1
|
Adise S, Ottino-Gonzalez J, Hayati Rezvan P, Kan E, Rhee KE, Goran MI, Sowell ER. Smaller subcortical volume relates to greater weight gain in girls with initially healthy weight. Obesity (Silver Spring) 2024. [PMID: 38710591 DOI: 10.1002/oby.24028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 02/26/2024] [Accepted: 02/28/2024] [Indexed: 05/08/2024]
Abstract
OBJECTIVE Among 3614 youth who were 9 to 12 years old and initially did not have overweight or obesity (12% [n = 385] developed overweight or obesity), we examined the natural progression of weight gain and brain structure development during a 2-year period with a high risk for obesity (e.g., pre- and early adolescence) to determine the following: 1) whether variation in maturational trajectories of the brain regions contributes to weight gain; and/or 2) whether weight gain contributes to altered brain development. METHODS Data were gathered from the Adolescent Brain Cognitive Development (ABCD) Study. Linear mixed-effects regression models controlled for puberty, caregiver education, handedness, and intracranial volume (random effects: magnetic resonance scanner [MRI] scanner and participant). Because pubertal development occurs earlier in girls, analyses were stratified by sex. RESULTS For girls, but not boys, independent of puberty, greater increases in BMI were driven by smaller volumes over time in the bilateral accumbens, amygdala, hippocampus, and thalamus, right caudate and ventral diencephalon, and left pallidum (all p < 0.05). CONCLUSIONS The results suggest a potential phenotype for identifying obesity risk because underlying differences among regions involved in food intake were related to greater weight gain in girls, but not in boys. Importantly, 2 years of weight gain may not be sufficient to alter brain development, highlighting early puberty as a critical time to prevent negative neurological outcomes.
Collapse
Affiliation(s)
- Shana Adise
- Division of Endocrinology, Diabetes and Metabolism, Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, California, USA
| | - Jonatan Ottino-Gonzalez
- Division of Endocrinology, Diabetes and Metabolism, Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, California, USA
| | - Panteha Hayati Rezvan
- Biostatistics and Data Management Core, The Saban Research Institute, Children's Hospital Los Angeles, Los Angeles, California, USA
| | - Eric Kan
- Division of Pediatric Research Administration, Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, California, USA
| | - Kyung E Rhee
- Department of Pediatrics, University of California, San Diego, California, USA
| | - Michael I Goran
- Division of Endocrinology, Diabetes and Metabolism, Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, California, USA
| | - Elizabeth R Sowell
- Division of Neurology, Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, California, USA
| |
Collapse
|
2
|
Maidowski L, Kiess W, Baber R, Dathan-Stumpf A, Ceglarek U, Vogel M. Tracking of serum lipids in healthy children on a year-to-year basis. BMC Cardiovasc Disord 2023; 23:386. [PMID: 37532994 PMCID: PMC10398926 DOI: 10.1186/s12872-023-03391-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 07/11/2023] [Indexed: 08/04/2023] Open
Abstract
OBJECTIVES To assess the stability of lipid profiles throughout childhood and evaluate their onset and dynamic. MATERIALS AND METHODS Lipid markers were longitudinally measured in more than 1300 healthy children from the LIFE Child study (Germany) and categorized into normal, at-risk, or adverse. Year-to-year intra-person persistence of the categories during follow-ups was examined and Pearson's correlation coefficient was calculated. RESULTS We found strong positive correlations for TC, LDL-C and ApoB (r > 0.75, p < 0.001) from the age of four years. Correlations were lowest during the first two years of life. Most children with normal levels also had normal levels the following year. Children with at-risk levels showed a tendency towards normal levels at the follow-up visit. Adverse levels of TC, LDL-C, ApoB (all ages), and HDL-C (from age 15) persisted in more than half of the affected children. Age-dependent patterns of stability were most pronounced and similar for TC, LDL-C, and ApoB. CONCLUSIONS Normal levels of serum lipids show high stability and adverse levels stabilized in early childhood for TC, LDL, and ApoB. At-risk and adverse levels of TC, LDL-C or ApoB may warrant further or repeated diagnostic measurements with regards to preventing CVD in the long run.
Collapse
Affiliation(s)
- Ludwig Maidowski
- University of Leipzig, LIFE Child Leipzig Research Center for Civilization Diseases, Philipp-Rosenthal-Str. 27, 04103, Leipzig, Germany.
| | - Wieland Kiess
- University of Leipzig, LIFE Child Leipzig Research Center for Civilization Diseases, Philipp-Rosenthal-Str. 27, 04103, Leipzig, Germany
- University of Leipzig, Hospital for Children and Adolescents, Liebigstr. 20a, 04103, Leipzig, Germany
| | - Ronny Baber
- University of Leipzig, Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, Paul-List-Str. 13-15, 04013, Leipzig, Germany
- University of Leipzig, Leipzig Medical Biobank, Liebigstr. 27, 04103, Leipzig, Germany
| | - Anne Dathan-Stumpf
- University of Leipzig, Department of Women and Child Health, Liebigstr. 20a, 04103, Leipzig, Germany
| | - Uta Ceglarek
- University of Leipzig, Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, Paul-List-Str. 13-15, 04013, Leipzig, Germany
| | - Mandy Vogel
- University of Leipzig, LIFE Child Leipzig Research Center for Civilization Diseases, Philipp-Rosenthal-Str. 27, 04103, Leipzig, Germany
| |
Collapse
|
3
|
Xie J, Han Y, Peng L, Zhang J, Gong X, Du Y, Ren X, Zhou L, Li Y, Zeng P, Shao J. BMI growth trajectory from birth to 5 years and its sex-specific association with prepregnant BMI and gestational weight gain. Front Nutr 2023; 10:1101158. [PMID: 36866049 PMCID: PMC9971005 DOI: 10.3389/fnut.2023.1101158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 01/18/2023] [Indexed: 02/16/2023] Open
Abstract
Objective The purpose of the study was to identify the latent body mass index (BMI) z-score trajectories of children from birth to 5 years of age and evaluate their sex-specific association with prepregnant BMI and gestational weight gain (GWG). Methods This was a retrospective longitudinal cohort study performed in China. In total, three distinct BMI-z trajectories from birth to 5 years of age were determined for both genders using the latent class growth modeling. The logistic regression model was used to assess the associations of maternal prepregnant BMI and GWG with childhood BMI-z growth trajectories. Results Excessive GWG increased the risks of children falling into high-BMI-z trajectory relative to adequate GWG (OR = 2.04, 95% CI: 1.29, 3.20) in boys; girls born to mothers with prepregnancy underweight had a higher risk of low-BMI-z trajectory than girls born to mothers with prepregnancy adequate weight (OR = 1.85, 95% CI: 1.22, 2.79). Conclusion BMI-z growth trajectories of children from 0 to 5 years of age have population heterogeneity. Prepregnant BMI and GWG are associated with child BMI-z trajectories. It is necessary to monitor weight status before and during pregnancy to promote maternal and child health.
