1
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Yeum D, Gilbert-Diamond D, Doherty B, Coker M, Stewart D, Kirchner D, McRitchie S, Sumner S, Karagas MR, Hoen AG. Associations of maternal plasma and umbilical cord plasma metabolomics profiles with birth anthropometric measures. Pediatr Res 2023:10.1038/s41390-022-02449-2. [PMID: 36627359 DOI: 10.1038/s41390-022-02449-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 10/11/2022] [Accepted: 12/15/2022] [Indexed: 01/11/2023]
Abstract
BACKGROUND The metabolomics profiles of maternal plasma during pregnancy and cord plasma at birth might influence fetal growth and birth anthropometry. The objective was to examine how maternal plasma and umbilical cord plasma metabolites are associated with newborn anthropometric measures, a known predictor of future health outcomes. METHODS Pregnant women between 24 and 28 weeks of gestation were recruited as part of a prospective cohort study. Blood samples from 413 women at enrollment and 787 infant cord blood samples were analyzed using the Biocrates AbsoluteIDQ® p180 kit. Multivariable linear regression models were used to examine associations of cord and maternal metabolites with infant anthropometry at birth. RESULTS In cord blood samples from this rural cohort from New Hampshire of largely white residents, 13 metabolites showed negative associations, and 10 metabolites showed positive associations with birth weight Z-score. Acylcarnitine C5 showed negative association, and 4 lysophosphatidylcholines showed positive associations with birth length Z-score. Maternal blood metabolites did not significantly correlate with birth weight and length Z-scores. CONCLUSIONS Consistent findings were observed for several acylcarnitines that play a role in utilization of energy sources, and a lysophosphatidylcholine that is part of oxidative stress and inflammatory response pathways in cord plasma samples. IMPACT The metabolomics profiles of maternal plasma during pregnancy and cord plasma at birth may influence fetal growth and birth anthropometry. This study examines the independent effects of maternal gestational and infant cord blood metabolomes across different classes of metabolites on birth anthropometry. Acylcarnitine species were negatively associated and glycerophospholipids species were positively associated with weight and length Z-scores at birth in the cord plasma samples, but not in the maternal plasma samples. This study identifies lipid metabolites in infants that possibly may affect early growth.
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Affiliation(s)
- Dabin Yeum
- Department of Epidemiology, The Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
| | - Diane Gilbert-Diamond
- Department of Epidemiology, The Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.,Children's Environmental Health and Disease Prevention Center at Dartmouth, Hanover, NH, USA
| | - Brett Doherty
- Department of Epidemiology, The Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| | - Modupe Coker
- Department of Oral Biology, Rutgers School of Dental Medicine, Rutgers State University of New Jersey, Newark, NJ, USA
| | - Delisha Stewart
- Department of Nutrition, Gillings School of Global Public Health, Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC, USA
| | - David Kirchner
- Department of Nutrition, Gillings School of Global Public Health, Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC, USA
| | - Susan McRitchie
- Department of Nutrition, Gillings School of Global Public Health, Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC, USA
| | - Susan Sumner
- Department of Nutrition, Gillings School of Global Public Health, Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC, USA
| | - Margaret R Karagas
- Department of Epidemiology, The Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.,Children's Environmental Health and Disease Prevention Center at Dartmouth, Hanover, NH, USA
| | - Anne G Hoen
- Department of Epidemiology, The Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.,Department of Biomedical Data Science, Geisel School of Medicine, Lebanon, NH, USA
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2
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Juber NF, Abdulle A, AlJunaibi A, AlNaeemi A, Ahmad A, Leinberger-Jabari A, Al Dhaheri AS, AlZaabi E, Mezhal F, Al-Maskari F, AlAnouti F, Alsafar H, Alkaabi J, Wareth LA, Aljaber M, Kazim M, Weitzman M, Al-Houqani M, Ali MH, Oumeziane N, El-Shahawy O, Sherman S, AlBlooshi S, Shah SM, Loney T, Almahmeed W, Idaghdour Y, Ali R. Maternal Early-Life Risk Factors and Later Gestational Diabetes Mellitus: A Cross-Sectional Analysis of the UAE Healthy Future Study (UAEHFS). INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:10339. [PMID: 36011972 PMCID: PMC9408157 DOI: 10.3390/ijerph191610339] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 08/10/2022] [Accepted: 08/17/2022] [Indexed: 06/15/2023]
Abstract
Limited studies have focused on maternal early-life risk factors and the later development of gestational diabetes mellitus (GDM). We aimed to estimate the GDM prevalence and examine the associations of maternal early-life risk factors, namely: maternal birthweight, parental smoking at birth, childhood urbanicity, ever-breastfed, parental education attainment, parental history of diabetes, childhood overall health, childhood body size, and childhood height, with later GDM. This was a retrospective cross-sectional study using the UAE Healthy Future Study (UAEHFS) baseline data (February 2016 to April 2022) on 702 ever-married women aged 18 to 67 years. We fitted a Poisson regression to estimate the risk ratio (RR) for later GDM and its 95% confidence interval (CI). The GDM prevalence was 5.1%. In the fully adjusted model, females with low birthweight were four times more likely (RR 4.04, 95% CI 1.36-12.0) and females with a parental history of diabetes were nearly three times more likely (RR 2.86, 95% CI 1.10-7.43) to report later GDM. In conclusion, maternal birthweight and parental history of diabetes were significantly associated with later GDM. Close glucose monitoring during pregnancy among females with either a low birth weight and/or parental history of diabetes might help to prevent GDM among this high-risk group.
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Affiliation(s)
- Nirmin F. Juber
- Public Health Research Center, New York University Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates
| | - Abdishakur Abdulle
- Public Health Research Center, New York University Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates
| | - Abdulla AlJunaibi
- Department of Pediatrics, Zayed Military Hospital, Abu Dhabi P.O. Box 72763, United Arab Emirates
| | - Abdulla AlNaeemi
- Department of Cardiology, Zayed Military Hospital, Abu Dhabi P.O. Box 72763, United Arab Emirates
| | - Amar Ahmad
- Public Health Research Center, New York University Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates
| | - Andrea Leinberger-Jabari
- Public Health Research Center, New York University Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates
| | - Ayesha S. Al Dhaheri
- Department of Nutrition and Health, College of Medicine and Health Sciences, UAE University, Al-Ain P.O. Box 15551, United Arab Emirates
| | - Eiman AlZaabi
- Department of Pathology, Sheikh Shakhbout Medical City, Abu Dhabi P.O. Box 11001, United Arab Emirates
| | - Fatima Mezhal
- Public Health Research Center, New York University Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates
| | - Fatma Al-Maskari
- Institute of Public Health, College of Medicine and Health Sciences, UAE University, Al-Ain P.O. Box 15551, United Arab Emirates
- Zayed Center for Health Sciences, UAE University, Al-Ain P.O. Box 15551, United Arab Emirates
| | - Fatme AlAnouti
- College of Natural and Health Sciences, Zayed University, Abu Dhabi P.O. Box 144534, United Arab Emirates
| | - Habiba Alsafar
- Center for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi P.O. Box 127788, United Arab Emirates
- Department of Genetics and Molecular Biology, Khalifa University of Science and Technology, Abu Dhabi P.O. Box 127788, United Arab Emirates
- Department of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi P.O. Box 127788, United Arab Emirates
| | - Juma Alkaabi
- Department of Internal Medicine, College of Medicine and Health Sciences, UAE University, Al-Ain P.O. Box 15551, United Arab Emirates
| | - Laila Abdel Wareth
- The National Reference Laboratory, Abu Dhabi P.O. Box 92323, United Arab Emirates
| | - Mai Aljaber
