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Yu J, Huang F, Zhang X, Xue H, Ni X, Yang J, Zou Z, Du W. Association of Sugar-Sweetened Beverage Consumption and Moderate-to-Vigorous Physical Activity with Childhood and Adolescent Overweight/Obesity: Findings from a Surveillance Project in Jiangsu Province of China. Nutrients 2023; 15:4164. [PMID: 37836448 PMCID: PMC10574764 DOI: 10.3390/nu15194164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 09/23/2023] [Accepted: 09/25/2023] [Indexed: 10/15/2023] Open
Abstract
Sugar-sweetened beverage (SSB) consumption and inadequate moderate-to-vigorous physical activity (MVPA) have been suggested as potential contributors to overweight/obesity during childhood or adolescence; however, the results of previous studies are inconsistent. It was crucial to estimate the independent and joint association of SSB consumption and inadequate MVPA for childhood and adolescent overweight/obesity. The "Surveillance for Common Disease and Health Risk Factors Among Students in Jiangsu Province 2021-2022" initiative provided us with representative population-based data that we studied. SSB consumption and inadequate MVPA were determined by self-reported SSB habit and MVPA frequency (days/week). The body mass index for each gender and age subgroup was used to identify those who were overweight or obese. With stratified analyses to ascertain differences in age or gender, we employed the logistic regression model to assess the association of SSB and MVPA with overweight/obesity and applied the likelihood ratio test to explore the interactions. Approximately 38.2% of the study population (119,467 students aged 8-17) were overweight/obese. After adjusting covariates, SSB consumption or inadequate MVPA was associated with overweight/obesity (OR = 1.05, 95% CI = 1.02-1.07; and OR = 1.07, 95% CI = 1.03-1.10). In comparison to students with "no SSB consumption and adequate MVPA", those with "SSB consumption and inadequate MVPA" had a higher risk of being overweight/obese (OR = 1.13, 95% CI = 1.08-1.18). Regardless of age and gender subgroups, the correlation of SSB and MVPA alone and together with being overweight/obese was generally similar, with the adolescent group aged 13-17 years (OR = 1.15, 95% CI = 1.09-1.22) and females (OR = 1.09, 95% CI = 1.02-1.17) being more susceptible. Moreover, there was a significant interaction between SSB consumption and gender (p < 0.001), as well as between SSB consumption and inadequate MVPA (p = 0.008). Hence, SSB consumption in students is significantly associated with overweight/obesity, especially when MVPA is inadequate. In light of the rapidly expanding childhood and adolescent obesity epidemic, proper attention should be given to these modifiable behaviors, particularly SSB and MVPA.
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Affiliation(s)
- Jinxia Yu
- School of Public Health, Southeast University, Nanjing 210009, China; (J.Y.); (H.X.); (X.N.)
| | - Feng Huang
- Fujian Provincial Center for Disease Control and Prevention, Fuzhou 350001, China;
| | - Xiyan Zhang
- Department of Child and Adolescent Health Promotion, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China;
| | - Hui Xue
- School of Public Health, Southeast University, Nanjing 210009, China; (J.Y.); (H.X.); (X.N.)
| | - Xiaoyan Ni
- School of Public Health, Southeast University, Nanjing 210009, China; (J.Y.); (H.X.); (X.N.)
| | - Jie Yang
- Department of Child and Adolescent Health Promotion, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China;
| | - Zhiyong Zou
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
| | - Wei Du
- School of Public Health, Southeast University, Nanjing 210009, China; (J.Y.); (H.X.); (X.N.)
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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.
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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,
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Yoshinaga M, Takahashi H, Ito Y, Aoki M, Miyazaki A, Kubo T, Shinomiya M, Horigome H, Tokuda M, Lin L, Ogata H, Nagashima M. Developmental trajectories at a high risk for childhood overweight/obesity. Pediatr Int 2023; 65:e15425. [PMID: 36416571 DOI: 10.1111/ped.15425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 08/24/2022] [Accepted: 10/12/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND The associations between developmental patterns (trajectories) in children and maternal factors have been widely investigated, but paternal effects on these trajectories are unclear. This study aimed to determine child and parental factors involved in developmental trajectories at high risk for causing adverse cardiovascular (CV) profiles in children. METHODS We analyzed longitudinal anthropometric data from birth to the present and CV profiles of 1,832 healthy volunteers (51% girls) aged 3-15 years who participated in a nationwide study between July 2012 and January 2014. Six trajectory latent class growth models were developed using body mass index z- scores. Predictors for being in developmental trajectories at high risk for causing adverse CV profiles were determined by multivariate regression analysis. RESULTS The mean±standard deviation number of anthropometric data points was 12±3 for both boys and girls. Among the six trajectories, the infantile onset and continual increase groups had significantly worse levels of many CV profiles than those in the remaining groups. Paternal overweight/obesity was an independent predictor for boys being in the infantile onset group and for girls being in the continual increase group. Additionally, maternal pre-pregnancy overweight/obesity in boys and maternal excessive gestational weight gain in girls were independent predictors for being in the infantile onset group. Having no sibling in boys and an older maternal age were independent predictors for being in the continual increase group. CONCLUSIONS Interventions to prevent childhood obesity should include strategies that focus on fathers and mothers as well as those that focus on children with certain types of familial background.
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Affiliation(s)
- Masao Yoshinaga
- Department of Pediatrics, National Hospital Organization Kagoshima Medical Center, Kagoshima, Japan.,Orange Medical and Welfare Center for Severe Motor and Intellectual Disabilities, Kirishima, Japan
| | | | - Yoshiya Ito
- Clinical Medicine Area, Japanese Red Cross Hokkaido College of Nursing, Kitami, Japan
| | - Machiko Aoki
- Department of Pediatrics, Aoki Internal Medicine and Cardiovascular and Pediatrics Clinic, Fukuoka, Japan
| | - Ayumi Miyazaki
- Department of Pediatrics, Japan Community Health Care Organization Takaoka Fushiki Hospital, Takaoka, Japan
| | - Toshihide Kubo
- Department of Pediatrics, National Hospital Organization Okayama Medical Center, Okayama, Japan
| | - Masaki Shinomiya
- Department of Internal Medicine, Nishifuna Naika, Funabashi, Japan
| | - Hitoshi Horigome
- Department of Child Health, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Japan
| | | | - Lisheng Lin
- Department of Child Health, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Japan
| | - Hiromitsu Ogata
- Epidemiology and Biostatistics, Kagawa Nutrition University, Sakado, Japan
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