{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,18]],"date-time":"2026-10-18T01:30:06Z","timestamp":1792287006289,"version":"4.4.0"},"reference-count":56,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2025,4,15]],"date-time":"2025-04-15T00:00:00Z","timestamp":1744675200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Biological Research For Nursing"],"published-print":{"date-parts":[[2025,7]]},"abstract":"<jats:p>\n                    <jats:bold>Purpose:<\/jats:bold>\n                    To examine the association between trajectories of physical activity (PA) over 12 years and epigenetic age acceleration (EAA) in 3600 middle-aged and older adults of the Health and Retirement Study.\n                    <jats:bold>Methods:<\/jats:bold>\n                    Latent variable mixture modeling identified subgroups with similar trajectories of vigorous, moderate, and light PA from 2004 to 2016. Six EAAs, including Horvath\u2019s age acceleration, Hannum\u2019s age acceleration, GrimAge acceleration, PhenoAge acceleration, DunedinPoAm acceleration, and ZhangAA were calculated by regressing epigenetic age on chronological age in 2016. Linear regression models tested associations of PA trajectories with EAAs, controlling for age, sex, race, education, smoking, alcohol consumption, and depression.\n                    <jats:bold>Results:<\/jats:bold>\n                    Five trajectories were identified for each PA type. Moderate and light PA trajectories were stable or slightly changed over time. In contrast, vigorous PA trajectories were either consistently low (27.2%), slightly increased at a low level (14.9%), decreased from moderate to low levels (25.9%), increased to a high level (11.9%), or consistently high (20.1%). Moderate PA trajectories were negatively associated with EAA across six epigenetic clocks (\n                    <jats:italic>p<\/jats:italic>\n                    &lt; .01). Light PA trajectories were not associated with any EAA. Vigorous PA trajectories were associated with slower GrimAge acceleration (\n                    <jats:italic>p =<\/jats:italic>\n                    .004) and DunedinPoAm acceleration (\n                    <jats:italic>p =<\/jats:italic>\n                    .03). Participants that showed consistently high or increasing vigorous PA had slower EAA compared to those with consistently low vigorous PA.\n                    <jats:bold>Conclusion:<\/jats:bold>\n                    Moderate and vigorous, but not light, PA trajectories were associated with slower EAAs.\n                  <\/jats:p>","DOI":"10.1177\/10998004251334415","type":"journal-article","created":{"date-parts":[[2025,4,15]],"date-time":"2025-04-15T10:46:15Z","timestamp":1744713975000},"page":"442-452","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":6,"title":["12-Year Physical Activity Trajectories and Epigenetic Age Acceleration Among Middle-Aged and Older Adults"],"prefix":"10.1177","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7348-809X","authenticated-orcid":false,"given":"Tingting","family":"Liu","sequence":"first","affiliation":[{"name":"Florida State University College of Nursing, Tallahassee, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1784-6067","authenticated-orcid":false,"given":"Yvette P.","family":"Conley","sequence":"additional","affiliation":[{"name":"University of Pittsburgh School of Nursing, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kirk I.","family":"Erickson","sequence":"additional","affiliation":[{"name":"AdventHealth Research Institute, Orlando, FL, USA"},{"name":"Department of Psychology, University of Pittsburgh Kenneth P. Dietrich School of Arts and Sciences, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongyu","family":"Miao","sequence":"additional","affiliation":[{"name":"Florida State University College of Nursing, Tallahassee, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4051-3682","authenticated-orcid":false,"given":"Colm G.","family":"Connolly","sequence":"additional","affiliation":[{"name":"Department of Biomedical Sciences, Florida State University College of Medicine, Tallahassee, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael J.","family":"Ormsbee","sequence":"additional","affiliation":[{"name":"Institute of Sports Sciences &amp; Medicine, Florida State University College of Health and Human Sciences, Tallahassee, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Changwei","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Public Health, UT Southwestern Medical Center, Dallas, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2025,4,15]]},"reference":[{"key":"e_1_3_3_2_1","doi-asserted-by":"crossref","unstructured":"Ahmadi M. 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