Multicomponent vs Pilates on Mass, Strength, and Physical Performance in Older Adults

Introduction: The aging process can result in several physiological changes, such as the loss of muscle mass, muscle strength, and physical performance, collectively defined as sarcopenia. Sarcopenia is considered one of the primary health challenges among older adults. To prevent this condition and improve related health outcomes, regular physical exercise is the most recommended strategy, with multicomponent exercises being particularly effective for older individuals. Pilates is another potential form of physical exercise that has gained popularity among older adults seeking to improve muscle mass, strength, and physical performance. However, significant gaps remain in the literature, with a notable lack of studies evaluating the efficacy of Pilates in improving sarcopenic outcomes. Objective: To compare the efficacy of multicomponent training programs versus Pilates in improving muscle mass, muscle strength, and physical performance in older adults. Methods: A total of 100 older adults aged 60 to 80 years, of both sexes, will be randomized into two intervention groups: the Multicomponent Training Group (n=50) and the Pilates Group (n=50). Evaluations will be conducted at three time points: baseline (before the intervention), mid-treatment (3 months), and post-treatment (6 months). The following instruments will be used: Dual-energy X-ray absorptiometry (DXA) will be used to assess muscle mass. Muscle strength will be evaluated using an isokinetic dynamometer for the lower limbs and a handgrip dynamometer for the upper limbs. Physical performance will be assessed through the Brazilian version of the Short Physical Performance Battery (SPPB), the gait speed test, and the Timed Up and Go (TUG) test. The Feeling Scale will be applied to determine the affective valence of the exercise programs. The Shapiro-Wilk test will be performed to check the normality of the data, Student's t-test or Mann-Whitney U test will be used depending on whether the distribution is parametric or non-parametric, and ANCOVA will be used to compare the groups post-intervention, considering a 95% confidence interval (p\<0.05). The data will be analyzed using SPSS 25.0 software.