Logistic regression models with stepwise forward selection were used to explore possible predictors of maintenance of treatment and relapse.
Predictors of maintenance of remission were evaluated in that study, and the data will be reported in a separate manuscript.
Furthermore, in a post hoc analysis we calculated logistic regression models with stepwise forward selection to explore possible predictors of maintenance of treatment and the predictors of relapse.
Multiple logistic regression analysis demonstrated that the type of antipsychotic prescribed at baseline was the most important predictor of medication maintenance.
In fact, King and colleagues (1992) found self-efficacy to be the most consistent psychological predictor of exercise maintenance.
Regular exercise is generally recommended to maintain the beneficial effects of a weight loss (21, 22), and levels of physical activity are often referred to as the best predictor of weight maintenance after significant weight loss (22, 23).
Secondary aims were to evaluate the impact of the intervention on quality of life, perceived stress, happiness, satisfaction with life, sleep quality, exercise adherence, and exercise maintenance 12 months after study completion, and to identify predictors of exercise maintenance.
The strongest predictor of weight loss maintenance was attendance at weight loss maintenance group sessions.
This study of 577 out-of-treatment drug injectors was designed to assess predictors of methadone maintenance treatment entry, including offering free treatment coupons.
