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App Engagement as a Predictor of Weight Loss in Blended-Care Interventions: Retrospective Observational Study Using
Marco Lehmann1, Lucy Jones2, Felix Schirmann1
1Oviva AG, Potsdam, Germany.
Journal of Medical Internet Research
|June 7, 2024
Summary
Higher app engagement in weight management interventions predicts greater early weight loss. This digital indicator can inform clinical actions for obesity treatment.
Area of Science:
- Obesity research
- Digital health interventions
- Behavioral science
Background:
- Early weight loss is a key predictor of success in obesity interventions.
- Limited reliable early predictors exist for weight management.
- Blended-care interventions offer new data collection opportunities.
Purpose of the Study:
- To analyze app engagement as a predictor of weight loss in blended-care interventions.
- To determine if higher app usage correlates with greater weight loss at 3 and 6 months.
Main Methods:
- Retrospective analysis of real-world data from 19,211 patients.
- Utilized principal component analysis to create an app engagement metric.
- Employed propensity score matching and linear regression to identify predictors.
Main Results:
- Higher app engagement predicted more weight loss at 3 months (P<.001) but not at 6 months (P=.59).
- Early app engagement predicted weight loss in Switzerland and Germany, but not the UK.
- Older age was associated with greater weight loss in the initial 3 months across countries.
Conclusions:
- Early app engagement is a valuable predictor of weight loss in blended-care interventions.
- App-derived data can support automated monitoring and clinical decision-making.
- Further research is needed to confirm the reliability of app engagement for predicting adherence and outcomes.
Keywords:
app engagementblended-caredigital healthmHealthmobile healthmobile phoneobesityreal-world datatechnology engagementweight lossweight managementMore Related Videos
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