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Chia A, Toh JY, Natarajan P, Cai S, Ong YY, Descarpentrie A, Lioret S, Bernard JY, Müller-Riemenschneider F, Godfrey KM, Tan KH, Chong YS, Eriksson JG, Chong MFF. Trajectories of lifestyle patterns from 2 to 8 years of age and cardiometabolic risk in children: the GUSTO study. Int J Behav Nutr Phys Act 2024; 21:9. [PMID: 38279175 PMCID: PMC10811908 DOI: 10.1186/s12966-024-01564-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 01/19/2024] [Indexed: 01/28/2024] Open
Abstract
BACKGROUND Tracking combinations of lifestyle behaviours during childhood ("lifestyle pattern trajectories") can identify subgroups of children that might benefit from lifestyle interventions aiming to improve health outcomes later in life. However, studies on the critical transition period from early to middle childhood are limited. We aimed to describe lifestyle patterns trajectories in children from 2 to 8 years of age and evaluated their associations with cardiometabolic risk markers at age 8 years in a multi-ethnic Asian cohort. METHODS Twelve lifestyle behaviours related to child's diet, physical activity, screen use, and sleep were ascertained using questionnaires at ages 2, 5, and 8 years. Age-specific lifestyle patterns were derived using principal component analysis and trajectories were determined using group-based multi-trajectory modelling. Child cardiometabolic risk markers were assessed at age 8 years, and associations with trajectories examined using multiple regression, adjusted for confounders. RESULTS Among 546 children, two lifestyle patterns "healthy" and "unhealthy" were observed at ages 2, 5, and 8 years separately. Three trajectory groups from 2 to 8 years were identified: consistently healthy (11%), consistently unhealthy (18%), and mixed pattern (71%). Children in the consistently unhealthy group (vs. mixed pattern) had increased odds of pre-hypertension (OR = 2.96 [95% CI 1.18-7.41]) and higher levels of diastolic blood pressure (β = 1.91 [0.27-3.55] mmHg), homeostasis model assessment of insulin resistance (β = 0.43 [0.13-0.74]), triglycerides (β = 0.11 [0.00-0.22] mmol/L), and metabolic syndrome score (β = 0.85 [0.20-1.49]), but not with BMI z-score or any anthropometric measurements. The consistently healthy group showed no differences in cardiometabolic outcomes compared to the mixed pattern group. CONCLUSION Three distinct lifestyle pattern trajectories were identified from early to middle childhood. Children in the consistently unhealthy lifestyle group did not have a raised BMI but was associated with several elevated cardiometabolic risk markers. These findings suggest the potential benefits of initiating holistic lifestyle interventions to improve children's health and well-being from an early age. TRIAL REGISTRATION Trial registration number: NCT01174875. Name of registry: ClinicalTrials.gov. URL of registry: https://classic. CLINICALTRIALS gov/ct2/show/NCT01174875 . Date of registration: August 4, 2010. Date of enrolment of the first participant to the trial: June 2009.
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Affiliation(s)
- Airu Chia
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Tahir Foundation Building, 12 Science Drive 2, #12 - 01, Singapore, 117549, Singapore.
| | - Jia Ying Toh
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Padmapriya Natarajan
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Tahir Foundation Building, 12 Science Drive 2, #12 - 01, Singapore, 117549, Singapore
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Shirong Cai
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yi Ying Ong
- Department of Social and Behavioural Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Alexandra Descarpentrie
- Centre for Research in Epidemiology and Statistics (CRESS), Université Paris Cité and Université Sorbonne Paris Nord, INRAE, Paris, F-75004, France
| | - Sandrine Lioret
- Centre for Research in Epidemiology and Statistics (CRESS), Université Paris Cité and Université Sorbonne Paris Nord, INRAE, Paris, F-75004, France
| | - Jonathan Y Bernard
- Centre for Research in Epidemiology and Statistics (CRESS), Université Paris Cité and Université Sorbonne Paris Nord, INRAE, Paris, F-75004, France
| | - Falk Müller-Riemenschneider
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Tahir Foundation Building, 12 Science Drive 2, #12 - 01, Singapore, 117549, Singapore
- Digital Health Center, Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Centre and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Kok Hian Tan
- Duke-NUS Medical School, Singapore, Singapore
- Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore, Singapore
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Johan G Eriksson
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Research Centre, Helsinki, Finland
| | - Mary F-F Chong
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Tahir Foundation Building, 12 Science Drive 2, #12 - 01, Singapore, 117549, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
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Lee YQ, Chia A, Whitton C, Cameron-Smith D, Sim X, van Dam RM, F-F Chong M. Isocaloric Substitution of Plant-Based Protein for Animal-Based Protein and Cardiometabolic Risk Factors in a Multiethnic Asian Population. J Nutr 2023; 153:1555-1566. [PMID: 36963499 PMCID: PMC10196602 DOI: 10.1016/j.tjnut.2023.03.024] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 03/15/2023] [Indexed: 03/26/2023] Open
Abstract
BACKGROUND Evidence is accumulating that intake of animal-based and plant-based proteins has different effects on cardiometabolic health, but less is known about the health effect of isocaloric substitution of animal-based and plant-based proteins. Data from Asian populations are limited. OBJECTIVES This study aimed to evaluate the effects of isocaloric substitution of total plant-based proteins for total and various animal-based protein food groups and to evaluate the effects of substituting protein from legumes and pulses for various animal-based protein food groups on cardiovascular disease (CVD) risk factors and predicted 10-y CVD risk. METHODS We conducted a cross-sectional analysis using data collected from 9211 Singapore residents (aged 21-75 y) from the Singapore Multi-Ethnic Cohort. Data on sociodemographic and lifestyle factors were collected using questionnaires. Dietary intakes were assessed using a validated FFQ. BMI, waist circumference, and blood pressure were measured during a physical examination, and blood samples were collected to measure lipid profiles. Associations were assessed by substitution models using a multiple linear regression analysis. RESULTS Isocaloric substitution of total plant-based proteins for total and all specific animal-based protein food groups were associated with lower BMI (β: -0.30; 95% CI: -0.38, -0.22), waist circumference (β: -0.85; 95% CI: -1.04, -0.66), and LDL cholesterol concentrations (β: -0.06; 95% CI: -0.08, -0.05) (P < 0.0056). Replacement of processed meat and processed seafood proteins with total plant-based proteins was associated with improvement in most CVD risk factors and predicted 10-y CVD risk. Replacement of oily fish with legume proteins was associated with lower HDL cholesterol and higher TG concentrations. CONCLUSIONS The substitution of plant-based proteins for animal-based proteins, especially from processed meat and processed seafood, was inversely associated with the established CVD risk factors such as BMI, waist circumference, and lipid concentrations and predicted 10-y CVD risk. These findings warrant further investigation in independent studies in other Asian populations.
