohort Network's core data: establishing a set of findable, accessible, interoperable and re-usable (FAIR) variables. Eur J Epidemiol 2021; 36:565-580. [PMID: 33884544 PMCID: PMC8159791 DOI: 10.1007/s10654-021-00733-9] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 02/14/2021] [Indexed: 10/24/2022]
Abstract
The Horizon2020 LifeCycle Project is a cross-cohort collaboration which brings together data from multiple birth cohorts from across Europe and Australia to facilitate studies on the influence of early-life exposures on later health outcomes. A major product of this collaboration has been the establishment of a FAIR (findable, accessible, interoperable and reusable) data resource known as the EU Child Cohort Network. Here we focus on the EU Child Cohort Network's core variables. These are a set of basic variables, derivable by the majority of participating cohorts and frequently used as covariates or exposures in lifecourse research. First, we describe the process by which the list of core variables was established. Second, we explain the protocol according to which these variables were harmonised in order to make them interoperable. Third, we describe the catalogue developed to ensure that the network's data are findable and reusable. Finally, we describe the core data, including the proportion of variables harmonised by each cohort and the number of children for whom harmonised core data are available. EU Child Cohort Network data will be analysed using a federated analysis platform, removing the need to physically transfer data and thus making the data more accessible to researchers. The network will add value to participating cohorts by increasing statistical power and exposure heterogeneity, as well as facilitating cross-cohort comparisons, cross-validation and replication. Our aim is to motivate other cohorts to join the network and encourage the use of the EU Child Cohort Network by the wider research community.
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Affiliation(s)
- Angela Pinot de Moira
- Section for Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
| | - Sido Haakma
- Genomics Coordination Center, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Katrine Strandberg-Larsen
- Section for Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Esther van Enckevort
- Genomics Coordination Center, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Marjolein Kooijman
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Tim Cadman
- Population Health Science, Bristol Medical School, Bristol, BS8 2BN, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, BS8 2PS, UK
| | - Marloes Cardol
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Eva Corpeleijn
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Sarah Crozier
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Applied Research Collaboration Wessex, Southampton Science Park, Innovation Centre, 2 Venture Road, Chilworth, Southampton, SO16 7NP, UK
| | - Liesbeth Duijts
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Ahmed Elhakeem
- Population Health Science, Bristol Medical School, Bristol, BS8 2BN, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, BS8 2PS, UK
| | - Johan G Eriksson
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
- Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science and Technology (A*STAR), Singapore, Singapore
| | - Janine F Felix
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Sílvia Fernández-Barrés
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Rachel E Foong
- Telethon Kids Institute, Perth, WA, Australia
- School of Physiotherapy and Exercise Science, Curtin University, Perth, WA, Australia
| | - Anne Forhan
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), INSERM, INRAE, Paris, France
| | - Veit Grote
- Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr. von Hauner Children's Hospital, LMU University Hospital Munich, Munich, Germany
| | - Kathrin Guerlich
- Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr. von Hauner Children's Hospital, LMU University Hospital Munich, Munich, Germany
| | - Barbara Heude
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), INSERM, INRAE, Paris, France
| | | | - Marjo-Riitta Järvelin
- Faculty of Medicine, Center for Life-Course Health Research, University of Oulu, P.O. Box 5000, 90014, Oulu, Finland
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Anne Cathrine Jørgensen
- Section for Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Tuija M Mikkola
- Folkhälsan Research Center, Helsinki, Finland
- Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Johanna L T Nader
- Department of Genetics and Bioinformatics, Division of Health Data and Digitalisation, Norwegian Institute of Public Health, Oslo, Norway
