Risk of malnutrition and associated factors in institutionalized elderly persons

• Autor(a) principal: Damo,Cássia Cassol
• Data de Publicação: 2018
• Outros Autores: Doring,Marlene, Alves,Ana Luisa Sant’Anna, Portella,Marilene Rodrigues
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Revista Brasileira de Geriatria e Gerontologia
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1809-98232018000600711
• topic: Nutritional Status; Elderly; Homes for the Aged; Manutrition; Aging

Abstract Objective : to evaluate the risk of malnutrition and associated factors in institutionalized elderly persons. Method : a cross-sectional study was carried out with elderly persons living in long-term care facilities in the municipal regions of Passo Fundo (Rio Grande do Sul) and Carazinho (Rio Grande do Sul) in 2017. A standardized, pre-codified questionnaire with sociodemographic variables was used, along with anthropometric data and the Mini Nutritional Assessment. Cognitive decline and non-intentional weight loss were also evaluated. The qualitative variables were presented in terms of univariate frequencies and the quantitative variables were described through measures of central tendency and dispersion. In order to verify the association between the categorical variables, the Pearson’s correlation coefficient, Chi-Squared test and the Fisher Exact test were applied, and in the crude and adjusted analysis the Poisson regression was used with robust variance. The level of significance was 5%. Results : a total of 399 elderly people were included, of whom 69.9% were female, 54.5% were aged 80 years or older and 88.4% were white. Of these elderly people, 61.7% lived in non-profit facilities. In the evaluation of nutritional status, 26.6% of the elderly were found to be malnourished, 48.1% were at risk of malnutrition and 25.3% had normal nutritional status. The highest prevalence ratio of at risk of malnutrition/malnutrition was with cognitive decline and unintentional weight loss (p<0.001). Conclusion : through the results, identifying nutritional status and the characteristics associated with the risk of malnutrition contribute to effective evaluation and nutritional monitoring, assisting in the prevention of diseases related to this condition.