Prospective evaluation of balance and mobility tests as part of the World Falls Guidelines algorithm.

Background Falls are the leading cause of unintentional injury in older adults. While guidelines recommend balance and mobility tests to identify individuals at risk, their ability to predict future falls and improve the World Falls Guidelines (WFG) risk stratification remains uncertain. Methods A 1...

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Publicado en:Age & Ageing Vol. 55; no. 2; pp. 1 - 11
Autores principales: Saunders, Stephanie, Speechley, Mark, Griffith, Lauren E, Kuspinar, Ayse, Sibley, Kathryn M, Raina, Parminder, D'amore, Cassandra, Richardson, Julie, Noble, Tara, Beauchamp, Marla K
Formato: Artículo
Publicado: Oxford University Press / USA Feb2026
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Acceso en línea:Ver este registro en EBSCOhost
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        10.1093/ageing/afag028
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        atl: Prospective evaluation of balance and mobility tests as part of the World Falls Guidelines algorithm.
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          Saunders, Stephanie
          Speechley, Mark
          Griffith, Lauren E
          Kuspinar, Ayse
          Sibley, Kathryn M
          Raina, Parminder
          D'amore, Cassandra
          Richardson, Julie
          Noble, Tara
          Beauchamp, Marla K
        affil:
          School of Rehabilitation Science, Faculty of Health Sciences, McMaster University, Hamilton ON, Canada
          Department of Epidemiology and Biostatistics, Western University
          Department of Health Research Methods, Evidence, and Impact, McMaster UniversityMcMaster Institutes for Research on Aging, McMaster University
          School of Rehabilitation Science, Faculty of Health Sciences, McMaster University, Hamilton ON, CanadaMcMaster Institutes for Research on Aging, McMaster University
          Department of Community Health Sciences, Max Rady College of Medicine, University of Manitoba
          School of Rehabilitation Science, Faculty of Health Sciences, McMaster University, Hamilton ON, CanadaDepartment of Physical Therapy, University of British Columbia
          School of Rehabilitation Science, Faculty of Health Sciences, McMaster University, Hamilton ON, CanadaDepartment of Health Research Methods, Evidence, and Impact, McMaster UniversityMcMaster Institutes for Research on Aging, McMaster University
          School of Rehabilitation Science, Faculty of Health Sciences, McMaster University, Hamilton ON, CanadaMcMaster Institutes for Research on Aging, McMaster UniversityDixon Hall, McMaster Institute for Research on Aging, McMaster University
      su:
        Canada
        Analysis of variance
        Old age
        Risk assessment
        Independent living
        Research funding
        Receiver operating characteristic curves
        Data analysis
        Questionnaires
        Kruskal-Wallis Test
        Descriptive statistics
        Chi-squared test
        Diagnosis
        Gait in humans
        Longitudinal method
        Statistics
        Confidence intervals
        Data analysis software
        Walking speed
        Accidental falls
        Postural balance
        Physical mobility
        Algorithms
        Predictive validity
        Sensitivity & specificity (Statistics)
      sug:
        subj:
          Analysis of variance
          Old age
          Canada
          Risk assessment
          Independent living
          Research funding
          Receiver operating characteristic curves
          Data analysis
          Questionnaires
          Kruskal-Wallis Test
          Descriptive statistics
          Chi-squared test
          Diagnosis
          Gait in humans
          Longitudinal method
          Statistics
          Confidence intervals
          Data analysis software
          Walking speed
          Accidental falls
          Postural balance
          Physical mobility
          Algorithms
          Predictive validity
          Sensitivity & specificity (Statistics)
      keyword:
        ageing
        community
        community dwelling
        copyrightHolder:British Geriatrics Society
        copyrightYear:2026
        criterion validity
        fall risks
        falls
        functional tests
        guidelines
        https://dx.doi.org/10.1093/ageing/afag028
        injury
        inLanguage:en
        measurement properties
        mobility
        older adult
        older people
        performance-based tests
        physical tests
        postural control
        practice guidelines
        psychometric
        publisher:Oxford University Press
        sameAs:https://pubmed.ncbi.nlm.nih.gov/41697879/
        walking speed
        ageing
        community
        community dwelling
        copyrightHolder:British Geriatrics Society
        copyrightYear:2026
        criterion validity
        fall risks
        falls
        functional tests
        guidelines
        https://dx.doi.org/10.1093/ageing/afag028
        injury
        inLanguage:en
        measurement properties
        mobility
        older adult
        older people
        performance-based tests
        physical tests
        postural control
        practice guidelines
        psychometric
        publisher:Oxford University Press
        sameAs:https://pubmed.ncbi.nlm.nih.gov/41697879/
        walking speed
      ab: Background Falls are the leading cause of unintentional injury in older adults. While guidelines recommend balance and mobility tests to identify individuals at risk, their ability to predict future falls and improve the World Falls Guidelines (WFG) risk stratification remains uncertain. Methods A 12-month prospective cohort study of community-dwelling older adults in Canada (≥65 years) who could walk 10 m without physical assistance. Balance and mobility assessments included the timed up and go (TUG) at usual and fast pace and with a cognitive dual task (cog), the Brief BESTest, five times sit-to-stand, single-leg stance (SLS) and gait speed. Falls were recorded prospectively using monthly fall calendars and quarterly telephone interviews. Results Of 514 participants who completed baseline assessments, 486 (95%) completed the 12-month follow-up. Mean age was 76.4 years, 64% were female, and 266 (52%) experienced ≥1 fall during follow-up. For predicting ≥1 fall, area under the curve (AUC) values ranged from 0.561 [95% confidence interval (CI) = 0.51–0.61] for SLS to 0.593 (95% CI = 0.50–0.69) for gait speed. For ≥2 falls, AUCs ranged from 0.581 (95% CI = 0.52–0.64) for TUGcog to 0.639 (95% CI = 0.54–0.74) for gait speed and for injurious falls from 0.620 (95% CI = 0.54–0.70) for TUGcog to 0.70 (95% CI = 0.54–0.86) for gait speed. Using the WFG algorithm without mobility tests deemed 282 participants as low risk, 41% of whom fell; adding mobility tests to the algorithm increased this proportion to 56%. Conclusion and relevance Common balance and mobility tests showed limited predictive validity for future falls. Incorporating these tests into the WFG algorithm did not improve fall risk stratification in community-dwelling older adults.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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