Abstract
Background
The prevalence of overweight and obesity in Mexican schoolchildren has increased in the past three decades. Dietary pattern approaches to assess diet have been used to study the relation between nutrition and chronic conditions.
Objective
The objective of this study is to analyze the association between dietary patterns (DP) and overweight and obesity in Mexican schoolchildren.
Methods
We analyzed information from schoolchildren who participated in the National Health and Nutrition Survey 2012 (ENSANUT-2012). Dietary information was obtained through a 24-h recall of 2751 children (5–11 year). Foods were classified into 33 groups, and the DPs were identified by cluster analysis (k-means method). Weight and height were measured to estimate the body mass index (BMI), by classifying overweight if the Z score was >1 and ≤2 standard deviations (SD), and obesity when the Z score was >2SD. To analyze the association, a Poisson regression model was used, adjusting by age, region, area of residence, socioeconomic status (SES), and the survey design.
Results
Four DPs were identified: “Traditional”, “Industrialized”, “Varied”, and “Modern”. The “Modern” DP was associated with obesity (PR = 1.7) (p < 0.05) compared with the “Traditional” DP.
Conclusions
The “Modern” DP could be influencing the development of obesity in Mexican schoolchildren. The promotion of healthy food and public health strategies to those food groups that should be discouraged are necessary to reverse the obesity epidemic in Mexican children.
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References
Barquera S, Pedroza-Tobias A, Medina C. Cardiovascular diseases in mega-countries. Curr Opin Lipidol. 2016;27:329–44.
Romieu I, Dossus L, Barquera S, Blottière HM, Franks PW, Gunter M, et al. Energy balance and obesity: what are the main drivers? Cancer Causes Control. 2017;28:247–58.
World Health Organization. Obesity and overweight. Descriptive note. World Health Organization. 2017. http://www.who.int/mediacentre/factsheets/fs311/es/.
Campos Nonato I, Cuevas Nasu L, González Castell LD, Hernández Barrera L, Shamah Levy T, González de Cosío Martínez T, et al. Epidemiología de la obesidad y sus principales comorbilidades en México. In: Rivera Dommarco JA, Colchero MA, Fuentes ML, González de Cosío Martínez T, Aguilar Salinas C, Hernández Licona G, et al., editors. La obesidad en México Estado de la política pública y recomendaciones para su prevención y control. Primera. Cuernavaca, México: Salud Pública de México. 2018. p. 31–40.
Romero-Martínez M, Shamah-Levy T, Cuevas-Nasu L, Méndez Gómez-Humarán I, Gaona-Pineda EB, Gómez-Acosta LM, et al. Diseño metodológico de la Encuesta Nacional de Salud y Nutrición de Medio Camino 2016. Salud Publica Mex. 2017;59:299–305.
World Health Organization. What are the causes? Reasons for children and adolescents to become obese. World Health Organization. 2019. https://www.who.int/dietphysicalactivity/childhood_why/en/.
Pérez-Escamilla R, Lutter CK, Rabadan-Diehl C, Rubinstein A, Calvillo A, Corvalán C, et al. Prevention of childhood obesity and food policies in Latin America: from research to practice. Obes Rev 2017;18:28–38.
Tucker KL. Dietary patterns, approaches, and multicultural perspective. Appl Physiol Nutr Metab. 2010;35:211–8.
Rocha NP, Milagres LC, Longo GZ, Ribeiro AQ, Novaes JFde. Association between dietary pattern and cardiometabolic risk in children and adolescents: a systematic review. J Pediatr. 2017;93:214–22.
Ochola S, Masibo PK. Dietary intake of schoolchildren and adolescents in developing countries. Ann Nutr Metab. 2014;64:24–40.
Ambrosini GL. Childhood dietary patterns and later obesity: a review of the evidence. Proc Nutr Soc. 2014;73:137–46.
GBD 2017 Diet Collaborators. Health effects of dietary risks in 195 countries, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2019;393:1958–72.
Instituto Nacional de Salud Pública. Encuesta Nacional de Salud y Nutrición 2012. Resultados Nacionales. ENSANUT. 2012;1–200.
Gutiérrez JP. Clasificación socioeconómica de los hogares en la ENSANUT 2012. Salud Publica Mex. 2013;55 Suppl 2:341.
Gutiérrez JP, Rivera-Dommarco JA, Shamah-Levy T, Villalpando-Hernández S, Franco A, Cuevas-Nasu L, et al. Encuesta Nacional de Salud y Nutrición 2012. Resultados Nacionales. 2nd. ed. Mexico: Instituto Nacional de Salud Publica, 2013.
De Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007;85:660–7.
Lopez-Olmedo N, Carriquiry AL, Rodriguez-Ramirez S, Ramirez-Silva I, Espinosa-Montero J, Hernandez-Barrera L, et al. Usual intake of added sugars and saturated fats is high while dietary fiber is low in the Mexican Population. J Nutr. 2016;146:1856S–65S.
Instituto Nacional de Salud Pública. Base de datos del valor nutritivo de los alimentos. Compilación del Instituto Nacional de Salud Pública. [Database of food’s nutritional value. Compilation of the National Institute of Public Health]. Cuernavaca, México: INSP; 2012.
García-Chávez CG, Rodríguez-Ramírez S, Rivera JA, Monterrubio-Flores E, Tucker KL. Sociodemographic factors are associated with dietary patterns in Mexican schoolchildren. Public Health Nutr. 2018;21:702–10.
Huang TTK, Howarth NC, Lin B-H, Roberts SB, McCrory MA. Energy intake and meal portions: associations with BMI percentile in U.S. children. Obes Res. 2004;12:1875–85.
