Evidence map›Paper›PMID 38914701›Full record

ArticleScientific reports2024

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

Il Yun, Seung Hwan Lee, Sohee Park, Suk-Yong Jang, Sung-In Jang

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Il Yun *Department of Public Health, Graduate School, Yonsei University, Seoul, Republic of Korea.
Seung Hwan Lee *Korea Health Industry Development Institute, Cheongju-si, Chungcheongbuk-do, Republic of Korea.
Sohee ParkDepartment of Biostatistics, Graduate School of Public Health, Yonsei University, Seoul, Republic of Korea.
Suk-Yong JangInstitute of Health Services Research, Yonsei University, 50-1 Yonsei-to, Seodaemun-gu, Seoul, 03722, Republic of Korea.
Sung-In JangInstitute of Health Services Research, Yonsei University, 50-1 Yonsei-to, Seodaemun-gu, Seoul, 03722, Republic of Korea. jangsi@yuhs.ac.ORCID http://orcid.org/0000-0002-0760-2878

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

DepressionEnvironmental ExposureMultilevel AnalysisNoiseAdultAgedFemaleHealth SurveysHumansMaleMiddle AgedRepublic of KoreaYoung AdultDepressive symptomsEnvironmental noiseMultilevel modelNoise pollutionPHQ-9

Identifiers

PMID38914701
PMCPMC11196651

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.