López-Alvarenga JC, Vázquez-Velázquez V, Eugenia Bolado-García V, González-Barranco J, Castañeda-López J, Robles L, Velásquez-Alva C, Aguirre-Hernández R, Comuzzie A

Language: Spanish
References: 34
Page: 463-469
PDF size: 95.75 Kb.

ABSTRACT

Objective: Programs aimed at obesity prevention among elementary school age children have failed. In the present study, we analyzed the association between parental and child food preferences and determined whether this is influenced by the parents’ gender and socio-economic status.
Material and methods: We invited 300 children from a state elementary school (SES) and 368 from a private middle class school (PMCS) to participate. A questionnaire was given to each parent to complete together with another questionnaire asking questions about their child. The questionnaire included items on consumption of specific foods. Canonical correlation coefficients (CC) were calculated to assess the association between children’s food preferences and their parents’ food preferences.
Results: Mothers from the PMCS group had lower Body Mass Index (BMIs) than mothers from the SES (24 ± 4 vs. 26 ± 4, p ‹ 0.001). Fathers and children from the PMCS group were taller and weighed more than those from the SES but their BMI’s were similar. CC indicate that mothers influence their children’s food preferences by 30%, and this association is stronger in the SES group. Preference for simple carbohydrates was observed among children without parental supervision. Regular soft drinks were preferred by children in both schools, but diet sodas were more common among PMCS. All families avoided giving their children diet soft drinks. Conclusions: Socio-economic status and gender differentially influence children’s meal preferences. Obsesity prevention programs should take into account parental food preferences as an important factor that determines obesity during childhood. We expect that our results will contribute to the design of more appropriate prevention programs.

REFERENCES

1. Ghannem H, Darioli R, Limam K, Harrabi I, Gaha R, Trabelsi L, et al. Epidemiology of cardiovascular risk factors among schoolchildren in Sousse, Tunisa. J Cardiovasc Risk 2001;8:87-91.

2. Magkos F, Manios Y, Christakis G, Kafatos AG. Secular trends in cardiovascular risk factors among school-aged boys from Crete, Greece 1982-2002. Eur J Clin Nutr 2004;59:1-7.

3. Burke V, Beilin LJ, Simmer K, Oddy WH, Blake KV, Doherty D, et al. Predictors of body mass index and associations with cardiovascular risk factors in Australian children: a prospective cohort study. Int J Obes Relat Metab Disord 2005;29:15-23.

4. Chu NF, Rimm EB, Wang DJ, Liou HS, Shieh SM. Clustering of cardiovascular disease risk factors among obese schoolchildren: the Taipei Children Heart Study. Am J Clin Nutr 1998;67:1141-1146.

5. Sánchez-Castillo CP, Lara JJ, Villa AR, Aguirre J, Escobar M, Gutiérrez H, et al. Unsually high prevalence rates of obesity in four Mexican rural communities. Eur J Clin Nutr 2001;55:833-840.

6. Mehta S, Mahajan D, Steinbeck KS, Bermingham MA. Relationship between measures of fatness, lipids and ethnicity in a cohort of adolescent boys. Ann Nutr Metab 2002;46:192-199.

7. Zwiauer KF, Pakosta R, Mueller T, Widhalm K. Cardiovascular risk factors in obese children in relation to weight and body fat distribution. J Am Coll Nutr 1992;11(Suppl):41S-50S.

8. Monge-Rojas R. Serum lipids and lipoprotein levels in Costa Rican 13-18 yearold teenagers. Arch Latinoam Nutr 2001;51:236-243.

9. Manios Y, Dimitriou M, Moschonis G, Kocaoglu B, Sur H, Keskin Y, et al. Cardiovascular disease risk factors among children of different socioeconomic status in Istanbul, Turkey: directions for public health and nutrition policy. Lipids Health Dis 2004;3:11.

10. Whitaker RC, Wright JA, Pepe MS, Seidel KD, Dietz WH. Predicting obesity in young adulthood from childhood and parental obesity. N Engl J Med 1997;337:869-873.

