Literature DB >> 24893710

Body mass index categories in observational studies of weight and risk of death.

Katherine M Flegal, Brian K Kit, Barry I Graubard.   

Abstract

The World Health Organization (Geneva, Switzerland) and the National Heart, Lung, and Blood Institute (Bethesda, Maryland) have developed standard categories of body mass index (BMI) (calculated as weight (kg)/height (m)(2)) of less than 18.5 (underweight), 18.5-24.9 (normal weight), 25.0-29.9 (overweight), and 30.0 or more (obesity). Nevertheless, studies of BMI and the risk of death sometimes use nonstandard BMI categories that vary across studies. In a meta-analysis of 8 large studies that used nonstandard BMI categories and were published between 1999 and 2014 and included 5.8 million participants, hazard ratios tended to be small throughout the range of overweight and normal weight. Risks were similar between subjects of high-normal weight (BMI of approximately 23.0-24.9) and those of low overweight (BMI of approximately 25.0-27.4). In an example using national survey data, minor variations in the reference category affected hazard ratios. For example, choosing high-normal weight (BMI of 23.0-24.9) instead of standard normal weight (BMI of 18.5-24.9) as the reference category produced higher nonsignificant hazard ratios (1.05 vs. 0.97 for men and 1.06 vs. 1.02 for women) for the standard overweight category (BMI of 25.0-29.9). Use of the standard BMI groupings avoids problems of ad hoc and post hoc category selection and facilitates between-study comparisons. The ways in which BMI data are categorized and reported may shape inferences about the degree of risk for various BMI categories. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health 2014. This work is written by (a) US Government employee(s) and is in the public domain in the US.

Entities:  

Keywords:  body mass index; body weight; epidemiologic methods; mortality; obesity; overweight

Mesh:

Year:  2014        PMID: 24893710      PMCID: PMC4732880          DOI: 10.1093/aje/kwu111

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


  45 in total

Review 1.  Associations between obesity and health conditions may be overestimated if self-reported body mass index is used.

Authors:  A Chiolero; I Peytremann-Bridevaux; F Paccaud
Journal:  Obes Rev       Date:  2007-07       Impact factor: 9.213

2.  Issues related to modeling the body mass index-mortality association: the shape of the association and the effects of smoking status.

Authors:  R A Durazo-Arvizu; R S Cooper
Journal:  Int J Obes (Lond)       Date:  2008-08       Impact factor: 5.095

3.  Body-mass index and mortality among 1.46 million white adults.

Authors:  Amy Berrington de Gonzalez; Patricia Hartge; James R Cerhan; Alan J Flint; Lindsay Hannan; Robert J MacInnis; Steven C Moore; Geoffrey S Tobias; Hoda Anton-Culver; Laura Beane Freeman; W Lawrence Beeson; Sandra L Clipp; Dallas R English; Aaron R Folsom; D Michal Freedman; Graham Giles; Niclas Hakansson; Katherine D Henderson; Judith Hoffman-Bolton; Jane A Hoppin; Karen L Koenig; I-Min Lee; Martha S Linet; Yikyung Park; Gaia Pocobelli; Arthur Schatzkin; Howard D Sesso; Elisabete Weiderpass; Bradley J Willcox; Alicja Wolk; Anne Zeleniuch-Jacquotte; Walter C Willett; Michael J Thun
Journal:  N Engl J Med       Date:  2010-12-02       Impact factor: 91.245

Review 4.  Dangers of using "optimal" cutpoints in the evaluation of prognostic factors.

Authors:  D G Altman; B Lausen; W Sauerbrei; M Schumacher
Journal:  J Natl Cancer Inst       Date:  1994-06-01       Impact factor: 13.506

5.  Outcome-oriented cutpoints in analysis of quantitative exposures.

Authors:  G Schulgen; B Lausen; J H Olsen; M Schumacher
Journal:  Am J Epidemiol       Date:  1994-07-15       Impact factor: 4.897

6.  Use of spline regression in an analysis of maternal prepregnancy body mass index and adverse birth outcomes: does it tell us more than we already know?

Authors:  Suzanne M Gilboa; Adolfo Correa; Clinton J Alverson
Journal:  Ann Epidemiol       Date:  2008-01-16       Impact factor: 3.797

7.  Categorisation of continuous exposure variables revisited. A response to the Hyperglycaemia and Adverse Pregnancy Outcome (HAPO) Study.

