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Tang F, Zhou M, Li B. Regional and urban‒rural differences in childhood growth trajectories and the role of family in China. Sci Rep 2024; 14:31938. [PMID: 39738717 PMCID: PMC11685547 DOI: 10.1038/s41598-024-83459-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 12/16/2024] [Indexed: 01/02/2025] Open
Abstract
Children in urban and eastern regions tend to be taller and have higher body mass index (BMI) compared to those in rural and central-western regions, partially due to better family resources. We examined urban‒rural areas, regional differences in growth trajectories, focusing on family influences. Longitudinal data on 8542 children from the China Health and Nutrition Survey (1991-2015) were used. Random effects models assessed the mean height/BMI growth trajectories across different regions, urban-rural areas, and sexes within cohorts born in 1980-1989, 1990-1999, and 2000-2009. In the 1980-1989 cohort, before adjusting for family dietary structure, children from eastern regions were on average 3.3 cm taller than those from central-western regions at age 6. After adjustment, the height difference decreased to 2.44 cm. In the 2000-2009 cohort, the urban-rural BMI difference at age 6 was initially 0.53 kg/m2, which narrowed to 0.40 kg/m2 after adjusting for family socioeconomic factors. After adjusting for family environmental sanitation, the regional difference in the 2000-2009 cohort was attenuated by half before adjustment and was 0.44 kg/m2 after adjustment. Family factors significantly account for the regional and urban-rural disparities in height and BMI. These disparities were driven by the family resource environment, like dietary structure and sanitation. However, with China's socioeconomic changes, broader socioeconomic factors, including household income and parental education, have become more influential.
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Affiliation(s)
- Fang Tang
- College of Systems Engineering, National University of Defense Technology, Changsha, China.
| | - Minghe Zhou
- The Second Xiangya Hospital, Central South University, Changsha, China
| | - Bo Li
- College of Systems Engineering, National University of Defense Technology, Changsha, China.
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Gao M, Wells JC, Johnson W, Li L. Socio-economic disparities in child-to-adolescent growth trajectories in China: Findings from the China Health and Nutrition Survey 1991–2015. THE LANCET REGIONAL HEALTH - WESTERN PACIFIC 2022; 21:100399. [PMID: 35540561 PMCID: PMC9079352 DOI: 10.1016/j.lanwpc.2022.100399] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Backgrounds Socio-economic disparities in growth trajectories of children from low-/middle-income countries are poorly understood, especially those experiencing rapid economic growth. We investigated socio-economic disparities in child growth in recent decades in China. Methods Using longitudinal data on 5095 children/adolescents (7–18 years) from the China Health and Nutrition Survey (1991–2015), we estimated mean height and BMI trajectories by socio-economic position (SEP) and sex for cohorts born in 1981–85, 1986–90, 1991–95, 1996–2000, using random-effects models. We estimated differences between high (urbanization index ≥median, household income per capita ≥median, parental education ≥high school, or occupational classes I–IV) and low SEP groups. Findings Mean height and BMI trajectories have shifted upwards across cohorts. In all cohorts, growth trajectories for high SEP groups were above those for low SEP groups across SEP indicators. For height, socio-economic differences persisted across cohorts (e.g. 3.8cm and 2.9cm in earliest and latest cohorts by urbanization index for boys at 10 year, and 3.6cm and 3.1cm respectively by household income). For BMI, trends were greater in high than low SEP groups, thus socio-economic differences increased across cohorts (e.g. 0.5 to 0.8kg/m2 by urbanization index, 0.4 to 1.1kg/m2 by household income for boys at 10 year). Similar trends were found for stunting and overweight/obesity by SEP. There was no association between SEP indicators and thinness. Interpretation Socio-economic disparities in physical growth persist among Chinese youth. Short stature was associated with lower SEP, but high BMI with higher SEP. Public health interventions should be tailored by SEP, in order to improve children's growth while reducing overweight/obesity. Funding MG is supported by UCL Overseas Research Scholarship and China Scholarship Council for her PhD study. WJ is supported by a UK Medical Research Council (MRC) New Investigator Research Grant (MR/P023347/1) and acknowledges support from the National Institute for Health Research (NIHR) Leicester Biomedical Research Centre, which is a partnership between University Hospitals of Leicester NHS Trust, Loughborough University, and the University of Leicester.
