{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T12:12:03Z","timestamp":1787314323565,"version":"build-2736575974"},"reference-count":50,"publisher":"Oxford University Press (OUP)","issue":"6","license":[{"start":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T00:00:00Z","timestamp":1771286400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"DOI":"10.13039\/501100021171","name":"Guangdong Basic and Applied Basic Research Foundation","doi-asserted-by":"publisher","award":["2025A1515011403"],"award-info":[{"award-number":["2025A1515011403"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021171","name":"Guangdong Basic and Applied Basic Research Foundation","doi-asserted-by":"publisher","award":["2023A1515012522"],"award-info":[{"award-number":["2023A1515012522"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,5,7]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Air pollution\u2019s influence on sarcopenia progression remains insufficiently studied.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Using the UK Biobank cohort, we included 50381 participants initially free of probable sarcopenia and sarcopenia. Exposures to PM2.5, PM10, PM2.5-10, NO2, and NOx for each transition stage were estimated at each participant\u2019s residential addresses using data from the UK\u2019s department. Parametric g-computation was applied to estimate cumulative risks under hypothetical pollution reduction scenarios. Multistate models were used to examine associations between air pollution and sarcopenia progression.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>During 8.98\u2009years (median), 4445 (8.8%) participants developed probable sarcopenia; 17 (0.4%) progressed to sarcopenia. Parametric g-computation estimated that a simultaneous 10% reduction in all 4 pollutants would decrease the 15-year cumulative risk (risk ratio [RR] = 0.93; risk difference [RD] = -2.21). In multistate models, PM2.5 increased risks of probable sarcopenia (hazard ratio [HR]: 1.06; 95% confidence interval [CI]: 1.02-1.10), sarcopenia (HR: 1.18; 95% CI: 1.04-1.34), baseline to death (HR: 1.11; 95% CI: 1.02-1.20,) and probable sarcopenia to death (HR: 1.24; 95% CI: 1.04-1.50). NO2 showed similar associations: probable sarcopenia (HR: 1.06; 95% CI: 1.02-1.10), sarcopenia (HR: 1.23; 95% CI: 1.09-1.39), baseline to death (HR: 1.10; 95% CI: 1.01-1.19), and probable sarcopenia to death (HR: 1.23; 95% CI: 1.01-1.50). NOx increased risks for probable sarcopenia (HR: 1.06; 95% CI: 1.03-1.09), sarcopenia (HR: 1.15; 95% CI: 1.04-1.26), and probable sarcopenia to death (HR: 1.22; 95% CI: 1.04-1.43). Stratified analyses indicated effect modification by sex, household income, and body mass index (BMI).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>These findings highlight the critical role of clean air in preventing and delaying sarcopenia progression, especially in vulnerable populations.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/gerona\/glag052","type":"journal-article","created":{"date-parts":[[2026,2,15]],"date-time":"2026-02-15T12:34:10Z","timestamp":1771158850000},"source":"Crossref","is-referenced-by-count":1,"title":["The influence of multiple air pollutants on sarcopenia progression: a multi-state analysis in a prospective cohort"],"prefix":"10.1093","volume":"81","author":[{"given":"Ni","family":"Sang","sequence":"first","affiliation":[{"name":"School of Nursing, Sun Yat-sen University , 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