{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,3]],"date-time":"2026-08-03T04:46:14Z","timestamp":1785732374803,"version":"3.56.0"},"reference-count":65,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,8,3]],"date-time":"2026-08-03T00:00:00Z","timestamp":1785715200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Public Health"],"abstract":"<jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>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\u2019s source-based noise governance framework needs resident-side evidence on whether different noise sources correspond to different sleep-related risks.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Subjective noise annoyance (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u202f=\u202f0.427,\n                      <jats:italic>p<\/jats:italic>\n                      \u202f&amp;lt;\u202f0.001), self-reported residential noise-environment proxy indicators (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u202f=\u202f0.466,\n                      <jats:italic>p<\/jats:italic>\n                      \u202f&amp;lt;\u202f0.001), and overall noise exposure (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u202f=\u202f0.668, p\u202f&amp;lt;\u202f0.001) were positively associated with sleep disturbance. Sleep disturbance was negatively associated with health behavior (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u202f=\u202f\u22120.443,\n                      <jats:italic>p<\/jats:italic>\n                      \u202f&amp;lt;\u202f0.001). The indirect statistical pathway from noise exposure to health behavior through sleep disturbance was significant (effect\u202f=\u202f\u22120.296, bootstrap 95% CI [\u22120.375, \u22120.222]). 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.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>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\u2019 rest and recovery contexts.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fpubh.2026.1926467","type":"journal-article","created":{"date-parts":[[2026,8,3]],"date-time":"2026-08-03T04:26:29Z","timestamp":1785731189000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Resident-side health information for identifying community noise risks in digital public health governance"],"prefix":"10.3389","volume":"14","author":[{"given":"Yi","family":"Jiang","sequence":"first","affiliation":[{"name":"Law School, Peking University","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bin","family":"Dai","sequence":"additional","affiliation":[{"name":"Shanghai University of Engineering Science","place":["Shanghai, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhi","family":"Mo","sequence":"additional","affiliation":[{"name":"Law School, Shanghai University of Finance and Economics","place":["Shanghai, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,8,3]]},"reference":[{"key":"ref1","year":"2022"},{"key":"ref2","year":"2024"},{"key":"ref3","year":"2022"},{"key":"ref4","doi-asserted-by":"publisher","first-page":"E23","DOI":"10.5888\/pcd21.230417","article-title":"Public health surveillance in electronic health records: lessons from PCORnet","volume":"21","author":"Ghildayal","year":"2024","journal-title":"Prev Chronic Dis"},{"key":"ref5","year":"2024"},{"key":"ref6","year":"2026"},{"key":"ref7","doi-asserted-by":"publisher","first-page":"1325","DOI":"10.1016\/S0140-6736(13)61613-X","article-title":"Auditory and non-auditory effects of noise on health","volume":"383","author":"Basner","year":"2014","journal-title":"Lancet"},{"key":"ref8","doi-asserted-by":"publisher","first-page":"076001","DOI":"10.1289\/EHP10197","article-title":"Environmental noise and effects on sleep: an update to the WHO systematic review and meta-analysis","volume":"130","author":"Smith","year":"2022","journal-title":"Environ Health Perspect"},{"key":"ref9","doi-asserted-by":"publisher","first-page":"1594917","DOI":"10.3389\/fpubh.2025.1594917","article-title":"Can exercise regulate the relationship between noise pollution and the perception of physical and mental health among Chinese adults? 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