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Family-Based Treatment Program Contributors to Child Weight Loss

BACKGROUND: Multi-component family-based behavioral treatment program for pediatric obesity (FBT) includes nutrition and physical activity education, as well as behavior therapy techniques. Studies suggest that parent weight loss is the best predictor of child weight loss in FBT. However, given the...

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Autores principales: Boutelle, Kerri N., Sim, D. Eastern Kang, Rhee, Kyung E., Manzano, Michael, Strong, David R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7738379/
https://www.ncbi.nlm.nih.gov/pubmed/32546860
http://dx.doi.org/10.1038/s41366-020-0604-9
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author Boutelle, Kerri N.
Sim, D. Eastern Kang
Rhee, Kyung E.
Manzano, Michael
Strong, David R.
author_facet Boutelle, Kerri N.
Sim, D. Eastern Kang
Rhee, Kyung E.
Manzano, Michael
Strong, David R.
author_sort Boutelle, Kerri N.
collection PubMed
description BACKGROUND: Multi-component family-based behavioral treatment program for pediatric obesity (FBT) includes nutrition and physical activity education, as well as behavior therapy techniques. Studies suggest that parent weight loss is the best predictor of child weight loss in FBT. However, given the important role that parents play in the implementation of FBT for their child, isolating the effects of specific FBT treatment component requires consideration of parent influences over time. METHODS: The following treatment components were assessed: stimulus control (high/low-fat food items in home), nutrition knowledge, energy intake, physical activity, and parental monitoring, as well as weekly anthropometric measures. Adjusted models of interest using inverse probability weights (IPW) were used to evaluate the effect of specific FBT components on time-varying child weight loss rate, adjusting for time-varying influence of parent weight loss. RESULTS: 137 parent-child dyads (CHILD: mean BMI = 26.4 (3.7) and BMIz=2.0 (0.3); mean age =10.4 (1.3); 64.1% female; ADULT: mean BMI = 31.9 (6.3); mean age= 42.9 (6.5); 30.1% Hispanic parents; 87.1% female) participated in an FBT program. In traditional model, adult BMI change (b=0.08; p<0.01) was the most significant predictor of child weight loss rates and no other treatment components were significant (p’s>0.1). In models that accounted for potential influences from parental weight loss and differential attendance during treatment period, lower availability of high-fat items (b=1.10, p<0.02), higher availability of low-fat items (b=3.73; p<0.01), and higher scores on parental monitoring practices (b=1.10, p<0.01) were associated with greater rates of weight-loss, respectively. CONCLUSION: Results suggest that outside of parent weight change, changes in stimulus control strategies at home and improved parental-monitoring practices are important FBT components for child weight loss.
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spelling pubmed-77383792020-12-23 Family-Based Treatment Program Contributors to Child Weight Loss Boutelle, Kerri N. Sim, D. Eastern Kang Rhee, Kyung E. Manzano, Michael Strong, David R. Int J Obes (Lond) Article BACKGROUND: Multi-component family-based behavioral treatment program for pediatric obesity (FBT) includes nutrition and physical activity education, as well as behavior therapy techniques. Studies suggest that parent weight loss is the best predictor of child weight loss in FBT. However, given the important role that parents play in the implementation of FBT for their child, isolating the effects of specific FBT treatment component requires consideration of parent influences over time. METHODS: The following treatment components were assessed: stimulus control (high/low-fat food items in home), nutrition knowledge, energy intake, physical activity, and parental monitoring, as well as weekly anthropometric measures. Adjusted models of interest using inverse probability weights (IPW) were used to evaluate the effect of specific FBT components on time-varying child weight loss rate, adjusting for time-varying influence of parent weight loss. RESULTS: 137 parent-child dyads (CHILD: mean BMI = 26.4 (3.7) and BMIz=2.0 (0.3); mean age =10.4 (1.3); 64.1% female; ADULT: mean BMI = 31.9 (6.3); mean age= 42.9 (6.5); 30.1% Hispanic parents; 87.1% female) participated in an FBT program. In traditional model, adult BMI change (b=0.08; p<0.01) was the most significant predictor of child weight loss rates and no other treatment components were significant (p’s>0.1). In models that accounted for potential influences from parental weight loss and differential attendance during treatment period, lower availability of high-fat items (b=1.10, p<0.02), higher availability of low-fat items (b=3.73; p<0.01), and higher scores on parental monitoring practices (b=1.10, p<0.01) were associated with greater rates of weight-loss, respectively. CONCLUSION: Results suggest that outside of parent weight change, changes in stimulus control strategies at home and improved parental-monitoring practices are important FBT components for child weight loss. 2020-06-16 2021-01 /pmc/articles/PMC7738379/ /pubmed/32546860 http://dx.doi.org/10.1038/s41366-020-0604-9 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Boutelle, Kerri N.
Sim, D. Eastern Kang
Rhee, Kyung E.
Manzano, Michael
Strong, David R.
Family-Based Treatment Program Contributors to Child Weight Loss
title Family-Based Treatment Program Contributors to Child Weight Loss
title_full Family-Based Treatment Program Contributors to Child Weight Loss
title_fullStr Family-Based Treatment Program Contributors to Child Weight Loss
title_full_unstemmed Family-Based Treatment Program Contributors to Child Weight Loss
title_short Family-Based Treatment Program Contributors to Child Weight Loss
title_sort family-based treatment program contributors to child weight loss
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7738379/
https://www.ncbi.nlm.nih.gov/pubmed/32546860
http://dx.doi.org/10.1038/s41366-020-0604-9
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