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Padmapriya N, Fogel A, Tan SYX, Goh CMJL, Tan SL, Chia A, Chu AHY, Chong YS, Tan KH, Chan SY, Yap F, Godfrey KM, Lee YS, Eriksson JG, Tan CS, Bernard JY, Müller-Riemenschneider F. The cross-sectional and prospective associations of parental practices and environmental factors with 24-hour movement behaviours among school-aged Asian children. Int J Behav Nutr Phys Act 2024; 21:27. [PMID: 38438945 PMCID: PMC10913559 DOI: 10.1186/s12966-024-01574-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 02/12/2024] [Indexed: 03/06/2024] Open
Abstract
BACKGROUND Parental practices and neighbourhood environmental factors may influence children's movement behaviours. We aimed to investigate the cross-sectional and prospective associations of parental practices and neighbourhood environmental factors with accelerometer-measured 24-hour movement behaviours (24 h-MBs) among school-aged children in Singapore. METHODS The Growing Up in Singapore Towards healthy Outcomes (GUSTO) study collected information on dimensions of parental practices and neighbourhood environment at age 5.5 years. Confirmatory factor analyses were performed to generate latent variables and used to compute overall parental practices [involvement in PA + support for PA + control of screen viewing context] and environmental scores [facilities for active play + active mobility facilitators + barriers*-1]. Children wore an accelerometer on their non-dominant wrist for seven consecutive days at ages 5.5 and 8 years. The R-package GGIR 2.6 was used to derive moderate-to-vigorous-intensity physical activity (MVPA), light-intensity physical activity (LPA), inactivity, and total-sleep (napping+night sleep) minutes per day. Associations were determined using compositional data analysis with multivariate linear regression models, taking into account potential confounders. RESULTS Among 425 children (48% girls, 59% Chinese), higher parental involvement in PA, parental support for PA and overall parental practices were associated with 24 h-MBs at ages 5.5 and 8 years, specifically with greater time spent in MVPA and less time being inactive relative to the remaining movement behaviours. The corresponding mean changes in the overall 24 h-MB for increasing parental practices from lowest to highest scores (- 2 to + 2 z-scores) indicated potential increases of up to 15-minutes in MVPA, 20-minutes in LPA, 5-minutes in sleep duration, and a reduction of 40-minutes in inactivity at age 5.5 years. At age 8 years, this could translate to approximately 15-minutes more of MVPA, 20-minutes more of LPA, a 20-minute reduction in sleep duration, and a 20-minute reduction in inactivity. Parental control of screen viewing contexts and neighbourhood environmental factors were not associated with 24 h-MBs. CONCLUSIONS Parental practices but not environmental factors were associated with higher MVPA and lower inactivity among Singaporean children, even at a later age. Further research may provide insights that support development of targeted public health strategies to promote healthier movement behaviours among children. STUDY REGISTRATION This study was registered on 4th August 2010 and is available online at ClinicalTrials.gov: NCT01174875.
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Affiliation(s)
- Natarajan Padmapriya
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
| | - Anna Fogel
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Sarah Yi Xuan Tan
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | | | - Shuen Lin Tan
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Airu Chia
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Anne Hin Yee Chu
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Yap Seng Chong
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Kok Hian Tan
- KK Women's and Children's Hospital, Singapore, Singapore
- Duke-National University of Singapore, Singapore, Singapore
| | - Shiao-Yng Chan
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Fabian Yap
- KK Women's and Children's Hospital, Singapore, Singapore
- Duke-National University of Singapore, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Keith M Godfrey
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore, Singapore
| | - Johan G Eriksson
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of General Practice and Primary Health Care, University of Helsinki and Folkhälsan Research Center, Helsinki, Finland
| | - Chuen Seng Tan
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Jonathan Y Bernard
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, F-75004, France
| | - Falk Müller-Riemenschneider
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Digital Health Center, Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Berlin, Germany
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Tan SYX, Padmapriya N, Bernard JY, Toh JY, Wee HL, Tan KH, Yap FKP, Lee YS, Chong YS, Godfrey K, Eriksson JG, Shek LPC, Tan CS, Chong MFF, Müller-Riemenschneider F. Cross-sectional and prospective associations between children's 24-h time use and their health-related quality of life: a compositional isotemporal substitution approach. Lancet Reg Health West Pac 2023; 41:100918. [PMID: 37842643 PMCID: PMC10570705 DOI: 10.1016/j.lanwpc.2023.100918] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 08/26/2023] [Accepted: 09/12/2023] [Indexed: 10/17/2023]
Abstract
Background Promoting active, balanced lifestyles among children may be an important approach to optimising their health-related quality of life (HRQoL). However, the relationships between children's movement behaviours and HRQoL remain unclear. Methods We examined the associations between movement behaviours (sleep, inactivity, light and moderate-to-vigorous intensity physical activity) assessed using accelerometers at ages 8 and 10 years and self-reported HRQoL scores (overall, and physical and emotional well-being, self-esteem, relationship with family and friends, and school functioning domains) at age 10 years among 370 children in a local birth cohort using compositional isotemporal substitution techniques. Findings Cross-sectionally, light and moderate-to-vigorous intensity physical activities were associated with better self-esteem (β = 15.94 [2.71, 29.18]) and relationship with friends (β = 10.28 [3.81, 16.74]) scores respectively. Prospectively, inactivity was associated with lower overall HRQoL (β = -10.00 [-19.13, -0.87]), relationship with friends (β = -16.41 [-31.60, -1.23]) and school functioning (β = -15.30 [-29.16, -1.44]) scores, while sleep showed a positive trend with overall HRQoL (β = 10.76 [-1.09, 22.61]) and school functioning (β = 17.12 [-0.87, 35.10]) scores. Children's movement behaviours were not associated with their physical and emotional well-being, or relationship with family scores. The isotemporal substitution analyses suggest that increasing time spent in physical activity and/or sleep at the expense of inactivity may benefit children's HRQoL. Interpretation Our findings suggest that sleep and physical activity may be associated with better HRQoL, with the inverse for inactivity. However, the relationship between children's movement behaviours and HRQoL is complex and warrants further research. Funding Singapore National Research Foundation, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research.