- Healthpoint Hospital, Abu Dhabi P.O. Box 112308, United Arab Emirates
| | - Marina Kazim
- Abu Dhabi Blood Bank Services, SEHA, Abu Dhabi P.O. Box 109090, United Arab Emirates
| | - Michael Weitzman
- Department of Environmental Medicine, New York University of Medicine, New York, NY 10016, USA
| | - Mohammad Al-Houqani
- Department of Medicine, College of Medicine and Health Sciences, UAE University, Al-Ain P.O. Box 15551, United Arab Emirates
| | - Mohammed Hag Ali
- Faculty of Health Sciences, Higher Colleges of Technology, Abu Dhabi P.O. Box 25026, United Arab Emirates
| | - Naima Oumeziane
- Abu Dhabi Blood Bank Services, SEHA, Abu Dhabi P.O. Box 109090, United Arab Emirates
| | - Omar El-Shahawy
- Department of Population Health, New York University School of Medicine, New York, NY 10016, USA
| | - Scott Sherman
- Department of Population Health, New York University School of Medicine, New York, NY 10016, USA
| | - Sharifa AlBlooshi
- College of Natural and Health Sciences, Zayed University, Dubai P.O. Box 19282, United Arab Emirates
| | - Syed M. Shah
- Institute of Public Health, College of Medicine and Health Sciences, UAE University, Al-Ain P.O. Box 15551, United Arab Emirates
| | - Tom Loney
- College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai P.O. Box 505055, United Arab Emirates
| | - Wael Almahmeed
- Heart and Vascular Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi P.O. Box 112412, United Arab Emirates
| | - Youssef Idaghdour
- Public Health Research Center, New York University Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates
| | - Raghib Ali
- Public Health Research Center, New York University Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates
- MRC Epidemiology Unit, University of Cambridge, Cambridge CB2 1TN, UK
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3
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Mekonnen T, Brantsæter AL, Andersen LF, Lien N, Arah OA, Gebremariam MK, Papadopoulou E. Mediators of differences by parental education in weight-related outcomes in childhood and adolescence in Norway. Sci Rep 2022; 12:5671. [PMID: 35383270 PMCID: PMC8983661 DOI: 10.1038/s41598-022-09987-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 03/31/2022] [Indexed: 11/30/2022] Open
Abstract
Studies exploring mediators of socioeconomic inequalities in excess weight gain in early-life and subsequent overweight/obesity (OW/OB) among youth are limited. Thus, this study examined the mediating role of prenatal and early postnatal factors and child energy balance-related behaviours (EBRB) in the effects of parental education on (i) excess weight gain from birth to 2 years and (ii) OW/OB at 5, 8 and 14 years. The Norwegian Mother, Father and Child Cohort Study was used to include participants at the ages of 2 (n = 59,597), 5 (n = 27,134), 8 (n = 28,285) and 14 (n = 11,278) years. Causal mediation analyses using the inverse odds weighting approach were conducted. Children of low-educated parents had a higher conditional excess weight gain at 2 years compared to children of high-educated parents (total effect, RRTE = 1.06; 95% CI 1.01, 1.10). The joint mediation effects of the prenatal and early postnatal factors explained most of the total effect of low education on conditional excess weight gain at 2 years. Children of low-educated parents had a higher risk of OW/OB at 5, 8 and 14 years compared to children of high-educated parents. The mediators jointly explained 63.7%, 67% and 88.9% of the total effect of parental education on OW/OB among 5, 8 and 14 year-old-children, respectively. Of the total mediated effects at 5, 8 and 14 years, the prenatal and early postnatal mediators explained 59.2%, 61.7% and 73.7%, whereas the child EBRB explained 10.3%, 15.8.0%% and 34.8%. The mediators included were found to have a considerable mediating effect in the associations explored, in particular the prenatal and early postnatal factors. If truly causal, the findings could indicate potential targets for interventions to tackle socioeconomic inequalities in OW/OB from birth to adolescence.
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Affiliation(s)
- Teferi Mekonnen
- Department of Nutrition, Faculty of Medicine, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
| | - Anne-Lise Brantsæter
- Division for Climate and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Lene F Andersen
- Department of Nutrition, Faculty of Medicine, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Nanna Lien
- Department of Nutrition, Faculty of Medicine, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Onyebuchi A Arah
- Department of Epidemiology and Department of Statistics, University of California, Los Angeles (UCLA), Los Angeles, USA
- Research Unit for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Mekdes K Gebremariam
- Department of Community Medicine and Global Health, Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Eleni Papadopoulou
- Global Health Cluster, Division of Health Service, Norwegian Institute of Public Health, Oslo, Norway
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4
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Bjøntegaard KA, Stafne SN, Mørkved S, Salvesen KÅ, Evensen KAI. Body mass index and physical activity in seven-year-old children whose mothers exercised during pregnancy: follow-up of a multicentre randomised controlled trial. BMC Pediatr 2021; 21:496. [PMID: 34743682 PMCID: PMC8574029 DOI: 10.1186/s12887-021-02952-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 10/12/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND There are limited data on long-term outcomes of children whose mothers have followed exercise interventions during pregnancy. The aim of this paper was to investigate whether regular moderate intensity exercise during pregnancy affected the children's body mass index (BMI) and physical activity (PA) at 7 years of age, and determine the relationship between children's and mothers' BMI and PA. METHODS This was a follow-up of a multicentre randomised controlled trial, carried out at St. Olavs Hospital, Trondheim University Hospital, and Stavanger University Hospital, Norway (2007-2009 and 2014-2016). Women were randomised to follow a 12-week structured exercise protocol or standard antenatal care during pregnancy. At the 7-year follow-up, parents reported their child's height, weight, and PA. The mothers also reported their own weight and PA. Main outcome variables were BMI, frequency and duration of moderate to vigorous PA (MVPA), and intensity of PA. RESULTS A total of 855 women were randomised to exercise (n = 429) or standard antenatal care (n = 426) during pregnancy. At follow-up, 164 (38.2%) children and mothers in the intervention group and 117 (27.5%) in the control group participated. We found no group differences in the children's iso-BMI or PA. Findings were similar when we performed stratified analyses by sex, except boys in the control group spent more time on electrical devices than boys in the intervention group. Subgroup analyses of children of mothers who adhered to the exercise protocol and sensitivity analyses excluding children born preterm, children admitted to the neonatal intensive care unit, and children with diseases or health problems at the 7-year follow-up, did not change the results. Children's BMI, weekly leisure time MVPA and intensity of PA correlated with mothers' BMI, daily exercise, and intensity of exercise. CONCLUSIONS Regular moderate intensity exercise during pregnancy did not affect BMI or PA of the children at 7 years. Good maternal health should be encouraged as it may influence the health of the next generation. TRIAL REGISTRATION The initial RCT study was registered in ClinicalTrials.gov NCT00476567 .
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Affiliation(s)
- Karen Alterhaug Bjøntegaard
- Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Signe Nilssen Stafne
- Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Clinic of Clinical Services, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Siv Mørkved
- Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Clinic of Clinical Services, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Kjell Åsmund Salvesen
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Department of Obstetrics and Gynecology, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Kari Anne I Evensen
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology (NTNU), Trondheim, Norway. .,Department of Physiotherapy, Oslo Metropolitan University, Oslo, Norway.
