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Living conditions and health have an effect on the nutritional status of children and adolescents' growth and development in poor environments. The aim of this study was to evaluate the association between household food security with nutrition. Indicators used were height for age (HA), weight for age (WA), and body composition. The study was cross-sectional. The sample size consisted of 112 children between 3 and 16 years old of both sexes, who belong to suburban communities of Baruta and Hatillo Municipality, as a part of a sub sample of the macro project "Assessment of Nutritional Status and Food Security in suburban communities and municipalities Baruta Hatillo" in Miranda State. The household food security was measured with the scale Lorenzana and Sanjur. Z scores were calculated for nutritional diagnosis. We applied a Spearman correlation (p <0.05) between categories of indicators. The 70.53% of households had some degree of food insecurity. HA showed 46.43% of deficit. We found nutritional deficient status in households with plenty of food security (26.92%), and adequate nutritional status in food insecurity households (70.17%). This study does not provide statistical association between household food insecurity and nutritional status. [ABSTRACT FROM AUTHOR]

Objective: The objective of this research is to analyze the nutritional status and household food security of a sample of healthy pregnant women who attend to external medicine service at Concepcion Palacios Maternity located in Caracas, Venezuela, and identify variables, which could predict the nutritional status of the evaluated group. Method: This cross sectional, descriptive, comparative study evaluates a sample of 89 pregnant women, between 14 and 44 years of age. Economical, social, demographic and alimentary consumption variables and nutritional conditions were studied. On the way, anthropometrics like weight, height, and middle-arm circumference and Household food security scale were obtained. In order to perform the descriptive statistic, bivariate, and multiple linear regression analysis required during the investigation, the software SPSS, version 12, was used. Results: The predictive variables considered for the evaluation of the actual nutritional status in pregnant women were: right middle-arm circumference, household food security level and the supplementation with vitamins and/or minerals. These variables explain 78,2% of the actual nutritional status variation in this sample. Therefore, this investigation highlights the importance of the research on simple variables, as a good prediction of the actual nutritional status in pregnant women, with acceptable precision values and without requiring hightrained personnel to perform it. Under these findings, is very important the study of more predictive variables to evaluate the nutritional and alimentary conditions, with practical and easy mechanisms that can be applied by non-technical personnel. Conclusion: It is recommended to go deep into the study of methods, which evaluate the nutrition in an easy and practical way, applied by non-technical personnel, besides continuing the validation process of the variable combinations determined as predictive of the nutritional status. [ABSTRACT FROM AUTHOR]