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Co-twin control designs for testing behavioral economic theories of child nutrition: methodological note

Abstract

Objective:

To illustrate the use and potential efficiency of the co-twin control design for testing behavioral economic theories of child nutrition.

Design:

Co-twin control design, in which participating twins ate an ad libitum lunch on two laboratory visits. At visit 1, child food choices were not reinforced. On visit 2, twins were randomized to conditions such that one twin was reinforced for each fruit and vegetable serving consumed during lunch (‘contingent’) while his co-twin was reinforced irrespective of food intake (‘non-contingent’).

Subjects:

Six male twins, 5 years old, from three monozygotic twin pairs.

Measurements:

Ad libitum intake of total energy (kcals), fat (kcals), and fruits and vegetables (servings) from the protocol test meals on the two visits.

Results:

Compared to twins receiving non-contingent reinforcement, twins receiving contingent reinforcement increased fruit and vegetable intake by 2.0 servings, reduced fat intake 106.3 kcals, and reduced total energy intake by 112.7 kcals. The relative efficiency of the co-twin control design compared to a conventional between-groups design of unrelated children was most powerful for detecting ‘substitution effects’ (i.e., reduced total energy and fat intake) more so than for detecting increased fruit and vegetable intake.

Conclusion:

Genetically informative studies, including the co-twin control design, can provide conceptually elegant and efficient strategies for testing environmental theories of child nutrition and obesity.

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References

  1. Bickel WK, Vuchinich RE . Reframing Health Behavior Change with Behavioral Economics. Lawrence Erlbaum: Mahwah, NJ, 2000.

    Book  Google Scholar 

  2. Epstein LH . Application of behavioral economic principles to treatment of childhood obesity. In: Allison DB, Pi-Sunyer FX (eds). Obesity Treatment: Establishing Goals, Improving Outcomes, and Reviewing the Research Agenda. Plenum Press: New York, 1995, pp 113–119.

    Chapter  Google Scholar 

  3. Epstein LH, Saelens BE . Behavioral economics of obesity: food intake and energy expenditure. In: Bickel WK, Vuchinich RE (eds). Reframing Health Behavior Change with Behavioral Economics. Lawrence Erlbaum: Mahwah, NJ, 2000, pp 293–311.

    Google Scholar 

  4. Epstein LH, Gordy CC, Raynor HA, Beddome M, Kilanowski CK, Paluch R . Increasing fruit and vegetable intake and decreasing fat and sugar intake in families at risk for childhood obesity. Obes Res 2001; 9: 171–178.

    Article  CAS  PubMed  Google Scholar 

  5. Epstein LH, Paluch RA, Consalvi A, Riordan K, Scholl T . Effects of manipulating sedentary behavior on physical activity and food intake. J Pediatr 2002; 140: 334–339.

    Article  PubMed  Google Scholar 

  6. Hursh SR, Bauman RA . The behavioral analysis of deman. In: Green LK (ed). Advances in Behavioral Economics. Ablex: Norwood, NJ, 1987, pp 117–165.

    Google Scholar 

  7. Bickel WK, Madden GJ, Petry NM . The price of change: the behavioral economics of drug dependence. Behav Ther 1998; 29: 545–565.

    Article  Google Scholar 

  8. Reiss S, Havercamp S . The sensitivity theory of motivation: implications for psychopathology. Behav Res Ther 1996; 34: 621–632.

    Article  CAS  PubMed  Google Scholar 

  9. Epstein LH, Paluch RA, Kilanowski CK, Raynor HA . The effect of reinforcement or stimulus control to reduce sedentary behavior in the treatment of pediatric obesity. Health Psychol 2004; 23: 371–380.

    Article  PubMed  Google Scholar 

  10. Epstein LH, Wright SM, Paluch RA, Leddy JJ, Hawk Jr LW, Jaroni JL et al. Relation between food reinforcement and dopamine genotypes and its effect on food intake in smokers. Am J Clin Nutr 2004; 80: 82–88.

    Article  CAS  PubMed  Google Scholar 

  11. Duffy DL . The co-twin control design. In: Spector TD, Snieder H, MacGregor MJ (eds). Advances in Twin and Sib-pair Analysis. Greenwich Medical Media Ltd: London, 2000, pp 54–66.

    Google Scholar 

  12. Goldfield GS, Epstein LH . Can fruits and vegetables and activities substitute for snack foods? Health Psychol 2002; 21: 299–303.

    Article  PubMed  Google Scholar 

  13. Baranowski T, Smith M, Hearn MD, Lin LS, Baranowski J, Doyle C et al. Patterns in children's fruit and vegetable consumption by meal and day of the week. J Am Coll Nutr 1997; 16: 216–223.

    Article  CAS  PubMed  Google Scholar 

  14. Resnicow K, Davis-Hearn M, Smith M, Baranowski T, Lin LS, Baranowski J et al. Social-cognitive predictors of fruit and vegetable intake in children. Health Psychol 1997; 16: 272–276.

    Article  CAS  PubMed  Google Scholar 

  15. Faith MS, Keller KL, Matz P, Johnson SL, Lewis R, Jorge MA et al. Project Grow-2-Gether: a study of the genetic and environmental influences on child eating and obesity. Twin Res 2002; 5: 472–475.

    Article  PubMed  Google Scholar 

  16. Pedhazur LJ, Schmelkin LP . Measurement, Design, and Analysis: An Integrated Handbook. Lawrence Erlbaum Associates: Hillsdale, NJ, 1991.

    Google Scholar 

  17. Carr AB, Martin NG, Whitfield JB . Usefulness of the co-twin control design in investigations as exemplified in a study of effects of ascorbic acid on laboratory test results. Clin Chem 1981; 27: 1469–1470.

    CAS  PubMed  Google Scholar 

  18. 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  PubMed  Google Scholar 

  19. de Castro JM . Genetic influences on daily intake and meal patterns of humans. Physiol Behav 1993; 53: 777–782.

    Article  CAS  PubMed  Google Scholar 

  20. de Castro JM . Independence of genetic influences on body size, daily intake, and meal patterns of humans. Physiol Behav 1993; 54: 633–639.

    Article  CAS  PubMed  Google Scholar 

  21. Christian JC, Kang KW . Efficiency of human monozygotic twins in studies of blood lipids. Metabolism 1972; 21: 691–699.

    Article  CAS  PubMed  Google Scholar 

  22. Keller KL, Pietrobelli A, Must S, Faith MS . Genetics of eating and its relation to obesity. Curr Atheroscler Rep 2002; 4: 176–182.

    Article  PubMed  Google Scholar 

  23. Faith MS, Pietrobelli A, Nunez C, Heo M, Heymsfield SB, Allison DB . Evidence for independent genetic influences on fat mass and body mass index in a pediatric twin sample. Pediatrics 1999; 104: 61–67.

    Article  CAS  PubMed  Google Scholar 

  24. Faith MS, Keller KL, Johnson SL, Pietrobelli A, Matz PE, Must S et al. Familial aggregation of energy intake in children. Am J Clin Nutr 2004; 79: 844–850.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

This work was supported by NIH Grants K08MH01530 and R01 HD42169

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Correspondence to M S Faith.

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Faith, M., Rose, E., Matz, P. et al. Co-twin control designs for testing behavioral economic theories of child nutrition: methodological note. Int J Obes 30, 1501–1505 (2006). https://doi.org/10.1038/sj.ijo.0803333

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