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WGFPM falls risk stratification algorithm

Biomarker

1 paper2 findings

  • Humans1

Associations

2

Injury from falling

upin humans1

1 study

  1. WGFPM falls risk stratification algorithm predicts injury from falling in humans (7.1% vs 18.8% vs 18.7%).

    “7.1%, 18.8% and 18.7%, respectively, reported having sustained an injury from falling.”

    Humansapproximately 2 yearsn = 5,882

    The use of the World Guidelines for Falls Prevention and Management's risk stratification algorithm in predicting falls in The Irish Longitudinal Study on Ageing (TILDA)

    Age and ageingJul 1, 2023

Falls

upin humans1

1 study

  1. WGFPM falls risk stratification algorithm predicts falls in humans (17.4% vs 43.8% vs 40.5%).

    “At Wave 2, 17.4%, 43.8% and 40.5% of low-, intermediate- and high-risk groups reported having fallen”

    Humansapproximately 2 yearsn = 5,882

    The use of the World Guidelines for Falls Prevention and Management's risk stratification algorithm in predicting falls in The Irish Longitudinal Study on Ageing (TILDA)

    Age and ageingJul 1, 2023

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