Evidence map›Paper›PMID 40566332›Full record

ArticleInternational journal of environmental research and public health2025

Investigating Fall-Related Factors in Community-Dwelling Older Women Through Structural Equation Modeling Analysis.

Riskah Nur'amalia, Mayumi Kato, Masami Yokogawa, Yoshimi Taniguchi, Andi Masyitha Irwan

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Riskah Nur'amaliaDoctoral Course of Graduate School of Medical Sciences, Kanazawa University, Kanazawa 9200942, Japan.ORCID 0000-0001-5356-4166
Mayumi KatoFaculty of Health Sciences, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa 9200942, Japan.ORCID 0000-0001-6423-0559
Masami YokogawaFaculty of Health Sciences, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa 9200942, Japan.ORCID 0000-0003-0882-8083
Yoshimi TaniguchiFaculty of Health Sciences, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa 9200942, Japan.ORCID 0000-0002-7499-9414
Andi Masyitha IrwanFaculty of Nursing, Hasanuddin University, Makassar 90245, Indonesia.ORCID 0000-0002-4715-7668

Funding

Japan Society for the Promotion of Science 20K11015
6 · The paper itself

Abstract

Falls are more prevalent in older women than in older men; however, few structural equation analysis studies have focused on the factors contributing to falls in this population, particularly in Asian regions such as Indonesia. This study aimed to investigate the direct and indirect associations among fall-related factors in community-dwelling older women. This cross-sectional study enrolled 90 community-dwelling older women aged ≥ 60 years from August to September 2023. Data collection included structured questionnaires on fall incidence as a sociodemographic variable, fear of falling, and gait efficacy, as well as physical measurements of physical function and the amount of physical activity. Structural equation modeling was used to test the hypothesized pathways among the variables. The results showed that physical function (β = 0.233,

Indexed as

Accidental FallsIndependent LivingAgedAged, 80 and overCross-Sectional StudiesExerciseFearFemaleGaitHumansIncidenceIndonesiaLatent Class AnalysisMiddle AgedRisk Factorsfallgait efficacyolder womenphysical activitystructural equation modeling

Identifiers

PMID40566332
PMCPMC12193110

What OpenQuestion 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 OpenQuestion graph.