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Patterns and Predictors of Engagement With Digital Self-Monitoring During the Maintenance Phase of a Behavioral
Nicole Crane1, Charlotte Hagerman1, Olivia Horgan1
1Center for Weight, Eating, and Lifestyle Science, Department of Psychological and Brain Sciences, Drexel University, Philadelphia, PA, United States.
JMIR Mhealth and Uhealth
|July 18, 2023
Summary
Many adults struggle with sustained self-monitoring (SM) during weight loss maintenance, especially for diet and weight tracking. Factors like information avoidance and weight bias internalization influence engagement, suggesting a need for tailored interventions.
Area of Science:
- Behavioral science
- Health psychology
- Digital health
Background:
- Long-term self-monitoring (SM) is crucial for behavioral weight loss (BWL) treatments.
- Sustained engagement with digital SM tools during weight loss maintenance (WLM) remains a significant challenge.
- Understanding factors influencing SM engagement can help tailor interventions for better adherence.
Purpose of the Study:
- To explore digital SM patterns during WLM.
- To examine disengagement and reengagement dynamics.
- To assess the influence of weight-related information avoidance and weight bias internalization on SM engagement.
Main Methods:
- 72 adults in a BWL program tracked weight, diet, and exercise digitally.
- Adherence was measured by the percentage of days participants tracked each behavior monthly.
- Statistical analyses included repeated-measures ANOVA and multilevel modeling to assess adherence trends and individual-level factor influences.
Main Results:
- High adherence (≥50% days) during WLM was observed for exercise (61%), weight (40%), and diet (21%).
- Adherence decreased over time for all targets, with exercise tracking declining later than weight or diet.
- Weight-related information avoidance predicted faster dietary SM decline, while high weight bias internalization correlated with higher weight SM rates.
Conclusions:
- Adherence to daily SM during WLM is often low, particularly for diet and weight.
- Weight-related information avoidance and weight bias internalization are potential indicators of SM engagement.
- Interventions should incorporate strategies to support participants at risk of disengagement during WLM.
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