Literature DB >> 19729352

The timing of the rise in U.S. obesity varies with measure of fatness.

Richard V Burkhauser1, John Cawley, Maximilian D Schmeiser.   

Abstract

There are several ways to measure fatness and obesity, each with its own strengths and weaknesses. The primary measure for tracking the prevalence of obesity has historically been body mass index (BMI). This paper compares long-run trends in the prevalence of obesity when obesity is defined using skinfold thickness instead of BMI, using data from the full series of U.S. National Health Examination Surveys. The results indicate that when one uses skinfold thickness rather than BMI to define obesity, the rise in the prevalence of obesity is detectable 10-20 years earlier. This underscores the importance of examining multiple measures of fatness when monitoring or otherwise studying obesity.

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Year:  2009        PMID: 19729352     DOI: 10.1016/j.ehb.2009.07.006

Source DB:  PubMed          Journal:  Econ Hum Biol        ISSN: 1570-677X            Impact factor:   2.184


  13 in total

1.  Neighborhood socioeconomic status and BMI differences by immigrant and legal status: evidence from Utah.

Authors:  Ming Wen; Thomas N Maloney
Journal:  Econ Hum Biol       Date:  2013-04-05       Impact factor: 2.184

2.  Secular trends for skinfolds differ from those for BMI and waist circumference among adults examined in NHANES from 1988-1994 through 2009-2010.

Authors:  David S Freedman; Babette S Zemel; Cynthia L Ogden
Journal:  Am J Clin Nutr       Date:  2016-11-02       Impact factor: 7.045

3.  Desire Resistance and Desire Reduction in Public Health Approaches to Obesity.

Authors:  Gareth R Dutton; Kevin R Fontaine; David B Allison
Journal:  Nutr Today       Date:  2015 Sep-Oct

4.  Measures of the intergenerational transmission of body mass index between mothers and their children in the United States, 1981-2004.

Authors:  Timothy J Classen
Journal:  Econ Hum Biol       Date:  2009-11-26       Impact factor: 2.184

5.  Birth cohort effects among US-born adults born in the 1980s: foreshadowing future trends in US obesity prevalence.

Authors:  W R Robinson; K M Keyes; R L Utz; C L Martin; Y Yang
Journal:  Int J Obes (Lond)       Date:  2012-05-01       Impact factor: 5.095

6.  Savings in Medical Expenditures Associated with Reductions in Body Mass Index Among US Adults with Obesity, by Diabetes Status.

Authors:  John Cawley; Chad Meyerhoefer; Adam Biener; Mette Hammer; Neil Wintfeld
Journal:  Pharmacoeconomics       Date:  2015-07       Impact factor: 4.981

7.  The effect of fat mass on educational attainment: examining the sensitivity to different identification strategies.

Authors:  Stephanie von Hinke Kessler Scholder; George Davey Smith; Debbie A Lawlor; Carol Propper; Frank Windmeijer
Journal:  Econ Hum Biol       Date:  2012-06-02       Impact factor: 2.184

8.  Can Obesity Cause Depression? A Pseudo-panel Analysis.

Authors:  Hyungserk Ha; Chirok Han; Beomsoo Kim
Journal:  J Prev Med Public Health       Date:  2017-06-27

9.  Misreporting and misclassification: implications for socioeconomic disparities in body-mass index and obesity.

Authors:  Åsa Ljungvall; Ulf G Gerdtham; Ulf Lindblad
Journal:  Eur J Health Econ       Date:  2013-12-21

10.  Menthol cigarette smoking and obesity in young adult daily smokers in Hawaii.

Authors:  Alyssa Marie M Antonio; Pebbles Fagan; Faith D Hamamura; Ian Joseph N Lagua; Jenny Liu; Devin J Park; Pallav Pokhrel; Thaddeus A Herzog; Ian Pagano; Kevin Cassel; Angela Sy; Dorothy Jorgensen; Tania Lynch; Crissy Kawamoto; Carol J Boushey; Adrian Franke; Mark S Clanton; Eric T Moolchan; Linda A Alexander
Journal:  Prev Med Rep       Date:  2015-10-30
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