Evidence map›Paper›PMID 41507844›Full record

ArticleBMC geriatrics2026

Predictors of psychological symptom risk in older adults in Türkiye: the role of mental health literacy and demographic-clinical factors.

Nazan Turan, Selcen Babaoğlu Aydaş, Şahinde Canbulat

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Article in BMC geriatrics, 2026. 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Nazan TuranVocational High School of Health Services, Gazi University, Ankara, Turkey. nazanturan@gazi.edu.tr.ORCID http://orcid.org/0000-0001-9251-7282
Selcen Babaoğlu AydaşVocational High School of Health Services, Gazi University, Ankara, Turkey.ORCID http://orcid.org/0000-0002-7954-2085
Şahinde CanbulatFaculty of Nursing, Ankara University, Ankara, Turkey.ORCID http://orcid.org/0000-0003-4264-9740

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile psychological symptoms are common among older adults, Mental Health Literacy (MHL) is low. This situation may show significant differences in MHL levels and psychological symptom severity among risk groups. However, this is not sufficiently clear. Therefore, this study aimed to examine psychological symptom risk levels and MHL among older adults in Türkiye, and to identify demographic, clinical, and MHL-related factors associated with variation in continuous Global Severity Index (GSI) scores within the high-risk and very-high-risk groups.

methodsA cross-sectional design was used. The study was completed with 985 older adults aged between 65 and 89 years. Data were collected via the Participant Information Form, MHL Scale, and Symptom Checklist–90–Revised (SCL-90-R). Univariate and multivariate linear regression analyses were conducted to identify predictors of high-risk psychological symptoms, with multicollinearity checked via VIF values.

resultsBased on GSI scores obtained from the SCL-90-R scale, 42.6% of participants were in the normal risk group, 39.6% in the high-risk group, and 17.8% in the very high-risk group. In Model 1, multivariate regression analyses revealed that low MHL, being aged 65–74, female gender, low education level, and a history of mental disorder were significant predictors of high-risk GSI. In Model 2, the absence of a physical chronic disease was additionally found to be a significant predictor. Together, these variables explained 31–34% of the variance in GSI risk.

conclusionsThese results suggest that MHL, along with key demographic and clinical factors, plays a significant role in predicting high-risk GSI among older adults.

Indexed as

DemographyHealth LiteracyMental DisordersMental HealthAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMalePredictive Value of TestsRisk FactorsAgingHealth literacyMental disorderPsychological distress

Identifiers

PMID41507844
PMCPMC12784502

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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.