Abstract P080: Health-related Quality Of Life Predictors Of Exercise Intervention Dropout

Abstract

Introduction: Though many individuals know the health benefits of participating in exercise, few report sufficient activity to meet the US 2018 Physical Activity Guidelines. Current research assessing predictors of exercise adherence and dropout has primarily focused on cognitive factors, physiological factors, and demographic characteristics. The purpose of this analysis was to determine if baseline self-rated HrQoL measures are predictive of dropout from an exercise intervention across two STRRIDE trials. Methods: A total of 444 adults with dyslipidemia (STRRIDE AT/RT) or prediabetes (STRRIDE-PD) were randomized to one of seven exercise interventions, ranging from doses of 10-16 kcal/kg/week (KKW); intensities of 50-75% V̇O 2peak ; and durations of 6-9 months. Six groups included aerobic exercise, two groups included resistance training, and one group included dietary intervention (weight loss goal of 7%). Dropout was defined as a participant who did not complete the exercise intervention due to one or more of several reported reasons (e.g., time, motivation, re-occurring injury). Backwards stepwise logistic regression determined significant baseline HrQoL predictors of exercise intervention dropout, while controlling for age, sex, race, and intervention group assignment. Results: A total of 117 individuals were classified as being exercise intervention dropouts (STRRIDE AT/RT: n=55; STRRIDE-PD: n=62). In STRRIDE AT/RT, the logistic regression identified baseline sleep quality, sleep latency, sleep efficiency, sleep disturbance, bodily pain, and social functioning scores as predictors of dropout (R 2 =0.39). In STRRIDE-PD, the logistic regression identified baseline role-emotional, satisfaction with appearance, and physical component scores as predictors of dropout (R 2 =0.08). Conclusion: Among individuals with dyslipidemia, baseline HrQoL measures were able to explain about 39% of the variance in dropout from an exercise intervention, with primarily sleep measures, bodily pain, and social functioning being identified as important predictors of dropout. In contrast, among individuals farther along the disease spectrum, with prediabetes, baseline HrQoL measures only explained about 8% of the variance in dropout, with emotional well-being, perceived appearance, and physical function being important predictors of dropout. Future research should investigate molecular and biological predictors of dropout in combination with HrQoL, physiological, cognitive, and demographic factors to improve predictive power.