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Affiliation(s)
- Sarah Yi Xuan Tan
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Natarajan Padmapriya
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Jonathan Y. Bernard
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore
- Université Paris Cité and Université Sorbonne Paris Nord, Centre for Research in Epidemiology and StatisticS (CRESS), Inserm, Inrae, F-75004, Paris, France
| | - Jia Ying Toh
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore
| | - Hwee-Lin Wee
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Department of Pharmacy, Faculty of Science, National University of Singapore, Singapore, Singapore
| | - Kok Hian Tan
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore, Singapore
- Duke-National University of Singapore Medical School, Singapore, Singapore
| | - Fabian Kok Peng Yap
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore, Singapore
- Duke-National University of Singapore Medical School, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore
- Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yap-Seng Chong
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore
| | - Keith Godfrey
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Johan Gunnar Eriksson
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore
- Department of General Practice and Primary Health Care, University of Helsinki and Folkhälsan Research Center, Helsinki, Finland
| | - Lynette Pei-Chi Shek
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore
- Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Chuen Seng Tan
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Mary Foong-Fong Chong
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore
| | - Falk Müller-Riemenschneider
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Digital Health Centre, Berlin Institute of Health, Charité – Universitätsmedizin Berlin, Berlin, Germany
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Chu AHY, Padmapriya N, Tan SL, Goh CMJL, Chong YS, Shek LP, Tan KH, Gluckman PD, Yap FKP, Lee YS, Loy SL, Chan JKY, Godfrey KM, Eriksson JG, Chan SY, Bernard JY, Müller-Riemenschneider F. Longitudinal Analysis of Patterns and Correlates of Physical Activity and Sedentary Behavior in Women From Preconception to Postpartum: The Singapore Preconception Study of Long-Term Maternal and Child Outcomes Cohort. J Phys Act Health 2023; 20:850-859. [PMID: 37146982 DOI: 10.1123/jpah.2022-0642] [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: 12/07/2022] [Revised: 02/24/2023] [Accepted: 03/20/2023] [Indexed: 05/07/2023]
Abstract
OBJECTIVE Longitudinal changes in physical activity (PA) and sedentary behavior patterns from preconception to postpartum are not fully characterized. We examined changes and baseline sociodemographic/clinical correlates of PA and sedentary behavior in women from preconception to postpartum. METHODS The Singapore Preconception Study of Long-Term Maternal and Child Outcomes cohort recruited 1032 women planning pregnancy. Participants completed questionnaires at preconception, 34 to 36 weeks gestation, and 12 months postpartum. Repeated-measures linear regression models were used to analyze changes in walking, moderate to vigorous PA (MVPA), screen time, and total sedentary time, and to identify sociodemographic/clinical correlates associated with these changes. RESULTS Of the 373 women who delivered singleton live births, 281 provided questionnaires for all time points. Walking time increased from preconception to late pregnancy but decreased postpartum (adjusted means [95% CI]: 454 [333-575], 542 [433-651], and 434 [320-547] min/wk, respectively). Vigorous-intensity PA and MVPA decreased from preconception to late pregnancy but increased postpartum (vigorous-intensity PA: 44 [11-76], 1 [-3-5], and 11 [4-19] min/wk, MVPA: 273 [174-372], 165 [95-234], and 226 [126-325] min/wk, respectively). Screen time and total sedentary time remained consistent from preconception to pregnancy but decreased postpartum (screen: 238 [199-277], 244 [211-277], and 162 [136-189] min/d, total: 552 [506-598], 555 [514-596], and 454 [410-498] min/d, respectively). Individual characteristics of ethnicity, body mass index, employment, parity, and self-rated general health significantly influenced women's activity patterns. CONCLUSION During late pregnancy, walking time increased, while MVPA declined significantly, and partially returned to preconception levels postpartum. Sedentary time remained stable during pregnancy but decreased postpartum. The identified set of sociodemographic/clinical correlates underscores need for targeted strategies.
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Affiliation(s)
- Anne H Y Chu
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore,Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore,Singapore
| | - Natarajan Padmapriya
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore,Singapore
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore,Singapore
| | - Shuen Lin Tan
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore,Singapore
| | - Claire Marie J L Goh
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore,Singapore
| | - Yap-Seng Chong
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore,Singapore
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore,Singapore
| | - Lynette P Shek
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore,Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore,Singapore
| | - Kok Hian Tan
- Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore,Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore,Singapore
- Liggins Institute, University of Auckland, Auckland,New Zealand
| | - Fabian K P Yap
- Duke-NUS Medical School, Singapore,Singapore
- Department of Pediatrics, KK Women's and Children's Hospital, Singapore,Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore,Singapore
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore,Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore,Singapore
| | - See Ling Loy
- Duke-NUS Medical School, Singapore,Singapore
- Department of Reproductive Medicine, KK Women's and Children's Hospital, Singapore,Singapore
| | - Jerry K Y Chan
- Duke-NUS Medical School, Singapore,Singapore
- Department of Reproductive Medicine, KK Women's and Children's Hospital, 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
| | - Johan G Eriksson
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore,Singapore
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore,Singapore
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki,Finland
- Folkhälsan Research Center, Helsinki,Finland
| | - Shiao-Yng Chan
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore,Singapore
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore,Singapore
| | - Jonathan Y Bernard
- Université Paris Cité, Inserm, INRAE, Centre for Research in Epidemiology and Statistics, Paris,France
| | - Falk Müller-Riemenschneider
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore,Singapore
- Berlin Institute of Health, Charite University Medical Centre, Berlin,Germany
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Tay Z, Chen B, Kui KY, Padmapriya N, Chong MFF, Müller AM, Lee EL, Troy E, Müller-Riemenschneider F. Results from the Singapore 2022 report card on physical activity for children and adolescents. J Exerc Sci Fit 2023; 21:20-25. [PMID: 36349304 PMCID: PMC9634474 DOI: 10.1016/j.jesf.2022.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Revised: 09/23/2022] [Accepted: 10/17/2022] [Indexed: 11/06/2022] Open
Abstract
Background While it has been established that physical activity (PA) is key to promote overall health and well-being, insufficient physical activity among children and adolescents is a global problem, including Singapore. It is important to understand the local PA landscape among children and adolescents to decrease surveillance gaps and identify areas for improvement in promoting PA. The present article provides an overview of the development of the 2022 Active Healthy Kids Singapore Report Card and the results, as well as underscore limitations and gaps in the available evidence related to PA among children and adolescents in Singapore. Methods Following the Global Matrix 4.0, the available data between July 2010 to July 2020 was synthesized for all 10 indicators by the work group and reviewed by a panel of experts. Data sources included published scientific articles, government and non-government reports, national surveys, and unpublished data from on-going research studies. Where possible, grades were informed by nationally representative surveys or large-scale longitudinal studies. Results The grades assigned were: Overall Physical Activity (C-), Organized Sport and Physical Activity (B-), Active Play (C-), Active Transportation (C), Sedentary Behaviours (C-), Physical Fitness (Incomplete), Family and Peers (C-), School (Incomplete), Community and Environment (A+), Government (B). Conclusion This is the first comprehensive evaluation of PA among children and adolescents in Singapore. It provides baseline grades valuable for future comparison. It also illustrates gaps in the existing evidence which can inform future surveillance, facilitate international comparisons and enable global efforts in promoting physical activity.
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Michael N, Sadananthan SA, Yuan WL, Ong YY, Loy SL, Huang JY, Tint MT, Padmapriya N, Choo J, Ling LH, Kramer MS, Godfrey KM, Gluckman PD, Tan KH, Eriksson JG, Chong YS, Lee YS, Karnani N, Yap F, Shek LPC, Fortier MV, Moritz KM, Chan SY, Velan SS, Wlodek ME. Associations of maternal and foetoplacental factors with prehypertension/hypertension in early childhood. J Hypertens 2022; 40:2171-2179. [PMID: 36205012 DOI: 10.1097/hjh.0000000000003241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
OBJECTIVE To evaluate whether characterization of maternal and foetoplacental factors beyond birthweight can enable early identification of children at risk of developing prehypertension/hypertension. METHODS We recruited 693 mother-offspring dyads from the GUSTO prospective mother-offspring cohort. Prehypertension/hypertension at age 6 years was identified using the simplified paediatric threshold of 110/70 mmHg. We evaluated the associations of pregnancy complications (gestational diabetes, excessive/inadequate gestational weight gain, hypertensive disorders of pregnancy), foetal growth deceleration (decline in foetal abdominal circumference at least 0.67 standard deviations between second and third trimesters), high foetoplacental vascular resistance (third trimester umbilical artery systolic-to-diastolic ratio ≥90th centile), preterm birth, small-for-gestational age and neonatal kidney volumes with risk of prehypertension/hypertension at age 6 years, after adjusting for sex, ethnicity, maternal education and prepregnancy BMI. RESULTS Pregnancy complications, small-for-gestational age, preterm birth, and low neonatal kidney volume were not associated with an increased risk of prehypertension/hypertension at age 6 years. In contrast, foetal growth deceleration was associated with a 72% higher risk [risk ratio (RR) = 1.72, 95% confidence interval (CI) 1.18-2.52]. High foetoplacental vascular resistance was associated with a 58% higher risk (RR = 1.58, 95% CI 0.96-2.62). Having both these characteristics, relative to having neither, was associated with over two-fold higher risk (RR = 2.55, 95% CI 1.26-5.16). Over 85% of the foetuses with either of these characteristics were born appropriate or large for gestational age. CONCLUSION Foetal growth deceleration and high foetoplacental vascular resistance may be helpful in prioritizing high-risk children for regular blood pressure monitoring and preventive interventions, across the birthweight spectrum.