| | - Marie Pedersen
- Section for Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Maja Popovic
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Nina Rautio
- Faculty of Medicine, Center for Life-Course Health Research, University of Oulu, P.O. Box 5000, 90014, Oulu, Finland
| | - Lorenzo Richiardi
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Justiina Ronkainen
- Faculty of Medicine, Center for Life-Course Health Research, University of Oulu, P.O. Box 5000, 90014, Oulu, Finland
| | - Theano Roumeliotaki
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece
| | - Theodosia Salika
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
| | - Sylvain Sebert
- Faculty of Medicine, Center for Life-Course Health Research, University of Oulu, P.O. Box 5000, 90014, Oulu, Finland
| | - Johan L Vinther
- Section for Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Ellis Voerman
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Martine Vrijheid
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Tiffany C Yang
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Faryal Zariouh
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), INSERM, INRAE, Paris, France
| | - Marie-Aline Charles
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), INSERM, INRAE, Paris, France
- ELFE Joint Unit, French Institute for Demographic Studies (Ined), French Institute for Medical Research and Health (INSERM), French Blood Agency, Aubervilliers, France
| | - Hazel Inskip
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Vincent W V Jaddoe
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Morris A Swertz
- Genomics Coordination Center, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Anne-Marie Nybo Andersen
- Section for Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
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Lafontaine N, Campbell PJ, Castillo-Fernandez JE, Mullin S, Lim EM, Kendrew P, Lewer M, Brown SJ, Huang RC, Melton PE, Mori TA, Beilin LJ, Dudbridge F, Spector TD, Wright MJ, Martin NG, McRae AF, Panicker V, Zhu G, Walsh JP, Bell JT, Wilson SG. Epigenome-Wide Association Study of Thyroid Function Traits Identifies Novel Associations of fT3 With KLF9 and DOT1L. J Clin Endocrinol Metab 2021; 106:e2191-e2202. [PMID: 33484127 PMCID: PMC8063248 DOI: 10.1210/clinem/dgaa975] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Indexed: 12/12/2022]
Abstract
CONTEXT Circulating concentrations of free triiodothyronine (fT3), free thyroxine (fT4), and thyrotropin (TSH) are partly heritable traits. Recent studies have advanced knowledge of their genetic architecture. Epigenetic modifications, such as DNA methylation (DNAm), may be important in pituitary-thyroid axis regulation and action, but data are limited. OBJECTIVE To identify novel associations between fT3, fT4, and TSH and differentially methylated positions (DMPs) in the genome in subjects from 2 Australian cohorts. METHOD We performed an epigenome-wide association study (EWAS) of thyroid function parameters and DNAm using participants from: Brisbane Systems Genetics Study (median age 14.2 years, n = 563) and the Raine Study (median age 17.0 years, n = 863). Plasma fT3, fT4, and TSH were measured by immunoassay. DNAm levels in blood were assessed using Illumina HumanMethylation450 BeadChip arrays. Analyses employed generalized linear mixed models to test association between DNAm and thyroid function parameters. Data from the 2 cohorts were meta-analyzed. RESULTS We identified 2 DMPs with epigenome-wide significant (P < 2.4E-7) associations with TSH and 6 with fT3, including cg00049440 in KLF9 (P = 2.88E-10) and cg04173586 in DOT1L (P = 2.09E-16), both genes known to be induced by fT3. All DMPs had a positive association between DNAm and TSH and a negative association between DNAm and fT3. There were no DMPs significantly associated with fT4. We identified 23 differentially methylated regions associated with fT3, fT4, or TSH. CONCLUSIONS This study has demonstrated associations between blood-based DNAm and both fT3 and TSH. This may provide insight into mechanisms underlying thyroid hormone action and/or pituitary-thyroid axis function.
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Affiliation(s)
- Nicole Lafontaine
- Department of Endocrinology & Diabetes, Sir Charles Gairdner Hospital, Nedlands, WA, Australia
- Medical School, University of Western Australia, Crawley, WA, Australia
- Correspondence: Nicole Lafontaine, MBBS, BMedSci, RACP, Department of Endocrinology & Diabetes, Level 1, Building C, QEII Medical Centre, Sir Charles Gairdner Hospital, Hospital Ave, Nedlands, WA 6009, Australia.
