Literature DB >> 9457007

Does body mass index adequately capture the relation of body composition and body size to health outcomes?

K B Michels1, S Greenland, B A Rosner.   

Abstract

Body mass index (BMI) has become the most commonly used index of body composition in epidemiologic research. It has displaced weight, height, and other measures of body composition. In this paper, the authors show that use of BMI alone does not always capture adequately the joint relation of body composition and body size to health outcomes, and that such use often represents implausible restrictions on the relation. Use of body mass index and height or weight and height will often be needed to describe this relation and to control confounding by these variables.

Mesh:

Year:  1998        PMID: 9457007     DOI: 10.1093/oxfordjournals.aje.a009430

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


  43 in total

1.  Familial resemblance of adiposity-related parameters: results from a health check-up population in Taiwan.

Authors:  D M Wu; Y Hong; C A Sun; P K Sung; D C Rao; N F Chu
Journal:  Eur J Epidemiol       Date:  2003       Impact factor: 8.082

2.  Improved comorbidity adjustment for predicting mortality in Medicare populations.

Authors:  Sebastian Schneeweiss; Philip S Wang; Jerry Avorn; Robert J Glynn
Journal:  Health Serv Res       Date:  2003-08       Impact factor: 3.402

3.  Can we use the Jackson and Pollock equations to predict body density/fat of obese individuals in the 21st century?

Authors:  A M Nevill; G S Metsios; A S Jackson; J Wang; J Thornton; D Gallagher
Journal:  Int J Body Compos Res       Date:  2008-09-02

4.  Proximal hip geometry is linked to several chromosomal regions: genome-wide linkage results from the Framingham Osteoporosis Study.

Authors:  S Demissie; J Dupuis; L A Cupples; T J Beck; D P Kiel; D Karasik
Journal:  Bone       Date:  2006-10-31       Impact factor: 4.398

5.  Bivariate genome-wide linkage analysis of femoral bone traits and leg lean mass: Framingham study.

Authors:  David Karasik; Yanhua Zhou; L Adrienne Cupples; Marian T Hannan; Douglas P Kiel; Serkalem Demissie
Journal:  J Bone Miner Res       Date:  2009-04       Impact factor: 6.741

6.  Coffee, tea, and caffeine consumption and incidence of colon and rectal cancer.

Authors:  Karin B Michels; Walter C Willett; Charles S Fuchs; Edward Giovannucci
Journal:  J Natl Cancer Inst       Date:  2005-02-16       Impact factor: 13.506

7.  Height and Weight Estimation From Anthropometric Measurements Using Machine Learning Regressions.

Authors:  Diego Rativa; Bruno J T Fernandes; Alexandre Roque
Journal:  IEEE J Transl Eng Health Med       Date:  2018-03-29       Impact factor: 3.316

8.  Invited Commentary: Causal diagrams and measurement bias.

Authors:  Miguel A Hernán; Stephen R Cole
Journal:  Am J Epidemiol       Date:  2009-09-15       Impact factor: 4.897

9.  Inverse association of carotenoid intakes with 4-y change in bone mineral density in elderly men and women: the Framingham Osteoporosis Study.

Authors:  Shivani Sahni; Marian T Hannan; Jeffrey Blumberg; L Adrienne Cupples; Douglas P Kiel; Katherine L Tucker
Journal:  Am J Clin Nutr       Date:  2008-12-03       Impact factor: 7.045

10.  Comparison of body mass index and waist circumference as predictors of cardiometabolic health in a population of young Canadian adults.

Authors:  Darren R Brenner; Kasia Tepylo; Karen M Eny; Leah E Cahill; Ahmed El-Sohemy
Journal:  Diabetol Metab Syndr       Date:  2010-05-12       Impact factor: 3.320

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