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Affiliation(s)
- Navin Michael
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore
| | - Suresh Anand Sadananthan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore
| | - Wen Lun Yuan
- Université de Paris, CRESS, Inserm, INRAE, Paris, France
| | | | - See Ling Loy
- Department of Reproductive Medicine, KK Women's and Children's Hospital, Singapore
- Duke-National University of Singapore Medical School
| | - Jonathan Y Huang
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore
| | - Mya-Thway Tint
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore
| | - Natarajan Padmapriya
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine
- Saw Swee Hock School of Public Health
| | | | - Lieng Hsi Ling
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore
- Department of Cardiology, National University Heart Centre
| | - Michael S Kramer
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine
| | - Keith M Godfrey
- Medical Research Council Lifecourse Epidemiology Unit and National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital, Southampton National Health Service Foundation Trust, Southampton, United Kingdom
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Kok Hian Tan
- Department of Maternal Fetal Medicine
- Duke-National University of Singapore Medical School
| | - Johan G Eriksson
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine
- Department of General Practice and Primary Healthcare, University of Helsinki and Helsinki University Hospital
- Folkhälsan Research Center, Helsinki, Finland
| | - Yap-Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore
- Department of Paediatrics
- Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore
| | - Neerja Karnani
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore
| | - Fabian Yap
- Department of Pediatric Endocrinology
- Duke-National University of Singapore Medical School
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Lynette Pei-Chi Shek
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore
| | - Marielle V Fortier
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore
- Department of Diagnostic and Interventional Imaging
| | | | - Shiao-Yng Chan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine
| | - S Sendhil Velan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore
| | - Mary E Wlodek
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine
- University of Melbourne, Parkville, Australia
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Chen B, Kui KY, Padmapriya N, Müller AM, Müller-Riemenschneider F. Correlates of sedentary behavior in Asian preschool-aged children: A systematic review. Obes Rev 2022; 23:e13485. [PMID: 35698280 DOI: 10.1111/obr.13485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 05/11/2022] [Accepted: 05/31/2022] [Indexed: 11/30/2022]
Abstract
This systematic review aims to identify the multilevel correlates of sedentary behavior (SB) and its sub-domains among preschool-aged children aged 0-7 years in Asia. We systematically searched for studies published from 2000 onwards using terms related to SB correlates and Asia in six databases. Eligible studies were observational and used quantitative methods to examine correlates of total, and domain-specific SB (screen viewing [SV] and non-screen-based SB) in Asian children living in Asia. Two reviewers independently screened identified references. Following quality assessment of included studies, we performed narrative synthesis to summarize the evidence on the intrapersonal, interpersonal, environmental correlates of total and domain-specific SB (PROSPERO: CRD42018095268). Twenty-two studies from 4 regions and 12 countries/territories were included. Out of the 94 correlates explored, the following associations were consistent: older age, being a boy, non-Chinese ethnicity (Southeast Asia), younger maternal age, higher maternal and paternal television-viewing time with higher SV; higher SV at earlier age with higher SV and total SB; and presence of TV/computer in the bedroom with higher leisure-time SB. We encourage more studies from low- and middle-income Asian countries with an increased focus on different SB domains, further exploration of environmental correlates, and the use of objective measurements to capture SB.
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Affiliation(s)
- Bozhi Chen
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Kiran Yan Kui
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Natarajan Padmapriya
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.,Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Andre Matthias Müller
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.,Centre for Sport and Exercise Sciences, University of Malaya, Kuala Lumpur, Malaysia
| | - Falk Müller-Riemenschneider
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.,Institute for Social Medicine, Epidemiology and Health Economics, Charite University Medical Centre Berlin, Berlin, Germany
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Lee YQ, Colega M, Sugianto R, Lai JS, Godfrey KM, Tan KH, Shek LPC, Loy SL, Müller-Riemenschneider F, Padmapriya N, Chong YS, Eriksson JG, Chan JKY, Chan SY, Tai BC, Chong MFF. Tracking of dietary patterns between pregnancy and 6 years post-pregnancy in a multiethnic Asian cohort: the Growing Up in Singapore Towards healthy Outcomes (GUSTO) study. Eur J Nutr 2022; 61:985-1001. [PMID: 34686887 PMCID: PMC7612407 DOI: 10.1007/s00394-021-02703-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 10/06/2021] [Indexed: 10/20/2022]
Abstract
PURPOSE Few studies have described adherence to dietary patterns over time in women of childbearing age. This study aims to describe, examine the stability and changes in dietary patterns between pregnancy and 6 years post-pregnancy and the sociodemographic and lifestyle factors influencing the adherence over time. METHODS During pregnancy and at 6 years post-pregnancy, 24-h recalls and food frequency questionnaires were collected, respectively, from 709 women. Data on sociodemographic and lifestyle factors were collected via questionnaires. Dietary patterns were identified using principal component analysis and stability assessed using Pearson's correlation coefficients (r) and Cohen's weighted kappa (κ). Associations with sociodemographic characteristics were assessed by multiple logistic regression. RESULTS The 'Fruits, Vegetables and Legumes' (FVL) and 'Seafood, Noodle, Soup' (SNS) patterns were identified at both time points, with low correlation for the dietary pattern z scores (r 0.2 and 0.3, respectively) and modest agreement in tertile assignment, suggesting poor stability. An 'unhealthy' pattern was only observed at 6 years post-pregnancy. Women who showed increased adherence to FVL pattern had higher educational attainment and exhibited healthy lifestyle behaviours. Women who had gestational diabetes during pregnancy were less likely to decrease adherence to FVL pattern over time. Women who adhered more closely to the 'unhealthy' pattern at 6 years post-pregnancy tended to be younger, of Malay ethnicity, had lower socioeconomic status, were less physically active and had additional pregnancies. CONCLUSIONS Dietary habits of women became less healthy during the transition from pregnancy to 6 years post-pregnancy. However, results should be interpreted with caution due to the different dietary assessment tools used at the two time points.
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Affiliation(s)
- Yu Qi Lee
- Saw Swee Hock School of Public Health, National University of Singapore, Tahir Foundation Building, 12 Science Drive 2, #09-01Q, Singapore, 117549, Singapore.