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5
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Spinelli A, Buoncristiano M, Nardone P, Starc G, Hejgaard T, Júlíusson PB, Fismen AS, Weghuber D, Musić Milanović S, García-Solano M, Rutter H, Rakovac I, Cucu A, Brinduse LA, Rito AI, Kovacs VA, Heinen MM, Nurk E, Mäki P, Abdrakhmanova S, Rakhmatulleoeva S, Duleva V, Farrugia Sant'Angelo V, Fijałkowska A, Gualtieri A, Sacchini E, Hassapidou M, Hyska J, Kelleher CC, Kujundžić E, Kunešová M, Markidou Ioannidou E, Ostojic SM, Peterkova V, Petrauskienė A, Popović S, Pudule I, Russell Jonsson K, Dal-Re Saavedra MÁ, Salanave B, Shengelia L, Spiroski I, Tanrygulyyeva M, Tichá Ľ, Usupova Z, Ozcebe LH, Abildina A, Schindler K, Weber MW, Filipović Hadžiomeragić A, Melkumova M, Stojisavljević D, Boymatova K, Williams J, Breda J. Thinness, overweight, and obesity in 6- to 9-year-old children from 36 countries: The World Health Organization European Childhood Obesity Surveillance Initiative-COSI 2015-2017. Obes Rev 2021; 22 Suppl 6:e13214. [PMID: 34235850 DOI: 10.1111/obr.13214] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/01/2021] [Accepted: 01/04/2021] [Indexed: 01/07/2023]
Abstract
In 2015-2017, the fourth round of the World Health Organization (WHO) European Childhood Obesity Surveillance Initiative (COSI) was conducted in 36 countries. National representative samples of children aged 6-9 (203,323) were measured by trained staff, with similar equipment and using a standardized protocol. This paper assesses the children's body weight status and compares the burden of childhood overweight, obesity, and thinness in Northern, Eastern, and Southern Europe and Central Asia. The results show great geographic variability in height, weight, and body mass index. On average, the children of Northern Europe were the tallest, those of Southern Europe the heaviest, and the children living in Central Asia the lightest and the shortest. Overall, 28.7% of boys and 26.5% of girls were overweight (including obesity) and 2.5% and 1.9%, respectively, were thin according to the WHO definitions. The prevalence of obesity varied from 1.8% of boys and 1.1% of girls in Tajikistan to 21.5% and 19.2%, respectively, in Cyprus, and tended to be higher for boys than for girls. Levels of thinness, stunting, and underweight were relatively low, except in Eastern Europe (for thinness) and in Central Asia. Despite the efforts to halt it, unhealthy weight status is still an important problem in the WHO European Region.
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Affiliation(s)
- Angela Spinelli
- National Centre for Disease Prevention and Health Promotion, Italian National Institute of Health (Istituto Superiore di Sanità), Rome, Italy
| | - Marta Buoncristiano
- World Health Organization (WHO) European Office for the Prevention and Control of Noncommunicable Diseases, Division of Country Health Programmes, WHO Regional Office for Europe, Moscow, Russian Federation
| | - Paola Nardone
- National Centre for Disease Prevention and Health Promotion, Italian National Institute of Health (Istituto Superiore di Sanità), Rome, Italy
| | - Gregor Starc
- Faculty of Sport, University of Ljubljana, Ljubljana, Slovenia
| | - Tatjana Hejgaard
- Health Promotion and Inequality, Danish Health Authority, Copenhagen, Denmark
| | - Petur Benedikt Júlíusson
- Department of Health Registry Research and Development, Norwegian Institute of Public Health, Bergen, Norway.,Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Anne-Siri Fismen
- Department of Health Promotion and Centre for Evaluation of Public Health Measures, Norwegian Institute of Public Health, Bergen, Norway
| | - Daniel Weghuber
- Department of Pediatrics, Paracelsus Medical University, Salzburg, Austria
| | - Sanja Musić Milanović
- Croatian Institute of Public Health, Zagreb, Croatia.,School of Medicine, University of Zagreb, Zagreb, Croatia
| | - Marta García-Solano
- Spanish Agency for Food Safety and Nutrition, Ministry of Consumer Affairs, Madrid, Spain
| | - Harry Rutter
- Department of Social and Policy Sciences, University of Bath, Bath, UK
| | - Ivo Rakovac
- World Health Organization (WHO) European Office for the Prevention and Control of Noncommunicable Diseases, Division of Country Health Programmes, WHO Regional Office for Europe, Moscow, Russian Federation
| | - Alexandra Cucu
- Faculty of Midwifery and Nursing, Discipline of Public health and Health Management, University of Medicine and Pharmacy Carol Davila Bucharest, Bucharest, Romania.,National Centre of Health Promotion and Health Evaluation, National Institute of Public Health, Bucharest, Romania
| | - Lacramioara Aurelia Brinduse
- National Centre of Health Promotion and Health Evaluation, National Institute of Public Health, Bucharest, Romania.,Faculty of Medicine, Department of Public Health and Management, University of Medicine and Pharmacy Carol Davila Bucharest, Bucharest, Romania
| | - Ana Isabel Rito
- WHO/Europe Collaborating Center for Nutrition and Childhood Obesity - Food and Nutrition Department, National Institute of Health Dr. Ricardo Jorge, Lisbon, Portugal
| | | | - Mirjam M Heinen
- National Nutrition Surveillance Centre, School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - Eha Nurk
- Department of Nutrition Research, National Institute for Health Development, Tallinn, Estonia
| | - Päivi Mäki
- Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Shynar Abdrakhmanova
- Department of Science and Professional Development, National Center of Public Health of the Ministry of Health of the Republic of Kazakhstan, Almaty, Kazakhstan.,Kazakhstan School of Public Health, Kazakhstan's Medical University, Almaty, Kazakhstan
| | - Sanavbar Rakhmatulleoeva
- Department of the Organization of Medical Services for Mothers, Children and Family Planning Ministry of Health and Social Protection, Dushanbe, Tajikistan
| | - Vesselka Duleva
- Department Food and Nutrition, National Center of Public Health and Analyses, Sofia, Bulgaria
| | | | - Anna Fijałkowska
- Department of Cardiology, Institute of Mother and Child, Warsaw, Poland
| | | | - Elena Sacchini
- Health Authority, Ministry of Health, San Marino, San Marino
| | - Maria Hassapidou
- Department of Nutritional Sciences and Dietetics, International Hellenic University, Thessaloniki, Greece
| | - Jolanda Hyska
- Nutrition and Food Safety Sector, Institute of Public Health, Tirana, Albania
| | - Cecily C Kelleher
- National Nutrition Surveillance Centre, School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - Enisa Kujundžić
- Center for Health Ecology, Institute of Public Health, Podgorica, Montenegro
| | - Marie Kunešová
- Obesity Management Centre, Institute of Endocrinology, Prague, Czech Republic
| | | | - Sergej M Ostojic
- Biomedical Sciences Department, Faculty of Sport and Physical Education, University of Novi Sad, Novi Sad, Serbia
| | - Valentina Peterkova
- Institute of Paediatric Endocrinology, National Medical Research Centre for Endocrinology of the Ministry of Health of the Russian Federation, Moscow, Russian Federation
| | - Aušra Petrauskienė
- Department of Preventive Medicine, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Stevo Popović
- Faculty for Sport and Physical Education, University of Montenegro, Niksic, Montenegro.,Montenegrin Sports Academy, Podgorica, Montenegro
| | - Iveta Pudule
- Department of Research and Health Statistics, Centre for Disease and Prevention Control, Riga, Latvia
| | - Kenisha Russell Jonsson
- Department of Living Conditions and Lifestyle, Public Health Agency of Sweden, Solna, Sweden
| | | | - Benoît Salanave
- Departement of Non-Communicable Diseases and Traumatisms, Santé publique France, the French Public Health Agency, Saint Maurice, France.,Nutritional Surveillance and Epidemiology Team (ESEN), University Sorbonne Paris Nord, Bobigny, France
| | - Lela Shengelia
- Maternal, Child and Reproductive Health, National Center for Disease Control and Public Health of Georgia, Tbilisi, Georgia
| | - Igor Spiroski
- Institute of Public Health, Skopje, North Macedonia.,Faculty of Medicine, Ss. Cyril and Methodius University, Skopje, North Macedonia
| | - Maya Tanrygulyyeva
- Scientific Research Institute of Maternal and Child Health, Ashgabat, Turkmenistan
| | - Ľubica Tichá
- Children's Hospital National Institute of Children's Diseases, Medical Faculty, Comenius University, Bratislava, Slovakia
| | - Zhamilya Usupova
- Republican Center for Health Promotion and Mass Communication, Ministry of Health of the Kyrgyz Republic, Bishkek, Kyrgyzstan
| | - Lütfiye Hilal Ozcebe
- Medical Faculty, Department of Public Health, Hacettepe University, Ankara, Turkey
| | - Akbota Abildina
- National Center of Public Health, Ministry of Health of the Republic of Kazakhstan/WHO Collaborating Center for Promoting Healthy Lifestyle, Nur-Sultan, Kazakhstan
