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Can the 1-Leg Standing Test Be Replaced by Self-reported Balance in the First-Time Injurious Fall Screening Tool?

Frisendahl, Nathalie (author)
Karolinska Institutet,Stockholms universitet,Centrum för forskning om äldre och åldrande (ARC), (tills m KI),Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
Stina, Ek (author)
Karolinska Institutet
Rosendahl, Erik (author)
Umeå universitet,Avdelningen för fysioterapi,Allied Health Professionals, Medical Unit Occupational Therapy & Physiotherapy, Karolinska University Hospital, Stockholm, Sweden
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Franzén, Erika (author)
Karolinska Institutet
Boström, Anne-Marie (author)
Karolinska Institutet
Welmer, Anna-Karin (author)
Stockholms universitet,Centrum för forskning om äldre och åldrande (ARC), (tills m KI),Karolinska Institutet, Sweden; Stockholm Gerontology Research Center, Sweden; Karolinska University Hospital, Sweden.,Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden; Women's Health and Allied Health Professionals Theme, Medical Unit Medical Psychology, Karolinska University Hospital, Stockholm, Sweden
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 (creator_code:org_t)
Lippincott Williams & Wilkins, 2023
2023
English.
In: Journal of Geriatric Physical Therapy. - : Lippincott Williams & Wilkins. - 1539-8412 .- 2152-0895. ; 46:2, s. 103-109
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Background and Purpose:  The First-time Injurious Fall (FIF) screening tool was created to identify fall risk in community-living older men and women, who may be targets for primary preventive interventions. The FIF tool consists of 3 self-reported questions and 1 physical test (1-leg standing balance). The purpose of this study was to examine the predictive ability of the FIF tool and a modified FIF tool (in which 1-leg standing is replaced by self-reported balance) for first-time injurious falls.Methods:  A cohort of 1194 community-living people 60 years and older from the Swedish National Study on Aging and Care in Kungsholmen (SNAC-K), Sweden, was followed longitudinally for 5 years. Data on injurious falls were collected from registered data and were defined as receipt of care after a fall. The predictive ability of the FIF tool and the m-FIF tool was explored using Harrell's C statistic, stratified by sex.Results and Discussion:  The injurious fall rate per 1000 person-years was 54.9 (95% CI: 47.22-63.78) for women and 36.3 (95% CI: 28.84-45.78) for men. The predictive ability for women and men according to Harrell's C statistic was 0.70 and 0.71 for the FIF tool and the m-FIF tool. The predictive ability was 0.70 and 0.69 for 1-leg standing, and 0.65 and 0.60 for self-reported balance problems.Conclusions:  The m-FIF tool presented similar predictive ability as the FIF tool regarding first-time injurious falls. This finding could extend the usefulness of the tool to other settings, such as to electronic health (eHealth). A quickly and easily administered screening tool can help physical therapists to identify people with a high risk of falling who may need to undergo a more comprehensive fall risk assessment.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Geriatrik (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Geriatrics (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Annan medicin och hälsovetenskap -- Gerontologi, medicinsk/hälsovetenskaplig inriktning (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Other Medical and Health Sciences -- Gerontology, specialising in Medical and Health Sciences (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)

Keyword

community living
eHealth
objective measurement
older adults
subjective measurement

Publication and Content Type

ref (subject category)
art (subject category)

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