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居住在高环境噪声暴露地区人群的抑郁症状:一项多层次分析。

Depressive symptoms of people living in areas with high exposure to environmental noise: a multilevel analysis.

机构信息

Department of Public Health, Graduate School, Yonsei University, Seoul, Republic of Korea.

Institute of Health Services Research, Yonsei University, 50-1 Yonsei-to, Seodaemun-gu, Seoul, 03722, Republic of Korea.

出版信息

Sci Rep. 2024 Jun 24;14(1):14450. doi: 10.1038/s41598-024-65497-0.

Abstract

Exposure and damage caused by noise have been reported in many countries around the world. However, few nationwide studies explored the association of residential environmental noise with depressive symptoms, this study aims to examine this association. The Korean Community Health Survey at the individual-level and the Korean Environmental Noise Measurement Database at the regional-level were used. A total of 30,630 individuals were eligible for the analysis. Multilevel model framework was applied to account for the clustered structure of the regional-level data in which individual-level data containing demographic characteristics and health information were nested. As a result of the analysis, Individuals living in the highest environmental noise area had a 1.55 times higher likelihood of experiencing depressive symptoms than those living in the lowest environmental noise area (95% CI, 1.04-2.31). After stratified analysis according to depressive symptom severity, individuals residing in areas with the highest environmental noise exposure had significantly higher odds of mild (aOR, 1.46; 95% CI, 1.02-2.07) and moderate symptoms (aOR, 1.70; 95% CI, 1.00-2.91). In conclusion, the higher the residential environmental noise, the higher the possibility of mild-to-moderate depressive symptoms. Our findings suggest the need for continued attention to and management of noise pollution, which has the potential to adversely affect individual's mental health.

摘要

许多国家都报告了噪声暴露和损害。然而,很少有全国性的研究探讨居住环境噪声与抑郁症状之间的关系,本研究旨在检验这种关系。本研究使用了个体层面的韩国社区健康调查和区域层面的韩国环境噪声测量数据库。共有 30630 人符合分析条件。采用多层次模型框架来解释个体层面的数据,这些数据包含了人口统计学特征和健康信息,嵌套在区域层面的数据中。分析结果表明,居住在环境噪声最高区域的个体出现抑郁症状的可能性是居住在环境噪声最低区域的个体的 1.55 倍(95%CI:1.04-2.31)。根据抑郁症状严重程度进行分层分析后,居住在环境噪声最高区域的个体出现轻度(aOR:1.46;95%CI:1.02-2.07)和中度症状(aOR:1.70;95%CI:1.00-2.91)的几率显著更高。总之,居住环境噪声越高,出现轻度至中度抑郁症状的可能性就越高。我们的研究结果表明,需要持续关注和管理噪声污染,因为它有可能对个体的心理健康产生不利影响。

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