Hostname: page-component-78c5997874-s2hrs Total loading time: 0 Render date: 2024-11-14T06:44:37.311Z Has data issue: false hasContentIssue false
  • English
  • Français

Measuring the intakes of foods and nutrients of marginal populations in north-west Mexico

Published online by Cambridge University Press:  22 December 2006

MI Ortega  and
ME Valencia
MI Ortega*
Affiliation:
Human Nutrition Department, Centro de Investigación en Alimentación y Desarrollo, A.C., Mexico
ME Valencia
Affiliation:
Nutrition Division, Centro de Investigación en Alimentación y Desarrollo, A.C., Mexico
*
*Corresponding author: Email [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Objective:

To describe methodological issues regarding the measurement of food intake of marginal populations in the north-west of Mexico.

Methods:

Dietary data from three sources were analysed. The Sonora State Food Basket Study (505 individuals from all ages, both sexes, high, medium and low income, and from urban and rural settings), 144 individuals from rural Indian communities, and 152 low-income urban women. Methods of dietary data collection were single 24-hour recalls for the first two studies, and four non-consecutive 24-hour recalls as well as a food-frequency questionnaire (FFQ) for low-income urban women.

Results:

The food patterns in the three studies showed similar core foods; however, food diversity resulted in 19, 13 and 57 different foods reported by 90% of the population in the state, Indian communities and urban women, respectively. Mean intakes of selected food components in the sample of urban women vs. a representative sample of the population of the state were similar, although smaller variation in consumption was observed in urban women with repeated 24-hour recalls. Inter-individual variation in intake of food components was similar in the state and urban women samples, but the Indian communities showed lower coefficients of variation (CVs). Use of four 24-hour recalls decreased the inter-individual variation in food component intakes of low-income urban women, especially for vitamin intakes. The FFQ did not show an additional decrease in inter-individual variation for macronutrients, but reduced even more the CVs for vitamins. Intra-individual variation was higher than inter-individual variation for urban women's intakes when estimated by repeated 24-hour recalls. This effect was reversed when estimated by duplicate food frequencies. Ratios of intra-individual to inter-individual variation in food intake were lower for Mexican when compared with US women. These results should be considered, especially for association analysis of low-income women's diets and health outcomes.

Keywords

DietMarginal populationDietary methodology
Type
Research Article
Information
Public Health Nutrition , Volume 5 , Issue 6a , December 2002 , pp. 907 - 910
Copyright
Copyright © CAB International 2002

References

1Secretaría de Salud Pública (SSP). Encuesta Nacional de Enfermedades Crónicas. México: Dirección General de Epidemiología, SSP, 1993.Google Scholar
2González Caamaño, A, Pérez Balmes, J, Nieto Sánchez, CM, Vázquez Contreras, A, Gaytán Flores, E. Importancia de las enfermedades crónico-degenerativas dentro del panorama epidemiológico actual de México [Importance of chronic degenerative diseases in the current epidemiological panorama in Mexico]. Salud Pública Méx. 1986; 28(1): 3–13.Google Scholar
3Hernández-Avila, M, Romieu, I, Parra, S, Hernández-Avila, J, Madrigal, H, Willett, W. Validity and reproducibility of a food frequency questionnaire to assess dietary intake of women living in Mexico City. Salud Pública Méx. 1998; 39: 133–40.Google Scholar
4Quizan, T, Ortega, MI. Diseño y validación de una herramienta para identificar riesgo dietario en mujeres adultas de bajo ingreso [Design and validation of a food frequency questionnaire to evaluate the magnitude of non-communicable chronic diseases in women from northwest Mexico]. Nutr. Clin. 2000; 2: 128–35.Google Scholar
5Beaton, GH, Milner, J, Corey, P, McGuire, V, Cousins, M, Stewart, E, et al. Sources of variance in 24-hour dietary recall data: implications for nutrition study design and interpretation. Am. J. Clin. Nutr. 1979; 32: 2546–9.Google Scholar
6McPherson, RS, Kohl, HW III, García, G, Nichaman, MZ, Hanis, CL. Food-frequency questionnaire validation among Mexican–Americans: Starr County, Texas. Ann. Epidemiol. 1995; 5: 378–85.CrossRefGoogle ScholarPubMed
7Secretaría de Salud Pública, Dirección General de Estadística e Informática. Principales resultados de la estadística sobre mortalidad en México, 1997 [Results from health and mortality statistics in México, 1997]. Salud Pública Méx. 1998; 40(6): S17–23.Google Scholar
8Chávez, A, Chávez, M, Roldán, JA, Avila, A. La transición epidemiológica nacional en alimentación y nutrición. In: Doode, S, Pérez, EP, eds. Sociedad, Economía y Cultura Alimentaria. México: Centro de Investigación en Alimentación y Desarrollo, A.C. y Centro de Investigaciones y Estudios Superiores en Antropología Social, 1994; 273–302.Google Scholar
9 Secretaría de Educación Pública (SEP) y Desarrollo Integral de la Familia (DIF). Segundo Censo Nacional de Talla; en niños de primer año de primaria [Second elementary school height census]. SEP–DIF Nacional, 1994.Google Scholar
10Valencia, ME, Hoyos, LC, Ballesteros, MN, Ortega, MI, Palacios, MR, Atondo, JL. La dieta en Sonora: canasta de consumo de alimentos [Diet in Sonora: Food Basket Study]. Estud. Sociales. 1998; 8(15): 11–39.Google Scholar
11Valencia, ME, Esparza, J, Montesinos, H, Ravussin, E, Bennet, PH, Schulz, L. The diet of the Mexican Pima Indians: a potential environmental protective factor against type 2 diabetes and obesity. Br. J. Nutr. 2002; [submitted].Google Scholar
12Ortega, MI, Quizán, T, Morales, GG, Preciado, M. Cálculo de la ingestión dietaria y coeficientes de adecuación a partir de: registro de 24 horas y frecuencia de consumo de alimentos [Food consumption and diet adequation analysis: 24 hour-recall and food frequency questionnaires]. Serie Evaluación del Consumo de Alimentos 1999; 1: 1–48.Google Scholar
13Gebhardt, SE, Matthews, RH. Nutritive Value of Foods. US Department of Agriculture, Human Nutrition Information Service. Home and Garden Bulletin No. 72. Washington, DC: US Government Printing Office, 1988; 1–72.Google Scholar
14Instituto Nacional de la Nutrición Salvador Zubirán (INN). Subdirección de Nutrición Experimental y Ciencia de los Alimentos. Tablas de Composición de Alimentos [Food Composition Tables], edición de aniversario. México: INN, 1980; 1–248.Google Scholar
15Willett, W. Nutritional Epidemiology. Monographs in Epidemiology and Biostatistics. New York: Oxford University Press, 1990; 3–19, 69–91, 92–126, 245–71.Google Scholar