| | - Marjorelee Colega
- Singapore Institute for Clinical Sciences (SICS), Brenner Centre for Molecular Medicine, Agency for Science, Technology, and Research (A*STAR), Singapore, 117609, Singapore
| | - Ray Sugianto
- Saw Swee Hock School of Public Health, National University of Singapore, Tahir Foundation Building, 12 Science Drive 2, #09-01Q, Singapore, 117549, Singapore
| | - Jun Shi Lai
- Singapore Institute for Clinical Sciences (SICS), Brenner Centre for Molecular Medicine, Agency for Science, Technology, and Research (A*STAR), Singapore, 117609, Singapore
| | - Keith M Godfrey
- Medical Research Council Lifecourse Epidemiology Unit and National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service Foundation Trust, Southampton, SO16 6YD, UK
| | - Kok Hian Tan
- Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore, 229899, Singapore
- Graduate Medical School, Duke-National University of Singapore, Singapore, 169857, Singapore
| | - Lynette Pei-Chi Shek
- Singapore Institute for Clinical Sciences (SICS), Brenner Centre for Molecular Medicine, Agency for Science, Technology, and Research (A*STAR), Singapore, 117609, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, 119228, Singapore
| | - See Ling Loy
- Graduate Medical School, Duke-National University of Singapore, Singapore, 169857, Singapore
- Department of Reproductive Medicine, KK Women's and Children's Hospital, Singapore, 229899, Singapore
| | - Falk Müller-Riemenschneider
- Saw Swee Hock School of Public Health, National University of Singapore, Tahir Foundation Building, 12 Science Drive 2, #09-01Q, Singapore, 117549, Singapore
- Digital Health Center, Berlin Institute of Health, Charite University Medical Centre, Berlin, Germany
| | - Natarajan Padmapriya
- Saw Swee Hock School of Public Health, National University of Singapore, Tahir Foundation Building, 12 Science Drive 2, #09-01Q, Singapore, 117549, Singapore
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, 117597, Singapore
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences (SICS), Brenner Centre for Molecular Medicine, Agency for Science, Technology, and Research (A*STAR), Singapore, 117609, Singapore
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, 117597, Singapore
| | - Johan Gunnar Eriksson
- Singapore Institute for Clinical Sciences (SICS), Brenner Centre for Molecular Medicine, Agency for Science, Technology, and Research (A*STAR), Singapore, 117609, Singapore
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, 117597, Singapore
- Folkhälsan Research Center, 00250, Helsinki, Finland
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, 00014, Helsinki, Finland
| | - Jerry Kok Yen Chan
- Graduate Medical School, Duke-National University of Singapore, Singapore, 169857, Singapore
- Department of Reproductive Medicine, KK Women's and Children's Hospital, Singapore, 229899, Singapore
| | - Shiao-Yng Chan
- Singapore Institute for Clinical Sciences (SICS), Brenner Centre for Molecular Medicine, Agency for Science, Technology, and Research (A*STAR), Singapore, 117609, Singapore
- Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, 117597, Singapore
| | - Bee Choo Tai
- Saw Swee Hock School of Public Health, National University of Singapore, Tahir Foundation Building, 12 Science Drive 2, #09-01Q, Singapore, 117549, Singapore
| | - Mary Foong-Fong Chong
- Saw Swee Hock School of Public Health, National University of Singapore, Tahir Foundation Building, 12 Science Drive 2, #09-01Q, Singapore, 117549, Singapore
- Singapore Institute for Clinical Sciences (SICS), Brenner Centre for Molecular Medicine, Agency for Science, Technology, and Research (A*STAR), Singapore, 117609, Singapore
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Padmapriya N, Chen B, Goh CMJL, Shek LPC, Chong YS, Tan KH, Chan SY, Yap F, Godfrey KM, Lee YS, Eriksson JG, Bernard JY, Müller-Riemenschneider F. 24-hour movement behaviour profiles and their transition in children aged 5.5 and 8 years - findings from a prospective cohort study. Int J Behav Nutr Phys Act 2021; 18:145. [PMID: 34742314 PMCID: PMC8572484 DOI: 10.1186/s12966-021-01210-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [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: 02/04/2021] [Accepted: 10/07/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Time spent in movement behaviours, including physical activity (PA), sedentary behaviour (SB) and sleep, across the 24-h day may have distinct health consequences. We aimed to describe 24-h movement behaviour (24 h-MB) profiles in children and how profile membership changed from age 5.5 to 8 years. METHODS Children in the Growing Up in Singapore Towards healthy Outcomes (GUSTO) cohort were asked to wear an accelerometer (ActiGraph-GT3X+) on their wrist for seven consecutive days at ages 5.5 and 8 years to measure 24 h-MB patterns. Time spent in night sleep, inactivity (proxy for SB), light PA, moderate PA (MPA), and vigorous PA (VPA) per day were calculated using the R-package GGIR 2.0. Using latent profile analyses (n = 442) we identified 24 h-MB profiles, which were given animal names to convey key characteristics. Latent transition analyses were used to describe the profile membership transition from ages 5.5 to 8 years. Associations with sex and ethnicity were examined. RESULTS We identified four profiles, "Rabbits" (very high-MPA/VPA, low-inactivity and average-night-sleep), "Chimpanzees" (high-MPA, low-inactivity and average-night-sleep), "Pandas" (low-PA, high-inactivity and high-night-sleep) and "Owls" (low-PA, high-inactivity and low-night-sleep), among children at both time points. At ages 5.5 and 8 years, the majority of children were classified into profiles of "Chimpanzees" (51 and 39%, respectively) and "Pandas" (24 and 37%). Half of the sample (49%), particularly "Rabbits", remained in the same profile at ages 5.5 and 8 years: among children who changed profile the predominant transitions occurred from "Chimpanzees" (27%) and "Owls" (56%) profiles to "Pandas". Sex, but not ethnicity, was associated with profile membership: compared to girls, boys were more likely to be in the "Rabbits" profile (adjusted OR [95% CI]: 3.6 [1.4, 9.7] and 4.5 [1.8, 10.9] at ages 5.5 and 8 years, respectively) and less likely to be in the "Pandas" profile (0.5 [0.3, 0.9] and 0.4 [0.2, 0.6]) at both ages. CONCLUSIONS With increasing age about half the children stayed in the same of four 24 h-MB profiles, while the predominant transition for the remaining children was towards lower PA, higher inactivity and longer sleep duration. These findings can aid development and implementation of public health strategies to promote better health. STUDY REGISTRATION This study was registered on 4th August 2010 and is available online at ClinicalTrials.gov: NCT01174875 .
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Affiliation(s)
- Natarajan Padmapriya
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, 12 Science Drive 2, MD1 Tahir Foundation Building, Level 12, Singapore, 117549, Singapore.
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
| | - Bozhi Chen
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | | | - Lynette Pei Chi Shek
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore, Singapore, Singapore
| | - Yap Seng Chong
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, 12 Science Drive 2, MD1 Tahir Foundation Building, Level 12, Singapore, 117549, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Kok Hian Tan
- KK Women's and Children's Hospital, Singapore, Singapore
- Duke-National University of Singapore, Singapore, Singapore
| | - Shiao-Yng Chan
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, 12 Science Drive 2, MD1 Tahir Foundation Building, Level 12, Singapore, 117549, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Fabian Yap
- KK Women's and Children's Hospital, Singapore, Singapore
- Duke-National University of Singapore, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Keith M Godfrey
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore, Singapore, Singapore
| | - Johan G Eriksson
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, 12 Science Drive 2, MD1 Tahir Foundation Building, Level 12, Singapore, 117549, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of General Practice and Primary Health Care, University of Helsinki and Folkhälsan Research Center, Helsinki, Finland
| | - Jonathan Y Bernard
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Université de Paris, Centre for Research in Epidemiology and StatisticS (CRESS), Inserm, Inrae, F-75004, Paris, France
| | - Falk Müller-Riemenschneider
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Berlin Institute of Health, Charite University Medical Centre, Berlin, Germany
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Padmapriya N, Tint MT, Sadananthan SA, Michael N, Chen B, Cai S, Toh JY, Lanca C, Tan KH, Saw SM, Shek LPC, Chong YS, Gluckman PD, Lee YS, Yap F, Fortier MV, Chong MFF, Godfrey KM, Eriksson JG, Velan SS, Kramer MS, Bernard JY, Müller-Riemenschneider F. The longitudinal association between early-life screen viewing and abdominal adiposity-findings from a multiethnic birth cohort study. Int J Obes (Lond) 2021; 45:1995-2005. [PMID: 34108642 PMCID: PMC7611569 DOI: 10.1038/s41366-021-00864-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 05/02/2021] [Accepted: 05/18/2021] [Indexed: 02/05/2023]
Abstract
IMPORTANCE Screen viewing in adults has been associated with greater abdominal adiposity, with the magnitude of associations varying by sex and ethnicity, but the evidence is lacking at younger ages. We aimed to investigate sex- and ethnic-specific associations of screen-viewing time at ages 2 and 3 years with abdominal adiposity measured by magnetic resonance imaging at age 4.5 years. METHODS The Growing Up in Singapore Towards healthy Outcomes is an ongoing prospective mother-offspring cohort study. Parents/caregivers reported the time their child spent viewing television, handheld devices, and computer screens at ages 2 and 3 years. Superficial and deep subcutaneous and visceral abdominal adipose tissue volumes were quantified from magnetic resonance images acquired at age 4.5 years. Associations between screen-viewing time and abdominal adipose tissue volumes were examined by multivariable linear regression adjusting for confounding factors. RESULTS In the overall sample (n = 307), greater total screen-viewing time and handheld device times were associated with higher superficial and deep subcutaneous adipose tissue volumes, but not with visceral adipose tissue volumes. Interactions with child sex were found, with significant associations with superficial and deep subcutaneous and visceral adipose tissue volumes in boys, but not in girls. Among boys, the increases in mean (95% CI) superficial and deep subcutaneous and visceral adipose tissue volumes were 24.3 (9.9, 38.7), 17.6 (7.4, 27.8), and 7.8 (2.1, 13.6) mL per hour increase in daily total screen-viewing time, respectively. Ethnicity-specific analyses showed associations of total screen-viewing time with abdominal adiposity only in Malay children. Television viewing time was not associated with abdominal adiposity. CONCLUSION Greater total screen-viewing time (and in particular, handheld device viewing time) was associated with higher abdominal adiposity in boys and Malay children. Additional studies are necessary to confirm these associations and to examine screen-viewing interventions for preventing excessive abdominal adiposity and its adverse cardiometabolic consequences.