Authors:  Kathrine F Frøslie; Jo Røislien; Petter Laake; Tore Henriksen; Elisabeth Qvigstad; Marit B Veierød
Journal:  BMC Med Res Methodol       Date:  2010-11-09       Impact factor: 4.615

8.  Height and body mass index in relation to total mortality.

Authors:  Anders Engeland; Tone Bjørge; Randi Marie Selmer; Aage Tverdal
Journal:  Epidemiology       Date:  2003-05       Impact factor: 4.822

Review 9.  Association of all-cause mortality with overweight and obesity using standard body mass index categories: a systematic review and meta-analysis.

Authors:  Katherine M Flegal; Brian K Kit; Heather Orpana; Barry I Graubard
Journal:  JAMA       Date:  2013-01-02       Impact factor: 56.272

Review 10.  Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): explanation and elaboration.

Authors:  Jan P Vandenbroucke; Erik von Elm; Douglas G Altman; Peter C Gøtzsche; Cynthia D Mulrow; Stuart J Pocock; Charles Poole; James J Schlesselman; Matthias Egger
Journal:  PLoS Med       Date:  2007-10-16       Impact factor: 11.069

View more
  47 in total

1.  The skinny on BMI and mortality.

Authors:  Braiden Hellec; Denise Campbell-Scherer; G Michael Allan
Journal:  Can Fam Physician       Date:  2015-11       Impact factor: 3.275

2.  Flegal et al. reply.

Authors:  Katherine M Flegal; Brian K Kit; Barry I Graubard
Journal:  Am J Epidemiol       Date:  2014-11-06       Impact factor: 4.897

3.  Overweight versus obese: different risk and different management.

Authors:  Ann Barnes
Journal:  Tex Heart Inst J       Date:  2015-06-01

Review 4.  Association between Body Mass Index and Cancer Survival in a Pooled Analysis of 22 Clinical Trials.

Authors:  Heather Greenlee; Joseph M Unger; Michael LeBlanc; Scott Ramsey; Dawn L Hershman
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-12-16       Impact factor: 4.254

5.  Obesity and Nursing Home Care in the United States: A Systematic Review.

Authors:  John Alexander Harris; Nicholas George Castle
Journal:  Gerontologist       Date:  2019-05-17

6.  Bias in Hazard Ratios Arising From Misclassification According to Self-Reported Weight and Height in Observational Studies of Body Mass Index and Mortality.

Authors:  Katherine M Flegal; Brian K Kit; Barry I Graubard
Journal:  Am J Epidemiol       Date:  2018-01-01       Impact factor: 4.897

7.  Weight Discrimination and Risk of Mortality.

Authors:  Angelina R Sutin; Yannick Stephan; Antonio Terracciano
Journal:  Psychol Sci       Date:  2015-09-29

8.  Effects of categorization and self-report bias on estimates of the association between obesity and mortality.

Authors:  Samuel H Preston; Ezra Fishman; Andrew Stokes
Journal:  Ann Epidemiol       Date:  2015-08-19       Impact factor: 3.797

9.  Relationship of prediagnostic body mass index with survival after colorectal cancer: Stage-specific associations.

Authors:  Jonathan M Kocarnik; Andrew T Chan; Martha L Slattery; John D Potter; Jeffrey Meyerhardt; Amanda Phipps; Hongmei Nan; Tabitha Harrison; Thomas E Rohan; Lihong Qi; Lifang Hou; Bette Caan; Candyce H Kroenke; Howard Strickler; Richard B Hayes; Robert E Schoen; Dawn Q Chong; Emily White; Sonja I Berndt; Ulrike Peters; Polly A Newcomb
Journal:  Int J Cancer       Date:  2016-05-14       Impact factor: 7.396

10.  Muscle Quality and Myosteatosis: Novel Associations With Mortality Risk: The Age, Gene/Environment Susceptibility (AGES)-Reykjavik Study.

Authors:  Ilse Reinders; Rachel A Murphy; Ingeborg A Brouwer; Marjolein Visser; Lenore Launer; Kristin Siggeirsdottir; Gudny Eiriksdottir; Vilmundur Gudnason; Palmi V Jonsson; Thomas F Lang; Tamara B Harris
Journal:  Am J Epidemiol       Date:  2015-12-06       Impact factor: 4.897

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.