Consistency in the prevalence and associated factors of frailty determined by two instruments among hospitalised older adults: A cross‐sectional study.

Autor:	Yu, Xingfeng, Wang, Nana, Wang, Dan, Ma, Yunmiao, Liu, Hongmei, Fu, Jia, Xu, Cuixiang, Sun, Yang, Zhang, Yulian
Předmět:	SLEEP quality FRAIL elderly NUTRITIONAL assessment CONFIDENCE intervals CROSS-sectional method POLYPHARMACY ONE-way analysis of variance MANN Whitney U Test FISHER exact test T-test (Statistics) PHYSICAL activity HOSPITAL care of older people DISEASE prevalence DESCRIPTIVE statistics QUALITY of life CHI-squared test SENSITIVITY & specificity (Statistics) LOGISTIC regression analysis ODDS ratio NUTRITIONAL status
Zdroj:	Journal of Clinical Nursing (John Wiley & Sons, Inc.); Jun2023, Vol. 32 Issue 11/12, p2813-2826, 14p
Abstrakt:	Aims and objectives: To investigate the consistency in the prevalence and associated factors of frailty determined by the physical‐originated Fatigue, Resistance, Ambulation, Illnesses and Loss of weight (FRAIL) scale and the multidimensional Tilburg Frailty Indicators (TFI) scale. Background: Accurate assessment of frailty and the identification of its associated factors could guide the development and implementation of holistic and individualised treatment plan. However, recommendations regarding the selection of frailty assessment tools are inconclusive. Design: This is a cross‐sectional study, the reporting of which followed the STROBE guidelines. Methods: A total of 1220 older adults were recruited from a university affiliated tertiary hospital in Xi'an City, Northwest China, and administrated with a social‐demographic and health‐related information sheet, the FRAIL, the TFI, the Short‐Form Mini‐Nutritional Assessment, the Pittsburgh Sleep Quality Index and the 5‐level EuroQol 5 dimensions questionnaire. Descriptive statistics and binary logistic regression analysis were used to investigate the prevalence of frailty and its associated factors. Results: The prevalence of physical‐originated and multidimensional frailty was 55.2% and 77.6%, respectively. The consistency between the two scales was low. Taking the combined use of the two instruments as the reference, the TFI and FRAIL could identify 89.99% and 64.02% of the participants with frailty. Polypharmacy, health‐related quality of life and sleep quality were found to be associated with both physical‐originated and multidimensional frailty. Nutritional status and level of physical activity were additionally identified as the independent associated factors of multidimensional frailty. Conclusions: The prevalence of frailty among hospitalised older adults is high. There is low consistency between the FRAIL and TFI in detecting frailty. The TFI exhibited higher sensitivity in detecting individuals with frailty and its associated factors. Relevance to clinical practice: The findings of this study supported a single use of the TFI for the assessment of frailty in the hospital setting. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
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