Hostname: page-component-cd9895bd7-8ctnn Total loading time: 0 Render date: 2024-12-26T17:51:56.421Z Has data issue: false hasContentIssue false
  • English
  • Français

Beverage intake and obesity in early childhood: evidence form primary health care clients in Northwest Argentina

Part of: Ibero-American DOHaD

Published online by Cambridge University Press:  07 December 2015

E. Alderete ,
I. Bejarano  and
A. Rodríguez
E. Alderete*
Affiliation:
Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Instituto de Ciencia y Tecnología Regional (ICTER), Facultad de Humanidades y Cs. Sociales (FHYCS-UNJU), Universidad Nacional de Jujuy, San Salvador de Jujuy, Jujuy, Argentina
I. Bejarano
Affiliation:
Instituto de Ciencia y Tecnología Regional (ICTER), Facultad de Humanidades y Cs. Sociales (FHYCS-UNJU), Universidad Nacional de Jujuy, San Salvador de Jujuy, Jujuy, Argentina
A. Rodríguez
Affiliation:
Instituto de Ciencia y Tecnología Regional (ICTER), Facultad de Humanidades y Cs. Sociales (FHYCS-UNJU), Universidad Nacional de Jujuy, San Salvador de Jujuy, Jujuy, Argentina
*
*Address for correspondence: E. Alderete, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Instituto de Ciencia y Tecnología Regional (ICTER), Facultad de Humanidades y Cs. Sociales (FHYCS-UNJU), Universidad Nacional de Jujuy, El Hornero 468, S.S. de Jujuy, Argentina 4600. (Email [email protected])
Get access Rights & Permissions [Opens in a new window]

Abstract

Sugar sweetened beverages (SSB) are thought to play an important role in weight gain. We examined the relationship between the intake of caloric and noncaloric beverages (SSB and water) and the nutritional status of children. In 2014, we randomly selected 16 public health clinics in four cities of Northwest Argentina and conducted a survey among mothers of children 0–6 years of age. Children’s beverage intake was ascertained by 24-h dietary recall provided by the mothers. Children’s weight and height measures were obtained from clinic’s registries. We calculated the body mass index using the International Obesity Task Force standards. The analysis included 562 children 25 months to 6 years of age with normal or above normal nutritional status. Children’s beverage consumption was as follows, water 81.8%, carbonated soft drinks (CSD) 49.7%, coffee/tea/cocoa 44.0%, artificial fruit drinks 35.6%, flavored water 17.9%, natural fruit juice 14.5%. In multivariate logistic regression models the likelihood of being obese v. being overweight or having normal weight doubled with an intake of one to five glasses of CSD (OR=2.2) and increased by more than three-fold with an intake of more than five glasses (OR=3.5). Drinking more than five glasses of water decreased the likelihood of being obese by less than half (OR=0.3). The percentage of children drinking more than five glasses of other beverages was low (3.3–0.9%) and regression models did not yield significant results. The study contributed evidence for reducing children’s CSD intake and for promoting water consumption, together with the implementation of comprehensive regulatory public health policies.

