Does Childhood Diarrhea Influence Cognition Beyond the Diarrhea-Stunting Pathway?

Abstract

Diarrhea is a leading cause of morbidity among children under 5 years of age in low- and middle-income countries yet the additional effects and sequelae, such as cognitive impairment associated with diarrhea, have not been quantified. We quantified the association between diarrhea prevalence and cognitive outcomes while controlling for linear growth in 4 study populations. Cognition was assessed using different methods across sites and was expressed in standardized units. We built linear regression models for each study with standardized cognitive score as the outcome and diarrhea prevalence as the main predictor variable. We then conducted meta-analyses of the regression coefficients to generate pooled estimates of the association between diarrhea prevalence and cognition whilst controlling for anthropometric status and other covariates. Diarrhea was not a significant predictor of cognitive score in any site in the regression models or in the meta-analyses (Coefficient = 0.07; 95% CI: -0.1, 0.2). The length for age Z-score was negatively related to cognition in all sites (0.18; 95% CI: 0.14, 0.21), with coefficients remarkably similar across sites (Coefficient Range: 0.168-0.186). We did not demonstrate an association between diarrhea and cognition with stunting included in the model. The links between diarrhea, stunting, and cognition provide additional rationale for accelerating interventions to reduce diarrhea.

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Document Details

Document Type
Technical Report
Publication Date
Oct 31, 2012
Accession Number
ADA570236

Entities

People

  • AndrĂ©s G. Lescano
  • Christa L. Walker
  • Laura Lamberti
  • Linda Adair
  • Relana C. Pinkerton
  • Reynaldo Martorell
  • Richard L. Guerrant
  • Robert E. Black

Organizations

  • Johns Hopkins University

Tags

DTIC Thesaurus Topics

  • Coefficients
  • Cognition
  • Cognitive Impairment
  • Data Science
  • Data Sets
  • Department Of Defense
  • Diarrhea
  • Education
  • Factor Analysis
  • Families (Human)
  • Governments
  • Health
  • North Carolina
  • Public Health
  • Regression Analysis
  • United States
  • United States Government

Fields of Study

  • Medicine

Readers

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