Collapse
Affiliation(s)
- Jinting Xie
- School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China,Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, China,Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Yan Han
- School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China,Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, China,Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Lei Peng
- Xuzhou Maternal and Child Health Family Planning Service Center, Xuzhou, Jiangsu, China
| | - Jingjing Zhang
- School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Xiangjun Gong
- Xuzhou Maternal and Child Health Family Planning Service Center, Xuzhou, Jiangsu, China
| | - Yan Du
- School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Xiangmei Ren
- School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China,Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, China,Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Li Zhou
- School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China,Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, China,Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Yuanhong Li
- School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China,Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, China,Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Ping Zeng
- School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China,Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, China,Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Jihong Shao
- School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China,Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, China,Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, Jiangsu, China,*Correspondence: Jihong Shao,
| |
Collapse
|
4
|
Parvin P, Masihay-Akbar H, Cheraghi L, Razmjouei S, Shab-khaneh AZ, Azizi F, Amiri P. Effectiveness of a practical multi-setting lifestyle intervention on the main BMI trajectories from childhood to young adulthood: A community-based trial. BMC Public Health 2022; 22:1995. [PMCID: PMC9624045 DOI: 10.1186/s12889-022-14306-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 09/13/2022] [Accepted: 10/04/2022] [Indexed: 11/10/2022] Open
Abstract
Background Preventing overweight in childhood and subsequent stages of life is still a global challenge. Despite numerous relevant lifestyle interventions, data on their impact on different BMI change pathways over time is rare. The present study aimed to investigate the effect of a multi-setting lifestyle intervention on BMI trajectories from childhood to young adulthood. Methods A multi-setting lifestyle intervention at the school, family, and community levels have been conducted in the Tehran Lipid and Glucose Study framework. A total of 2145 children (4–18 years, 49% boys, and 18% intervention) were recruited for the baseline assessment and were followed through five follow-up examinations during a median of 16.1 years. Using a group-based trajectory model, BMI trajectories from childhood to young adulthood were identified, and their association with the implemented intervention was assessed. Results Four trajectory groups of BMI from childhood to young adulthood were identified, including Normal weight (41%), Young adulthood overweight (36%), Early childhood increasing overweight and adulthood obesity (19%), and Early childhood increasing obesity (4%). Only Young adulthood overweight and Early childhood increasing obesity were affected by the intervention and were concomitant with lower BMI levels than the control group, with the highest estimated effect in the latter (β=-0.52 and p = 0.018; β=-1.48 and p < 0.001, respectively). Conclusion The current findings indicate the highest effectiveness of a practical, healthy lifestyle intervention on those whose obesity started in the early years of life or youth. Our results could help policymakers and planners design more targeted lifestyle modification and weight control interventions. Trial registration This study is registered at Iran Registry for Clinical Trials, a WHO primary registry (http://irct.ir). The Iran Registry for Clinical Trials ID and date are IRCTID:IRCT138705301058N1, 29/10/2008. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-022-14306-2.
Collapse
Affiliation(s)
- Parnian Parvin
- grid.411600.2Research Center for Social Determinants of Health, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hasti Masihay-Akbar
- grid.411600.2Research Center for Social Determinants of Health, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Leila Cheraghi
- grid.411600.2Research Center for Social Determinants of Health, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran ,grid.411600.2Department of Epidemiology and Biostatistics, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Soha Razmjouei
- grid.411600.2Research Center for Social Determinants of Health, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Amirali Zareie Shab-khaneh
- grid.411600.2Research Center for Social Determinants of Health, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- grid.411600.2Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Parisa Amiri
- grid.411600.2Research Center for Social Determinants of Health, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| |
Collapse
|
5
|
Guseman EH, Sisson SB, Whipps J, Howe CA, Byra MM, Silver LE. Neighborhood and Family Characteristics Associated with Adiposity and Physical Activity Engagement among Preschoolers in a Small Rural Community. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:13964. [PMID: 36360842 PMCID: PMC9655161 DOI: 10.3390/ijerph192113964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 10/17/2022] [Accepted: 10/23/2022] [Indexed: 06/16/2023]
Abstract
UNLABELLED The purpose of this study was to evaluate family and home/neighborhood characteristics associated with physical activity (PA) and adiposity among young children living in a small rural community. METHODS Participants were 30 parents and their youngest child aged 2-5 years. Children wore accelerometers for 7 days. Parents completed questionnaires about family lifestyle behaviors, parenting practices, and home/neighborhood characteristics. RESULTS None of the family lifestyle behaviors were associated with child BMI percentile. Backyard size was inversely associated with moderate to vigorous physical activity on weekday afternoons (rho = -0.488, p = 0.006), as was perception of neighborhood dangers (rho = -0.388, p = 0.034). Perceived neighborhood safety (rho = 0.453, p = 0.012), the presence of sidewalks (rho = 0.499, p = 0.012), and public playground use (rho = 0.406, p = 0.026) were each associated with higher weekday afternoon MVPA. CONCLUSIONS Findings suggest neighborhood safety, sidewalks, and use of public playgrounds are positively associated with MVPA among preschoolers, while backyard size and access to play equipment at home are not. These findings have implications for rural communities where space is plentiful but access to community space and sidewalks may be limited.
Collapse
Affiliation(s)
- Emily Hill Guseman
- Diabetes Institute, Ohio University, Athens, OH 45701, USA
- Department of Primary Care, Ohio University Heritage College of Osteopathic Medicine, Athens, OH 45701, USA
| | - Susan B. Sisson
- Department of Nutritional Sciences, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
| | - Jonathon Whipps
- Department of Natural and Social Sciences, Bowling Green State University Firelands, Huron, OH 44839, USA
| | - Cheryl A. Howe
- School of Applied Health Sciences and Wellness, Ohio University, Athens, OH 45701, USA
| | - Madelyn M. Byra
- Child Health and Exercise Medicine Program, McMaster University, Hamilton, ON L8S 4L8, Canada
| | - Lucie E. Silver
- Healthy Weight Center, Helen DeVos Children’s Hospital, Grand Rapids, MI 49503, USA
| |
Collapse
|
6
|
Payne E, Garden F, d'Udekem Y, McCallum Z, Wightman H, Zannino D, Zentner D, Cordina R, Weintraub R, Wilson TG, Ayer J. Body Mass Index Trajectory and Outcome Post Fontan Procedure. J Am Heart Assoc 2022; 11:e025931. [PMID: 36073652 DOI: 10.1161/jaha.122.025931] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background Patients with a single ventricle who experience early life growth failure suffer high morbidity and mortality in the perisurgical period. However, long-term implications of poor infant growth, as well as associations between body mass index (BMI) and outcome in adulthood, remain unclear. We aimed to model BMI trajectories of patients with a single ventricle undergoing a Fontan procedure to determine trajectory-based differences in baseline characteristics and long-term clinical outcomes. Methods and Results We performed a retrospective analysis of medical records from patients in the Australia and New Zealand Fontan Registry receiving treatment at the Royal Children's Hospital, The Children's Hospital at Westmead, Royal Melbourne Hospital, and Royal Prince Alfred Hospital from 1981 to 2018. BMI trajectories were modeled in 496 patients using latent class growth analysis from 0 to 6 months, 6 to 60 months, and 5 to 16 years. Trajectories were compared regarding long-term incidence of severe Fontan failure (defined as mortality, heart transplantation, Fontan takedown, or New York Heart Association class III/IV heart failure). Three trajectories were found for male and female subjects at each age group-lower, middle, higher. Subjects in the lower trajectory at 0 to 6 months were more likely to have an atriopulmonary Fontan and experienced increased mortality long term. No association was found between higher BMI trajectory, current BMI, and long-term outcome. Conclusions Poor growth in early life correlates with increased long-term severe Fontan failure. Delineation of distinct BMI trajectories can be used in larger and older cohorts to find optimal BMI targets for patient outcome.
