Evidence map›Paper›PMID 41180384›Full record

ArticleAging medicine (Milton (N.S.W))2025

Mental Health and Aging: Identifying Risk and Protective Factors of Anxiety and Depression in Older Women.

Guilherme Augusto Santos Bueno, Renato Canevari Dutra da Silva, Elton Brás Camargo Júnior, Stephany Kindorly de Oliveira Bueno, Anabela Correia Martins, Ruth Losada de Menezes

Abstract read
In one paragraph

Article in Aging medicine (Milton (N.S.W)), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

6 authors.

Guilherme Augusto Santos BuenoPostgraduate Program in Health Sciences and Technologies University of Brasília Brasília Brazil.ORCID https://orcid.org/0000-0002-7924-3886
Renato Canevari Dutra da SilvaDepartment of Odontology University of Rio Verde Rio Verde Goiás Brazil.ORCID https://orcid.org/0000-0002-6428-2823
Elton Brás Camargo JúniorDepartment of Postgraduate University of Rio Verde Rio Verde Goiás Brazil.
Stephany Kindorly de Oliveira BuenoDepartment of Physiotherapy Strategic Health Management Institute of the Federal District Brasília Brazil.
Anabela Correia MartinsLabinSaúde Coimbra Health School Polytechnic of Coimbra, (ESTeSC-IPC) Coimbra Portugal.
Ruth Losada de MenezesPostgraduate Program in Health Sciences and Technologies University of Brasília Brasília Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To identify risk and protective factors associated with anxiety and depression symptoms in older adult women, considering clinical, functional, and electrophysiological parameters. Methods: This cross-sectional observational study involved 91 women aged 65 or older. Assessments included EEG-derived valence and excitation levels, motor reaction time, body composition, and functional performance. Anxiety and depression were screened using the mind over mood anxiety inventory and the geriatric depression scale, respectively. Results: Anxiety symptoms were present in 28.6% of participants and depressive symptoms in 27.5%. Risk factors for anxiety included fear of falling (OR = 2.023, 95% CI = 1.554-2.944, Conclusion: Functional and emotional parameters, particularly valence and gait performance, suggest a potential protective role against anxiety and depression in aging women. The findings reinforce the importance of integrated assessments to support early detection and guide intervention planning, while further studies are recommended to strengthen these observations.

Indexed as

anxietydepressionpostural balancereaction timeseniors

Identifiers

PMID41180384
PMCPMC12576585

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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.