medigraphic.com
Instituto Nacional de Salud Pública

2023, Number 6

<< Back Next >>

salud publica mex 2023; 65 (6)

Consumption trends of fruits, vegetables and legumes in Mexican adults. Ensanut 2012-2022

Medina-Zacarías MC, Rodríguez-Ramírez S, Martinez-Tapia B, Valenzuela-Bravo DG, Gaona-Pineda EB, Arango-Angarita A, Shamah-Levy T

Language: Spanish
References: 39
Page: 592-602
PDF size: 362.14 Kb.


ABSTRACT

Objective. To assess changes from 2012 to 2020-2022 in the consumption and percentage of adults in compliance with World Health Organization (WHO) and EAT-Lancet Commission on Food, Planet, Health recommendations for fruits, vegetables, and legumes in Mexican adults. Materials and methods. We analyzed data from adults≥20 years old (n=29 757), with information of food frequency questionnaire from the 2012-2022 Mexican National Health and Nutrition Surveys. Median consumption and the percentage of the population that achieve WHO and EAT-Lancet recommendations of fruits, vegetables and legumes were estimated through quantile regression models and logistic regression models, respectively. Both regression models were function of the survey year and study covariates. Results. From 2012 to 2020-2022, fruit consumption remained constant over time (113.5-131 g/day) and vegetables consumption increased (from 83 to109 g/day), while legume consumption decreased (from 10 to 7.7 g/day). A low percentage of adults (‹40%) were found to comply with the recommendations of these food groups, especially in the legume group (‹1.5%), which remained constant throughout the 10 years analyzed. Conclusion. There is a decreasing trend in the consumption of legumes and the consumption of fruits and vegetables has remained low, so strategies to promote their consumption are urgently needed.


REFERENCES

  1. 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. The Lancet. 2019;393(10170):447-92.https://doi.org/10.1016/S0140-6736(18)31788-4

  2. Schwingshackl L, Hoffmann G, Kalle-Uhlmann T, Arregui M, Buijsse B,Boeing H. Fruit and vegetable consumption and changes in anthropometricvariables in adult populations: A systematic review and meta-analysisof prospective cohort studies. PLoS One. 2015;10(10):1-19. https://doi.org/10.1371/journal.pone.0140846

  3. Wang X, Ouyang Y, Liu J, Zhu M, Zhao G, Bao W, et al. Fruit and vegetableconsumption and mortality from all causes, cardiovascular disease, andcancer: Systematic review and dose-response meta-analysis of prospectivecohort studies. BMJ. 2014;349. https://doi.org/10.1136/bmj.g4490

  4. Tang J, Wan Y, Zhao M, Zhong H, Zheng J-S, Feng F. Legume and soyintake and risk of type 2 diabetes: a systematic review and meta-analysisof prospective cohort studies. Am J Clin Nutr. 2020;111(3):677-88. https://doi.org/10.1093/ajcn/nqz338

  5. Bielefeld D, Grafenauer S, Rangan A. The effects of legume consumptionon markers of glycaemic control in individuals with and without diabetesmellitus: a systematic literature review of randomised controlled trials.Nutrients. 2020;12(7):1-17. https://doi.org/10.3390/nu12072123

  6. Kolonel LN, Hankin JH, Whittemore AS, Wu AH, Gallagher RP, WilkensLR, et al. Vegetables, fruits, legumes and prostate cancer: a multiethniccase-control study. Cancer Epidemiol Biomarkers Prev. 2000;9(8):795-804[citado mayo, 2023]. Disponible en: http://aacrjournals.org/cebp/articlepdf/9/8/795/3257028/ce080000795p.pdf

  7. Klimenko NS, Tyakht AV, Popenko AS, Vasiliev AS, Altukhov IA, IschenkoDS, et al. Microbiome responses to an uncontrolled short-term dietintervention in the frame of the citizen science project. Nutrients.2018;10(5):1-18. https://doi.org/10.3390/nu10050576

  8. Food and Agriculture Organization of the United Nations. Fruit andvegetables – your dietary essentials. The International Year of Fruits andVegetables, 2021, background paper. Fruit and vegetables – your dietaryessentials. Roma: FAO, 2020 [citado mayo, 2023]. Disponible en: http://www.fao.org/documents/card/en/c/cb2395en

  9. Uauy R, Albala C, Kain J. Obesity trends in Latin America: transitingfrom under- to overweight. J Nutr. 2001;131(3):893S-99S. https://doi.org/10.1093/jn/131.3.893S

  10. Kovalskys I, Rigotti A, Koletzko B, Fisberg M, Gómez G, Herrera-Cuenca M, et al. Latin American consumption of major food groups:Results from the ELANS study. PLoS One. 2019;14(12):1-27. https://doi.org/10.1371/journal.pone.0225101

  11. Cusworth G, Garnett T, Lorimer J. Legume dreams: The contestedfutures of sustainable plant-based food systems in Europe. Glob EnvironChange. 2021;69. http://doi.org/10.1016/j.gloenvcha.2021.102321

  12. Shamah-Levy T, Vielma-Orozco E, Heredia-Hernández O, Romero-MartínezM, Mojica-Cuevas J, Cuevas-Nasu L, et al. Encuesta Nacional de Salud yNutrición 2018-19. Resultados nacionales. Cuernavaca: Instituto Nacional deSalud Pública, 2020 [citado mayo, 2023]. Disponible en: https://ensanut.insp.mx/encuestas/ensanut2018/doctos/informes/ensanut_2018_informe_final.pdf

  13. Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-NasuL, Bautista-Arredondo S, Colchero MA, et al. Encuesta Nacional de Saludy Nutrición 2021 sobre Covid-19. Resultados nacionales. Cuernavaca: INSP,2022 [citado mayo, 2023]. Disponible en: https://www.insp.mx/resources/images/stories/2022/docs/220801_Ensa21_digital_29julio.pdf

  14. Mejía-Rodríguez F, Mundo-Rosas V, Rodríguez-Ramírez S, HernándezFM, García-Guerra A, Rangel-Baltazar E, et al. High prevalence ofanemia in Mexican women in poverty, Ensanut 100k. Salud Publica Mex.2019;61(6):841-51. https://doi.org/10.21149/10558

  15. De la Cruz-Góngora V, Martínez-Tapia B, Cuevas-Nasu L, Rangel-BaltazarE, Medina-Zacarías MC, García-Guerra A, et al. Anemia, iron and zincdeficiencies, supplements consumption and morbidity in Mexican childrenaged 1 to 4: Analysis of Ensanut 100k. Salud Publica Mex. 2019;61(6):821-32. https://doi.org/10.21149/10557

  16. Barquera S, Hernández-Barrera L, Trejo-Valdivia B, Shamah-Levy T,Campos-Nonato I, Rivera-Dommarco JA. Obesidad en México, prevalenciay tendencias en adultos. Ensanut 2018-19. Salud Publica Mex.2020;62(6):682-92. https://doi.org/10.21149/11630

  17. Romero-Martínez M, Shamah-Levy T, Franco-Núñez A, VillalpandoS, Cuevas-Nasu L, Gutiérrez JP, Rivera-Dommarco JA. Encuesta Nacionalde Salud y Nutrición 2012: diseño y cobertura. Salud Publica Mex.2013;55(supl 2):332-40. [citado mayo, 2023]. Disponible en: https://www.scielo.org.mx/pdf/spm/v55s2/v55s2a33.pdf

  18. Romero-Martínez M, Shamah-Levy T, Cuevas-Nasu L, Méndez Gómez-Humarán I, Gaona-Pineda E, Gómez-Acosta L, et al. Diseño metodológicode la Encuesta Nacional de Salud y Nutrición de Medio Camino 2016.Salud Publica Mex. 2017;59(3):299-305. https://doi.org/10.21144/8593

  19. Romero-Martínez M, Shamah-Levy T, Vielma-Orozco E, Heredia-Hernández O, Mojica-Cuevas J, Cuevas-Nasu L, et al. Encuesta Nacional deSalud y Nutrición 2018-19: metodología y perspectivas. Salud Publica Mex.

  20. 2019;61(6):917-23. https://doi.org/10.21149/1109520. Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero A, Gaona-Pineda EB, et al. Metodología de la EncuestaNacional de Salud y Nutrición 2020 sobre Covid-19. Salud PublicaMex. 2021;63(3):444–51. https://doi.org/10.21149/12580

  21. 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

  22. 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

  23. Denova-Gutiérrez E, Ramírez-Silva I, Rodríguez-Ramírez S, Jiménez-AguilarA, Shamah-Levy T, Rivera-Dommarco JA. Validity of a food frequency questionnaireto assess food intake in Mexican adolescent and adult population. SaludPublica Mex. 2016;58(6):617-28. https://doi.org/10.21149/spm.v58i6.7862

  24. Denova-Gutiérrez E, Tucker KL, Salmerón J, Flores M, Barquera S. Relativevalidity of a food frequency questionnaire to identify dietary patternsin an adult Mexican population. Salud Publica Mex. 2016;58(6):608-16.https://doi.org/10.21149/spm.v58i6.7842