Collapse
Affiliation(s)
- Emma Payne
- The University of Sydney Sydney Australia.,The University of Melbourne Melbourne Australia
| | - Frances Garden
- The University of New South Wales Sydney Australia.,The Ingham Institute of Applied Medical Research Sydney Australia
| | | | - Zoe McCallum
- The University of Melbourne Melbourne Australia.,The Royal Children's Hospital Melbourne Australia
| | | | - Diana Zannino
- Murdoch Children's Research Institute Melbourne Australia
| | - Dominica Zentner
- The University of Melbourne Melbourne Australia.,Royal Melbourne Hospital Melbourne Australia
| | - Rachael Cordina
- The University of Sydney Sydney Australia.,The Royal Prince Alfred Hospital Sydney Australia
| | - Robert Weintraub
- The University of Melbourne Melbourne Australia.,The Royal Children's Hospital Melbourne Australia.,Murdoch Children's Research Institute Melbourne Australia
| | - Thomas G Wilson
- The University of Melbourne Melbourne Australia.,The Royal Children's Hospital Melbourne Australia
| | - Julian Ayer
- The University of Sydney Sydney Australia.,The Heart Centre for Children The Sydney Children's Hospital Network Sydney Australia
| |
Collapse
|
7
|
Bichteler A, Barton JM, Lumeng JC, Gershoff ET. Patterns of Childhood Body Mass Index Percentile Gains as Predictors of Adolescent Body Mass Index, Waist Circumference, and Blood Pressure. Acad Pediatr 2022; 22:769-776. [PMID: 34861461 PMCID: PMC9156720 DOI: 10.1016/j.acap.2021.11.015] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 11/20/2021] [Accepted: 11/24/2021] [Indexed: 12/21/2022]
Abstract
OBJECTIVE To examine whether patterns of body mass index (BMI) percentile gains across childhood predict BMI percentile, overweight and obesity, waist circumference, and elevated or prehypertensive blood pressure at age 15. METHODS Trained technicians in the Study of Early Child Care and Youth Development assessed children's weight and height from birth to 15 years and waist circumference and blood pressure at age 15 (n = 1132). Children's BMI percentile trajectories from age 2 to age 13 along with 28 demographic and social covariates were used to predict BMI percentile, waist circumference, overweight, obesity, and elevated or prehypertensive blood pressure. Linear and logistic regressions were used to predict BMI percentile, overweight, obesity, waist circumference, and elevated or prehypertensive blood pressure. RESULTS Children were classified into one"?>1 of 4four"?> BMI percentile trajectories: "low stable" (28.4%), "low-to-high" (11.8%), "median stable" (29.0%), and "high rising" (30.7%). Children in trajectory classes characterized by persistent above average BMI percentile or by periods of rapid BMI percentile gains were more likely than their peers to experience poor weight and elevated or prehypertensive outcomes in adolescence. Trajectory class membership explained substantially more variance in adolescent health outcomes than demographic covariates alone. Estimated maternal BMI was a key independent predictor of adolescent outcomes. CONCLUSIONS Different patterns of BMI percentile gains, namely those with rapid gains or persistently above average BMI percentile, from ages 2 to 13 predicted weight, waist circumference, and elevated or prehypertensive blood pressure at age 15, above and beyond demographic and social characteristics.
Collapse
Affiliation(s)
- Anne Bichteler
- Department of Human Development and Family Sciences, University of Texas at Austin, Austin, TX, USA
| | - Jennifer M. Barton
- Family Resiliency Center, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Julie C. Lumeng
- Department of Pediatrics, University of Michigan Medical School, Ann Arbor, MI, USA,Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Elizabeth T. Gershoff
- Department of Human Development and Family Sciences, University of Texas at Austin, Austin, TX, USA
| |
Collapse
|
8
|
Gonçalves R, Wiertsema CJ, Silva CCV, Monasso GS, Gaillard R, Steegers EAP, Santos S, Jaddoe VWV. Associations of Fetal and Infant Growth Patterns With Early Markers of Arterial Health in School-Aged Children. JAMA Netw Open 2022; 5:e2219225. [PMID: 35767260 PMCID: PMC9244605 DOI: 10.1001/jamanetworkopen.2022.19225] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
IMPORTANCE Fetal life and infancy might be critical periods for predisposing individuals to develop cardiovascular disease in adulthood. OBJECTIVE To examine the associations of fetal and infant weight growth patterns with early markers of arterial health. DESIGN, SETTING, AND PARTICIPANTS This population-based prospective cohort study was conducted from early fetal life onward among 4484 offspring of women in Rotterdam, the Netherlands, delivering between April 1, 2002, and January 31, 2006. Statistical analysis was performed between January 1 and August 31, 2021. EXPOSURES Estimated fetal weight was measured in the second and third trimester. Data on weight and gestational age at birth were collected from midwives. Infant weight was measured at 6, 12, and 24 months. MAIN OUTCOMES AND MEASURES The common carotid intima-media thickness (cIMT) and carotid distensibility were measured as early markers of arterial health. RESULTS Follow-up measurements were available for 4484 children (2260 girls [50.4%]; median age, 9.7 years [95% range, 9.3-10.5 years]; and 2578 [57.5%] of Dutch ethnicity). Gestational age at birth was not associated with markers of arterial health. A 500-g-higher birth weight was associated with increased cIMT (standard deviation score [SDS], 0.08 mm [95% CI, 0.05-0.10 mm]) and a lower carotid distensibility (SDS, -0.05 × 10-3 kPa-1; [95% CI, -0.08 to -0.03 × 10-3 kPa-1]). Compared with children with a birth weight of 2500 to 4500 g, those weighing more than 4500 g had the lowest carotid distensibility (difference in SDS, -0.22 × 10-3 kPa-1 [95% CI, -0.42 to -0.02 × 10-3 kPa-1]). Conditional regression analyses showed that higher third-trimester fetal weight and birth weight were associated with increased cIMT (difference in SDS: third-trimester fetal weight, 0.08 mm [95% CI, 0.04-0.12 mm]; birth weight, 0.05 mm [95% CI, 0.01-0.09 mm]) and that higher weight at 6, 12, and 24 months was associated with increased cIMT (difference in SDS: 6 months, 0.05 mm [95% CI, 0.01-0.10 mm]; 12 months, 0.06 mm [95% CI, 0.02-0.10 mm]; and 24 months, 0.07 mm [95% CI, 0.03-0.11 mm]) and lower carotid distensibility (difference in SDS: 6 months, -0.04 × 10-3 kPa-1 [95% CI, -0.09 to -0.001 × 10-3 kPa-1]; 12 months, -0.05 × 10-3 kPa-1 [95% CI, -0.09 to -0.01 × 10-3 kPa-1]; and 24 months, -0.10 × 10-3 kPa-1 [95% CI, -0.15 to -0.06 × 10-3 kPa-1]). Compared with children with normal fetal and infant growth, children with normal fetal growth that was followed by accelerated infant growth had the highest cIMT (SDS, 0.19 mm [95% CI, 0.07-0.31 mm]) and lowest carotid distensibility (SDS, -0.16 × 10-3 kPa-1 [95% CI, -0.28 to -0.03 × 10-3 kPa-1]). The observed associations were largely explained by childhood body mass index. CONCLUSIONS AND RELEVANCE In this cohort study of 4484 children aged approximately 10 years, higher fetal and infant weight growth patterns were associated with early markers of impaired arterial health. Childhood body mass index seemed to be involved in the underlying pathways of the observed associations.
