2025, Number 6
<< Back Next >>
salud publica mex 2025; 67 (6)
Food group consumption and its association with sociodemographic characteristics, Ensanut 2020-2024
Rodríguez-Ramírez S, Martínez-Tapia B, Medina-Zacarías MC, Valenzuela-Bravo DG, Hernández-Carapia N, Gaona-Pineda EB, Arango-Angarita A
Language: Spanish
References: 32
Page: 575-586
PDF size: 338.69 Kb.
ABSTRACT
Objective. To describe the consumption of recommended
and non-recommended food groups for daily intake and their
association with sociodemographic characteristics in the
Mexican population.
Materials and methods. Data from
the
Encuesta Nacional de Salud y Nutrición Continua 2020-2024
were used, employing a 7-day food frequency questionnaire in
the Mexican population. Tertiles of consumption in grams of
eight food groups were estimated by population groups and
their association with sociodemographic characteristics was
analyzed using ordinal logistic regression models.
Results.
Consumption of fruits, vegetables, and legumes was very low
in all age groups. Living in the southern and central regions
was associated with a higher likelihood of being in the highest
tertiles of fruit and vegetable consumption, and a lower likelihood
of consuming legumes and processed meats. In urban
areas, there was a higher likelihood of consuming processed
meats.
Conclusion. The population in the southern and central
regions had higher consumption of recommended foods.
REFERENCES
Qiao J, Lin X, Wu Y, Huang X, Pan X, Xu J, et al. Global burden of noncommunicablediseases attributable to dietary risks in 1990-2019. J HumNutr Diet. 2022;35(1):202-13. https://doi.org/10.1111/jhn.12904
Nishi SK, Khoury N, Valle-Hita C, Zurbau A, Salas-Salvadó J, Babio N.Vegetable and fruit intake variety and cardiovascular health and mortality:a systematic review and meta-analysis of observational studies. Nutrients.2023;15(23):4913. https://doi.org/10.3390/nu15234913
Shi D, Tao Y, Wei L, Yan D, Liang H, Zhang J, et al. The burden of cardiovasculardiseases attributed to diet high in sugar-sweetened beveragesin 204 countries and territories from 1990 to 2019. Curr Probl Cardiol.2024;49(1):102043. https://doi.org/10.1016/j.cpcardiol.2023.102043
Kennedy J, Alexander P, Taillie LS, Jaacks LM. Estimated effects ofreductions in processed meat consumption and unprocessed red meatconsumption on occurrences of type 2 diabetes, cardiovascular disease,colorectal cancer, and mortality in the USA: a microsimulation study.Lancet Planet Health. 2024;8(7):e441-51. https://doi.org/10.1016/S2542-5196(24)00118-9
Marrón-Ponce JA, Sánchez-Pimienta TG, Rodríguez-Ramírez S, Batis C,Cediel G. Ultra-processed foods consumption reduces dietary diversityand micronutrient intake in the Mexican population. J Hum Nutr Diet.2023;36(1):241-51. https://doi.org/10.1111/jhn.13003
Chung A, Westerman L, Martin J, Friel S. The commercial determinantsof unhealthy diets. Public Health Res Pract. 2022;32(3):e3232221. https://doi.org/10.17061/phrp3232221
McCullough ML, Chantaprasopsuk S, Islami F, Rees-Punia E, Um CY,Wang Y, et al. Association of socioeconomic and geographic factors withdiet quality in US adults. JAMA Netw Open. 2022;5(6):e2216406. https://doi.org/10.1001/jamanetworkopen.2022.16406
Rodríguez-Ramírez S, Gaona-Pineda EB, Martínez-Tapia B, Arango-Angarita A, Kim-Herrera EY, Valdez-Sánchez A, et al. Consumo de gruposde alimentos y su asociación con características sociodemográficas enpoblación mexicana. Ensanut 2018-19. Salud Publica Mex. 2020;62(6):693-703. https://doi.org/10.21149/11529
Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero A, Gaona-Pineda EB, et al. Metodología de laEncuesta Nacional de Salud y Nutrición 2020 sobre Covid-19. SaludPublica Mex. 2021;63(3):444-51. https://doi.org/10.21149/12580
Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, Gaona-Pineda EB, et al. Metodología dela Encuesta Nacional de Salud y Nutrición 2021. Salud Publica Mex.2021;63(6):813-8. https://doi.org/10.21149/13348
Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arrendondo S, Colchero MA, Gaona-Pineda EB, et al. Metodología de laEncuesta Nacional de Salud y Nutrición 2022 y planeación y diseño de laEnsanut Continua 2020-2024. Salud Publica Mex. 2022;64(5):522-9. https://doi.org/10.21149/14186
Romero-Martínez M, Shamah-Levy T, Barrientos-Gutiérrez T,Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, et al. EncuestaNacional de Salud y Nutrición 2023: metodología y avances de la EnsanutContinua 2020-2024. Salud Publica Mex. 2023;65(4):394-401. https://doi.org/10.21149/15081
Romero-Martínez M, Cuevas-Nasu L, Gaona-Pineda EB, Shamah-LevyT. Nota técnica de la Encuesta Nacional de Salud y Nutrición Continua2023: resultados del trabajo de campo. Salud Publica Mex. 2024;66(3):304-6. https://doi.org/10.21149/15604
