{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T17:09:10Z","timestamp":1789751350888,"version":"4.0.1"},"reference-count":74,"publisher":"Human Kinetics","issue":"9","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,9,1]]},"abstract":"<jats:p><jats:italic><jats:bold>Background<\/jats:bold>:<\/jats:italic> Older adults engage in the highest levels of sedentary behavior across all age groups. Yet, the extent to which sedentary time is associated with cardiometabolic health in older adults is unclear. This systematic review and meta-analysis examined associations between daily sedentary time and cardiometabolic biomarkers in older adults. <jats:italic><jats:bold>Methods<\/jats:bold>:<\/jats:italic> Peer-reviewed articles which studied the association between daily sedentary time and \u22651 cardiometabolic biomarker in participants aged \u226560\u00a0years were eligible. Five electronic databases (PubMed, CINAHL, MEDLINE, Web of Science, and PsycINFO) were searched. Screening, data extraction, and study quality were undertaken independently by 2 reviewers. Meta-analyses were undertaken using random-effects models based on correlation and regression coefficients. Methodological quality was assessed using the Joanna Briggs Institute checklist. <jats:italic><jats:bold>Results<\/jats:bold>:<\/jats:italic> Twenty-eight articles were included with sample sizes ranging from 30 to 62,754 participants. Increasing daily sedentary time was adversely associated with body mass index (Hedge <jats:italic>g<\/jats:italic>: 0.32; <jats:italic>P<\/jats:italic>\u2009=\u2009.001), waist circumference (Hedge\u00a0<jats:italic>g<\/jats:italic>: 0.45; <jats:italic>P<\/jats:italic>\u2009&lt;\u2009.001), body fat percentage (Hedge\u00a0<jats:italic>g<\/jats:italic>: 0.61; <jats:italic>P<\/jats:italic>\u2009=\u2009.012), and fat mass (Hedge <jats:italic>g<\/jats:italic>: 0.30; <jats:italic>P<\/jats:italic>\u2009=\u2009.018). There were also unfavorable associations with systolic blood pressure (Hedge\u00a0<jats:italic>g<\/jats:italic>: 0.37; <jats:italic>P<\/jats:italic>\u2009=\u2009.047), blood glucose (Hedge\u00a0<jats:italic>g<\/jats:italic>: 0.30; <jats:italic>P<\/jats:italic>\u2009=\u2009.044), triglycerides (Hedge\u00a0<jats:italic>g<\/jats:italic>: 0.36; <jats:italic>P<\/jats:italic>\u2009=\u2009.039), and high-density lipoprotein cholesterol (Hedge\u00a0<jats:italic>g<\/jats:italic>: 0.34; <jats:italic>P<\/jats:italic>\u2009=\u2009.034). <jats:italic><jats:bold>Conclusions<\/jats:bold>:<\/jats:italic> Increased daily sedentary time is adversely associated with body composition, systolic blood pressure, and blood biomarkers in older adults. Therefore, limiting sedentary behavior should be considered an important target in this population group for improved cardiometabolic health.<\/jats:p>","DOI":"10.1123\/jpah.2025-0100","type":"journal-article","created":{"date-parts":[[2025,8,8]],"date-time":"2025-08-08T18:30:28Z","timestamp":1754677828000},"page":"1086-1105","source":"Crossref","is-referenced-by-count":8,"title":["Association Between Total Daily Sedentary Time and Cardiometabolic Biomarkers in Older Adults: A Systematic Review and Meta-Analysis"],"prefix":"10.1123","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9657-9448","authenticated-orcid":true,"given":"Rebecca L.","family":"Jones","sequence":"first","affiliation":[{"name":"Sport, Physical Activity, & Human Performance Research Group, School of Psychology, Sport Science and Wellbeing, University of Lincoln, Lincoln, United Kingdom"},{"name":"Institute of Education, Arts and Community, Federation University, Victoria, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8755-3489","authenticated-orcid":true,"given":"Daniel L.","family":"Cooper","sequence":"additional","affiliation":[{"name":"Department of Sport, Health and Exercise Sciences, Brunel University of London, Uxbridge, United Kingdom"},{"name":"Center for Physical Activity in Health and Disease, College of Health, Medicine and Life Sciences, Brunel University of London, Uxbridge, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4167-4100","authenticated-orcid":true,"given":"Julia K.","family":"Zakrzewski-Fruer","sequence":"additional","affiliation":[{"name":"Institute for Sport and Physical Activity Research, School of Sport Science and Physical Activity, University of Bedfordshire, Bedford, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3772-630X","authenticated-orcid":true,"given":"Daniel P.","family":"Bailey","sequence":"additional","affiliation":[{"name":"Department of Sport, Health and Exercise Sciences, Brunel University of London, Uxbridge, United Kingdom"},{"name":"Center for Physical Activity in Health and Disease, College of Health, Medicine and Life Sciences, Brunel University of London, Uxbridge, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"100","reference":[{"key":"r1","series-title":"Diabetes Res Clin Pract","doi-asserted-by":"publisher","DOI":"10.1016\/j.diabres.2021.109119","article-title":"IDF diabetes atlas: global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045","volume":"183","author":"Sun H","year":"2022","unstructured":"Sun H, Saeedi P, Karuranga S, et\u00a0al. 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