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Affiliation(s)
- Yu Qi Lee
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
| | - Airu Chia
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Clare Whitton
- School of Population Health, Faculty of Health Sciences, Curtin University, Perth, Western Australia, Australia
| | - David Cameron-Smith
- College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, Australia
| | - Xueling Sim
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore; Departments of Exercise and Nutrition Sciences and Epidemiology, Milken Institute School of Public Health, George Washington University, Washington DC, United States
| | - Mary F-F Chong
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore; Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
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Descarpentrie A, Bernard JY, Vandentorren S, Melchior M, Galéra C, Chia A, Chong MFF, Charles MA, Heude B, Lioret S. Prospective associations of lifestyle patterns in early childhood with socio-emotional and behavioural development and BMI: An outcome-wide analysis of the EDEN mother-child cohort. Paediatr Perinat Epidemiol 2023; 37:69-80. [PMID: 36146899 DOI: 10.1111/ppe.12926] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 08/29/2022] [Accepted: 09/07/2022] [Indexed: 02/01/2023]
Abstract
BACKGROUND Children's energy balance-related behaviours (EBRB), comprising diet, screen time, physical activity, and sleep, combine into "lifestyle patterns", which may exert a synergistic effect on health. To date, studies investigating this synergy have primarily focused on obesity risk, without addressing other facets of health. OBJECTIVES To examine the prospective associations of preschoolers' lifestyle patterns with socio-emotional, behavioural, and body mass index (BMI) outcomes at 8 years. METHODS Participants were 876 children from the EDEN mother-child cohort. Three lifestyle patterns (unhealthy, healthy, and mixed) were previously identified at age 5, separately in boys and girls. At age 8, height and weight measures generated BMI z-scores while social-emotional and behavioural development was assessed by parents using the Strengths and Difficulties Questionnaire (SDQ). Drawing from the outcome-wide approach, sex- and outcome-specific adjusted linear regressions were fitted. RESULTS Boys' adherence to a healthy lifestyle pattern (combining a nutrient-dense diet and limited screen time) at 5 years was positively associated with prosocial behaviours (β = 0.14; 95% confidence interval [CI] 0.01, 0.26) and inversely related to hyperactivity-inattention symptoms (β = -0.12; 95% CI -0.23, -0.01) at 8 years. Girls' mixed lifestyle pattern (sugar or artificially sweetened beverages, high screen, physical activity and low sleep times) was associated with prosocial behaviours (β = 0.12; 95% CI 0.01, 0.23). There was no evidence of associations between lifestyle patterns and BMI z-scores. CONCLUSIONS Findings suggest synergistic benefits of engaging in a combination of optimal EBRBs, especially in boys, and support intervention efforts at preschool age to enhance some dimensions of their later socio-emotional and behavioural development.
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Affiliation(s)
- Alexandra Descarpentrie
- Université Paris Cité, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Jonathan Y Bernard
- Université Paris Cité, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France.,Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Stephanie Vandentorren
- Université Bordeaux, Inserm, UMR1219, Vintage Team, Bordeaux, France.,Santé publique France, French national public health agency, Saint-Maurice, France
| | - Maria Melchior
- Sorbonne Université, Inserm, IPLESP, ERES UMRS 1136, Paris, France
| | - Cédric Galéra
- Bordeaux Population Health Research Centre, INSERM U 1219, Bordeaux, France.,Université de Bordeaux, Bordeaux, France.,Department of Child and Adolescent Psychiatry, Centre Hospitalier Charles Perrens, Bordeaux, France
| | - Airu Chia
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Mary F-F Chong
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.,Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Marie-Aline Charles
- Université Paris Cité, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Barbara Heude
- Université Paris Cité, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
| | - Sandrine Lioret
- Université Paris Cité, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, France
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Ong YY, Pang WW, Michael N, Aris IM, Sadananthan SA, Tint MT, Liang Choo JT, Ling LH, Karnani N, Velan SS, Fortier MV, Tan KH, Gluckman PD, Yap F, Chong YS, Godfrey KM, Chan SY, Eriksson JG, Chong MFF, Wlodek ME, Lee YS. Timing of introduction of complementary foods, breastfeeding, and child cardiometabolic risk: a prospective multiethnic Asian cohort study. Am J Clin Nutr 2023; 117:83-92. [PMID: 36789947 DOI: 10.1016/j.ajcnut.2022.10.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 09/22/2022] [Accepted: 10/28/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND The timing of introduction of complementary foods and the duration of breastfeeding (BF) have been independently associated with child overweight and obesity; however, their combined influence on body fat partitioning and cardiometabolic risk is unclear. OBJECTIVE We investigated the associations of the timing of introduction of complementary foods, the duration of BF, and their interaction with child adiposity and cardiometabolic risk markers. METHODS We analyzed data from 839 children in the prospective Growing Up in Singapore Towards healthy Outcomes (GUSTO) cohort. Mothers reported the age at which infants were first fed complementary foods and BF duration, classified as early (≤4 mo) versus typical (>4 mo) complementary feeding (CF) and short (≤4 mo) versus long (>4 mo) duration of any BF, respectively. We measured adiposity and cardiometabolic risk markers at the age of 6 y and examined their associations with infant feeding patterns using multiple regression, adjusting for sociodemographics, parents' body mass index (BMI), maternal factors, birth weight for gestational age, and infant weight gain. RESULTS Of 839 children, 18% experienced early CF, whereas 54% experienced short BF. Short (vs. long) BF and early (vs. typical) CF were independently associated with higher z-scores of BMI [β (95% confidence interval), short BF, 0.18 standard deviation score (SDS) (-0.01, 0.38); early CF, 0.34 SDS (0.11, 0.57)] and sum of skinfolds [short BF, 1.83 mm (0.05, 3.61); early CF, 2.73 mm (0.55, 4.91)]. Children who experienced both early CF and short BF (vs. typical CF-long BF) had synergistically higher diastolic blood pressure [1.41 mmHg (-0.15, 2.97), P-interaction = 0.023] and metabolic syndrome score [0.81 (0.16, 1.47), P-interaction = 0.081]. Early CF-long BF (vs. early CF-short BF) was associated with a lower systolic blood pressure [-3.74 mmHg (-7.01, -0.48)], diastolic blood pressure [-2.29 mmHg (-4.47, -0.11)], and metabolic syndrome score [-0.90 (-1.80, 0.00)]. CONCLUSIONS A combination of early CF and short BF was associated with elevated child adiposity and cardiometabolic markers. Longer BF duration may protect against cardiometabolic risk associated with early CF. This trial was registered at clinicaltrials.gov as NCT01174875.
