空气污染如何影响超重和肥胖之间的差异：直接和间接相关性的综合分析。

IF 3 3区医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Frontiers in Public Health Pub Date : 2024-11-01 eCollection Date: 2024-01-01 DOI:10.3389/fpubh.2024.1403197

Muchun Yu, Jinchen Xie, Yanyan Liu

{"title":"空气污染如何影响超重和肥胖之间的差异：直接和间接相关性的综合分析。","authors":"Muchun Yu, Jinchen Xie, Yanyan Liu","doi":"10.3389/fpubh.2024.1403197","DOIUrl":null,"url":null,"abstract":"Background: Obesity, characterized by excessive or abnormal fat accumulation, is a major public health concern. Air pollution is a significant potential obesogenic factor, but the clear direct and indirect correlations between air pollution and obesity remain unclear. This study aims to provide a comprehensive understanding of the relationship between air pollution and obesity by identifying both direct and indirect causal correlations.Methods: We used nationally representative data from the China Family Panel Survey. Air pollution concentrations were quantified as the mass (μg) of air pollutants per cubic meter (m3) based on nationally representative statistical data. To minimize statistical bias inherent in traditional methods, the direct relationship between air pollution and obesity was estimated using a regression discontinuity model, while the potential underlying mechanisms were explored through structural equation modeling.Results: Air pollution was generally positively associated with overweight/obesity ( <math><mi>O</mi> <msubsup><mi>R</mi> <mrow><mi>O</mi> <mi>W</mi></mrow> <mrow><mi>A</mi> <mi>Q</mi> <mi>I</mi></mrow> </msubsup> </math> = 1.109, [95%CI = 1.027:1.305], <math><mi>O</mi> <msubsup><mi>R</mi> <mrow><mi>O</mi> <mi>B</mi></mrow> <mrow><mi>A</mi> <mi>Q</mi> <mi>I</mi></mrow> </msubsup> </math> = 1.032, [95%CI = 1.006:1.217], <math><mi>O</mi> <msubsup><mi>R</mi> <mi>SO</mi> <mrow><mi>A</mi> <mi>Q</mi> <mi>I</mi></mrow> </msubsup> </math> = 1.069, [95%CI = 1.014:1.208], PM2.5 and PM10 positively affected overweight/obesity ( <math><mi>O</mi> <msubsup><mi>R</mi> <mrow><mi>O</mi> <mi>W</mi></mrow> <mrow><mi>PM</mi> <mn>2.5</mn></mrow> </msubsup> </math> = 1.173, [95%CI = 1.094:1.252], <math><mi>O</mi> <msubsup><mi>R</mi> <mrow><mi>O</mi> <mi>B</mi></mrow> <mrow><mi>PM</mi> <mn>2.5</mn></mrow> </msubsup> </math> = 1.022, [95%CI = 1.016:1.028], <math><mi>O</mi> <msubsup><mi>R</mi> <mi>SO</mi> <mrow><mi>PM</mi> <mn>2.5</mn></mrow> </msubsup> </math> = 1.035 [95%CI = 1.015:1.055], <math><mi>O</mi> <msubsup><mi>R</mi> <mrow><mi>O</mi> <mi>W</mi></mrow> <mrow><mi>PM</mi> <mn>10</mn></mrow> </msubsup> </math> = 1.053, [95%CI = 1.030:1.076], <math><mi>O</mi> <msubsup><mi>R</mi> <mrow><mi>O</mi> <mi>B</mi></mrow> <mrow><mi>PM</mi> <mn>10</mn></mrow> </msubsup> </math> = 1.008 [95%CI = 1.006:1.010], <math><mi>O</mi> <msubsup><mi>R</mi> <mi>SO</mi> <mrow><mi>PM</mi> <mn>10</mn></mrow> </msubsup> </math> = 1.013 [95%CI = 1.007:1.019]), and SO2 and CO posed negative impacts on overweight/obesity ( <math><mi>O</mi> <msubsup><mi>R</mi> <mrow><mi>O</mi> <mi>W</mi></mrow> <mrow><mi>SO</mi> <mn>2</mn></mrow> </msubsup> </math> = 0.972, [95%CI = 0.965:0.979], <math><mi>O</mi> <msubsup><mi>R</mi> <mrow><mi>O</mi> <mi>B</mi></mrow> <mrow><mi>SO</mi> <mn>2</mn></mrow> </msubsup> </math> = 0.997, [95%CI = 0.996:0.998], <math><mi>O</mi> <msubsup><mi>R</mi> <mi>SO</mi> <mrow><mi>SO</mi> <mn>2</mn></mrow> </msubsup> </math> = 0.994, [95%CI = 0.991:0.997], <math><mi>O</mi> <msubsup><mi>R</mi> <mrow><mi>O</mi> <mi>W</mi></mrow> <mrow><mi>C</mi> <mi>O</mi></mrow> </msubsup> </math> = 0.986, [95%CI = 