Evidence map›Paper›PMID 40689053›Full record

ArticleJAR life2025

The relationship between symptoms of depression and falls in older adults: A case-control study.

Manizheh Moshtaghi, Sadegh Kargarian-Marvasti, Pouya Farokhnezhad Afshar, Seyedeh Melika Kharghani Moghaddam, Fatemeh Bahramnezhad

Abstract read
In one paragraph

Article in JAR life, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Manizheh MoshtaghiSchool of Public Health, Iran University of Medical Sciences, Tehran, Iran.
Sadegh Kargarian-MarvastiIsfahan University of Medical Sciences, Isfahan, Iran.
Pouya Farokhnezhad AfsharDepartment of Geriatric Health, School of Behavioral Sciences and Mental Health (Tehran Institute of Psychiatry), Iran University of Medical Sciences, Tehran, Iran.
Seyedeh Melika Kharghani MoghaddamDepartment of Health Services, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
Fatemeh BahramnezhadNursing and Midwifery Care Research Center, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Fall is one of the most common and severe syndromes of older adults that causes disability. Depression is one of the disorders that can lead to many problems, but the results have been contradictory. Objectives: This study aimed to determine the relationship between symptoms of depression and falls in older adults. Design: This observational study. Setting: We collected the data from the health records of older adults in comprehensive health service centers. Participants: We selected two groups of older adults (60 years and above) as the case group (400 older adults with a history of falling) and the control group (400 older adults without a history of falling). Measurements: The history of falling was based on the report of old people during a month ago. Symptoms of Depression has been assessed using the Goldberg General Health Questionnaire (GHQ-28). Results: 62.5 % of the sample were old women. The elderly males were 74.6 ± 0.47 years, and the elderly women were 72.9 ± 0.34 years. There was no significant relationship between symptoms of depression and falls in older adults (OR = 1.321, Conclusions: The symptoms of depression are not related to falls in older adults. However, being above 75 years old and living alone increases the risk of falls, and higher education reduces the risk of falls.

Indexed as

AgedDepressionFall

Identifiers

PMID40689053
PMCPMC12274764

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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.