Aim: describe the methodological approach adopted to build a Brazilian database of LCTFs in the country. Methods: This exploratory research was conducted between August 2020 and 2021 based on primarily publicly accessible data. First, the database of the Sistema Único de Assistência Social for 2019 was adopted as the primary source of information. In addition, public agencies and managers were consulted and invited to share their databases. Likewise, researchers and private entities also collaborated by making their spreadsheets available. The information collected was placed in individual spreadsheets for each Brazilian state. LTCFs not catering to older adults (aged 60 and over) were excluded. Duplicate data were excluded when overlaps were identified for each new aggregated source. Results amp; Discussion: This brief communication describes the methodology adopted for mapping the current status of Brazilian LTCFs. Despite its caveats, this study represents an important advance in the identification, characterization, and monitoring of these services nationwide. A total of 5769 facilities were found in the 2019 SUAS census. After excluding facilities not caring for residents aged 60 or over, this total decreased to 2381 LTCFs. Consolidating and filtering the information from multiple data sources led to the identification of 7029 LTCFs for the country as a whole.

Introduction: Mortality rates due to COVID-19 in older people living in long-term care homes reach 80% in some countries. In Brazil, little is known about the incidence and mortality in this population. Objective: To describe the occurrence of COVID-19 infection and mortality in care homes for the older people in Brazil. Methods: Cross-sectional and descriptive study using primary and secondary sources and non-probabilistic sampling. Between April and June 2020, through an electronic questionnaire, care homes administrators from all over Brazil were invited to report the occurrence of infection and mortality of residents by COVID-19. In addition, an active search for data was carried out with the services of the State Public Prosecutor Offices, State Health Departments and the Unified Social Assistance System. The data were analyzed using descriptive statistics. Results: Information from 1,802 care homes from 11 states was analyzed, where 42,216 older people lived. The incidence rate of COVID-19 was 6.14%, and 458 deaths were recorded in the period, with a case-fatality rate of 17.65%. Conclusion: The incidence and fatality observed in this study were lower than the rates observed in other countries. However, given the limitations regarding the collection of information and other barriers to the study, new structured data sources are essential for understanding the spread of the virus in care homes in the country.

Introdução: As taxas de mortalidade pela COVID-19 em idosos que vivem em Residenciais de Cuidado de Longa Duração (RCLD) chegam a 80% em alguns países. No Brasil, pouco se conhece sobre a incidência e mortalidade nesta população. Objetivo: Descrever a ocorrência da infecção e mortalidade por COVID-19 em RCLD para idosos no Brasil. Metodologia: Estudo transversal e descritivo com uso de fontes primárias e secundárias e amostragem não probabilística. Entre abril e junho de 2020, por meio de um questionário eletrônico, administradores de RCLD de todo o Brasil foram convidados a informar a ocorrência de infecção e mortalidade de residentes por COVID-19. Além disso, foi realizada busca ativa de dados junto aos serviços do Ministério Público Estadual, Secretarias de Saúde e Sistema Único de Assistência Social. Os dados foram analisados através de estatística descritiva Resultados: Foram analisadas as informações de 1,802 RCLD de 11 estados, onde residiam 42,216 idosos. A taxa de incidência de COVID-19 foi de 6,14%. Foram registrados no período 458 óbitos, com uma taxa de letalidade de 17,65%. Conclusão: A incidência e letalidade observados neste estudo foram menores do que as taxas observadas em outros países. Entretanto, dadas as limitações quanto a coleta de informações e outras barreiras para o estudo, novas fontes estruturadas de dados são fundamentais para o conhecimento da propagação do vírus nos RCLD no país.

