Literature DB >> 19773107

Do birth cohorts matter? Age-period-cohort analyses of the obesity epidemic in the United States.

Eric N Reither1, Robert M Hauser, Yang Yang.   

Abstract

Many studies have cited the importance of secular changes or "period effects" as causes of the U.S. obesity epidemic. Unfortunately, relatively little attention has been devoted to the possible influence of cohort-related mechanisms. To address this current gap in the scientific literature, this investigation utilized the responses from 1.7 million participants in the 1976-2002 National Health Interview Surveys to determine how birth cohorts may have contributed to the rapid increase in the prevalence of obesity. Results from hierarchical age-period-cohort (HAPC) models confirmed that period effects are principally responsible for the U.S. obesity epidemic. However, HAPC models also demonstrated that birth cohort membership is influential. Independent of age and period effects, the predicted probability of obesity at age 25 increased by 30% for cohorts born between 1955 and 1975. Our results also showed that age, period and cohort effects varied by race/gender and educational attainment. For instance, increases in the predicted probabilities of obesity were particularly sharp for recent cohorts of Black females. Our investigation successfully demonstrated that both secular change and birth cohort membership have independently contributed to elevated odds of obesity among recent generations of Americans, suggesting that cohort-specific strategies may be needed to combat disconcertingly high rates of obesity in the U.S.

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Year:  2009        PMID: 19773107      PMCID: PMC2782961          DOI: 10.1016/j.socscimed.2009.08.040

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  44 in total

1.  Age-period-cohort models: a comparative study of available methodologies.

Authors:  C Robertson; S Gandini; P Boyle
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Review 2.  The public health impact of obesity.

Authors:  T L Visscher; J C Seidell
Journal:  Annu Rev Public Health       Date:  2001       Impact factor: 21.981

Review 3.  Environmental influences on eating and physical activity.

Authors:  S A French; M Story; R W Jeffery
Journal:  Annu Rev Public Health       Date:  2001       Impact factor: 21.981

4.  Deadweight?--The influence of obesity on longevity.

Authors:  Samuel H Preston
Journal:  N Engl J Med       Date:  2005-03-17       Impact factor: 91.245

5.  The cohort as a concept in the study of social change.

Authors:  N B Ryder
Journal:  Am Sociol Rev       Date:  1965-12

6.  Prevalence of overweight and obesity in the United States, 1999-2004.

Authors:  Cynthia L Ogden; Margaret D Carroll; Lester R Curtin; Margaret A McDowell; Carolyn J Tabak; Katherine M Flegal
Journal:  JAMA       Date:  2006-04-05       Impact factor: 56.272

7.  Quality of life in relation to overweight and body fat distribution.

Authors:  T S Han; M A Tijhuis; M E Lean; J C Seidell
Journal:  Am J Public Health       Date:  1998-12       Impact factor: 9.308

8.  Prevalence and trends in overweight among US children and adolescents, 1999-2000.

Authors:  Cynthia L Ogden; Katherine M Flegal; Margaret D Carroll; Clifford L Johnson
Journal:  JAMA       Date:  2002-10-09       Impact factor: 56.272

9.  Age, period and birth cohort effects on prevalence of overweight and obesity in Australian adults from 1990 to 2000.

Authors:  M A Allman-Farinelli; T Chey; A E Bauman; T Gill; W P T James
Journal:  Eur J Clin Nutr       Date:  2007-04-18       Impact factor: 4.016

10.  Childhood obesity - what we can learn from existing data on societal trends, part 1.

Authors:  Roland Sturm
Journal:  Prev Chronic Dis       Date:  2004-12-15       Impact factor: 2.830

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  91 in total

1.  An age-period-cohort analysis of cancer incidence among the oldest old, Utah 1973-2002.

Authors:  Heidi A Hanson; Ken R Smith; Antoinette M Stroup; C Janna Harrell
Journal:  Popul Stud (Camb)       Date:  2014-11-14

2.  Assessing the Significance of Cohort and Period Effects in Hierarchical Age-Period-Cohort Models: Applications to Verbal Test Scores and Voter Turnout in U.S. Presidential Elections.

Authors:  Steven M Frenk; Yang Claire Yang; Kenneth C Land
Journal:  Soc Forces       Date:  2013

3.  Age, period and cohort effects on adult body mass index and overweight from 1991 to 2009 in China: the China Health and Nutrition Survey.

Authors:  Lindsay M Jaacks; Penny Gordon-Larsen; Elizabeth J Mayer-Davis; Linda S Adair; Barry Popkin
Journal:  Int J Epidemiol       Date:  2013-06-14       Impact factor: 7.196

4.  Black-white disparity in disability among U.S. older adults: age, period, and cohort trends.

Authors:  Shih-Fan Lin; Audrey N Beck; Brian K Finch
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2014-07-01       Impact factor: 4.077

5.  Cohort differences in the marriage-health relationship for midlife women.

Authors:  Nicky J Newton; Lindsay H Ryan; Rachel T King; Jacqui Smith
Journal:  Soc Sci Med       Date:  2014-06-24       Impact factor: 4.634

6.  Long-term trends in adult mortality for U.S. Blacks and Whites: an examination of period- and cohort-based changes.

Authors:  Ryan K Masters; Robert A Hummer; Daniel A Powers; Audrey Beck; Shih-Fan Lin; Brian Karl Finch
Journal:  Demography       Date:  2014-12

7.  Cohort of birth modifies the association between FTO genotype and BMI.

Authors:  James Niels Rosenquist; Steven F Lehrer; A James O'Malley; Alan M Zaslavsky; Jordan W Smoller; Nicholas A Christakis
Journal:  Proc Natl Acad Sci U S A       Date:  2014-12-29       Impact factor: 11.205

8.  Benefits gained, benefits lost: comparing baby boomers to other generations in a longitudinal cohort study of self-rated health.

Authors:  Elizabeth M Badley; Mayilee Canizares; Anthony V Perruccio; Sheilah Hogg-Johnson; Monique A M Gignac
Journal:  Milbank Q       Date:  2015-03       Impact factor: 4.911

9.  The built environment and risk of obesity in the United States: racial-ethnic disparities.

Authors:  Ming Wen; Lori Kowaleski-Jones
Journal:  Health Place       Date:  2012-09-18       Impact factor: 4.078

10.  Variance Function Regression in Hierarchical Age-Period-Cohort Models: Applications to the Study of Self-Reported Health.

Authors:  Hui Zheng; Yang Yang; Kenneth C Land
Journal:  Am Sociol Rev       Date:  2011-12
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