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Propagation of Obesity across Generations: The Roles of Differential Realized Fertility and Assortative Mating by Body Mass Index

Dawson J.A.a · Dhurandhar E.J.a, c · Vazquez A.I.b · Peng B.d · Allison D.B.a, c

Author affiliations

aOffice of Energetics, bDepartment of Biostatistics, School of Public Health, and cNutrition Obesity Research Center, University of Alabama at Birmingham, Birmingham, Ala., and dDepartment of Genetics, The University of Texas MD Anderson Cancer Center, Houston, Tex., USA

Corresponding Author

John A. Dawson

Office of Energetics, School of Public Health

University of Alabama at Birmingham

Birmingham, AL 35294 (USA)

E-Mail jadawson@uab.edu

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Hum Hered 2013;75:204-212

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Abstract

Background/Aims: To quantify the extent to which the increase in obesity observed across recent generations of the American population is associated with the individual or combined effects of assortative mating (AM) for body mass index (BMI) and differential realized fertility by BMI. Methods: A Monte Carlo framework is formed and informed using data collected from the National Longitudinal Survey of Youth (NLSY). The model has 2 portions: one that generates childbirth events on an annual basis and another that produces a BMI for each child. Once the model is informed using the data, a reference distribution of offspring BMIs is simulated. We quantify the effects of our factors of interest by removing them from the model and comparing the resulting offspring BMI distributions with that of the baseline scenario. Results: An association between maternal BMI and number of offspring is evidenced in the NLSY data as well as the presence of AM. These 2 factors combined are associated with an increased mean BMI (+0.067, 95% CI: 0.056; 0.078), an increased BMI variance (+0.578, 95% CI: 0.418; 0.736) and an increased prevalence of obesity (RR 1.032, 95% CI: 1.023; 1.041) and BMIs >40 (RR 1.083, 95% CI: 1.053; 1.118) among offspring. Conclusion: Our investigation suggests that both differential realized fertility and AM by BMI appear to play a role in the increasing prevalence of obesity in America.

