Spatial analysis of overweight prevalence in China: exploring the association with air pollution
文献类型：期刊论文
| 作者 | Wang, Peihan1; Li, Kexin2; Xu, Chengdong3,4; Fan, Zixuan1,5; Wang, Zhenbo1,4 |
| 刊名 | BMC PUBLIC HEALTH
 |
| 出版日期 | 2023-08-22 |
| 卷号 | 23期号:1页码:10 |
| 关键词 | Spatial heterogeneity Air pollution Overweight Middle-aged Elderly |
| DOI | 10.1186/s12889-023-16518-6 |
| 通讯作者 | Xu, Chengdong(xucd@lreis.ac.cn) ; Fan, Zixuan(fanzixuan_pumc@163.com) |
| 英文摘要 | BackgroundOverweight is a known risk factor for various chronic diseases and poses a significant threat to middle-aged and elderly adults. Previous studies have reported a strong association between overweight and air pollution. However, the spatial relationship between the two remains unclear due to the confounding effects of spatial heterogeneity.MethodsWe gathered height and weight data from the 2015 China Health and Retirement Long-term Survey (CHARLS), comprising 16,171 middle-aged and elderly individuals. We also collected regional air pollution data. We then analyzed the spatial pattern of overweight prevalence using Moran's I and Getis-Ord Gi* statistics. To quantify the explanatory power of distinct air pollutants for spatial differences in overweight prevalence across Southern and Northern China, as well as across different age groups, we utilized Geodetector's q-statistic.ResultsThe average prevalence of overweight among middle-aged and elderly individuals in each city was 67.27% and 57.39%, respectively. In general, the q-statistic in southern China was higher than that in northern China. In the north, the prevalence was significantly higher at 54.86% compared to the prevalence of 38.75% in the south. SO2 exhibited a relatively higher q-statistic in middle-aged individuals in both the north and south, while for the elderly in the south, NO2 was the most crucial factor (q = 0.24, p < 0.01). Moreover, fine particulate matter (PM2.5 and PM10) also demonstrated an important effect on overweight. Furthermore, we found that the pairwise interaction between various risk factors improved the explanatory power of the prevalence of overweight, with different effects for different age groups and regions. In northern China, the strongest interaction was found between NO2 and SO2 (q = 0.55) for middle-aged individuals and PM2.5 and SO2 (q = 0.27) for the elderly. Conversely, in southern China, middle-aged individuals demonstrated the strongest interaction between SO2 and PM10 (q = 0.60), while the elderly showed the highest interaction between NO2 and O-3 (q = 0.42).ConclusionSignificant spatial heterogeneity was observed in the effects of air pollution on overweight. Specifically, air pollution in southern China was found to have a greater impact on overweight than that in northern China. And, the impact of air pollution on middle-aged individuals was more pronounced than on the elderly, with distinct pollutants demonstrating significant variation in their impact. Moreover, we found that SO2 had a greater impact on overweight prevalence among middle-aged individuals, while NO2 had a greater impact on the elderly. Additionally, we identified significant statistically interactions between O-3 and other pollutants. |
| WOS关键词 | BODY-MASS INDEX ; UNITED-STATES ; RISK-FACTORS ; OBESITY ; HEALTH ; ADULTS ; POLLUTANTS ; STRESS ; POLICY |
| WOS研究方向 | Public, Environmental & Occupational Health |
| 语种 | 英语 |
| 出版者 | BMC |
| WOS记录号 | WOS:001052837600001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/196732]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Xu, Chengdong; Fan, Zixuan |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 5.Peking Union Med Coll, Sch Hlth Policy & Management, Beijing 100730, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Peihan,Li, Kexin,Xu, Chengdong,et al. Spatial analysis of overweight prevalence in China: exploring the association with air pollution[J]. BMC PUBLIC HEALTH,2023,23(1):10. |
| APA | Wang, Peihan,Li, Kexin,Xu, Chengdong,Fan, Zixuan,&Wang, Zhenbo.(2023).Spatial analysis of overweight prevalence in China: exploring the association with air pollution.BMC PUBLIC HEALTH,23(1),10. |
| MLA | Wang, Peihan,et al."Spatial analysis of overweight prevalence in China: exploring the association with air pollution".BMC PUBLIC HEALTH 23.1(2023):10. |
入库方式： OAI收割
来源：地理科学与资源研究所
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