| | - Karin Schindler
- Federal Ministry Social Affairs, Health Care and Consumer Protection, Division of Mother, Child, Gender Health and Nutrition, Vienna, Austria
| | - Martin W Weber
- World Health Organization (WHO) Child and Adolescent Health and Development, WHO Regional Office for Europe, Copenhagen, Denmark
| | - Aida Filipović Hadžiomeragić
- Department of Hygiene, Health Ecology Service, Institute of Public Health of Federation of Bosnia and Herzegovina, Sarajevo, Bosnia and Herzegovina
| | - Marina Melkumova
- Institute of Child and Adolescent Health, Arabkir Medical Centre- Institute of Child and Adolescent Health, Yerevan, Armenia
| | - Dragana Stojisavljević
- Faculty of Medicine, University of Banja Luka, Banja Luka, Bosnia and Herzegovina.,Public Health Institute of Republic of Srpska, Banja Luka, Bosnia and Herzegovina
| | - Khadichamo Boymatova
- Division of Noncommunicable Diseases and Promoting Health through the Life-course, WHO Tajikistan Country Office, Dushanbe, Tajikistan
| | - Julianne Williams
- World Health Organization (WHO) European Office for the Prevention and Control of Noncommunicable Diseases, Division of Country Health Programmes, WHO Regional Office for Europe, Moscow, Russian Federation
| | - João Breda
- World Health Organization (WHO) European Office for the Prevention and Control of Noncommunicable Diseases, Division of Country Health Programmes, WHO Regional Office for Europe, Moscow, Russian Federation
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6
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Agnihotri N, Øverby NC, Bere E, Wills AK, Brantsaeter AL, Hillesund ER. Childhood adherence to a potentially healthy and sustainable Nordic diet and later overweight: The Norwegian Mother, Father and Child Cohort Study (MoBa). MATERNAL AND CHILD NUTRITION 2020; 17:e13101. [PMID: 33103349 PMCID: PMC7988855 DOI: 10.1111/mcn.13101] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 08/28/2020] [Accepted: 09/29/2020] [Indexed: 12/19/2022]
Abstract
The New Nordic Diet (NND) is a potentially healthy and sustainable dietary pattern represented by locally available and traditionally consumed foods in the Northern countries. The diet has been commonly examined in adult populations, but less is known regarding its potential associations with overweight/obesity in children. We have previously developed child diet scores measuring compliance to the NND at child age 6 and 18 months and 3 and 7 years. In this study, we aimed to describe child and maternal characteristics and assess potential associations between the age‐specific diet scores and child overweight at 8 years. This study is based on the Norwegian Mother, Father and Child Cohort Study (MoBa), including 14,989 mother–child pairs and uses data from the Medical Birth Registry of Norway (MBRN). The scores measured NND compliance as a total score and categorized into low, medium and high NND compliance at each age point. Using logistic regression models, we investigated the association between each age‐specific score and the odds of overweight at 8 years. In crude analyses, adherence to the NND at 6 months was inversely associated with odds of overweight at 8 years in the continuous score (odds ratio = 0.95, 95% CI [0.91, 0.98]) and when comparing high versus low NND adherence (odds ratio = 0.81, 95% CI [0.70, 0.94]). The association was almost entirely attenuated in the adjusted models. In conclusion, child NND adherence up to 7 years of age was not associated with odds of overweight at 8 years in adjusted analyses.
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Affiliation(s)
- Neha Agnihotri
- Department of Nutrition and Public Health, University of Agder, Kristiansand, Norway
| | - Nina Cecilie Øverby
- Department of Nutrition and Public Health, University of Agder, Kristiansand, Norway
| | - Elling Bere
- Department of Health and Inequalities and Centre for Evaluation of Public Health Measures, Norwegian Institute of Public Health, Oslo, Norway.,Department of Sport Science and Physical Education, University of Agder, Kristiansand, Norway
| | | | - Anne Lise Brantsaeter
- Division of Infection Control and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
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Broccoli S, Djuric O, Bonvicini L, Davoli AM, Ferrari E, Ferrari F, Street ME, Giorgi Rossi P. Early life weight patterns and risk of obesity at 5 years: A population-based cohort study. Prev Med 2020; 134:106024. [PMID: 32061684 DOI: 10.1016/j.ypmed.2020.106024] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Revised: 02/03/2020] [Accepted: 02/10/2020] [Indexed: 12/27/2022]
Abstract
Childhood obesity is a major public health problem in industrialized countries. The aim of this study was to estimate the risk of obesity at age 5 based on BMI categories at age 3 and changes in BMI z-score from birth to 3 years of age. In this population-based study BMI data of 5173 children were collected at ages 3 and 5 and were linked to information relative to birth weight. The prevalence of obesity at age 5 was 3.8%. The risk of obesity for children born large for gestational age was 6.5%, while it was 18.6% for children overweight at age 3 and 62% for children who were obese at 3. An increase in BMI z-score from birth to 3 years increases the risk of obesity at age 5 (OR for increase of one standard deviation 2.8%; 95% CI: 2.46-3.20), but adjusting for BMI z-score at age 3, the effect of trajectory disappears (OR 1.08 95% CI: 0.9-1.29). In other words, if one targeted early preventive interventions to 3-year-olds affected by overweight/obesity (only 9.8% of the study cohort), one could possibly address 71% of children potentially affected by obesity at age 5.
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Affiliation(s)
- Serena Broccoli
- Epidemiology Unit, Azienda Unità Sanitaria Locale - IRCCS di Reggio Emilia, Italy
| | - Olivera Djuric
- Epidemiology Unit, Azienda Unità Sanitaria Locale - IRCCS di Reggio Emilia, Italy; Center for Environmental, Nutritional and Genetic Epidemiology (CREAGEN), Section of Public Health, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Italy.
| | - Laura Bonvicini
- Epidemiology Unit, Azienda Unità Sanitaria Locale - IRCCS di Reggio Emilia, Italy
| | - Anna Maria Davoli
- Primary Care Pediatrician, Azienda Unità Sanitaria Locale - IRCCS di Reggio Emilia, Italy
| | - Elena Ferrari
- Primary Care Pediatrician, Azienda Unità Sanitaria Locale - IRCCS di Reggio Emilia, Italy
| | - Francesca Ferrari
- Epidemiology Unit, Azienda Unità Sanitaria Locale - IRCCS di Reggio Emilia, Italy
| | - Maria Elisabeth Street
- Division of Paediatric Endocrinology and Diabetology Department of Mother and Child, IRCCS di Reggio Emilia, Italy
| | - Paolo Giorgi Rossi
- Epidemiology Unit, Azienda Unità Sanitaria Locale - IRCCS di Reggio Emilia, Italy
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8
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Yoshida S, Kimura T, Noda M, Takeuchi M, Kawakami K. Association of maternal prepregnancy weight and early childhood weight with obesity in adolescence: A population-based longitudinal cohort study in Japan. Pediatr Obes 2020; 15:e12597. [PMID: 31912637 PMCID: PMC7079020 DOI: 10.1111/ijpo.12597] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Revised: 08/31/2019] [Accepted: 10/21/2019] [Indexed: 01/21/2023]
Abstract
BACKGROUND The impact of birth weight and obesity in early childhood on obesity in adolescence remains unclear. OBJECTIVES To examine the association of overweight/obesity at age 15 years with birth weight, overweight/obesity in early childhood and overweight/obesity in mothers. METHODS This population-based retrospective cohort study used early childhood and school age health check-up data of 1581 children in Japan, followed-up until age 15 years. Generalized estimation equation analyses were used to investigate the association of overweight/obesity at age 15 years with low/high birth weight, overweight/obesity in 3 years of age and overweight/obesity in mothers. The cutoff points for all variables were defined by international criteria. RESULTS Of 1581 mother-child pairs, 130 (8.2%) children had low birth weight, while 93 (5.9%) and 167 (10.6%) were overweight/obese at age 3 and 15 years, respectively. Overweight/obesity at age 3 years and overweight/obesity in mothers were associated with overweight/obesity at age 15 years (adjusted odds ratio [aOR], 4.26; 95% confidence interval [CI]: 2.51-7.25 and (aOR, 2.46; 95% CI: 1.41-4.30). No association between low birth weight and overweight/obesity at age 15 years was observed. CONCLUSIONS Overweight/obesity in mothers and overweight/obesity at 3 years of age, but not birth weight, were associated with overweight/obesity at age 15 years.
