Fragilidade em idosos que vivem na comunidade: prevalência e fatores associados / Frailty in community-dwelling older people: prevalence and associated factors

Fundamentos: Idosos que vivem na comunidade são propensos a desenvolver fragilidade, considerada como um estado clinicamente identificável que aumenta a vulnerabilidade a resultados adversos e prediz incapacidade e mortalidade na população idosa. Objetivo: Identificar a prevalência e fatores associados à fragilidade em idosos que vivem em uma comunidade. Método: Trata-se de um inquérito domiciliar transversal e analítico, de abordagem quantitativa realizado com 854 idosos que vivem na comunidade. A fragilidade foi mensurada pela Edmonton Frail Scale (EFS). A associação entre fragilidade e variáveis sociodemográficas e de condições clínicas foi mensurada pela análise múltipla por regressão logística. Resultados: A prevalência de fragilidade encontrada neste estudo foi de 12,3% (IC95%: 10,1 a 14,5). O modelo de regressão logística mostrou que as variáveis estatisticamente associadas à fragilidade foram: queda recorrente, uso de dispositivo para auxílio à marcha, polifarmácia, autopercepção ruim de saúde, dependência nas atividades básicas e instrumentais de vida diária. Conclusão: A prevalência de fragilidade em idosos foi baixa em comparação a outros estudos nacionais que empregaram a EFS. Os resultados indicaram múltiplos fatores associados à fragilidade modificáveis. Assim, a investigação da síndrome da fragilidade bem como dos seus fatores relacionados passíveis de prevenção são ações a serem incluídas na prática clínica. (AU)

Foundations: Elderly people living in the community are prone to developing frailty, considered as a clinically identifiable state that increases vulnerability to adverse events and predicts disability and mortality in the elderly population. Objective: To identify the prevalence and factors associated with frailty in the elderly living in the community. Materials and method: This is a cross-sectional and analytical household survey with a quantitative approach conducted with 854 elderly people living in the community. Frailty was measured by Edmonton Frail Scale (EFS). The association between frailty and sociodemographic and clinical condition variables was measured by multiple analysis using logistic regression. Results: The prevalence of frailty found in this study was 12.3% (95% CI: 10.1 to 14.5). The logistic regression model showed that the variables statistically associated with frailty were: recurrent fall, use of walking aids, polypharmacy, poor self-rated health, dependence on basic and instrumental activities of daily living. Conclusion: The prevalence of frailty in the elderly was low compared to other national studies that employed the SAI. Results indicated potentially modifiable factors associated with frailty. Thus, the investigation of frailty syndrome and its related preventable factors are actions to be included in clinical practice. (AU)

Sarcopenia according to the European Working Group on Sarcopenia in Older People (EWGSOP) versus dynapenia as a risk factor for mortality in the elderly.

BACKGROUND: Sarcopenia and dynapenia have been associated with poorer physical performance, disability and death. The aim of this study was to compare the association between sarcopenia and dynapenia with mortality. METHODS: We studied 1,149 Brazilians aged 60 years or older residing in São Paulo. Sarcopenia was defined according to the consensus of the European Working Group on Sarcopenia in Older People (EWGSOP), which includes three components: low muscle mass (LMM) assessed by skeletal muscle mass index ≤ 8.90kg/m2 (men) and ≤ 6.37kg/m2 (women); low muscle strength (LMS) assessed by handgrip strength <30kg (men) and < 20kg (women); and low physical performance (LPP) assessed by walking speed ≤ 0.8m/s. Diagnosis of sarcopenia required presence of LMM plus LMS or LPP. Dynapenia was defined as handgrip strength < 30kg (men) and < 20kg (women). Covariates included socio-demographic and behavioral variables, medical conditions, hospitalization, depressive symptoms, cognition, and disability in activities of daily living or instrumental activities of daily living. The outcome was all-cause mortality over five-year follow-up. RESULTS: During the five-year follow-up, 187 subjects died. The mortality rate for those with or without sarcopenia were 65.9/1,000 person/years and 20.1/1,000 person/years and for dynapenia were 44.3/1,000 person/years and 14.9/1,000 person/years. The adjusted model showed that sarcopenia (HR=1.52, 95%CI: 1.06 - 2.19) and dynapenia (HR=2.04, 95%CI: 1.24 - 3.37) are independent risk factors for death. CONCLUSIONS: The EWGSOP definition of sarcopenia and dynapenia can help to determine risk for mortality and can be used as a screening instrument in public health.

Prevalence and associated factors of sarcopenia among elderly in Brazil: findings from the SABE study.

OBJECTIVES: The aim of the present study was to examine the prevalence and factors associated with sarcopenia in older residents in São Paulo, Brazil. DESIGN: Cross-sectional study. SETTING: São Paulo, Brazil. PARTICIPANTS: 1,149 older individuals from the second wave of the Saúde, Bem-Estar e Envelhecimento (SABE) study from 2006. MEASUREMENTS: The definition of sarcopenia was based on the consensus of the European Working Group on Sarcopenia in Older People (EWGSOP), which include three components: low muscle mass, assessed by a skeletal muscle mass index of ≤8.90 kg/m2 for men and ≤6.37 kg/m2 for women; low muscle strength, assessed by handgrip strength <30 kg for men and <20 kg for women; and low physical performance, assessed by gait speed <0.8 m/s. Diagnosis of sarcopenia required presence of low muscle mass plus low muscle strength or low physical performance. Socio-demographic and behavioral characteristics, medical conditions and nutritional status were considered as independent variables to determine the associated factors using a logistic regression model. RESULTS: The prevalence of sarcopenia was 16.1% in women and 14.4% in men. Advanced age with a dose response effect, cognitive impairment, lower income, smoking, undernutrition and risk for undernutrition (p<0.05) were factors associated with sarcopenia. CONCLUSIONS: The EWGSOP algorithm is useful to define sarcopenia. The prevalence of sarcopenia in the Brazilian elderly population is high and several associated factors show that this syndrome is affected by multiple domains. No differences were observed by gender in any age groups.

Galactosaemia in a Brazilian population: high incidence and cost-benefit analysis.

OBJECTIVES: To study the incidence of galactosaemia in the state of São Paulo and the benefit/cost (B/C) ratio of the introduction of neonatal screening for galactosaemia, comparing it with a selective approach. METHODS: An enzymatic-colorimetric assay was used for the screening of total galactose (TG) in a sample of 10% of the births in São Paulo in one year and positive cases were confirmed by the activity of galactose-1-phosphate uridyltransferase (GALT). Detected and referred cases were genotyped using enzyme restriction studies for Q188R, N314D and S135L mutations of the GALT gene. The economic analysis was determined by calculating the B/C ratio and by analysis of sensitivity as a function of the incidence of the disease detected and the variation of the interest rate in the economy. RESULTS: 59 953 newborns were screened for TG, with 3 cases of galactosaemia being identified (0.26% false positives), corresponding to a frequency of 1:19 984 liveborns (95% confidence interval: 1:7494 to 1:59 953). One classical case and one Duarte 2 variant referred to as a selective approach were confirmed. With an incidence of 1:19 984, the B/C ratio was 1.04 for the 11.75% interest rate in effect in Brazil, with values already decapitalized. With a maximum possible incidence of 1:7494, the B/C ratio was 2.79. DISCUSSION: There is an economic advantage in introducing neonatal screening for galactosaemia in the national neonatal screening programme. This advantage could increase with a reduction of the current interest rates in the economy.