2021
DOI: 10.1016/j.envint.2021.106454
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Association of long-term exposure to PM2.5 with blood lipids in the Chinese population: Findings from a longitudinal quasi-experiment

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Cited by 46 publications
(36 citation statements)
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References 38 publications
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“…During 2013 to 2017, the CHARLS project conducted three waves of surveys in 2011 (before CAP), 2013, and 2015 (after CAP). Using a difference-in-differences approach, the authors found significant associations of PM 2.5 reduction with decreased risk of depression, 90 improved blood lipid levels, and decreased risk of dyslipidemia, 91 as well as reduced medical expenditure. 92 Another quasi-experimental study was conducted based on the CLHLS among 2,812 participants aged 60 years and older from the 2014 and 2018 waves.…”
Section: Epidemiological Evidence On Health Impacts Of Particulates I...mentioning
confidence: 99%
“…During 2013 to 2017, the CHARLS project conducted three waves of surveys in 2011 (before CAP), 2013, and 2015 (after CAP). Using a difference-in-differences approach, the authors found significant associations of PM 2.5 reduction with decreased risk of depression, 90 improved blood lipid levels, and decreased risk of dyslipidemia, 91 as well as reduced medical expenditure. 92 Another quasi-experimental study was conducted based on the CLHLS among 2,812 participants aged 60 years and older from the 2014 and 2018 waves.…”
Section: Epidemiological Evidence On Health Impacts Of Particulates I...mentioning
confidence: 99%
“…In contrast, before the intervention, there was no significant trend in PM 2.5 (0.29 μg/m 3 /year; 95% CI: -3.66~4.25 μg/m 3 /year) from 2009 to 2012. Spatial distributions of the PM 2.5 trends are documented in our previous publication (17). Detailed summaries of the studied population are presented in Table 1.…”
Section: Resultsmentioning
confidence: 97%
“…This study applied a difference-in-difference method to examine the causal effect of PM 2.5 on kidney function. The same approach has been applied in our previous analyses (17,19) and briefly introduced in supplement (S1.4). For this study, the difference-in-difference analysis was parameterized using the following equation:…”
Section: Study Design and Statisticalmentioning
confidence: 99%
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“…PM2.5 has become the primary urban space pollution problem in China and seriously threatens human health (Bonyadi et al 2016;Li et al 2021) and hinders urban operation through the formation of haze.…”
Section: Introductionmentioning
confidence: 99%