TY - JOUR
T1 - Identification of Measurement Needs to Prevent Childhood Obesity in High-Risk Populations and Environments
AU - Foti, Kathryn E.
AU - Perez, Crystal L.
AU - Knapp, Emily A.
AU - Kharmats, Anna Y.
AU - Sharfman, Amanda S.
AU - Arteaga, S. Sonia
AU - Moore, Latetia V.
AU - Bennett, Wendy L.
N1 - Funding Information:
This work was funded by The JPB Foundation (Grant Number 949).
Funding Information:
This work was funded by The JPB Foundation (Grant Number 949). Dr. Arteaga is now a Program Official of the Environmental influences on Child Health Outcomes Program Office, Office of the Director, National Institutes of Health, Bethesda, MD. No financial disclosures were reported by the authors of this paper. The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention, NIH, or HHS.
Publisher Copyright:
© 2020 American Journal of Preventive Medicine
PY - 2020/11
Y1 - 2020/11
N2 - 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.
AB - 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.
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U2 - 10.1016/j.amepre.2020.05.012
DO - 10.1016/j.amepre.2020.05.012
M3 - Article
C2 - 32919827
AN - SCOPUS:85092692206
SN - 0749-3797
VL - 59
SP - 746
EP - 754
JO - American journal of preventive medicine
JF - American journal of preventive medicine
IS - 5
ER -