Evidence map›Paper›PMID 35010485›Full record

ArticleInternational journal of environmental research and public health2021

Validating Insomnia Severity Index (ISI) in a Bangladeshi Population: Using Classical Test Theory and Rasch Analysis.

Mohammed A Mamun, Zainab Alimoradi, David Gozal, Md Dilshad Manzar, Anders Broström, Chung-Ying Lin, Ru-Yi Huang, Amir H Pakpour

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

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3 · Its place in the literature

Who cites it

17 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

8 authors.

Mohammed A MamunCHINTA Research Bangladesh, Savar, Dhaka 1342, Bangladesh.ORCID 0000-0002-1728-8966
Zainab AlimoradiSocial Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Shahid Bahonar Blvd, Qazvin 3419759811, Iran.ORCID 0000-0001-5327-2411
David GozalDepartment of Child Health and the Child Health Research Institute, The University of Missouri School of Medicine, Columbia, MO 65201, USA.ORCID 0000-0001-8195-6036
Md Dilshad ManzarDepartment of Nursing, College of Applied Medical Sciences, Majmaah University, Majmaah 11952, Saudi Arabia.ORCID 0000-0002-5571-3310
Anders BroströmSchool of Health and Welfare, Jönköping University, P.O. Box 1026, SE-55111 Jonkoping, Sweden.
Chung-Ying LinInstitute of Allied Health Sciences, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 701401, Taiwan.ORCID 0000-0002-2129-4242
Ru-Yi HuangDepartment of Family and Community Medicine, E-DA Hospital, Kaohsiung 82445, Taiwan.ORCID 0000-0001-6867-7171
Amir H PakpourSchool of Health and Welfare, Jönköping University, P.O. Box 1026, SE-55111 Jonkoping, Sweden.ORCID 0000-0002-8798-5345

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 outbreak is associated with sleep problems and mental health issues among individuals. Therefore, there is a need to assess sleep efficiency during this tough period. Unfortunately, the commonly used instrument on insomnia severity-the Insomnia Severity Index (ISI)-has never been translated and validated among Bangladeshis. Additionally, the ISI has never been validated during a major protracted disaster (such as the COVID-19 outbreak) when individuals encounter mental health problems. The present study aimed to translate the ISI into Bangla language (ISI-Bangla) and validate its psychometric properties. First, the linguistic validity of the ISI-Bangla was established. Then, 9790 Bangladeshis (mean age = 26.7 years; SD = 8.5; 5489 [56.1%] males) completed the Bangla versions of the following questionnaires: ISI, Fear of COVID-19 Scale (FCV-19S), and Patient Health Questionnaire-9 (PHQ-9). All the participants also answered an item on suicidal ideation. Classical test theory and Rasch analyses were conducted to evaluate the psychometric properties of the ISI-Bangla. Both classical test theory and Rasch analyses support a one-factor structure for the ISI-Bangla. Moreover, no substantial differential item functioning was observed across different subgroups (gender, depression status (determined using PHQ-9), and suicidal ideation). Additionally, concurrent validity of the ISI-Bangla was supported by significant and moderate correlations with FCV-19S and PHQ-9; known-group validity was established by the significant difference of the ISI-Bangla scores between participants who experienced suicidal ideation and those without. The present psychometric validation conducted during the COVID-19 outbreak suggests that the ISI-Bangla is a promising and operationally adequate instrument to assess insomnia in Bangladeshis.

Indexed as

COVID-19Sleep Initiation and Maintenance DisordersAdultHumansMalePsychometricsReproducibility of ResultsSARS-CoV-2BangladeshCOVID-19insomniapsychological distresspsychometric testing

Identifiers

PMID35010485
PMCPMC8750940

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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.