The circadian rhythm is a 24-hour internal oscillation regulated by the suprachiasmatic nucleus in the hypothalamus (Danielsson et al. 2019). It controls sleep patterns, body temperature, hormonal ...

Heroin,substance abuse,caregiver burden,coping skills,family relationships

: Our objective was to obtain an initial prevalence estimate of post-COVID-19 fatigue in Turkey and identify psychological and sociodemographic risk factors associated with post-COVID-19 fatigue.: ...

Purpose: We aimed to adapt the Turkish Sleep Condition Indicator (SCI) version and examine its psychometric properties among the general population. Methods: This study was a cross-sectional study. The item-total correlation, standard error of measurement, Cronbach’s α, and McDonald’s ω were used for internal consistency. We ran confirmatory factor analysis (CFA) and network analysis to confirm the factor structure. Multigroup CFA was run to assess the measurement invariance across gender, whether clinical insomnia or not, and poor sleep quality. We correlated SCI scores with Insomnia Severity Index (ISI) and Pittsburgh Sleep Quality Index (PSQI) scores to evaluate construct validity. A receiver operating characteristic (ROC) curve analysis was conducted to calculate the cut-off score of the SCI. The temporal stability was examined with the intraclass correlation coefficient. Results: Eight hundred thirty-four participants attended. Over half of the participants were women (63.2% n = 527); the mean age was 36.15 ± 9.64. Confirmatory factor and network analysis results show that the two-factor correlated model had a good model fit for the SCI. The SCI had scalar level invariance across gender, having clinical insomnia and poor sleep quality in the Multigroup CFA. ROC curve analysis shows that the SCI has good sensitivity (90.3%) and specificity (91.8%) for cut-off ≤ 15. The intraclass correlation coefficient computed between the first and second SCI total scores was significant (r=0.80 with a 95% confidence interval from 0.78 to 0.87; p < 0.001). Conclusion: The Turkish SCI is a practical self-reported insomnia scale with good psychometric properties that can be used to screen for insomnia disorder.

Introduction: Insomnia is the most common sleep problem among adults with attention deficit hyperactivity disorder (ADHD). The severity of insomnia can exacerbate the symptoms of ADHD. Identifying the predictive factors that contribute to insomnia severity may be crucial in treating insomnia among adults with ADHD. One potential factor contributing to insomnia is sleep reactivity, which refers to the tendency to experience insomnia triggered by stress. This phenomenon, also known as vulnerability to stress-related insomnia, reflects the extent to which individuals are prone to developing insomnia in response to stressful situations. To date, sleep reactivity in adults with ADHD has not been studied. This study aimed to investigate the relationship between sleep reactivity, attention deficit hyperactivity symptoms, and the severity of insomnia in adults with ADHD.Methods: This study included 61 adults with ADHD with no comorbid psychiatric or medical diseases and 61 adult healthy controls (HCs) matched for age, sex, body mass index, and years of education. All participants completed the sociodemographic data form, Ford Insomnia Response to Stress Test (FIRST), Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), Adult ADHD Self-Report Scale (ASRS), and Wender Utah Rating Scale (WURS).Results: Sleep reactivity, insomnia severity, and poor sleep quality were higher in adults with ADHD compared to HCs. Higher sleep reactivity was associated with worse sleep outcomes in both groups, whereas higher sleep reactivity was associated with severe ADHD symptoms in the HCs group. In the ADHD group, insomnia severity was predicted by higher sleep reactivity, ASRS, and being female (R² = 0.32, F (6, 61) = 4.36, p = 0.001), not age, ADHD medication use, and WURS.Conclusion: Our findings suggest that higher sleep reactivity, increased ADHD symptoms, and being female may predict the severity of insomnia in adults with ADHD.