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Epidemic obesity: are genetic factors involved via increased rates of assortative mating?

Abstract

OBJECTIVE: Prevalence rates of obesity have been increasing in several countries over the past two decades. Mainly secular changes in energy intake and expenditure have been invoked to underly the increasing rates; genetic factors have not been considered because of the very recency of this phenomenon. We hypothesize that genetic factors might very well be involved via an increased rate of assortative mating between obese individuals. We speculate that the recent upsurge in social stigmatization of obese individuals underlies the hypothesized increase in assortative mating.

DESIGN: To accumulate evidence for our hypothesis we analysed deduced rates of assortative mating among parents of extremely obese children and adolescents, who belonged to two different large study groups (n=201 and n=270). For this purpose we calculated parental body mass indices (BMIs) based on (a) measured current heights and weights, (b) self-reported current heights and weights, and finally (c) measured current heights and recalled weights at ages 20 and 30, respectively. BMI centiles were determined which in turn were attributed to the respective BMI decile. Deduced rates of assortative mating were evaluated in bivariate histograms of the paternal and maternal BMI deciles.

RESULTS: High rates of assortative mating were observed as deduced from the bivariate histograms, which revealed a fairly consistent pattern. Thus, in the first study group almost 35% of the parental pairs had a BMI in the tenth decile; over 50% of the mothers and fathers had a BMI in this top decile. Recalled parental BMIs at ages 20 and 30 also clustered in the upper decile. These results were basically replicated in the second study group. In addition, parental loading on the tenth decile was shown to be higher for the subgroup of children and adolescents who had a BMI equal to or exceeding the highest BMI of the population-based age and gender matched control group.

CONCLUSIONS: Our results indicate that assortative mating is common among parents of extremely obese children and adolescents, ascertained between 1995 and 1997. In addition, the parental loading on the tenth decile is most prominent for the most obese children. Whereas we are unable to document an increased rate of assortative mating, we interpret our results as being consistent with the hypothesis that an increased rate of assortative mating has contributed to the recent rise in obesity rates in several countries. Thus, assortative mating warrants further studies to assess its impact on obesity prevalence rates through both genetic and non-genetic mechanisms. Our results suggest that assortative mating might especially increase the rates for extreme obesity.

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References

  1. Taubes G . Demographics—as obesity rates rise, experts struggle to explain why Science 1998 280: 1367–1368.

    Article  CAS  Google Scholar 

  2. Troiano RP, Flegal KM, Kuczmarski RJ, Campbell SM, Johnson CL . Overweight prevalence and trends for children and adolescents: the National Health and Nutrition Examination Surveys, 1963 to 1991 Arch Pediatr Med 1995 149: 1085–1091.

    Article  CAS  Google Scholar 

  3. Barth N, Ziegler A, Himmelmann GW, Coners H, Wabitsch M, Hennighausen K, Mayer H, Remschmidt H, Schäfer H, Hebebrand J . Significant weight gains in a clinical sample of obese children and adolescents between 1985 and 1995 Int J Obes 1997 21: 122–126.

    Article  Google Scholar 

  4. Prentice AM, Jebb SA . Obesity in Britain: Gluttony or sloth? Br Med J 1995 311: 437–439.

    Article  CAS  Google Scholar 

  5. Hinney A, Barth N, Ziegler A, von Prittwitz S, Hamann A, Hennighausen K, Lentes K-U, Heils A, Rosenkranz K, Roth H, Coners H, Mayer H, Herzog W, Siegfried A, Lehmkuhl G, Poustka F, Schmidt MH, Schäfer H, Grzeschik K-H, Pirke KM, Lesch KP, Remschmidt H, Hebebrand J . Serotonin transporter gene-linked polymorphic region: allele distributions in relationship to body weight and in anorexia nervosa Life Sci 1997 61:PL: 295–303.