11. Flodmark CE, Lissau I, Moreno LA, Pietrobelli A, Widhalm K. New insights into the field of children and adolescents’ obesity: the European perspective. Int J Obes Relat Metab Disord 2004;28:1189-1196.

12. Grupo de Consenso FUNSALUD en Obesidad. Obesidad. Consenso. En: Vargas-Ancona L, Bastarrachea-Sosa R, Laviada-Molina H, González-Barranco J, Ávila-Rosas H, editores. Mexico: McGraw-Hill-Interamericana; 2002.

13. Secretaría de Salud. Norma Oficial Mexicana NOM-174-SSA1-1998. México: SSA; 1998.

14. Harkin T. Health care, not sick care. Am J Health Promot 2004;19:1-2.

15. Atkinson RL, Nitzke SA. Increase knowledge about nutrition but do not change eating habits by much. School based programmes on obesity. BMJ 2001;323:1018-1019.

16. Bouchard C. Obesity in adulthood—the importance of childhood and parental obesity. N Engl J Med 1997;337:926-927.

17. Prentice AM, Jebb SA. Obesity in Britain: gluttony or sloth? BMJ 1995;311:437-439.

18. Putnam JJ, Allshouse JE. Food consumption, prices, and expenditures, 1970- 97. Statistical Bulletin No. 965. Bethesda, MD: Food and Rural Economics Division, Economic Research Service, U.S. Department of Agriculture; 1999.

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

20. Fischer R, Griffin F, England S, Garn SM. Taste thresholds and food dislikes. Nature 1961;191:1328.

21. Benton D. Role of parents in the determination of the food preferences of children and the development of obesity. Int J Obes Relat Metab Disord 2004;28:858-869.

22. Levine MS. Canonical analysis and factor comparison. Quantitative applications in the social sciences. Series, No. 6. Thousand Oaks, CA: Sage Publications; 1977.

23. López-Alvarenga JC, Sánchez-Romero MB, Macías-Morales N, Bolado-García VE, González-Barranco J. Reproducibilidad y sensibilidad de tres tipos de encuestas alimentarias. Enfoque para estudios clínico-controlados. Nutr Clin 2002;5:73-78.

24. Ávila-Curiel A, Shamah-Levy T, Chávez-Villasana A, Galindo-Gómez C. Resultados de la Encuesta Urbana de Alimentación y Nutrición en la Zona Metropolitana de la Ciudad de México 2002. Estratos socioeconómicos bajos (versión preliminar). México: Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán; 2003.

25. Logue AW, Logue CM, Uzzo RG, McCarty MJ, Smith ME. Food preferences in families. Appetite 1988;10:169-180.

26. Pliner P, Pelchat ML. Similarities in food preferences between children and their siblings and parents. Appetite 1986;7:333-342.

27. Feunekes GI, Stafleu A, de Graaf C, van Staveren WA. Family resemblance in fat intake in The Netherlands. Eur J Clin Nutr 1997;51:793-799.

28. Rozin P, Riklis J, Margolis L. Mutual exposure of close peer relationships do not seem to foster increased similarity in food, music or television program preferences. Appetite 2004;42:41-48.

29. Fisher JO, Birch LL. Restricting access to palatable foods affects children’s behavioral response, food selection, and intake. Am J Clin Nutr 1999;69:1264-1272.

30. Wilson DB, Musham C, McLellan MS. From mothers to daughters: transgenerational food and diet communication in an underserved group. J Cult Divers 2004;11:12-17.

31. Sahota P, Rudolf MC, Dixey R, Hill AJ, Barth JH, Cade J. Evaluation of implementation and effect of primary school based intervention to reduce risk factors for obesity. BMJ 2001;323:1027-1029.

32. Sahota P, Rudolf MC, Dixey R, Hill AJ, Barth JH, Cade J. Randomised controlled trial of primary school based intervention for obesity. BMJ 2001;323:1029-1032.

33. Story M. School-based approaches for preventing and treating obesity. Int J Obes Relat Metab Disord 1999;23(Suppl 2):S43-S51.

34. Ludwig DS, Peterson KE, Gortmaker SL. Relation between consumption of sugar-sweetened drinks and childhood obesity: a prospective, observational analysis. Lancet 2001;357:505-508.