Evidence map›Paper›PMID 38765231›Full record

ArticlePsychiatry and clinical psychopharmacology2021

Evaluating Factors Related to Health Anxiety in COVID-19 Patients.

Oğuzhan Kılınçel, Ezgi Tan, Feray Tarımtay Altun, Özgecan Nuryüz, Elif Kurtuluş, Şenay Kılınçel, Esra Yazıcı, Muhammed Ayaz

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In one paragraph

Article in Psychiatry and clinical psychopharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Oğuzhan KılınçelDepartment of Child Development, İstanbul Gelişim University, Istanbul, Turkey.ORCID 0000-0003-2988-4631
Ezgi TanDepartment of Psychology, Istanbul Ticaret University, Istanbul, Turkey.ORCID 0000-0002-3548-4063
Feray Tarımtay AltunDepartment of Clinical Psychology, Hamidiye Institute of Health Sciences, University of Health Sciences, Istanbul, Turkey.ORCID 0000-0003-3726-8169
Özgecan NuryüzOdda Psychology, Istanbul, Turkey.ORCID 0000-0002-4753-8823
Elif KurtuluşOdda Psychology, Istanbul, Turkey.ORCID 0000-0001-7555-2852
Şenay KılınçelDepartment of Psychology, Uskudar University, Istanbul, Turkey.ORCID 0000-0001-5298-0264
Esra YazıcıDepartment of Child Development, Istanbul Gelisim University, Istanbul, Turkey.ORCID 0000-0002-2575-7398
Muhammed AyazOdda Psychology, Istanbul, Turkey.ORCID 0000-0002-9715-3809

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The COVID-19 outbreak affects both the physical and mental health of individuals and society. This study investigates the factors related to health anxiety in COVID-19 patients and explores their sociodemographic-, disease-, and treatment-related factors, trait anxiety, and characteristics of secure or insecure attachment. Methods: The sample consisted of 420 individuals aged 18-65 years and diagnosed with COVID-19 between March 15 and May 15, 2020. The participants completed a sociodemographic data form and the Health Anxiety Inventory (HAI), Adult Attachment Scale (AAS), and State-Trait Anxiety Inventory (STAI). Results: Hierarchical regression analysis revealed that female gender, presence of chronic physical diseases, presence of mental health problems, and high AAS insecure attachment scores significantly predicted high HAI scores. Moreover, results indicated that the model explained approximately 21% of variance in HAI scores. Conclusions: Factors such as gender, presence of chronic physical diseases, presence of mental health problems, and attachment style influence health anxiety. Determining the appropriate factors that cause health anxiety can contribute to the implementation of protective measures for mental health and to the application of effective interventions for individuals who develop mental problems.

Indexed as

AttachmentCOVID-19health anxiety

Identifiers

PMID38765231
PMCPMC11079650

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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.