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Träfflista för sökning "WFRF:(Ohayon M. M.) srt2:(2020)"

Sökning: WFRF:(Ohayon M. M.) > (2020)

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1.
  • Lin, C. -Y, et al. (författare)
  • Advanced psychometric testing on a clinical screening tool to evaluate insomnia : sleep condition indicator in patients with advanced cancer
  • 2020
  • Ingår i: Sleep and Biological Rhythms. - : Springer. - 1446-9235 .- 1479-8425. ; 18, s. 343-349
  • Tidskriftsartikel (refereegranskat)abstract
    • Purpose: To examine the psychometric properties of the Sleep Condition Indicator (SCI) using different psychometric approaches [including classical test theory, Rasch models, and receiver operating characteristics (ROC) curve] among patients with advanced cancer.Methods: Through convenience sampling, patients with cancer at stage III or IV (n = 859; 511 males; mean ± SD age = 67.4 ± 7.5 years) were recruited from several oncology units of university hospitals in Iran. All the participants completed the SCI, Insomnia Severity Index (ISI), Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), Hospital Anxiety and Depression Scale (HADS), General Health Questionnaire (GHQ), and Edmonton Symptom Assessment Scale (ESAS). In addition, 491 participants wore an actigraph device to capture objective sleep.Results: Classical test theory [factor loadings from confirmatory factor analysis = 0.76–0.89; test–retest reliability = 0.80–0.93] and Rasch analysis [infit mean square (MnSq) = 0.63–1.31; outfit MnSq = 0.61–1.23] both support the construct validity of the SCI. The SCI had significant associations with ISI, PSQI, ESS, HADS, GHQ, and ESAS. In addition, the SCI has satisfactory area under ROC curve (0.92) when comparing a gold standard of insomnia diagnosis. Significant differences in the actigraphy measure were found between insomniacs and non-insomniacs based on the SCI score defined by ROC.Conclusion: With the promising psychometric properties shown in the SCI, healthcare providers can use this simple assessment tool to target the patients with advanced cancer who are at risk of insomnia and subsequently provide personalized care efficiently.
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2.
  • Rajabi Majd, N., et al. (författare)
  • Efficacy of a Theory-Based Cognitive Behavioral Technique App-Based Intervention for Patients With Insomnia : Randomized Controlled Trial
  • 2020
  • Ingår i: Journal of Medical Internet Research. - Toronto, ON, Canada : JMIR publications. - 1438-8871. ; 22:4
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND: Sleep hygiene is important for maintaining good sleep and reducing insomnia. OBJECTIVE: This study examined the long-term efficacy of a theory-based app (including cognitive behavioral therapy [CBT], theory of planned behavior [TPB], health action process approach [HAPA], and control theory [CT]) on sleep hygiene among insomnia patients. METHODS: The study was a 2-arm single-blind parallel-group randomized controlled trial (RCT). Insomnia patients were randomly assigned to a treatment group that used an app for 6 weeks (ie, CBT for insomnia [CBT-I], n=156) or a control group that received only patient education (PE, n=156) through the app. Outcomes were assessed at baseline and 1 month, 3 months, and 6 months postintervention. Primary outcomes were sleep hygiene, insomnia, and sleep quality. Secondary outcomes included attitudes toward sleep hygiene behavior, perceived behavioral control, behavioral intention, action and coping planning, self-monitoring, behavioral automaticity, and anxiety and depression. Linear mixed models were used to evaluate the magnitude of changes in outcomes between the two groups and across time. RESULTS: Sleep hygiene was improved in the CBT-I group compared with the PE group (P=.02 at 1 month, P=.04 at 3 months, and P=.02 at 6 months) as were sleep quality and severity of insomnia. Mediation analyses suggested that perceived behavioral control on sleep hygiene as specified by TPB along with self-regulatory processes from HAPA and CT mediated the effect of the intervention on outcomes. CONCLUSIONS: Health care providers might consider using a CBT-I app to improve sleep among insomnia patients. TRIAL REGISTRATION: ClinicalTrials.gov NCT03605732; https://clinicaltrials.gov/ct2/show/NCT03605732. 
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