IntroductionPrevious cross-sectional studies have shown a high prevalence of chronic disease and disability among the elderly. Given Brazil's rapid aging process and the obvious consequences of the growing number of old people with chronic diseases and associated disabilities for the provision of health services, a need was felt for a study that would overcome the limitations of crosssectional data and shed some light on the main factors determining whether a person will live longer and free of disabling diseases, the so-called successful aging. The methodology of the first follow-up study of elderly residents in Brazil is presented.

Background The Short Physical Performance Battery (SPPB) is widely used to predict negative health-related outcomes in older adults. However, the cutoff point for the detection of the frailty syndrome is not yet conclusive. Objective The aim of this study was to determine the diagnostic value of the SPPB for detecting frailty in community-dwelling older adults. Design This was a population-based cross-sectional study focusing on households in urban areas. A total of 744 people who were 65 years old or older participated in this study. Methods Frailty was determined by the presence of 3 or more of the following components: unintentional weight loss, self-reported fatigue, weakness, low level of physical activity, and slowness. Diagnostic accuracy measures of the SPPB cutoff points were calculated for the identification of frailty (individuals who were frail) and the frailty process (individuals who were considered to be prefrail and frail). Receiver operating characteristic curves were constructed. Odds ratios for frailty and the frailty process and respective CIs were calculated on the basis of the best cutoff points. A bootstrap analysis was conducted to confirm the internal validity of the findings. Results The best cutoff point for the determination of frailty was ≤8 points (sensitivity = 79.7%; specificity = 73.8%; Youden J statistic = 0.58; positive likelihood ratio = 3.05; area under the curve = 0.85). The best cutoff point for the determination of the frailty process was ≤10 points (sensitivity = 75.5%; specificity = 52.8%; Youden J statistic = 0.28; positive likelihood ratio = 1.59; area under the curve = 0.76). The adjusted odds of being frail and being in the frailty process were 7.44 (95% CI = 3.90–14.19) and 2.33 (95% CI = 1.65–3.30), respectively. Limitations The external validation using separate data was not performed and the cross-sectional design does not allow SPPB predictive capacity to be established. Conclusions The SPPB might be used as a screening tool to detect frailty syndrome in community-dwelling older adults, but the cutoff points should be tested in another sample as a further validation step.

BackgroundGait speed is a strong predictor of a wide range of adverse health outcomes in older adults. Mean values for gait speed in community-dwelling older adults vary substantially depending on population characteristics, suggesting that social, biological, or health factors might explain why certain groups tend to self-select their gait speed in different patterns. The vast majority of studies reported in the literature present data from North American and European populations. There are few population-based studies from other regions with a different ethnicity and/or social and health conditions. To address this, the present study identified the mean usual and fast gait speeds in a representative multiracial population of community-dwelling older adults living in a developing country, and explored their association with sociodemographic, mental and physical health characteristics.MethodsThis was a cross-sectional population-based study of a sample of 137 men and 248 women, aged 65 years and over. Usual gait speed and fast gait speed were measured on a 4.6 m path. Participants were classified into slow, intermediate, and faster groups by cluster analysis. Logistic regression analysis was used to estimate the independent effect of each factor on the odds of presenting with a slower usual and slower fast gait speeds.ResultsParticipants had a mean (SD) usual gait speed of 1.11 (0.27) m/s and a mean fast gait speed of 1.39 (0.34) m/s. We did not observe an independent association between gait speed and race/ethnicity, educational level, or income. The main contributors to present a slower usual gait speed were low physical activity level, stroke, diabetes, urinary incontinence, high concern about falling, and old age. A slower fast gait speed was associated with old age, low physical activity, urinary incontinence and high concern about falling.ConclusionA multiracial population of older adults living in a developing country showed a similar mean gait speed to that observed in previously studied populations. The results suggest that low physical activity, urinary incontinence and high concern about falling should not be neglected and may help identify those who might benefit from early intervention.

We believe that our results highlight the need of not neglecting the risk of falls among active older adults with low perceived fall risk, particularly in those elders that show reduced stability in a small base of support and a lower leg strength. In addition, we suggest that elders with high perceived fall risk should be assessed using anticipatory postural adjustment tests. Particularly, our results may help physiotherapists to identify eligible elders with different perceptions of fall risk for tailored interventions aimed at reducing falls. Copyright © 2016 John Wiley & Sons, Ltd.

Object: to examine the characteristics to the last fall of Brazilian elderly persons who experienced falls in 2008 and 2009, and to identify if there is a relationship with sociodemographic characteristics, physical health, comorbidities, clinical conditions and the circumstances of the falls. Methods: a cross-sectional, population based study was carried out with participants aged 65 and older from Barueri in the state of São Paulo and Cuiabá in the state of Mato Grosso, Brazil. Households were enrolled within each census region according to population density and the number of elderly persons living in each region. A multidimensional questionnaire composed of sociodemographic factors and data regarding falls was used. Associations were analyzed using contingency tables, and Fisher's Exact or Pearson's Chi-square test was used. Results: 774 elderly people were included in the study, 299 of whom reported falling in the previous year. Of these, 176 (58.9%) had fallen once and 123 (41.1%) reported having fallen twice or more. Among fallers the mean age was 72.53 (±6.12) years and 214 (71.6%) were female. About 107 (35.8%) of the elderly reported having fallen forwards, 79 (26.4%) fell to the side and 42(14%) fell backwards. Regarding the circumstances of the falls, 107 (35.8%) reported having lost their balance, 79 (26.4%) said they had stumbled and 42 (14%) said they had slipped. There was an association between the mechanism and circumstances of the falls and having fallen once or twice or more. There was an association between the circumstances of falls and the number of medications taken. Conclusion: The characteristics of falls were different among elderly persons who had fallen once or twice or more, which may guide health professionals, the elderly and their families in relation to specific fall prevention strategies.