Prevalence of nutritional wasting in populations: building explanatory models using secondary data.

OBJECTIVE: To understand how social context affects the nutritional status of populations, as reflected by the prevalence of wasting in children under 5 years of age from Africa, Latin America, and Asia; to present a systematic way of building models for wasting prevalence, using a conceptual framew...

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Published in:Bulletin of the World Health Organization Vol. 80; no. 4; pp. 282 - 292
Main Authors: Fernandez ID, Himes JH, de Onis M
Format: research tables/charts Journal Article
Published: World Health Organization 2002
Online Access:View this record in EBSCOhost
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      pub: World Health Organization
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        atl: Prevalence of nutritional wasting in populations: building explanatory models using secondary data.
      aug:
        au:
          Fernandez ID
          Himes JH
          de Onis M
        affil: Assistant Professor, Dept of Community and Preventive Medicine, University of Rochester School of Medicine and Dentistry, 601 Elmwood Ave, Box 644, Rochester, NY 14642; diana_fernandez@urmc.rochester.edu
      sug:
        subj:
          Child Nutrition Disorders Epidemiology
          Child Nutrition
          Nutritional Status In Infancy and Childhood
          Africa
          Asia
          Latin America
          Cross Sectional Studies
          Ecological Research
          Survey Research
          T-Tests
          Goodness of Fit Chi Square Test
          Data Analysis, Statistical
          Data Analysis Software
          Regression
          Descriptive Statistics
          P-Value
          Nutrition Disorders Etiology
          Maternal-Child Care Trends
          Child, Preschool
          Human
          Child, Preschool: 2-5 years
      ab: OBJECTIVE: To understand how social context affects the nutritional status of populations, as reflected by the prevalence of wasting in children under 5 years of age from Africa, Latin America, and Asia; to present a systematic way of building models for wasting prevalence, using a conceptual framework for the determinants of malnutrition; and to examine the feasibility of using readily available data collected over time to build models of wasting prevalence in populations. METHODS: Associations between prevalence of wasting and environmental variables were examined in the three regions. General linear mixed models were fitted using anthropometric survey data for countries within each region. FINDINGS: Low birth weight (LBW), measles incidence, and access to a safe water supply explained 64% of wasting variability in Asia. In Latin America, LBW and survey year explained 38%; in Africa, LBW, survey year, and adult literacy explained 7%. CONCLUSION: LBW emerged as a predictor of wasting prevalence in all three regions. Actions regarding women's rights may have an effect on the nutritional status of children since LBW seems to reflect several aspects of the conditions of women in society. Databases have to be made compatible with each other to facilitate integrated analysis for nutritional research and policy decision-making. In addition, the validity of the variables representing the conceptual framework should be improved.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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