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Affiliation(s)
- Satomi Yoshida
- Department of Pharmacoepidemiology, Graduate School of Medicine and Public HealthKyoto UniversityKyotoJapan
| | - Takeshi Kimura
- Department of Pharmacoepidemiology, Graduate School of Medicine and Public HealthKyoto UniversityKyotoJapan
| | - Masahiro Noda
- Department of Pharmacoepidemiology, Graduate School of Medicine and Public HealthKyoto UniversityKyotoJapan
| | - Masato Takeuchi
- Department of Pharmacoepidemiology, Graduate School of Medicine and Public HealthKyoto UniversityKyotoJapan
| | - Koji Kawakami
- Department of Pharmacoepidemiology, Graduate School of Medicine and Public HealthKyoto UniversityKyotoJapan
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9
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Ochiai H, Shirasawa T, Nishimura R, Yoshimoto T, Minoura A, Oikawa K, Miki A, Hoshino H, Kokaze A. Changes in overweight/obesity and central obesity status from preadolescence to adolescence: a longitudinal study among schoolchildren in Japan. BMC Public Health 2020; 20:241. [PMID: 32066409 PMCID: PMC7027048 DOI: 10.1186/s12889-020-8343-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Accepted: 02/10/2020] [Indexed: 01/07/2023] Open
Abstract
Background Little is known about changes in overweight/obesity and central obesity status among schoolchildren from preadolescence to adolescence in Japan, where waist circumference (WC) is generally not measured in annual health examinations at elementary and junior high schools. This study examined changes of overweight/obesity and central obesity status among schoolboys and schoolgirls from preadolescence to adolescence in Japan. Methods Study subjects were fourth-grade school children (9 or 10 years of age) from all four of Ina town’s elementary schools in Japan. Measurement of each participant’s height, weight, and WC were made at baseline and 3 years later. Childhood overweight/obesity was determined according to the age- and sex-specific body mass index cut-off points proposed by the International Obesity Task Force. Central obesity was defined as waist-to-height ratio ≥ 0.5. Kappa (κ) statistic was calculated to examine the tracking of overweight/obesity and central obesity. Results Data from 1436 participants (boys: n = 720, girls: n = 716) were analyzed. Overweight/obesity status tracked substantially from fourth grade to seventh grade in both boys (κ = 0.614, P value < 0.001) and girls (κ = 0.619, P value < 0.001). Among participants who were overweight/obese in fourth grade, 55.2% of boys and 63.2% of girls were still overweight/obese in seventh grade. Tracking of central obesity from fourth graders to seventh graders was substantial in boys (κ = 0.651, P value < 0.001) and moderate in girls (κ = 0.544, P value < 0.001). Among participants who had central obesity in fourth grade, 54.1% of boys and 52.6% of girls still had central obesity in seventh grade. Conclusions The present study showed that the tracking of overweight/obesity from preadolescence to adolescence was substantial in boys and girls. Moreover, more than half of those who had central obesity in preadolescence had central obesity in adolescence. This study suggests that it is important to implement a primary prevention program for overweight/obesity and central obesity in elementary schools before fourth grade.
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Affiliation(s)
- Hirotaka Ochiai
- Department of Hygiene, Public Health and Preventive Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8555, Japan.
| | - Takako Shirasawa
- Department of Hygiene, Public Health and Preventive Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8555, Japan
| | - Rimei Nishimura
- Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Jikei University School of Medicine, 3-25-8 Nishi-Shinbashi Minato-ku, Tokyo, 105-8461, Japan
| | - Takahiko Yoshimoto
- Department of Hygiene, Public Health and Preventive Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8555, Japan
| | - Akira Minoura
- Department of Hygiene, Public Health and Preventive Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8555, Japan
| | - Kosuke Oikawa
- Department of Hygiene, Public Health and Preventive Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8555, Japan
| | - Ayako Miki
- Department of Hygiene, Public Health and Preventive Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8555, Japan
| | - Hiromi Hoshino
- Department of Hygiene, Public Health and Preventive Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8555, Japan
| | - Akatsuki Kokaze
- Department of Hygiene, Public Health and Preventive Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8555, Japan
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10
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Socioeconomic inequalities in childhood-to-adulthood BMI tracking in three British birth cohorts. Int J Obes (Lond) 2019; 44:388-398. [PMID: 31168054 PMCID: PMC6997121 DOI: 10.1038/s41366-019-0387-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Revised: 03/27/2019] [Accepted: 04/19/2019] [Indexed: 01/10/2023]
Abstract
BACKGROUND Body mass index (BMI) tracks from childhood-to-adulthood, but the extent to which this relationship varies across the distribution and according to socio-economic position (SEP) is unknown. We aimed to address this using data from three British cohort studies. METHODS We used data from: 1946 National Survey of Health and Development (NSHD, n = 2470); 1958 National Child Development Study (NCDS, n = 7747); 1970 British Cohort Study (BCS, n = 5323). BMI tracking between 11 and 42 years was estimated using quantile regression, with estimates reflecting correlation coefficients. SEP disparities in tracking were investigated using a derived SEP variable based on parental education reported in childhood. This SEP variable was then interacted with the 11-year BMI z-score. RESULTS In each cohort and sex, tracking was stronger at the upper end of the distribution of BMI at 42 years. For example, for men in the 1946 NSHD, the tracking estimate at the 10th quantile was 0.31 (0.20, 0.41), increasing to 0.71 (0.61, 0.82) at the 90th quantile. We observed no strong evidence of SEP inequalities in tracking in men in the 1946 and 1958 cohorts. In the 1970 cohort, however, we observed tentative evidence of stronger tracking in low SEP groups, particularly in women and at the higher end of the BMI distribution. For example, women in the 1970 cohort from low SEP backgrounds had tracking coefficients at the 50th, 70th, and 90th quantiles, which were 0.05 (-0.04; 0.15), 0.19 (0.06; 0.31), and 0.22 (0.02; 0.43) units higher, respectively, than children from high SEP groups. CONCLUSION Tracking was consistently stronger at the higher quantiles of the BMI distribution. We observed suggestive evidence for a pattern of greater BMI tracking in lower (compared to higher) SEP groups in the more recently born cohort, particularly in women and at the higher end of the BMI distribution.
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11
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Aris IM, Rifas-Shiman SL, Li LJ, Kleinman KP, Coull BA, Gold DR, Hivert MF, Kramer MS, Oken E. Patterns of body mass index milestones in early life and cardiometabolic risk in early adolescence. Int J Epidemiol 2019; 48:157-167. [PMID: 30624710 PMCID: PMC6380298 DOI: 10.1093/ije/dyy286] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/18/2018] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Few studies have examined the independent and combined relationships of body mass index (BMI) peak and rebound with adiposity, insulin resistance and metabolic risk later in life. We used data from Project Viva, a well-characterized birth cohort from Boston with repeated measures of BMI, to help fill this gap. METHODS Among 1681 children with BMI data from birth to mid childhood, we fitted individual BMI trajectories using mixed-effects models with natural cubic splines and estimated age, and magnitude of BMI, at peak (in infancy) and rebound (in early childhood). We obtained cardiometabolic measures of the children in early adolescence (median 12.9 years) and analysed their associations with the BMI parameters. RESULTS After adjusting for potential confounders, age and magnitude at infancy BMI peak were associated with greater adolescent adiposity, and earlier adiposity rebound was strongly associated with greater adiposity, insulin resistance and metabolic risk score independently of BMI peak. Children with a normal timing of BMI peak plus early rebound had an adverse cardiometabolic profile, characterized by higher fat mass index {β 2.2 kg/m2 [95% confidence interval (CI) 1.6, 2.9]}, trunk fat mass index [1.1 kg/m2 (0.8, 1.5)], insulin resistance [0.2 units (0.04, 0.4)] and metabolic risk score [0.4 units (0.2, 0.5)] compared with children with a normal BMI peak and a normal rebound pattern. Children without a BMI peak (no decline in BMI after the rise in infancy) also had adverse adolescent metabolic profiles. CONCLUSIONS Early age at BMI rebound is a strong risk factor for cardiometabolic risk, independent of BMI peak. Children with a normal peak-early rebound pattern, or without any BMI decline following infancy, are at greatest risk of adverse cardiometabolic profile in adolescence. Routine monitoring of BMI may help to identify children who are at greatest risk of developing an adverse cardiometabolic profile in later life and who may be targeted for preventive interventions.
