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

Manzar, Dilshad; Salahuddin, Mohammed; Khan, Tufail A.; Shah, Showkat Ahmad; Alamri, Majed; Pandi-Perumal, Seithikurippu R.; BaHammam, Ahmed S.

doi:10.1080/15332640.2018.1494658

Cited by 15 publications

(16 citation statements)

References 30 publications

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“…This could be due to the fact that khat chewing causes sleep disturbance [33] as a result, chewers would use alcohol for better sleep. However, different studies showed concurrent use of khat, cigarette, and alcohol would result in sleep deprivation [32,34,35]. Therefore, giving due attention is needed to minimize the concurrent effect of khat, alcohol, and cigarette smoking.…”

Section: Discussionmentioning

confidence: 99%

“…This study has a significant implication for the public and policymakers. Khat chewing in the community could affect social life [24], the economy [27], and result in poor health outcomes [35][36][37][38]. Currently, in Ethiopia farmers in the rural area are expanding the cultivation of khat and the landmass covered by cereals and fruits is decreasing from time to time.…”

Section: Discussionmentioning

confidence: 99%

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Factors affecting current khat chewing among male adults 15–59 years in Ethiopia, 2016: a multi-level analysis from Ethiopian Demographic Health Survey

et al. 2020

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Background: Regular khat chewing causes gingivitis, tooth loss, gastric disorders, cardiac complications, male impotence, sleeplessness, and several mental health problems. Based on the Ethiopian Demographic and Health Survey (EDHS) 2016, 12% of women and 27% of men have reported having ever chewed khat. Even though khat addiction is a major public health problem, studies that consider both individual level and community level factors are limited. Therefore, this study aimed to determine the prevalence and factors affecting current khat chewing among male adults in Ethiopia. Methods: Data from EDHS, a community-based cross-sectional study conducted from January 18, 2016, to June 27, 2016, was used. A multistage stratified cluster sampling technique was used to select participants. Both descriptive and analytical statistics were done. Bi-variable and multivariable multilevel logistic regression analyses were performed to determine factors affecting current khat chewing. Adjusted Odds ratio (AOR) with 95% Confidence Interval (CI) for variables with P-value < 0.05 was used as a measure of association.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Factors affecting current khat chewing among male adults 15–59 years in Ethiopia, 2016: a multi-level analysis from Ethiopian Demographic Health Survey

et al. 2020

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“…It should be noted that Dragioti et al [54] proposed a four-item version (items 2, 4, 5, 7), especially for patients with chronic pain. However, three studies reported the 2-factor solution [58][59][60] (Severity of sleeping difficulties with items 1-4 or alternatively items 1a, 1b, 1c, and 2; Impact of insomnia with items 5-7 or, alternatively, items 3-5). This solution generally explained 61.80% of variance with mean factor loadings ranging from 0.50 to 0.90 for both factors and mean inter-factor correlation of 0.50 (Table 2).…”

Section: The Sleep-disorder Scalesmentioning

confidence: 99%

Measuring Subjective Sleep Quality: A Review

Fabbri

Beracci

Martoni

et al. 2021

IJERPH

256

151

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Sleep quality is an important clinical construct since it is increasingly common for people to complain about poor sleep quality and its impact on daytime functioning. Moreover, poor sleep quality can be an important symptom of many sleep and medical disorders. However, objective measures of sleep quality, such as polysomnography, are not readily available to most clinicians in their daily routine, and are expensive, time-consuming, and impractical for epidemiological and research studies., Several self-report questionnaires have, however, been developed. The present review aims to address their psychometric properties, construct validity, and factorial structure while presenting, comparing, and discussing the measurement properties of these sleep quality questionnaires. A systematic literature search, from 2008 to 2020, was performed using the electronic databases PubMed and Scopus, with predefined search terms. In total, 49 articles were analyzed from the 5734 articles found. The psychometric properties and factor structure of the following are reported: Pittsburgh Sleep Quality Index (PSQI), Athens Insomnia Scale (AIS), Insomnia Severity Index (ISI), Mini-Sleep Questionnaire (MSQ), Jenkins Sleep Scale (JSS), Leeds Sleep Evaluation Questionnaire (LSEQ), SLEEP-50 Questionnaire, and Epworth Sleepiness Scale (ESS). As the most frequently used subjective measurement of sleep quality, the PSQI reported good internal reliability and validity; however, different factorial structures were found in a variety of samples, casting doubt on the usefulness of total score in detecting poor and good sleepers. The sleep disorder scales (AIS, ISI, MSQ, JSS, LSEQ and SLEEP-50) reported good psychometric properties; nevertheless, AIS and ISI reported a variety of factorial models whereas LSEQ and SLEEP-50 appeared to be less useful for epidemiological and research settings due to the length of the questionnaires and their scoring. The MSQ and JSS seemed to be inexpensive and easy to administer, complete, and score, but further validation studies are needed. Finally, the ESS had good internal consistency and construct validity, while the main challenges were in its factorial structure, known-group difference and estimation of reliable cut-offs. Overall, the self-report questionnaires assessing sleep quality from different perspectives have good psychometric properties, with high internal consistency and test-retest reliability, as well as convergent/divergent validity with sleep, psychological, and socio-demographic variables. However, a clear definition of the factor model underlying the tools is recommended and reliable cut-off values should be indicated in order for clinicians to discriminate poor and good sleepers.