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Affiliation(s)
- Natarajan Padmapriya
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
| | - Mya-Thway Tint
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Suresh Anand Sadananthan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Navin Michael
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Bozhi Chen
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Shirong Cai
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Jia Ying Toh
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Carla Lanca
- Singapore Eye Research Institute, Singapore, Singapore
| | - Kok Hian Tan
- KK Women's and Children's Hospital, Singapore, Singapore
- Duke-National University of Singapore, Singapore, Singapore
| | - Seang Mei Saw
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Singapore Eye Research Institute, Singapore, Singapore
- Duke-National University of Singapore, Singapore, Singapore
| | - Lynette Pei-Chi Shek
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore, Singapore
| | - Yap Seng Chong
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore, Singapore
| | - Fabian Yap
- KK Women's and Children's Hospital, Singapore, Singapore
- Duke-National University of Singapore, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | | | - Mary Foong-Fong Chong
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Keith M Godfrey
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Johan G Eriksson
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - S Sendhil Velan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Institute for Bioengineering and Bioimaging, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Michael S Kramer
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Pediatrics, McGill University Faculty of Medicine, Montreal, QC, Canada
- Department of Epidemiology and Biostatistics, McGill University Faculty of Medicine, Montreal, QC, Canada
| | - Jonathan Y Bernard
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Centre for Research in Epidemiology and Statistics (CRESS), Université de Paris, Inserm, INRAE, Paris, France
| | - Falk Müller-Riemenschneider
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Berlin Institute of Health, Charite University Medical Centre, Berlin, Germany
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10
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Lee YQ, Colega M, Sugianto R, Lai JS, Godfrey KM, Tan KH, Shek LPC, Loy SL, Chan JKY, Müller-Riemenschneider F, Padmapriya N, Chan SY, Chong YS, Eriksson JG, Tai BC, Chong MFF. Tracking of Dietary Patterns From Pregnancy to 6 Years Post-pregnancy in a Multiethnic Asian Cohort: The Growing Up in Singapore Towards Healthy Outcomes (GUSTO) Study. Curr Dev Nutr 2021. [DOI: 10.1093/cdn/nzab038_035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Objectives
We assessed the stability of maternal dietary patterns from pregnancy to 6 years post-pregnancy and their associated-sociodemographic and lifestyle factors.
Methods
At 26–28 weeks’ gestation and 6 years post-pregnancy, 24-hour recalls and food frequency questionnaires were collected, respectively, from women in the GUSTO mother-offspring cohort (n = 709). Data on maternal sociodemographic and lifestyle factors were collected at recruitment and again during the 4 to 6-year follow-up visits. Dietary patterns were identified using principal component analysis and stability assessed using Pearson's correlation coefficients and Cohen's weighted kappa. Associations were assessed by multivariable logistic regression, with adjustment for covariates.
Results
The ‘Fruits, Vegetables and Legumes’ (FVL) and ‘Seafood, Noodle, Soup’ (SNS) patterns were identified at both time points, with poor correlation for the dietary pattern z-scores (correlation coefficients: 0.2 and 0.3, respectively) and modest agreement in tertile assignment (weighted κ: 0.11 and 0.15, respectively), suggesting poor stability. An ‘unhealthy’ pattern was only observed at 6 years post-pregnancy. Women with only primary/secondary level education tended to decrease adherence to FVL pattern over time. Women who had gestational diabetes during pregnancy tended to maintain high adherence to FVL pattern over time. Other health conditions such as hypertension during pregnancy and post-delivery development of type 2 diabetes and hypertension did not appear to influence change in women's diet. Women who showed increased adherence to FVL pattern also exhibited healthy lifestyle behaviours, such as being more physically active, post-pregnancy. Women who adhered more closely to the ‘unhealthy’ pattern at 6 years post-pregnancy tended to be younger, of Malay ethnicity, had lower education, had lower household income at 5 years post-pregnancy, were less physically active and had additional pregnancies.
Conclusions
Study findings may be used to inform the design of public health interventions for certain subgroups of women during pregnancy and at post-pregnancy that target key dietary and lifestyle risk behaviours.
Funding Sources
Singapore Ministry of Health's NMRC, Singapore—NMRC/TCR/004-NUS/2008; NMRC/TCR/012-NUHS/2014, SICS, A*STAR, and MOE Academic Research Fund.
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Affiliation(s)
- Yu Qi Lee
- The National University of Singapore
| | | | | | - Jun Shi Lai
- Singapore Institute for Clinical Sciences (SICS)
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11
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van Lee L, Chia A, Phua D, Colega M, Padmapriya N, Bernard JY, Cai S, Tham EKH, Teoh OH, Goh D, Gooley JJ, Gluckman PD, Yap F, Shek LPC, Godfrey KM, Tan KH, Chong YS, Müller-Riemenschneider F, Broekman B, Meaney M, Chen H, Chong MFF. Multiple modifiable lifestyle factors and the risk of perinatal depression during pregnancy: Findings from the GUSTO cohort. Compr Psychiatry 2020; 103:152210. [PMID: 33045668 DOI: 10.1016/j.comppsych.2020.152210] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [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: 03/10/2020] [Revised: 09/24/2020] [Accepted: 09/24/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Studies have identified lifestyle risk factors for perinatal depression, but none have examined the cumulative effect of these risk factors in pregnant women. METHODS We considered the following six factors during pregnancy: poor diet quality (Healthy eating index for Singapore pregnant women<median), poor sleep quality (global Pittsburgh sleep quality index score > 5), physical inactivity (<600 MET-minutes/week), vitamin D insufficiency (<50 nmol/l), smoking before or during pregnancy, and the perceived need for social support. Probable depression was assessed using the Edinburgh postnatal depression scale during pregnancy (>15) and at three months postpartum (≥13). Prevalence risk ratios were calculated with Poisson regressions while adjusting for potential confounders. RESULTS Of 535 pregnant women, 207 (39%) had zero or one risk factor, 146 (27%) had two, 119 (22%) had three, 48 (9%) had four, and 15 (3%) had ≥5 risk factors at 26-28 weeks' gestation. These six lifestyle habits contributed to 32% of the variance in depressive symptoms during pregnancy. The prevalence of being probably depressed was 6.4 (95% CI 2.1, 19.8; ptrend < 0.001) for expecting women who had ≥4 risk factors compared to women who had ≤1 risk factor. No association was observed between the number of risk factors and depressive symptoms at 3 months postpartum (ptrend = 0.746). CONCLUSION Pregnant women with ≥4 lifestyle risk factors showed a higher prevalence of depression during pregnancy, while no associations were observed for postpartum depression. CLINICAL TRIAL REGISTRATION This cohort is registered under the Clinical Trials identifier NCT01174875; http://www.clinicaltrials.gov/ct2/show/NCT01174875?term=GUSTO&rank=2.
