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 精神科 社会学
作者
Byung Kwon Kim,Changsoo Kim,Jaelim Cho
出处
期刊:Environmental Research [Elsevier]
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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
ran发布了新的文献求助20
刚刚
科研通AI5应助好大的雨采纳,获得30
1秒前
自然的茉莉完成签到,获得积分10
1秒前
顺利绿真完成签到,获得积分20
2秒前
脑洞疼应助海风吹采纳,获得10
2秒前
华仔应助刘宇翔采纳,获得10
2秒前
2秒前
学海无涯发布了新的文献求助10
3秒前
冲鸭发布了新的文献求助10
3秒前
NexusExplorer应助yyy采纳,获得10
3秒前
桐桐应助plmm采纳,获得10
4秒前
4秒前
橘子ora发布了新的文献求助10
4秒前
5秒前
FFFFFFG完成签到,获得积分10
5秒前
上官若男应助典雅煎蛋采纳,获得10
6秒前
小高同学发布了新的文献求助10
6秒前
小吕完成签到,获得积分10
7秒前
简单应助殷女士采纳,获得10
7秒前
小w完成签到,获得积分10
7秒前
YANG完成签到,获得积分10
7秒前
刘宇翔完成签到,获得积分10
8秒前
hehedadahe完成签到,获得积分10
8秒前
8秒前
斯文败类应助科研通管家采纳,获得10
9秒前
顺利绿真发布了新的文献求助10
9秒前
无情洋葱应助科研通管家采纳,获得30
9秒前
科研通AI5应助科研通管家采纳,获得10
9秒前
斯文败类应助科研通管家采纳,获得10
9秒前
SciGPT应助科研通管家采纳,获得10
9秒前
SYLH应助科研通管家采纳,获得10
9秒前
NIKI0807应助科研通管家采纳,获得10
10秒前
小蘑菇应助科研通管家采纳,获得10
10秒前
大模型应助科研通管家采纳,获得10
10秒前
SYLH应助科研通管家采纳,获得10
10秒前
慕青应助科研通管家采纳,获得10
10秒前
酷波er应助科研通管家采纳,获得10
10秒前
liuliu应助科研通管家采纳,获得10
10秒前
在水一方应助科研通管家采纳,获得10
10秒前
搜集达人应助科研通管家采纳,获得10
10秒前
高分求助中
Continuum thermodynamics and material modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation 2000
Applications of Emerging Nanomaterials and Nanotechnology 1111
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Theory of Block Polymer Self-Assembly 750
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3487321
求助须知:如何正确求助?哪些是违规求助? 3075301
关于积分的说明 9140449
捐赠科研通 2767524
什么是DOI,文献DOI怎么找? 1518696
邀请新用户注册赠送积分活动 703213
科研通“疑难数据库(出版商)”最低求助积分说明 701699