{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,28]],"date-time":"2026-05-28T07:02:15Z","timestamp":1779951735297,"version":"3.53.1"},"reference-count":48,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,5,28]],"date-time":"2026-05-28T00:00:00Z","timestamp":1779926400000},"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. Psychol."],"abstract":"\n Purpose<\/jats:title>\n Guided by Social Cognitive Theory and the Transtheoretical Model, this study examined differences in physical activity (PA) determinants, 24-h movement behaviors, and cardiovascular fitness (CRF) across stages of change among Chinese college students. Associations between PA determinants, movement behaviors, and CRF were also examined.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n \n Participants were 220 Chinese college students (105 males;\n M<\/jats:italic>\n age\u202f=\u202f20.15\u202f\u00b1\u202f1.01\u202fyears). Students completed validated questionnaires assessing PA determinants (i.e., PA strategies, decisional balance, self-efficacy, social support, enjoyment, and perceived environment). One week of 24-h movement behaviors (sedentary time, light PA, moderate-to-vigorous PA [MVPA], sleep duration and sleep efficiency) was assessed using ActiGraph Link accelerometers. CRF was assessed using a standardized 3-min step test.\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n Participants classified in higher stages of PA behavior change reported significantly more favorable PA determinants than those in lower stages, including higher self-efficacy (\n p<\/jats:italic>\n \u202f&lt;\u202f0.01,\n \u019e<\/jats:italic>\n 2<\/jats:sup>\n \u202f=\u202f0.12), decisional balance (\n p<\/jats:italic>\n \u202f&lt;\u202f0.01,\n \u019e<\/jats:italic>\n 2<\/jats:sup>\n \u202f=\u202f0.034), PA strategies (\n p<\/jats:italic>\n \u202f&lt;\u202f0.01,\n \u019e<\/jats:italic>\n 2<\/jats:sup>\n \u202f=\u202f0.05), friend support (\n p<\/jats:italic>\n \u202f&lt;\u202f0.01,\n \u019e<\/jats:italic>\n 2<\/jats:sup>\n \u202f=\u202f0.06), and enjoyment (\n p<\/jats:italic>\n \u202f&lt;\u202f0.01,\n \u019e<\/jats:italic>\n 2<\/jats:sup>\n \u202f=\u202f0.07). No significant stage-group differences were observed for accelerometry-derived measured movement behaviors or CRF. Regression analyses showed that MVPA (\n t<\/jats:italic>\n \u202f=\u202f1.96,\n p<\/jats:italic>\n \u202f=\u202f0.05) and self-efficacy (\n t<\/jats:italic>\n \u202f=\u202f1.84,\n p<\/jats:italic>\n \u202f=\u202f0.06) were the strongest contributors to CRF. Light PA (\n t<\/jats:italic>\n \u202f=\u202f16.73,\n p<\/jats:italic>\n \u202f&lt;\u202f0.01) positively predicted with MVPA, whereas sleep efficiency was negatively predicted with MVPA (\n t<\/jats:italic>\n \u202f=\u202f\u22122.00,\n p<\/jats:italic>\n \u202f&lt;\u202f0.01). Additionally, MVPA and sedentary behavior (\n t<\/jats:italic>\n \u202f=\u202f\u22124.87,\n p<\/jats:italic>\n \u202f&lt;\u202f0.01) were significant negative predictors for sleep efficiency.\n <\/jats:p>\n <\/jats:sec>\n \n Conclusion<\/jats:title>\n College students with high stages of PA behavior change demonstrated more positive psychological determinants of PA, though objective activity levels and fitness did not differ. MVPA and self-efficacy emerged as key influences on CRF, highlighting the importance of motivational and behavioral regulation strategies in college-based PA promotion and support the development of stage-tailored, theory-informed PA interventions for college students.<\/jats:p>\n <\/jats:sec>","DOI":"10.3389\/fpsyg.2026.1810709","type":"journal-article","created":{"date-parts":[[2026,5,28]],"date-time":"2026-05-28T06:15:23Z","timestamp":1779948923000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Physical activity determinants, 24-h movement behaviors, and cardiovascular fitness in young adults: an integrated theoretical model perspective"],"prefix":"10.3389","volume":"17","author":[{"given":"Dandong","family":"Gu","sequence":"first","affiliation":[{"name":"School of Physical Education, Hengyang Normal University, Hengyang","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zarmina","family":"Amin","sequence":"additional","affiliation":[{"name":"Department of Kinesiology, Recreation, and Sport Studies, University of Tennessee-Knoxville","place":["Knoxville, TN, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John","family":"Oginni","sequence":"additional","affiliation":[{"name":"Department of Kinesiology, Recreation, and Sport Studies, University of Tennessee-Knoxville","place":["Knoxville, TN, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jessh","family":"Mavoungou","sequence":"additional","affiliation":[{"name":"Department of Kinesiology, Recreation, and Sport Studies, University of Tennessee-Knoxville","place":["Knoxville, TN, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zan","family":"Gao","sequence":"additional","affiliation":[{"name":"Department of Kinesiology, Recreation, and Sport Studies, University of Tennessee-Knoxville","place":["Knoxville, TN, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,5,28]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"8664","DOI":"10.1007\/s12144-025-07712-3","article-title":"The role of theoretical models in explaining physical activity among college students: a systematic review","volume":"44","author":"Alshagrawi","year":"2025","journal-title":"Curr. 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