Evidence map›Paper›PMID 41070516›Full record

ArticleTurk psikiyatri dergisi = Turkish journal of psychiatry2025

The Role of Illness Representations and Metacognitive Beliefs in Mood in People with Type 2 Diabetes: A study from the COVID-19 Period.

Didem Acar, Özlem Sertel Berk

Abstract read
In one paragraph

Article in Turk psikiyatri dergisi = Turkish journal of psychiatry, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Didem Acar
Özlem Sertel Berk

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDiabetes poses a significant global health threat due to its increasing prevalence and associated comorbidities, straining healthcare systems worldwide. Depression and anxiety are frequent comorbidities in individuals with diabetes, and their underlying mechanisms have been a subject of research. This study investigated the influence of metacognitions and metacognitions about symptom control (MaSC) on depression and anxiety in people with type 2 diabetes (T2D), specifically examining their effects beyond illness representations.

methodConducted during the COVID-19 pandemic, this study involved 153 T2D patients. Participants completed the Hospital Anxiety and Depression Scale (HADS), Brief Illness Perception Questionnaire (B-IPQ), Metacognitions Questionnaire-30 (MCQ-30), Metacognitions about Symptom Control Scale-Revised (MaSCS-R), and the Protection Motivation Theory Scale for COVID-19 Preventive Behaviors.

resultsHierarchical regression analysis showed that after controlling for socio-demographic variables, fear of COVID-19, and illness representations, negative metacognitions about symptom control predicted 2% of anxiety and 4% of depression; metacognitions predicted 10% of anxiety and 9% of depression.

conclusionMetacognitions predicted both depression and anxiety, supporting the Self-Regulatory Executive Function (S-REF) model. Metacognitive therapy could be an alternative for managing emotional distress in T2D patients and may contribute to future research.

Indexed as

AnxietyCOVID-19DepressionDiabetes Mellitus, Type 2MetacognitionAdultAgedFemaleHumansMaleMiddle AgedSurveys and QuestionnairesAnxietydepressiondiabetesillness representations metacognitions.

Identifiers

PMID41070516
PMCPMC12435342

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Registered trials

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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.