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Affiliation(s)
- Linde van Lee
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
| | - Airu Chia
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Saw Swee Hock School of Public Health, National University of Singapore, Singapore; Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
| | - Desiree Phua
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
| | - Marjorelee Colega
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
| | - Natarajan Padmapriya
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jonathan Y Bernard
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore; Early Life Research On Later Health Unit, Centre for Research in Epidemiology and Statistics Sorbonne Paris Cité (CRESS), National Institute of Health and Medical Research (Inserm), Villejuif, France
| | - Shirong Cai
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore; Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Elaine K H Tham
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
| | - Oon Hoe Teoh
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore
| | - Daniel Goh
- Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Joshua J Gooley
- Center for Cognitive Neuroscience, Program in Neuroscience and behavioural disorders, Duke-NUS Medical School, Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore; Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Fabian Yap
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore; Duke-NUS Medical School, Singapore, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Lynette P C Shek
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore; Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - 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
| | - Kok Hian Tan
- Duke-NUS Medical School, Singapore, Singapore; Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore
| | - Yap-Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore; Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Falk Müller-Riemenschneider
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore; Institute for Social Medicine, Epidemiology and Health Economics, Charite University Medical Centre, Berlin, Germany
| | - Birit Broekman
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore; Department of Psychiatry, Amsterdam UMC, location VUmc, VU University, Amsterdam, the Netherlands; Department of Psychiatry, Onze Lieve Vrouwe Gasthuis, Amsterdam, the Netherlands
| | - Michael Meaney
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore; Departments of Psychiatry and Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Helen Chen
- Department of Psychological Medicine, KK Women's and Children's hospital, Singapore
| | - Mary F F Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore; Saw Swee Hock School of Public Health, National University of Singapore, Singapore; Clinical Nutrition Research Centre, Agency for Science, Technology and Research, Singapore.
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Madura Meenakshi R, Padmapriya N, Venkateswaran N. Fuzzy SVM based pre-processing technique for infrared (IR) thermal images. IFS 2020. [DOI: 10.3233/jifs-190860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
| | - N. Padmapriya
- SSN College of Engineering, Chennai, Tamil Nadu, India
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13
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Chen B, Bernard JY, Padmapriya N, Yao J, Goh C, Tan KH, Yap F, Chong YS, Shek L, Godfrey KM, Chan SY, Eriksson JG, Müller-Riemenschneider F. Socio-demographic and maternal predictors of adherence to 24-hour movement guidelines in Singaporean children. Int J Behav Nutr Phys Act 2019; 16:70. [PMID: 31438965 PMCID: PMC6704617 DOI: 10.1186/s12966-019-0834-1] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Accepted: 08/13/2019] [Indexed: 03/09/2023] Open
Abstract
PURPOSE Integrated 24-Hour Movement Guidelines provide specific recommendations on screen viewing (SV), moderate-to-vigorous physical activity (MVPA) and sleep to improve health of children and youth. However, few studies have examined whether these guidelines are met in young children, particularly in Asia. We evaluated adherence to integrated and individual guidelines and its predictors in 5.5-year-old Singaporean children. METHODS Growing Up in Singapore towards Healthy Outcomes (GUSTO) is a mother-offspring birth cohort study. At age 5.5 years, child SV was reported by parents. Movement behaviours (MBs) were measured continuously using wrist-worn accelerometers over 7 consecutive days and nights. For accelerometer data including ≥3 days with ≥16 h/day we estimated mean (±SD) daily MVPA, SV and nighttime sleep duration across the week. Adherence to integrated (Canadian/Australian) guidelines was defined as meeting all individual guidelines: ≥60 min of MVPA/day, ≤2 h of screen time/day, and 9-11 h of sleep/night. Socio-demographic and maternal predictors collected at pregnancy enrolment and at 26-28 weeks' gestation were examined by multivariable logistic regression. RESULTS Of 864 children followed up age 5.5 years, 547 (63.3%) had both valid ActiGraph and questionnaire data (51.7% boys and 58.3% Chinese ethnicity). Children averaged 101.9 (± 88.7) min/day SV, 67.3 (± 23.7) min/day MVPA and 480.6 (± 57.2) min/night sleep. Few children met integrated guidelines. Specifically, the proportions of children who met none, SV, MVPA, sleep and integrated guidelines were 11.2, 70.2, 59.6, 13.7 and 5.5%, respectively. Multivariable analysis showed that maternal activity and television (TV) viewing were associated with meeting integrated guidelines (insufficiently vs. highly active (OR [95% CI]): 0.11 [0.01, 0.95]; 2-3 vs. ≥ 3 h TV: 3.52 [1.02, 12.22]). Examining higher adherence to individual guidelines, Chinese ethnicity, younger maternal age and lower maternal TV and sleep time were associated with greater SV; male sex, Malay ethnicity, higher birth order and higher maternal activity level were associated with greater MVPA; and older maternal age was associated with adherence to sleep guideline. CONCLUSIONS Beyond individual behaviours, consideration of the full spectrum of MBs may be important to improve children's health. However, few Singaporean children adhere to integrated 24-h movement guidelines. Maternal behaviours as early as during pregnancy could be important targets for future interventions aiming to promote these MBs in children.
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Affiliation(s)
- Bozhi Chen
- Saw Swee Hock School of Public Health, National University of Singapore, Tahir Foundation Building (Block MD1), 12 Science Drive 2, #09-01v, Singapore, 117549 Singapore
| | - Jonathan Y. Bernard
- Inserm, Centre for Research in Epidemiology and StatisticS (CRESS), Research team on Early life Origins of Health (EAROH), Villejuif, France
- Agency for Science Technology and Research (A*STAR), Singapore Institute for Clinical Sciences (SICS), Singapore, Singapore
| | - Natarajan Padmapriya
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, Singapore
| | - Jiali Yao
- Saw Swee Hock School of Public Health, National University of Singapore, Tahir Foundation Building (Block MD1), 12 Science Drive 2, #09-01v, Singapore, 117549 Singapore
| | - Claire Goh
- Agency for Science Technology and Research (A*STAR), Singapore Institute for Clinical Sciences (SICS), Singapore, Singapore
| | - Kok Hian Tan
- Department of Maternal Fetal Medicine, KK Women’s and Children’s Hospital, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Fabian Yap
- Duke-NUS Medical School, Singapore, Singapore
- Department of Paediatrics, KK Women’s and Children’s Hospital, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Yap-Seng Chong
- Agency for Science Technology and Research (A*STAR), Singapore Institute for Clinical Sciences (SICS), Singapore, Singapore
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, Singapore
| | - Lynette Shek
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Division of Paediatric Allergy, Immunology & Rheumatology, Khoo Teck Puat - National University Children’s Medical Institute, National University Health System, Singapore, Singapore
| | - Keith M. Godfrey
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Shiao-Yng Chan
- Agency for Science Technology and Research (A*STAR), Singapore Institute for Clinical Sciences (SICS), Singapore, Singapore
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, Singapore
| | - Johan G. Eriksson
- Agency for Science Technology and Research (A*STAR), Singapore Institute for Clinical Sciences (SICS), Singapore, Singapore
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, Singapore
| | - Falk Müller-Riemenschneider
- Saw Swee Hock School of Public Health, National University of Singapore, Tahir Foundation Building (Block MD1), 12 Science Drive 2, #09-01v, Singapore, 117549 Singapore
- Institute for Social Medicine, Epidemiology and Health Economics, Charite University Medical Centre, Berlin, Germany
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Padmapriya N, Bernard JY, Liang S, Loy SL, Cai S, Zhe IS, Kwek K, Godfrey KM, Gluckman PD, Saw SM, Chong YS, Chan JKY, Müller-Riemenschneider F. Associations of physical activity and sedentary behavior during pregnancy with gestational diabetes mellitus among Asian women in Singapore. BMC Pregnancy Childbirth 2017; 17:364. [PMID: 29047402 PMCID: PMC5648496 DOI: 10.1186/s12884-017-1537-8] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [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: 08/14/2016] [Accepted: 10/03/2017] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Few studies have investigated physical activity (PA) and sedentary behavior (SB) in relation to fasting (FG) and 2-h postprandial plasma glucose (2hPG) levels and gestational diabetes mellitus (GDM); we investigated these associations among Asian pregnant women. METHODS As part of the Growing Up in Singapore Towards healthy Outcomes cohort study, PA and SB (sitting and television times) were assessed by interviewer-administered questionnaire. During 75 g oral glucose tolerance tests at 26-28 weeks' gestation we measured FG, 2hPG levels and GDM (FG ≥ 7.0 mmol/L and/or 2hPG ≥ 7.8 mmol/L). Associations were analysed by multiple linear and logistic regression. RESULTS Among the 1083 women studied, 18.6% had GDM. SB was not associated with FG, 2hPG and GDM. Higher categories of PA were associated with lower 2hPG and a lower likelihood of GDM (p-trend < 0.05), but not with FG levels. Compared to insufficiently active women, highly active women had lower 2hPG levels [β (95% CI): -0.32 (-0.59, -0.05), p = 0.020) and were less likely to have GDM [OR: 0.56 (0.32-0.98), p = 0.040]. Stratified analysis revealed no associations among under/normal-weight women, but significant associations among overweight/obese women; in those with BMI ≥23 kg/m2, sufficiently active and highly active women were less likely to have GDM [OR: 0.52, (0.29-0.93), p = 0.028, and OR: 0.34, (0.15-0.77), p = 0.010, respectively]. CONCLUSION Higher PA was associated with lower 2hPG levels and a lower prevalence of GDM, particularly in overweight/obese women. Further studies are warranted to confirm these findings, and to examine the effectiveness of PA promotion strategies for the prevention of gestational hyperglycemia.