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Zhang Y, Pan C, Ren Y, Wang Z, Luo J, Ding G, Vinturache A, Wang X, Shi R, Ouyang F, Zhang J, Li J, Gao Y, Tian Y. Association of maternal exposure to perfluoroalkyl and polyfluroalkyl substances with infant growth from birth to 12 months: A prospective cohort study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 806:151303. [PMID: 34749968 DOI: 10.1016/j.scitotenv.2021.151303] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 09/22/2021] [Accepted: 10/24/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Although maternal perfluoroalkyl and polyfluroalkyl substances (PFASs) were associated with adverse birth outcomes, much less is known about their impact on infant growth during early infancy. OBJECTIVES We investigated the association between maternal PFASs exposure and infant growth during the first 12 months of life. METHODS Participating 2395 pregnancies were recruited from Shanghai Birth Cohort between 2013 and 2016. Ten PFASs were quantified from maternal plasma collected during early pregnancy (median, 15 gestational weeks). We measured infant length, weight, and head circumference at birth, 42 days, 6 months, and 12 months. Linear mixed regression model was used to estimate the associations between PFAS concentrations and repeated measurements of infant growth. Effect modification by infant sex was estimated. RESULTS Elevated perfluoroheptanoic acid (PFHpA) concentration was negatively associated with infant length-for-age Z score (LAZ) (β = -0.06, 95% confidence interval (CI): -0.11, -0.01) during the first year. Adverse associations were also observed for perfluorobutane sulfonate (PFBS) and weight-for-length Z score (WFL) (β = -0.02, 95% CI: -0.04, -0.00) and BMI-for-age Z score (BAZ) (β = -0.02, 95% CI: -0.04, -0.00). However, perfluorododecanoic acid (PFDoA) was positively associated with WFL (β = 0.03, 95% CI: 0.00, 0.06) and BAZ (β = 0.03, 95% CI: 0.00, 0.06). The adverse association of PFHpA and LAZ was more pronounced among males (β = -0.06; 95% CI: -0.11, -0.00) than females (β = 0.06; 95% CI: 0.01, 0.12). CONCLUSIONS In our study, negative associations were found for maternal PFHpA exposure and infant LAZ, PFBS and WFL and BAZ. Meanwhile, maternal PFDoA exposure was positively related with WFL and BAZ. The adverse association of maternal PFHpA exposure and infant LAZ was more pronounced among males. The results should be interpreted with caution, further prospective cohort studies with longitudinal and detailed measures are warranted to confirm these findings.
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Affiliation(s)
- Yan Zhang
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China
| | - Chengyu Pan
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China
| | - Yunjie Ren
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China
| | - Zixia Wang
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China
| | - Jiajun Luo
- Department of Environmental Health Sciences, Yale School of Public Health, 06510 New Haven, CT, USA
| | - Guodong Ding
- Department of Respiratory Medicine, Shanghai Children's Hospital, Shanghai Jiao Tong University, 200040 Shanghai, China
| | - Angela Vinturache
- Department of Obstetrics & Gynecology, Queen Elizabeth II Hospital, T8V2E8, Alberta, Canada
| | - Xiaojin Wang
- Department of Biostatistics, Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China
| | - Rong Shi
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China
| | - Fengxiu Ouyang
- MOE-Shanghai Key Laboratory of Children's Environmental Health, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 200092 Shanghai, China
| | - Jun Zhang
- MOE-Shanghai Key Laboratory of Children's Environmental Health, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 200092 Shanghai, China
| | - Jiong Li
- MOE-Shanghai Key Laboratory of Children's Environmental Health, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 200092 Shanghai, China; Department of Clinical Medicine-Department of Clinical Epidemiology, Aarhus University Hospital, 8200 Aarhus, Denmark
| | - Yu Gao
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.
| | - Ying Tian
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 200092 Shanghai, China.
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Liang J, Zheng S, Li X, Xiao D, Wang P. Associations of community, famliy and early individual factors with body mass index z-scores trajectories among Chinese children and adolescents. Sci Rep 2021; 11:14535. [PMID: 34267304 PMCID: PMC8282779 DOI: 10.1038/s41598-021-93949-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 05/06/2021] [Indexed: 11/09/2022] Open
Abstract
The prevalence of childhood overweight and obesity is increasing. This study aimed to examine trajectories of BMI z-scores among Chinese children and the potential determinants including early individual, family and community factors. Group-based trajectory modeling was employed to identify BMI z-scores trajectories of children aged 2-18 years using the five waves data (2010, 2012, 2014, 2016, and 2018) of the China Family Panel Studies (CFPS). Multivariate logistic regression was conducted to determine the association between early individual, family, community factors and BMI z-scores trajectories of children. We identified three trajectories for boys and girls, named Class 1 as "not-overweight", Class 2 as "persistent rapid descending but overweight during pre-school age", and Class 3 as "rapid rising up to school age and then become-overweight" class. Macrosomia (OR 1.772; 95% CI 1.188-2.644) and being a single child (OR 2.038; 95% CI 1.453-2.859) were more likely to belong in Class 3 among boys. Girls living in the advantaged communities (OR 1.539; 95% CI 1.052-2.252), rural-living (OR 1.558; 95% CI 1.133-2.142) and with none social integration (OR 1.496; 95% CI 1.07-2.091) were more likely to belong in Class 2. There are heterogeneous BMI z-scores trajectories of children aged 2-18, and pre-school age is a critical window that could predict the long-term growth patterns. BMI z-scores trends need to be monitored during pre-school age, focusing on those at higher risk of later overweight obesity status, and targeted interventions at the early individual, family, community levels are essential.
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Affiliation(s)
- Jing Liang
- School of Health Sciences, Wuhan University, Wuhan, 430071, China
| | - Si Zheng
- School of Health Sciences, Wuhan University, Wuhan, 430071, China
| | - Xuyang Li
- School of Health Sciences, Wuhan University, Wuhan, 430071, China
| | - Dianmin Xiao
- Gannan Medical University, Ganzhou, 341000, China
| | - Peigang Wang
- School of Health Sciences, Wuhan University, Wuhan, 430071, China. .,Wuhan University Center for Population and Health Research, Wuhan, 430071, China.
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