Attrition rate and predictors of a monitoring mHealth application in adolescents with obesity
Authors' conclusion
This study provides evidence for high attrition rates in mHealth interventions for adolescents with obesity and was the first to investigate psychological predictors of attrition to an mHealth monitoring tool in adolescents with obesity in treatment. Findings regarding predictors of attrition should be approached with caution due to the small sample size.
Study context
- Population
- Adolescents aged 12–16 years with obesity in multidisciplinary obesity treatment centres (outpatient or inpatient) in Belgium and France
- Participants
- 69 adolescents
- Exposure
- Outpatient vs inpatient obesity treatment
- Outcome
- Attrition rates of a monitoring mHealth app and predictors of attrition
- Follow-up
- 14 days
Methodological detailsmulticentre, Predictors tested by zero-inflated negative binomial regression
- Multicentre
- Predictors tested by zero-inflated negative binomial regression
Main finding
As reported in the abstract
Used the app for only 0-7 days
Observational data: associations, not effects.
Original publication
Attrition rate and predictors of a monitoring mHealth application in adolescents with obesity. Pediatr Obes. Published 7 September 2023. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →