{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T00:14:49Z","timestamp":1789172089007,"version":"build-2803163510"},"reference-count":40,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T00:00:00Z","timestamp":1780876800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T00:00:00Z","timestamp":1780876800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100005089","name":"Natural Science Foundation of Beijing Municipality","doi-asserted-by":"publisher","award":["7242267"],"award-info":[{"award-number":["7242267"]}],"id":[{"id":"10.13039\/501100005089","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005089","name":"Natural Science Foundation of Beijing Municipality","doi-asserted-by":"publisher","award":["L242024"],"award-info":[{"award-number":["L242024"]}],"id":[{"id":"10.13039\/501100005089","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62522119"],"award-info":[{"award-number":["62522119"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82502453"],"award-info":[{"award-number":["82502453"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002799","name":"Capital Medical University","doi-asserted-by":"publisher","award":["B2408"],"award-info":[{"award-number":["B2408"]}],"id":[{"id":"10.13039\/501100002799","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dom-pubs.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Diabetes Obesity Metabolism"],"published-print":{"date-parts":[[2026,8]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>Accurate assessment of gradual age\u2010related weight gain, a common phenomenon, is crucial for identifying brain health risks. This study investigated the associations between long\u2010term trajectories in obesity indices and brain structure and cognition.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This study included 1114 participants from the Kailuan cohort with \u2265\u20093 follow\u2010up visits during 2006\u20132018. The trajectories of body mass index (BMI), waist circumference (WC), and waist\u2010to\u2010hip ratio (WHR) were identified using group\u2010based trajectory modelling. Cognition was assessed using the Montreal Cognitive Assessment. Associations of trajectories in obesity indices with neuroimaging metrics and cognition were examined using generalized linear models. Mediation analyses were performed to assess the associations between trajectories in obesity indices, neuroimaging metrics and cognition.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Participants with high\u2010stable WC trajectory were associated with lower grey matter volume (GMV) (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u2009\u22120.331; 95% CI: \u22120.522 to \u22120.139) and higher white\u2010matter hyperintensity (WMH) (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u20090.423; 95% CI: 0.166 to 0.680). The high\u2010stable BMI trajectory showed similar associations. The high\u2010stable WC and WHR trajectories were associated with lower cognition (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u2009\u22120.909; 95% CI: \u22121.701 to \u22120.116;\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u2009\u22120.543; 95% CI: \u22121.034 to \u22120.052). GMV atrophy and high WMH statistically partially explained the association between high\u2010stable WC and WHR trajectories and cognitive decline.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Persistent central obesity is associated with adverse brain structural changes, and WC and WHR trajectories are associated with cognitive decline. Preventing persistent central obesity may help preserve brain health and cognition.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/dom.70974","type":"journal-article","created":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T01:16:45Z","timestamp":1780967805000},"page":"7562-7579","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Association of Long\u2010Term Trajectories in Obesity Indices With Neuroimaging Metrics and Cognition: A Population\u2010Based Study"],"prefix":"10.1111","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-2304-7440","authenticated-orcid":false,"given":"Yanbo","family":"Liang","sequence":"first","affiliation":[{"name":"Department of Radiology Beijing Friendship Hospital, Capital Medical University  Beijing 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