{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T14:46:35Z","timestamp":1781880395351,"version":"3.54.5"},"reference-count":54,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Diabetes &amp; Vascular Disease Research"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Depression and insulin resistance\u2014measured by the estimated glucose disposal rate (eGDR)\u2014are both linked to cardiovascular disease (CVD), but whether eGDR mediates this relationship remains unclear. We examined the mediating role of eGDR and its joint and interactive effects with depression on incident CVD.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Data were derived from the China Health and Retirement Longitudinal Study (2011\u20132020). Participants without baseline CVD and with complete eGDR and CESD-10 data were included. eGDR was calculated as 21.158 \u2212 (0.09 \u00d7 waist circumference) \u2212 (3.407 \u00d7 hypertension) \u2212 (0.551 \u00d7 HbA1c). Depressive symptoms were defined as CESD-10 \u2265 12. Cox models adjusted for demographic and lifestyle factors assessed CVD risk across four groups defined by eGDR and depression status.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      During a median 9-years follow-up, 1643 CVD events occurred. Participants with low eGDR and depression had the highest CVD risk (HR = 1.87, 95% CI: 1.40\u20132.49,\n                      <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      &lt; 0.001). Additive interaction analysis indicated biological synergy (relative excess risk = 1.37; attributable proportion = 0.32). eGDR mediated 9.82% of the depression\u2013CVD association. Interactions were stronger in older adults.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Low eGDR and depressive symptoms synergistically elevate CVD risk, highlighting the importance of integrating metabolic and psychological assessments in CVD prevention.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/14791641261416916","type":"journal-article","created":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T04:14:41Z","timestamp":1768364081000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["Interaction between insulin resistance and depression in predicting cardiovascular risk: Evidence from a longitudinal study"],"prefix":"10.1177","volume":"23","author":[{"given":"Siyu","family":"Chen","sequence":"first","affiliation":[{"name":"The First People\u2019s Hospital of Chengdu Shuangliu District\/Sichuan University West China Airport Hospital"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lijing","family":"Yang","sequence":"additional","affiliation":[{"name":"The First People\u2019s Hospital of Chengdu Shuangliu District\/Sichuan University West China Airport Hospital"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-5447-8530","authenticated-orcid":false,"given":"Yu","family":"Zhou","sequence":"additional","affiliation":[{"name":"The First People\u2019s Hospital of Chengdu Shuangliu District\/Sichuan University West China Airport Hospital"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao","family":"Yu","sequence":"additional","affiliation":[{"name":"The First People\u2019s Hospital of Chengdu Shuangliu District\/Sichuan University West China Airport 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