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Multivariable Cox proportional hazards models with stepwise covariate adjustments were used to assess associations. Subgroup analyses were conducted to examine whether the associations differed by sociodemographic characteristics, lifestyle factors, and major diseases.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Among 32,002 participants, 793 developed all-cause dementia, including 260 with AD and 96 with VaD. Plasma levels of resistin and IL-6 were positively associated with risks of all-cause dementia, with hazard ratios (95% confidence intervals) of 1.10 (1.03, 1.18) and 1.10 (1.04, 1.17), respectively. Leptin (0.98; 0.86, 1.12) and TNF-\u03b1 levels (1.06; 0.98, 1.13) were not significantly associated with all-cause dementia. Resistin (1.28; 1.08, 1.53) and TNF-\u03b1 levels (1.21; 1.04, 1.40) were associated with VaD risk. There was a lack of evidence for the associations between four adipokines and AD. Subgroup analyses showed stronger associations between resistin and all-cause dementia in those with high body mass index, diabetes, or stroke.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Plasma levels of resistin and IL-6 were positively associated with risks of all-cause dementia, with resistin and TNF-\u03b1 strongly linked to VaD. These findings support a potential role of adipokines in dementia pathogenesis, particularly for VaD.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/13872877251352480","type":"journal-article","created":{"date-parts":[[2025,7,2]],"date-time":"2025-07-02T03:17:18Z","timestamp":1751426238000},"page":"1475-1485","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["Plasma leptin, resistin, tumor necrosis factor-alpha, and interleukin-6 with risk of dementia: A prospective population study"],"prefix":"10.1177","volume":"106","author":[{"given":"Peiqi","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Epidemiology and Biostatistics, School of Public Health, Chengdu Medical College, Chengdu, China"},{"name":"Section of Epidemiology and Population Health &amp; Department of Gynecology and Obstetrics, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and \rChildren &amp; 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