English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Purpose: To evaluate the relevance and accuracy of determining and predicting risk factors for falls in older women using the International Classification of Functioning, Disability and Health (ICF). Methods: We tested the accuracy of the ICF against risk of falls amongst 568 community dwelling participants of the Australian Longitudinal Survey on Women’s Health (ALSWH). We linked health-related variables to the ICF using ten linking rules. The logistic regression analysis evaluated the relationship between the variables and the outcome of falls. Self-report surveys measured daily functioning, health service use, medications, housing and social support. Results: Variables aligned with the ICF components of body function, health conditions, environment, activity and participation (ADL/IADL), and general health were significantly associated with falls. Discussion and conclusion: Mapping ALSWH health-related data to ICF components identified significant risk factors for falls are related to health conditions, functional limitations and home hazards. Bio-psychosocial approaches guided by the ICF framework are crucial for fall prevention

health

Can the International Classification of Functioning, Disability and Health (ICF) be used to understand risk factors for falls in older Australian women?