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Affiliation(s)
- Yi Ying Ong
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore; Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Wei Wei Pang
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore
| | - Navin Michael
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Republic of Singapore
| | - Izzuddin M Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Suresh Anand Sadananthan
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Republic of Singapore
| | - Mya-Thway Tint
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Republic of Singapore
| | | | - Lieng Hsi Ling
- Department of Cardiology, National University Heart Centre, National University Hospital, Singapore, Republic of Singapore
| | - Neerja Karnani
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Republic of Singapore
| | - S Sendhil Velan
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Republic of Singapore
| | - Marielle V Fortier
- Department of Diagnostic and Interventional Imaging, KK Women's and Children's Hospital, Singapore, Republic of Singapore
| | - Kok Hian Tan
- Duke-NUS Medical School, Singapore, Republic of Singapore; Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore, Republic of Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Republic of Singapore; Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Fabian Yap
- KK Women's and Children's Hospital, Singapore, Republic of Singapore; Duke-NUS Medical School, Singapore, Republic of Singapore
| | - Yap-Seng Chong
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore; Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Republic of Singapore
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Centre and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Shiao-Yng Chan
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore; Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Republic of Singapore
| | - Johan G Eriksson
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore; Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Republic of Singapore; Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland; Folkhälsan Research Center, Helsinki, Finland
| | - Mary F-F Chong
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Republic of Singapore; Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Republic of Singapore
| | - Mary E Wlodek
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore; Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Republic of Singapore; Department of Obstetrics and Gynaecology, University of Melbourne, Melbourne, Australia
| | - Yung Seng Lee
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore; Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Republic of Singapore; Division of Paediatric Endocrinology, Department of Paediatrics, Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, Singapore, Republic of Singapore.
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5
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Ong YY, Pang WW, Huang JY, Aris IM, Sadananthan SA, Tint MT, Yuan WL, Chen LW, Chan YH, Karnani N, Velan SS, Fortier MV, Choo J, Ling LH, Shek L, Tan KH, Gluckman PD, Yap F, Chong YS, Godfrey KM, Chong MFF, Chan SY, Eriksson JG, Wlodek ME, Lee YS, Michael N. Breastfeeding may benefit cardiometabolic health of children exposed to increased gestational glycemia in utero. Eur J Nutr 2022; 61:2383-2395. [PMID: 35124728 PMCID: PMC7613060 DOI: 10.1007/s00394-022-02800-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 01/06/2022] [Indexed: 02/03/2023]
Abstract
PURPOSE There is altered breastmilk composition among mothers with gestational diabetes and conflicting evidence on whether breastfeeding is beneficial or detrimental to their offspring's cardiometabolic health. We aimed to investigate associations between breastfeeding and offspring's cardiometabolic health across the range of gestational glycemia. METHODS We included 827 naturally conceived, term singletons from a prospective mother-child cohort. We measured gestational (26-28 weeks) fasting plasma glucose (FPG) and 2-h plasma glucose (2 hPG) after an oral glucose tolerance test as continuous variables. Participants were classified into 2 breastfeeding categories (high/intermediate vs. low) according to their breastfeeding duration and exclusivity. Main outcome measures included magnetic resonance imaging (MRI)-measured abdominal fat, intramyocellular lipids (IMCL), and liver fat, quantitative magnetic resonance (QMR)-measured body fat mass, blood pressure, blood lipids, and insulin resistance at 6 years old (all continuous variables). We evaluated if gestational glycemia (FPG and 2 hPG) modified the association of breastfeeding with offspring outcomes after adjusting for confounders using a multiple linear regression model that included a 'gestational glycemia × breastfeeding' interaction term. RESULTS With increasing gestational FPG, high/intermediate (vs. low) breastfeeding was associated with lower levels of IMCL (p-interaction = 0.047), liver fat (p-interaction = 0.033), and triglycerides (p-interaction = 0.007), after adjusting for confounders. Specifically, at 2 standard deviations above the mean gestational FPG level, high/intermediate (vs. low) breastfeeding was linked to lower adjusted mean IMCL [0.39% of water signal (0.29, 0.50) vs. 0.54% of water signal (0.46, 0.62)], liver fat [0.39% by weight (0.20, 0.58) vs. 0.72% by weight (0.59, 0.85)], and triglycerides [0.62 mmol/L (0.51, 0.72) vs. 0.86 mmol/L (0.75, 0.97)]. 2 hPG did not significantly modify the association between breastfeeding and childhood cardiometabolic risk. CONCLUSION Our findings suggest breastfeeding may confer protection against adverse fat partitioning and higher triglyceride concentration among children exposed to increased glycemia in utero.
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Affiliation(s)
- Yi Ying Ong
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Wei Wei Pang
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Jonathan Y Huang
- Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 30 Medical Drive, Singapore, 117609, Singapore
| | - Izzuddin M Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Suresh Anand Sadananthan
- Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 30 Medical Drive, Singapore, 117609, Singapore
| | - Mya-Thway Tint
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 30 Medical Drive, Singapore, 117609, Singapore
| | - Wen Lun Yuan
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Ling-Wei Chen
- Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 30 Medical Drive, Singapore, 117609, Singapore
| | - Yiong Huak Chan
- Biostatistics Unit, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Neerja Karnani
- Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 30 Medical Drive, Singapore, 117609, Singapore
| | - S Sendhil Velan
- Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 30 Medical Drive, Singapore, 117609, Singapore
- Singapore Bioimaging Consortium, Agency for Science Technology and Research, Singapore, Singapore
| | - Marielle V Fortier
- Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 30 Medical Drive, Singapore, 117609, Singapore
- Department of Diagnostic and Interventional Imaging, KK Women's and Children's Hospital, Singapore, Singapore
| | - Jonathan Choo
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore, Singapore
| | - Lieng Hsi Ling
- Department of Cardiology, National University Heart Centre, Singapore, Singapore
| | - Lynette Shek
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 30 Medical Drive, Singapore, 117609, Singapore
- Division of Paediatric Endocrinology, Department of Paediatrics, Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, Singapore, Singapore
| | - Kok Hian Tan
- Duke-NUS Medical School, Singapore, Singapore
- Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore, Singapore
| | - Peter D Gluckman
- Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 30 Medical Drive, Singapore, 117609, Singapore
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Fabian Yap
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Yap-Seng Chong
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 30 Medical Drive, Singapore, 117609, Singapore
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Mary F-F Chong
- Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 30 Medical Drive, Singapore, 117609, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Shiao-Yng Chan
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 30 Medical Drive, Singapore, 117609, Singapore
| | - Johan G Eriksson
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 30 Medical Drive, Singapore, 117609, Singapore
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - Mary E Wlodek
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 30 Medical Drive, Singapore, 117609, Singapore
- Department of Physiology, University of Melbourne, Melbourne, Australia
| | - Yung Seng Lee
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 30 Medical Drive, Singapore, 117609, Singapore.
