Evidence map›Paper›PMID 40186812›Full record

ArticleJournal of behavioral medicine2025

Mediating role of disease acceptance in the relationship between social support and adherence to treatment in patients with type 2 diabetes.

Gülyeter Erdoğan Yüce, Heja Yıldırım

Abstract read
In one paragraph

Article in Journal of behavioral medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

2 authors.

Gülyeter Erdoğan YüceFaculty of Health Sciences, Aksaray University, Aksaray, 68100, Turkey. gulyetererdoganyuce@aksaray.edu.tr.ORCID 0000-0002-2322-0511
Heja YıldırımFaculty of Health Sciences, Aksaray University, Aksaray, 68100, Turkey.ORCID 0009-0000-9596-7908

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes is a widespread, chronic metabolic disease with significant consequences for public health. Poor adherence to treatment in type 2 diabetes patients is associated with inadequate glycemic control, increased medical costs, increased use of healthcare services, and increased mortality. Understanding how social support and disease acceptance influence treatment adherence can inform more effective diabetes management strategies. This study investigated the relationship between social support, disease acceptance, and treatment adherence in adults with type 2 diabetes. This cross-sectional correlational study was conducted on 332 individuals with type 2 diabetes in Türkiye. Data were collected using a patient information form, Acceptance of Illness Scale, Multidimensional Perceived Social Support Scale, and type 2 Diabetes Treatment Adherence Scale. Relationships between variables were analyzed using Pearson correlation coefficients, linear regression, and mediation analysis. The regression analysis indicated significant effects of social support on treatment adherence (β=-0.312, p < 0.001) and disease acceptance (β = 0.267, p < 0.001) and of disease acceptance on treatment adherence (β=-0.378, p < 0.001). Additionally, disease acceptance partially mediated the relationship between social support and treatment adherence (β=-0.101, %95 Cl [-0.154, -0.055]). The findings showed that high levels of social support and illness acceptance can improve treatment adherence and that social support may also indirectly enhance treatment adherence by promoting illness acceptance.

Indexed as

Diabetes Mellitus, Type 2Patient ComplianceSocial SupportTreatment Adherence and ComplianceAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedDisease acceptanceSocial supportTreatment adherenceType 2 diabetes

Identifiers

PMID40186812
PMCPMC12307531

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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.