Collapse
Affiliation(s)
- Romy Gonçalves
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
- Department of Pediatrics, Sophia’s Children’s Hospital, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Clarissa J. Wiertsema
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
- Department of Pediatrics, Sophia’s Children’s Hospital, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Carolina C. V. Silva
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
- Department of Pediatrics, Sophia’s Children’s Hospital, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Giulietta S. Monasso
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
- Department of Pediatrics, Sophia’s Children’s Hospital, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Romy Gaillard
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
- Department of Pediatrics, Sophia’s Children’s Hospital, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Eric A. P. Steegers
- Department of Obstetrics and Gynaecology, Sophia’s Children’s Hospital, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Susana Santos
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
- Department of Pediatrics, Sophia’s Children’s Hospital, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Vincent W. V. Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
- Department of Pediatrics, Sophia’s Children’s Hospital, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| |
Collapse
|
9
|
Kupsco A, Wu H, Calafat AM, Kioumourtzoglou MA, Cantoral A, Tamayo-Ortiz M, Pantic I, Pizano-Zárate ML, Oken E, Braun JM, Deierlein AL, Wright RO, Téllez-Rojo MM, Baccarelli AA, Just AC. Prenatal maternal phthalate exposures and trajectories of childhood adiposity from four to twelve years. ENVIRONMENTAL RESEARCH 2022; 204:112111. [PMID: 34563522 PMCID: PMC8678304 DOI: 10.1016/j.envres.2021.112111] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 09/17/2021] [Accepted: 09/20/2021] [Indexed: 05/30/2023]
Abstract
BACKGROUND/AIM Adiposity trajectories reflect dynamic process of growth and may predict later life health better than individual measures. Prenatal phthalate exposures may program later childhood adiposity, but findings from studies examining these associations are conflicting. We investigated associations between phthalate biomarker concentrations during pregnancy with child adiposity trajectories. METHODS We followed 514 mother-child pairs from the Mexico City PROGRESS cohort from pregnancy through twelve years. We measured concentrations of nine phthalate biomarkers in 2nd and 3rd trimester maternal urine samples to create a pregnancy average using the geometric mean. We measured child BMI z-score, fat mass index (FMI), and waist-to-height ratio (WHtR) at three study visits between four and 12 years of age. We identified adiposity trajectories using multivariate latent class growth modeling, considering BMI z-score, FMI, and WHtR as joint indicators of latent adiposity. We estimated associations of phthalates biomarkers with class membership using multinomial logistic regression. We used quantile g-computation to estimate the potential effect of the total phthalate mixture and assessed effect modification by sex. RESULTS We identified three trajectories of child adiposity, a "low-stable", a "low-high", and a "high-high" group. A doubling of the sum of di (2-ethylhexyl) phthalate metabolites (ΣDEHP), was associated with 1.53 (1.08, 2.19) greater odds of being in the "high-high" trajectory in comparison to the "low-stable" group, whereas a doubling in di-isononyl phthalate metabolites (ΣDiNP) was associated with 1.43 (1.02, 2.02) greater odds of being in the "low-high" trajectory and mono (carboxy-isononyl) phthalate (MCNP) was associated with 0.66 (0.45, 97) lower odds of being in the "low-high" trajectory. No sex-specific associations or mixture associations were observed. CONCLUSIONS Prenatal concentrations of urinary DEHP metabolites, DiNP metabolites, and MCNP, a di-isodecyl phthalate metabolite, were associated with trajectories of child adiposity. The total phthalate mixture was not associated with early life child adiposity.
Collapse
Affiliation(s)
- Allison Kupsco
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University Medical Center, New York, NY, USA.
| | - Haotian Wu
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University Medical Center, New York, NY, USA
| | - Antonia M Calafat
- National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Marianthi-Anna Kioumourtzoglou
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University Medical Center, New York, NY, USA
| | | | - Marcela Tamayo-Ortiz
- Occupational Health Research Unit, Mexican Social Security Institute, Mexico City, Mexico
| | - Ivan Pantic
- National Institute of Perinatology, Mexico City, Mexico
| | | | - 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
| | - Joseph M Braun
- Department of Epidemiology, Brown University, Providence, RI, USA
| | - Andrea L Deierlein
- Department of Epidemiology, School of Global Public Health, New York University, New York, NY, USA
| | - Robert O Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Martha M Téllez-Rojo
- Center for Research on Nutrition and Health, National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University Medical Center, New York, NY, USA
| | - Allan C Just
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| |
Collapse
|
10
|
Hartono S, Cochrane T, Niyonsenga T, Kinfu Y. A longitudinal analysis of the effect of maternal region-of-birth on transitions in children's bodyweight status from early childhood to late adolescence in Australia: A population-based cohort study. Prev Med 2021; 153:106832. [PMID: 34624388 DOI: 10.1016/j.ypmed.2021.106832] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2021] [Revised: 09/11/2021] [Accepted: 10/03/2021] [Indexed: 01/05/2023]
Abstract
Although 49% of Australian residents have at least one overseas-born parent, little is known about children's longitudinal bodyweight transitions among the migrant population. This study examines the net associations between maternal region-of-birth and children's longitudinal bodyweight transitions between underweight, normal, and overweight/obese status from ages 2 to 17 years. A sample of 8889 children was drawn from seven waves of a national population-based cohort study, the Longitudinal Study of Australian Children, conducted between 2004 and 2016. A multistate approach was used to investigate (i) the net effect of mother's region-of-birth on children's bodyweight transitions, (ii) the net estimation of cumulative transition probabilities, and (ii) the net conditional bodyweight expectancy, controlling for child-, family-, and neighbourhood-factors associated with children's bodyweight. Our results showed children of Oceania and African mothers had unfavourable outcomes (i.e., lower remission from or higher incidence of underweight or overweight/obese status) than children of non-migrants. Toddlers with suboptimal bodyweight status (especially those from disadvantaged groups) had higher net cumulative probabilities of staying in that status as a 17-year-old adolescent unless they managed to transfer to normal weight in the primary school years. The 15-year bodyweight expectancy depended on the initial bodyweight status at age two years, with some children of migrant mothers affected longer by suboptimal bodyweight status. In Australia, region-of-birth related disparities in bodyweight started early and were of significant duration throughout development until late adolescence. Culturally tailored health programs should begin at least as early as two years of age.
