Intensive Lifestyle Intervention for Cardiometabolic Prevention Implemented in Healthcare: Higher Risk Predicts Premature Dropout.

ABSTRACT:

Aims

Patient characteristics and treatment setting are potential predictors of premature dropout from lifestyle interventions, but their relative importance is unknown.

Methods

From the quality registry of the unit for behavioral medicine, Umeå University hospital, we identified 2589 patients who had been enrolled in a multimodal lifestyle intervention for cardiometabolic risk reduction between 2006 and 2015. Baseline characteristics predicting dropout before 1-year follow-up were selected by a stepwise logistic regression algorithm.

Results

Better physical health and older age predicted full participation, with odds ratios for premature dropout (ORs) of .44 (95% confidence interval (CI) .31-.63), and .47 (95% CI .34-.65) in the highest compared to the lowest quartile

SUBMITTER: Krachler B 

PROVIDER: S-EPMC11562446 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature