Abstract

ABSTRACTObjective:to present a physical frailty prediction model for oldest old users of primary health care, according to clinical variables. Method:cross-sectional study with proportional stratified sample of 243 oldest old subjects. Data were collected through a structured clinical questionnaire, handgrip strength test, walking speed, weight loss, fatigue/exhaustion, and physical activity level. For the analysis of the data, univariate and multivariate analysis by logistic regression were used (p<0.05), which resulted in prediction models. The odds ratios (95% Confidence Interval) of the models were calculated. Each model was evaluated by deviance analysis, likelihood ratios, specificity and sensitivity, considering the most adequate. All ethical and legal precepts were followed. Results:the prediction model elected was composed of metabolic diseases, dyslipidemias and hospitalization in the last 12 months. Conclusion:clinical variables interfere in the development of the physical frailty syndrome in oldest old users of basic health unit. The choice of a physical frailty regression model is the first step in the elaboration of clinical methods to evaluate the oldest old in primary care.

Highlights

  • Senescence is characterized by inevitable structural, physiological, and functional changes in the organism

  • The present study aimed to present a physical frailty prediction model for oldest-old patients of primary health care according to clinical variables

  • The present study proposed a Physical Frailty Prediction Model for the oldest old according to clinical variables, which included “metabolic disease”, “dyslipidemia” and “hospitalization in the last 12 months”

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Summary

Introduction

Senescence is characterized by inevitable structural, physiological, and functional changes in the organism For some people, these changes are accentuated and lead to increased risk of morbidity and mortality, while others remain robust, even in old age. Physical frailty is a multicausal medical condition with several associated factors It is characterized by a decrease in strength and endurance and an increase in the individual’s vulnerability for developing increased dependency and/or mortality[1]. This syndrome is an important marker of an individual’s physiological reserve and an indicator of the risk of negative outcomes to the health of the oldest-old[2,3]

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