Collapse
Affiliation(s)
- Susan Hartono
- Health Research Institute, University of Canberra, Bruce, ACT, Australia.
| | - Tom Cochrane
- Health Research Institute, University of Canberra, Bruce, ACT, Australia.
| | - Theo Niyonsenga
- Health Research Institute, University of Canberra, Bruce, ACT, Australia; Faculty of Health, University of Canberra, Bruce, ACT, Australia.
| | - Yohannes Kinfu
- Faculty of Health, University of Canberra, Bruce, ACT, Australia; College of Medicine, Qatar University, Doha, Qatar; Department of Health Metrics, University of Washington, Seattle, USA; Murdoch Children's Research Institute, Melbourne, Australia.
| |
Collapse
|
11
|
Wang J, Wu Y, Du B, Li Z, Ye Y, Wang H, Niu Y, Chen Q, Zhang J, Chen S, Wu Y, Zhang X, Lu Y, Sun K. Growth patterns in early childhood and cardiovascular structure and function at 4 years old: A prospective cohort study. Nutr Metab Cardiovasc Dis 2021; 31:3492-3501. [PMID: 34625356 DOI: 10.1016/j.numecd.2021.08.028] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 07/31/2021] [Accepted: 08/06/2021] [Indexed: 01/10/2023]
Abstract
BACKGROUND AND AIMS Childhood overweight and obesity are lifetime risk factors for cardiovascular disease but the relationship between dynamic body mass index (BMI) change and cardiovascular structure and function in early childhood remains unclear. METHODS AND RESULTS This cohort study consisted 525 participants with 6 distinct representative growth patterns to examine the associations between BMI growth patterns and subsequent cardiovascular structure and function at age 4. BMIs were obtained at birth, 2 and 4 years old. Cardiovascular assessments were performed, including blood pressure (BP), cardiac geometric parameters, left ventricular (LV) function, speckle-tracking, integrated backscatter analysis and carotid intima-media thickness. Compared to the stable normal BMI pattern, children with the stable overweight (OW) pattern had significantly greater LV anatomic parameters in fully adjusted models. Children with the catch-up (CU) pattern revealed a uniform trend and had poorer strain. LV diameters and integrated backscatter signals were larger for those with BMI gain and lose pattern. Children with BMI lose pattern showed improved tendency involving LV mass index and BP. Both OW and CU patterns were associated with high systolic BP [odds ratio (95% CI): OW: 3.67 (1.08, 12.47); CU: 4.24 (1.75, 10.28)]. Compared to static BMI measurements at birth, 2 and 4 years old, dynamic BMI growth patterns were more predictive of cardiovascular structure and function at 4. CONCLUSIONS Children with overweight-related BMI growth patterns in early childhood experienced undesirable cardiovascular functional or structural changes as early as 4 years old, indicating that early intervention is needed and potentially beneficial.
Collapse
Affiliation(s)
- Jian Wang
- Department of Pediatric Cardiology, Shanghai Jiao Tong University School of Medicine, Xinhua Hospital, 1655 Kongjiang Rd, 200092 Shanghai, China
| | - Yujian Wu
- Department of Pediatric Cardiology, Shanghai Jiao Tong University School of Medicine, Xinhua Hospital, 1655 Kongjiang Rd, 200092 Shanghai, China
| | - Bowen Du
- Department of Pediatric Cardiology, Shanghai Jiao Tong University School of Medicine, Xinhua Hospital, 1655 Kongjiang Rd, 200092 Shanghai, China
| | - Zhuoyan Li
- Department of Pediatric Cardiology, Shanghai Jiao Tong University School of Medicine, Xinhua Hospital, 1655 Kongjiang Rd, 200092 Shanghai, China
| | - Yujiao Ye
- Children Heart Center, Sichuan Provincial Maternity and Child Health Care Hospital, 290 Shayan West Second Street, 610000 Chengdu, Sichuan Province, China
| | - Hualin Wang
- Department of Pediatric Cardiology, Shanghai Jiao Tong University School of Medicine, Xinhua Hospital, 1655 Kongjiang Rd, 200092 Shanghai, China
| | - Yiwei Niu
- Department of Pediatric Cardiology, Shanghai Jiao Tong University School of Medicine, Xinhua Hospital, 1655 Kongjiang Rd, 200092 Shanghai, China
| | - Qian Chen
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Shanghai Jiao Tong University School of Medicine, Xinhua Hospital, 1655 Kongjiang Rd, 200092 Shanghai, China
| | - Jun Zhang
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Shanghai Jiao Tong University School of Medicine, Xinhua Hospital, 1655 Kongjiang Rd, 200092 Shanghai, China
| | - Sun Chen
- Department of Pediatric Cardiology, Shanghai Jiao Tong University School of Medicine, Xinhua Hospital, 1655 Kongjiang Rd, 200092 Shanghai, China
| | - Yurong Wu
- Department of Pediatric Cardiology, Shanghai Jiao Tong University School of Medicine, Xinhua Hospital, 1655 Kongjiang Rd, 200092 Shanghai, China
| | - Xi Zhang
- Clinical Research Unit, Shanghai Jiao Tong University School of Medicine, Xinhua Hospital, 1655 Kongjiang Rd, 200092 Shanghai, China.
| | - Yanan Lu
- Department of Pediatric Cardiology, Shanghai Jiao Tong University School of Medicine, Xinhua Hospital, 1655 Kongjiang Rd, 200092 Shanghai, China.
| | - Kun Sun
- Department of Pediatric Cardiology, Shanghai Jiao Tong University School of Medicine, Xinhua Hospital, 1655 Kongjiang Rd, 200092 Shanghai, China.
