Long-term exposure to fine particulate matter components with obesity in children and adolescents in China: The age-sex disparities and key effect modifiers
Long-term fine particulate matter (PM2.5) exposure was associated with childhood obesity. However, the key PM2.5 components and whether PM2.5 effect may vary by obesity type, growth stage, sex, and individual/family characteristics have yet been examined. In this study, we investigated 213,907 Chine...
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2025-01-01
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| Series: | Ecotoxicology and Environmental Safety |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0147651325001095 |
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| author | Jinling Wang Xinyi Li Guannan Bai Rachel Huxley Kejia Hu Jinna Yuan Xuelian Zhou Xiaochi Zhang Ke Huang Guanping Dong Wei Wu Bingyan Cao Rongxiu Zheng Chunlin Wang Haiyan Wei Yan Liang Hui Yao Feihong Luo Pin Li Zhe Su Ruimin Chen Shaoke Chen Jingsi Luo Hongwei Du Mireguli. Maimaiti Jianwei Zhang Yu Yang Min Zhu Qi Zhao Junfen Fu |
| author_facet | Jinling Wang Xinyi Li Guannan Bai Rachel Huxley Kejia Hu Jinna Yuan Xuelian Zhou Xiaochi Zhang Ke Huang Guanping Dong Wei Wu Bingyan Cao Rongxiu Zheng Chunlin Wang Haiyan Wei Yan Liang Hui Yao Feihong Luo Pin Li Zhe Su Ruimin Chen Shaoke Chen Jingsi Luo Hongwei Du Mireguli. Maimaiti Jianwei Zhang Yu Yang Min Zhu Qi Zhao Junfen Fu |
| author_sort | Jinling Wang |
| collection | DOAJ |
| description | Long-term fine particulate matter (PM2.5) exposure was associated with childhood obesity. However, the key PM2.5 components and whether PM2.5 effect may vary by obesity type, growth stage, sex, and individual/family characteristics have yet been examined. In this study, we investigated 213,907 Chinese children and adolescents aged 3–18 years in 2017–2019. Three-year average concentrations of PM2.5 and five major components were assigned to each participant's address. Multivariable mixed-effects model and weighted quantile sum regression were used to estimate the effect sizes of each component. Stratified analyses were performed by age and sex groups, with the interactive effects of a series of individual/family features evaluated. The odds ratio of childhood obesity was 1.28 (95 %CI: 1.15–1.43) for per interquartile range increase in PM2.5, with organic matter identified as the key contributor. General central obesity and mixed obesity were more sensitive to PM2.5 exposure than peripheral obesity. As children aged, the effect size of PM2.5 attenuated for general central obesity, remained unchanged for mixed obesity and increased for peripheral obesity. Females, children with obese parents, and those with lower levels of physical activity were more vulnerable than others. Other adverse effect modifiers for certain children included family with one child, low family income, and less sleep duration. Our findings emphasize that the influence of exposure to PM2.5 and its components on risk of obesity in children and adolescents should be considered comprehensively in developing adequate obesity prevention strategies. |
| format | Article |
| id | doaj-art-14e107ca0e26417cabcc46232ec81282 |
| institution | Kabale University |
| issn | 0147-6513 |
| language | English |
| publishDate | 2025-01-01 |
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| series | Ecotoxicology and Environmental Safety |
| spelling | doaj-art-14e107ca0e26417cabcc46232ec812822025-02-12T05:30:18ZengElsevierEcotoxicology and Environmental Safety0147-65132025-01-01290117773Long-term exposure to fine particulate matter components with obesity in children and adolescents in China: The age-sex disparities and key effect modifiersJinling Wang0Xinyi Li1Guannan Bai2Rachel Huxley3Kejia Hu4Jinna Yuan5Xuelian Zhou6Xiaochi Zhang7Ke Huang8Guanping Dong9Wei Wu10Bingyan Cao11Rongxiu Zheng12Chunlin Wang13Haiyan Wei14Yan Liang15Hui Yao16Feihong Luo17Pin Li18Zhe Su19Ruimin Chen20Shaoke Chen21Jingsi Luo22Hongwei Du23Mireguli. Maimaiti24Jianwei Zhang25Yu Yang26Min Zhu27Qi Zhao28Junfen Fu29Department of Endocrinology, Children’s Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, Zhejiang, ChinaDepartment of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China; Shandong University Climate Change and Health Center, Shandong University, Jinan, Shandong, ChinaDepartment of Child Health Care, Children's Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, Zhejiang, ChinaFaculty of Health, Deakin University, Melbourne, Victoria, AustraliaDepartment of Big Data in Health Science, School of Public Health, Zhejiang University, Zijingang Campus, Hangzhou, Zhejiang, ChinaDepartment of Endocrinology, Children’s Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, Zhejiang, ChinaDepartment of Endocrinology, Children’s Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, Zhejiang, ChinaDepartment of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China; Shandong University Climate Change and Health Center, Shandong University, Jinan, Shandong, ChinaDepartment of Endocrinology, Children’s Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, Zhejiang, ChinaDepartment of Endocrinology, Children’s Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, Zhejiang, ChinaDepartment of Endocrinology, Children’s Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, Zhejiang, ChinaDepartment of Endocrinology, Beijing Children's Hospital, Capital Medical University, National Medical Center for Children's health, Beijing, ChinaDepartment of Pediatric, Tianjin Medical University General Hospital, Tianjin, ChinaDepartment of Pediatric, The First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, ChinaDepartment of Endocrinology, Zhengzhou Children's Hospital, Zhengzhou, Henan, ChinaDepartment of Pediatric, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, ChinaDepartment of Pediatric, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, ChinaDepartment of Pediatric Endocrinology and Inherited Metabolic Diseases, Children's Hospital of Fudan University, Shanghai, ChinaDepartment of Endocrinology, Children's Hospital of Shanghai Jiaotong University, Shanghai, ChinaDepartment of Endocrinology, Shenzhen Children's Hospital, Shenzhen, Guangdong, ChinaDepartment of Endocrinology, Children's Hospital of Fuzhou, Fuzhou, Fujian, ChinaDepartment of Pediatric, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, ChinaDepartment of Genetic and Metabolic Central Laboratory, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, ChinaDepartment of Pediatric Endocrinology, The First Bethune Hospital of Jilin University, Changchun, Jilin, ChinaDepartment of Pediatric, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, ChinaDepartment of Endocrinology, Children’s Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, Zhejiang, China; Department of Pediatrics, Shaoxing Women and Children's Hospital, Shaoxing, Zhejiang, ChinaDepartment of Endocrinology, Jiangxi Provincial Children's Hospital, Nanchang, Jiangxi, ChinaDepartment of Endocrinology, Children's Hospital of Chongqing Medical University, Chongqing, ChinaDepartment of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China; Shandong University Climate Change and Health Center, Shandong University, Jinan, Shandong, China; Faculty of Health, Deakin University, Melbourne, Victoria, Australia; Corresponding author at: Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.Department of Endocrinology, Children’s Hospital Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, Zhejiang, China; Corresponding author.Long-term fine particulate matter (PM2.5) exposure was associated with childhood obesity. However, the key PM2.5 components and whether PM2.5 effect may vary by obesity type, growth stage, sex, and individual/family characteristics have yet been examined. In this study, we investigated 213,907 Chinese children and adolescents aged 3–18 years in 2017–2019. Three-year average concentrations of PM2.5 and five major components were assigned to each participant's address. Multivariable mixed-effects model and weighted quantile sum regression were used to estimate the effect sizes of each component. Stratified analyses were performed by age and sex groups, with the interactive effects of a series of individual/family features evaluated. The odds ratio of childhood obesity was 1.28 (95 %CI: 1.15–1.43) for per interquartile range increase in PM2.5, with organic matter identified as the key contributor. General central obesity and mixed obesity were more sensitive to PM2.5 exposure than peripheral obesity. As children aged, the effect size of PM2.5 attenuated for general central obesity, remained unchanged for mixed obesity and increased for peripheral obesity. Females, children with obese parents, and those with lower levels of physical activity were more vulnerable than others. Other adverse effect modifiers for certain children included family with one child, low family income, and less sleep duration. Our findings emphasize that the influence of exposure to PM2.5 and its components on risk of obesity in children and adolescents should be considered comprehensively in developing adequate obesity prevention strategies.http://www.sciencedirect.com/science/article/pii/S0147651325001095PM2.5Childhood obesityEffect modifiers |
| spellingShingle | Jinling Wang Xinyi Li Guannan Bai Rachel Huxley Kejia Hu Jinna Yuan Xuelian Zhou Xiaochi Zhang Ke Huang Guanping Dong Wei Wu Bingyan Cao Rongxiu Zheng Chunlin Wang Haiyan Wei Yan Liang Hui Yao Feihong Luo Pin Li Zhe Su Ruimin Chen Shaoke Chen Jingsi Luo Hongwei Du Mireguli. Maimaiti Jianwei Zhang Yu Yang Min Zhu Qi Zhao Junfen Fu Long-term exposure to fine particulate matter components with obesity in children and adolescents in China: The age-sex disparities and key effect modifiers Ecotoxicology and Environmental Safety PM2.5 Childhood obesity Effect modifiers |
| title | Long-term exposure to fine particulate matter components with obesity in children and adolescents in China: The age-sex disparities and key effect modifiers |
| title_full | Long-term exposure to fine particulate matter components with obesity in children and adolescents in China: The age-sex disparities and key effect modifiers |
| title_fullStr | Long-term exposure to fine particulate matter components with obesity in children and adolescents in China: The age-sex disparities and key effect modifiers |
| title_full_unstemmed | Long-term exposure to fine particulate matter components with obesity in children and adolescents in China: The age-sex disparities and key effect modifiers |
| title_short | Long-term exposure to fine particulate matter components with obesity in children and adolescents in China: The age-sex disparities and key effect modifiers |
| title_sort | long term exposure to fine particulate matter components with obesity in children and adolescents in china the age sex disparities and key effect modifiers |
| topic | PM2.5 Childhood obesity Effect modifiers |
| url | http://www.sciencedirect.com/science/article/pii/S0147651325001095 |
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