Evidence map›Paper›PMID 31481377›Full record

ArticleBMJ open2019

Fall and risk factors for veterans and non-veterans inpatients over the age of 65 years: 14 years of long-term data analysis.

Huey-Jen Perng, Yu-Lung Chiu, Chi-Hsiang Chung, Senyeong Kao, Wu-Chien Chien

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

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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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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

5 authors at 2 institutions in 1 country.

Huey-Jen PerngGraduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan.
Yu-Lung ChiuSchool of Public Health, National Defense Medical Center, Taipei, Taiwan.
Chi-Hsiang ChungDepartment of Medical Research, Tri-Service General Hospital Taipei, National Defense Medical Center, Taipei, Taiwan.
Senyeong KaoGraduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan.
Wu-Chien ChienGraduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan chienwu@ndmctsgh.edu.tw.
National Defense Medical Center · TWTri-Service General Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFalls are one of the most important causes of injuries and accidental deaths among this segment of over the age of 65 years.The long-term follow-up study of fall-related injuries was conducted in elderly veterans over the age of 65 years, and the risk of falls in veterans and non-veterans was compared.

methodsThis study used the National Health Insurance Research Database for the period from 2000 to 2013 in Taiwan. This longitudinal study tracked falls in veterans over the age of 65 years, designated a control group (non-veterans), using 1:2 pairing on the basis of sex and time receiving medical care, and used Cox regression to analyse and compare the risk of falls among veterans and non-veterans.

resultsThis study subjects consisted of 35 454 of the veterans had suffered falls (9.5%), as had 55 037 of the non-veterans (7.4%). After controlling for factors such as comorbidities/complications, the veterans had 1.252 times the risk of falls of the non-veterans. Furthermore, among persons in the 75-84 years old age group, veterans had 1.313 times the risk of falls of non-veterans, and among persons with mental illnesses and diseases of the eyes, veterans had 1.300 and 1.362 times the risk of falls of non-veterans. In addition, each veteran had an average of 4.07 falls during the 2000-2013 period, which was significantly higher than in the case of non-veterans (3.88 falls).

conclusionsVeterans' risk of falls and recurrent falls were both higher than those of non-veterans, and age level, comorbidities/complications and level of low urbanisation were all important factors affecting veterans' falls. The responsible authorities should, therefore, use appropriate protective measures to reduce the risk of falls and medical expenses in high-risk groups.

Indexed as

Veterans HealthAccidental FallsAgedAged, 80 and overData AnalysisFemaleFollow-Up StudiesHumansLongitudinal StudiesMaleRisk FactorsTaiwanTime FactorsFallsNational Health Insurance Research DatabaseVeteran

Identifiers

PMID31481377
PMCPMC6731917
OpenAlexW2972069326

What OpenQuestion holds

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LicenceCC BY-NC
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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.