| |
Collapse
|
12
|
van Schaik J, van Roessel IMAA, Schouten-van Meeteren NAYN, van Iersel L, Clement SC, Boot AM, Claahsen-van der Grinten HL, Fiocco M, Janssens GO, van Vuurden DG, Michiels EM, Han SKS, van Trotsenburg PASP, Vandertop PWP, Kremer LCM, van Santen HM. High Prevalence of Weight Gain in Childhood Brain Tumor Survivors and Its Association With Hypothalamic-Pituitary Dysfunction. J Clin Oncol 2021; 39:1264-1273. [PMID: 33621126 DOI: 10.1200/jco.20.01765] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
PURPOSE Childhood brain tumor survivors (CBTS) are at risk for developing obesity, which negatively influences cardiometabolic health. The prevalence of obesity in CBTS may have been overestimated in previous cohorts because of inclusion of children with craniopharyngioma. On the contrary, the degree of weight gain may have been underestimated because of exclusion of CBTS who experienced weight gain, but were neither overweight nor obese. Weight gain may be an indicator of underlying hypothalamic-pituitary (HP) dysfunction. We aimed to study prevalence of and risk factors for significant weight gain, overweight, or obesity, and its association with HP dysfunction in a national cohort of noncraniopharyngioma and nonpituitary CBTS. METHODS Prevalence of and risk factors for significant weight gain (body mass index [BMI] change ≥ +2.0 standard deviation score [SDS]), overweight, or obesity at follow-up, and its association with HP dysfunction were studied in a nationwide cohort of CBTS, diagnosed in a 10-year period (2002-2012), excluding all craniopharyngioma and pituitary tumors. RESULTS Of 661 CBTS, with a median age at follow-up of 7.3 years, 33.1% had significant weight gain, overweight, or obesity. Of the CBTS between 4 and 20 years of age, 28.7% were overweight or obese, compared with 13.2% of the general population between 4 and 20 years of age. BMI SDS at diagnosis, diagnosis of low-grade glioma, diabetes insipidus, and central precocious puberty were associated with weight gain, overweight, or obesity. The prevalence of HP dysfunction was higher in overweight and obese CTBS compared with normal-weight CBTS. CONCLUSION Overweight, obesity, and significant weight gain are prevalent in CBTS. An increase in BMI during follow-up may be a reflection of HP dysfunction, necessitating more intense endocrine surveillance.
Collapse
Affiliation(s)
- Jiska van Schaik
- Department of Pediatric Endocrinology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, the Netherlands.,Department of Pediatric Oncology, Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | - Ichelle M A A van Roessel
- Department of Pediatric Endocrinology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, the Netherlands
| | | | - Laura van Iersel
- Department of Pediatric Endocrinology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Sarah C Clement
- Department of Pediatrics, VU Amsterdam University Medical Centers, Amsterdam, the Netherlands
| | - Annemieke M Boot
- Department of Pediatric Endocrinology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | | | - Marta Fiocco
- Department of Pediatric Oncology, Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.,Institute of Mathematics, Leiden University, Leiden, the Netherlands
| | - Geert O Janssens
- Department of Pediatric Oncology, Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.,Department of Radiation Oncology, Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | - Dannis G van Vuurden
- Department of Pediatric Oncology, Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | - Erna M Michiels
- Department of Pediatric Oncology, Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | - Sen K S Han
- Department of Pediatric Oncology, Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.,Department of Neurosurgery, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Paul A S P van Trotsenburg
- Department of Pediatric Endocrinology, Emma Children's Hospital, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
| | - Peter W P Vandertop
- Neurosurgical Center Amsterdam, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
| | - Leontien C M Kremer
- Department of Pediatric Oncology, Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | - Hanneke M van Santen
- Department of Pediatric Endocrinology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, the Netherlands.,Department of Pediatric Oncology, Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
| |
Collapse
|
13
|
Norris T, Mansukoski L, Gilthorpe MS, Hamer M, Hardy R, Howe LD, Hughes AD, Li L, O'Donnell E, Ong KK, Ploubidis GB, Silverwood RJ, Viner RM, Johnson W. Distinct Body Mass Index Trajectories to Young-Adulthood Obesity and Their Different Cardiometabolic Consequences. Arterioscler Thromb Vasc Biol 2021; 41:1580-1593. [PMID: 33657884 DOI: 10.1161/atvbaha.120.315782] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
[Figure: see text].
Collapse
Affiliation(s)
- Tom Norris
- School of Sport, Exercise and Health Sciences, Loughborough University, United Kingdom (T.N., E.O., W.J.)
| | - Liina Mansukoski
- Centre for Global Child Health, The Hospital for Sick Children, Toronto, Canada (L.M.)
| | - Mark S Gilthorpe
- Leeds Institute for Data Analytics (M.S.G.), University of Leeds, United Kingdom.,Faculty of Medicine and Health (M.S.G.), University of Leeds, United Kingdom.,Alan Turing Institute, British Library, London, United Kingdom (M.S.G.)
| | - Mark Hamer
- Division of Surgery and Interventional Sciences, Faculty of Medical Sciences (M.H.), University College London, United Kingdom
| | - Rebecca Hardy
- CLOSER (Cohort and Longitudinal Studies Enhancement Resources), Department of Social Science (R.H.), University College London, United Kingdom
| | - Laura D Howe
- MRC (Medical Research Council) Integrative Epidemiology Unit at the University of Bristol, Department of Population Health Sciences, University of Bristol, United Kingdom (L.D.H.)
| | - Alun D Hughes
- Institute of Cardiovascular Science (A.D.H.), University College London, United Kingdom
| | - Leah Li
- Population, Policy and Practice Programme, Great Ormond Street Institute of Child Health (L.L., R.M.V.), University College London, United Kingdom
| | - Emma O'Donnell
- School of Sport, Exercise and Health Sciences, Loughborough University, United Kingdom (T.N., E.O., W.J.)
| | - Ken K Ong
- Department of Social Science, Centre for Longitudinal Studies (G.B.P., R.J.S.), University College London, United Kingdom.,MRC Epidemiology Unit and Department of Paediatrics, University of Cambridge, United Kingdom (K.K.O.)
| | | | - Richard J Silverwood
- Department of Social Science, Centre for Longitudinal Studies (G.B.P., R.J.S.), University College London, United Kingdom
| | - Russell M Viner
- Population, Policy and Practice Programme, Great Ormond Street Institute of Child Health (L.L., R.M.V.), University College London, United Kingdom
| | - William Johnson
- School of Sport, Exercise and Health Sciences, Loughborough University, United Kingdom (T.N., E.O., W.J.)
