O uso do smartphone na avaliação da dorsiflexão da tibiotársica, do passo rápido anterior/lateral/posterior e da marcha em idosos

Introdução: A correta avaliação das capacidades do idoso será fundamental na diminuição do risco de queda inerente ao envelhecimento. Os Smartphones são uma boa ferramenta para a avaliação das capacidades em idosos. Objetivo: Verificar se o smartphone é uma ferramenta de avaliação do ângulo de dorsiflexão ativa da tibiotársica (Dors. TT) e em diferentes parâmetros relacionados com a marcha. ; Métodos: Estudo transversal correlacional, com amostra composta por 27 indivíduos com mais de 60 anos. Procedeu-se à recolha de dados através de um sistema de análise cinemática em 3D com conexão a uma plataforma de forças e de uma aplicação para Smartphone (Fraunhofer®, Porto, Portugal), de forma a verificar a funcionalidade desta última. As variáveis medidas foram a Dors. TT; e todas a variáveis relacionadas com a marcha. Resultados: A dors. TT apresentou uma correlação forte positiva (rs=0,8; p<0,001) entre os dados dos dois instrumentos, assim como no balanço pélvico (rp=0,8; p<0,001), na velocidade na marcha (rp=0,7; p<0,001) e no nº de passos posteriores (rs=0,8; p<0,001). Observou-se uma correlação moderada positiva na duração do passo direito, na duração do passo, na duração da passada, na cadência, no comprimento do passo esq., no comprimento do passo e no deslocamento lateral da pélvis (rp=0,6; p≤0.008). Na percentagem da fase de apoio (%FA) (rs =-0.6; p= 0.007) e na medição da cadência lateral (rs =-0.4; p= 0.042) observou-se uma correlação moderada negativa e na cad. post. (rs=-0,7; p<0,001) uma correlação forte negativa. Conclusão: A aplicação para Smartphone parece ser uma ferramenta útil para avaliar corretamente o ângulo de dorsiflexão da tibiotársica, a contagem do número de passos no sentido posterior, o balanço pélvico e a velocidade. Contudo, necessita ser reajustada para as outras variáveis.

Quality of Life Predictors and Normative Data

This study identifies predictors and normative data for quality of life (QOL) in a sample of Portuguese adults from general population. A cross-sectional correlational study was undertaken with two hundred and fifty-five (N = 255) individuals from Portuguese general population (mean age 43 years, range 25–84 years; 148 females, 107 males). Participants completed the European Portuguese version of the World Health Organization Quality of Life short-form instrument and the European Portuguese version of the Center for Epidemiologic Studies Depression Scale. Demographic information was also collected. Portuguese adults reported their QOL as good. The physical, psychological and environmental domains predicted 44 % of the variance of QOL. The strongest predictor was the physical domain and the weakest was social relationships. Age, educational level, socioeconomic status and emotional status were significantly correlated with QOL and explained 25 % of the variance of QOL. The strongest predictor of QOL was emotional status followed by education and age. QOL was significantly different according to: marital status; living place (mainland or islands); type of cohabitants; occupation; health. The sample of adults from general Portuguese population reported high levels of QOL. The life domain that better explained QOL was the physical domain. Among other variables, emotional status best predicted QOL. Further variables influenced overall QOL. These findings inform our understanding on adults from Portuguese general population QOL and can be helpful for researchers and practitioners using this assessment tool to compare their results with normative data

Quality of life predictors and normative data

Purpose: Identify predictors and normative data for quality of life (QOL) in a sample of Portuguese adults from general population Methods: A cross-sectional correlational study was undertaken with two hundred and fifty-five (N=255) individuals from Portuguese general population (mean age 43yrs, range 25-84yrs; 148 females, 107 males). Participants completed the European Portuguese version of the World Health Organization Quality of Life short-form instrument (WHOQOL-Bref) and the European Portuguese version of the Center for Epidemiologic Studies Depression Scale (CES-D). Demographic information was also collected. Results: Portuguese adults reported their QOL as good. The physical, psychological and environmental domains predicted 44% of the variance of QOL. The strongest predictor was the physical domain and the weakest was social relationships. Age, educational level, socioeconomic status and emotional status were significantly correlated with QOL and explained 25% of the variance of QOL. The strongest predictor of QOL was emotional status followed by education and age. QOL was significantly different according to: marital status; living place (mainland or islands); type of cohabitants; occupation; health. Conclusions: The sample of adults from general Portuguese population reported high levels of QOL. The life domain that better explained QOL was the physical domain. Among other variables, emotional status best predicted QOL. Further variables influenced overall QOL. These findings inform our understanding on adults from Portuguese general population QOL