Psychometric properties of the Insomnia Severity Index in cancer survivors

2019 ◽  
Vol 28 (3) ◽  
pp. 540-546
Author(s):  
Miryam Yusufov ◽  
Eric S. Zhou ◽  
Christopher J. Recklitis
Keyword(s):  
Cancer Survivors ◽  
Psychometric Properties ◽  
Severity Index ◽  
Insomnia Severity Index ◽  
Insomnia Severity

Psychometric properties of the Insomnia Severity Index in Ethiopian adults with substance use problems

2018 ◽  
Vol 19 (2) ◽  
pp. 238-252 ◽  
Author(s):  
Md. Dilshad Manzar ◽  
Mohammed Salahuddin ◽  
Tufail Ahmad Khan ◽  
Showkat Ahmad Shah ◽  
Majed Alamri ◽  
...  
Keyword(s):  
Substance Use ◽  
Psychometric Properties ◽  
Severity Index ◽  
Insomnia Severity Index ◽  
Substance Use Problems ◽  
Insomnia Severity

Factor structure and psychometric properties of the Insomnia Severity Index in Mainland China

2018 ◽  
Vol 46 (2) ◽  
pp. 209-218 ◽  
Author(s):  
Rong-Mao Lin ◽  
Shan-Shan Xie ◽  
Wen-Jing Yan ◽  
You-Wei Yan
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Factor Structure ◽  
Severity Index ◽  
Internal Reliability ◽  
Mainland Chinese ◽  
Insomnia Severity Index ◽  
Multiple Group ◽  
Chinese Undergraduates ◽  
Insomnia Severity

We explored the factor structure and psychometric properties of the Insomnia Severity Index (ISI) using 3 samples totaling 2,066 Mainland Chinese undergraduates. All participants completed the ISI and Sample 2 completed 3 other related measures. Their responses were processed using exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and multiple group analyses. The EFA results revealed a 2-factor structure, whereas the CFA results supported a 3-factor solution, the latter of which was further confirmed by the results of multiple group analyses. The Chinese version of the ISI had a satisfactory Cronbach's alpha coefficient of internal reliability, 2-week test–retest reliability, and criterion validity. Overall, we found that the ISI is a reliable, valid, and psychometrically sound measure of insomnia for use with Mainland Chinese undergraduates.

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

2021 ◽  
Vol 19 (1) ◽  
pp. 225
Author(s):  
Mohammed A. Mamun ◽  
Zainab Alimoradi ◽  
David Gozal ◽  
Md Dilshad Manzar ◽  
Anders Broström ◽  
...  
Keyword(s):  
Mental Health ◽  
Suicidal Ideation ◽  
Psychometric Properties ◽  
Classical Test Theory ◽  
Severity Index ◽  
Test Theory ◽  
Insomnia Severity Index ◽  
Classical Test ◽  
Rasch Analyses ◽  
Insomnia Severity

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.

Psychometric properties of the Sleep Condition Indicator and Insomnia Severity Index in the evaluation of insomnia disorder

2017 ◽  
Vol 33 ◽  
pp. 76-81 ◽  
Author(s):  
Mark Lawrence Wong ◽  
Kristy Nga Ting Lau ◽  
Colin A. Espie ◽  
Annemarie I. Luik ◽  
Simon D. Kyle ◽  
...  
Keyword(s):  
Psychometric Properties ◽  
Severity Index ◽  
Insomnia Severity Index ◽  
Insomnia Disorder ◽  
Sleep Condition ◽  
Condition Indicator ◽  
Insomnia Severity

Psychometric properties of the Insomnia Severity Index in a sample of family dementia caregivers

2021 ◽  
Author(s):  
Lucía Jiménez-Gonzalo ◽  
Rosa Romero-Moreno ◽  
Pedroso-Chaparro María del Sequeros ◽  
Laura Gallego-Alberto ◽  
Samara Barrera-Caballero ◽  
...  
Keyword(s):  
Psychometric Properties ◽  
Severity Index ◽  
Dementia Caregivers ◽  
Insomnia Severity Index ◽  
Insomnia Severity

scholarly journals The Relationship between Fatigue and Actigraphy-Derived Sleep and Rest–Activity Patterns in Cancer Survivors

2021 ◽  
Vol 28 (2) ◽  
pp. 1170-1182
Author(s):  
Tristan Martin ◽  
Rosie Twomey ◽  
Mary E. Medysky ◽  
John Temesi ◽  
S. Nicole Culos-Reed ◽  
...  
Keyword(s):  
Cancer Survivors ◽  
Sleep Onset ◽  
Severity Index ◽  
Objective Measures ◽  
Sleep Onset Latency ◽  
Insomnia Severity Index ◽  
Cancer Related Fatigue ◽  
Activity Cycles ◽  
Insomnia Severity ◽  
Rest Activity