    Google Scholar 

  6. Hinney A, Becker I, Heibult O, Nottebom K, Schmidt A, Ziegler A, Mayer H, Siegfried W, Blum WF, Remschmidt H, Hebebrand J . Systematic mutation screening of the pro-opiomelanocortin gene: Identification of several genetic variants including three different insertions, one nonsense and two missense point mutations in probands of different weight extremes J Clin Endocrinol Metab 1998 83: 3737–3741.

    Article  CAS  Google Scholar 

  7. Hinney A, Schmidt K, Nottebom O, Heibült I, Becker A, Ziegler G, Gerber M, Sina T, Görg H, Mayer W, Siegfried M, Fichter H, Remschmidt J, Hebebrand . Several mutations in the melanocortin-4 receptor gene including a nonsense and a frameshift mutation associated with dominantly inherited obesity in humans J Clin Encocrinol Metab 1999 84: 1483–1486.

    Article  CAS  Google Scholar 

  8. Rosenkranz K, Hinney A, Ziegler A, von Prittwitz S, Barth N, Roth H, Mayer H, Siegfried W, Lehmkuhl G, Poustka F, Schmidt M, Schäfer H, Remschmidt H . Screening for mutations in the neuropeptide Y Y5 receptor gene in cohorts belonging to different weight extremes Int J Obes 1998 22: 157–163.

    Article  CAS  Google Scholar 

  9. Roth H, Korn T, Rosenkranz K, Hinney A, Ziegler A, Kunz J, Siegfried W, Mayer H, Hebebrand J, Grzeschik K-H . Transmission disequilibrium and sequence variants at the leptin receptor gene in extremely obese German children and adolescents Hum Genet 1998 103: 540–546.

    Article  CAS  Google Scholar 

  10. Hebebrand J, Heseker H, Himmelmann GW, Schäfer H, Remschmidt H . Altersperzentilen für den Body Mass Index aus Daten der Nationalen Verzehrsstudie einschließlich einer Übersicht zu relevanten Einflußfaktoren Aktuelle Ernährungsmedizin 1994 19: 259–265.

    Google Scholar 

  11. Hebebrand J, Himmelmann GW, Heseker H, Schäfer H, Remschmidt H . Use of percentiles for the body mass index in anorexia nervosa: Diagnostic, epidemiological, and therapeutic considerations Int J Eat Disord 1996 19: 359–369.

    Article  CAS  Google Scholar 

  12. Hebebrand J, Himmelmann GW, Herzog W, Herpertz-Dahlmann BM, Steinhausen HC, Amstein M, Seidel R, Deter HC, Remschmidt H, Schäfer H . Prediction of low body weight at long-term follow-up in acute anorexia nervosa by low body weight at referral Am J Psychiat 1997 154: 566–569.

    Article  CAS  Google Scholar 

  13. Hebebrand J, Henninghausen K, Nau S, Himmelmann GW, Schulz E, Schäfer H, Remschmidt H . Low body weight in male children and adolescents with schizoid personality disorders or Asperger's disorders Acta Psychat Scand 1997 96: 64–67.

    Article  CAS  Google Scholar 

  14. Hennighausen K, Rischmüller B, Heseker H, Remschmidt H, Hebebrand J . Low body mass indices in adolescents with obsessive compulsive disorder Acta Psychiatr Scand 1999 99: 267–273.

    Article  Google Scholar 

  15. Garn SM, Sullivan TV, Hawthorne VM . Educational level, fatness, and fatness differences between husbands and wives Am J Clin Nutr 1989 50: 740–745.

    Article  CAS  Google Scholar 

  16. Allison DB, Nealoe MC, Kezis MI, Alfonso VC, Heshka S, Heymsfield SB . Assortative mating for relative weight: genetic implications Behav Genet 1996 26: 103–111.

    Article  CAS  Google Scholar 

  17. Maes HH, Neale MC, Eaves LJ . Genetic and environmental factors in relative body weight and human adiposity Behav. Genet. 1997 27: 325–351.

