Rojas-Sánchez Oscar Alberto, Ochoa-Villegas Jonathan, Marín Diana, Piñeros-Jiménez Juan Gabriel, Rodriguez-Villamizar Laura Andrea
Instituto Nacional de Salud, Bogotá, Colombia.
Universidad de San Buenaventura, Medellín, Colombia.
Cad Saude Publica. 2025 Mar 31;41(2):e00233423. doi: 10.1590/0102-311XES233423. eCollection 2025.
Environmental noise is an urban air pollutant in metropolises. This study aimed to identify the association between differential exposure to environmental noise and sleep quality in adults. This cross-sectional study used stratified random sampling of households according to two noise exposure categories (high [≥ 65dBA] and low [≤ 50dBA]), as specified by the urban noise map. People aged over 18 years, who slept and spent most of their time in the place during the last six months were selected, and people undergoing treatment for mental or communication disorders were excluded. A self-administered questionnaire was used to collect sociodemographic, clinical, lifestyle, noise exposure, and subjective sleep quality characteristics (Pittsburgh Sleep Quality Index). Statistical analysis included chi-squared tests and Spearman's correlations, and a Poisson regression model with robust variance was used. The analyses were performed in Stata v12. A total of 221 participants were included, 53.4% female, with a mean age of 57 years (IQR: 35-67), 52.9% workers and 45.9% with higher education. It was observed that 47.5% of the participants had some underlying pathology. Residents of places with high noise exposure had a 13% higher prevalence of poor sleep quality compared to those in places with low exposure (PR = 1.13; 95%CI: 0.99-1.28). Although affecting sleep quality, the ways and extent with which environmental noise affects individuals seems to be influenced by noise sensitivity, length of exposure, sociodemographic variables, lifestyle habits, and mental health disorders.
环境噪声是大都市中的一种城市空气污染物。本研究旨在确定成年人中环境噪声差异暴露与睡眠质量之间的关联。这项横断面研究根据城市噪声地图规定的两种噪声暴露类别（高[≥65分贝A]和低[≤50分贝A]）对家庭进行分层随机抽样。选择过去六个月内在该场所睡眠并度过大部分时间的18岁以上人群，排除正在接受精神或沟通障碍治疗的人群。使用自填式问卷收集社会人口统计学、临床、生活方式、噪声暴露和主观睡眠质量特征（匹兹堡睡眠质量指数）。统计分析包括卡方检验和斯皮尔曼相关性分析，并使用具有稳健方差的泊松回归模型。分析在Stata v12中进行。共纳入221名参与者，其中53.4%为女性，平均年龄57岁（四分位间距：35 - 67岁），52.9%为工人，45.9%拥有高等教育学历。观察到47.5%的参与者有一些潜在病理状况。与低噪声暴露地区的居民相比，高噪声暴露地区的居民睡眠质量差的患病率高13%（患病率比=1.13；95%置信区间：0.99 - 1.28）。尽管环境噪声会影响睡眠质量，但环境噪声影响个体的方式和程度似乎受到噪声敏感性、暴露时长、社会人口统计学变量、生活方式习惯和精神健康障碍的影响。
