{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T18:45:29Z","timestamp":1792176329075,"version":"4.4.0"},"reference-count":51,"publisher":"American Medical Association (AMA)","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAMA Netw Open"],"abstract":"<jats:sec id=\"ab-zoi221516-4\">\n                    <jats:title>Importance<\/jats:title>\n                    <jats:p>Emerging evidence has suggested harmful associations of air pollutants with neurodegenerative diseases among older adults. However, little is known about outcomes regarding late-life mental disorders, such as geriatric depression.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi221516-5\">\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To investigate if long-term exposure to air pollution is associated with increased risk of late-life depression diagnosis among older adults in the US.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi221516-6\">\n                    <jats:title>Design, Setting, and Participants<\/jats:title>\n                    <jats:p>This population-based longitudinal cohort study consisted of US Medicare enrollees older than 64 years. Data were obtained from the US Centers for Medicare and Medicaid Services Chronic Conditions Warehouse. The participants were continuously enrolled in the Fee-for-Service program and both Medicare Part A and Part B. After the 5-year washout period at entry, a total of 8\u202f907\u202f422 unique individuals were covered over the study period of 2005 to 2016, who contributed to 1\u202f526\u202f690 late-onset depression diagnoses. Data analyses were performed between March 2022 and November 2022.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi221516-7\">\n                    <jats:title>Exposures<\/jats:title>\n                    <jats:p>\n                      The exposures consisted of residential long-term exposure to fine particulate matter (PM\n                      <jats:sub>2.5<\/jats:sub>\n                      ), measured in micrograms per cubic meter; nitrogen dioxide (NO\n                      <jats:sub>2<\/jats:sub>\n                      ), measured in parts per billion; and ozone (O\n                      <jats:sub>3<\/jats:sub>\n                      ), measured in parts per billion.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi221516-8\">\n                    <jats:title>Main Outcomes and Measures<\/jats:title>\n                    <jats:p>Late-life depression diagnoses were identified via information from all available Medicare claims (ie, hospital inpatient, skilled nursing facility, home health agency, hospital outpatient, and physician visits). Date of the first occurrence was obtained. Hazard ratios and percentage change in risk were estimated via stratified Cox proportional hazards models accounting for climate coexposures, neighborhood greenness, socioeconomic conditions, health care access, and urbanicity level.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi221516-9\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      A total of 8\u202f907\u202f422 Medicare enrollees were included in this study with 56.8% being female individuals and 90.2% being White individuals. The mean (SD) age at entry (after washout period) was 73.7 (4.8) years. Each 5-unit increase in long-term mean exposure to PM\n                      <jats:sub>2.5<\/jats:sub>\n                      , NO\n                      <jats:sub>2<\/jats:sub>\n                      , and O\n                      <jats:sub>3<\/jats:sub>\n                      was associated with an adjusted percentage increase in depression risk of 0.91% (95% CI, 0.02%-1.81%), 0.61% (95% CI, 0.31%- 0.92%), and 2.13% (95% CI, 1.63%-2.64%), respectively, based on a tripollutant model. Effect size heterogeneity was found among subpopulations by comorbidity condition and neighborhood contextual backgrounds.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi221516-10\">\n                    <jats:title>Conclusions and Relevance<\/jats:title>\n                    <jats:p>In this cohort study among US Medicare enrollees, harmful associations were observed between long-term exposure to air pollution and increased risk of late-life depression diagnosis.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1001\/jamanetworkopen.2022.53668","type":"journal-article","created":{"date-parts":[[2023,2,10]],"date-time":"2023-02-10T12:47:56Z","timestamp":1676033276000},"page":"e2253668","source":"Crossref","is-referenced-by-count":98,"title":["Association of Long-term Exposure to Air Pollution With Late-Life Depression in Older Adults in the US"],"prefix":"10.1001","volume":"6","author":[{"given":"Xinye","family":"Qiu","sequence":"first","affiliation":[{"name":"Department of Environmental Health, Harvard T.H. 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