Distinct clusters of stunted children in India: An observational study

Mark A Green1, Daniel J Corsi2, Ivan Mejía-Guevara3

  • 1Department of Geography and Planning, University of Liverpool, Liverpool, UK.

Maternal & Child Nutrition
|February 24, 2018
PubMed

Insights

Childhood stunting is not a single issue. Researchers found five distinct subgroups of stunted children, indicating varied experiences and risk factors. Parental characteristics significantly influence these subgroups.

Area of Science:

  • Public Health
  • Pediatrics
  • Human Nutrition

Background:

  • Childhood stunting is often viewed as a binary condition, overlooking the diverse experiences of affected children.
  • Existing research frequently isolates risk factors for stunting, neglecting their complex interactions.
  • A deeper understanding of heterogeneity within stunting is crucial for effective interventions.

Purpose of the Study:

  • To identify distinct subgroups among stunted children based on social, demographic, and health characteristics.
  • To investigate the influence of parental characteristics on the likelihood of a child belonging to these subgroups.

Main Methods:

  • Latent class analysis was applied to data from the 2005-2006 Indian National Family Health Survey (n=12,417 stunted children).
  • Multinomial logit regression was used to assess parental predictors of class membership.

Main Results:

  • Five distinct subgroups of stunted children were identified: 'poor, older, and poor health-related outcomes,' 'poor, young, and poorest health-related outcomes,' 'poor with mixed health-related outcomes,' 'wealthy and good health-related outcomes,' and 'typical traits.'
  • Maternal and paternal educational attainment, body mass index, and height were significant predictors of a child's subgroup classification.
  • Evidence of heterogeneity in risk factors and behaviors among stunted children was demonstrated.

Conclusions:

  • Childhood stunting is a multifaceted issue, not a singular concept, with multiple underlying experiences.
  • Recognizing these distinct subgroups is essential for tailoring interventions to specific needs.
  • A multidimensional approach to conceptualizing stunting is vital for improving intervention design and targeting.

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