Association between Domains of the Clinical-Functional Vulnerability Index and Falls History in Older Adults: A Cross-Sectional Study

Natália B. Moreira, Paulo C. B. Bento, Edgar Ramos Vieira, José L. P. da Silva and André L. F. Rodacki
Additional contact information
Natália B. Moreira: Departamento de Prevenção e Reabilitação em Fisioterapia, Rua Coronel H dos Santos, Jardim das Américas, 100-Centro Politécnico, Universidade Federal do Paraná, Curitiba 81530-000, Paraná, Brazil
Paulo C. B. Bento: Departamento de Educação Física, Rua Coronel H dos Santos, Jardim das Américas, 100-Centro Politécnico, Universidade Federal do Paraná, Curitiba 81530-000, Paraná, Brazil
Edgar Ramos Vieira: Department of Physical Therapy, Nicole Wertheim College of Nursing and Health Sciences, International University, Miami, FL 33199, USA
José L. P. da Silva: Departamento de Estatística, Rua Coronel H dos Santos, Jardim das Américas, 100-Centro Politécnico, Universidade Federal do Paraná, Curitiba 81530-000, Paraná, Brazil
André L. F. Rodacki: Departamento de Educação Física, Rua Coronel H dos Santos, Jardim das Américas, 100-Centro Politécnico, Universidade Federal do Paraná, Curitiba 81530-000, Paraná, Brazil

IJERPH, 2022, vol. 19, issue 13, 1-12

Abstract: Objectives: The study aimed to determine which domains, sets, and isolated or combined questions of the Clinical-Functional Vulnerability Index (CFVI-20) are associated with falls history in older adults. Methods: Instruments used were the CFVI-20 assessment and reported falls during the last year. The receiver operating characteristics (ROC) curves identified the performance of the CFVI-20 domains and questions in identifying older adults with and without falls history, while logistic regression identified relevant questions to identify fall history. Results: This study included 1725 individuals (71.9 ± 7.3 years). The area under the curve (AUC) between the CFVI-20 and fall history was 0.69. The mobility domain presented the largest AUC (0.71; p < 0.01), and most isolated domains showed low AUCs (0.51 to 0.58). Isolated questions were limited to identifying fallers. The regression analysis identified 7 questions of the CFVI-20 with falls. Conclusions: The CFVI-20 general score identified older adults with a fall history. When considered in isolation, most domains were limited to identifying falls, except for the mobility domain. Combining the CFVI-20 questions enabled identification of fallers.

Keywords: fall identification; risk factors; aged; frail elderly (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1660-4601/19/13/7949/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/13/7949/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2022:i:13:p:7949-:d:851032

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().