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A profile for predicting attrition from exercise in older adults
Sean P Mullen1, Thomas R Wójcicki, Emily L Mailey
1Department of Kinesiology and Community Health, University of Illinois, Freer Hall 227, 906 S. Goodwin Ave, Urbana, IL 61801, USA. spmullen@illinois.edu
Summary
Predicting attrition in older adults
Area of Science:
- Gerontology
- Exercise Science
- Clinical Trials
Background:
- Older adults often struggle with adherence to long-term exercise programs.
- Identifying predictors of attrition is crucial for successful intervention design.
Purpose of the Study:
- To develop a predictive profile for identifying older adults likely to drop out of a 12-month exercise program.
- To validate this profile for screening participants before study enrollment.
Main Methods:
- Latent profile analysis (LPA) was used on baseline data from 179 older adults in a randomized controlled trial.
- Data included functional performance (balance, stair test) and psychosocial measures (memory complaints, self-efficacy).
- Participants were categorized as 'dropouts' (n=35) or 'completers' (n=144).
Main Results:
- Two distinct profiles emerged based on memory complaints, self-efficacy, and functional performance.
- Dropouts were almost twice as likely to belong to a profile characterized by higher memory complaints, lower self-efficacy, poorer balance, and slower stair negotiation.
Conclusions:
- A validated profile can discriminate between older adults who will complete or drop out of exercise programs.
- This profile may aid in screening and tailoring interventions for better adherence in older adults.
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