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Affiliation(s)
- Izzuddin M Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Ling-Jun Li
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Division of Obstetrics and Gynecology, KK Women’s and Children’s Hospital, Singapore, Singapore
- Obstetrics and Gynecology Academic Clinical Programme, Duke-NUS Medical School, Singapore, Singapore
| | - Ken P Kleinman
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA, USA
| | - Brent A Coull
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Diane R Gold
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Environmental Medicine, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Michael S Kramer
- Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Departments of Pediatrics
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University Faculty of Medicine, Montreal, QC, Canada
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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12
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Prado TGD, Costa JCD, Bueno MRDO, Batista MB, Romanzini M, Ronque ERV. TRACKING OF NUTRITIONAL STATUS BETWEEN CHILDHOOD AND ADOLESCENCE IN SCHOOLCHILDREN. REV BRAS MED ESPORTE 2018. [DOI: 10.1590/1517-869220182406181086] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
ABSTRACT Introduction: In view of the growing prevalence of childhood excess weight and obesity In Brazil In recent decades, it is necessary to observe how this phenomenon occurs in the period of transition to adolescence. Objective: To verify the tracking of excess weight between childhood and adolescence in schoolchildren of both sexes. Methods: The study has a longitudinal design and the data used are part of a prospective study carried out from 2002 to 2005. Participants included 397 schoolchildren of both sexes (211 boys and 186 girls). The nutritional status was determined by the body mass index, and the participants were divided into the following groups: Normal Weight to Normal Weight, Normal Weight to Excess Weight, Excess Weight to Excess Weight, Excess Weight to Normal Weight. The tracking was analyzed using the intraclass correlation coefficient (ICC) and Kappa (k) index. Results: A significant difference (P <0.05) was observed between all variables (age and anthropometric indicators) between 2002 and 2005 for boys and girls. The ICC indicated tracking classified as high (ICC = 0.87) for the BMI values, and the tracking percentage showed that 87% of the subjects remained in the same category of normal weight and excess weight. The values of k = 0.68 show good tracking (P <0.001), indicating a strong maintenance of the subjects in the normal and excess weight categories. Conclusion: The tracking percentage was high, indicating that both boys and girls maintained the classification of excess weight during the period analyzed. Level of Evidence II; Lesser quality prospective study (eg, patients enrolled at different points in their disease or <80% followup).
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13
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Yackobovitch-Gavan M, Wolf D, Nagelberg N, Poraz I, Shalitin S, Phillip M, Meyerovitch J. Response to letter of Dawson J. A, Brown A. W and Allison D. B: intervention for childhood obesity based on parents only or parents and child compared to follow-up alone. Pediatr Obes 2018; 13:658. [PMID: 30160069 DOI: 10.1111/ijpo.12433] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Accepted: 05/15/2018] [Indexed: 11/29/2022]
Affiliation(s)
- M Yackobovitch-Gavan
- The Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - D Wolf
- The Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - N Nagelberg
- The Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
| | - I Poraz
- Department of Clinical Nutrition and Dietetics, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
| | - S Shalitin
- The Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - M Phillip
- The Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - J Meyerovitch
- The Jesse Z and Sara Lea Shafer Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Medicine Wing, Community Division, Clalit Health Services, Tel Aviv, Israel
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14
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Aris IM, Rifas-Shiman SL, Li LJ, Kleinman K, Coull BA, Gold DR, Hivert MF, Kramer MS, Oken E. Pre-, Perinatal, and Parental Predictors of Body Mass Index Trajectory Milestones. J Pediatr 2018; 201:69-77.e8. [PMID: 29960766 PMCID: PMC6153023 DOI: 10.1016/j.jpeds.2018.05.041] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2018] [Revised: 05/01/2018] [Accepted: 05/24/2018] [Indexed: 12/18/2022]
Abstract
OBJECTIVE To assess associations of pre-, perinatal, and parental factors with age and magnitude at body mass index (BMI) peak and rebound. STUDY DESIGN Among 1681 children with BMI data from birth to mid-childhood in Project Viva, we fitted individual BMI trajectories using mixed-effect models with natural cubic spline functions and estimated age and magnitude at peak in infancy and rebound in early childhood. We used stepwise multivariable regression to identify predictors of peak and rebound in the 1354 (63.6%) children with estimable trajectory milestones. RESULTS The mean (SD) of age at BMI peak was 8.4 (2.7) months and at rebound was 59.8 (19.6) months, and the mean (SD) of magnitude at peak was 18.0 (1.4) kg/m2 and at rebound was 15.9 (1.2) kg/m2. Girls had a later age at peak, earlier age at rebound, and lower magnitudes at peak and rebound than boys. Maternal isolated hyperglycemia (vs normoglycemia: β 0.7 months [95% CI 0.2-1.2]) and pre-eclampsia (vs normal blood pressure: 1.6 months [0.8-2.4]) were associated with a later peak, and impaired glucose tolerance (vs normoglycemia: -0.5 kg/m2 [-0.9, -0.1]) was associated with a lower magnitude at peak. Greater maternal first-trimester weight gain, smoking during pregnancy, no breastfeeding, parental obesity, and no university education were associated with greater BMI at rebound. CONCLUSIONS We have identified modifiable prenatal and parental predictors of BMI peak in infancy and rebound in childhood. Early-life interventions that address these factors may be effective in changing BMI peak and rebound and potentially preventing later obesity.
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Affiliation(s)
- Izzuddin M Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA; Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Agency for Science, Technology and Research, Singapore Institute for Clinical Sciences, Singapore, Singapore.
| | - Sheryl L. Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Ling-Jun Li
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA,Division of Obstetrics and Gynecology, KK Women’s and Children’s Hospital, Singapore, Singapore,Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Ken Kleinman
- Department of Biostatistics, School of Public Health and Human Sciences, University of Massachusetts Amherst, Amherst, Massachusetts, USA
| | - Brent A Coull
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Diane R Gold
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA,Department of Environmental Medicine, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA,Diabetes Unit, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Michael S Kramer
- Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore,Departments of Pediatrics and of Epidemiology, Biostatistics and Occupational Health, McGill University Faculty of Medicine, Montreal, Canada
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, USA
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15
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Ronque ERV, Werneck AO, Bueno MRO, Cyrino ES, Stanganelli LCR, Arruda M. Tracking of body adiposity indicators from childhood to adolescence: Mediation by BMI. PLoS One 2018; 13:e0191908. [PMID: 29408914 PMCID: PMC5800694 DOI: 10.1371/journal.pone.0191908] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2017] [Accepted: 01/12/2018] [Indexed: 02/03/2023] Open
Abstract
Our aim was to verify the tracking of body adiposity indicators from childhood to adolescence and analyze the mediation effects of BMI on the stability of body adiposity. Our sample was composed by 375 children (197 boys). The children were followed-up over 3 years. Body mass and stature were measured as anthropometric indicators. Body adiposity was estimated through the subcutaneous skinfold method, with measures of triceps (TRSF) and subscapular skinfolds (SSSF). Skinfolds were analyzed singly and agglutinated through the sum of skinfolds (∑SF). The sample was categorized into tertiles, and thereafter, the kappa coefficient and McNemar test were adopted to verify stability. For continuous measures, the Intra-Class Correlation coefficient (ICC) was used. Moreover, mediation analyzes were used according to Baron and Kenny with the Sobel test to verify mediation effects. The significance level adopted was 5%. Adiposity indicators increased during the 3 years of follow-up in both sexes (p<0.05). ICCs in all indicators of adiposity were between 0.84 and 0.94 for boys and 0.86 and 0.94 for girls, indicating high tracking. Moreover, 70% of subjects remained in the highest tertile of body adiposity. However, no differences were observed in tertile changes (p>0.05). BMI at the age of adiposity rebound partially mediated all indicators of adiposity from childhood (baseline) to adolescence (3 years later) in both sexes (p<0.001). Thus, moderate to high tracking of body adiposity indicators between childhood and adolescence was verified. Moreover, BMI at the age of adiposity rebound partially mediated the relationship between adiposity in childhood (baseline) and in adolescence (3 years of follow-up).
