[HTML][HTML] Systematic review and meta-analysis of human skin diseases due to particulate matter

LTN Ngoc, D Park, Y Lee, YC Lee - International journal of environmental …, 2017 - mdpi.com
LTN Ngoc, D Park, Y Lee, YC Lee
International journal of environmental research and public health, 2017mdpi.com
This study investigated the effects of particulate matter (PM) on human skin diseases by
conducting a systematic review of existing literature and performing a meta-analysis. It
considered articles reporting an original effect of PM on human skin. From among 918
articles identified, 13 articles were included for further consideration after manual screening
of the articles resulted in the exclusion of articles that did not contain data, review articles,
editorials, and also articles in languages other than English. Random-effects models and …
This study investigated the effects of particulate matter (PM) on human skin diseases by conducting a systematic review of existing literature and performing a meta-analysis. It considered articles reporting an original effect of PM on human skin. From among 918 articles identified, 13 articles were included for further consideration after manual screening of the articles resulted in the exclusion of articles that did not contain data, review articles, editorials, and also articles in languages other than English. Random-effects models and forest plots were used to estimate the effect of PM on the skin by Meta-Disc analysis. According to people’s reports of exposure and negative skin effects (atopic dermatitis (AD), eczema, and skin aging, etc.) due to air pollution, the summary relative risk (odds ratio) of PM10 was determined to be 0.99 (95% confidence interval (CI) 0.89–1.11) whereas PM2.5 was determined to be 1.04 (95% CI 0.96–1.12). Simultaneously, there was a different extent of impact between PM10 and PM2.5 on atopic dermatitis (AD) for those of young age: the odds ratio of PM10 and PM2.5 were 0.96 (95% CI 0.83–1.11; I2 = 62.7%) and 1.05 (95% CI 0.95–1.16; I2 = 46%), respectively. Furthermore, the results suggest an estimated increase of disease incidence per 10 μg/m3 PM of 1.01% (0.08–2.05) due to PM10 and 1.60% (0.45–2.82) due to PM2.5. Following the results, PM10 and PM2.5 are associated with increased risks of human skin diseases, especially AD, whose risk is higher in infants and school children. With its smaller size and a high concentration of metals, PM2.5 is more closely related to AD in younger people, compared to PM10.
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