- Division of Paediatric Endocrinology, Department of Paediatrics, Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, Singapore, Singapore.
| | - Navin Michael
- Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, 30 Medical Drive, Singapore, 117609, Singapore.
- , 1E Kent Ridge Road, NUHS Tower Block Level 12, Singapore, 119228, Singapore.
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Ong YY, Tint MT, Aris IM, Yuan WL, Chen LW, Fortier MV, Choo J, Ling LH, Shek L, Tan KH, Gluckman PD, Yap F, Chong YS, Godfrey KM, Chong MFF, Chan SY, Eriksson JG, Wlodek ME, De Lucia Rolfe E, Ong KK, Michael N, Lee YS. Newborn body composition and child cardiovascular risk markers: a prospective multi-ethnic Asian cohort study. Int J Epidemiol 2022; 51:1835-1846. [PMID: 35906917 PMCID: PMC9749728 DOI: 10.1093/ije/dyac154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 07/21/2022] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Early epidemiological studies have associated low birthweight with increased cardiovascular risk. We aimed to examine whether the fat and fat-free components of birthweight have differing relationships with childhood cardiovascular risk markers. METHODS In the Growing Up in Singapore Towards healthy Outcomes (GUSTO) cohort, air displacement plethysmography was conducted within 24 h after delivery in 290 naturally conceived singletons. We investigated associations of newborn cohort-specific standardized z-score of fat mass, fat-free mass, body fat percentage and birthweight on child (at 6 years of age) carotid intima-media thickness, pulse wave velocity, blood pressure, prehypertension/hypertension (>110/70 mmHg) and standardized systolic and diastolic blood pressure (SBP and DBP) trajectories (at 3-6 years of age), taking account of maternal education, height, tobacco exposure, parity, ethnicity, child's sex, gestational age, age at follow-up, and other maternal factors. RESULTS Clear inverse associations were seen for blood pressure with z-score of fat mass [SBP, β (95% CI): -1.31 mmHg (-2.57, -0.06); DBP: -0.79 mmHg (-1.74, 0.15)] and body fat percentage [SBP: -1.46 mmHg (-2.73, -0.19); DBP: -0.80 mmHg (-1.75, 0.16)], but not with fat-free mass [SBP: 0.27 mmHg (-1.29, 1.83)]; DBP: -0.14 mmHg (-1.30, 1.03)]. Being in the lowest tertile of fat mass or body fat percentage was associated with higher blood pressure trajectories and prehypertension/hypertension risk [OR (95% CI), fat mass: 4.23 (1.41, 12.68); body fat percentage: 3.22 (1.09, 9.53)] without concomitantly higher overweight/obesity risk. CONCLUSIONS At birth, low adiposity was associated with increased childhood blood pressure. Low newborn adiposity might serve as a marker of poor fetal growth or suboptimal intrauterine conditions associated with hypertension risk later in life.
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Affiliation(s)
- Yi Ying Ong
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Mya-Thway Tint
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore,Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore
| | - Izzuddin M Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Wen Lun Yuan
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Ling-Wei Chen
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore,Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Marielle V Fortier
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore,Department of Diagnostic and Interventional Imaging, KK Women's and Children's Hospital, Singapore
| | - Jonathan Choo
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore
| | - Lieng Hsi Ling
- Department of Cardiology, National University Heart Centre, Singapore
| | - Lynette Shek
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore,Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore,Department of Paediatrics, Khoo Teck Puat-National University Children’s Medical Institute, Singapore
| | - Kok Hian Tan
- Academic Medicine Department, Duke-NUS Medical School, Singapore,Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore,Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Fabian Yap
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore,Academic Medicine Department, Duke-NUS Medical School, Singapore
| | - Yap-Seng Chong
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore,Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Mary F-F Chong
- Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore,Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Shiao-Yng Chan
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore,Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore
| | - Johan G Eriksson
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore,Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore,Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland,Public Health Research Program, Folkhälsan Research Center, Helsinki, Finland
| | - Mary E Wlodek
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore,Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore
| | - Emanuella De Lucia Rolfe
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Ken K Ong
- Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | | | - Yung Seng Lee
- Corresponding author. Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, NUHS Tower Block Level 12, Singapore 119228, Singapore. E-mail:
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7
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Lim SX, Cox V, Rodrigues N, Colega MT, Barton SJ, Childs CE, Conlon CA, Wall CR, Cutfield WS, Chan SY, Godfrey KM, Chong MFF. Evaluation of Preconception Dietary Patterns in Women Enrolled in a Multisite Study. Curr Dev Nutr 2022; 6:nzac106. [PMID: 36628060 PMCID: PMC9817353 DOI: 10.1093/cdn/nzac106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 04/27/2022] [Accepted: 06/07/2022] [Indexed: 01/13/2023] Open
Abstract
Background Diet indices are widely used in nutritional research across communities but do not "capture" the full extent of diet variability across multiple countries. Empirically derived dietary patterns can provide additional information because they reflect combinations of foods potentially associated with health outcomes. Limited studies have evaluated preconception dietary patterns in heterogeneous populations. Objectives In the multisite Nutritional Intervention Preconception and During Pregnancy to Maintain Healthy Glucose Metabolism and Offspring Health (NiPPeR) study, the secondary aims included: 1) derive pooled and site-specific preconception dietary patterns, and 2) evaluate these patterns using anthropometric measures and metabolic biomarkers. Methods Women planning pregnancy (n = 1720) in the United Kingdom, Singapore, and New Zealand completed interviewer-administered harmonized FFQs and lifestyle questionnaires at recruitment. Across-cohort ("pooled") and site-specific dietary patterns were derived, and associations between dietary pattern scores and BMI, waist-to-hip ratio, plasma lipids, and glycemia assessed using multivariable linear regression, expressing results as SD change in outcome per SD change in dietary pattern score. Results The pooled analysis identified 3 dietary patterns: "Vegetables/Fruits/Nuts" ("Healthy"), "Fried potatoes/Processed meat/Sweetened beverages" ("Less Healthy"), and "Fish/Poultry/Noodles/Rice" ("Mixed"). The "Healthy" and "Less Healthy" pooled pattern scores were highly correlated with their corresponding site-specific dietary pattern scores ("Healthy": ρ = 0.87-0.93; "Less Healthy": ρ = 0.65-0.88). Women with higher scores for the "Healthy" pooled pattern had a lower waist-to-hip ratio (standardized β: -0.10; 95% CI: -0.18, -0.01); those with higher scores for the "Less Healthy" pooled pattern had a higher BMI (standardized β: 0.17; 95% CI: 0.09, 0.24), higher LDL cholesterol (standardized β: 0.10; 95% CI: 0.01, 0.19), and less optimal glucose profiles. However, we noted higher adherence to the "Healthy" pooled pattern with higher BMI. Conclusions The "Healthy" and "Less Healthy" pooled patterns were comparable to the corresponding site-specific patterns. Although the associations between these patterns and objective anthropometric/metabolic measures were largely in the expected directions, future studies are required to confirm these findings.This trial is registered at clinicaltrials.gov (NCT02509988).
