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Physical Activity and Healthy Aging: Functional, Cognitive, and Sleep Predictors Associated with Fall Risk in Older
Marilia Salete Tavares1,2, Sara Lucia Silveira de Menezes1, Walace Monteiro1
1Exercise Physiology Laboratory, Postgraduate Program in Physical Activity Sciences, Universidade Salgado de Oliveira, Niterói 24030-060, Brazil.
Abstract:
Falls among older adults are a major public health concern due to their association with functional decline and increased healthcare utilization. This study investigated factors associated with fall occurrence by comparing older adults enrolled in a community-based physical activity program with sedentary older adults. This observational cross-sectional study included 67 older adults: 35 participants enrolled in the Niterói 60 Up program (G60UP; 68 ± 4 years) and 32 sedentary older adults in a sedentary comparison group (SCG; 70 ± 7 years). Assessments included anthropometric measurements, medication use, Timed Up and Go (TUG), Tinetti Performance-Oriented Mobility Assessment, Mini-Mental State Examination (MMSE), Pittsburgh Sleep Quality Index (PSQI), and orthostatic testing. Compared with the SCG, G60UP participants reported fewer falls during the previous year (0.26 ± 0.51 vs. 0.78 ± 0.83; p = 0.005), higher Tinetti scores (24.51 ± 2.54 vs. 18.28 ± 5.94; p < 0.001), shorter TUG times (8.66 ± 1.63 vs. 13.00 ± 4.31; p < 0.001), higher MMSE scores, better sleep quality (lower PSQI scores), and lower blood pressure and abdominal adiposity indicators. In the total sample, fall occurrence was associated with lower Tinetti scores (ρ = -0.416; p < 0.001), longer TUG times (ρ = 0.321; p = 0.008), older age (ρ = 0.328; p = 0.007), higher Conicity Index (ρ = 0.281; p = 0.021), and poorer sleep quality (ρ = 0.243; p = 0.047). No variable remained independently associated with falls in the exploratory multivariable logistic regression model. Participants enrolled in the 60 Up program presented more favorable functional, cognitive, sleep-related, and health-related profiles than those in the SCG. Due to the cross-sectional design, these findings should be interpreted as associations rather than causal relationships.
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