0.980:0.992], <math><mi>O</mi> <msubsup><mi>R</mi> <mrow><mi>O</mi> <mi>B</mi></mrow> <mrow><mi>C</mi> <mi>O</mi></mrow> </msubsup> </math> = 0.998, [95%CI = 0.997:0.999], <math><mi>O</mi> <msubsup><mi>R</mi> <mi>SO</mi> <mrow><mi>C</mi> <mi>O</mi></mrow> </msubsup> </math> = 0.999, [95%CI = 0.998:0.999]). The impact of air pollution on overweight/obesity was more significant among men, older individuals, and rural populations compared to women, younger individuals, and urban populations. Furthermore, the relationship between air pollution and overweight/obesity was mediated by social behavior determinants, including physical activity (β = 0.18, [95%CI = 0.04:0.29]), sedentary behavior (β = 0.12, [95%CI = 0.04:0.16]), sleep (β = 0.06, [95%CI = 0.02:0.13], smoking (β = 0.07, [95%CI = 0.02:0.15]), alcohol consumption (β = 0.08, [95%CI = 0.04:0.11]), and mental health (β = 0.06, [95%CI = 0.01:0.09]).Conclusion: Air pollution was generally associated with an increased risk of overweight and obesity, with PM2.5 and PM10 having a positive influence, while SO2 and CO had a negative impact. The effect of air pollution was more pronounced among men, older individuals, and rural populations compared to women, younger individuals, and urban populations. Additionally, social behavior factors, such as physical activity, sedentary behavior, sleep, smoking, alcohol consumption, and mental health, predominantly mediated the relationship between air pollution and obesity.","PeriodicalId":12548,"journal":{"name":"Frontiers in Public Health","volume":"12 ","pages":"1403197"},"PeriodicalIF":3.0000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11566261/pdf/","citationCount":"0","resultStr":"{\"title\":\"How air pollution influences the difference between overweight and obesity: a comprehensive analysis of direct and indirect correlations.\",\"authors\":\"Muchun Yu, Jinchen Xie, Yanyan Liu\",\"doi\":\"10.3389/fpubh.2024.1403197\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: Obesity, characterized by excessive or abnormal fat accumulation, is a major public health concern. Air pollution is a significant potential obesogenic factor, but the clear direct and indirect correlations between air pollution and obesity remain unclear. This study aims to provide a comprehensive understanding of the relationship between air pollution and obesity by identifying both direct and indirect causal correlations.Methods: We used nationally representative data from the China Family Panel Survey. Air pollution concentrations were quantified as the mass (μg) of air pollutants per cubic meter (m3) based on nationally representative statistical data. To minimize statistical bias inherent in traditional methods, the direct relationship between air pollution and obesity was estimated using a regression discontinuity model, while the potential underlying mechanisms were explored through structural equation modeling.Results: Air pollution was generally positively associated with overweight/obesity ( <math><mi>O</mi> <msubsup><mi>R</mi> <mrow><mi>O</mi> <mi>W</mi></mrow> <mrow><mi>A</mi> <mi>Q</mi> <mi>I</mi></mrow> </msubsup> </math> = 1.109, [95%CI = 1.027:1.305], <math><mi>O</mi> <msubsup><mi>R</mi> <mrow><mi>O</mi> <mi>B</mi></mrow> <mrow><mi>A</mi> <mi>Q</mi> <mi>I</mi></mrow> </msubsup> </math> = 1.032, [95%CI = 1.006:1.217], <math><mi>O</mi> <msubsup><mi>R</mi> <mi>SO</mi> <mrow><mi>A</mi> <mi>Q</mi> <mi>I</mi></mrow> </msubsup> </math> = 1.069, [95%CI = 1.014:1.208], PM2.5 and PM10 positively affected overweight/obesity ( <math><mi>O</mi> <msubsup><mi>R</mi> <mrow><mi>O</mi> <mi>W</mi></mrow> <mrow><mi>PM</mi> <mn>2.5</mn></mrow> </msubsup> </math> = 1.173, [95%CI = 1.094:1.252], <math><mi>O</mi> <msubsup><mi>R</mi> <mrow><mi>O</mi> <mi>B</mi></mrow> <mrow><mi>PM</mi> <mn>2.5</mn></mrow> </msubsup> </math> = 1.022, [95%CI = 1.016:1.028], <math><mi>O</mi> <msubsup><mi>R</mi> <mi>SO</mi> <mrow><mi>PM</mi> <mn>2.5</mn></mrow> </msubsup> </math> = 1.035 [95%CI = 1.015:1.055], <math><mi>O</mi> <msubsup><mi>R</mi> <mrow><mi>O</mi> <mi>W</mi></mrow> <mrow><mi>PM</mi> <mn>10</mn></mrow> </msubsup> </math> = 1.053, [95%CI = 1.030:1.076], <math><mi>O</mi> <msubsup><mi>R</mi> <mrow><mi>O</mi> <mi>B</mi></mrow> <mrow><mi>PM</mi> <mn>10</mn></mrow> </msubsup> </math> = 1.008 [95%CI = 1.006:1.010], <math><mi>O</mi> <msubsup><mi>R</mi> <mi>SO</mi> <mrow><mi>PM</mi> <mn>10</mn></mrow> </msubsup> </math> = 1.013 [95%CI = 1.007:1.019]), and SO2 and CO posed negative impacts on overweight/obesity ( <math><mi>O</mi> <msubsup><mi>R</mi> <mrow><mi>O</mi> <mi>W</mi></mrow> <mrow><mi>SO</mi> <mn>2</mn></mrow> </msubsup> </math> = 0.972, [95%CI = 0.965:0.979], <math><mi>O</mi> <msubsup><mi>R</mi> <mrow><mi>O</mi> <mi>B</mi></mrow> <mrow><mi>SO</mi> <mn>2</mn></mrow> </msubsup> </math> = 0.997, [95%CI = 0.996:0.998], <math><mi>O</mi> <msubsup><mi>R</mi> <mi>SO</mi> <mrow><mi>SO</mi> <mn>2</mn></mrow> </msubsup> </math> = 0.994, [95%CI = 0.991:0.997], <math><mi>O</mi> <msubsup><mi>R</mi> <mrow><mi>O</mi> <mi>W</mi></mrow> <mrow><mi>C</mi> <mi>O</mi></mrow> </msubsup> </math> = 0.986, [95%CI = 0.980:0.992], <math><mi>O</mi> <msubsup><mi>R</mi> <mrow><mi>O</mi> <mi>B</mi></mrow> <mrow><mi>C</mi> <mi>O</mi></mrow> </msubsup> </math> = 0.998, [95%CI = 0.997:0.999], <math><mi>O</mi> <msubsup><mi>R</mi> <mi>SO</mi> <mrow><mi>C</mi> <mi>O</mi></mrow> </msubsup> </math> = 0.999, [95%CI = 0.998:0.999]). The impact of air pollution on overweight/obesity was more significant among men, older individuals, and rural populations compared to women, younger individuals, and urban populations. Furthermore, the relationship between air pollution and overweight/obesity was mediated by social behavior determinants, including physical activity (β = 0.18, [95%CI = 0.04:0.29]), sedentary behavior (β = 0.12, [95%CI = 0.04:0.16]), sleep (β = 0.06, [95%CI = 0.02:0.13], smoking (β = 0.07, [95%CI = 0.02:0.15]), alcohol consumption (β = 0.08, [95%CI = 0.04:0.11]), and mental health (β = 0.06, [95%CI = 0.01:0.09]).Conclusion: Air pollution was generally associated with an increased risk of overweight and obesity, with PM2.5 and PM10 having a positive influence, while SO2 and CO had a negative impact. The effect of air pollution was more pronounced among men, older individuals, and rural populations compared to women, younger individuals, and urban populations. Additionally, social behavior factors, such as physical activity, sedentary behavior, sleep, smoking, alcohol consumption, and mental health, predominantly mediated the relationship between air pollution and obesity.\",\"PeriodicalId\":12548,\"journal\":{\"name\":\"Frontiers in Public Health\",\"volume\":\"12 \",\"pages\":\"1403197\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2024-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11566261/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in Public Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3389/fpubh.2024.1403197\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Public Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3389/fpubh.2024.1403197","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}