Resumo Fragilidade é um estado de vulnerabilidade fisiológica multissistêmica relacionada à idade e a um risco aumentado de desfechos adversos. O objetivo do presente estudo foi avaliar a prevalência e os fatores associados à fragilidade no estudo FIBRA em Minas Gerais, Brasil. Selecionou-se uma amostra aleatória, estratificada por unidade territorial, sexo e idade, de 461 indivíduos, com 65 anos ou mais. A fragilidade foi estabelecida pela presença de três ou mais de cinco itens: sensação de exaustão, baixa força de preensão manual, velocidade da marcha lenta, perda de peso e baixo gasto calórico. A média de idade foi de 74,4 anos (DP± 6,8), 69,6% eram mulheres e 71,9% brancos. A prevalência de fragilidade foi de 5,2%; 49,9% foram de indivíduos pré-frágeis. Idade avançada (OR: 6,4; IC 1,76-23,8), comprometimento das atividades básicas de vida diária (OR: 5,2; IC 1,1-23,1) e auto percepção de saúde ruim (OR: 0,13; IC 0,03-0,4), foram associados à fragilidade. No presente estudo, um número substancial de indivíduos apresentou-se frágil, enquanto que metade da amostra estava sob risco de progressão para esta condição, sugerindo que é urgente a adoção de medidas de saúde pública com objetivo de prevenção e redução de complicações.

Abstract Frailty is a state of multisystem physiological vulnerability related to aging and an increased risk of adverse outcomes. This study aimed to evaluate the prevalence and associated factors of frailty in the Fibra-JF Study, Minas Gerais, Brazil. We selected a random sample of 461 individuals aged 65 years or more stratified by territorial unit, gender and age. The frailty syndrome was established by the presence of three or more of five items: a feeling of exhaustion, low handgrip strength, slow gait speed, weight loss, and low caloric expenditure. The mean age was 74.4 (SD ± 6.8) years, 69.6% were women and 71.9% white. The prevalence of frailty was 5.2%; 49.9% was from pre-frail subjects. Advanced age (OR: 6.4; CI 1.76-23.8), impairment of the basic activities of daily living (OR: 5.2, CI 1.1-23.1) and self-perception of poor health (OR: 0.13, CI 0.03-0.4) were associated with frailty. In this study, a substantial number of individuals was classified as frail, while half of the sample was at risk of progression towards this condition, suggesting that it is urgent to adopt public health measures focused on frailty prevention and reduction of associated adverse health outcomes.

Resumo Fragilidade é um estado de vulnerabilidade fisiológica multissistêmica relacionada à idade e a um risco aumentado de desfechos adversos. O objetivo do presente estudo foi avaliar a prevalência e os fatores associados à fragilidade no estudo FIBRA em Minas Gerais, Brasil. Selecionou-se uma amostra aleatória, estratificada por unidade territorial, sexo e idade, de 461 indivíduos, com 65 anos ou mais. A fragilidade foi estabelecida pela presença de três ou mais de cinco itens: sensação de exaustão, baixa força de preensão manual, velocidade da marcha lenta, perda de peso e baixo gasto calórico. A média de idade foi de 74,4 anos (DP± 6,8), 69,6% eram mulheres e 71,9% brancos. A prevalência de fragilidade foi de 5,2%; 49,9% foram de indivíduos pré-frágeis. Idade avançada (OR: 6,4; IC 1,76-23,8), comprometimento das atividades básicas de vida diária (OR: 5,2; IC 1,1-23,1) e auto percepção de saúde ruim (OR: 0,13; IC 0,03-0,4), foram associados à fragilidade. No presente estudo, um número substancial de indivíduos apresentou-se frágil, enquanto que metade da amostra estava sob risco de progressão para esta condição, sugerindo que é urgente a adoção de medidas de saúde pública com objetivo de prevenção e redução de complicações.

Abstract Frailty is a state of multisystem physiological vulnerability related to aging and an increased risk of adverse outcomes. This study aimed to evaluate the prevalence and associated factors of frailty in the Fibra-JF Study, Minas Gerais, Brazil. We selected a random sample of 461 individuals aged 65 years or more stratified by territorial unit, gender and age. The frailty syndrome was established by the presence of three or more of five items: a feeling of exhaustion, low handgrip strength, slow gait speed, weight loss, and low caloric expenditure. The mean age was 74.4 (SD ± 6.8) years, 69.6% were women and 71.9% white. The prevalence of frailty was 5.2%; 49.9% was from pre-frail subjects. Advanced age (OR: 6.4; CI 1.76-23.8), impairment of the basic activities of daily living (OR: 5.2, CI 1.1-23.1) and self-perception of poor health (OR: 0.13, CI 0.03-0.4) were associated with frailty. In this study, a substantial number of individuals was classified as frail, while half of the sample was at risk of progression towards this condition, suggesting that it is urgent to adopt public health measures focused on frailty prevention and reduction of associated adverse health outcomes.