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Affiliation(s)
- Enio R. V. Ronque
- Study and Research Group in Physical Activity and Exercise–GEPAFE. State University of Londrina–UEL, Londrina, Brazil
- Study and Research Group in Metabolism, Nutrition, and Exercise–GEPEMENE. State University of Londrina–UEL, Londrina, Brazil
- * E-mail:
| | - André O. Werneck
- Study and Research Group in Physical Activity and Exercise–GEPAFE. State University of Londrina–UEL, Londrina, Brazil
- Study and Research Group in Metabolism, Nutrition, and Exercise–GEPEMENE. State University of Londrina–UEL, Londrina, Brazil
| | - Maria R. O. Bueno
- Study and Research Group in Physical Activity and Exercise–GEPAFE. State University of Londrina–UEL, Londrina, Brazil
| | - Edilson S. Cyrino
- Study and Research Group in Physical Activity and Exercise–GEPAFE. State University of Londrina–UEL, Londrina, Brazil
- Study and Research Group in Metabolism, Nutrition, and Exercise–GEPEMENE. State University of Londrina–UEL, Londrina, Brazil
| | | | - Miguel Arruda
- Study and Research Group in Physical Activity and Exercise–GEPAFE. State University of Londrina–UEL, Londrina, Brazil
- Faculty of Physical Education, State University of Campinas, São Paulo, Brazil
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Chang LY, Mendelsohn AL, Fierman AH, Au LY, Messito MJ. Perception of Child Weight and Feeding Styles in Parents of Chinese-American Preschoolers. J Immigr Minor Health 2018; 19:302-308. [PMID: 28050678 DOI: 10.1007/s10903-016-0541-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Parent perception of weight and feeding styles are associated with obesity in other racial groups but have not been explored in-depth in Chinese-American preschoolers. Cross-sectional survey of 253 Chinese-American parents with preschoolers was performed in a community clinic. Regression analysis was used to assess relationships between parental perception of weight and feeding styles. Parent under-perception of weight was common but more likely in boys than girls (χ2 = 4.91, p = 0.03). Pressuring was also greater in boys [adjusted mean difference (95% CI) 0.24 (0.004, 0.49)]. In girls, pressuring was lower for children perceived as overweight [adjusted mean difference in CFQ scores -0.75 (-1.27, -0.23)]; in boys, pressuring was high regardless of perceived child weight. Weight perceptions and feeding styles related to childhood obesity in other groups were identified in Chinese-American families. Parent under-perception of child weight and pressure to eat were more common in boys. These factors should be addressed in Chinese-American preschooler obesity prevention programs.
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Affiliation(s)
- Lucy Y Chang
- Department of Pediatrics, New York University School of Medicine, New York, NY, USA.
| | - Alan L Mendelsohn
- Department of Pediatrics, New York University School of Medicine, New York, NY, USA
| | - Arthur H Fierman
- Department of Pediatrics, New York University School of Medicine, New York, NY, USA
| | - Loretta Y Au
- Department of Pediatrics, Charles B. Wang Community Health Center, New York, NY, USA
| | - Mary Jo Messito
- Department of Pediatrics, New York University School of Medicine, New York, NY, USA
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Donkor HM, Grundt JH, Júlíusson PB, Eide GE, Hurum J, Bjerknes R, Markestad T. Social and somatic determinants of underweight, overweight and obesity at 5 years of age: a Norwegian regional cohort study. BMJ Open 2017; 7:e014548. [PMID: 28821510 PMCID: PMC5724122 DOI: 10.1136/bmjopen-2016-014548] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
OBJECTIVE To identify associations between the weight groups underweight (UW), overweight (OW) and obesity (OB) at 5 years of age and exposures related to pregnancy, anthropometric measures at birth, sociodemographic factors, and family health, anthropometric measures and habits. DESIGN Regional cohort study. SETTING Oppland County, Norway. METHODS Pregnancy data were obtained from a prospective perinatal register for children born in the county, and weight and height were measured by midwives at birth and by public health nurses at 5 years. Other information was obtained from questionnaires completed by parents. PARTICIPANTS Of 1895 eligible children, current weight and height were obtained for all, weight and length at birth and information from parents for 1119 (59%) and pregnancy register data for 749 (40%) of the children. The significance of potential explanatory variables from descriptive statistics was tested in multinomial logistic regression analysis. RESULTS The prevalence of UW, OW and OB among participants was 7.8%, 10.6% and 3.5%, respectively. UW was associated with anthropometric measures at birth and those of parents, but not with sociodemographic or behavioural characteristics. OW and OB were associated with anthropometric measures of parents and siblings and with a variety of unfavourable social characteristics, lack of prolonged breast feeding, sedentary behaviour and dental caries, but not with current dietary habits. After adjustments, OW and OB were marginally related to birth parameters and diet and unrelated to physical activity, but significantly related to parental body mass index, low parental education and maternal smoking. CONCLUSION The strong associations between sociodemographic and behavioural factors and OW and OB, but not with UW, may suggest that environmental factors are major contributing causes of OW and particularly OB at 5 years. These results may be helpful in targeting preventive measures against OW and OB.
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Affiliation(s)
- Hilde Mjell Donkor
- Department of Paediatrics, Innlandet Hospital Trust, Lillehammer, Norway
| | | | - Pétur Benedikt Júlíusson
- Department of Clinical Science, Faculty of Medicine and Dentistry, University of Bergen, Bergen, Norway
| | - Geir Egil Eide
- Centre for Clinical Research, Haukeland University Hospital, Bergen, Norway
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Jørgen Hurum
- Department of Paediatrics, Innlandet Hospital Trust, Lillehammer, Norway
| | - Robert Bjerknes
- Department of Clinical Science, Faculty of Medicine and Dentistry, University of Bergen, Bergen, Norway
| | - Trond Markestad
- Department of Clinical Science, Faculty of Medicine and Dentistry, University of Bergen, Bergen, Norway
- Department of Research, Innlandet Hospital Trust, Lillehammer, Norway
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Evensen E, Emaus N, Kokkvoll A, Wilsgaard T, Furberg AS, Skeie G. The relation between birthweight, childhood body mass index, and overweight and obesity in late adolescence: a longitudinal cohort study from Norway, The Tromsø Study, Fit Futures. BMJ Open 2017; 7:e015576. [PMID: 28645970 PMCID: PMC5734247 DOI: 10.1136/bmjopen-2016-015576] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2016] [Revised: 03/10/2017] [Accepted: 04/03/2017] [Indexed: 11/21/2022] Open
Abstract
OBJECTIVES Childhood overweight/obesity is associated with later overweight/obesity. However, the association between birth weight and later overweight/obesity has not been established. The aim of this study was to investigate the relation between both birth weight and childhood body mass index (BMI), and adolescent overweight/obesity in a Norwegian population. METHODS The Tromsø Study - Fit Futures is a population-based cohort study conducted in 2010-2011 and 2012-2013 in Tromsø, Norway. A representative sample of 961 adolescents participated. Longitudinal anthropometric data were obtained from the Medical Birth Registry of Norway, childhood health records at 2-4 and 5-7 years of age, and repeated measurements at 15-18 and 18-20 years of age. Outcome was defined as normal weight (adult BMI <25 kg/m2) or overweight/obese (adult BMI ≥2 5 kg/m2) at 15-20 years of age according to international age- and sex-specific cut-off values for children. Associations were investigated using generalised estimating equations. RESULTS In adjusted analyses, a 1-SD (586 g) higher birth weight was associated with a higher OR for overweight/obesity at 15-20 years of age (OR 1.25, 95% CI 1.06 to 1.48). Childhood BMI was also associated with overweight/obesity at 15-20 years of age: a 1-SD (1.35 kg/m2) increase in BMI at age 2-4 years rendered an OR of 1.66 (95% CI 1.40 to 1.96); a 1-SD (1.83 kg/m2) increase in BMI at age 5-7 years rendered an OR of 3.23 (95% CI 2.56 to 4.07). When compared with normal-weight children, those with severe overweight/obesity in childhood (adult BMI ≥27 kg/m2) showed stronger associations with overweight/obesity at 15-20 years of age: OR 3.01 (95% CI 1.47 to 6.18) and OR 11.51 (95% CI 6.63 to 19.99) at ages 2-4 and 5-7, respectively. CONCLUSION Associations between birth weight and overweight/obesity at 15-20 years of age were modest, whereas the influence of BMI at 2-4 and 5-7 years on overweight/obesity at 15-20 years was moderate to strong.