© 2013 S. Karger AG, Basel


References

  1. Flegal KM, Carroll MD, Kit BK, Ogden CL: Prevalence of obesity and trends in the distribution of body mass index among US adults, 1999-2010. JAMA 2012;307:491-497.
  2. Kuczmarski RJ, Flegal KM, Campbell SM, Johnson CL: Increasing prevalence of overweight among US adults. The National Health and Nutrition Examination Surveys, 1960 to 1991. JAMA 1994;272:205-211.
  3. Bouchard C: Gene-environment interactions in the etiology of obesity: defining the fundamentals. Obesity (Silver Spring) 2008;16(suppl 3):S5-S10.
  4. Poston WS 2nd, Foreyt JP: Obesity is an environmental issue. Atherosclerosis 1999;146:201-209.
  5. Ajslev TA, Angquist L, Silventoinen K, Gamborg M, Allison DB, Baker JL, et al: Assortative marriages by body mass index have increased simultaneously with the obesity epidemic. Front Genet 2012;3:125.
  6. Davey G, Ramachandran A, Snehalatha C, Hitman GA, McKeigue PM: Familial aggregation of central obesity in Southern Indians. Int J Obes Relat Metab Disord 2000;24:1523-1527.
  7. Di Castelnuovo A, Quacquaruccio G, Donati MB, de Gaetano G, Iacoviello L: Spousal concordance for major coronary risk factors: a systematic review and meta-analysis. Am J Epidemiol 2009;169:1-8.
  8. Garn SM, Sullivan TV, Hawthorne VM: Educational level, fatness, and fatness differences between husbands and wives. Am J Clin Nutr 1989;50:740-745.
    External Resources
  9. Ginsburg E, Livshits G, Yakovenko K, Kobyliansky E: Major gene control of human body height, weight and BMI in five ethnically different populations. Ann Hum Genet 1998;62:307-322.
  10. Hur YM: Assortative mating for personality traits, educational level, religious affiliation, height, weight, and body mass index in parents of a Korean twin sample. Twin Res 2003;6:467-470.
  11. Jacobson P, Torgerson JS, Sjostrom L, Bouchard C: Spouse resemblance in body mass index: effects on adult obesity prevalence in the offspring generation. Am J Epidemiol 2007;165:101-108.
  12. Katzmarzyk PT, Hebebrand J, Bouchard C: Spousal resemblance in the Canadian population: implications for the obesity epidemic. Int J Obes Relat Metab Disord 2002;26:241-246.
  13. Knuiman MW, Divitini ML, Bartholomew HC, Welborn TA: Spouse correlations in cardiovascular risk factors and the effect of marriage duration. Am J Epidemiol 1996;143:48-53.
    External Resources
  14. Knuiman MW, Divitini ML, Welborn TA, Bartholomew HC: Familial correlations, cohabitation effects, and heritability for cardiovascular risk factors. Ann Epidemiol 1996;6:188-194.
  15. Konnov MV, Dobordzhginidze LM, Deev AD, Gratsianskii NA: Spousal concordance for factors related to metabolic syndrome in families of patients with premature coronary heart disease (in Russian). Kardiologiia 2010;50:4-8.
    External Resources
  16. Maes HH, Neale MC, Eaves LJ: Genetic and environmental factors in relative body weight and human adiposity. Behav Genet 1997;27:325-351.
  17. Silventoinen K, Kaprio J, Lahelma E, Viken RJ, Rose RJ: Assortative mating by body height and BMI: Finnish twins and their spouses. Am J Hum Biol 2003;15:620-627.
  18. Speakman JR, Djafarian K, Stewart J, Jackson DM: Assortative mating for obesity. Am J Clin Nutr 2007;86:316-323.
    External Resources
  19. Zietsch BP, Verweij KJ, Heath AC, Martin NG: Variation in human mate choice: simultaneously investigating heritability, parental influence, sexual imprinting, and assortative mating. Am Nat 2011;177:605-616.
  20. Fisher RA: The Correlation between Relatives on the Supposition of Mendelian Inheritance. Transactions of the Royal Society of Edinburgh 1918;52:399-433.
  21. Redden DT, Allison DB: The effect of assortative mating upon genetic association studies: spurious associations and population substructure in the absence of admixture. Behav Genet 2006;36:678-686.
  22. McAllister EJ, Dhurandhar NV, Keith SW, Aronne LJ, Barger J, Baskin M, et al: Ten putative contributors to the obesity epidemic. Crit Rev Food Sci Nutr 2009;49:868-913.
  23. Weng HH, Bastian LA, Taylor DH Jr, Moser BK, Ostbye T: Number of children associated with obesity in middle-aged women and men: results from the health and retirement study. J Womens Health (Larchmt) 2004;13:85-91.
  24. Bastian LA, West NA, Corcoran C, Munger RG: Number of children and the risk of obesity in older women. Prev Med 2005;40:99-104.
  25. Rosenberg L, Palmer JR, Wise LA, Horton NJ, Kumanyika SK, Adams-Campbell LL: A prospective study of the effect of childbearing on weight gain in African-American women. Obes Res 2003;11:1526-1535.
  26. Bureau of Labor Statistics: National Longitudinal Surveys. United States Department of Labor. http://www.bls.gov/nls/.
  27. Central Intelligence Agency: The World Factbook. http://www.cia.gov/library/publications/the-world-factbook/fields/2018.html.
  28. World Health Organization: Physical status: the use and interpretation of anthropometry. Report of a WHO Expert Committee. Geneva, World Health Organization, 1995.
  29. The R Development Core Team: R: a language and environment for statistical computing.Vienna, R Foundation for Statistical Computing, 2012.
  30. Möller-Leimkühler AM: The gender gap in suicide and premature death or: why are men so vulnerable? Eur Arch Psychiatry Clin Neurosci 2003;253:1-8.
  31. SAS Institute Inc: SAS 9.3 Product Documentation 2013. http://support.sas.com/documentation/93/index.html.
  32. Schafer JL: Analysis of Incomplete Multivariate Data. London, Chapman & Hall, 1997.

Article / Publication Details

First-Page Preview
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Published online: September 27, 2013
Issue release date: September 2013

Number of Print Pages: 9
Number of Figures: 4
Number of Tables: 1

ISSN: 0001-5652 (Print)
eISSN: 1423-0062 (Online)

For additional information: https://www.karger.com/HHE


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