OBJECTIVES: Sarcopenia is a common treatable geriatric condition. The aim of this study was to estimate the prevalence of sarcopenia and its associated factors in community-dwelling elderly living in Rio de Janeiro, Brazil, and to discuss the impact of different muscle mass, handgrip strength and gait speed cut-off values on the reported frequency of sarcopenia. METHODS: The health habits, functional capacity, and anthropometric measurements of 745 individuals aged ≥65 years from the Frailty in Brazilian Older People study were analyzed. The participants were classified into the following four groups: no sarcopenia, pre-sarcopenia, sarcopenia and severe sarcopenia. Univariate and multivariate regression analyses were performed. Muscle mass, handgrip strength and gait speed cut-off thresholds tailored to the sample and those proposed by the European Working Group on Sarcopenia in Older People were used to compare the prevalence rates of sarcopenia. RESULTS: Seventy-three percent of the participants were female, 61.9% were Caucasian, and the mean age was 76.6 years. The prevalence rates of sarcopenia were 10.8% and 18% using the sample-tailored and European consensus cut-off values, respectively. Sarcopenia was associated with advanced age (OR: 37.2; CI95%12.35-112.48), Caucasian race (OR: 1.89; CI 95% 1.02-3.52), single marital status (OR:6; CI95% 2.2-16.39), low income (OR:3.64; CI 95% 1.58-8.39), and the presence of comorbidities (OR:3.26; CI 95%1.28-8.3). CONCLUSION: In this study, the estimated prevalence of sarcopenia was similar to that reported in most studies after the tailored handgrip strength and gait speed cut-off values were adopted. A higher prevalence was observed when the cut-off values suggested by the European consensus were used. This indicates that the prevalence of sarcopenia must be estimated using population-specific reference values.

OBJECTIVE: Frailty syndrome can be defined as a state of vulnerability to stressors resulting from a decrease in functional reserve across multiple systems and compromising an individual's capacity to maintain homeostasis. The purpose of this study was to determine the prevalence of frailty and its association with social and demographic factors, functional capacity, cognitive status and self-reported comorbidities in a sample of community-dwelling older individuals who are clients of a healthcare plan. METHODS: We evaluated 847 individuals aged 65 years or older who lived in the northern area of the city of Rio de Janeiro, Brazil. The subjects were selected by inverse random sampling and stratified by gender and age. To diagnose frailty, we used the scale proposed by the Cardiovascular Health Study, which consisted of the following items: low gait speed, grip strength reduction, feeling of exhaustion, low physical activity and weight loss. The data were collected between 2009 and 2010, and the frailty prevalence was calculated as the proportion of individuals who scored positive for three or more of the five items listed above. To verify the association between frailty and risk factors, we applied a logistic regression analysis. RESULTS: The prevalence of frailty syndrome was 9.1% (95% confidence interval [CI], 7.3-11.3); 43.6% (95% CI, 40.3-47) of the individuals were considered robust, and 47.3% (95% CI 43.8-50.8) were considered pre-frail (p<0.001). The frail individuals tended to be older (odds ratio [OR] 13.2, 95% CI, 8.7-20) and have lower education levels (OR 2.1, 95% CI, 1-4.6), lower cognitive performance (OR 0.76, 95% CI, 0.73-0.79) and reduced health perception (OR 65.8, 95% CI, 39.1-110.8). Frail individuals also had a greater number of comorbidities (OR 6.6, 95% CI, 4.4-9.9) and worse functional capacity (OR 3.8, 95% CI, 2.9-5). CONCLUSION: The prevalence of frailty was similar to that seen in other international studies and was significantly associated with educational level, cognition, comorbidities, functional capacity, perception of health and old age.