{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T01:31:36Z","timestamp":1792114296724,"version":"4.4.0"},"reference-count":45,"publisher":"Wiley","issue":"12","license":[{"start":{"date-parts":[[2024,10,3]],"date-time":"2024-10-03T00:00:00Z","timestamp":1727913600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["dom-pubs.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Diabetes Obesity Metabolism"],"published-print":{"date-parts":[[2024,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aim<\/jats:title>\n                    <jats:p>Our study aimed to evaluate the association between the metabolic score for visceral fat (METS\u2010VF) and mortality.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We conducted a cohort study comprising 11,120 participants. We employed weighted multivariable Cox regression analysis to assess the relationship between METS\u2010VF and mortality. Restricted cubic spline analyses were used to investigate potential non\u2010linear associations. Receiver operating characteristic curves were used to evaluate the predictive value of METS\u2010VF and other obesity\u2010related indicators for mortality. Subgroup analysis and sensitivity analysis were performed to confirm the robustness of the results. Mendelian randomization analysis was utilized to assess potential causality.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Over a median follow\u2010up duration of 83\u2009months, a total of 1014 all\u2010cause deaths, 301 cardiovascular deaths,\u00a0and 262 cancer deaths occurred. For every 0.2\u2010unit increase in METS\u2010VF, the hazard ratios(HRs)\u00a0of all\u2010cause mortality, cardiovascular mortality, and cancer mortality were 1.13 [95% confidence interval (CI): 1.06, 1.20], 1.18 (95% CI: 1.06, 1.31), and 1.13 (95% CI: 1.03, 1.25), respectively. In addition, restricted cubic spline analyses revealed no significant non\u2010linear associations between METS\u2010VF and all\u2010cause mortality, cardiovascular mortality, and cancer mortality. In multivariate Cox regression models, hazard ratios of all\u2010cause mortality, cardiovascular mortality and cancer mortality were higher in the highest METS\u2010VF group compared to the reference group. Subgroup and sensitivity analyses confirmed that our results were robust. Receiver operating characteristic curves indicated that METS\u2010VF predicted mortality better than other obesity\u2010related indicators. Mendelian randomization analysis confirmed significant causal relationships.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>METS\u2010VF was positively associated with all\u2010cause mortality, cardiovascular mortality, and cancer mortality. These findings suggest that METS\u2010VF could serve as a straightforward, reliable, and cost\u2010effective marker for identifying individuals at high risk of mortality.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/dom.15959","type":"journal-article","created":{"date-parts":[[2024,10,3]],"date-time":"2024-10-03T05:03:31Z","timestamp":1727931811000},"page":"5870-5881","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":38,"title":["Association of metabolic score for visceral fat with all\u2010cause mortality, cardiovascular mortality, and cancer mortality: A prospective cohort study"],"prefix":"10.1111","volume":"26","author":[{"given":"Shanshan","family":"Jia","sequence":"first","affiliation":[{"name":"Department of Cardiology West China Hospital of Sichuan University  Chengdu 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