Evidence map›Paper›PMID 32522209›Full record

ArticleHealth and quality of life outcomes2020

Factor structure and reliability of Persian version of hospital anxiety and depression scale in patients with breast cancer survivors.

Karimollah Hajian-Tilaki, Erfaneh Hajian-Tilaki

Abstract readValidation Study
In one paragraph

Article in Health and quality of life outcomes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

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0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
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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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Exploration of a Machine Learning Model Using Self-rating Questionnaires for Detecting Depression in Patients with Breast Cancer.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2024
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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Karimollah Hajian-TilakiDepartment of Biostatistics and Epidemiology, Babol University of Medical Sciences, Babol, Iran. drhajian@yahoo.com.ORCID http://orcid.org/0000-0001-6187-8050
Erfaneh Hajian-TilakiStudent Research Committee, Rasoul Psychiatric Hospital, Tehran University of Medical Sciences, Tehran, Iran.

Funding

Babol University of Medical Sciences *****
6 · The paper itself

Abstract

introductionAnxiety and depression are significant concerns in breast cancer patients, and it may remain for a long term after primary treatments. The hospital anxiety and depression scale (HADS) is widely used to measure depressive and anxiety symptoms in clinical practices. The purpose of this study was to assess the psychometric properties of the Persian version of this scale in Iranian breast cancer survivors.

methodsA total of 305 patients with breast cancer, refered to Cancer Hospital in northen Iran and completed the primary treatments were enrolled in. All patients responded to a 14-item HADS. We performed confirmatory factor analysis (CFA) to examine the factor structure of HADS and the item-scale analysis in order to estimate the item reliability and consider the Cronbach's alpha as a measure of internal consistency.

resultsWith a threshold of ≥8, the prevalence of anxiety and depression symptoms (moderate/severe) was 78.9 and 66.9%, respectively. The Cronbach's alpha coefficients for anxiety and depression were 0.81 and 0.78, respectively. The CFA confirmed the two-factor structure model for HADS, indicating a good fitting summary indexes (χ2/df = 2.83, NFI = 0.88, RFI = 0.82, IFI = 0.92, CFI = 0.92, and RMSEA = 0.078).

conclusionThe CFA and item reliability analysis have indicated an excellent psychometric property of the Persian version of HADS to measure depressive and anxiety symptoms in breast cancer survivors. Thus, HADS is a useful screening tool to identify post-breast cancer anxiety and depressive disorders.

Indexed as

AdultAnxietyBreast NeoplasmsCancer SurvivorsCross-Sectional StudiesDepressionFemaleHumansIranMiddle AgedQuality of LifeReproducibility of ResultsSurveys and QuestionnairesTranslationsAnxietyBreast cancer survivorDepressionHADSPersianReliabilityValidity

Identifiers

PMID32522209
PMCPMC7288677

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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.