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Affiliation(s)
- Natarajan Padmapriya
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Jonathan Y. Bernard
- Singapore Institute for Clinical Sciences, Agency for Science and Technology Research (A*STAR), Singapore, Singapore
| | - Shen Liang
- Biostatistics Unit, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - See Ling Loy
- KK Women’s and Children’s Hospital, Singapore, Singapore
| | - Shirong Cai
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Iris Shen Zhe
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Kenneth Kwek
- KK Women’s and Children’s Hospital, Singapore, Singapore
- Duke-National University of Singapore, Singapore, Singapore
| | - Keith M. Godfrey
- Medical Research Council Lifecourse Epidemiology Unit, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton, Southampton, UK
| | - Peter D. Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science and Technology Research (A*STAR), Singapore, Singapore
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Seang Mei Saw
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Yap-Seng Chong
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science and Technology Research (A*STAR), Singapore, Singapore
| | - Jerry Kok Yen Chan
- KK Women’s and Children’s Hospital, Singapore, Singapore
- Duke-National University of Singapore, Singapore, Singapore
| | - Falk Müller-Riemenschneider
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Institute for Social Medicine, Epidemiology and Health Economics, Charite University Medical Centre, Berlin, Germany
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15
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Bernard JY, Padmapriya N, Chen B, Cai S, Tan KH, Yap F, Shek L, Chong YS, Gluckman PD, Godfrey KM, Kramer MS, Saw SM, Müller-Riemenschneider F. Predictors of screen viewing time in young Singaporean children: the GUSTO cohort. Int J Behav Nutr Phys Act 2017; 14:112. [PMID: 28870219 PMCID: PMC5584344 DOI: 10.1186/s12966-017-0562-3] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2017] [Accepted: 08/04/2017] [Indexed: 12/20/2022] Open
Abstract
Background Higher screen viewing time (SVT) in childhood has been associated with adverse health outcomes, but the predictors of SVT in early childhood are poorly understood. We examined the sociodemographic and behavioral predictors of total and device-specific SVT in a Singaporean cohort. Methods At ages 2 and 3 years, SVT of 910 children was reported by their parents. Interviewer-administered questionnaires assessed SVT on weekdays and weekends for television, computer, and hand-held devices. Multivariable linear mixed-effect models were used to examine the associations of total and device-specific SVT at ages 2 and 3 with predictors, including children’s sex, ethnicity, birth order, family income, and parental age, education, BMI, and television viewing time. Results At age 2, children’s total SVT averaged 2.4 ± 2.2 (mean ± SD) hours/day, including 1.6 ± 1.6 and 0.7 ± 1.0 h/day for television and hand-held devices, respectively. At age 3, hand-held device SVT was 0.3 (95% CI: 0.2, 0.4) hours/day higher, while no increases were observed for other devices. SVT tracked moderately from 2 to 3 years (r = 0.49, p < 0.0001). Compared to Chinese children, Malay and Indian children spent 1.04 (0.66, 1.41) and 0.54 (0.15, 0.94) more hours/day watching screens, respectively. Other predictors of longer SVT were younger maternal age, lower maternal education, and longer parental television time. Conclusions In our cohort, the main predictors of longer children’s SVT were Malay and Indian ethnicity, younger maternal age, lower education and longer parental television viewing time. Our study may help target populations for future interventions in Asia, but also in other technology-centered societies. Trial registration This ongoing study was first registered on July 1, 2010 on NCT01174875 as. Retrospectively registered. Electronic supplementary material The online version of this article (doi:10.1186/s12966-017-0562-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jonathan Y Bernard
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore. .,Singapore Institute for Clinical Sciences (SICS), Agency for Sciences, Technology and Research (A*STAR). MD1 Tahir Foundation Building, #12-02/03, 21 Lower Kent Ridge Rd, Singapore, 119077, Singapore.
| | - Natarajan Padmapriya
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Bozhi Chen
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Shirong Cai
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Kok Hian Tan
- Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore, Singapore.,Duke-NUS Medical School, Singapore, Singapore
| | - Fabian Yap
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore, Singapore
| | - Lynette Shek
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.,Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Division of Paediatric Allergy, Immunology and Rheumatology, Khoo Teck Puat - National University Children's Medical Institute, National University Health System, Singapore, Singapore
| | - Yap-Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.,Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.,Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Keith M Godfrey
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Michael S Kramer
- Departments of Pediatrics and of Epidemiology and Biostatistics, McGill University Faculty of Medicine, Montreal, Quebec, Canada
| | - Seang Mei Saw
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.,Duke-NUS Medical School, Singapore, Singapore.,Singapore Eye Research Institute, Singapore, Singapore
| | - Falk Müller-Riemenschneider
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.,Institute for Social Medicine, Epidemiology and Health Economics, Charite University Medical Centre, Berlin, Germany
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16
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Pang WW, Colega M, Cai S, Chan YH, Padmapriya N, Chen LW, Soh SE, Han WM, Tan KH, Lee YS, Saw SM, Gluckman PD, Godfrey KM, Chong YS, van Dam RM, Chong MF. Higher Maternal Dietary Protein Intake Is Associated with a Higher Risk of Gestational Diabetes Mellitus in a Multiethnic Asian Cohort. J Nutr 2017; 147:653-660. [PMID: 28275101 PMCID: PMC5382972 DOI: 10.3945/jn.116.243881] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Revised: 12/01/2016] [Accepted: 02/06/2017] [Indexed: 12/28/2022] Open
Abstract
Background: Dietary protein may affect glucose metabolism through several mechanisms, but results from studies on dietary protein intake and risk of gestational diabetes mellitus (GDM) have been inconsistent.Objective: We examined the cross-sectional associations of dietary protein intake from different food sources during pregnancy with the risk of GDM in a multiethnic Asian population.Methods: We included 980 participants with singleton pregnancies from the Growing Up in Singapore Toward healthy Outcomes (GUSTO) cohort. Protein intake was ascertained from 24-h dietary recall and 3-d food diaries at 26-28 wk gestation. GDM was defined as fasting glucose ≥7.0 mmol/L and/or 2-h postload glucose ≥7.8 mmol/L at 26-28 wk gestation. We evaluated the association of dietary protein intake with GDM risk by substituting carbohydrate with protein in an isocaloric model with the use of multivariable logistic regression analysis.Results: The prevalence of GDM was 17.9% among our participants. After adjustment for potential confounders, a higher total dietary protein intake was associated with a higher risk of GDM; the OR comparing the highest with the lowest quartile of intake was 2.15 (95% CI: 1.27, 3.62; P-trend = 0.016). Higher intake levels of both animal protein (OR: 2.87; 95% CI: 1.58, 5.20; P-trend = 0.001) and vegetable protein (OR: 1.78; 95% CI: 0.99, 3.20; P-trend = 0.009) were associated with a higher risk of GDM. Among the animal protein sources, higher intake levels of seafood protein (OR: 2.17; 95% CI: 1.26, 3.72; P-trend = 0.023) and dairy protein (OR: 1.87; 95% CI: 1.11, 3.15; P-trend = 0.017) were significantly associated with a higher GDM risk.Conclusion: Higher intake levels of both animal and vegetable protein were associated with a higher risk of GDM in Asian women. This trial was registered at clinicaltrials.gov as NCT01174875.