| |
Collapse
|
14
|
Lin Q, Jiang Y, Wang G, Sun W, Dong S, Deng Y, Meng M, Zhu Q, Mei H, Zhou Y, Zhang J, Clayton PE, Spruyt K, Jiang F. Combined effects of weight change trajectories and eating behaviors on childhood adiposity status: A birth cohort study. Appetite 2021; 162:105174. [PMID: 33636216 DOI: 10.1016/j.appet.2021.105174] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Revised: 02/14/2021] [Accepted: 02/15/2021] [Indexed: 01/06/2023]
Abstract
Previous studies have suggested that infant rapid weight change can be associated with an increased weight later in life. However, the weight change trajectory in early life over time and which childhood lifestyle behaviors may modify the risk of rapid weight change have not been characterized. Using our ongoing birth cohort study, we have addressed these issues. Nine follow-up time points (birth, 3, 6, 9, 12, 18, 24, 36, and 48 months) were used to calculate the change between two adjacent weight-for-age z-scores (WAZ-change), and then WAZ-change trajectories were defined via group-based trajectory modeling. The solitary, independent and combined effects of WAZ-change trajectories and each lifestyle factor (eating behaviors, physical activity, media exposure time and total sleep duration) on childhood adiposity measures at age 4 years were determined using multivariate regression analysis. Overall, 84 (38%) children had a steady growth trajectory from birth to 4 years, while the other 137 (62%) children had an early infancy rapid growth trajectory, particularly in the first three months. Compared to children with steady growth, children with early infancy rapid growth had a significantly higher body mass index, waist circumference, and subcutaneous fat. Moreover, weight change trajectory and three eating behaviors (i.e. food responsiveness, satiety responsiveness and food fussiness), not only had independent effects, but also combined (synergistic) effects on the majority of adiposity measures. Our results extend the current literature and provide a potentially valuable model to aid clinicians and health professionals in designing early-life interventions targeting specific populations, specific ages and specific lifestyle behaviors to prevent childhood overweight/obesity.
Collapse
Affiliation(s)
- Qingmin Lin
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Yanrui Jiang
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Guanghai Wang
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Wanqi Sun
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Shumei Dong
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Yujiao Deng
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Min Meng
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Qi Zhu
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Hao Mei
- Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Department of Data Science, School of Population Health, University of Mississippi Medical Center, Jackson, MS 39216, USA.
| | - Yingchun Zhou
- KLATASDS-MOE, School of Statistics, East China Normal University, Shanghai 200062, China.
| | - Jun Zhang
- MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China; School of Public Health, Shanghai Jiao Tong University, Shanghai 200025, China.
| | - Peter E Clayton
- Division of Developmental Biology and Medicine, Faculty of Biology, Medicine and Health, University of Manchester and Manchester Academic Health Science Centre, Manchester M13 9PL, United Kingdom.
| | - Karen Spruyt
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; INSERM, University Claude Bernard, School of Medicine, Lyon, France.
| | - Fan Jiang
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| |
Collapse
|
15
|
Li X, Keown-Stoneman CDG, Lebovic G, Maguire JL, Omand JA, Sievenpiper JL, Birken CS. Body Mass Index Mediates the Association between Growth Trajectories and Cardiometabolic Risk in Children. Child Obes 2021; 17:36-42. [PMID: 33252262 DOI: 10.1089/chi.2020.0143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Background: Few studies have published mediation analyses to quantify the role concurrent BMI plays in the relationship between growth and cardiometabolic risk (CMR) outcomes. Methods: We used data from a longitudinal cohort study conducted in children aged 0-60 months through The Applied Research Group for Kids (TARGet Kids!) in Canada. Four age and sex standardized BMI (zBMI) trajectories were identified using latent class mixed models. CMR were assessed using a CMR score. Concurrent zBMI was the zBMI measured on the same visit as CMR. Mediation analyses were performed comparing each trajectory with the reference trajectory. Results: One thousand one hundred sixty-five children were included. On average, compared with being in the stable low trajectory, being in the catch-up trajectory was associated with an increased CMR score of 0.42, 0.28 of which was mediated through concurrent zBMI [95% confidence interval (CI) 0.17 to 0.41, p = 0.001]; being in the stable high trajectory was associated with an increased CMR score of 0.23, 0.24 through concurrent zBMI (95% CI 0.18 to 0.31, p < 0.001). Similarly, being in the rapid accelerating trajectory was associated with an increased CMR score of 1.43, 1.18 of which was through concurrent zBMI (95% CI 0.89 to 1.50, p < 0.001). Conclusions: There was a strong evidence that the effect of BMI trajectories on CMR was indirect via concurrent BMI. It is important for researchers to choose the most appropriate analytic method based on the study hypothesis to understand the total or direct effect of growth patterns on cardiometabolic disease risk in children.
Collapse
Affiliation(s)
- Xuedi Li
- Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Charles D G Keown-Stoneman
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada.,Biostatistics Division, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Gerald Lebovic
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada.,Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Jonathon L Maguire
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada.,Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.,Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Department of Pediatrics, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Jessica A Omand
- Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - John L Sievenpiper
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Catherine S Birken
- Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.,Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | | |
Collapse
|
16
|
Blond K, Aarestrup J, Vistisen D, Bjerregaard LG, Jensen GB, Petersen J, Nordestgaard BG, Jørgensen ME, Jensen BW, Baker JL. Associations between body mass index trajectories in childhood and cardiovascular risk factors in adulthood. Atherosclerosis 2020; 314:10-17. [PMID: 33129081 DOI: 10.1016/j.atherosclerosis.2020.10.011] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 09/08/2020] [Accepted: 10/07/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND AND AIMS Children with a growth trajectory of overweight have higher levels of cardiovascular disease (CVD) risk factors than children with a normal-weight trajectory. However, less is known about how trajectories of body mass index (BMI) across the rest of the BMI spectrum relate to CVD risk factors and whether adult BMI affects these associations. Our aim was to examine associations between childhood BMI trajectories and adult CVD risk factors. METHODS We included 2466 individuals with childhood weights and heights (ages 6-14) from the Copenhagen School Health Records Register and adult CVD risk factors (ages 20-81) from the Copenhagen City Heart Study. Associations between childhood BMI trajectories identified by latent class modelling and CVD risk factors were examined using generalized linear regression analyses with and without adjustment for adult BMI. Normal-weight and overweight were defined by growth references from the Centers for Disease Control and Prevention. RESULTS We identified four childhood trajectories within the normal-weight spectrum and one trajectory of overweight. Compared to the trajectory with the lowest BMI level, several higher BMI trajectories were associated with worse circumference, HDL and glucose homeostasis in adulthood. The highest trajectory was additionally associated with higher total cholesterol and triglycerides. When adjusting for adult BMI, the higher BMI trajectories had lower waist circumference, blood pressure and triglycerides. CONCLUSIONS Trajectories of BMI within the normal-weight range and in the overweight range are associated with a worse CVD risk profile than in the lowest BMI trajectory, and these associations are modifiable by growth after childhood.
