Literature DB >> 15964787

Are time preference and body mass index associated? Evidence from the National Longitudinal Survey of Youth.

Patricia K Smith1, Barry Bogin, David Bishai.   

Abstract

The prevalence of obesity among both adults and children in the U.S. has risen to all time highs in the past two decades. We propose that an increase in the marginal rate of time preference has contributed to increasing obesity. More people are consuming more calories than they expend because they have become less willing to trade current pleasure for potential future health benefits. Accordingly, this paper explores the association between body mass index (BMI) and time preference. We use the National Longitudinal Survey of Youth (NLSY79) to test our hypothesis that time preference and BMI are positively related. We find some evidence that there is such a positive association among black and Hispanic men and black women.

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Year:  2005        PMID: 15964787     DOI: 10.1016/j.ehb.2005.05.001

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


  14 in total

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Authors:  Vasilios D Kosteas
Journal:  Int J Health Econ Manag       Date:  2015-06-19

3.  Overweight/Obesity and Time Preference: Evidence from a Survey among Adults in the UK.

Authors:  Morro M L Touray; David R Cohen; Simon Robert Pask Williams; Mohammed Fasihul Alam; Sam Groves; Mirella Longo; Heather Gage
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4.  Health behavior and behavioral economics: economic preferences and physical activity stages of change in a low-income African-American community.

Authors:  Tammy Leonard; Kerem Shuval; Angela de Oliveira; Celette Sugg Skinner; Catherine Eckel; James C Murdoch
Journal:  Am J Health Promot       Date:  2013 Mar-Apr

Review 5.  Food prices and obesity: evidence and policy implications for taxes and subsidies.

Authors:  Lisa M Powell; Frank J Chaloupka
Journal:  Milbank Q       Date:  2009-03       Impact factor: 6.237

6.  Time Preferences Predict Mortality among HIV-Infected Adults Receiving Antiretroviral Therapy in Kenya.

Authors:  Harsha Thirumurthy; Kami Hayashi; Sebastian Linnemayr; Rachel C Vreeman; Irwin P Levin; David R Bangsberg; Noel T Brewer
Journal:  PLoS One       Date:  2015-12-18       Impact factor: 3.240

7.  Sex-specific role of education on the associations of socioeconomic status indicators with obesity risk: A population-based study in South Korea.

Authors:  Woojin Chung; Jaeyeun Kim; Seung-Ji Lim; Sunmi Lee
Journal:  PLoS One       Date:  2018-01-03       Impact factor: 3.240

8.  Gender-specific interactions between education and income in relation to obesity: a cross-sectional analysis of the Fifth Korea National Health and Nutrition Examination Survey (KNHANES V).

Authors:  Woojin Chung; Seung-Ji Lim; Sunmi Lee; Roeul Kim; Jaeyeun Kim
Journal:  BMJ Open       Date:  2017-12-28       Impact factor: 2.692

9.  Modeling the Effect of Physical Activity on Obesity in China: Evidence from the Longitudinal China Health and Nutrition Study 1989-2011.

Authors:  Tao Zhang
Journal:  Int J Environ Res Public Health       Date:  2017-07-27       Impact factor: 3.390

10.  The Impact of Childhood Obesity on Health and Health Service Use.

Authors:  Jonas Minet Kinge; Stephen Morris
Journal:  Health Serv Res       Date:  2017-05-17       Impact factor: 3.734

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