引用次数: 0

摘要

背景：肥胖症以脂肪过度或异常堆积为特征，是一个主要的公共健康问题。空气污染是一个重要的潜在肥胖因素，但空气污染与肥胖之间明确的直接和间接相关性仍不清楚。本研究旨在通过确定直接和间接的因果关系，全面了解空气污染与肥胖之间的关系：方法：我们使用了中国家庭抽样调查中具有全国代表性的数据。方法：我们使用了具有全国代表性的中国家庭抽样调查数据，将空气污染浓度量化为每立方米（m3）空气污染物的质量（μg）。为了尽量减少传统方法固有的统计偏差，我们采用回归不连续模型来估计空气污染与肥胖之间的直接关系，同时通过结构方程模型来探讨潜在的内在机制：结果：空气污染总体上与超重/肥胖呈正相关（O R O W A Q I = 1.109, [95%CI = 1.027:1.305], O R O B A Q I = 1.032, [95%CI = 1.006:1.217], O R SO A Q I = 1.069, [95%CI = 1.014:1.208], PM2.5和PM10对超重/肥胖有积极影响（O R O W PM 2.5 = 1.173, [95%CI = 1.094:1.252], O R O B PM 2.5 = 1.022, [95%CI = 1.016:1.028], O R SO PM 2.5 = 1.035 [95%CI = 1.015:1.055], O R O W PM 10 = 1.053, [95%CI = 1.030:1.076], O R O B PM 10 = 1.008 [95%CI = 1.006:1.010], O R SO PM 10 = 1.013 [95%CI = 1.007:1.019]), SO2 和 CO 对超重/肥胖有负面影响（O R O W SO 2 = 0.972, [95%CI = 0.965:0.979], O R O B SO 2 = 0.997，[95%CI = 0.996:0.998]，O R O SO 2 = 0.994，[95%CI = 0.991:0.997]，O R O W C O = 0.986，[95%CI = 0.980:0.992]，O R O B C O = 0.998，[95%CI = 0.997:0.999]，O R O SO C O = 0.999，[95%CI = 0.998:0.999]）。与女性、年轻人和城市人口相比，空气污染对男性、老年人和农村人口超重/肥胖的影响更为显著。此外，空气污染与超重/肥胖之间的关系还受到社会行为决定因素的影响，包括体力活动（β = 0.18，[95%CI = 0.04:0.29]）、久坐行为（β = 0.12，[95%CI = 0.04:0.16]）、睡眠（β = 0.06，[95%CI = 0.02:0.13]）、吸烟（β = 0.07，[95%CI = 0.02:0.15]）、饮酒（β = 0.08，[95%CI = 0.04:0.11]）和心理健康（β = 0.06，[95%CI = 0.01:0.09]）：结论：空气污染通常与超重和肥胖风险的增加有关，PM2.5 和 PM10 具有积极影响，而二氧化硫和一氧化碳则具有消极影响。与女性、年轻人和城市人口相比，空气污染对男性、老年人和农村人口的影响更为明显。此外，体育锻炼、久坐不动、睡眠、吸烟、饮酒和心理健康等社会行为因素在空气污染与肥胖之间的关系中起着主要的中介作用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

How air pollution influences the difference between overweight and obesity: a comprehensive analysis of direct and indirect correlations.