Keywords

beveragesdietary sugarlatin Americapediatric obesitywater
Type
Original Article
Information
Journal of Developmental Origins of Health and Disease , Volume 7 , Issue 3: Themed Issue: Ibero-American DOHaD Society , June 2016 , pp. 244 - 252
Check for updates
Copyright
© Cambridge University Press and the International Society for Developmental Origins of Health and Disease 2015 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Lakshman, RD, Elks, CE, Ong, KK. Childhood obesity. Circulation. 2012; 126(14), 1770–1779.Google Scholar
2. Deckelbaum, RJ, Williams, CL. Childhood obesity: the health issue. Obes Res. 2001; 9, 239S–243S.CrossRefGoogle ScholarPubMed
3. Reilly, JJ, Wilson, D. ABC of obesity childhood obesity. BMJ. 2006; 333, 1207–1210.Google Scholar
4. Lobstein, BT, Rigby, N, Leach, R.. International Obesity Task Force. EU Platform on Diet Physical Activity and Health. EU Briefing Paper . 2005. International Obesity Task Force: Brussels.Google Scholar
5. de Onis, M, Blössner, M, Borghi, E. Global prevalence and trends of overweight and obesity among preschool children. Am J Clin Nutr. 2010; 92, 1257–1264.CrossRefGoogle ScholarPubMed
6. Vio, F, Albala, C, Kain, J. Nutrition transition in Chile revisited: mid-term evaluation of obesity goals for the period 2000–2010. J Pub Health Nutr. 2008; 11, 405–412.Google Scholar
7. Kain, J, Vio, F, Albala, C. Obesity trends and determinant factors in Latin America. Cad Saúde Pública. 2009; 19, S77–S86.CrossRefGoogle Scholar
8. WHO. World Health Statistics, 2014. The WHO Document Production Services: Geneva, Switzerland. Retrieved 27 November 2015 from http://www.who.int/whosis/en/ Google Scholar
9. Rivera, JA, de Cossio, TG, Pedraza, LS, et al. Childhood and adolescent overweight and obesity in Latin America: a systematic review. Lancet Diabetes Endocrinol. 2014; 2, 321–332.CrossRefGoogle ScholarPubMed
10. Barker, DJ, Osmond, C. Infant mortality, childhood nutrition, and ischaemic heart disease in England and Wales. Lancet. 1986; 1, 1077–1081.Google Scholar
11. Hales, CN, Barker, DJ. The thrifty phenotype hypothesis. Br Med Bull. 2001; 60, 5–20.Google Scholar
12. Gluckman, PD, Hanson, MA, Pinal, C. The developmental origins of adult disease. Matern Child Nutr. 2005; 1, 130–141.Google Scholar
13. Frazier, CR, Mason, P, Zhuang, X, Beeler, JA. Sucrose exposure in early life alters adult motivation and weight gain. PLoS One. 2008; 3, e3221.CrossRefGoogle ScholarPubMed
14. Chen, H, Simar, D, Lambert, K, Mercier, J, Morris, MJ. Maternal and postnatal overnutrition differentially impact appetite regulators and fuel metabolism. Endocrinology. 2008; 149, 5348–5356.Google Scholar
15. King, V, Norman, JE, Seck, JR, Drake, AJ. Post-weaning diet determines metabolic risk in mice exposed to overnutrition in early life. Reprod Biol Endocrinol. 2014; 1, 12–73.Google Scholar
16. Dietz, WH, Benken, DE, Hunter, AS. Public health law and the prevention and control of obesity. Milbank Q. 2009; 87, 215–227.Google Scholar
17. Malik, VS, Schulze, MB, Hu, FB. Intake of sugar-sweetened beverages and weight gain: a systematic review. Am J Clin Nutr. 2006; 84, 274–288.Google Scholar
18. Hu, FB. Resolved: there is sufficient scientific evidence that decreasing sugar-sweetened beverage consumption will reduce the prevalence of obesity and obesity-related diseases. Obes Rev. 2013; 14, 606–619.CrossRefGoogle ScholarPubMed
19. PAHO/WHO. Plan of Action for the Prevention of Obesity in Children and Adolescents. 2014. PAHO: Washington, DC.Google Scholar
