Resident-side health information for identifying community noise risks in digital public health governance.

Authors

Yi Jiang, Bin Dai, Zhi Mo

Published in

Frontiers in public health. Volume 14. Pages 1926467. Epub Aug 03, 2026.

Abstract

Digital public health governance needs to identify community-level health risks beyond data generated after residents enter medical-service settings. In this study, resident-side health information refers to resident-reported information on residential noise perception, sleep disturbance, and health behavior that can supplement medical-service data. Noise pollution is a frequently perceived environmental problem in everyday life, and China's source-based noise governance framework needs resident-side evidence on whether different noise sources correspond to different sleep-related risks.
This study used cross-sectional questionnaire data from urban residents in China. A total of 451 valid responses were retained. Noise exposure was measured through subjective noise annoyance and self-reported residential noise-environment proxy indicators. Sleep disturbance and health behavior were also measured through self-reported items. The analysis included descriptive statistics, reliability and validity tests, correlation analysis, regression models, mediation analysis, and exploratory comparisons across source-specific noise annoyance.
Subjective noise annoyance (β = 0.427, p < 0.001), self-reported residential noise-environment proxy indicators (β = 0.466, p < 0.001), and overall noise exposure (β = 0.668, p < 0.001) were positively associated with sleep disturbance. Sleep disturbance was negatively associated with health behavior (β = -0.443, p < 0.001). The indirect statistical pathway from noise exposure to health behavior through sleep disturbance was significant (effect = -0.296, bootstrap 95% CI [-0.375, -0.222]). Source-specific comparisons showed more stable associations for construction and renovation noise, traffic noise, and social-life noise, whereas industrial noise did not show a stable association in the present sample.
In this cross-sectional self-reported sample, community noise exposure was linked to health behavior through sleep disturbance as a statistical pathway rather than as causal evidence. The findings provide exploratory resident-side evidence for identifying community noise risks and suggest that source-specific noise governance should consider how different noise sources enter residents' rest and recovery contexts.

PMID:
42609343
Bibliographic data and abstract were imported from PubMed on 18 Aug 2026.

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