Background: Previous studies have focused on demographic factors that might predict non-completion of pulmonary rehabilitation (PR). We aimed to identify key modifiable factors that promote completion of PR. Methods: A mixed methods survey was offered to participants completing a discharge assessment following PR. Descriptive statistics and inductive thematic analysis were used to analyse the survey responses, with investigator triangulation. Results: 62 of 187 (33%) patients attending a PR discharge assessment between November 2022 and April 2023 returned the anonymised survey. Desire to improve health and wellbeing was the main reason for both initially committing to a course and for continuing with PR past transient thoughts of leaving. The positive impact of staff was the second most common reason. The enjoyment of the PR programme, being held accountable to attend classes, and the importance of other group members were other key themes identified. Conclusions: In conclusion, our findings suggest PR services need to implement strategies which ensure regular promotion and reinforcement of the health benefits of PR as well as implementation of PR modalities which best monopolise on the positive impact skilled staff have on motivating patients to complete PR.

UNASSIGNED: To identify baseline demographic, clinical, and psychosocial predictors of exercise intervention adherence in the Studies of a Targeted Risk Reduction Intervention through Defined Exercise (STRRIDE) trials.
UNASSIGNED: A total of 947 adults with dyslipidemia or prediabetes were enrolled into an inactive control group or one of ten exercise interventions with doses of 10-23 kcal/kg/week, intensities of 40-80% of peak oxygen consumption, and training for 6-8-months. Two groups included resistance training. Mean percent aerobic and resistance adherence were calculated as the amount completed divided by the prescribed weekly minutes or total sets of exercise times 100, respectively. Thirty-eight clinical, demographic, and psychosocial measures were considered for three separate models: 1) clinical + demographic factors, 2) psychosocial factors, and 3) all measures. A backward bootstrapped variable selection algorithm and multiple regressions were performed for each model.
UNASSIGNED: In the clinical and demographic measures model (n=947), variables explained 16.7% of the variance in adherence (p<0.001); lesser fasting glucose explained the greatest amount of variance (partial R2 = 3.2%). In the psychosocial factors model (n=561), variables explained 19.3% of the variance in adherence (p<0.001); greater 36-Item Short Form Health Survey (SF-36) physical component score explained the greatest amount of variance (partial R2 = 8.7%). In the model with all clinical, demographic, and psychosocial measures (n=561), variables explained 22.1% of the variance (p<0.001); greater SF-36 physical component score explained the greatest amount of variance (partial R2 = 8.9%). SF-36 physical component score was the only variable to account for >5% of the variance in adherence in any of the models.
UNASSIGNED: Baseline demographic, clinical, and psychosocial variables explain approximately 22% of the variance in exercise adherence. The limited variance explained suggests future research should investigate additional measures to better identify participants who are at risk for poor exercise intervention adherence.