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PM2.5 constituents associated with childhood obesity and larger BMI growth trajectory: A 14-year longitudinal study.
Wang, Yaqi; Li, Weiming; Chen, Shuo; Zhang, Jingbo; Liu, Xiangtong; Jiang, Jun; Chen, Li; Tang, Ziqi; Wan, Xiaoyu; Lian, Xinyao; Liang, Baosheng; Xie, Shaodong; Ma, Jun; Guo, Xiuhua; Dong, Yanhui; Wu, Lijuan; Li, Jing; Koutrakis, Petros.
Afiliação
  • Wang Y; Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China.
  • Li W; Beijing Health Center for Physical Examination, Beijing 100191, China; Department of Epidemiology and Health Statistics, Capital Medical University School of Public Health, Beijing 100069, China.
  • Chen S; Beijing Health Center for Physical Examination, Beijing 100191, China; Department of Epidemiology and Health Statistics, Capital Medical University School of Public Health, Beijing 100069, China.
  • Zhang J; Beijing Health Center for Physical Examination, Beijing 100191, China; Department of Epidemiology and Health Statistics, Capital Medical University School of Public Health, Beijing 100069, China.
  • Liu X; Beijing Health Center for Physical Examination, Beijing 100191, China; Department of Epidemiology and Health Statistics, Capital Medical University School of Public Health, Beijing 100069, China.
  • Jiang J; Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China.
  • Chen L; Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China.
  • Tang Z; Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China.
  • Wan X; Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China.
  • Lian X; Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China.
  • Liang B; Department of Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
  • Xie S; State Key Joint Laboratory of Environment Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.
  • Ma J; Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China.
  • Guo X; Beijing Health Center for Physical Examination, Beijing 100191, China; Department of Epidemiology and Health Statistics, Capital Medical University School of Public Health, Beijing 100069, China.
  • Dong Y; Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China. Electronic address: dongyanhui@hsc.pku.edu.cn.
  • Wu L; Beijing Health Center for Physical Examination, Beijing 100191, China; Department of Epidemiology and Health Statistics, Capital Medical University School of Public Health, Beijing 100069, China. Electronic address: xiaowu@ccmu.edu.cn.
  • Li J; Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China. Electronic address: jing.li@hsc.pku.edu.cn.
  • Koutrakis P; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Environ Int ; 183: 108417, 2024 Jan.
Article em En | MEDLINE | ID: mdl-38199130
ABSTRACT

BACKGROUND:

The association of specific PM2.5 chemical constituents with childhood overweight or obesity (OWOB) remain unclear. Furthermore, the long-term impacts of PM2.5 exposure on the trajectory of children's body mass index (BMI) have not been explored.

METHODS:

We conducted a longitudinal study among 1,450,830 Chinese children aged 6-19 years from Beijing and Zhongshan in China during 2005-2018 to examine the associations of PM2.5 and its chemical constituents with incident OWOB risk. We extracted PM2.5 mass and five main component exposure from Tracking Air Pollution in China (TAP) dataset. Cox proportional hazards models were applied to quantify exposure-response associations. We further performed principal component analysis (PCA) to handle the multi-collinearity and used quantile g-computation (QGC) approach to analyze the impacts of exposure mixtures. Additionally, we selected 125,863 children with at least 8 physical examination measurements and combined group-based trajectory models (GBTM) with multinomial logistic regression models to explore the impacts of exposure to PM2.5 mass and five constituents on BMI and BMI Z-score trajectories during 6-19 years.

RESULTS:

We observed each interquartile range increment in PM2.5 exposure was significantly associated with a 5.1 % increase in the risk of incident OWOB (95 % confidence Interval [CI] 1.036-1.066). We also found black carbon, sulfate, organic matter, often linked to fossil combustion, had comparable or larger estimates of the effect (HR = 1.139-1.153) than PM2.5. Furthermore, Exposure to PM2.5 mass, sulfate, nitrate, ammonium, organic matter and black carbon was significantly associated with an increased odds of being in a larger BMI trajectory and being assigned to persistent OWOB trajectory.

CONCLUSIONS:

Our findings provide evidence that the constituents mainly from fossil fuel combustion may have a perceptible influence on increased OWOB risk associated with PM2.5 exposure in China. Moreover, long-term exposure to PM2.5 contributes to an increased odds of being in a lager BMI and a persistent OWOB trajectories.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos / Poluição do Ar / Obesidade Infantil Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Child / Humans País/Região como assunto: Asia Idioma: En Revista: Environ Int Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos / Poluição do Ar / Obesidade Infantil Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Child / Humans País/Região como assunto: Asia Idioma: En Revista: Environ Int Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China