20. Basu, S, McKee, M, Galea, G, et al. Relationship of soft drink consumption to global overweight, obesity, and diabetes: a cross-national analysis of 75 countries. Am J Public Health. 2013; 103, 2071–2077.CrossRefGoogle ScholarPubMed
21. Jiménez-Cruz, A, Bacardi-Gascón, M, Pichardo-Osuna, A, et al. Infant and toddlers’ feeding practices and obesity amongst low-income families in Mexico. Asia Pac J Clin Nutr. 2010; 19, 316–323.Google Scholar
22. O’Connor, TM, Yang, SJ, Nicklas, TA. Beverage intake among preschool children and its effect on weight status. Pediatrics. 2006; 118, e1010–e1018.CrossRefGoogle ScholarPubMed
23. Dennison, BA, Rockwell, HL, Baker, SL. Excess fruit juice consumption by preschool-aged children is associated with short stature and obesity. Pediatrics. 1997; 99, 15–22.Google Scholar
24. Faith, MS, Dennison, BA, Edmunds, LS, et al. Fruit juice intake predicts increased adiposity gain in children from low-income families: weight status-by-environment interaction. Pediatrics. 2006; 118, 2066–2075.CrossRefGoogle ScholarPubMed
25. Skinner, JD, Carruth, BR. A longitudinal study of children’s juice intake and growth: the juice controversy revisited. J Am Diet Assoc. 2001; 101, 432–437.Google Scholar
26. Newby, PK, Peterson, KE, Berkey, CH, et al. Beverage consumption is not associated with changes in weight and body mass index among low-income preschool children in North Dakota. J Am Diet Assoc. 2004; 104, 1086–1094.CrossRefGoogle Scholar
27. Fiorito, LM, Marini, M, Francis, LA, et al. Beverage intake of girls at age 5 y predicts adiposity and weight status in childhood and adolescence. Am J Clin Nutr. 2009; 90, 935–942.CrossRefGoogle ScholarPubMed
28. Pérez-Morales, E, Bacardí-Gascón, M, Jiménez-Cruz, M. Sugar-sweetened beverage intake before 6 years of age and weight or BMI status among older children; systematic review of prospective studies. Nutr Hosp. 2013; 28, 47–51.Google ScholarPubMed
29. Dubois, L, Farmer, A, Girard, M, et al. Regular sugar sweetened beverage consumption between meals increases risk of overweight among preschool-aged children. J Am Diet Assoc. 2007; 107, 924–934.CrossRefGoogle ScholarPubMed
30. Welsh, JA, Cogswell, ME, Rogers, S, et al. Overweight among low-income preschool children associated with the consumption of sweet drinks: Missouri, 1999-2002. Pediatrics. 2005; 115, e223–e229.CrossRefGoogle ScholarPubMed
31. Kral, TVE, Stunkard, AJ, Berkowitz, RI, et al. Beverage consumption patterns of children born at different risk of obesity. Obesity. 2008; 16, 1802–1808.Google Scholar
32. Lim, S, Zoellner, JM, Lee, JM, et al. Obesity and sugar-sweetened beverages in African-American preschool children: a longitudinal study. Obesity. 2009; 17, 1262–1268.Google Scholar
33. Piernas, C, Mendez, MA, Ng, SW, et al. Low-calorie- and calorie-sweetened beverages: diet quality, food intake, and purchase patterns of US household consumers. Am J Clin Nutr. 2014; 99, 567–577.CrossRefGoogle ScholarPubMed
34. Drewnowski, A, Rehm, CD, Constant, F. Water and beverage consumption among children age 4-13y in the United States: analyses of 2005–2010 NHANES data. Nutr J. 2013; 12, 85.Google Scholar
35. Institute of Medicine of the National Academies. Dietary Reference Intakes for Water, Potassium, Sodium Chloride and Sulfate. 2005. The National Academy of Medicine Press: Washington, DC.Google Scholar
36. Muckelbauer, R, Barbosa, CL, Mittag, T, et al. Association between water consumption and body weight outcomes in children and adolescents: a systematic review. Obesity. 2014; 22, 2462–2475.Google ScholarPubMed