    Article  CAS  Google Scholar 

  18. Dunlop DM, Lyon RM . Study of 523 cases of obesity Edinburgh Med J 1931 38: 561–577.

    CAS  Google Scholar 

  19. Fellows HH . Studies of relatively normal obese individuals during and after dietary restrictions Am J Med Sci 1931 181: 301–312.

    Article  Google Scholar 

  20. Ellis RWB, Tallerman KH . Obesity in childhood Lancet 1934 615–620.

  21. Gurney R . he hereditary factor in obesity Arch Intern Med 1936 57: 557–561.

    Article  Google Scholar 

  22. Bauer J . Constitution and disease. Applied constitutional pathology, 2nd edn Grune & Stratton: New York, 1947.

    Google Scholar 

  23. Angel JL . Constitution in female obesity Am J Phys Anthropolo 1949 7: 433–471.

    Article  CAS  Google Scholar 

  24. Iversen T . Psychogenic obesity in Children. I Acta Psychiat Scand 1953 42: 8–19.

    Article  CAS  Google Scholar 

  25. Mayer J . Genetic factors in obesity Bull NY Acad Med 1960 36: 322–343.

    Google Scholar 

  26. Withers RFJ . Problems in the genetics of human obesity Eugen Rev 1964 56: 81–90.

    CAS  PubMed  PubMed Central  Google Scholar 

  27. Adams TD, Hunt St, Mason LA, Ramirez ME, Fisher AG, Williams RR . Familial aggregation of morbid obesity Obes Res 1993 1: 261–270.

    Article  CAS  Google Scholar 

  28. Laskarzewski PM, Khoury P, Morrison JA, Kelly K, Mellies MJ, Glueck CJ . Familial obesity and leanness Int J Obes 1983 7: 505–527.

    CAS  PubMed  Google Scholar 

  29. Hunt SC, Williams RR, Adams TD . Biochemical and anthropometric characterization of morbid obesity in a large Utah pedigree Obes Res 1995 3: 165s–172s.

    Article  Google Scholar 

  30. Westenhöfer J, Pudel V . Einstellungen der deutschen Bevölkerung zum Essen Ernährungsumschau 1990 37: 311–316.

    Google Scholar 

  31. Brown PJ, Bentley-Condit VK . Culture, evolution, and obesity. In Bray GA, Bouchard C, James WPT (eds). Handbook of obesity Marcel Dekker; New York 1998.

    Google Scholar 

  32. Casey VA, Dwyer JT, Coleman KA, Valadian I . Body mass index from childhood to middle age: a 50-y follow-up Am J Clin Nutr 1992 56: 8–14.

    Article  Google Scholar 

  33. Casey VA, Dwyer JT, Berkey CS, Coleman KA, Gardner J, Valadian I . Long-term memory of body weight and past weight satisfaction: a longitudinal follow-up study Am J Clin Nutr 1991 53: 1493–1498. .

    Article  CAS  Google Scholar 

  34. Bouchard C, Pérusse L . The genetics of human obesity. In Bray GA, Bouchard C, James WPT (eds). Handbook of obesity Marcel Dekker: New York 1998.

    Google Scholar 

  35. Ziegler A, Hebebrand J . Sample size calculations for linkage analysis using extreme sib pairs based on segregation analysis with the quantitative phenotype body weight as an example Genet Epidemiol 1998 15: 577–593.

    Article  CAS  Google Scholar 

  36. Vaisse C, Clement K, Guygrand B, Froguel P . A frameshift mutation in human MC4R is associated with a dominant form of obesity Nature Genet 1998 20: 113–114.

    Article  CAS  Google Scholar 

  37. Yeo GSH, Farooqi IS, Aminian S, Halsall DJ, Stanhope RC, Orahilly S . A frameshift mutation in MC4R associated with dominantly inherited human obesity Nature Genet 1998 20: 111–112.

    Article  CAS  Google Scholar 

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Hebebrand, J., Wulftange, H., Goerg, T. et al. Epidemic obesity: are genetic factors involved via increased rates of assortative mating?. Int J Obes 24, 345–353 (2000). https://doi.org/10.1038/sj.ijo.0801135

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