The Obesity Parenting Intervention Scale: Factorial Validity and Invariance Among Head Start Parents

Roger Figueroa1, Jaclyn A Saltzman2, Alyssa Aftosmes-Tobio1

  • 1Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.

Insights

A new brief scale accurately measures obesity-related parenting practices in food, physical activity, and sleep for diverse families. This validated tool is suitable for intervention studies and diverse populations.

Area of Science:

  • Child Health
  • Obesity Prevention
  • Parenting Interventions

Background:

  • Obesity affects 15.7% of U.S. preschoolers, disproportionately impacting low-income and Spanish-speaking families.
  • Obesity-related parenting practices (food, physical activity, sleep) are key targets for interventions.
  • Existing measures lack brevity and validation for diverse populations in intervention settings.

Purpose of the Study:

  • To test the factorial validity of a brief obesity-related parenting practices scale.
  • To assess measurement invariance of the English and Spanish versions of the scale.
  • To evaluate the scale's invariance across mothers and fathers.

Main Methods:

  • Parents (n=578) from Head Start completed a brief survey on food, physical activity, and sleep parenting practices.
  • Confirmatory factor analysis tested a 3-factor model (food, physical activity, sleep).
  • Multi-group structural equation modeling assessed measurement invariance by language and parent gender.

Main Results:

  • The study supported a 3-factor model for obesity parenting practices.
  • Statistically significant measurement invariance was found across language (English/Spanish) and parent gender (mothers/fathers).
  • Internal consistency for the factors was adequate (α=0.65-0.80).

Conclusions:

  • The brief obesity-parenting scale demonstrates adequate factorial validity and measurement invariance.
  • The scale is validated for use in English and Spanish, and among mothers and fathers.
  • This validated measure has been integrated into an intervention for future sensitivity-to-change testing.
Abstract

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