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Affiliation(s)
| | - Marjorelee Colega
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
| | | | | | | | | | - Shu-E Soh
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
| | | | - Kok Hian Tan
- Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore, Singapore
| | - Yung Seng Lee
- Paediatrics, and.,Khoo Teck Puat-National University Children's Medical Institute.,Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
| | - Seang-Mei Saw
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore.,Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Keith M Godfrey
- Medical Research Council Lifecourse Epidemiology Unit, Southampton, United Kingdom; and.,National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service Foundation Trust, Southampton, United Kingdom
| | - Yap-Seng Chong
- Departments of Obstetrics and Gynaecology.,Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
| | - Rob M van Dam
- Medicine, Yong Loo Lin School of Medicine, .,Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Mary Ff Chong
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore; .,Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
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17
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Loy SL, Lek N, Yap F, Soh SE, Padmapriya N, Tan KH, Biswas A, Yeo GSH, Kwek K, Gluckman PD, Godfrey KM, Saw SM, Müller-Riemenschneider F, Chong YS, Chong MFF, Chan JKY. Association of Maternal Vitamin D Status with Glucose Tolerance and Caesarean Section in a Multi-Ethnic Asian Cohort: The Growing Up in Singapore Towards Healthy Outcomes Study. PLoS One 2015; 10:e0142239. [PMID: 26571128 PMCID: PMC4646602 DOI: 10.1371/journal.pone.0142239] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2015] [Accepted: 10/18/2015] [Indexed: 01/03/2023] Open
Abstract
OBJECTIVE Epidemiological studies relating maternal 25-hydroxyvitamin D (25OHD) with gestational diabetes mellitus (GDM) and mode of delivery have shown controversial results. We examined if maternal 25OHD status was associated with plasma glucose concentrations, risks of GDM and caesarean section in the Growing Up in Singapore Towards healthy Outcomes (GUSTO) study. METHODS Plasma 25OHD concentrations, fasting glucose (FG) and 2-hour postprandial glucose (2HPPG) concentrations were measured in 940 women from a Singapore mother-offspring cohort study at 26-28 weeks' gestation. 25OHD inadequacy and adequacy were defined based on concentrations of 25OHD ≤75nmol/l and >75nmol/l respectively. Mode of delivery was obtained from hospital records. Multiple linear regression was performed to examine the association between 25OHD status and glucose concentrations, while multiple logistic regression was performed to examine the association of 25OHD status with risks of GDM and caesarean section. RESULTS In total, 388 (41.3%) women had 25OHD inadequacy. Of these, 131 (33.8%), 155 (39.9%) and 102 (26.3%) were Chinese, Malay and Indian respectively. After adjustment for confounders, maternal 25OHD inadequacy was associated with higher FG concentrations (β = 0.08mmol/l, 95% Confidence Interval (CI) = 0.01, 0.14), but not 2HPPG concentrations and risk of GDM. A trend between 25OHD inadequacy and higher likelihood of emergency caesarean section (Odds Ratio (OR) = 1.39, 95% CI = 0.95, 2.05) was observed. On stratification by ethnicity, the association with higher FG concentrations was significant in Malay women (β = 0.19mmol/l, 95% CI = 0.04, 0.33), while risk of emergency caesarean section was greater in Chinese (OR = 1.90, 95% CI = 1.06, 3.43) and Indian women (OR = 2.41, 95% CI = 1.01, 5.73). CONCLUSIONS 25OHD inadequacy is prevalent in pregnant Singaporean women, particularly among the Malay and Indian women. This is associated with higher FG concentrations in Malay women, and increased risk of emergency caesarean section in Chinese and Indian women.
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Affiliation(s)
- See Ling Loy
- KK Research Centre, KK Women’s and Children’s Hospital, Singapore
| | - Ngee Lek
- Duke-NUS Graduate Medical School, Singapore
- Department of Paediatrics, KK Women’s and Children’s Hospital, Singapore
| | - Fabian Yap
- Duke-NUS Graduate Medical School, Singapore
- Department of Paediatrics, KK Women’s and Children’s Hospital, Singapore
| | - Shu E. Soh
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, (A*STAR), Singapore
| | - Natarajan Padmapriya
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health Systems, Singapore
| | - Kok Hian Tan
- Division of Obstetrics and Gynaecology, KK Women’s and Children’s Hospital, Singapore
| | - Arijit Biswas
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health Systems, Singapore
| | - George Seow Heong Yeo
- Department of Maternal Fetal Medicine, KK Women’s and Children’s Hospital, Singapore
| | - Kenneth Kwek
- Department of Maternal Fetal Medicine, KK Women’s and Children’s Hospital, Singapore
| | - Peter D. Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, (A*STAR), Singapore
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Keith M. Godfrey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Seang Mei Saw
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Falk Müller-Riemenschneider
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
- Institute for Social Medicine, Epidemiology and Health Economics, Charite University Medical Centre, Berlin, Germany
| | - 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, National University Health Systems, Singapore
| | - Mary Foong-Fong Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, (A*STAR), Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
- Clinical Nutrition Research Centre, Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore
- * E-mail: (JKYC); (MFFC)
| | - Jerry Kok Yen Chan
- KK Research Centre, KK Women’s and Children’s Hospital, Singapore
- Duke-NUS Graduate Medical School, Singapore
- Department of Reproductive Medicine, KK Women’s and Children’s Hospital, Singapore
- * E-mail: (JKYC); (MFFC)
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18
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Padmapriya N, Shen L, Soh SE, Shen Z, Kwek K, Godfrey KM, Gluckman PD, Chong YS, Saw SM, Müller-Riemenschneider F. Physical Activity and Sedentary Behavior Patterns Before and During Pregnancy in a Multi-ethnic Sample of Asian Women in Singapore. Matern Child Health J 2015; 19:2523-35. [DOI: 10.1007/s10995-015-1773-3] [Citation(s) in RCA: 59] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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19
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Sathya N, Muthusamy P, Padmapriya N, Raja G, Deivasigamani K, Jayabalakrishnan C. Spectrometric, catalytic, and antimicrobial studies of mononuclear Ru(III) Schiff-base complexes. J COORD CHEM 2010. [DOI: 10.1080/00958970903089676] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- N. Sathya
- a Post Graduate and Research Department of Chemistry , Sri Ramakrishna Mission Vidyalaya College of Arts and Science , Coimbatore-641 020, Tamil Nadu, India
| | - P. Muthusamy
- a Post Graduate and Research Department of Chemistry , Sri Ramakrishna Mission Vidyalaya College of Arts and Science , Coimbatore-641 020, Tamil Nadu, India
| | - N. Padmapriya
- a Post Graduate and Research Department of Chemistry , Sri Ramakrishna Mission Vidyalaya College of Arts and Science , Coimbatore-641 020, Tamil Nadu, India
| | - G. Raja
- a Post Graduate and Research Department of Chemistry , Sri Ramakrishna Mission Vidyalaya College of Arts and Science , Coimbatore-641 020, Tamil Nadu, India
| | - K. Deivasigamani
- a Post Graduate and Research Department of Chemistry , Sri Ramakrishna Mission Vidyalaya College of Arts and Science , Coimbatore-641 020, Tamil Nadu, India
| | - C. Jayabalakrishnan
- a Post Graduate and Research Department of Chemistry , Sri Ramakrishna Mission Vidyalaya College of Arts and Science , Coimbatore-641 020, Tamil Nadu, India
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