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Affiliation(s)
- Shan Xuan Lim
- Saw Swee Hock School of Public Health, National University of Singapore and
National University Health System, Singapore
| | - Vanessa Cox
- Medical Research Council (MRC) Lifecourse Epidemiology Unit, University of
Southampton, Southampton, United
Kingdom
| | - Natasha Rodrigues
- Nutrition and Dietetics, Faculty of Medical and Health Sciences, University
of Auckland, Auckland, New Zealand
| | - Marjorelee T Colega
- Singapore Institute for Clinical Sciences, Agency for Science, Technology
and Research (A*STAR), Singapore
| | - Sheila J Barton
- Medical Research Council (MRC) Lifecourse Epidemiology Unit, University of
Southampton, Southampton, United
Kingdom
- National Institute for Health Research Southampton Biomedical Research
Center, University of Southampton and University Hospital Southampton National Health
Service Foundation Trust, Southampton, United
Kingdom
| | - Caroline E Childs
- Human Development and Health, Faculty of Medicine, University of
Southampton, Southampton, United
Kingdom
| | | | - Clare R Wall
- Nutrition and Dietetics, Faculty of Medical and Health Sciences, University
of Auckland, Auckland, New Zealand
| | - Wayne S Cutfield
- Liggins Institute, University of Auckland, Auckland, New Zealand
- A Better Start—National Science Challenge, New Zealand
| | - Shiao-Yng Chan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology
and Research (A*STAR), Singapore
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of
Medicine, National University of Singapore, Singapore
| | - Keith M Godfrey
- Medical Research Council (MRC) Lifecourse Epidemiology Unit, University of
Southampton, Southampton, United
Kingdom
- National Institute for Health Research Southampton Biomedical Research
Center, University of Southampton and University Hospital Southampton National Health
Service Foundation Trust, Southampton, United
Kingdom
| | - Mary F-F Chong
- Saw Swee Hock School of Public Health, National University of Singapore and
National University Health System, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology
and Research (A*STAR), Singapore
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8
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Chia A, Descarpentrie A, Cheong RN, Toh JY, Natarajan P, Sugianto R, Cai S, Saldanha-Gomes C, Dargent-Molina P, de Lauzon-Guillain B, Plancoulaine S, Lança C, Saw SM, Godfrey KM, Shek LP, Tan KH, Charles MA, Chong YS, Heude B, Eriksson JG, Müller-Riemenschneider F, Lioret S, Chong MFF, Bernard JY. Family-focused contextual factors associated with lifestyle patterns in young children from two mother-offspring cohorts: GUSTO and EDEN. Int J Behav Nutr Phys Act 2022; 19:26. [PMID: 35292047 PMCID: PMC8922741 DOI: 10.1186/s12966-022-01266-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 02/17/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Integrated patterns of energy balance-related behaviours of preschool children in Asia are sparse, with few comparative analyses. PURPOSE Using cohorts in Singapore (GUSTO) and France (EDEN), we characterized lifestyle patterns of children and investigated their associations with family-focused contextual factors. METHODS Ten behavioural variables related to child's diet, walking, outdoor play and screen time were ascertained by parental questionnaires at age 5-6 years. Using principal component analysis, sex-specific lifestyle patterns were derived independently for 630 GUSTO and 989 EDEN children. Contextual variables were organised into distal (family socio-economics, demographics), intermediate (parental health, lifestyle habits) and proximal (parent-child interaction factors) levels of influence and analysed with hierarchical linear regression. RESULTS Three broadly similar lifestyle patterns were identified in both cohorts: "discretionary consumption and high screen time", "fruit, vegetables, and low screen time" and "high outdoor playtime and walking". The latter two patterns showed small differences between cohorts and sexes. The "discretionary consumption and high screen time" pattern was consistently similar in both cohorts; distal associated factors were lower maternal education (EDEN boys), no younger siblings (GUSTO boys) and Malay/Indian ethnicity (GUSTO), while intermediate and proximal associated factors in both cohorts and sexes were poor maternal diets during pregnancy, parents allowing high child control over food intake, snacking between meals and having television on while eating. CONCLUSIONS Three similar lifestyle patterns were observed among preschool children in Singapore and France. There were more common associated proximal factors than distal ones. Cohort specific family-focused contextual factors likely reflect differences in social and cultural settings. Findings will aid development of strategies to improve child health.
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Affiliation(s)
- Airu Chia
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Alexandra Descarpentrie
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), Inserm, INRAE, F-75004, Paris, France
| | - Rene N Cheong
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Jia Ying Toh
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Padmapriya Natarajan
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Ray Sugianto
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Shirong Cai
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Cécilia Saldanha-Gomes
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), Inserm, INRAE, F-75004, Paris, France
| | - Patricia Dargent-Molina
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), Inserm, INRAE, F-75004, Paris, France
| | - Blandine de Lauzon-Guillain
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), Inserm, INRAE, F-75004, Paris, France
| | - Sabine Plancoulaine
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), Inserm, INRAE, F-75004, Paris, France
| | - Carla Lança
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - Seang Mei Saw
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Centre and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Lynette P Shek
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Kok Hian Tan
- Duke-NUS Medical School, Singapore, Singapore
- Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore, Singapore
| | - Marie-Aline Charles
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), Inserm, INRAE, F-75004, Paris, France
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Barbara Heude
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), Inserm, INRAE, F-75004, Paris, France
| | - Johan G Eriksson
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Research Centre, Helsinki, Finland
| | - Falk Müller-Riemenschneider
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Sandrine Lioret
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), Inserm, INRAE, F-75004, Paris, France.
