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

Author

Listed:
  • Mohammed A. Mamun

    (CHINTA Research Bangladesh, Savar, Dhaka 1342, Bangladesh
    Department of Public Health and Informatics, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh)

  • Zainab Alimoradi

    (Social Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Shahid Bahonar Blvd, Qazvin 3419759811, Iran)

  • David Gozal

    (Department of Child Health and the Child Health Research Institute, The University of Missouri School of Medicine, Columbia, MO 65201, USA)

  • Md Dilshad Manzar

    (Department of Nursing, College of Applied Medical Sciences, Majmaah University, Majmaah 11952, Saudi Arabia)

  • Anders Broström

    (School of Health and Welfare, Jönköping University, P.O. Box 1026, SE-55111 Jonkoping, Sweden
    Department of Clinical Neurophysiology, Linköping University Hospital, SE-58183 Linkoping, Sweden)

  • Chung-Ying Lin

    (Institute of Allied Health Sciences, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 701401, Taiwan
    Biostatistics Consulting Center, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 701401, Taiwan
    Department of Occupational Therapy, College of Medicine, National Cheng Kung University, Tainan 701401, Taiwan)

  • Ru-Yi Huang

    (Department of Family and Community Medicine, E-DA Hospital, Kaohsiung 82445, Taiwan
    School of Medicine for International Students, College of Medicine, I-Shou University, Kaohsiung 82445, Taiwan)

  • Amir H. Pakpour

    (School of Health and Welfare, Jönköping University, P.O. Box 1026, SE-55111 Jonkoping, Sweden)

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.

Suggested Citation

  • Mohammed A. Mamun & Zainab Alimoradi & David Gozal & Md Dilshad Manzar & Anders Broström & Chung-Ying Lin & Ru-Yi Huang & Amir H. Pakpour, 2021. "Validating Insomnia Severity Index (ISI) in a Bangladeshi Population: Using Classical Test Theory and Rasch Analysis," IJERPH, MDPI, vol. 19(1), pages 1-10, December.
    • Handle: RePEc:gam:jijerp:v:19:y:2021:i:1:p:225-:d:711290
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    References listed on IDEAS

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    2. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
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