Predictors of parent self-monitoring patterns in a family-based behavioral weight loss treatment program.
Int J Obes (Lond)
; 2024 Jul 15.
Article
en En
| MEDLINE
| ID: mdl-39009764
ABSTRACT
OBJECTIVE:
Self-monitoring dietary intake is a critical component of family-based intensive health behavior and lifestyle treatment for pediatric obesity, but adherence rates are often low. This study identifies predictors of parent self-monitoring rates during treatment.METHODS:
A secondary analysis of parent self-monitoring data from a randomized controlled trial involving 150 parent-child dyads. Patterns of self-monitoring were identified using a latent class mixed model approach. Logistic regression analyses evaluated predictors of self-monitoring patterns.RESULTS:
Latent class models identified two trajectory groups a high consistent self-monitoring group and a low-decreasing self-monitoring group. When compared to parents in the low group, parents in the high group lost more weight throughout treatment. Children in the high group had a similar trajectory for weight loss; however, the groups were not statistically different. Higher levels of family chaos and poorer family problem-solving skills were associated with higher odds of being in the low group.CONCLUSION:
This study identified two patterns of rates of parent self-monitoring, which were associated with parent weight loss and were differentiated by family chaos and poor problem-solving. These findings suggest that families with high levels of chaos and poor problem-solving could benefit from early intervention to improve outcomes in pediatric obesity treatment programs. TRIAL REGISTRATION Clinicaltrials.gov Identifier NCT01197443.
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Banco de datos:
MEDLINE
Idioma:
En
Año:
2024
Tipo del documento:
Article