{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,28]],"date-time":"2026-10-28T02:35:45Z","timestamp":1793154945919,"version":"4.5.0"},"reference-count":45,"publisher":"American Medical Association (AMA)","issue":"9","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAMA Netw Open"],"abstract":"<jats:sec id=\"ab-zoi220870-4\">\n                    <jats:title>Importance<\/jats:title>\n                    <jats:p>Accelerated aging makes adults more vulnerable to chronic diseases and death. Whether childhood adversity is associated with accelerated aging processes, and to what extent lifestyle mediates the association, remain unknown.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi220870-5\">\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To examine the associations of childhood adversity with a phenotypic aging measure and the role of unhealthy lifestyle in mediating these associations.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi220870-6\">\n                    <jats:title>Design, Setting, and Participants<\/jats:title>\n                    <jats:p>A retrospective cohort analysis was conducted using data from adult participants in the UK Biobank baseline survey (2006-2010) and online mental health survey (2016). Data analysis was performed from September 1, 2021, to February 28, 2022.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi220870-7\">\n                    <jats:title>Exposures<\/jats:title>\n                    <jats:p>Childhood adversity, including physical neglect, emotional neglect, sexual abuse, physical abuse, and emotional abuse, was assessed retrospectively through the online mental health survey (2016).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi220870-8\">\n                    <jats:title>Main Outcomes and Measures<\/jats:title>\n                    <jats:p>A phenotypic aging measure, phenotypic age acceleration, was calculated, with higher values indicating accelerated aging. Body mass index, smoking status, alcohol consumption, physical activity, and diet were combined to construct an unhealthy lifestyle score (range, 0-5, with higher scores denoting a more unhealthy lifestyle).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi220870-9\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>A total of 127\u202f495 participants aged 40 to 69 years (mean [SD] chronological age at baseline, 56.4 [7.7] years; 70\u202f979 women [55.7%]; 123\u202f987 White participants [97.2%]) were included. Each individual type of childhood adversity and cumulative childhood adversity score were associated with phenotypic age acceleration. For instance, compared with participants who did not experience childhood adversity, those who experienced 4 (\u03b2\u2009=\u20090.296, 95% CI, 0.130-0.462) or 5 (\u03b2\u2009=\u20090.833; 95% CI, 0.537-1.129) childhood adversities had higher phenotypic age acceleration in fully adjusted models. The formal mediation analysis revealed that unhealthy lifestyle partially mediated the associations of childhood adversity with phenotypic age acceleration by 11.8% to 42.1%.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi220870-10\">\n                    <jats:title>Conclusions and Relevance<\/jats:title>\n                    <jats:p>In this retrospective cohort study, childhood adversity was significantly associated with acceleration of aging and, more importantly, unhealthy lifestyle partially mediated these associations. These findings reveal a pathway from childhood adversity to health in middle and early older adulthood through lifestyle and underscore the potential of more psychological strategies beyond lifestyle interventions to promote healthy aging.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1001\/jamanetworkopen.2022.30690","type":"journal-article","created":{"date-parts":[[2022,9,6]],"date-time":"2022-09-06T11:29:33Z","timestamp":1662463773000},"page":"e2230690","source":"Crossref","is-referenced-by-count":141,"title":["Association of Unhealthy Lifestyle and Childhood Adversity With Acceleration of Aging Among UK Biobank Participants"],"prefix":"10.1001","volume":"5","author":[{"given":"Gan","family":"Yang","sequence":"first","affiliation":[{"name":"Second Affiliated Hospital, and School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 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Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chao","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Economics and Management, Southeast University, Nanjing, Jiangsu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ning","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Social Medicine School of Public Health and Center for Clinical Big Data and Analytics Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qingyun","family":"Lu","sequence":"additional","affiliation":[{"name":"School of Public Health, Nantong University, Nantong, Jiangsu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eileen M.","family":"Crimmins","sequence":"additional","affiliation":[{"name":"Davis School of Gerontology, University of Southern California, Los 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