ResumoObjetivo: Identificar a prevalência e os fatores associados a quedas e quedas recorrentes em uma amostra de idosos que vivem na comunidade no município de Cuiabá-MT. Métodos: Estudo transversal, de base populacional, com idosos de 65 anos ou mais. Os domicílios foram arrolados por meio do sorteio de regiões censitárias, de acordo com a densidade populacional e o número de idosos em cada região. Foi utilizado um inquérito multidimensional contendo dados sociodemográficos, clínicos, psicológicos, de desempenho funcional e uma bateria de testes físicos. Resultados: A amostra foi composta por 391 participantes, com idade média (dp) de 72,4 (6,0) anos. Do total de participantes, 37,5% referiram ter caído no último ano e 16,5% relataram duas ou mais quedas. Cair foi associado a sintomas depressivos (OR=1,96; 95% IC 1,22-3,14, p=0,005); morar só (OR=2,83; 95% IC 1,57-5,12, p<0,001); baixa autoeficácia para quedas (OR=1,77; 95% IC 1,10-2,83, p=0,017); e artrite (OR= 2,10; 95% IC 1,34-3,29, p=0,001). Cair recorrentemente foi associado a: gênero feminino (OR=2,54; 95% IC 1,23-5,21, p=0,011); ter 80 anos e mais (OR=2,30; 95% IC 1,12-4,72, p=0,022); queixa de tontura (OR=1,91; 95% IC 1,04-3,49, p=0,035); morar só (OR=2,57; 95% IC 1,18, p=0,008); artrite (OR=1,94; 95% IC 1,51, p=0,027); e sintomas depressivos (OR=2,13 95% IC 1,88, p=0,013). Conclusão: Os fatores associados a quedas e quedas recorrentes modificáveis foram morar só, ter sintomas depressivos, baixa autoeficácia para quedas, tontura e artrite. Sugere-se que esses fatores sejam considerados em programas de prevenção de quedas nesta população.

Background Strength and muscle mass are predictors of relevant clinical outcomes in critically ill patients, but in hospitalized patients with COVID‐19, it remains to be determined. In this prospective observational study, we investigated whether muscle strength or muscle mass are predictive of hospital length of stay (LOS) in patients with moderate to severe COVID‐19 patients. Methods We evaluated prospectively 196 patients at hospital admission for muscle mass and strength. Ten patients did not test positive for SARS‐CoV‐2 during hospitalization and were excluded from the analyses. Results The sample comprised patients of both sexes (50% male) with a mean age (SD) of 59 (±15) years, body mass index of 29.5 (±6.9) kg/m2. The prevalence of current smoking patients was 24.7%, and more prevalent coexisting conditions were hypertension (67.7%), obesity (40.9%), and type 2 diabetes (36.0%). Mean (SD) LOS was 8.6 days (7.7); 17.0% of the patients required intensive care; 3.8% used invasive mechanical ventilation; and 6.6% died during the hospitalization period. The crude hazard ratio (HR) for LOS was greatest for handgrip strength comparing the strongest versus other patients (1.47 [95% CI: 1.07–2.03; P = 0.019]). Evidence of an association between increased handgrip strength and shorter hospital stay was also identified when handgrip strength was standardized according to the sex‐specific mean and standard deviation (1.23 [95% CI: 1.06–1.43; P = 0.007]). Mean LOS was shorter for the strongest patients (7.5 ± 6.1 days) versus others (9.2 ± 8.4 days). Evidence of associations were also present for vastus lateralis cross‐sectional area. The crude HR identified shorter hospital stay for patients with greater sex‐specific standardized values (1.20 [95% CI: 1.03–1.39; P = 0.016]). Evidence was also obtained associating longer hospital stays for patients with the lowest values for vastus lateralis cross‐sectional area (0.63 [95% CI: 0.46–0.88; P = 0.006). Mean LOS for the patients with the lowest muscle cross‐sectional area was longer (10.8 ± 8.8 days) versus others (7.7 ± 7.2 days). The magnitude of associations for handgrip strength and vastus lateralis cross‐sectional area remained consistent and statistically significant after adjusting for other covariates. Conclusions Muscle strength and mass assessed upon hospital admission are predictors of LOS in patients with moderate to severe COVID‐19, which stresses the value of muscle health in prognosis of this disease.

ObjectivesThis study evaluated the relationship between the skeletal muscle mass (SMM), obtained by predictive equations, and the body composition, nutritional aspects, functionality and physical performance in elderly people.MethodsThe sample consisted of adults aged 65 years or over from the cross-sectional study of the Brazilian Elderly Frailty Study Network, in Cuiabá, Mato Grosso State, Brazil. The anthropometric parameters, instrumental activities of daily living (IADL), Short Physical Performance Battery (SPPB), and handgrip strength (HGS) were evaluated. The SMM was estimated by 2 predictive anthropometric equations.ResultsBoth SMM equations correlated with age, anthropometric indices, SPPB, IADL, and HGS. However, only HGS and neck circumference strongly correlated in both equations, being higher in SMM II.ConclusionsIt seems that both equations are sensitive to obtain the SMM, contributing to the diagnosis of sarcopenia, nutritional status, and a physical performance condition.