RESUMEN
INTRODUCTION: High exercise adherence is a key factor for effective exercise programmes. However, little is known about predictors of exercise adherence to a multimodal machine-based training in older retirement home residents. AIMS: To assess exercise adherence and potential predictors of adherence. Furthermore, to evaluate user acceptance of the multimodal training and the change in exercise self-efficacy. METHODS: In this sub-analysis of the bestform-F study, a total of 77 retirement home residents ≥65 years (mean age: 85.6 ± 6.6 years, 77.9% female) participated in a 6-month machine-based resistance, coordination and endurance training. Attendance to the training was documented for each training session. To identify potential predictors a multiple linear regression model was fitted to the data. Analyzed predictors included age, sex, body mass index (BMI), physical function, exercise self-efficacy, and physical activity history. Different domains of user acceptance (e.g. safety aspects, infrastructure) and exercise self-efficacy were assessed by a questionnaire and the exercise self-efficacy scale (ESES), respectively. RESULTS: Mean exercise adherence was 67.2% (median: 74.4%). The regression model (R2 = 0.225, p = 0.033) revealed that the 6-minute walk test (6-MWT) at baseline significantly predicted exercise adherence (ß: 0.074, 95% confidence interval (CI): 0.006-0.142, p = 0.033). Different user domains were rated at least as good by 83.9%-96.9% of participants, reflecting high acceptance. No statistically significant change was found for exercise self-efficacy over 6 months (mean change: 0.47 ± 3.08 points, p = 0.156). CONCLUSION: Retirement home residents attended more than two thirds of offered training sessions and physical function at baseline was the key factor for predicting adherence. User acceptance of the training devices was highly rated. These findings indicate good potential for implementation of the exercise programme.
Asunto(s)
Entrenamiento Aeróbico , Entrenamiento de Fuerza , Humanos , Femenino , Anciano , Anciano de 80 o más Años , Masculino , Jubilación , Ejercicio Físico , Terapia por EjercicioRESUMEN
Purpose: Mobility is a crucial factor for independence and quality of life in old age. Nevertheless, many old people in retirement homes do not meet the physical activity recommendations. The aim of the Bestform-F - Best Function of Range of Motion feasibility study (bestform-F) was to evaluate the feasibility of implementing a machine-based multimodal exercise training program in older residents in retirement homes. Materials and Methods: The participants (n = 77) were recruited from two retirement homes and took part in a six-month multimodal exercise training program (2x/week, 45 minutes) on pneumatic strength training machines, a balance platform and bicycle ergometers. Feasibility criteria were recruitment number ≥ 35 participants within six months, dropout rate < 40% of participants within six months of exercise, and training adherence ≥ 50% of participants taking part in at least 50% of offered training sessions. Additionally, physical performance, fear of falling, cognitive function, and quality of life were assessed at baseline and after six months. Results: For the bestform-F study, 77 (85.6 ± 6.6 years; 78% women) out of 215 eligible residents from two senior residences were recruited. The dropout rate over six months was 10% (8/77 participants). The training adherence rate for the finishing participants was 77% (53/69 participants). In addition to the achieved feasibility criteria, significant improvements were recorded in the Chair Stand Test, Six-Minute Walk Test, and fear of falling after six months. Conclusion: All feasibility criteria have been fulfilled. The high number of recruited participants, the low dropout rate, and high adherence to the training program confirm the feasibility of a multimodal machine-based exercise training program offered to residents in retirement homes. The results provide a basis for a cluster-randomized controlled trial aimed at further investigating the efficacy of the bestform-F program.