ISSN: 0443-511
e-ISSN: 2448-5667
Herramientas del artículo
Envíe este artículo por correo electrónico (Inicie sesión)
Enviar un correo electrónico al autor/a (Inicie sesión)
Tamaño de fuente

Open Journal Systems

Patrones alimentarios de mujeres argentinas durante el puerperio en relación con factores socioeconómicos y sanitarios / Food patterns in Argentinian women related to socioeconomic and health factors during puerperium

Mariela Valentina Cortez, Agustín Ramiro Miranda, Ana Veronica Scotta, Laura Rosana Aballay, Elio Andrés Soria



Introducción: las elecciones alimentarias afectan la salud de las mujeres, cuyos requerimientos nutricionales varían durante el ciclo vital. No obstante, en Argentina se desconocen los alimentos elegidos por las mujeres durante el puerperio.

Objetivo: identificar los patrones alimentarios de mujeres argentinas durante el puerperio y su relación con las características socioeconómicas y sanitarias.

Método: se realizó un estudio transversal con 249 participantes, quienes respondieron sobre su frecuencia alimentaria. Se determinaron patrones por análisis factorial, cuya adherencia fue asociada a diferentes variables mediante correlación de Spearman y análisis multivariados.

Resultados: el análisis reveló tres patrones: macronutricional (PM), fitoquímico (PF) y energético (PE). Tener antecedentes familiares de enfermedades cardiometabólicas y realizar actividad física se asociaron con mayor adherencia al PM (razón de momios [RM]  = 2.69 y 2.68, respectivamente). Las mujeres sin empleo formal tuvieron menor adherencia al PF (RM = 0.49). Un bajo nivel educacional incrementó la adherencia al PE (RM = 2.20). El índice de masa corporal (IMC) se asoció inversamente al PF (rho = −0.16). El análisis de correspondencia reveló que la alta adherencia al PM y al PF, junto con una baja adherencia al PE, se asociaron con empleo formal, mayor nivel educativo, adecuada actividad física, lMC normal y una dieta diversa.

Conclusiones: las elecciones alimentarias estuvieron condicionadas por los antecedentes familiares patológicos, la actividad física, el empleo y el nivel educacional, identificándose tres patrones alimentarios propios de las mujeres, lo que constituye una contribución original para futuros abordajes nutricionales.


Introduction: Food choices and nutritional requirements of women, which vary throughout their life cycle, are unknown for Argentinian women.

Objective: To identify Argentinian women’s dietary patterns and their relation to socioeconomic and health characteristics, during puerperium.

Method: The food intake of 249 puerperal women was assessed for a cross-sectional study. Dietary patterns were determined by factor analysis, whose adherence was associated with different variables through Spearman’s correlation and multivariate analyses.

Results: Three patterns were revealed: macronutritional (MP), phytochemical (PP) and energetic (EP). Physical activity and family history of cardiometabolic diseases were positively associated to MP adherence (odds ratio [OR] = 2.69 and 2.68, respectively). Women without formal employment adhered less to PP (OR = 0.49). Low educational level increased adherence to EP (OR = 2.20). Body mass index correlated  inversely to PP (rho = −0.16). Correspondence analysis revealed that high adherence to MP and PP were associated with formal employment, high educational level, adequate physical activity, normal body mass index and a diverse diet.

Conclusion: Food choices were conditioned by family disease, physical activity, employment, and educational level. We identified three dietary patterns in postpartum women, which constitute an original contribution to future nutritional approaches.

Palabras clave

Análisis Factorial; Preferencias Alimentarias; Evaluación Nutricional; / epidemiología; Mujeres // Factor Analysis, Statistical; Food Preferences; Nutrition Assessment; / epidemiology; Women

Texto completo:

PDF HTML PubMed psd


Marchesino MA, Cortez MV, Albrecht C, Aballay LR, Soria EA. Modificaciones en el nivel de anión superóxido en leche materna, según la ingesta de flavonoides y carotenoides. Salud Publica Mex. 2017;59(5):526-31.


Olagnero G, Barretto L, Terraza R, Wiedemann A, Poy M, López L. Alimentación de la mujer en período de lactancia: una revisión. Actualización en Nutrición. 2017;18(3):99-105.


Organización Mundial de la Salud. Plan de aplicación integral sobre nutrición materna, del lactante y del niño pequeño. Ginebra: OMS; 2014 p. 1-30.


Faria-Schützer DB, Surita FG, Rodrigues L, Turato ER. Eating behaviors in postpartum: a qualitative study of women with obesity. Nutrients. 2018;10(7):E885.


De Castro MB, Sichieri R, Barbosa Brito FdS, Nascimento S, Kac G. Mixed dietary pattern is associated with a slower decline of body weight change during postpartum in a cohort of Brazilian women. Nutr Hosp. 2014;29(3):519-25.


Ocké MC. Evaluation of methodologies for assessing the overall diet: dietary quality scores and dietary pattern analysis. Proc Nutr Soc. 2013;72(2):191-9.


Miranda AR, Rivadero L, Serra SV, Soria EA. Multi-domain self-report assessment of fronto-executive complaints in Spanish-speaking adults. Psychol Neurosci. 2020;13:357-74.


Tumas N, Niclis C, Aballay LR, Osella AR, Díaz MdP. Traditional dietary pattern of South America is linked to breast cancer: an ongoing case–control study in Argentina. Eur J Nutr. 2014;53(2):557-66.


Bzikowska-Jura A, Czerwonogrodzka-Senczyna A, Olędzka G, Szostak-Węgierek D, Weker H, Wesołowska A. Maternal nutrition and body composition during breastfeeding: association with human milk composition. Nutrients. 2018;10:E1379.


