{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T06:07:44Z","timestamp":1788934064234,"version":"build-2803163510"},"reference-count":26,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T00:00:00Z","timestamp":1788912000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Nutr."],"abstract":"<jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>This study aimed to comprehensively investigate the associations between leisure-related sedentary time, physical activity (PA), and the incidence of myocardial infarction (MI) and its subtypes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This cohort study included 475,874 individuals free of MI at baseline. Daily behavioral data\u2014including leisure-related sedentary time, PA, and sleep duration\u2014along with baseline demographic characteristics were collected. Three multivariable-adjusted Cox proportional hazards models were constructed to assess the association between leisure-related sedentary time and incident MI. Additionally, a mutually adjusted Cox model incorporating all four behaviors simultaneously was used to estimate hazard ratios for inter-behavior comparisons via coefficient contrasts, evaluating whether higher PA or sleep durations, independent of other measured behaviors, were associated with reduced MI risk.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Compared with the reference group, individuals with leisure-related sedentary time exceeding 4\u202fh per day had an increased risk of MI and its subtypes after full multivariable adjustment. Mutually adjusted analyses demonstrated inverse associations with MI risk across all behaviors. Coefficient contrasts indicated that a 60-min higher duration of sleep, LPA, or MVPA\u2014holding other measured behaviors constant\u2014corresponded to hazard ratios of 0.967 (95% CI: 0.954\u20130.980) for sleep, 0.987 (95% CI: 0.964\u20131.011) for LPA, and 0.974 (95% CI: 0.953\u20130.995) for MVPA. Consistent patterns were observed for 30-min and 15-min contrasts, with estimated risk reductions ranging from approximately 1\u20136% across all comparisons.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Prolonged leisure-related sedentary time is associated with an increased risk of MI, STEMI, and NSTEMI. Independent of other daily behaviors, higher durations of PA and sleep are inversely associated with MI incidence, with benefits evident even at modest (15\u201330\u202fmin) differences in daily duration.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fnut.2026.1902990","type":"journal-article","created":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T06:00:16Z","timestamp":1788933616000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Leisure-related sedentary time and physical activity with myocardial infarction incidence: a prospective cohort study"],"prefix":"10.3389","volume":"13","author":[{"given":"Chang-Qing","family":"Sun","sequence":"first","affiliation":[{"name":"School of Nursing and Health, Zhengzhou University","place":["Zhengzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meng-Ting","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Nursing and Health, Zhengzhou University","place":["Zhengzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qian-Yu","family":"Zhou","sequence":"additional","affiliation":[{"name":"College of Public Health, Zhengzhou University","place":["Zhengzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rong","family":"Su","sequence":"additional","affiliation":[{"name":"School of Nursing and Health, Zhengzhou University","place":["Zhengzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiao-Fang","family":"Dong","sequence":"additional","affiliation":[{"name":"Department of Endocrine and Metabolic Medicine, The First Affiliated Hospital of Zhengzhou University","place":["Zhengzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jia-Jun","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Human Resources, The First Affiliated Hospital of Zhengzhou University","place":["Zhengzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiang","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Nursing and Health, Zhengzhou University","place":["Zhengzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,9,9]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"2145","DOI":"10.1016\/s0140-6736(15)61340-x","article-title":"Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990-2013: quantifying the epidemiological transition","volume":"386","author":"Murray","year":"1990","journal-title":"Lancet"},{"key":"ref2","doi-asserted-by":"publisher","first-page":"e38","DOI":"10.1161\/CIR.0000000000000350","article-title":"Heart disease and stroke statistics-2016 update: a report from the American Heart 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