Livingstone MBE, Black AE. Markers of the validity of reported energy intake. J Nutr 2003;133:895S–920S.
Institute of Medicine. Dietary reference intakes: the essential guide to nutrient requirements (2006). Washington, DC, USA: The National Academies Press, 2006.
StataCorp. Stata statistical software. TX: College Station; 2014.
Keller A, Bucher Della Torre S. Sugar-sweetened beverages and obesity among children and adolescents: a review of systematic literature reviews. Child Obes. 2015;11:338–46.
Bahreynian M, Paknahad Z, Maracy MR. Major dietary patterns and their associations with overweight and obesity among Iranian children. Int J Prev Med. 2013;4:448–58.
Zhang J, Wang H, Wang Y, Xue H, Wang Z, Du W, et al. Dietary patterns and their associations with childhood obesity in China. Br J Nutr. 2015;113:1978–84.
Pérez-Rodrigo C, Gil Á, González-Gross M, Ortega R, Serra-Majem L, Varela-Moreiras G, et al. Clustering of dietary patterns, lifestyles, and overweight among spanish children and adolescents in the ANIBES study. Nutrients. 2015;8:11.
Shang L, O’Loughlin J, Tremblay A, Gray-Donald K. The association between food patterns and adiposity among Canadian children at risk of overweight. Appl Physiol Nutr Metab. 2014;39:195–201.
Santos NHA, dos, Fiaccone RL, Barreto ML, Silva LA, da, Silva R, de CR. Association between eating patterns and body mass index in a sample of children and adolescents in Northeastern Brazil. Cad Saude Publica. 2014;30:2235–45.
Naja F, Hwalla N, Itani L, Karam S, Mehio Sibai A, Nasreddine L. A Western dietary pattern is associated with overweight and obesity in a national sample of Lebanese adolescents (13–19 years): a cross-sectional study. Br J Nutr. 2015;114:1909–19.
Johnson L, Mander AP, Jones LR, Emmett PM, Jebb SA. Energy-dense, low-fiber, high-fat dietary pattern is associated with increased fatness in childhood. Am J Clin Nutr. 2008;87:846–54.
WHO/FAO Expert Consultation. Diet, nutrition and the prevention of chronic diseases. Vol. 916, World Health Organization technical report series. Geneva: World Health Organization, 2003.
Longacre MR, Drake KM, Titus LJ, Harris J, Cleveland LP, Langeloh G, et al. Child-targeted TV advertising and preschoolers’ consumption of high-sugar breakfast cereals. Appetite. 2017;108:295–302.
Rincón-Gallardo Patiño S, Tolentino-Mayo L, Flores Monterrubio EA, Harris JL, Vandevijvere S, Rivera JA, et al. Nutritional quality of foods and non-alcoholic beverages advertised on Mexican television according to three nutrient profile models. BMC Public Health. 2016;16:733.
World Health Organization. Healthy diet. Geneva: World Health Organization, 2015. (Fact Sheet No. 394).
Vos MB, Kaar JL, Welsh JA, Van Horn LV, Feig DI, Anderson CAM. et al. Added sugars and cardiovascular disease risk in children: a scientific statement from the American Heart Association. Circulation. 2017;135:e1017–e1034.
Aburto TC, Pedraza LS, Sánchez-Pimienta TG, Batis C, Rivera JA. Discretionary foods have a high contribution and fruit, vegetables, and legumes have a low contribution to the total energy intake of the Mexican Population. J Nutr. 2016;146:1881S–7S.
Gibson RS, Charrondiere UR, Bell W. Measurement errors in dietary assessment using self-reported 24-hour recalls in low-income countries and strategies for their prevention. Adv Nutr Int Rev J. 2017;8:980–91.
Rivera JA, Pedraza LS, Aburto TC, Batis C, Sánchez-Pimienta TG, González de Cosío T, et al. Overview of the dietary intakes of the mexican population: results from the national health and nutrition survey 2012. J Nutr. 2016;146:1851S–5S.
Lo Siou G, Yasui Y, Csizmadi I, McGregor SE, Robson PJ. Exploring statistical approaches to diminish subjectivity of cluster analysis to derive dietary patterns. Am J Epidemiol. 2011;173:956–67.
Ventura AK, Loken E, Mitchell DC, Smiciklas-Wright H, Birch LL. Understanding reporting bias in the dietary recall data of 11-year-old girls. Obesity. 2006;14:1073–84.
Foster C, Moore JB, Singletary CR, Skelton JA. Physical activity and family-based obesity treatment: a review of expert recommendations on physical activity in youth. Clin Obes. 2018;8:68–79.
Börnhorst C, Wijnhoven TMA, Kunešová M, Yngve A, Rito AI, Lissner L, et al. WHO European childhood obesity surveillance initiative: associations between sleep duration, screen time and food consumption frequencies. BMC Public Health. 2015;15:442.
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The author contributions were as follows: CGG-C, SR-R, and JAR designed the research; CGG-C and EM-F performed statistical analysis; CGG-C and SR-R interpreted the results; CGG-C drafted the paper; CGG-C had the primary responsibility for the final content. All authors read and approved the final paper.
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García-Chávez, C.G., Rivera, J.A., Monterrubio-Flores, E. et al. Dietary patterns are associated with obesity in Mexican schoolchildren. Eur J Clin Nutr 74, 1201–1209 (2020). https://doi.org/10.1038/s41430-020-0598-3
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DOI: https://doi.org/10.1038/s41430-020-0598-3