Abstract

Session presented on Friday, July 25, 2014:

Purpose: The purpose of this presentation is to analyze the risk factors and cut-off point of a short battery of physical performance tests for identifying community-dwelling elderly people with pre-frailty.

Methods: A short battery of physical performance tests was employed at community activity center to assess the following characteristics among elderly people: balance, mobility, and flexibility. Instructions were provided to participants by demonstration.

Results: Logistic regression analysis indicated that four indicators were significantly correlated to pre-frailty, that is, pre-frailty included falls in the previous year (OR = 3.05, 95% CI of OR = 1.46 - 6.38), smoking (OR = 3.22, 95% CI of OR = 1.40 - 7.38), hypertension (OR = 2.21, 95% CI of OR = 1.16 - 4.21) and bone and joint disease (OR = 8.96, 95% CI of OR = 3.05 - 26.30) (Tables 3). Furthermore, according to the logistic regression analysis results, three of the mentioned tests could significantly predict pre-frailty, namely, right-hand grip (OR = 0.96, 95% CI of OR = 1.92 - 1.99), left-hand grip (OR = 0.92, 95% CI of OR = 1.87 - 1.97), and the 8-foot up-and-go test (OR = 1.15, 95% CI of OR = 1.04 - 1.27). The results indicate that grip and 8-foot up-and-go are effective independent predictors for pre-frailty.

Conclusion: To the best of our knowledge, this study is the first academic examination of the cut-off points for objective physiological indicators assessing pre-frailty among elderly Asian people. Although this study focuses on community-dwelling elderly people in East Asian countries, research investigating the diagnosis methods, sensitivity, specificity, NPV, and PPV of screening methods for pre-frailty are scarce. Furthermore, in this study, pre-frailty is determined according to an established and validated index

Authors

Shu-Fang Chang

Author Details

Shu-Fang Chang, PhD

Sigma Membership

Non-member

Type

Poster

Format Type

Text-based Document

Study Design/Type

N/A

Research Approach

N/A

Keywords:

Cut-Off Point, Physical Performance, Pre-Frailty

Conference Name

25th International Nursing Research Congress

Conference Host

Sigma Theta Tau International

Conference Location

Hong Kong

Conference Year

2014

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The discrimination of screen pre-frailty for community-dwelling elderly people

Hong Kong

Session presented on Friday, July 25, 2014:

Purpose: The purpose of this presentation is to analyze the risk factors and cut-off point of a short battery of physical performance tests for identifying community-dwelling elderly people with pre-frailty.

Methods: A short battery of physical performance tests was employed at community activity center to assess the following characteristics among elderly people: balance, mobility, and flexibility. Instructions were provided to participants by demonstration.

Results: Logistic regression analysis indicated that four indicators were significantly correlated to pre-frailty, that is, pre-frailty included falls in the previous year (OR = 3.05, 95% CI of OR = 1.46 - 6.38), smoking (OR = 3.22, 95% CI of OR = 1.40 - 7.38), hypertension (OR = 2.21, 95% CI of OR = 1.16 - 4.21) and bone and joint disease (OR = 8.96, 95% CI of OR = 3.05 - 26.30) (Tables 3). Furthermore, according to the logistic regression analysis results, three of the mentioned tests could significantly predict pre-frailty, namely, right-hand grip (OR = 0.96, 95% CI of OR = 1.92 - 1.99), left-hand grip (OR = 0.92, 95% CI of OR = 1.87 - 1.97), and the 8-foot up-and-go test (OR = 1.15, 95% CI of OR = 1.04 - 1.27). The results indicate that grip and 8-foot up-and-go are effective independent predictors for pre-frailty.

Conclusion: To the best of our knowledge, this study is the first academic examination of the cut-off points for objective physiological indicators assessing pre-frailty among elderly Asian people. Although this study focuses on community-dwelling elderly people in East Asian countries, research investigating the diagnosis methods, sensitivity, specificity, NPV, and PPV of screening methods for pre-frailty are scarce. Furthermore, in this study, pre-frailty is determined according to an established and validated index