Association between exposure to heavy metals in atmospheric particulate matter and sleep quality: A nationwide data linkage study

优势比 匹兹堡睡眠质量指数 置信区间 环境卫生 医学 逻辑回归 空气质量指数 全国健康与营养检查调查 微粒 人口学 睡眠质量 失眠症 内科学 化学 人口 气象学 地理 有机化学 社会学 精神科
作者
Byung Kwon Kim,Changsoo Kim,Jaelim Cho
出处
期刊:Environmental Research [Elsevier BV]
卷期号:247: 118217-118217 被引量:5
标识
DOI:10.1016/j.envres.2024.118217
摘要

Recent studies have demonstrated that long-term exposure to particulate matter (PM) is associated with poor sleep quality. However, no studies have linked PM constituents, particularly heavy metals, to sleep quality. This study investigated the association between exposure to heavy metals in PM and sleep quality. We obtained nationwide data from the Korean Community Health Survey conducted in 2018 among adults aged 19–80 years. Sleep quality was evaluated using Pittsburgh Sleep Quality Index (PSQI). Poor sleep quality was defined as PSQI ≥5. One-year and three-month average concentrations of heavy metals (lead, manganese, cadmium, and aluminum) in PM with diameter ≤10 μm were obtained from nationwide air quality monitoring data and linked to the survey data based on individual district-level residential addresses. Logistic regression analyses were performed after adjusting for age, sex, education level, marital status, smoking status, alcohol consumption, history of hypertension, and history of diabetes mellitus. Of 32,050 participants, 17,082 (53.3%) reported poor sleep quality. Increases in log-transformed one-year average lead (odds ratio, 1.14; 95% confidence interval, 1.08−1.20), manganese (1.31; 1.25−1.37), cadmium (1.03; 1.00−1.05), and aluminum concentrations (1.17; 1.10−1.25) were associated with poor sleep quality. Increases in log-transformed three-month average manganese (odds ratio, 1.13; 95% confidence interval, 1.09−1.17) and aluminum concentrations (1.28; 1.21−1.35) were associated with poor sleep quality. We showed for the first time that exposure to airborne lead, manganese, cadmium, and aluminum were associated with poor sleep quality. This study may be limited by self-reported sleep quality and district-level exposure data.
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