Literature DB >> 31328319

A thorough psychometric comparison between Athens Insomnia Scale and Insomnia Severity Index among patients with advanced cancer.

Chung-Ying Lin1, Andy S K Cheng1, Babak Nejati2, Vida Imani3, Martin Ulander4,5, Maria Browall6, Mark D Griffiths7, Anders Broström5,6, Amir H Pakpour6,8.   

Abstract

For patients with cancer, sleep disturbance is commonplace. Using classical test theory and Rasch analyses, the present study compared two commonly used psychometric instruments for insomnia - Athens Insomnia Scale and Insomnia Severity Index - among patients with advanced cancer. Through convenience sampling, patients with cancer at stage III or IV (n = 573; 326 males; mean age = 61.3 years; SD = 10.7) from eight oncology units of university hospitals in Iran participated in the study. All the participants completed the Athens Insomnia Scale, Insomnia Severity Index, Edmonton Symptom Assessment Scale, Hospital Anxiety and Depression Scale, General Health Questionnaire-12, Epworth Sleepiness Scale and Pittsburgh Sleep Quality Index. Additionally, 433 participants wore an Actigraph device for two continuous weekdays. Classical test theory and Rasch analysis both supported the construct validity for Athens Insomnia Scale (factor loadings from confirmatory factor analysis = 0.61-0.87; test-retest reliability = 0.72-0.82; infit mean square = 0.81-1.17; outfit MnSq = 0.79-1.14) and for Insomnia Severity Index (factor loadings from confirmatory factor analysis = 0.61-0.81; test-retest reliability = 0.72-0.82; infit mean square = 0.72-1.14; outfit mean square = 0.76-1.11). Both Athens Insomnia Scale and Insomnia Severity Index had significant associations with Edmonton Symptom Assessment Scale, Hospital Anxiety and Depression Scale, General Health Questionnaire-12, Epworth Sleepiness Scale and Pittsburgh Sleep Quality Index, as well as having good sensitivity and specificity. Significant differences in the actigraphy measure were found between insomniacs and non-insomniacs based on Athens Insomnia Scale or Insomnia Severity Index score. With promising results, healthcare providers can use either Athens Insomnia Scale or Insomnia Severity Index to understand the insomnia of patients with advanced cancer.
© 2019 European Sleep Research Society.

Entities:  

Keywords:  Rasch analysis; confirmatory factor analysis; insomnia; oncology; psychometrics; sleep disorders

Year:  2019        PMID: 31328319     DOI: 10.1111/jsr.12891

Source DB:  PubMed          Journal:  J Sleep Res        ISSN: 0962-1105            Impact factor:   3.981


  13 in total

1.  Application of Chain Nursing Process in the Nursing of Elderly Inpatients with Implantable Venous Infusion Port.

Authors:  Juan Hu; Li Zhou; Juanying Ding
Journal:  Emerg Med Int       Date:  2022-06-16       Impact factor: 1.621

2.  Prevalence of Sleep Disturbance in Patients With Cancer: A Systematic Review and Meta-Analysis.

Authors:  Mohammed Al Maqbali; Mohammed Al Sinani; Ahmad Alsayed; Alexander M Gleason
Journal:  Clin Nurs Res       Date:  2022-04-28       Impact factor: 1.724

3.  Psychometric Validation of the Athens Insomnia Scale Among Nurses: A Robust Approach Using Both Classical Theory and Rating Scale Model Parameters.

Authors:  Md Dilshad Manzar; Abdulrhman Albougami; Hamid Yimam Hassen; Mohamed Yacin Sikkandar; Seithikurippu R Pandi-Perumal; Ahmed S Bahammam
Journal:  Nat Sci Sleep       Date:  2022-04-20

4.  Investigating mediated effects of fear of COVID-19 and COVID-19 misunderstanding in the association between problematic social media use, psychological distress, and insomnia.

Authors:  Chung-Ying Lin; Anders Broström; Mark D Griffiths; Amir H Pakpour
Journal:  Internet Interv       Date:  2020-08-27

5.  Measuring Subjective Sleep Quality: A Review.

Authors:  Marco Fabbri; Alessia Beracci; Monica Martoni; Debora Meneo; Lorenzo Tonetti; Vincenzo Natale
Journal:  Int J Environ Res Public Health       Date:  2021-01-26       Impact factor: 3.390

6.  The Predictive Relationship of Health Related Quality of Life on Objectively-Measured Sleep in Children: A Comparison Across BMI Ranges.

Authors:  Yi-Ching Lin
Journal:  Front Neurosci       Date:  2019-09-26       Impact factor: 4.677

7.  Internet gaming disorder, psychological distress, and insomnia in adolescent students and their siblings: An actor-partner interdependence model approach.

Authors:  Chung-Ying Lin; Mac N Potenza; Anders Broström; Amir H Pakpour
Journal:  Addict Behav Rep       Date:  2020-12-29

8.  A mediating role for mental health in associations between COVID-19-related self-stigma, PTSD, quality of life, and insomnia among patients recovered from COVID-19.

Authors:  Hosein Mahmoudi; Mohsen Saffari; Mahmoud Movahedi; Hormoz Sanaeinasab; Hojat Rashidi-Jahan; Morteza Pourgholami; Ali Poorebrahim; Jalal Barshan; Milad Ghiami; Saman Khoshmanesh; Marc N Potenza; Chung-Ying Lin; Amir H Pakpour
Journal:  Brain Behav       Date:  2021-04-03       Impact factor: 2.708

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

Authors:  Mohammed A Mamun; Zainab Alimoradi; David Gozal; Md Dilshad Manzar; Anders Broström; Chung-Ying Lin; Ru-Yi Huang; Amir H Pakpour
Journal:  Int J Environ Res Public Health       Date:  2021-12-25       Impact factor: 3.390

10.  Suicidal Ideation during the COVID-19 Pandemic among A Large-Scale Iranian Sample: The Roles of Generalized Trust, Insomnia, and Fear of COVID-19.

Authors:  Chung-Ying Lin; Zainab Alimoradi; Narges Ehsani; Maurice M Ohayon; Shun-Hua Chen; Mark D Griffiths; Amir H Pakpour
Journal:  Healthcare (Basel)       Date:  2022-01-04
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