Association between household socioeconomic level and consumption of fast food and soft drinks: a cross-sectional assessment of the Young Lives cohort in Peru
DOI:
https://doi.org/10.14306/renhyd.24.1.824Keywords:
Fast Foods, Sugar-Sweetened Beverages, Obesity, Social Class.Abstract
Introduction: The consumption of fast food and soft drinks is a risk factor for developing overweight and obesity. This study aimed at assessing if there is association between household socioeconomic level and the consumption of fast food and soft drinks among children.Material and Methods: A cross-sectional assessment of the data from the third round (2009-2010) of the youngest cohort of the Young Lives study in Peru was conducted. Sampling was conducted in three stages: in the first one, the country was divided into equal geographical regions, excluding the 5% of the richest district; in the second stage, 20 sentinel sites were chosen and an area within each sentinel site was selected. Finally, in the third stage, eligible children were selected. Outcomes were the self-reported consumption of fast food and soft drinks (never, sometimes, and always), whereas the exposure was household socioeconomic status (in quintiles). Crude and adjusted models were created between variables of interest using Poisson regression models, with robust variance, to report prevalence ratios (PR) and 95% confidence intervals (95% CI).
Results: Data of 1901 children, of which 942 (49.6%) were girls, with a mean age of 7.5 (SD: 0.5) was analyzed. A total of 24.1% (95%CI: 22.2% – 26.1%) reported always consuming fast food, whilst this number was 22.4% (20.5% – 24.3%) for soft drinks. Compared to the lowest socioeconomic quintile, those who were in higher socioeconomic status had more probability of consuming fast food and soft drinks (Chi-squared for trends < 0.001). The highest socioeconomic quintile had a greater probability to always consume fast food (PR = 1.42; 95%CI: 1.08 – 1.88) and soft drinks (PR = 1.71; 95%CI: 1.24 – 2.37).
Conclusions: This study shows that there is a significant association between the household socioeconomic level and the consumption of soft drinks and fast food.
References
(1) NCD RisC Factor Collaboration. Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128•9 million children, adolescents, and adults. Lancet 2017;390(10113):2627-2642.
(2) Bellew W, Bauman A, Kite J, et al. Obesity prevention in children and young people; what policy actions are needed. Public Health Res Pract 2019;29(1):pii:2911902.
(3) Bhadoria A, Sahoo K, Sahoo B, Choudhury A, Sufi N, Kumar R. Childhood obesity: Causes and consequences. J Fam Med Prim Care 2015;4(2):187.
(4) World Health Organization. World Heath Statistics 2018; Monitoring health for SDGs. Geneva, Switzerland; WHO: 2018.
(5) Ministerio de Salud del Perú: Instituto Nacional de Salud: Centro Nacional de Alimentacion y Nutricion. Estado nutricional por etapas de vida en la población peruana; 2013-2014. Lima, Perú; MINSA: 2015.
(6) Pan American Health Organization. Ultra-processed food and drink products in Latin America: trends, impact on obesity, policy implications. Washington DC, US. PAHO; 2015.
(7) Stanhope KL. Sugar consumption, metabolic disease and obesity: The state of the controversy. Crit Rev Clin Lab Sci. 2016;53(1):52–67.
(8) Blecher E, Liber AC, Drope JM, Nguyen B, Stoklosa M. Global trends in the affordability of sugar-sweetened beverages, 1990–2016. Prev Chronic Dis 2017;14:E37.
(9) Vikraman S, Fryar CD, Odgen CL. Caloric intake from fast food among children and adolescents in the United States, 2011 – 2012. NCHS Data Brief 2015; 213:1–8.
(10) Popkin BM, Adair LS, Ng SW. Global nutrition transition and the pandemic of obesity in developing countries. Nutr Rev. 2012;70(1):3–21.
(11) Simmonds M, Burch J, Llewellyn A, et al. The use of measures of obesity in childhood for predicting obesity and the development of obesity-related diseases in adulthood: a systematic review and meta-analysis. Health Technol Assess 2015 ;19(43) :1-336.
(12) Brown K, Mcilveen H, Strugnell C. Nutritional awareness and food preferences of young consumers. Nutr Food Sci. 2000;30(5):230–5.
(13) Haerens L, Craeynest M, Deforche B, Maes L, Cardon G, De Bourdeaudhuij I. The contribution of psychosocial and home environmental factors in explaining eating behaviours in adolescents. Eur J Clin Nutr. 2008;62(1):51–9.
(14) Marmot M. The influence of income on health: Views of an epidemiologist. Health Aff. 2002;21(2):31–46.
