{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Ye Z"],"funding":["Cancer Council NSW","Cancer Australia","Cancer Council Victoria","NCATS NIH HHS","Cancer Council Tasmania","The Victorian Health Promotion Foundation","The Cancer Foundation of Western Australia","China Scholarship Council-University of Melbourne","National Breast Cancer Foundation","Cancer Council South Australia","Victorian Cancer Agency","Foundation for the National Institutes of Health","The Queensland Cancer Fund","National Cancer Institute","National Health and Medical Research Council","NCI NIH HHS","The Victorian Breast Cancer Research Consortium"],"pagination":["185-191"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8977841"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["15(3)"],"pubmed_abstract":["We considered whether weight is more informative than body mass index (BMI) = weight/height2 when predicting breast cancer risk for postmenopausal women, and if the weight association differs by underlying familial risk. We studied 6,761 women postmenopausal at baseline with a wide range of familial risk from 2,364 families in the Prospective Family Study Cohort. Participants were followed for on average 11.45 years and there were 416 incident breast cancers. We used Cox regression to estimate risk associations with log-transformed weight and BMI after adjusting for underlying familial risk. We compared model fits using the Akaike information criterion (AIC) and nested models using the likelihood ratio test. The AIC for the weight-only model was 6.22 units lower than for the BMI-only model"],"journal":["Cancer prevention research (Philadelphia, Pa.)"],"pubmed_title":["Weight is More Informative than Body Mass Index for Predicting Postmenopausal Breast Cancer Risk: Prospective Family Study Cohort (ProF-SC)."],"pmcid":["PMC8977841"],"funding_grant_id":["809195","288704","ECRF 19020","IF 17","KL2 TR001874","R01CA159868","145684","1100868","454508","UM1 CA164920","1195294","R01 CA159868","U01 CA164920"],"pubmed_authors":["Dugue PA","Milne RL","Southey MC","Andrulis IL","Winship IM","Ye Z","Chung WK","Phillips KA","Dite GS","Buys SS","Terry MB","Hopper JL","Li S","Genkinger JM","Thorne H","Giles GG","Nguyen TL","Kurian AW","Daly MB","MacInnis RJ","John EM"],"additional_accession":[]},"is_claimable":false,"name":"Weight is More Informative than Body Mass Index for Predicting Postmenopausal Breast Cancer Risk: Prospective Family Study Cohort (ProF-SC).","description":"We considered whether weight is more informative than body mass index (BMI) = weight/height2 when predicting breast cancer risk for postmenopausal women, and if the weight association differs by underlying familial risk. We studied 6,761 women postmenopausal at baseline with a wide range of familial risk from 2,364 families in the Prospective Family Study Cohort. Participants were followed for on average 11.45 years and there were 416 incident breast cancers. We used Cox regression to estimate risk associations with log-transformed weight and BMI after adjusting for underlying familial risk. We compared model fits using the Akaike information criterion (AIC) and nested models using the likelihood ratio test. The AIC for the weight-only model was 6.22 units lower than for the BMI-only model","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Mar","modification":"2026-06-03T18:36:24.35Z","creation":"2026-04-30T03:11:18.3Z"},"accession":"S-EPMC8977841","cross_references":{"pubmed":["34965921"],"doi":["10.1158/1940-6207.CAPR-21-0164"]}}