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“…Insomnia was measured using ISI, which is a seven-item selfreport questionnaire evaluating the nature, severity, and impact of insomnia. The scores range from normal (0-7), sub-threshold (8)(9)(10)(11)(12)(13)(14), moderate (15)(16)(17)(18)(19)(20)(21), to severe (22 and above) (22). The psychological distress of COVID-19 was measured using the IES-R, which contains 22-items.…”

Section: Data Collection Tools and Proceduresmentioning

confidence: 99%

Psychological Distress, Early Behavioral Response, and Perception Toward the COVID-19 Pandemic Among Health Care Workers in North Shoa Zone, Oromiya Region

Jemal¹,

Deriba²,

Geleta³

2021

Front. Psychiatry

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Background: The coronavirus disease 2019 (COVID-19) pandemic has had a significant psychological impact on health care workers (HCWs). Therefore, this study inspects the mental health status, behavioral response, and perception among HCWs (nurses, physicians, and medical laboratory workers) during the COVID-19 pandemic in public health care facilities.Methods: A facilities-based cross-sectional study was conducted in July 2020. A simple random sampling technique was used to select study participants. Data were collected by self-report administered questionnaires using Patient Health Questionnaire-9 (PHQ-9) for depression, General Anxiety Disorder-7 (GAD-7) for anxiety, Insomnia Severity Index (ISI) for insomnia, Impact of Event Scale-Revised (IES-R) for psychological distress, Perceived Threat Scale for perception, and Behavioral Response Inquiry for the behavioral response. Moreover, bivariable and multivariable logistic regressions analysis was used to identify the association between dependent and independent variables at p-value <0.05.Results: A total of 417 (98.6%) HCWs responded to a self-administered questionnaire. The proportion of HCWs who had moderate to severe symptoms of psychological distress, depression, anxiety, and insomnia during the COVID-19 pandemic were 58, 16.3, 30.7, and 15.9%, respectively. Three-fifth of the nurses, medical laboratory professionals (62.2%), and physicians (59.2%) had reported good behavioral responses toward the COVID-19 pandemic. More than three-fifths of the nurses had reported poor perception toward the COVID-19 pandemic. Conversely, 61.2% of physicians and three-fourths (75.5%) of medical laboratory professionals had reported good perception toward the COVID-19 pandemic. Female and married participants, those working in the emergency unit, those with poor behavioral responses, and those with poor perception toward the COVID-19 pandemic were significantly associated with symptoms of psychological distress, depression, anxiety, and insomnia.Conclusions: Psychological impacts among physicians, nurses, and medical laboratory professionals are high during the COVID-19 pandemic. The Ethiopian Federal Ministry of Health should aim to protect all HCWs' psychological well-being during the COVID-19 pandemic with appropriate interventions and accurate information response.

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

Cited by 15 publications

References 30 publications

Factors affecting current khat chewing among male adults 15–59 years in Ethiopia, 2016: a multi-level analysis from Ethiopian Demographic Health Survey

Factors affecting current khat chewing among male adults 15–59 years in Ethiopia, 2016: a multi-level analysis from Ethiopian Demographic Health Survey

Measuring Subjective Sleep Quality: A Review

Psychological Distress, Early Behavioral Response, and Perception Toward the COVID-19 Pandemic Among Health Care Workers in North Shoa Zone, Oromiya Region

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