Cancer-related fatigue can continue long after curative cancer treatment. The aim of this study was to investigate sleep and rest–activity cycles in fatigued and non-fatigued cancer survivors. We hypothesized that sleep and rest–activity cycles would be more disturbed in people experiencing clinically-relevant fatigue, and that objective measures of sleep would be associated with the severity of fatigue in cancer survivors. Cancer survivors (n = 87) completed a 14-day wrist actigraphy measurement to estimate their sleep and rest–activity cycles. Fatigue was measured using the Functional Assessment of Chronic Illness Therapy Fatigue Scale (FACIT-F). Participants were dichotomised into two groups using a previously validated score (fatigued n = 51 and non-fatigued n = 36). The participant’s perception of sleep was measured using the Insomnia Severity Index (ISI). FACIT-F score was correlated with wake after sleep onset (r = −0.28; p = 0.010), sleep efficiency (r = 0.26; p = 0.016), sleep onset latency (r = −0.31; p = 0.044) and Insomnia Severity Index (ISI) score (r = −0.56; p < 0.001). The relative amplitude of the rest–activity cycles was lower in the fatigued vs. the non-fatigued group (p = 0.017; d = 0.58). After treatment for cancer, the severity of cancer-related fatigue is correlated with specific objective measures of sleep, and there is evidence of rest–activity cycle disruption in people experiencing clinically-relevant fatigue.

319 Validation of the Insomnia Severity Index Short-Form for Identifying Insomnia Disorder in Young Adult Cancer Survivors

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A128-A128
Author(s):  
Lydia Chevalier ◽  
Alexis Michaud ◽  
Eric Zhou ◽  
Grace Chang ◽  
Christopher Recklitis
Keyword(s):  
Young Adult ◽  
Cancer Survivors ◽  
Sensitivity And Specificity ◽  
Short Form ◽  
A Priori ◽  
Severity Index ◽  
Young Adult Cancer Survivors ◽  
Adult Cancer Survivors ◽  
Young Adult Cancer ◽  
Insomnia Severity

Abstract Introduction Insomnia is a common and impairing late effect experienced by many young adult cancer survivors (YACS). Although routine evaluation of sleep disorders in cancer survivors is recommended, lack of consensus on appropriate screening measures contributes to under-identification and under-treatment of these disorders in YACS. As screening measures are ideally as brief as possible while maintaining validity, we sought to validate the recently published three-item Insomnia Severity Index Short-Form (ISI-SF) in YACS. Methods 250 YACS completed the ISI and the Structured Clinical Interview for the DSM-5 (SCID-5). The ISI-SF was created by summing three ISI items: distress (item #6), interference (item #7), and satisfaction (item #4). In receiver operating characteristic (ROC) analyses, area under the curve (AUC) was calculated to compare discrimination on the ISI-SF to two criteria: the full-scale ISI using a cutoff of ≥8 recently validated in this sample, and the SCID-5 insomnia module. Consistent with previous research, we specified a priori that a cut-off score on the ISI-SF with sensitivity ≥.85 and specificity ≥.75 would be acceptable. Results The ISI-SF had excellent discrimination when compared to the full-scale ISI (AUC = .97) and a cut-off score of ≥4 met criteria with a sensitivity of 97% and specificity of 86%. The ISI-SF had good discrimination when compared to the SCID-5 (AUC = .88), but none of the cut-off scores met a priori criteria for sensitivity and specificity. A cut-off score of ≥4 came closest with a sensitivity of 94% and specificity of 70%. Conclusion Although the ISI-SF did not meet sensitivity and specificity criteria for a stand-alone screening measure when compared to a diagnostic interview, it demonstrated utility as the first step in a two-step screening procedure. Specifically, the high sensitivity of the ≥4 ISI-F cut-off score is well-suited to accurately screening out YACS who do not need insomnia services; as a second screen, the SCID-5 insomnia module could be administered only to those elevated on the ISI-SF in order to identify false positives cases before making referrals for insomnia specialists. Support (if any) National Cancer Institute (1R21CA223832), Swim Across America

scholarly journals Sleep Disturbances in Individuals Quarantined Due to SARS-CoV-2 Pandemic in Poland: A Mixed Methods Design Study

2021 ◽  
Vol 10 ◽  
pp. 216495612110207
Author(s):  
Sabina Krupa ◽  
Witt Paweł ◽  
Wioletta Mędrzycka-Dąbrowska ◽  
Agnieszka Lintowska ◽  
Dorota Ozga
Keyword(s):  
Mixed Methods ◽  
Sleep Disturbances ◽  
Acute Stress ◽  
Sleep Problems ◽  
Severity Index ◽  
Structured Interview ◽  
Mixed Methods Design ◽  
Design Study ◽  
Insomnia Severity Index ◽  
Insomnia Severity

Objectives The study aimed to assess sleep disturbances in patients subjected to home quarantine due to suspected SARS-CoV-2 infection. The study used a mixed methods design study as a research methodology. Methods A semi-structured interview and the scale for Insomnia Severity Index (ISI) were used to achieve the aim of the study. The survey was conducted from 16 to 20 April 2020 and 1 to 2 September 2020 in Poland, at the during of SARS-CoV-2 epidemic in this country. The data were coded and cross-processed. The (COREQ) checklist was followed. Results Interviews with patients and a thorough analysis of recordings revealed commonly used phrases in the following categories: “anxiety”, “ Am I going crazy?”, “Sleep problems”. 10 out of 11 respondents reported sleep disorders of varying severity according to the Insomnia Severity Index scale. Patients presented a fear related to the return to society and normal functioning after quarantine. Additionally, some study participants voiced concerns related to their mental health; some cases of hallucinations were reported. Conclusions Further global population studies should be conducted to analyse this phenomenon. Acute Stress Disorder should be understood as a threat to life and health of an isolated society in quarantine. Further research in this area should be promoted and the need for global guidelines for the entire population should be developed.

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