(15) Janssen HG, Davies IG, Richardson LD, Stevenson L. Determinants of takeaway and fast food consumption: a narrative review. Nutr Res Rev. 2017;(8):1–19
(16) Popkin BM. Relationship between shifts in food system dynamics and acceleration of the global nutrition transition. Nutr Rev. 2017;75(2):73–82.
(17) Colchero MA, Salgado JC, Unar-Munguía M, Hernández-Ávila M, Rivera-Dommarco JA. Price elasticity of the demand for sugar sweetened beverages and soft drinks in Mexico. Econ Hum Biol. 2015;19:129–37.
(18) Young Lives. A Guide to Young Lives Research. Oxford, UK. Young Lives; 2017.
(19) Escobal J, Flores E. An assessment of the Young Lives sampling approach in Peru. Oxford, UK. Young Lives; 2018.
(20) Hopping BN, Erber E, Mead E, Sheehy T, Roache C, Sharma S. Socioeconomic indicators and frequency of traditional food, junk food, and fruit and vegetable consumption amongst Inuit adults in the Canadian Arctic. J Hum Nutr Diet. 2010;23(1):51–8.
(21) Alviso-Orellana C, Estrada-Tejada D, Carrillo-Larco RM, Bernabe-Ortiz A. Sweetened beraverages, snacks and overweight: findings from the Young Lives cohort study in Peru. Public Health Nutr 2018;21(9):1627-1633.
(22) Lim H, Lee HJ, Choue R, Wang Y. Trends in Fast-food and sugar-sweetened beverage consumption and their association with social environmental status in South Korea. J Acad Nutr Diet 2018;118(7):1228–1236.
(23) Bae SG, Kim JY, Kim KY, Park SW, Bae J, Lee WK. Changes in dietary behavior among adolescents and their association with government nutrition policies in Korea, 2005-2009. J Prev Med Public Heal. 2012;45(1):47–59.
(24) Shi Z, Lien N, Kumar BN, Holmboe-Ottesen G. Socio-demographic differences in food habits and preferences of school adolescents in Jiangsu Province, China. Eur J Clin Nutr. 2005;59(12):1439–48.
(25) Ramírez-Vélez R, González-Ruíz K, Correa-Bautista JE, Meneses-Echávez JF, Martínez-Torres J. [Demographic and socioeconomic in consumption of sugar-sweetened beverages among Colombian children and adolscents]. Nutr Hosp. 2015;31(6):2479–86.
(26) Pabayo R, Spence JC, Cutumisu N, Casey L, Storey K. Sociodemographic, behavioural and environmental correlates of sweetened beverage consumption among pre-school children. Public Health Nutr. 2012;15(8):1338–46.
(27) Fleischhacker SE, Evenson KR, Rodriguez DA, Ammerman AS. A systematic review of fast food access studies. Obes Rev. 2011;12(501):460–71.
(28) Popkin BM, Adair LS, Ng SW. Global nutrition transition and the pandemic of obesity in developing countries. Nutr Rev. 2012;70(1):3–21.
(29) World Health Organization. Guideline: Sugars intake for adults and children. Geneva, Switzerland; WHO: 2018.
(30) Bonilla C, Hijar G, Márquez D, Aramburú A, Aparco JP, Gutiérrez EL. [Interventions to prevent the development of overweight and obesity in children younger than 5 years]. Rev Peru Med Exp Salud Publica 2017;34(4):682.
(31) Morano M, Rutigliano I, Rago A, Pettoello-Mantovani M, Campanozzi A. A multi-component, school-initiated obesity intervention to promote healthy lifestyles in chilren, Nutrition 2016 ;32(10) :1075-80.
(32) Perez Villasante L, Raigada Mares J, Collins Estrada A, et al. [Effectiveness of an educational program focusing in healthy lifestyles for overweight and obesity reduction in Robert M. Smith School, Huaraz, Ancash, Peru]. Acta Med Peruana. 2008;25(4):204–9.
(33) Pehlke EL, Letona P, Ramirez-Zea M, Gittelsohn J. Healthy casetas: a potential strategy to improve the food environment in low-income schools to reduce obesity in children in Guatemala City. Ecol Food Nutr 2016;55(3):324-38.
(34) Hunter NE. Revisiting the regulation debate: The effect of food marketing on childhood obesity. Pierce Law Rev 2008;7:205.
(35) Story M, French S. Food advertising and marketing directed at children and adolescents in US. Int J Behav Nutr Phys Act 2004;1:3.
(36) Nakhimovsky SS, Feigl AB, Avila C, O’Sullivan G, MacGregor-Skinner E, Spranca M. Taxes on sugar-sweetened beverages to reduce overweight and obesity in middle-income countries: A systematic review. PLoS One. 2016;11(9):1–23.
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