Chen Y, Fang W, Wang C, Kao T, Chang Y, Yang H, et al. Association of percentage body fat and metabolic health in offspring of patients with cardiovascular diseases. Sci Rep. 2018;8(1):13831.


Vera Andrade KL. Consumo de fitoquímicos y alimentos fuente en mujeres lactantes de Córdoba de diferentes estratos socioeconómicos (años 2013-2017). [Tesis de Maestría en Salud Materno-Infantil]. Córdoba: Facultad de Ciencias Médicas, Universidad Nacional de Córdoba; 2017.


Navarro A, Osella AR, Guerra V, Muñoz SE, Lantieri MJ, Eynard AR. Reproducibility and validity of a food-frequency questionnaire in assessing dietary intakes and food habits in epidemiological cancer studies in Argentina. J Exp Clin Cancer Res. 2001;20(3):365-70.


Navarro A, Cristaldo P, Andreatta MM, Muñoz SE, Díaz MdP, Lantieri MJ, et al. Atlas de Alimentos. Córdoba (Argentina): Universidad Nacional de Córdoba; 2007.


Bountziouka V, Panagiotakos D. The role of rotation type used to extract dietary patterns through principal component analysis, on their short-term repeatability. J Data Sci. 2012;10;19-36.


Pal M, Paul B, Dasgupta A. Dietary diversity among women of reproductive age: new evidence from an observational study in a slum of Kolkata. Int J Med Sci Public Health. 2017;6(8):1302-7.


Gomes CB, Malta MB, Papini SJ, Benício MHD, Corrente JE, Carvalhaes MABL. Adherence to dietary patterns during pregnancy and association with maternal characteristics in pregnant Brazilian women. Nutrition. 2019;62:85-92.


Rubinstein AL, Irazola VE, Calandrelli M, Elorriaga N, Gutiérrez L, Lanas F, et al. Multiple cardiometabolic risk factors in the Southern Cone of Latin America: a population-based study in Argentina, Chile, and Uruguay. Int J Cardiol. 2015;183:82-8.


Correa ML, Ojeda MS, Lo Presti MS. Consumo de prebióticos y probióticos en relación con marcadores de síndrome metabólico en estudiantes universitarios. Nutr Clin Diet Hosp. 2019;39(2):171-82.


Ritchie LD, Spector P, Stevens MJ, Schmidt MM, Schreiber GB, Striegel-Moore RH, et al. Dietary patterns in adolescence are related to adiposity in young adulthood in black and white females. J Nutr. 2007;137(2):399-406.


Sichieri R. Dietary patterns and their associations with obesity in the Brazilian city of Rio de Janeiro. Obes Res. 2002;10(1):42-8.


Savage JS, Fisher JO, Birch LL. Parental influence on eating behavior: conception to adolescence. J Law Med Ethics. 2007;35(1):22-34.


Lee C, Tsenkova VK, Boylan JM, Ryff CD. Gender differences in the pathways from childhood disadvantage to metabolic syndrome in adulthood: an examination of health lifestyles. SSM Popul Health. 2018;4:216-24.


Wadolowska L, Kowalkowska J, Lonnie M, Czarnocinska J, Jezewska-Zychowicz M, Babicz-Zielinska E. Associations between physical activity patterns and dietary patterns in a representative sample of Polish girls aged 13-21 years: a cross-sectional study (GEBaHealth Project). BMC Public Health. 2016;16:698.


Slagter SN, Corpeleijn E, van der Klauw MM, Sijtsma A, Swart-Busscher LG, Perenboom CWM, et al. Dietary patterns and physical activity in the metabolically (un)healthy obese: the Dutch Lifelines cohort study. Nutr J. 2018;17(1):18.


Jäger R, Kerksick CM, Campbell BI, Cribb PJ, Wells SD, Skwiat TM, et al. International Society of Sports Nutrition Position Stand: protein and exercise. J Int Soc Sports Nutr. 2017;14:20.


Nepal VP, Mgbere O, Banerjee D, Arafat RR. Disparities in fruits and vegetables consumption in Houston, Texas. J Prim Care Community Health. 2011;2(3):142-7.


Felder R, Patroni V. Precarious work in recession and growth: a new structural feature of labor markets in Argentina? Rev Radic Political Econ. 2018;50(1):44-65.


Kant AK. Dietary patterns and health outcomes. J Am Diet Assoc. 2004;104(4):615-35.


Biesbroek S, Kneepkens MC, van den Berg SW, Fransen HP, Beulens JW, Peeters PHM, et al. Dietary patterns within educational groups and their association with CHD and stroke in the European Prospective Investigation into Cancer and Nutrition-Netherlands cohort. Br J Nutr. 2018;119(8):949-56.


Lê J, Dallongeville J, Wagner A, Arveiler D, Haas B, Cottel D, et al. Attitudes toward healthy eating: a mediator of the educational level–diet relationship. Eur J Clin Nutr. 2013;67(8):808-14.


Noori MA, Ghiasvand R, Maghsoudi Z, Feizi A, Esmaillzadeh A, Adibi P, et al. Evaluation of dietary pattern stability and physical activity in three consecutive generations of women. Int J Public Health. 2016;61(1):29-38.


Prieto BM, Ruiz CH. Significados durante el puerperio: a partir de prácticas y creencias culturales. Aquichan. 2013;13(1):7-16.


Kornatowski BM, Comstock SS. Dietary diversity is inversely correlated with pre-pregnancy body mass index among women in a Michigan pregnancy cohort. PeerJ. 2018;6(9):e5526.


Amugsi DA, Lartey A, Kimani-Murage E, Mberu BU. Women’s participation in household decision-making and higher dietary diversity: findings from nationally representative data from Ghana. J Health Popul Nutr. 2016;35(1):16.


Enlaces refback

  • No hay ningún enlace refback.