Geriatrics & gerontology international · 2012
Using the Short Physical Performance Battery to screen for frailty in young-old adults with distinct socioeconomic conditions.
Сравнительное исследованиеСтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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da Câmara Saionara Maria Aires, Alvarado Beatriz Eugenia, Guralnik Jack M, Guerra Ricardo Oliveira, Maciel Alvaro Campos Cavalcanti
Аннотация
AIM: To analyze the Short Physical Performance Battery's (SPPB) ability in screening for frailty in community-dwelling young elderly from cities with distinct socioeconomic conditions.
METHODS: Elderly (65-74 years-of-age) from Canada (Saint Bruno; n = 60) and Brazil (Santa Cruz; n = 64) were evaluated with the SPPB to assess physical performance. Frailty was defined as the presence of ≥ 3 of the following criteria: weight loss, exhaustion, weakness, mobility limitation and low physical activity. Linear regression and receiver operating characteristics analyses were carried out.
RESULTS: The SPPB correlated with frailty (R(2) = 0.33), with better results for Saint Bruno. A cut-off of 9 in the SPPB had good sensitivity (92%) and specificity (80%) in discriminating frail from non-frail in Saint Bruno (area under the curve [AUC] = 0.81), but showed fair results in Santa Cruz (AUC = 0.61, sensitivity = 81% and specificity = 52%).
CONCLUSIONS: The SPPB better discriminated frailty in elderly with higher socioeconomic conditions (Saint Bruno).
METHODS: Elderly (65-74 years-of-age) from Canada (Saint Bruno; n = 60) and Brazil (Santa Cruz; n = 64) were evaluated with the SPPB to assess physical performance. Frailty was defined as the presence of ≥ 3 of the following criteria: weight loss, exhaustion, weakness, mobility limitation and low physical activity. Linear regression and receiver operating characteristics analyses were carried out.
RESULTS: The SPPB correlated with frailty (R(2) = 0.33), with better results for Saint Bruno. A cut-off of 9 in the SPPB had good sensitivity (92%) and specificity (80%) in discriminating frail from non-frail in Saint Bruno (area under the curve [AUC] = 0.81), but showed fair results in Santa Cruz (AUC = 0.61, sensitivity = 81% and specificity = 52%).
CONCLUSIONS: The SPPB better discriminated frailty in elderly with higher socioeconomic conditions (Saint Bruno).
Предметные рубрики MeSH
AgedBrazilChronic DiseaseCross-Sectional StudiesDepressionEducational StatusFatigueFemaleFrail ElderlyGaitGeriatric AssessmentHealth Status IndicatorsHumansIncomeIndependent LivingMaleMass ScreeningMobility LimitationMotor ActivityMuscle WeaknessPostural BalancePovertyPsychomotor PerformanceQuebecROC CurveSensitivity and SpecificitySocial ClassWeight Loss