Associations Between Gender Gaps in Life Expectancy, Air Pollution, and Urbanization: A Global Assessment With Bayesian Spatiotemporal Modeling

被引：3
|
作者：
Ren, Zhoupeng [1 ,2 ]
Wang, Shaobin [1 ]
Liu, Xianglong [1 ,2 ]
Yin, Qian [1 ,2 ]
Fan, Junfu [3 ]
机构：
[1] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
[2] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
[3] Shandong Univ Technol, Sch Civil & Architectural Engn, Zibo, Shandong, Peoples R China
来源：
INTERNATIONAL JOURNAL OF PUBLIC HEALTH | 2023年 / 68卷
基金：
中国国家自然科学基金;
关键词：
air pollution; spatial heterogeneity analysis; urbanization; gender gaps in life expectancy; Bayesian spatiotemporal modeling; SEX-DIFFERENCES; AMBIENT PM2.5; UNITED-STATES; MORTALITY; HEALTH; TRENDS; INCOME; WOMEN; DETERMINANTS; MORBIDITY;
D O I：
10.3389/ijph.2023.1605345
中图分类号：
R1 [预防医学、卫生学];
学科分类号：
1004 ; 120402 ;
摘要：
Objectives: It's evident that women have a longer life expectancy than men. This study investigates the spatiotemporal trends of gender gaps in life expectancy (GGLE). It demonstrates the spatiotemporal difference of the influence factors of population-weighted air pollution (pwPM(2.5)) and urbanization on GGLE.Methods: Panel data on GGLE and influencing factors from 134 countries from 1960 to 2018 are collected. The Bayesian spatiotemporal model is performed.Results: The results show an obvious spatial heterogeneity worldwide with a continuously increasing trend of GGLE. Bayesian spatiotemporal regression reveals a significant positive relationship between pwPM(2.5), urbanization, and GGLE with the spatial random effects. Further, the regression coefficients present obvious geographic disparities across space worldwide.Conclusion: In sum, social-economic development and air quality improvement should be considered comprehensively in global policy to make a fair chance for both genders to maximize their health gains.
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页数：11
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