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Comparison of cognitive functions among frail and prefrail older adults: a clinical perspective.
International Psychogeriatrics 2018 June 30
ABSTRACTObjective:To compare cognitive function among frail and prefrail older adults.
DESIGN: Cross-sectional clinical study.
PARTICIPANTS: Fifty-one non-institutionalized older individuals participated in this study.
MEASUREMENTS: Cognitive functions were evaluated through Mini-Mental State Examination (Global Cognition), Digit Span Forward (short-term memory), Digit Span Backward (working memory), Verbal Fluency Test (semantic memory/executive function). Data were compared using parametric and non-parametric bivariate tests. Binary logistic regression was used to test a frailty prediction model. Statistical significance was defined as p ≤ 0.01 to compare groups. In the regression model, the p value was set to be ≤0.05.
RESULTS: Statistically significant differences were observed in global cognition, and short-term memory between frail and prefrail individuals (p ≤ 0.01). Global cognition explained 14-19% of frailty's model.
CONCLUSION: According to our findings, the evaluation of cognitive functions among older persons with frailty and prefrailty provides important complementary information to better manage frailty and its progression.
DESIGN: Cross-sectional clinical study.
PARTICIPANTS: Fifty-one non-institutionalized older individuals participated in this study.
MEASUREMENTS: Cognitive functions were evaluated through Mini-Mental State Examination (Global Cognition), Digit Span Forward (short-term memory), Digit Span Backward (working memory), Verbal Fluency Test (semantic memory/executive function). Data were compared using parametric and non-parametric bivariate tests. Binary logistic regression was used to test a frailty prediction model. Statistical significance was defined as p ≤ 0.01 to compare groups. In the regression model, the p value was set to be ≤0.05.
RESULTS: Statistically significant differences were observed in global cognition, and short-term memory between frail and prefrail individuals (p ≤ 0.01). Global cognition explained 14-19% of frailty's model.
CONCLUSION: According to our findings, the evaluation of cognitive functions among older persons with frailty and prefrailty provides important complementary information to better manage frailty and its progression.
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