Evidence map›Paper›PMID 35321421›Full record

ArticleSleep disorders2022

Assessment of the Psychometric Properties of the Holland Sleep Disorders Questionnaire in the Iranian Population.

Habibolah Khazaie, Amir Jalali, Reza Mohammadi, Azita Chehri, Amirhossein Khazaie

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In one paragraph

Article in Sleep disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
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2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

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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

5 authors.

Habibolah KhazaieSleep Disorders Research Center, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran.ORCID https://orcid.org/0000-0002-8066-9753
Amir JalaliSubstance Abuse Prevention Research Center, Research Institute for Health, Kermanshah University of Medical Sciences, Iran.ORCID https://orcid.org/0000-0002-0307-879X
Reza MohammadiSleep Disorders Research Center, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran.ORCID https://orcid.org/0000-0002-2256-075X
Azita ChehriDepartment of Psychology, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran.ORCID https://orcid.org/0000-0002-8488-4784
Amirhossein KhazaieSleep Disorders Research Center, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran.ORCID https://orcid.org/0000-0002-2522-4962

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Assessing sleep disorders and understanding their causes are essential for the proper treatment and management of the disorders. The Holland Sleep Disorders Questionnaire (HSDQ) is a self-assessment questionnaire that measures sleep problems and symptoms based on the six categories of sleep disorders described in the International Classification of Sleep Disorders-2 (ICSD-2). The aim of this study was at validating and assessing the psychometric properties of the HSDQ in Iranian adults. Method: The study was carried out as a methodological and validation work. The guidelines for translation and cultural adaptation of patient-reported outcome measures were followed for the translation and the cultural validation of the tool. To examine construct validity, exploratory factor analysis (EFA) with 216 participants and confirmatory factor analysis (CFA) with 355 participants were used. As to the reliability, the test-retest method and, as to internal consistency, Cronbach's alpha were employed. Data analyses were done in SPSS-25 and LISREL-8. Results: The CFA and EFA results confirmed the tool with six factors and 31 items. The Conclusion: In general, the results showed that the Farsi version of HSDQ (six factors and 31 items) had acceptable and applicable indices and it can be used as a valid tool in the Iranian society. The tool can be used as a reliable tool in different fields of medical sciences.

Identifiers

PMID35321421
PMCPMC8938142

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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.