| | - Purdey J Campbell
- Department of Endocrinology & Diabetes, Sir Charles Gairdner Hospital, Nedlands, WA, Australia
| | | | - Shelby Mullin
- Department of Endocrinology & Diabetes, Sir Charles Gairdner Hospital, Nedlands, WA, Australia
| | - Ee Mun Lim
- Department of Endocrinology & Diabetes, Sir Charles Gairdner Hospital, Nedlands, WA, Australia
- Pathwest Laboratory Medicine, Nedlands, WA, Australia
| | | | | | - Suzanne J Brown
- Department of Endocrinology & Diabetes, Sir Charles Gairdner Hospital, Nedlands, WA, Australia
| | - Rae-Chi Huang
- Telethon Kids Institute, University of Western Australia, Perth, Australia
| | - Phillip E Melton
- School of Biomedical Sciences, University of Western Australia, Perth, Australia
- School of Pharmacy and Biomedical Sciences, Curtin University, Perth, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Trevor A Mori
- Medical School, Royal Perth Hospital Unit, University of Western Australia, Perth, WA, Australia
| | - Lawrence J Beilin
- Medical School, Royal Perth Hospital Unit, University of Western Australia, Perth, WA, Australia
| | - Frank Dudbridge
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Tim D Spector
- Department of Twin Research & Genetic Epidemiology, King’s College London, London, UK
| | - Margaret J Wright
- Queensland Brain Institute, University of Queensland, Brisbane, Australia
- Centre for Advanced Imaging, University of Queensland, Brisbane, Australia
| | | | - Allan F McRae
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia
| | - Vijay Panicker
- Department of Endocrinology & Diabetes, Sir Charles Gairdner Hospital, Nedlands, WA, Australia
| | - Gu Zhu
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - John P Walsh
- Department of Endocrinology & Diabetes, Sir Charles Gairdner Hospital, Nedlands, WA, Australia
- Medical School, University of Western Australia, Crawley, WA, Australia
| | - Jordana T Bell
- Department of Twin Research & Genetic Epidemiology, King’s College London, London, UK
| | - Scott G Wilson
- Department of Endocrinology & Diabetes, Sir Charles Gairdner Hospital, Nedlands, WA, Australia
- Department of Twin Research & Genetic Epidemiology, King’s College London, London, UK
- School of Biomedical Sciences, University of Western Australia, Perth, Australia
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50
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Maternal depressive and anxiety symptoms and the risk of attention deficit hyperactivity disorder symptoms in offspring aged 17: Findings from the Raine Study. J Affect Disord 2021; 284:149-156. [PMID: 33601244 DOI: 10.1016/j.jad.2021.02.024] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 02/01/2021] [Accepted: 02/03/2021] [Indexed: 11/22/2022]
Abstract
BACKGROUND While previous studies have suggested that maternal anxiety and depressive symptoms are associated with increased risk of attention-deficit/hyperactivity disorder (ADHD) in their offspring in early and late childhood, studies exploring the risk in late adolescence are however lacking. This study aims to examine the association between maternal anxiety and depressive symptoms and the risk of ADHD symptoms in late adolescence (at age 17). METHODS We used data from the Raine Study. Maternal depressive and anxiety symptoms were measured when the child was 10 years of age using the Depression, Anxiety, and Stress Scale (DASS). Offspring ADHD symptoms at age 17 were assessed using the DSM-oriented scales of the child behavior checklist (CBCL). Log-binomial regression was used to explore the associations. RESULTS We found an increased risk of ADHD symptoms in offspring of mothers with comorbid anxiety and depressive symptoms when compared with offspring of mothers with no symptoms [RR 5.60 (95%CI 3.02-10.37)]. There was a nearly three-fold increase in the risk of ADHD symptoms in offspring of mothers with increased anxiety symptoms compared with offspring of mothers who were in the normal range [RR 2.84 (95%CI 1.18-6.83)]. No association was observed with maternal depressive symptoms. CONCLUSION This study found an increased risk of ADHD symptoms in the offspring of mothers with anxiety as well as comorbid anxiety and depressive symptoms but not among the offspring of mothers with depressive symptoms. Early screening and intervention for ADHD symptoms in offspring with maternal anxiety and comorbid anxiety and depressive symptoms are warranted.
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