| | - Mary F-F Chong
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Jonathan Y Bernard
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), Inserm, INRAE, F-75004, Paris, France
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
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9
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Sugianto R, Toh JY, Wong SF, Tint MT, Colega MT, Lee YS, Yap F, Shek LPC, Tan KH, Godfrey KM, Chong YS, Tai BC, Chong MFF. Dietary patterns of 5-year-old children and their correlates: findings from a multi-ethnic Asian cohort. Br J Nutr 2022; 127:763-772. [PMID: 33910654 PMCID: PMC7612427 DOI: 10.1017/s0007114521001434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
There is limited data on the dietary patterns of 5-year-old children in Asia. The study examined childhood dietary patterns and their maternal and child correlates in a multi-ethnic Asian cohort. Based on caregiver-reported 1-month quantitative FFQ of 777 children from the Growing Up in Singapore Towards healthy Outcomes cohort, cluster analysis identified two mutually exclusive clusters. Children in the 'Unhealthy' cluster (43·9 %) consumed more fries, processed meat, biscuits and ice cream, and less fish, fruits and vegetables compared with those in the 'Healthy' cluster (56·1 %). Children with mothers of lower educational attainment had twice the odds of being assigned to the 'Unhealthy' cluster (adjusted OR (95 % CI) = 2·19 (95 % CI 1·49-3·24)). Children of Malay and Indian ethnicities had higher odds of being assigned to the 'Unhealthy' cluster (adjusted OR = 25·46 (95 % CI 15·40, 42·10) and 4·03 (95 % CI 2·68-6·06), respectively), relative to Chinese ethnicity. In conclusion, this study identified two dietary patterns in children, labelled as the 'Unhealthy' and 'Healthy' clusters. Mothers' educational attainment and ethnicity were two correlates that were associated with the children's assignments to the clusters. These findings can assist in informing health promotion programmes targeted at Asian children.
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Affiliation(s)
- R Sugianto
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - JY Toh
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
| | - SF Wong
- Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
| | - MT Tint
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
| | - MT Colega
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
| | - YS Lee
- Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
- Khoo Teck Puat-National University Children’s Medical Institute, National University Hospital and National University Health System, Singapore
| | - F Yap
- Duke-NUS Medical School, Singapore
- KK Women’s and Children’s Hospital, Singapore
| | - LPC Shek
- Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
- Khoo Teck Puat-National University Children’s Medical Institute, National University Hospital and National University Health System, Singapore
| | - KH Tan
- Duke-NUS Medical School, Singapore
- KK Women’s and Children’s Hospital, Singapore
| | - KM Godfrey
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom
| | - YS Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
| | - BC Tai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
| | - MFF Chong
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
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10
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Chua SYL, Sabanayagam C, Tan CS, Lim LS, Toh JY, Chong YS, Gluckman PD, Yap F, Cheng CY, Ngo CS, Wong TY, Chong MFF, Saw SM. Diet and risk of myopia in three-year-old Singapore children: the GUSTO cohort. Clin Exp Optom 2018; 101:692-699. [PMID: 29577442 DOI: 10.1111/cxo.12677] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2017] [Revised: 01/07/2018] [Accepted: 02/11/2018] [Indexed: 12/01/2022] Open
Abstract
BACKGROUND To investigate the relationship between dietary intakes at six, nine and 12 months and risk of myopia in three-year-old children in a birth cohort. METHODS Three hundred and seventeen children from the Growing Up in Singapore Towards Healthy Outcomes (GUSTO) study were included. Dietary intake at six, nine and 12 months of age was ascertained using either 24-hour recalls or three-day food diaries completed by parents. Cycloplegia was achieved with three drops of one per cent cycloplentolate instilled at five minute intervals. Cycloplegic autorefraction and axial length (AL) were measured at three years of age with a table-mounted autorefractor and optical biometer, respectively. Myopia was defined as spherical equivalent (SE) of ≤ -0.50 D. Associations of dietary intake with SE, AL and myopia were examined by single dietary factor models using two multivariable regression models. Model 1 included adjusting for age, gender and total energy intake. Model 2 included additional adjustments for ethnicity, time spent outdoors, maternal education and parental myopia. RESULTS In the single dietary factor adjusted models, dietary intakes at six, nine and 12 months were not associated with SE, AL and myopia. In model 1, protein, fat and carbohydrate intakes were not associated with SE, AL and myopia at any of the three time points (p > 0.05). In model 2, protein, fat and carbohydrate intakes were not associated with SE, AL and myopia at any of the three time points (p > 0.05). CONCLUSIONS In this study, there was no evidence that diet at ages six, nine and 12 months was related to SE, AL or myopia at age three years. Further prospective studies with larger sample sizes are needed to understand the influence of diet on eye development in young children.
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Affiliation(s)
- Sharon Y-L Chua
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Charumathi Sabanayagam
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.,Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore.,Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
| | - Chuen-Seng Tan
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Laurence S Lim
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
| | - Jia-Ying Toh
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research (A*STAR), Singapore
| | - Yap-Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research (A*STAR), Singapore.,Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore and National Health System, Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research (A*STAR), Singapore.,Liggins Institute, The University of Auckland, Auckland, New Zealand
| | - Fabian Yap
- Department of Paediatric Endocrinology, KK Women's and Children's Hospital, Singapore
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.,Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore.,Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
| | - Cheryl S Ngo
- Department of Ophthalmology, National University Hospital, Singapore
| | - Tien-Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.,Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore.,Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
| | - Mary F-F Chong
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore.,Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research (A*STAR), Singapore
| | - Seang-Mei Saw
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore.,Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.,Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore
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11
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Jin Y, Gordon MH, Alimbetov D, Chong MFF, George TW, Spencer JPE, Kennedy OB, Tuohy K, Minihane AM, Lovegrove JA. A novel combined biomarker including plasma carotenoids, vitamin C, and ferric reducing antioxidant power is more strongly associated with fruit and vegetable intake than the individual components. J Nutr 2014; 144:1866-72. [PMID: 25332486 DOI: 10.3945/jn.114.192856] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Monitoring of fruit and vegetable (F&V) intake is fraught with difficulties. Available dietary assessment methods are associated with considerable error, and the use of biomarkers offers an attractive alternative. Few studies to date have examined the use of plasma biomarkers to monitor or predict the F&V intake of volunteers consuming a wide range of intakes from both habitual F&V and manipulated diets. OBJECTIVE This study tested the hypothesis that an integrated biomarker calculated from a combination of plasma vitamin C, cholesterol-adjusted carotenoid concentration and Ferric Reducing Antioxidant Power (FRAP) had more power to predict F&V intake than each individual biomarker. METHODS Data from a randomized controlled dietary intervention study [FLAVURS (Flavonoids University of Reading Study); n = 154] in which the test groups observed sequential increases of 2.3, 3.2, and 4.2 portions of F&Vs every 6 wk across an 18-wk period were used in this study. RESULTS An integrated plasma biomarker was devised that included plasma vitamin C, total cholesterol-adjusted carotenoids, and FRAP values, which better correlated with F&V intake (r = 0.47, P < 0.001) than the individual biomarkers (r = 0.33, P < 0.01; r = 0.37, P < 0.001; and r = 0.14, respectively; P = 0.099). Inclusion of urinary potassium concentration did not significantly improve the correlation. The integrated plasma biomarker predicted F&V intake more accurately than did plasma total cholesterol-adjusted carotenoid concentration, with the difference being significant at visit 2 (P < 0.001) and with a tendency to be significant at visit 1 (P = 0.07). CONCLUSION Either plasma total cholesterol-adjusted carotenoid concentration or the integrated biomarker could be used to distinguish between high- and moderate-F&V consumers. This trial was registered at www.controlled-trials.com as ISRCTN47748735.
