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Long-Term Engagement and Motivation Through Innovative Strategies in Adapted Physical Activity
Aging is associated with progressive declines in physical, functional, and psychosocial capacities, leading to reduced autonomy, increased risk of falls, chronic diseases, and decreased quality of life. Physical inactivity is a major aggravating factor, despite strong evidence that regular physical activity helps prevent age-related decline. Adapted Physical Activity (APA) has demonstrated beneficial effects on physical function, mental health, pain, and healthcare utilization. However, long-term adherence to APA programs among older adults remains low, with fewer than 20% meeting World Health Organization recommendations. Therefore, innovative strategies are needed to improve sustained engagement in physical activity. This multicenter, randomized, single-blind interventional study aims to compare the effectiveness of different APA strategies on long-term engagement in physical activity among adults aged 60 years and older. A total of 600 participants will be randomized into four groups combining two key factors: (1) autonomy-based vs. non-autonomy-based approaches, and (2) classical APA vs. TEMPA-based APA programs. Each intervention consists of a 12-week program including 24 supervised sessions, with some groups incorporating a progressive transition toward autonomous practice. The primary outcome is long-term physical activity engagement assessed using the QAPPA questionnaire at baseline, 6 months, and 12 months. Secondary outcomes include: Objective and self-reported physical activity levels (questionnaires and wearable devices) Functional capacities (muscle strength, endurance, gait speed, balance, cardiorespiratory fitness) Motivational and perceptual factors (e.g., enjoyment, fatigue, perceived effort, motivation) Quality of life (EQ-5D-5L) Biological markers (inflammatory, metabolic, metabolomic, and epigenetic profiles) to identify predictors of adherence and physiological response Cost-effectiveness and cost-utility analyses (incremental cost-effecti
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