Literature DB >> 15286018

Methods of calculating deaths attributable to obesity.

Katherine M Flegal1, Barry I Graubard, David F Williamson.   

Abstract

Previously reported estimates of deaths attributable to obesity in the United States have been based on a method that only partially adjusts for confounding and does not allow for effect modification. In this study, the authors investigated the possible magnitude and direction of bias in estimating deaths attributable to obesity when such a method is used. Hypothetical examples are based on 1991 US population data and published relative risks. Incomplete adjustment for confounding of the obesity-mortality relation by age and sex led to a 17% overestimation of deaths due to obesity. Additional bias resulted from slight differences between the derivation cohort and the target population. For example, a difference of three percentage points in the proportion of people 80 years of age or older led to a 42% overestimation of deaths due to obesity. In addition, these estimates appear to be sensitive to minor differences in relative risks between a derivation cohort and the target population. A difference of 0.20 in relative risks almost doubled the number of deaths (97% overestimation). Estimates of deaths attributable to obesity can be biased if confounding and effect modification are not properly taken into account or if the relative risks are not estimated accurately.

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Year:  2004        PMID: 15286018     DOI: 10.1093/aje/kwh222

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


  41 in total

Review 1.  Estimating deaths attributable to obesity in the United States.

Authors:  Katherine M Flegal; David F Williamson; Elsie R Pamuk; Harry M Rosenberg
Journal:  Am J Public Health       Date:  2004-09       Impact factor: 9.308

2.  Response to "Biased Corrections or Biased About Corrections"

Authors:  Katherine M Flegal; Barry I Graubard; David F Williamson; Mitchell H Gail
Journal:  Obesity (Silver Spring)       Date:  2008-04-24       Impact factor: 5.002

3.  Calculating deaths attributable to obesity.

Authors:  Frank B Hu; Walter C Willett; Meir J Stampfer; Donna Spiegelman; Graham A Colditz
Journal:  Am J Public Health       Date:  2005-06       Impact factor: 9.308

4.  Using adjusted relative risks to calculate attributable fractions.

Authors:  Katherine M Flegal; David F Williamson; Barry I Graubard
Journal:  Am J Public Health       Date:  2006-01-31       Impact factor: 9.308

5.  Comparing cost-of-illness estimates from alternative approaches: an application to diabetes.

Authors:  Amanda A Honeycutt; Joel E Segel; Thomas J Hoerger; Eric A Finkelstein
Journal:  Health Serv Res       Date:  2009-02       Impact factor: 3.402

6.  Sources of differences in estimates of obesity-associated deaths from first National Health and Nutrition Examination Survey (NHANES I) hazard ratios.

Authors:  Katherine M Flegal; Barry I Graubard; David F Williamson; Mitchell H Gail
Journal:  Am J Clin Nutr       Date:  2010-01-27       Impact factor: 7.045

7.  Gender and the burden of disease attributable to obesity.

Authors:  Peter Muennig; Erica Lubetkin; Haomiao Jia; Peter Franks
Journal:  Am J Public Health       Date:  2006-07-27       Impact factor: 9.308

8.  Attacking the obesity epidemic: the potential health benefits of providing nutrition information in restaurants.

Authors:  Scot Burton; Elizabeth H Creyer; Jeremy Kees; Kyle Huggins
Journal:  Am J Public Health       Date:  2006-07-27       Impact factor: 9.308

9.  Estimated deaths attributable to social factors in the United States.

Authors:  Sandro Galea; Melissa Tracy; Katherine J Hoggatt; Charles Dimaggio; Adam Karpati
Journal:  Am J Public Health       Date:  2011-06-16       Impact factor: 9.308

10.  Mortality attributable to obesity among middle-aged adults in the United States.

Authors:  Neil K Mehta; Virginia W Chang
Journal:  Demography       Date:  2009-11
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