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Affiliation(s)
- Yannan Jin
- Hugh Sinclair Unit of Human Nutrition and Institute of Cardiovascular and Metabolic Research, Department of Food and Nutritional Sciences, The University of Reading, Reading, Berks, UK
| | - Michael H Gordon
- Hugh Sinclair Unit of Human Nutrition and Institute of Cardiovascular and Metabolic Research, Department of Food and Nutritional Sciences, The University of Reading, Reading, Berks, UK
| | - Dauren Alimbetov
- Hugh Sinclair Unit of Human Nutrition and Institute of Cardiovascular and Metabolic Research, Department of Food and Nutritional Sciences, The University of Reading, Reading, Berks, UK
| | - Mary F-F Chong
- Hugh Sinclair Unit of Human Nutrition and Institute of Cardiovascular and Metabolic Research, Department of Food and Nutritional Sciences, The University of Reading, Reading, Berks, UK
| | - Trevor W George
- Hugh Sinclair Unit of Human Nutrition and Institute of Cardiovascular and Metabolic Research, Department of Food and Nutritional Sciences, The University of Reading, Reading, Berks, UK
| | - Jeremy P E Spencer
- Hugh Sinclair Unit of Human Nutrition and Institute of Cardiovascular and Metabolic Research, Department of Food and Nutritional Sciences, The University of Reading, Reading, Berks, UK
| | | | | | | | - Julie A Lovegrove
- Hugh Sinclair Unit of Human Nutrition and Institute of Cardiovascular and Metabolic Research, Department of Food and Nutritional Sciences, The University of Reading, Reading, Berks, UK
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Lee Y, Chong MFF, Liu JCJ, Libedinsky C, Gooley JJ, Chen S, Wu T, Tan V, Zhou M, Meaney MJ, Lee YS, Chee MWL. Dietary disinhibition modulates neural valuation of food in the fed and fasted states. Am J Clin Nutr 2013; 97:919-25. [PMID: 23553164 DOI: 10.3945/ajcn.112.053801] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Dietary disinhibition is a behavioral trait associated with weight gain and obesity. Because food choices are made according to the relative value assigned to each option, examination of valuation signals through functional magnetic resonance imaging (fMRI) may elucidate the neural basis for the association between dietary disinhibition and weight gain. OBJECTIVE We examined how food valuation signals differ in the fed and fasted states between persons with high dietary disinhibition (HD) and low dietary disinhibition (LD). DESIGN Sixteen men with HD and 14 with LD underwent fMRI once while fasted and once after being fed in a counterbalanced order. In-scanner preference to consume a test food relative to a neutral-tasting, neutral-health reference food was examined. The slope of magnetic resonance signal change corresponding to these food preferences constituted the food valuation signal that was compared across disinhibition group and satiety state. RESULTS Both the HD and LD participants reported being less hungry (F(1,28) = 113.11, P < 0.001) after being fed than when fasted. However, food valuation signals in the ventromedial prefrontal cortex (vmPFC) differed between the groups (F(1,28) = 21.34, P < 0.001). Although LD participants showed attenuated vmPFC activity after being fed (t(13) = 4.11, P < 0.001), HD participants showed greater vmPFC activity in the fed than in the fasted state (t(15) = -2.56, P < 0.05). CONCLUSIONS Despite reporting normal decreases in hunger ratings after being fed, persons with HD have an altered neural valuation of food. This may be a mechanism underlying their propensity to overeat and gain weight. This trial was registered at clinicaltrials.gov as NCT00988819.
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Affiliation(s)
- Ying Lee
- Neuroscience and Behavioural Disorders Program, Duke-NUS Graduate Medical School, Singapore, Singapore
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Chong MFF, Lockyer S, Saunders CJ, Lovegrove JA. Long chain n-3 PUFA-rich meal reduced postprandial measures of arterial stiffness. Clin Nutr 2010; 29:678-81. [PMID: 20199827 DOI: 10.1016/j.clnu.2010.02.001] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2009] [Revised: 12/16/2009] [Accepted: 02/01/2010] [Indexed: 01/22/2023]
Abstract
BACKGROUND & AIMS The consumption of long chain n-3 polyunsaturated fatty acids (LC n-3 PUFA) is known to be cardio-protective. Data on the influence of LC n-3 PUFA on arterial stiffness in the postprandial state is limited. The aim of this study was to investigate the acute effects of a LC n-3 PUFA-rich meal on measures of arterial stiffness. METHODS Twenty-five healthy subjects (12 men, 13 women) received a control and a LC n-3 PUFA-rich meal on two occasions in a random order. Arterial stiffness was measured at baseline, 30, 60, 90, 120, 180 and 240 min after meal consumption by pulse wave analysis and digital volume pulse to derive an augmentation index and a stiffness index respectively. Blood samples were taken for measurement of lipids, glucose and insulin. RESULTS Consumption of the LC n-3 PUFA-rich meal had an attenuating effect on augmentation index (P=0.02) and stiffness index (P=0.03) compared with the control meal. A significant treatment effect (P=0.036) was seen for plasma non-esterified fatty acids concentrations. CONCLUSIONS These data indicate that acute LC n-3 PUFA-rich meal consumption can improve postprandial arterial stiffness. This has important implications for the beneficial properties of LC n-3 PUFA and cardiovascular risk reduction.
