Identification of Measurement Needs to Prevent Childhood Obesity in High-Risk Populations and Environments

Kathryn E. Foti, Crystal L. Perez, Emily A. Knapp, Anna Y. Kharmats, Amanda S. Sharfman, S. Sonia Arteaga, Latetia V. Moore, Wendy L. Bennett

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Introduction: Children at highest obesity risk include those from certain racial/ethnic groups, from low-income families, with disabilities, or living in high-risk communities. However, a 2013 review of the National Collaborative for Childhood Obesity Research Measures Registry identified few measures focused on children at highest obesity risk. The objective is to (1) identify individual and environmental measures of diet and physical activity added to the Measures Registry since 2013 used among high-risk populations or settings and (2) describe methods for their development, adaptation, or validation. Methods: Investigators screened references in the Measures Registry from January 2013 to September 2017 (n=351) and abstracted information about individual and environmental measures developed for, adapted for, or applied to high-risk populations or settings, including measure type, study population, adaptation and validation methods, and psychometric properties. Results: A total of 38 measures met inclusion criteria. Of these, 30 assessed individual dietary (n=25) or physical activity (n=13) behaviors, and 11 assessed the food (n=8) or physical activity (n=7) environment. Of those, 17 measures were developed for, 9 were applied to (i.e., developed in a general population and used without modification), and 12 were adapted (i.e., modified) for high-risk populations. Few measures were used in certain racial/ethnic groups (i.e., American Indian/Alaska Native, Hawaiian/Pacific Islander, and Asian), children with disabilities, and rural (versus urban) communities. Conclusions: Since 2013, a total of 38 measures were added to the Measures Registry that were used in high-risk populations. However, many of the previously identified gaps in population coverage remain. Rigorous, community-engaged methodologic research may help researchers better adapt and validate measures for high-risk populations.

Original languageEnglish (US)
Pages (from-to)746-754
Number of pages9
JournalAmerican journal of preventive medicine
Issue number5
StatePublished - Nov 2020

ASJC Scopus subject areas

  • Epidemiology
  • Public Health, Environmental and Occupational Health


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