Systematic review: mealtime behavior measures used in pediatric chronic illness populations

Katrina M Poppert1, Susana R Patton2, Kelsey B Borner2

  • 1Clinical Child Psychology Program, University of Kansas, Department of Pediatrics, University of Kansas Medical Center, and Center for Children's Healthy Lifestyles and Nutrition, Children's Mercy Hospital, Kansas City, MO, USA Clinical Child Psychology Program, University of Kansas, Department of Pediatrics, University of Kansas Medical Center, and Center for Children's Healthy Lifestyles and Nutrition, Children's Mercy Hospital, Kansas City, MO, USA kati.poppert@gmail.com.

Insights

This review assessed pediatric mealtime assessments, finding many direct observation and parent-report measures have a strong evidence base. Further research is recommended for developing and validating tools across diverse pediatric populations.

Area of Science:

  • Pediatric Health
  • Clinical Psychology
  • Evidence-Based Practice

Background:

  • Pediatric mealtime challenges impact children with chronic illnesses.
  • Reliable assessment tools are crucial for effective intervention.
  • Existing measures require evaluation for utility and psychometric properties.

Purpose of the Study:

  • To systematically review pediatric mealtime assessment tools.
  • To evaluate their utility and psychometric properties.
  • To apply evidence-based criteria for classification.

Main Methods:

  • Systematic review of pediatric mealtime behavior measures.
  • Inclusion criteria: use in at least one chronic illness pediatric population.
  • 23 measures reviewed (16 parent-/self-report, 7 direct observation).

Main Results:

  • 4 direct observation and 3 parent-report measures classified as 'well-established'.
  • 3 measures met criteria for 'approaching well-established'.
  • 13 measures categorized as 'promising'; primarily used in feeding disorders, CF, and ASD.

Conclusions:

  • A strong evidence base exists for many direct observation and parent-report pediatric mealtime assessments.
  • Some measures have supporting factor analyses.
  • Recommendations for future validation and development are provided.
Abstract