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Affiliation(s)
- Elin Evensen
- Department of Clinical Research, University Hospital of North Norway, Tromsø, Norway
| | - Nina Emaus
- Department of Health and Care Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Ane Kokkvoll
- Department of Paediatrics, Finnmark Hospital Trust, Hammerfest, Norway
- Paediatric Research Group, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Tom Wilsgaard
- Department of Clinical Research, University Hospital of North Norway, Tromsø, Norway
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Anne-Sofie Furberg
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
- Department of Microbiology and Infection Control, University Hospital of North Norway, Tromsø, Norway
| | - Guri Skeie
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
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Feldman-Winter L, Burnham L, Grossman X, Matlak S, Chen N, Merewood A. Weight gain in the first week of life predicts overweight at 2 years: A prospective cohort study. MATERNAL AND CHILD NUTRITION 2017. [PMID: 28636245 DOI: 10.1111/mcn.12472] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
In formula-fed infants, rapid weight gain during the first week of life is associated with later obesity. To examine the association between weight gain during the first week and overweight at age 2 among infants with various feeding practices and the relationship between exclusive breastfeeding in early infancy and overweight, we enrolled a prospective cohort of healthy mother-infant dyads and followed them for 2 years. We enrolled 450 mother/infant pairs and obtained information on 306 infants at year 2. Weight change during the first week of life and detailed feeding information were collected during the first month of life. Anthropometric measures were collected at 2 years. Overweight was defined as body mass index (BMI) ≥85th percentile for age. At 2 years, 81% had normal weights and 19% were overweight. Maternal pre-pregnancy BMI; infant birth weight; maternal education; and Women, Infants, and Children status were associated with the risk of overweight at age 2. Children who gained more than 100 g during the first week were 2.3 times as likely after adjustment (p = .02) to be overweight at age 2 compared to infants who lost weight. There was no association between feeding type and BMI, but feeding type was significantly associated with change in weight at week 1 and anthropometric measurements at age 2. Infant weight gain in the first week of life is related to overweight at age 2, and exclusively breastfed infants are least likely to gain ≥100 g.
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Affiliation(s)
- Lori Feldman-Winter
- Department of Pediatrics, The Children's Regional Hospital at Cooper, Cooper Medical School of Rowan University, Camden, New Jersey, USA
| | - Laura Burnham
- Division of General Pediatrics, Boston Medical Center, Boston, Massachusetts, USA
| | - Xena Grossman
- Division of General Pediatrics, Boston Medical Center, Boston, Massachusetts, USA
| | - Stephanie Matlak
- Division of General Pediatrics, Boston Medical Center, Boston, Massachusetts, USA
| | - Ning Chen
- Division of General Pediatrics, Boston Medical Center, Boston, Massachusetts, USA
| | - Anne Merewood
- Division of General Pediatrics, Boston Medical Center, Boston, Massachusetts, USA
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Chen JL, Esquivel JH, Guo J, Chesla CA, Tang S. Risk factors for obesity in preschool-aged children in China. Int Nurs Rev 2017; 65:217-224. [DOI: 10.1111/inr.12371] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Affiliation(s)
- J. - L. Chen
- School of Nursing; University of California San Francisco; San Francisco CA USA
| | - J. H. Esquivel
- Department of Cardiology and School of Nursing; University of California San Francisco; San Francisco CA USA
- Department of Family Health Care Nursing; University of California San Francisco; San Francisco CA USA
| | - J. Guo
- Xiangya School of Nursing; Central South University; Changsha China
| | - C. A. Chesla
- School of Nursing; University of California San Francisco; San Francisco CA USA
| | - S. Tang
- Xiangya School of Nursing; Central South University; Changsha China
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Kain J, Martínez M, Close M, Uauy R, Corvalán C. The association of excessive growth with development of general and central obesity at 7 years of age in every period after birth in Chilean children. Nutrition 2015; 32:426-31. [PMID: 26743976 DOI: 10.1016/j.nut.2015.09.018] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2015] [Revised: 09/25/2015] [Accepted: 09/26/2015] [Indexed: 12/17/2022]
Abstract
OBJECTIVE To determine whether overweight or obesity between 0 and 6 y increases the probability of developing general/central obesity at 7 y. METHODS Weight, height, and waist circumference were assessed between 0 and 6 y in 628 Chilean children. Body mass index, incidence of overweight (IOW), incidence of obesity (IOB), and prevalence at birth and 0 to 6, 6 to 24, 24 to 48, and 48 to 72 mo and odds ratio (OR) and 95% confidence interval (95% CI) for developing obesity/central obesity at 84 mo were calculated by sex. RESULTS IOW was highest at 6 to 24 mo (20.3% and 21.1% for girls and boys, respectively); IOB was highest at 6 to 24 and 24 to 48 mo (11% and 10%, respectively). OR for developing obesity at 7 y was significant if overweight was present 24 to 48 mo in girls and 6 to 24 mo in boys OR 2.47 [95% CI, 1.5-4] and OR 2.26 [95% CI, 1.30-3.92], respectively, and much higher for children who were obese, OR 6.1 (95% CI, 3.03-12.21) for girls 6 to 24 mo and OR 6.57 (95% CI, 2.55-16.86) for boys 0 to 6 mo. IOW or IOB was not associated with obesity at 84 mo, except for the previous period. Overweight also increased the risk of central obesity very early on, after 6 mo in girls and after birth in boys OR 3.8 [95% CI, 2.3-6.2] and OR 2.5 [95% CI, 2.04-3] at 6 to 24 and 0 to 6 mo, respectively, whereas obesity in all periods was associated with a significantly higher OR of presenting central obesity at 7 y. CONCLUSION There is tracking not only of obesity but also of overweight after birth for developing general or central obesity at 7 y. Prevention should begin very early on.
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Affiliation(s)
- Juliana Kain
- Institute of Nutrition and Food Technology, University of Chile, Santiago, Región Metropolitana, Chile.
| | - Mario Martínez
- Statistics, University of Manchester, Manchester, United Kingdom
| | - Michael Close
- Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Ricardo Uauy
- Institute of Nutrition and Food Technology, University of Chile, Santiago, Región Metropolitana, Chile
| | - Camila Corvalán
- Institute of Nutrition and Food Technology, University of Chile, Santiago, Región Metropolitana, Chile
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