37. Muckelbauer, R, Libuda, L, Clausen, K, et al. Promotion and provision of drinking water in schools for overweight prevention: randomized, controlled cluster trial. Pediatrics. 2009; 123, e661–e667.Google Scholar
38. de Ruyter, JC, Olthof, MR, Seidell, JC, et al. A trial of sugar-free or sugar-sweetened beverages and body weight in children. N Engl J Med. 2012; 367, 1397–1406.CrossRefGoogle ScholarPubMed
39. PNUD. Human Development Report 2014. Sustaining Human Development. Reducing Vulnerabilities and Building Resilience. 2014. PNUD: New York, NY.Google Scholar
40. Romaguera, D, Samman, N, Farfán, N, et al. Nutritional status of the Andean population of Puna and Quebrada of Humahuaca, Jujuy, Argentina. Pub Health Nutr. 2007; 11, 606–615.CrossRefGoogle ScholarPubMed
41. Uauy, R, Albala, C, Kain, J. American society for nutritional sciences. Obesity trends in Latin America: transiting from under- to overweight. J Nutr. 2001; 131, 893S–899S.Google Scholar
42. de Onis, M, Blössner, M. Prevalence and trends of overweight among preschool children in developing countries. Am J Clin Nutr. 2000; 72, 1032–1039.CrossRefGoogle ScholarPubMed
43. Bejarano, I, Dipierri, J, Alfaro, E, et al. Evolución de la prevalencia de sobrepeso, obesidad y desnutrición en escolares de San Salvador de Jujuy. Arch Argent Pediatr. 2005; 103, 101–109.Google Scholar
44. Bolzán, A, Mercer, R, Ruiz, V, et al. Evaluación nutricional antropométrica de la niñez pobre del norte argentino: Proyecto encuNa. Arch Argent Pediatr. 2005; 103, 545–555.Google Scholar
45. Durán, P, Mangialavoria, G, Biglieria, A, et al. Estudio descriptivo de la situación nutricional en niños de 6-72 meses de la República Argentina. Resultados de la Encuesta Nacional de Nutrición y Salud (ENNyS). Arch Argent Pediatr. 2009; 107, 397–404.Google Scholar
46. Abeyá Gilardon, EO, Calvo, EB, Durán, P, et al. Evaluación del estado nutricional de niñas, niños y embarazadas mediante antropometría, 1a ed, 2009. Ministerio de Salud de la Nación: Buenos Aires. Retrieved 27 November 2015 from http://www.msal.gob.ar/images/stories/bes/graficos/0000000256cnt-a07-manual-evaluacion-nutricional.pdf Google Scholar
47. Wardle, J, Guthrie, CA, Sanderson, S, Rapoport, L. Development of the children’s eating behaviour questionnaire. J Child Psychol Psychiatry. 2001; 42, 963–970.CrossRefGoogle ScholarPubMed
48. Bickel, G, Nord, M, Price, C, Hamilton, W, Cook, J. Guide to Measuring Household Food Security, Revised. 2000. U.S. Department of Agriculture, Food and Nutrition Service: Alexandria, VA.Google Scholar
49. Centers for Disease Control and Prevention (CDC) and National Center for Health Statistics (NCHS). National Health and Nutrition Examination Survey Data 2011-2012. U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, Hyattsville, MD. Retrieved 27 November 2015 from http://www.cdc.gov/nchs/nhanes/nhanes2011-2012/questionnaires11_12.htm Google Scholar
50. World Health Organization. Obesity: Preventing and Managing the Global Epidemic. Report of a WHO Consultation on Obesity. 1998. WHO: Geneva.Google Scholar
51. Bray, GA, Bouchard, C. (eds.) Handbook of Obesity: Clinical Applications (vol. 2) 2014. CRC Press: Boca Raton, FL.Google Scholar
52. Cole, TJ, Bellizzi, MC, Flegal, KM, Dietz, WH. Survey overweight and obesity worldwide: international establishing a standard definition for child. BMJ. 2000; 320, 1240–1243.Google Scholar
53. Dietz, WH, Robinson, TN. Use of the body mass index (BMI) as a measure of overweight in children and adolescents. J Pediatr. 1998; 132, 191–193.Google ScholarPubMed