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Affiliation(s)
- Mary F-F Chong
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, Department of Food and Nutritional Sciences, University of Reading, Reading, UK
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Roberts R, Bickerton AS, Fielding BA, Blaak EE, Wagenmakers AJ, Chong MFF, Gilbert M, Karpe F, Frayn KN. Reduced oxidation of dietary fat after a short term high-carbohydrate diet. Am J Clin Nutr 2008; 87:824-31. [PMID: 18400703 DOI: 10.1093/ajcn/87.4.824] [Citation(s) in RCA: 64] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Short-term high-carbohydrate (HC) diets induce metabolic alterations, including hypertriacylglycerolemia, in both the fasting and postprandial states. The underlying tissue-specific alterations in fatty acid metabolism are not well understood. OBJECTIVE We investigated alterations in exogenous and endogenous fatty acid metabolism by using stable isotope tracers to label meal triacylglycerol and plasma fatty acids. DESIGN Eight healthy subjects consumed isocaloric diets containing a high percentage of energy from carbohydrates or a higher percentage of energy from fat for 3 d in a randomized crossover dietary intervention study. A test meal containing [U-13C] palmitate was combined with intravenous infusion of [2H2] palmitate to label plasma fatty acids and VLDL triacylglycerol. Blood and breath samples were taken before the meal and for 6 h postprandially. Blood samples were drawn from the femoral artery and from veins draining subcutaneous adipose tissue and forearm muscle for monitoring of tissue-specific metabolic substrate partitioning. RESULTS Systemic triacylglycerol concentrations were increased in both fasting (P = 0.02) and postprandial (P = 0.02) periods, and a greater amount of infused labeled fatty acid appeared in VLDL triacylglycerol after the HC diet than after the higher-fat diet (P = 0.05). Significantly less 13CO2 was exhaled after the HC diet (P = 0.04) and significantly less production of 13CO2 was seen across forearm muscle (P = 0.04). Systemic 3-hydroxybutyrate was significantly lower, postprandially, after the HC diet (P = 0.02). CONCLUSION Metabolic alterations suggestive of repartitioning of fatty acids away from oxidation toward esterification in both liver and muscle occur in response to short-term adaptation to a HC diet.
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Affiliation(s)
- Rachel Roberts
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, United Kingdom
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Chong MFF, Hodson L, Bickerton AS, Roberts R, Neville M, Karpe F, Frayn KN, Fielding BA. Parallel activation of de novo lipogenesis and stearoyl-CoA desaturase activity after 3 d of high-carbohydrate feeding. Am J Clin Nutr 2008; 87:817-23. [PMID: 18400702 DOI: 10.1093/ajcn/87.4.817] [Citation(s) in RCA: 163] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND High-carbohydrate (HC) diets increase de novo lipogenesis (DNL), but effects on stearoyl-CoA desaturase (SCD) are not so well studied. OBJECTIVE The objective was to investigate DNL and SCD in liver and adipose tissue by using fatty acid ratios after short-term dietary intervention. DESIGN Eight subjects consumed isoenergetic 3-d HC (10% fat; 75% carbohydrates) or higher fat (HF; 40% fat; 45% carbohydrates) diets (sugar to starch ratio: 60:40 for both) in a crossover study. Blood was taken from an artery and a vein draining subcutaneous adipose tissue. DNL and SCD activity were investigated by using the ratios of 16:0 to 18:2n-6 and of 16:1n-7 to 16:0, respectively. A test meal, including [U-(13)C]palmitate was given to trace dietary fatty acid incorporation into VLDL-triacylglycerol (TG). The conversion of intravenously infused [(2)H(2)]palmitic acid to [(2)H(2)]palmitoleic acid in VLDL-TG was quantified as a specific marker of hepatic SCD activity. RESULTS The VLDL-TG 16:0/18:2n-6 ratio, which reflects hepatic DNL, was greater after the HC diet than after the HF diet (P = 0.02). With the HC diet, increased plasma TG concentrations correlated with 16:0/18:2n-6 ratios (r = 0.76, P = 0.028). Plasma VLDL-TG and adipose venous nonesterified fatty acid (NEFA) 16:1n-7/16:0 ratios were higher after the HC diet (fasting: P = 0.01 and P = 0.05, respectively; postprandial: P = 0.03 and P = 0.05, respectively). Changes in fasting VLDL-TG 16:0/18:2n-6 and 16:1n-7/16:0 ratios were associated (P = 0.06). The contribution of total fatty acids from splanchnic sources (including DNL) was higher after the HC diet (P = 0.02). Expression of lipogenic genes in subcutaneous adipose tissue was not significantly affected by diet. CONCLUSION Parallel activation of DNL and SCD was found after a short period of HC feeding.
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Affiliation(s)
- Mary F-F Chong
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, United Kingdom
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Abstract
BACKGROUND A high fructose intake can lead to postprandial hypertriacylglycerolemia. The underlying mechanism is unclear. OBJECTIVE The objective of the study was to investigate the mechanisms involved in fructose-induced hypertriacylglycerolemia and the contribution of de novo lipogenesis in an acute setting. DESIGN In a randomized, crossover study, 14 subjects were given a fructose or glucose test meal after an overnight fast. [(2)H2]Palmitate and [U(13)C]d-fructose or [U(13)C]d-glucose were added to trace the handling of dietary fats and the fate of dietary sugars in the body. Blood samples were taken before and after the meal. Respiratory exchange ratio was measured by using indirect calorimetry, and breath samples were collected. RESULTS Plasma triacylglycerol and VLDL-triacylglycerol concentrations were significantly higher (P = 0.001 for both), whereas the concentrations of insulin and [(2)H2]palmitate in nonesterified fatty acids were significantly lower after fructose than after glucose (P = 0.002 and 0.03, respectively). The respiratory exchange ratio was higher after fructose (P = 0.04); significantly (P = 0.003) more carbon from sugars was recovered in breath carbon dioxide over 6 h after fructose (30.5%) than after glucose (24.5%). At 240 min, newly synthesized fatty acids from fructose made up approximately 0.4% of circulating VLDL-triacylglycerol, whereas newly synthesized triacylglycerol-glycerol made up 38%. Newly synthesized fatty acids and triacylglycerol-glycerol from glucose contributed almost none of VLDL-triacylglycerol (P = 0.002 and 0.007 for glucose and fructose, respectively). CONCLUSIONS The lower insulin excursion after fructose may result in less activation of adipose tissue lipoprotein lipase, which led to impaired triacylglycerol clearance. The contribution of de novo lipogenesis to fructose-induced hypertriacylglycerolemia is small, but its effect on altering the partitioning of fatty acids toward esterification may be considerable.
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Affiliation(s)
- Mary F-F Chong
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, United Kingdom
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