Literature DB >> 23139246

Scaling of weight for height in relation to risk of cancer at different sites in a cohort of Canadian women.

Geoffrey C Kabat1, Moonseong Heo, Anthony B Miller, Thomas E Rohan.   

Abstract

Many studies have examined the associations of body mass index (weight (kg)/height (m)(2)) with risk of various cancers. However, optimal scaling of weight for height may depend on the population studied. The authors used data from a large cohort study of women (Canadian National Breast Cancer Screening Study, 1980-2000; n = 89,835) to examine how the scaling of weight for height (W/H(x)) influenced the association with risk of 19 different cancers. Cox proportional hazards models were used to estimate the hazard ratio for each cancer site with W/H(x), with x increasing from 0 to 3.0 by increments of 0.1. The correlation between weight and W/H(x) decreased monotonically with increasing x, whereas W/H(x) was minimally correlated with height when x = 1.4. W/H(x) showed significant positive associations with postmenopausal breast cancer, endometrial cancer, kidney cancer, and lung cancer in never smokers. W/H(x) was inversely associated with lung cancer in ever smokers. The value of x for which W/H(x) produced the largest statistically significant hazard ratio ranged from 0.8 (endometrial cancer) to 1.7 (postmenopausal breast cancer). For lung cancer in ever smokers, the inverse association was statistically significant for all values of x. These findings suggest that the scaling of weight for height may vary depending on the cancer site and that optimal scaling may be considerably different from W/H(2) or, alternatively, that a range of scaling should be considered when examining the association of body weight with risk of disease.

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Year:  2012        PMID: 23139246     DOI: 10.1093/aje/kws270

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  8 in total

1.  Optimal cutoffs of obesity measures in relation to cancer risk in postmenopausal women in the Women's Health Initiative Study.

Authors:  Moonseong Heo; Geoffrey C Kabat; Howard D Strickler; Juan Lin; Lifang Hou; Marcia L Stefanick; Garnet L Anderson; Thomas E Rohan
Journal:  J Womens Health (Larchmt)       Date:  2015-01-14       Impact factor: 2.681

2.  Lipid adjustment for chemical exposures: accounting for concomitant variables.

Authors:  Daniel Li; Matthew P Longnecker; David B Dunson
Journal:  Epidemiology       Date:  2013-11       Impact factor: 4.822

3.  Association of total adiposity and computed tomographic measures of regional adiposity with incident cancer risk: a prospective population-based study of older adults.

Authors:  Rachel A Murphy; Taylor F Bureyko; Iva Miljkovic; Jane A Cauley; Suzanne Satterfield; Trisha F Hue; Heidi D Klepin; Steven R Cummings; Anne B Newman; Tamara B Harris
Journal:  Appl Physiol Nutr Metab       Date:  2013-12-04       Impact factor: 2.665

4.  Risk of esophageal adenocarcinoma decreases with height, based on consortium analysis and confirmed by Mendelian randomization.

Authors:  Aaron P Thrift; Harvey A Risch; Lynn Onstad; Nicholas J Shaheen; Alan G Casson; Leslie Bernstein; Douglas A Corley; David M Levine; Wong-Ho Chow; Brian J Reid; Yvonne Romero; Laura J Hardie; Geoffrey Liu; Anna H Wu; Nigel C Bird; Marilie D Gammon; Weimin Ye; David C Whiteman; Thomas L Vaughan
Journal:  Clin Gastroenterol Hepatol       Date:  2014-02-12       Impact factor: 11.382

5.  Body Size, Metabolic Factors, and Risk of Endometrial Cancer in Black Women.

Authors:  Todd R Sponholtz; Julie R Palmer; Lynn Rosenberg; Elizabeth E Hatch; Lucile L Adams-Campbell; Lauren A Wise
Journal:  Am J Epidemiol       Date:  2016-01-27       Impact factor: 4.897

Review 6.  The association between BMI and kidney cancer risk: An updated dose-response meta-analysis in accordance with PRISMA guideline.

Authors:  Xuezhen Liu; Qi Sun; Haifeng Hou; Kai Zhu; Qian Wang; Huamin Liu; Qianqian Zhang; Long Ji; Dong Li
Journal:  Medicine (Baltimore)       Date:  2018-11       Impact factor: 1.817

7.  Adult height in relation to risk of cancer in a cohort of 22,809,722 Korean adults.

Authors:  Yoon Jin Choi; Dong Ho Lee; Kyung-Do Han; Hyuk Yoon; Cheol Min Shin; Young Soo Park; Nayoung Kim
Journal:  Br J Cancer       Date:  2019-02-19       Impact factor: 7.640

8.  Obesity prevalence by occupation in Washington State, Behavioral Risk Factor Surveillance System.

Authors:  David K Bonauto; Dayu Lu; Z Joyce Fan
Journal:  Prev Chronic Dis       Date:  2014-01-09       Impact factor: 2.830

  8 in total

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