54. Power, C, Lake, JK, Cole, TJ. Measurement and long-term health risks of child and adolescent fatness. Int J Obesity. 1997; 21, 507–526.CrossRefGoogle ScholarPubMed
55. O’Donnell, AM, Grippo, B. Las tablas de crecimiento como patrón de referencia. Una reflexión. Arch Argent Pediatr. 2003; 101, 57–60.Google Scholar
56. World Health Organization. Multicentre Growth Reference Study Group. WHO Child Growth Standards: Length/Height for- Age, Weight-Forage, Weight-for-Length, Weight-for-Height and Body Mass Index-for-Age: Methods and Development. 2006. World Health Organization: Geneva.Google Scholar
57. Padula, G, Salceda, SA. Comparación entre referencias de las prevalencias de sobrepeso y obesidad, estimadas a través del Índice de Masa Corporal, en niños de Argentina. Arch Latinoam Nutr. 2008; 58, 330–335.Google Scholar
58. Cole, TJ, Lobstein, T. Extended international (IOTF) body mass index cut-offs for thinness, overweight and obesity. Pediatr Obes. 2012; 7, 284–294.CrossRefGoogle ScholarPubMed
59. Albrecht, SS, Barquera, S, Popkin, BM. Exploring secular changes in the association between BMI and waist circumference in Mexican-origin and white women: a comparison of Mexico and the United States. Am J Hum Biol. 2014; 5, 627–634.CrossRefGoogle Scholar
60. US Department of Health and Human Services, National Center for Health Statistics. NHANES III Reference Manuals and Reports [CD-ROM]. 1996. Centers for Disease Control and Prevention: Hyattsville, MD.Google Scholar
61. Institute of Medicine of the National Academies. Local Government Actions to Prevent Childhood Obesity. 2009. The National Academy of Medicine Press: Washington, DC.Google Scholar
62. World Cancer Research Fund/American Institute for Cancer Research. Policy and Action for Cancer Prevention. Food, Nutrition, and Physical Activity: a Global Perspective. 2009. AICR: Washington, DC.Google Scholar
63. Malik, VS, Popkin, BM, Bray, GA, et al. Sugar sweetened beverages, obesity, type 2 diabetes mellitus, and cardiovascular disease risk. Circulation. 2010; 12, 1356–1364.CrossRefGoogle Scholar
64. Vartanian, LR, Schwartz, MB, Brownell, KD. Effects of soft drink consumption on nutrition and health: a systematic review and meta-analysis. Am J Public Health. 2007; 97, 667–675.Google Scholar
65. Bachman, CM, Baranowski, T, Nicklas, TA. Is there an association between sweetened beverages and adiposity? Nutr Rev. 2006; 64, 153–174.Google Scholar
66. Malik, VS, Willett, WC, Hu, FB. Global obesity: trends, risk factors and policy implications. Nat Rev Endocrinol. 2013; 9, 13–27.Google Scholar
67. Almirón-Roig, E, Chen, Y, Drewnowski, A. Liquid calories and the failure of satiety: how good is the evidence? Obes Rev. 2003; 4, 201–212.CrossRefGoogle ScholarPubMed
68. Johnson, RK, Appel, LJ, Brands, M, et al. Dietary sugars intake and cardiovascular health: a scientific statement from the American Heart Association. Circulation. 2009; 120, 1011–1020.CrossRefGoogle Scholar
69. Qi, Q, Chu, AY, Kang, JH, et al. Sugar-sweetened beverages and genetic risk of obesity. N Engl J Med. 2012; 367, 1387–1396.Google Scholar
70. Meyer, E, Carrillo, R, Román, EM, et al. Prevalencia de sobrepeso y obesidad en escolares jujeños de diferente nivel altitudinal según las referencias IOTF, CDC y OMS. Arch Argent Pediatr. 2013; 111, 516–522.Google Scholar
71. WHO. Report of the First Meeting of the Ad Hoc Working Group on Science and Evidence for Ending Childhood Obesity: 18–20 June 2014. WHO: Geneva, Switzerland.Google Scholar