Evidence map›Paper›PMID 38982344›Full record

ArticleBMC geriatrics2024

Identifying determinants for falls among Iranian older adults: insights from the Bushehr Elderly Health Program.

Kazem Khalagi, Amir Human Hoveidaei, Hani AziziKia, Amirali Karimi, Reza Sattarpour, Noushin Fahimfar, Mahnaz Sanjari, Mohammad Javad Mansourzadeh, Iraj Nabipour, Bagher Larijani and 1 more

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  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

11 authors.

Kazem KhalagiOsteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute , Tehran University of Medical Sciences, No.10- Jalal-e-ale-ahmad st, Chamran hwy, 14117-13137, Tehran, Iran.
Amir Human HoveidaeiSports Medicine Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Hani AziziKiaStudent Research Committee, School of Medicine, Shahroud University of Medical Sciences, Shahroud, Iran.
Amirali KarimiSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Reza SattarpourSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Noushin FahimfarOsteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute , Tehran University of Medical Sciences, No.10- Jalal-e-ale-ahmad st, Chamran hwy, 14117-13137, Tehran, Iran.
Mahnaz SanjariOsteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute , Tehran University of Medical Sciences, No.10- Jalal-e-ale-ahmad st, Chamran hwy, 14117-13137, Tehran, Iran.
Mohammad Javad MansourzadehOsteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute , Tehran University of Medical Sciences, No.10- Jalal-e-ale-ahmad st, Chamran hwy, 14117-13137, Tehran, Iran.
Iraj NabipourThe Persian Gulf Marine Biotechnology Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran.
Bagher LarijaniEndocrinology Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Afshin OstovarOsteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute , Tehran University of Medical Sciences, No.10- Jalal-e-ale-ahmad st, Chamran hwy, 14117-13137, Tehran, Iran. aostovar@tums.ac.ir.ORCID http://orcid.org/0000-0001-8670-5797

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFalls are a common cause of fractures in older adults. This study aimed to investigate the factors associated with spontaneous falls among people aged ≥ 60 years in southern Iran.

methodsThe baseline data of 2,426 samples from the second stage of the first phase of a prospective cohort, the Bushehr Elderly Health (BEH) program, were included in the analysis. A history of spontaneous falls in the year before recruitment was measured by self-report using a standardized questionnaire. Demographic characteristics, as well as a history of osteoarthritis, rheumatoid arthritis, low back pain, Alzheimer's disease, epilepsy, depression, and cancer, were measured using standardized questionnaires. A tandem gait (heel-to-toe) exam, as well as laboratory tests, were performed under standard conditions. A multiple logistic regression model was used in the analysis and fitted backwardly using the Hosmer and Lemeshow approach.

resultsThe mean (standard deviation) age of the participants was 69.34 (6.4) years, and 51.9% of the participants were women. A total of 260 (10.7%, 95% CI (9.5-12.0)%) participants reported a spontaneous fall in the year before recruitment. Adjusted for potential confounders, epilepsy (OR = 4.31), cancer (OR = 2.73), depression (OR = 1.81), low back pain (OR = 1.79), and osteoarthritis (OR = 1.49) increased the risk of falls in older adults, while the ability to stand ≥ 10 s in the tandem gait exam (OR = 0.49), being male (OR = 0.60), engaging in physical activity (OR = 0.69), and having high serum triglyceride levels (OR = 0.72) reduced the risk of falls.

conclusionThe presence of underlying diseases, combined with other risk factors, is significantly associated with an increased risk of falls among older adults. Given the relatively high prevalence of falls in this population, it is crucial to pay special attention to identifying and addressing these risk factors.

Indexed as

Accidental FallsAgedAged, 80 and overCohort StudiesFemaleHumansIranMaleMiddle AgedProspective StudiesRisk FactorsAccidental fallsFallsIranOlder adultsRisk factors

Identifiers

PMID38982344
PMCPMC11232168

What Socratic holds

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LicenceCC BY
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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 Socratic graph.