Validating Insomnia Severity Index (ISI) in a Bangladeshi Population

Using Classical Test Theory and Rasch Analysis

Dados Bibliográficos

ID15479217
AutoresMohammed A Mamun (0000-0002-1728-8966, Jahangirnagar University), Zainab Alimoradi (0000-0001-5327-2411, Qazvin University of Medical Sciences), David Gozal (0000-0001-8195-6036, University of Missouri Health System), Dilshad Manzar (0000-0002-5571-3310, Majmaah University), Anders Broström (0000-0003-0820-2769, Linköping University Hospital), Chung-Ying Lin (0000-0002-2129-4242, National Cheng Kung University Hospital, autor correspondente), Ruyi Huang (0000-0001-6867-7171, E-Da Hospital, autor correspondente), Amir H Pakpour (0000-0002-8798-5345, Jönköping University)
Ano2021
Volume19
Fascículo1
Páginas225-225
Data de publicação2021-12-25
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores do periódicoISSN: 1661-7827 • E-ISSN: 1660-4601
EditoraMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph19010225
PMID35010485
OpenAlexW4200040019
IdiomaEN
Citações recebidas4
Referências citadas16

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

Anxiety · Bengali · Developmental psychology · Differential item functioning · Environmental health · Injury prevention · Item response theory · Patient Health Questionnaire · Poison control · Population · Psychiatry · Psychometrics · Rasch model · Suicidal ideation · Clinical Psychology · COVID-19 and Mental Health · Long-Term Effects of COVID-19 · Medicine · Psychology · Sleep and related disorders · Artificial Intelligence