Evidence map›Paper›PMID 39716046›Full record

ArticleBMC geriatrics2024

Association of timed up and go test results with future injurious falls among older adults by sex: a population-based cohort study.

Jiyun Kim, Sookja Choi

Abstract read
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

2 authors.

Jiyun KimCollege of Nursing, Research Institute of AI and Nursing Science, Gachon University, 191 Hambakmoero, Yeonsu-gu, Incheon, 21936, Korea.ORCID http://orcid.org/0000-0001-5182-0242
Sookja ChoiRed Cross College of Nursing, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul, 06974, Korea. sjchoi2u@cau.ac.kr.ORCID http://orcid.org/0000-0001-7476-6891

Funding

National Research Foundation of Korea NRF-2020R1F1A1076167
6 · The paper itself

Abstract

backgroundThis study aimed to determine whether sex-specific timed up and go (TUG) test results are associated with injurious fall occurrence in older adults and to identify risk factors for injurious falls based on TUG test results.

methodsData were obtained from an older adult cohort database provided by the National Health Insurance Service, which included 34,030 individuals aged 66 years or older who underwent life-transition health examinations in 2007 and 2008 and were followed up until 2019. To identify the risk factors for injurious falls, this study performed a Cox proportional hazard regression analysis by sex, with individual characteristics, including TUG test results, as independent variables.

resultsThe TUG test was associated with injurious falls occurrence in older adult men, but not in older adult women. Among men with abnormal TUG results, those with abnormal systolic blood pressure had a greater risk of injurious falls. In women, dysuria, hearing impairment, underweight, abnormal systolic blood pressure, diabetes, depressive mood, and low bone mineral density (osteopenia and osteoporosis) were identified as risk factors for injurious falls, regardless of the TUG test results. Risk factors for injurious falls after the TUG test differed by sex.

conclusionsThe TUG test is useful for detecting injurious falls in older adult men. This study identified important risk factors for injurious falls in older adult women that can be targeted in prevention strategies.

Indexed as

Accidental FallsAgedAged, 80 and overCohort StudiesFemaleGeriatric AssessmentHumansMaleRisk FactorsSex FactorsWounds and InjuriesFallOlder adultRisk factorSex differenceTimed up and go test

Identifiers

PMID39716046
PMCPMC11664902

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LicenceCC BY-NC-ND
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Registered trials

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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.