2021
DOI: 10.1016/j.envint.2020.106241
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Socioeconomic disparity in the association between long-term exposure to PM2.5 and mortality in 2640 Chinese counties

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Cited by 58 publications
(27 citation statements)
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“…Many studies have examined health inequalities associated with air pollution, providing evidence that socio‐economic deprivation could exacerbate the adverse health effects of air pollution (Castillo et al., 2021; T. Liu et al., 2021; Martins et al., 2004; Morelli et al., 2016; Wong et al., 2008). Recently, a nationwide study including 2,640 Chinese counties found that people living in counties with lower literacy, college education, GDP per capita, and urbanization levels were more vulnerable to the mortality risks of long‐term PM 2.5 exposure than those living in counties with higher levels of these parameters (L. Han et al., 2021). In addition to the health effects of air pollution, ambient non‐optimal temperatures (both hot and cold temperatures) have also been reported to pose higher risks to populations living in suburban and rural areas than those in urban areas (K. Chen et al., 2016; Hu et al., 2019; Xing et al., 2020), challenging the assumption that populations living in urban areas may bear higher risks of temperature due to urban heat island effects.…”
Section: Discussionmentioning
confidence: 99%
“…Many studies have examined health inequalities associated with air pollution, providing evidence that socio‐economic deprivation could exacerbate the adverse health effects of air pollution (Castillo et al., 2021; T. Liu et al., 2021; Martins et al., 2004; Morelli et al., 2016; Wong et al., 2008). Recently, a nationwide study including 2,640 Chinese counties found that people living in counties with lower literacy, college education, GDP per capita, and urbanization levels were more vulnerable to the mortality risks of long‐term PM 2.5 exposure than those living in counties with higher levels of these parameters (L. Han et al., 2021). In addition to the health effects of air pollution, ambient non‐optimal temperatures (both hot and cold temperatures) have also been reported to pose higher risks to populations living in suburban and rural areas than those in urban areas (K. Chen et al., 2016; Hu et al., 2019; Xing et al., 2020), challenging the assumption that populations living in urban areas may bear higher risks of temperature due to urban heat island effects.…”
Section: Discussionmentioning
confidence: 99%
“…To examine potential lagged effects of PM 2.5 concentrations, we used the moving average of PM 2.5 in the current year and 1-2 years before (lag 0-1 and lag 0-2) to refit the main model. We applied a meta-regression to check the statistical differences among the effect estimates of the primary model and sensitivity models [30,31]. The effect estimates were modeled against the meta-predictor (e.g.…”
Section: Discussionmentioning
confidence: 99%
“…Another explanation considered that social infrastructure and health service were limited, as well as environmental protection sources was not accessible in rural areas. Generally, rural residents conducted more outdoor activities, resulting in higher PM2.5 exposure (Han et al, 2021). They less use anti-PM2.5 air filters and take special face masks to reduce exposure to PM2.5, which increases the exposure risks in rural areas (Zhao et al, 2021).…”
Section: Discussionmentioning
confidence: 99%