Evidence map›Paper›PMID 41612243›Full record

ArticleBMC geriatrics2026

Loneliness as a predictor of quality of life in older adults receiving primary health care in Türkiye: a cross-sectional study.

Dinçer Atila, Akgün Yeşiltepe, Ayşe Çal

Abstract read
In one paragraph

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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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

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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

3 authors.

Dinçer AtilaFamily Health Center, Number 1, Menemen/İzmir, Türkiye.ORCID http://orcid.org/0000-0003-0835-2740
Akgün YeşiltepeMunzur University Faculty of Health Sciences, Department of Midwifery, Tunceli, Türkiye. akgunyesiltepe@gmail.com.ORCID http://orcid.org/0000-0002-4720-3118
Ayşe ÇalAnkara Medipol University Faculty of Health Sciences, Department of Nursing, Ankara, Türkiye.ORCID http://orcid.org/0000-0002-2890-156X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLoneliness and social isolation among older adults is a growing concern in many societies, as the aging population continues to increase. The aim of the study is to examine the relationship between loneliness and quality of life in individuals aged 65 and over who apply to primary health care institutions.

methodsThis descriptive-correlational study was conducted face-to-face with 216 individuals aged 65 and over. The socio-demographic form and the Loneliness Scale for Elderly and Quality of Life Scale were used as data collection tools in the study. JASP 0.19, SPSS 26 analysis programs were used to perform t test, One Way ANOVA Bonferrroni test, Pearson correlation, and regression analysis.

resultsAccording to Pearson correlation analysis, strong negative relationships were found between quality of life and loneliness in the elderly. As quality of life increased, levels of loneliness, social loneliness, and emotional loneliness decreased (r = −0.854, r = −0.737, r = −0.717; p <0.001). While there was a strong positive relationship between the loneliness scale for elderly and the social loneliness sub-dimension (r = 0.867, p < 0.001), there was also a positive relationship between the loneliness scale for elderly and the emotional loneliness sub-dimension (r = 0.835, p < 0.001). A statistically significant difference was found between chronic disease, educational status, income status, marital status, and both loneliness and quality of life.

conclusionLoneliness is an important predictor of quality of life among older adults. Both social and emotional loneliness are negatively associated with quality of life, indicating that higher levels of loneliness are linked to lower quality of life in this population.

Indexed as

LonelinessPrimary Health CareQuality of LifeAgedAged, 80 and overCross-Sectional StudiesFemaleFinlandHumansMalePredictive Value of TestsSocial IsolationElderlyGeriatricsLonelinessPrimary health careQuality of life

Identifiers

PMID41612243
PMCPMC12879369

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LicenceCC BY-NC-ND
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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.