Background: Obesity, characterized by excessive or abnormal fat accumulation, is a major public health concern. Air pollution is a significant potential obesogenic factor, but the clear direct and indirect correlations between air pollution and obesity remain unclear. This study aims to provide a comprehensive understanding of the relationship between air pollution and obesity by identifying both direct and indirect causal correlations.

Methods: We used nationally representative data from the China Family Panel Survey. Air pollution concentrations were quantified as the mass (μg) of air pollutants per cubic meter (m³) based on nationally representative statistical data. To minimize statistical bias inherent in traditional methods, the direct relationship between air pollution and obesity was estimated using a regression discontinuity model, while the potential underlying mechanisms were explored through structural equation modeling.

Results: Air pollution was generally positively associated with overweight/obesity ( $O R_{O W}^{A Q I}$ = 1.109, [95%CI = 1.027:1.305], $O R_{O B}^{A Q I}$ = 1.032, [95%CI = 1.006:1.217], $O R_{SO}^{A Q I}$ = 1.069, [95%CI = 1.014:1.208], PM_2.5 and PM₁₀ positively affected overweight/obesity ( $O R_{O W}^{PM 2.5}$ = 1.173, [95%CI = 1.094:1.252], $O R_{O B}^{PM 2.5}$ = 1.022, [95%CI = 1.016:1.028], $O R_{SO}^{PM 2.5}$ = 1.035 [95%CI = 1.015:1.055], $O R_{O W}^{PM 10}$ = 1.053, [95%CI = 1.030:1.076], $O R_{O B}^{PM 10}$ = 1.008 [95%CI = 1.006:1.010], $O R_{SO}^{PM 10}$ = 1.013 [95%CI = 1.007:1.019]), and SO₂ and CO posed negative impacts on overweight/obesity ( $O R_{O W}^{SO 2}$ = 0.972, [95%CI = 0.965:0.979], $O R_{O B}^{SO 2}$ = 0.997, [95%CI = 0.996:0.998], $O R_{SO}^{SO 2}$ = 0.994, [95%CI = 0.991:0.997], $O R_{O W}^{C O}$ = 0.986, [95%CI = 0.980:0.992], $O R_{O B}^{C O}$ = 0.998, [95%CI = 0.997:0.999], $O R_{SO}^{C O}$ = 0.999, [95%CI = 0.998:0.999]). The impact of air pollution on overweight/obesity was more significant among men, older individuals, and rural populations compared to women, younger individuals, and urban populations. Furthermore, the relationship between air pollution and overweight/obesity was mediated by social behavior determinants, including physical activity (β = 0.18, [95%CI = 0.04:0.29]), sedentary behavior (β = 0.12, [95%CI = 0.04:0.16]), sleep (β = 0.06, [95%CI = 0.02:0.13], smoking (β = 0.07, [95%CI = 0.02:0.15]), alcohol consumption (β = 0.08, [95%CI = 0.04:0.11]), and mental health (β = 0.06, [95%CI = 0.01:0.09]).

Conclusion: Air pollution was generally associated with an increased risk of overweight and obesity, with PM_2.5 and PM₁₀ having a positive influence, while SO₂ and CO had a negative impact. The effect of air pollution was more pronounced among men, older individuals, and rural populations compared to women, younger individuals, and urban populations. Additionally, social behavior factors, such as physical activity, sedentary behavior, sleep, smoking, alcohol consumption, and mental health, predominantly mediated the relationship between air pollution and obesity.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Frontiers in Public Health Medicine-Public Health, Environmental and Occupational Health

CiteScore

4.80

自引率

7.70%

发文量

4469

审稿时长

14 weeks

期刊介绍： Frontiers in Public Health is a multidisciplinary open-access journal which publishes rigorously peer-reviewed research and is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians, policy makers and the public worldwide. The journal aims at overcoming current fragmentation in research and publication, promoting consistency in pursuing relevant scientific themes, and supporting finding dissemination and translation into practice. Frontiers in Public Health is organized into Specialty Sections that cover different areas of research in the field. Please refer to the author guidelines for details on article types and the submission process.