Romero-Martínez M, Shamah-Levy T, Barrientos-Gutiérrez T,Cuevas-Nasu L, Bautista-Arredondo S, Colchero-Aragonés MA, et al.Metodología y análisis de la Encuesta Nacional de Salud y NutriciónContinua 2020-2024. Salud Publica Mex. 2024;66(6):879-85. https://doi.org/10.21149/16455
Denova-Gutiérrez E, Ramírez-Silva I, Rodríguez-Ramírez S, Jiménez-Aguilar A, Shamah-Levy T, Rivera-Dommarco JA. Validity of a foodfrequency questionnaire to assess food intake in Mexican adolescentand adult population. Salud Publica Mex. 2016;58(6):617-28. https://doi.org/10.21149/spm.v58i6.7862
Institute of Medicine of the National Academies. Dietary referenceintakes for energy, carbohydrate, fiber, fat, fatty acids, cholesterol, protein,and amino acids. Washington DC: National Academies Press, 2005. https://doi.org/10.17226/10490
Ramírez-Silva I, Jiménez-Aguilar A, Valenzuela-Bravo D, Martinez-TapiaB, Rodríguez-Ramírez S, Gaona-Pineda EB, et al. Methodology for estimatingdietary data from the semi-quantitative food frequency questionnaireof the mexican national health and nutrition survey 2012. Salud PublicaMex. 2016;58(6):629-38. https://doi.org/10.21149/spm.v58i6.7974
Bowman SA, Martin CL, Friday JE, Moshfegh AJ, Lin B-H, Wells HF.Methodology and user guide for the food intakes converted to retailcommodities databases: CSFII 1994-1996 and 1998; NHANES 1999-2000;and WWEIA, NHANES 2001-2002. U.S. Department of Agriculture,Agricultural Research Service, Beltsville, MD, and U.S. Department of Agriculture,Economic Research Service. Washington DC, 2011 [citado marzo2025]. Disponible en: https://www.ars.usda.gov/ARSUserFiles/80400530/pdf/ficrcd/FICRCD%20Methodology%20and%20User%20Guide.pdf
Vyas S, Kumaranayake L. Constructing socio-economic statusindices: how to use principal components analysis. Health Policy Plan.
2006;21(6):459-68. https://doi.org/10.1093/heapol/czl02920. Bland JM, Altman DG. Multiple significance tests: the Bonferronimethod. BMJ. 1995;310(6973):170. https://doi.org/10.1136/bmj.310.6973.170
Grdeń P, Jakubczyk A. Health benefits of legume seeds. J Sci Food Agric.2023;103(11):5213-20. https://doi.org/10.1002/jsfa.12585
Yanni AE, Iakovidi S, Vasilikopoulou E, Karathanos VT. Legumes: a vehiclefor transition to sustainability. Nutrients. 2023;16(1):98. https://doi.org/10.3390/nu16010098
Willett W, Rockström J, Loken B, Springmann M, Lang T, Vermeulen S,et al. Food in the anthropocene: the EAT–Lancet commission on healthydiets from sustainable food systems. Lancet. 2019;393(10170):447-92.https://doi.org/10.1016/S0140-6736(18)31788-4
Secretaría de Salud, Instituto Nacional de Salud Pública, Fondo de lasNaciones Unidas para la Infancia. Guías alimentarias, saludables y sosteniblespara la población mexicana 2023. México: SS, INSP, Unicef, 2023[citado marzo 2025]. Disponible en: https://educacionbasica.sep.gob.mx/wp-content/uploads/2023/09/GUIAS-ALIMENTARIAS-SALUDABLES-YSOSTENIBLES.pdf
Barquera S, Hernández-Barrera L, Oviedo-Solís C, Rodríguez-RamírezS, Monterrubio-Flores E, Trejo-Valdivia B, et al. Obesidad en adultos. SaludPublica Mex. 2024;66(4):414-24. https://doi.org/10.21149/15863
Shamah-Levy T, Gaona-Pineda EB, Cuevas-Nasu L, Valenzuela-BravoDG, Morales-Ruan C, Rodríguez-Ramírez S, et al. Sobrepeso y obesidaden población escolar y adolescente. Salud Publica Mex. 2024;66(4):404-13.https://doi.org/10.21149/15842
Ng SW, Rivera JA, Popkin BM, Colchero MA. Did high sugar-sweetenedbeverage purchasers respond differently to the excise tax on sugar-sweetenedbeverages in Mexico? Public Health Nutr. 2019;22(4):750-6. https://doi.org/10.1017/S136898001800321X
Martinez-Tapia B, Rodríguez-Ramírez S, Valenzuela-Bravo DG,Medina-Zacarías MC, Gaona-Pineda EB, Arango-Angarita A, et al.Cumplimiento de recomendaciones para una alimentación saludable ysostenible, Ensanut 2020-2023. Salud Publica Mex. 2025;67(3):259-68.https://doi.org/10.21149/16060
Bren d’Amour C, Pandey B, Reba M, Ahmad S, Creutzig F, Seto KC.Urbanization, processed foods, and eating out in India. Glob Food Sec.2020; 25:100361. https://doi.org/10.1016/j.gfs.2020.100361
Pandey B, Reba M, Joshi PK, Seto KC. Urbanization and food consumptionin India. Sci Rep. 2020;10(1):17241. https://doi.org/10.1038/s41598-020-73313-8
Purohit BM, Dawar A, Bansal K, Nilima, Malhotra S, Mathur VP, et al.Sugar-sweetened beverage consumption and socioeconomic status: a systematicreview and meta-analysis. Nutr Health. 2023;29(3):465-77. https://doi.org/10.1177/02601060221139588
Oviedo-Solís CI, Monterrubio-Flores EA, Rodríguez-Ramírez S, CedielG, Denova-Gutiérrez E, Barquera S. A semi-quantitative food frequencyquestionnaire has relative validity to identify groups of NOVA food classificationsystem among Mexican adults. Front Nutr. 2022;9:737432. https://doi.org/10.3389/fnut.2022.737432