{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T04:01:46Z","timestamp":1780459306733,"version":"3.54.1"},"reference-count":48,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2026,4,5]],"date-time":"2026-04-05T00:00:00Z","timestamp":1775347200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,4,5]],"date-time":"2026-04-05T00:00:00Z","timestamp":1775347200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["dom-pubs.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Diabetes Obesity Metabolism"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>Based on self\u2010determination theory (SDT), this study aimed to identify latent profiles of health motivation characteristics among young and middle\u2010aged individuals with prediabetes and to examine their associations with self\u2010management behaviours and metabolic risk indicators.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This cross\u2010sectional study recruited individuals with prediabetes from January 2024 to January 2025 using a convenience sampling method, enrolling 309 participants. Health behaviour motivation, basic psychological needs, prediabetes\u2010related disease knowledge and self\u2010management were assessed using validated questionnaires. Latent profile analysis (LPA) was conducted to identify distinct subgroups. Multinomial logistic regression was used to examine demographic, lifestyle and clinical factors associated with profile membership.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Three types of health motivation characteristics were identified: high psychological need satisfaction\u2013autonomous motivation profile (24.0%), moderate psychological need satisfaction\u2013externally controlled motivation dominant profile (15.0%) and low psychological need satisfaction\u2013low motivation profile (61.0%). After adjustment, BMI, comorbidity history and occupation were significantly associated with profile membership, whereas distance to primary healthcare facilities showed a non\u2010robust pattern.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Significant heterogeneity exists in health motivation characteristics among young and middle\u2010aged individuals with prediabetes, with the low psychological need satisfaction\u2013low motivation profile representing the largest proportion. Incorporating motivation\u2010oriented stratification into diabetes prevention strategies may provide a useful framework for delivering tailored interventions and supporting more sustainable self\u2010management.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/dom.70726","type":"journal-article","created":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T05:07:02Z","timestamp":1775452022000},"page":"5195-5207","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Distinct Motivational Profiles Based on Self\u2010Determination Theory Among Young and Middle\u2010Aged Adults With Prediabetes: Associations With Self\u2010Management"],"prefix":"10.1111","volume":"28","author":[{"given":"Lingxue","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Endocrinology, The Central Hospital of Wuhan, Tongji Medical College Huazhong University of Science and Technology  Wuhan 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