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Determining the Profile of People with Fall Risk in Community-Living Older People in Algarve Region

A Cross-Sectional, Population-Based Study

Dados Bibliográficos

ID15465447
AutoresCarla Guerreiro (0000-0001-6568-427X, Algarve Biomedical Center), Marta Botelho (0000-0001-9540-5892, Algarve Biomedical Center), Elia Fernández‐Martínez (0000-0002-7700-999X, Universidad de Huelva, autor correspondente), Ana Marreiros (0000-0001-9410-4772, Algarve Biomedical Center), Sandra Pais (0000-0001-8472-4994, Algarve Biomedical Center)
Ano2022
Volume19
Fascículo4
Páginas2249-2249
Data de publicação2022-02-16
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores do periódicoISSN: 1661-7827 • E-ISSN: 1660-4601
EditoraMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph19042249
PMID35206432
OpenAlexW4212832268
IdiomaEN
Citações recebidas1
Referências citadas30

One in three people aged 65 years or older falls every year. Injuries associated with this event among the older population are a major cause of pain, disability, loss of functional autonomy and institutionalization. This study aimed to assess mobility and fall risk (FR) in community-living older people and to determine reliable and independent measures (health, social, environmental and risk factors) that can predict the mobility loss and FR. In total, 192 participants were included, with a mean age of 77.93 ± 8.38. FR was assessed by EASY-Care (EC) Standard 2010, the Tinetti Test and the Modified Falls Efficacy Scale (MFES). An exploratory analysis was conducted using the divisive non-hierarchical cluster method, aiming to identify a differentiator and homogeneous group of subjects (optimal group of variables) and to verify if that group shows differences in fall risk. Individually, the health, social, environmental and risk factor categories were not found to be an optimal group; they do not predict FR. The most significant predictor variables were a mix of the different categories, namely, the presence of pain, osteoarthritis (OA), and female gender. The finding of a profile that allows health professionals to be able to quickly identify people at FR will enable a reduction in injuries and fractures resulting from falls and, consequently, the associated costs

Activities of daily living · Cross-sectional study · Environmental health · Gait · Injury prevention · Occupational safety and health · Older people · Physical therapy · Poison control · Population · Tinetti test · Balance, Gait, and Falls Prevention · Cerebral Palsy and Movement Disorders · Demography · Medicine · Stroke Rehabilitation and Recovery · Gerontology

  • Falls and associated risk factors in a sample of old age population in Egyptian community

    Open Access•Abd El Hamied Ibrahim El Sayed, M Saïd et al.•Frontiers in Public Health•2023

  • The Importance of Walking to Public Health

    I-Min Lee, I‐Min Lee et al.•Medicine & Science in Sports &…•2008

  • Guideline for the Prevention of Falls in Older Persons

    Open Access•American Geriatrics Society, Geriatrics Society et al.•Journal of the American…•2001

  • Development of a fall-risk assessment profile for community-dwelling older adults by using the National Health Interview Survey in Taiwan

    Open Access•Ping-Ling Chen, Hsiao-Yu Lin et al.•BMC Public Health•2020

Obras citantes distintas1
Citações por ano0,33
Intervalo de citações2023 - 2023 (1)
Velocidade de citaçãohistorical
Altamente citadoNão
Tipos de citaçãoNeutras: 1
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