title: [Stunting and emaciation in children under 5 in distinct regions and strata in Mexico].
abstract: Data from a National Nutrition Survey conducted in 1988 in a probability sample of 13,236 households and 17,426 children under five, representative at the national level and for four regions (North, Center, South, and Mexico City), were analyzed. Risks for wasting and stunting and odds ratios were obtained by region, by district according to proportion of indigenous population and by level of urbanization, by level of education of both parents, by gender, and by various combinations of the former strata. A high risk of stunting and a low risk of wasting were found. The risk of stunting is greater in predominantly indigenous and rural districts, in the South and Center, and in families of mothers with low education and poor housing conditions. The results can be used for food and nutrition policy planning and for targeting nutrition intervention programs.
authors.affiliation: Centro de Investigación en Salud Pública (CISP), Instituto Nacional de Salud Pública (INSP), México.
authors.forename: J
authors.initials: J
authors.lastname: Rivera-Dommarco
authors.forename: T
authors.initials: T
authors.lastname: González-Cossío
authors.forename: M
authors.initials: M
authors.lastname: Flores
authors.forename: M
authors.initials: M
authors.lastname: Hernández-Avila
authors.forename: M A
authors.initials: MA
authors.lastname: Lezana
authors.forename: J
authors.initials: J
authors.lastname: Sepúlveda-Amor
mesh_terms: D000886:Anthropometry; D001827:Body Height; D002675:Child, Preschool; D004614:Emaciation / Q000453:epidemiology*; D005260:Female; D006130:Growth Disorders / Q000453:epidemiology*; D006801:Humans; D016015:Logistic Models; D008297:Male; D008800:Mexico / Q000453:epidemiology; D016017:Odds Ratio; D015995:Prevalence; D012307:Risk Factors; D012424:Rural Population / Q000706:statistics & numerical data; D017678:Sex Distribution; D012959:Socioeconomic Factors; D014505:Urban Population / Q000706:statistics & numerical data