Evidence map›Paper›PMID 35663527›Full record

ArticlePeerJ2022

Risk factors for falls in community-dwelling older people with mild cognitive impairment: a prospective one-year study.

Thanwarat Chantanachai, Morag E Taylor, Stephen R Lord, Jasmine Menant, Kim Delbaere, Perminder S Sachdev, Nicole A Kochan, Henry Brodaty, Daina L Sturnieks

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 pooled it
12.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 3 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Associations Between Multiple Falls and Mental Health Indices in Korean Older Adults: A Cross-sectional Study.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2025
    Article
  12. Article
  13. Prevalence and risk factors for falls among older Chinese adults in the community: findings from the CLHLS study.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. The Incidence of Falls and Related Factors among Chinese Elderly Community Residents in Six Provinces.International journal of environmental research and public health · 2022
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Thanwarat ChantanachaiFalls, Balance and Injury Research Centre, Neuroscience Research Australia, Sydney, New South Wales, Australia.
Morag E TaylorFalls, Balance and Injury Research Centre, Neuroscience Research Australia, Sydney, New South Wales, Australia.ORCID 0000-0002-4436-862X
Stephen R LordFalls, Balance and Injury Research Centre, Neuroscience Research Australia, Sydney, New South Wales, Australia.
Jasmine MenantFalls, Balance and Injury Research Centre, Neuroscience Research Australia, Sydney, New South Wales, Australia.
Kim DelbaereFalls, Balance and Injury Research Centre, Neuroscience Research Australia, Sydney, New South Wales, Australia.ORCID 0000-0002-5655-0234
Perminder S SachdevNeuropsychiatric Institute, Prince of Wales Hospital, Randwick, New South Wales, Australia.
Nicole A KochanFaculty of Medicine and Health, University of New South Wales, Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, Sydney, New South Wales, Australia.
Henry BrodatyFaculty of Medicine and Health, University of New South Wales, Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, Sydney, New South Wales, Australia.
Daina L SturnieksFalls, Balance and Injury Research Centre, Neuroscience Research Australia, Sydney, New South Wales, Australia.
UNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Mild cognitive impairment (MCI) is considered an intermediate stage between normal cognitive function and dementia. Fall risk is increased in this group, but there is limited literature exploring specific fall risk factors that may be addressed in fall prevention strategies. The aim of this study was to examine risk factors for falls in older people with MCI, focusing on cognitive, psychological and physical factors. Methods: Participants ( Results: During follow-up, 106 (40%) participants reported one or more falls. Poorer visual contrast sensitivity, increased postural sway, lower levels of weekly walking activity, higher levels of depressive symptoms and psychotropic medication use were significantly associated with faller status (≥1 falls) in univariable analyses. Of these factors, poor visual contrast sensitivity, increased postural sway and psychotropic medication use were found to be significant independent predictors of falls in multivariable analysis while controlling for age and sex. No measures of cognitive function were associated with falls. Conclusions: Poor visual contrast sensitivity, impaired balance and psychotropic medication use predicted falls in community-dwelling people with MCI. These risk factors may be amenable to intervention, so these factors could be carefully considered in fall prevention programs for this population.

Indexed as

Accidental FallsCognitive DysfunctionAgedFemaleHumansIndependent LivingMaleProspective StudiesRisk FactorsAccidental fallsAgedCognitive dysfunctionPostural balancePsychotropic drugsVision disorders

Identifiers

PMID35663527
PMCPMC9161814
OpenAlexW4281672119

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.