Key result
Prescribed exercise adherence in older adults averages ~68%, linked to mental health and facility distance.
Why the study?
Prescribed exercise is promising to prevent adverse health outcomes in older adults, but adherence may be low, prompting an evaluation of adherence predictors.
What are the predictors of adherence to prescribed exercise programs in older adults with non-musculoskeletal indications?
Systematic Review (n=5,785)
What are the predictors of adherence to prescribed exercise programs in older adults with non-musculoskeletal indications?
In older adults prescribed exercise for non-musculoskeletal indications, self-efficacy and good mental health positively predict adherence, while depression and distance to the facility negatively predict adherence.
Clinicians should address depression and self-efficacy when prescribing exercise to older adults; extends evidence on modifiable adherence predictors for targeted trials.
BACKGROUND AND OBJECTIVES: Prescribed exercise to treat medical conditions and to prepare for surgery is a promising intervention to prevent adverse health outcomes for older adults; however, adherence to exercise programs may be low. Our objective was to identify and grade the quality of predictors of adherence to prescribed exercise in older adults. METHODS After registration (CRD42018108242), prospective experimental studies were identified using a peer-reviewed search strategy applied to MEDLINE, EMBASE, Cochrane and CINAHL from inception until April 23, 2019. Following independent and duplicate review of titles, abstracts and full texts, we included prospective studies with an average population age ≥ 65 years, where exercise was formally prescribed for a medical or surgical condition. We excluded studies where exercise was prescribed for a chronic musculoskeletal condition. Risk of bias was assessed using the Quality in Prognostic studies tool or Cochrane risk of bias tool, as appropriate. Predictors of adherence were identified, pooled, and graded for quality using an adaptation of the Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework for predictor studies. RESULTS We included 19 observational studies and 4 randomized controlled trials (n = 5785) Indications for exercise included cardiac (n = 6), pulmonary rehabilitation (n = 7), or other (n = 10; surgical, medical, and neurologic). Overall adherence rate was reported in 20 studies (range 21%-93%; mean 68%, standard deviation 23%). Moderate-quality evidence suggested that positive predictors of adherence were self-efficacy and good self-rated mental health; negative predictors were depression (high quality) and distance from the exercise facility. Moderate-quality evidence suggested that comorbidity and age were not predictive of adherence. CONCLUSIONS These findings can inform design of future exercise programs as well as identification of individuals who may require extra support to benefit from prescribed exercise.
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Shaw et al. (2020) conducted a systematic review in Non-musculoskeletal indications for exercise (medical or surgical conditions) (n=5,785). Prescribed exercise programs was evaluated on Adherence to prescribed exercise programs. In older adults prescribed exercise for non-musculoskeletal indications, the mean adherence rate was 68%, with higher self-efficacy and good mental health acting as positive predictors, and depression and distance from the facility as negative predictors.
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