2021
DOI: 10.1016/j.scitotenv.2021.146046
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Effects of short-term ambient PM2.5 exposure on the blood cell count and hemoglobin concentration among 82,431 people in eastern China

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Cited by 11 publications
(7 citation statements)
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“…Second, the impact of comorbidities such as coronary artery disease (which may also lead to high monocyte counts) on the observed association between monocyte percentage and AECOPD was unknown and need to be studied 35 . Third, our study lacked the environmental data of patients; however, the effects of short-term exposure to ambient PM2.5 on the blood cell count have been reported 36 . The effects of air pollution on the observed association between monocyte percentage and AECOPD need further investigation.…”
Section: Discussionmentioning
confidence: 96%
“…Second, the impact of comorbidities such as coronary artery disease (which may also lead to high monocyte counts) on the observed association between monocyte percentage and AECOPD was unknown and need to be studied 35 . Third, our study lacked the environmental data of patients; however, the effects of short-term exposure to ambient PM2.5 on the blood cell count have been reported 36 . The effects of air pollution on the observed association between monocyte percentage and AECOPD need further investigation.…”
Section: Discussionmentioning
confidence: 96%
“…In addition, many studies have reported the associations of air pollution with peripheral blood cells and leukemia, which are closely related to hematopoietic function [ 33 41 ]. In 1999, Seaton et al reported that PM 10 exposure is associated with not only hemoglobin levels but also packed cell volume, and red blood cell (RBC) count among subjects aged over 60 years [ 38 ].…”
Section: Discussionmentioning
confidence: 99%
“…Minimizing the AIC value was applied to identify the optimal lag time 14 16 . We expressed the effects as the estimated changes in blood lipid-related indicators and their 95% confidence intervals (CIs) for a 10 μg/m 3 increase in ambient PM 2.5 concentration 15 . We also converted lipid-related indicators into dichotomous variables (normal and abnormal) to calculate risks of hyperlipidemia associated with PM 2.5 exposure, and expressed them as the odds ratio (OR) as well as their 95% CIs for 10 μg/m 3 rise in outdoor PM 2.5 concentration.…”
Section: Methodsmentioning
confidence: 99%
“…The heterogeneity effects between subgroups were evaluated using the formula: , where and are the estimated effects, and and are their standard errors, respectively. When the value was larger than 1.96, the difference was considered statistically significant 15 .…”
Section: Methodsmentioning
confidence: 99%