Collapse
Affiliation(s)
- Kim Blond
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark
| | - Julie Aarestrup
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark
| | | | - Lise G Bjerregaard
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark
| | - Gorm Boje Jensen
- The Copenhagen City Heart Study, Copenhagen University Hospital Frederiksberg, Copenhagen, Denmark; National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | - Janne Petersen
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark; Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Børge G Nordestgaard
- The Copenhagen City Heart Study, Copenhagen University Hospital Frederiksberg, Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Department of Clinical Biochemistry and the Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Marit E Jørgensen
- Steno Diabetes Center Copenhagen, Gentofte, Denmark; National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | - Britt Wang Jensen
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark
| | - Jennifer L Baker
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark; Novo Nordisk Foundation Center for Basic Metabolic Research, Human Genomics and Metagenomics in Metabolism, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
| |
Collapse
|
17
|
Li X, Keown-Stoneman CDG, Lebovic G, Omand JA, Adeli K, Hamilton JK, Hanley AJ, Mamdani M, McCrindle BW, Sievenpiper JL, Tremblay MS, Maguire JL, Parkin PC, Birken CS. The association between body mass index trajectories and cardiometabolic risk in young children. Pediatr Obes 2020; 15:e12633. [PMID: 32181602 DOI: 10.1111/ijpo.12633] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Accepted: 03/04/2020] [Indexed: 12/21/2022]
Abstract
BACKGROUND Rapid growth is associated with increased cardiometabolic risk (CMR) in adolescence and adulthood. Little is known about whether the association between rapid growth and increased CMR originates in early childhood. OBJECTIVES To identify age and sex standardized body mass index (zBMI) trajectories and to examine the association between zBMI trajectories and CMR outcomes in children 0 to 60 months. STUDY DESIGN A longitudinal cohort study was conducted through The Applied Research Group for Kids (TARGet Kids!) in Toronto, Canada. Participants had repeated measures of weight and length or height performed from birth to 60 months of age. Latent class mixed modelling was used to identify the zBMI trajectories. Linear regressions were performed to determine the association between zBMI trajectories and the primary outcome, a CMR score, quantified as the sum of age- and sex- standardized waist circumference, systolic blood pressure, glucose, log-triglycerides and negative high-density lipoprotein cholesterol (HDL-C), divided by √5. Secondary outcomes were the individual components of the CMR formula as well as diastolic blood pressure and non-HDL-C. RESULTS Four BMI trajectories were identified among the 1166 children. After adjusting for all covariates, children in the rapidly accelerating trajectory had increased total CMR score (β = 1.38, 95% CI 0.77; 1.99, P < .001) and increased waist circumference score (β = 2.39, 95% CI 1.92; 2.86, P < .001) compared to the stable low group. CONCLUSIONS Rapid growth during early childhood is associated with increased CMR in preschool children, largely driven by larger waist circumference.
Collapse
Affiliation(s)
- Xuedi Li
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Charles D G Keown-Stoneman
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Gerald Lebovic
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada.,Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Jessica A Omand
- Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Khosrow Adeli
- Clinical Biochemistry, The Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Biochemistry and Laboratory Medicine & Pathology, University of Toronto, Toronto, Ontario, Canada
| | - Jill K Hamilton
- Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Division of Endocrinology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Anthony J Hanley
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Muhammad Mamdani
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.,Keenan Research Centre of the Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada.,Li Ka Shing Centre for Healthcare Analytics Research and Training, St. Michael's Hospital, Toronto, Ontario, Canada.,Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada
| | - Brian W McCrindle
- Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Preventative Cardiology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - John L Sievenpiper
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Mark S Tremblay
- Department of Pediatrics, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada.,Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - Jonathon L Maguire
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada.,Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.,Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Department of Pediatrics, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Patricia C Parkin
- Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, Ontario, Canada.,Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.,Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Catherine S Birken
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, Ontario, Canada.,Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.,Department of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | | |
Collapse
|
18
|
Arisaka O, Ichikawa G, Koyama S, Sairenchi T. Early increase in body mass index and cardiometabolic risk in adolescence. J Pediatr 2019; 214:243. [PMID: 31377042 DOI: 10.1016/j.jpeds.2019.07.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2019] [Accepted: 07/01/2019] [Indexed: 01/09/2023]
Affiliation(s)
- Osamu Arisaka
- Department of Pediatrics, Nasu Red Cross Hospital, Ohtawara, Tochigi-ken, Japan
| | - Go Ichikawa
- Department of Pediatrics, Nasu Red Cross Hospital, Ohtawara, Tochigi-ken, Japan
| | - Satomi Koyama
- Department of Pediatrics, Dokkyo Medical University School of Medicine, Mibu, Tochigi-ken, Japan
| | - Toshimi Sairenchi
- Department of Public Health, Dokkyo Medical University School of Medicine, Mibu, Tochigi-ken, Japan
| |
Collapse
|
19
|
Kain J, Leyton B, Baur L, Lira M, Corvalán C. Demographic, Social and Health-Related Variables that Predict Normal-Weight Preschool Children Having Overweight or Obesity When Entering Primary Education in Chile. Nutrients 2019; 11:nu11061277. [PMID: 31195698 PMCID: PMC6627860 DOI: 10.3390/nu11061277] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Revised: 05/31/2019] [Accepted: 05/31/2019] [Indexed: 11/16/2022] Open
Abstract
We determined which variables are predictive of normal-weight (N) Chilean 4-year-olds developing overweight/obesity when entering primary school. This study used national data of preschoolers (PK, age 4) in 2011 through 2015, and the same children in the first grade (1st G, age 6) in 2013 through 2017. We formed longitudinal cohorts considering PK as the baseline and 1st G as the follow-up and included anthropometric, socio-demographic, and health variables in PK and anthropometry in the 1st G. We report the percentage N who remained N at follow-up (N-N) or gained excessive weight (N-OW) and (N-OB), by sex. We ran univariate logistic regressions to determine for each variable, its association with gaining excessive weight (N-OW + OB), incorporating significant variables (p < 0.001) in multivariate logistic regression. A total of 483,509 (251,150 girls) of PK had anthropometry in the 1st G. In PK, 22% of the children were obese; in the 1st G (24.8% and 19.7% in boys and girls, respectively). Of normal-weight children, 30% developed OW + OB. The predictive variables were: Being born macrosomic, attending a very vulnerable school, being indigenous, the mother’s low schooling, and the child being cared for by the grandmother after school. In this study, the factors predicting that normal-weight preschoolers gain excessive weight gain in a short period of time are mostly related to poverty. Prevention should focus on this population.
Collapse
Affiliation(s)
- Juliana Kain
- Instituto de Nutrición y Tecnología de los Alimentos (INTA), Universidad de Chile, El Líbano 5524, Macul, Santiago, Chile.
| | - Bárbara Leyton
- Instituto de Nutrición y Tecnología de los Alimentos (INTA), Universidad de Chile, El Líbano 5524, Macul, Santiago, Chile.
| | - Louise Baur
- Sydney Medical School, University of Sydney, Sydney NSW 2006, Australia.
| | - Mariana Lira
- Junta Nacional de Auxilio Escolar y Becas (JUNAEB), Antonio Varas 153 Santiago, Chile.
| | - Camila Corvalán
- Instituto de Nutrición y Tecnología de los Alimentos (INTA), Universidad de Chile, El Líbano 5524, Macul, Santiago, Chile.
| |
Collapse
|