Stroke Severity and Maximum Inspiratory Pressure are Independently Associated with Functional Mobility in Individuals After Stroke.

BACKGROUND: Clinical changes after stroke can contribute to reduced mobility and negatively affect the survival of these individuals. The objective of this study was to verify factors associated with functional mobility in stroke individuals. METHODS: Crosssectional study carried out with stroke individuals in an outpatient clinic. Demographic and clinical data were collected and the following measures were applied: National Institute of Health Stroke Scale (NIHSS), modified Barthel Index, Trunk Impairment Scale, Functional Reach Test, Timed Up and Go Test, and the International Physical Activity Questionnaire. Respiratory muscle strength was assessed by measuring the maximum inspiratory pressure (MIP) and the maximum expiratory pressure (MEP).Variables with p < .05 in univariate logistic regression analysis were included in the multivariate logistic regression model, using the backward stepwise method. RESULTS: 53 individuals were enrolled with a mean age of 55 years (±13.43). 51% were male and the median NIHSS score was 2.25 (0-13). The final multivariate model included NIHSS (OR = 1.872; 95% CI 1.167-3.006; p = 0.009), physical therapy treatment (OR = 15.467; 95% CI 1.838-130.178; p = 0.012) and MIP (OR = 1.078; 95% CI 1.024-1.135; p = 0.004). CONCLUSION: Stroke severity and inspiratory muscle strength were factros associated with functional mobility in individuals after stroke, regardless stroke time.

Desenvolvimento de um aplicativo para identificação do risco de quedas em idosos / Development of mobile application to identify fall risk in the elderly

INTRODUÇÃO: A queda pode ocorrer em qualquer fase da vida do indivíduo, porém é mais frequente em idosos, representando um alto impacto social e econômico ao país e ao mundo. Hoje, o sistema de saúde pública incentiva amplamente os estudos científicos que perpassam pela compreensão das causas do cair do idoso, para que a prevenção efetiva deste episódio seja alcançada, diminuindo a demanda e os custos na saúde. OBJETIVO: Desenvolver uma ferramenta eletrônica web mobile que auxilie os profissionais de saúde na avaliação do risco de quedas do idoso a partir de instrumentos adaptados para o português do Brasil, validados para a população idosa e com amplo uso na literatura. MÉTODO: Trata-se de um projeto de desenvolvimento de um protótipo usando a plataforma Android e a linguagem JAVA. RESULTADOS: Após análise dos critérios estabelecidos no estudo os instrumentos selecionados para o desenvolvimento do software foram o Índice Dinâmico da Marcha (Dynamic Gait Index-DGI), a Escala de Equilíbrio de Berg (Berg Balance Scale), o Levantar e Caminhar Cronometrado (Timed up and go-TUG) e o Índice de Equilíbrio de Tinetti (Performance Oriented Mobility Assessment-POMA). Os testes realizados após a finalização do software, apresentaram uma compatibilidade 100% com o referencial escolhido. CONCLUSÃO: O aplicativo desenvolvido durante o processo, apresentou-se versátil, rápido, possuindo os principais instrumentos validados na literatura brasileira, para identificar o risco de quedas em idosos, de fácil operação, gerando uma tendência positiva a aderência do profissional de saúde na sua utilização. [AU]

INTRODUCTION: A fall can occur at any stage of one's life; however, it is more common in the elderly. The effects of falls are serious, in social and economic terms, in the country and worldwide. Today, the public health system extensively encourages scientific studies that help prevent these accidents effectively, reducing the demand for health services and its associated costs. OBJECTIVE: To develop an electronic mobile web tool (app) that helps health professionals to assess risk factors related to falls among elderly people, utilising validated instruments designed for this age group that are widely used in the literature and adapted to Brazilian Portuguese. METHOD: This is a project regarding the development of a prototype for use on the Android platform, programmed in JAVA. RESULTS: After analysing the criteria set out in the study, the selected tools for software development were the Dynamic Gait Index-DGI, the Berg Balance Scale, the Timed Up and Go (TUG) test and the Tinetti Balance test (Performance Oriented Mobility Assessment-POMA). The tests conducted after the software development phase showed the predetermined requirements were met 100%. CONCLUSION: The app that was developed during the process proved to be versatile, fast, includes the main instruments that are validated in the Brazilian literature, identifies the risk of falls in the elderly, is easy to use, which all are positive incentives for health professionals to use the device. [AU]