{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,30]],"date-time":"2026-08-30T18:29:19Z","timestamp":1788114559076,"version":"build-2803163510"},"reference-count":27,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2025,3,12]],"date-time":"2025-03-12T00:00:00Z","timestamp":1741737600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["acsjournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cancer"],"published-print":{"date-parts":[[2025,3,15]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Prior studies of participants with breast and other obesity\u2010associated cancers in the Women\u2019s Health Initiative (WHI) showed worse mortality and cardiovascular disease (CVD) outcomes for individuals with a higher number of cardiometabolic risk factors at study entry. The purpose of this analysis is to compare the relationship between cardiometabolic abnormalities and mortality among women with and without cancer in the WHI.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Women with one of five early\u2010stage obesity\u2010associated cancers (breast, colorectal, endometrial, ovarian, and non\u2010Hodgkin lymphoma) and controls without any new or prior history of cancer were selected from the WHI\u2010Life and Longevity after Cancer ancillary study. Cardiometabolic abnormalities included high waist circumference (\u226588 cm), hypertension (&gt;130\/85 mm Hg), and self\u2010reported history of diabetes and\/or elevated cholesterol. Multivariable Cox proportional hazards models (all\u2010cause mortality) and Fine\u2010Gray models (CVD and non\u2010CVD mortality) were used to evaluate the association between cardiometabolic risk factors and survival outcomes for the cancer and noncancer cohorts.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>A total of 7491 and 35,508 women were studied in the cancer and noncancer cohorts, respectively. Adjusted analyses showed that increased number of cardiometabolic abnormalities was associated with increased short\u2010term risk of all\u2010cause mortality, with the association being stronger among the noncancer \u201ccontrols\u201d compared to the cancer cohort (interaction <jats:italic>p<\/jats:italic> value\u00a0=\u00a0.02). Associations were similar between cancer cases and controls in competing risk models for CVD and non\u2010CVD mortality.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Preexisting cardiovascular abnormalities are an important predictor of adverse health outcomes among women with and without cancer in the WHI.<\/jats:p><\/jats:sec>","DOI":"10.1002\/cncr.35804","type":"journal-article","created":{"date-parts":[[2025,3,12]],"date-time":"2025-03-12T16:53:06Z","timestamp":1741798386000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["The relationship between cardiometabolic abnormalities and mortality in the Women\u2019s Health Initiative: A comparison of associations among women with cancer to women without cancer"],"prefix":"10.1002","volume":"131","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7664-6946","authenticated-orcid":false,"given":"Sreejata","family":"Raychaudhuri","sequence":"first","affiliation":[{"name":"Department of Medical Oncology Chittaranjan National Cancer Institute  Kolkata West Bengal India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eric","family":"McLaughlin","sequence":"additional","affiliation":[{"name":"Center for Biostatistics College of Medicine The Ohio State University  Columbus Ohio USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael L.","family":"Pennell","sequence":"additional","affiliation":[{"name":"Division of Biostatistics College of Public Health The Ohio State University  Columbus Ohio USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marcia","family":"Stefanick","sequence":"additional","affiliation":[{"name":"Department of Medicine Stanford University School of Medicine  Stanford California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kerryn","family":"Reding","sequence":"additional","affiliation":[{"name":"Department of Biobehavioral Nursing and Health Informatics School of Nursing University of Washington  Seattle Washington USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexi","family":"Vasbinder","sequence":"additional","affiliation":[{"name":"Department of Medicine University of Washington  Seattle Washington USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Richard K.","family":"Cheng","sequence":"additional","affiliation":[{"name":"Division of Cardiology University of Washington  Seattle Washington USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ana","family":"Barac","sequence":"additional","affiliation":[{"name":"Inova Schar Heart and Vascular and Inova Schar Cancer  Fairfax Virginia 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