Baseline symptoms of depression and anxiety negatively impact the effectiveness of CBTi in treating acute insomnia among young adults.

Background: Cognitive-behavioural therapy for insomnia (CBTi) is the first-line treatment for those with this sleep disorder. However, depressive and anxiety symptoms often co-occur with acute insomnia, which may affect the effectiveness of CBTi treatment. Aims: This study aimed to determine the impact of depressive and anxiety symptoms on the efficacy of CBTi in treating acute insomnia. Methods: A single-arm clinical trial was conducted among individuals who have acute insomnia. Participants underwent self-guided CBTi for 1-week. Their insomnia, depressive symptoms and anxiety symptoms were evaluated using the Insomnia Severity Index and the Hospital Anxiety and Depression Scale at baseline, post-treatment and 3-month follow-up. Repeated measures analysis of variance was used to assess the effectiveness of CBTi in treating insomnia, depressive symptoms and anxiety symptoms. A multivariate Cox regression model was used to determine the impact of depressive and anxiety symptoms on insomnia. Results: The study found significant reductions in insomnia, depressive symptoms and anxiety symptoms at both post-treatment and 3-month follow-up (F=17.45, p<0.001; F=36.37, p=0.001; and F=81.51, p<0.001, respectively). The duration of CBTi treatment had a positive impact on insomnia recovery (hazard ratio (HR)=0.94, p=0.018). However, baseline depressive symptoms (HR=1.83, p=0.004) and baseline anxiety symptoms (HR=1.99, p=0.001) had significant negative effects on insomnia recovery. Conclusions: The study showed that a 1-week self-guided CBTi treatment is effective in treating acute insomnia and comorbid depressive and anxiety symptoms. However, baseline depressive and anxiety symptoms negatively impact treatment effectiveness. Therefore, clinicians should assess for depressive and anxiety symptoms before treating acute insomnia with monotherapy CBTi.

The associations among the stress symptoms, depressive symptoms, anxiety symptoms and insomnia symptoms in depressed patients after the first COVID-19 outbreak was initially controlled in China: A prospective cohort study.

BACKGROUND: Depressed patients suffered from severe psychological distress even after the first COVID-19 outbreak was initially controlled. The longitudinal changes and associations among stress and other psychological problems during this period remained unknown. In this study we investigated stress symptoms and the longitudinal impact of stress symptoms on other psychological symptoms in depressed patients after the first COVID-19 outbreak was initially controlled. METHODS: A total of 5241 depressed patients at the outpatients of 56 hospitals across mainland China were recruited from May 18 to June 18, 2020. Five months later, 2113 of them responded again. Demographic characteristics were collected and psychological symptoms were evaluated at baseline and the follow-up. The longitudinal associations between stress symptoms at baseline and the changes of other psychological problems were assessed using Poisson regression. RESULTS: The prevalence of stress symptoms, depressive symptoms, anxiety symptoms and insomnia symptoms declined over time. Having stress symptoms at baseline was positively associated with the new occurrences of depressive symptoms, anxiety symptoms and insomnia symptoms (range, adjusted RRs 1.69-1.81). LIMITATIONS: The sampling method and the high dropout rate are the major limitations. Additionally, the mental conditions of the participants were not obtained, which may lead to unavoidable bias. CONCLUSIONS: The prevalence of stress symptoms declined over time after the first COVID-19 outbreak was initially controlled. We found that having stress symptoms at baseline was a predictor for the new occurrences of depressive symptoms, anxiety symptoms and insomnia symptoms.

[Validity and reliability of the Chinese version of Mobile Phone Involvement Questionnaire in college students].

OBJECTIVE: To test the validity and reliability of the Chinese version of Mobile Phone Involvement Questionnaire (MPIQ) in college students. METHODS: We assessed the degree of phone dependence using the MPIQ among 2122 college students. One month later, 60 students were randomly selected for assessment with the MPIQ, and the ROC curve was generated to evaluate the true positive rate (sensitivity) and false positive rate at different cutoff values to determine the optimal cutoff score of the MPIQ. RESULTS: Among 98.9% of the participants who finished all the items, their MPIQ scores show a positive skew distribution and a one-factor structure. The load scores of the items ranged from 0.54 to 0.77. The Cronbach's α coefficient and the Spearman Brown split reliability were 0.84 and 0.83, respectively, the correlation coefficients between the items and total score ranged from 0.54 to 0.76, and the test-retest reliability was 0.48 (P < 0.001). At the optimal cut-off score of 32, the sensitivity and the specificity of the MPIQ were 0.634 and 0.652, respectively. CONCLUSIONS: At the optimal cut-off score of 32, the MPIQ has good validity and reliability for assessing phone dependence among college students.

[Association of mobile phone overuse with sleep disorder and unhealthy eating behaviors in college students of a medical university in Guangzhou].

OBJECTIVE: To investigate the association of mobile phone use with sleep disorder and unhealthy eating behavior among college students of a medical university in Guangzhou. METHODS: Mobile Phone Involvement Questionnaire (MPIQ), Pittsburgh Sleep Quality Index (PSQI) and the Three Factor Eating Questionnaire Revised 21 Item (TFEQ-R21) were used to survey 2122 undergraduates of the medical university. One-sample t test, One-way ANOVA and multiple linear regression analysis were used to analyze the data. RESULTS: Age, body mass index (BMI), phone use before sleep, phone use frequency, sleep quality (assessed by total PSQI score) and the dimension scores of TFEQ-R21 for uncontrolled eating, cognitive restraint, and emotional eating were all significantly correlated with the total score of MPIQ (P < 0.05). Phone use before sleep, high frequency of mobile phone use, poor sleep quality and emotional eating were associated with high MPIQ scores, while lower cognitive restraint and emotional eating tendency were correlated with lower scores of MPIQ. Bivariate analysis revealed that age (r=0.088, P < 0.001), BMI (r=0.055, P < 0.05), PSQI scores (r=0.204, P < 0.001), TFEQ-UE scores (r=0.199, P < 0.001), TFEQ-CR scores (r=-0.076, P < 0.001), TFEQ-EE scores (r=0.170, P < 0.001), phone use before sleep (r=0.429, P < 0.001), and phone use frequency (r=0.316, P < 0.001) were all significantly correlated with MPIQ scores; multiple linear regression analysis showed that model 4 incorporating the scores of TFEQ-UE, TFEQ-CR, and TFEQ-EE explained up to 21.8% of the main effect (adjusted R2= 21.5%). CONCLUSIONS: Mobile phone overuse is associated with poor sleep quality and unhealthy eating behaviors, and education and interventions for mobile phone use is essential among college students.