  25. Shamah-Levy T, Ruiz-Matus C, Rivera-Dommarco J, Kuri-Morales P,Cuevas-Nasu L, Jiménez-Corona ME, et al. Encuesta Nacional de Salud yNutrición de Medio Camino 2016. Resultados Nacionales. Cuernavaca:Instituto Nacional de Salud Pública, 2017 [citado mayo, 2023]. Disponible en:https://www.insp.mx/resources/images/stories/2017/Avisos/docs/180315_encuesta_nacional_de_salud_y_nutricion_de_medio_Ca.pdf

  26. Gaona-Pineda EB, Rodríguez-Ramírez S, Medina-Zacarías MC, Valenzuela-Bravo DG, Martinez-Tapia B, Arango-Angarita A. Consumidores de gruposde alimentos en población mexicana. Ensanut Continua 2020-2022. SaludPublica Mex. 2023;65(supl 1):s248-58. https://doi.org/10.21149/14785

  27. Institute of Medicine. Dietary reference intakes for energy, carbohydrate,fiber, fat, tatty acids, cholesterol, protein and amino acids. WashingtonDC: National Academy Press, 2005. https://doi.org/10.17226/10609

  28. Frankenfield D, Roth-Yousey L, Compher C. Comparison of predictiveequations for resting metabolic rate in healthy nonobese and obese adults:A systematic review. J Am Diet Assoc. 2005;105(5):775-89. https://doi.org/10.1016/j.jada.2005.02.005

  29. 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

  30. Centro Nacional de Alimentación y Nutrición. Instituto Nacional de Salud.Ministerio de Salud de Perú. II Tabla de factores de conversión de pesode alimentos cocidos a crudos. Perú: Ministerio de Salud, 2014 [citado junio11, 2023]. Disponible en: https://web.ins.gob.pe/sites/default/files/Archivos/cenan/deprydan/tablasAuxiliares/2014/7_TAFERA_2_compressed.pdf

  31. Gutiérrez JP, Rivera-Dommarco JA, Shamah-Levy T, Villalpando-HernándezS, Franco A, Cuevas-Nasu L, et al. Encuesta Nacional de Salud yNutrición 2012. Resultados Nacionales. Cuernavaca: Instituto Nacional deSalud Pública, 2012 [citado junio 11, 2023]. Disponible en: https://ensanut.insp.mx/encuestas/ensanut2012/doctos/informes/ENSANUT2012ResultadosNacionales.pdf

  32. 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/czl029

  33. Lee-Kwan SH, Moore LV, Blanck HM, Harris DM, Galuska D. Disparitiesin state-specific adult fruit and vegetable consumption-United States,2015. MMWR Morb Mortal Wkly Rep. 2017;66(45):1241-7. https://doi.org/10.15585/mmwr.mm6645a1

  34. Lee SH, Moore LV, Park S, Harris DM, Blanck HM. Adults meeting fruitand vegetable intake recommendations - United States, 2019. MMWR MorbMortal Wkly Rep. 2022;71(1):1-9. https://doi.org/10.15585/mmwr.mm7101a1

  35. Chapman K, Goldsbury D, Watson W, Havill M, Wellard L, Hughes C,et al. Exploring perceptions and beliefs about the cost of fruit and vegetablesand whether they are barriers to higher consumption. Appetite.2017;113:310-9. https://doi.org/10.1016/j.appet.2017.02.043

  36. Pérez-Tepayo S, Rodríguez-Ramírez S, Unar-Munguía M, Shamah-LevyT. Trends in the dietary patterns of Mexican adults by sociodemographiccharacteristics. Nutr J. 2020;19(1). https://doi.org/10.1186/s12937-020-00568-2

  37. Aburto TC, Batis C, Pedroza-Tobías A, Pedraza LS, Ramírez-Silva I,Rivera JA. Dietary intake of the Mexican population: comparing foodgroup contribution to recommendations, 2012-2016. Salud Publica Mex.2022;64(3):267-79. https://doi.org/10.21149/13091

  38. Rodríguez-Ramírez S, Martinez-Tapia B, González-Castell D, Cuevas-Nasu L, Shamah-Levy T. Westernized and diverse dietary patterns areassociated with overweight-obesity and abdominal obesity in Mexicanadult men. Front Nutr. 2022;9. https://doi.org/10.3389/fnut.2022.891609

  39. Andrade GC, Gombi-Vaca MF, Louzada ML da C, Azeredo CM, LevyRB. The consumption of ultra-processed foods according to eating outoccasions. Public Health Nutr. 2020;23(6):1041-8. https://doi.org/10.1017/S1368980019002623




2020     |     www.medigraphic.com