Effect of cognitive behavioral therapy for insomnia on sleep quality among college students: the role of hyperarousal and dysfunctional beliefs.

BACKGROUND: Although cognitive-behavioral therapy for insomnia (CBT-I) is an effective treatment for sleep disorders, little is known about the role of hyperarousal (especially trait arousal) in CBT-I interventions. Therefore, this study investigated the role of trait arousal in the maintenance of sleep problems using cross-sectional and longitudinal methods. METHODS: Study 1, 1209 Chinese university students (63.9% female) completed the Dysfunctional Beliefs and Attitudes about Sleep (DBAS-16), Pre-sleep Arousal Scale (PSAS), Arousal Predisposition Scale (APS), and Pittsburgh Sleep Quality Index (PSQI). The study calculated the moderating role of trait arousal in the relationship between dysfunctional beliefs about sleep and sleep quality. In study two, 89 participants completed the questionnaire used in Study 1 during pre-and post-treatment. A within-subjects mediation analysis examined the indirect effects of dysfunctional beliefs about sleep pre-sleep arousal (cognitive and somatic) on sleep quality. A within-subjects moderation analysis was used to investigate whether baseline trait arousal moderated sleep quality. RESULTS: Cross-sectional findings indicated that pre-sleep cognitive arousal mediated the effects of dysfunctional beliefs about sleep on sleep quality and that trait arousal moderated the first half of the mediating pathway described above; longitudinal analyses indicated that changes in dysfunctional beliefs about sleep and pre-sleep cognitive arousal mediated changes in sleep quality, and that, in addition, trait arousal moderated changes in sleep quality. CONCLUSION: Trait arousal correlates with the maintenance of sleep problems, and participants with higher trait arousal benefited less from CBT-I. Enhancement programs that incorporate mindfulness may be a direction for future research.

A latent profile analysis and network analysis of anxiety and depression symptoms in Chinese widowed elderly.

BACKGROUND: Widowhood, as a traumatic event in the aging process, may lead to adverse psychological consequences such as anxiety and depression. However, the heterogeneity of anxiety and depression comorbidity patterns in widowed elderly and the interrelationships between symptoms have not been adequately studied. METHOD: 10,239 elderly aged 65 years and older were screened from the Chinese Longitudinal Healthy Longevity Survey (CLHLS 2017-2018), to assess depression and anxiety using the Center for Epidemiologic Studies Depression Scale (CESD) and the 7-item Generalized Anxiety Disorder Questionnaire (GAD). The subgroups of widowed elderly with similar patterns of symptoms were identified by latent profile analysis (LPA). The structure of anxiety-depressive comorbidity network was characterized using "bridge expected influence" as centrality indices. Network stability was tested using a case drop bootstrap program. A network comparison test (NCT) was performed to examine the differences in network characteristics across LPA subgroups. RESULT: LPA identified dichotomous profiles: low comorbid (n = 4457) and high comorbid (n = 692). NCT revealed a significant difference in the global strength between networks (S = 0.631, p < 0.001). GAD1 (Nervousness or anxiety) is the common bridging symptom for both networks, while the bridging symptom for the high comorbidity network also includes GAD3 (Generalized worry). LIMITATIONS: Cross-sectional methods are unable to verify causal relationships, and further randomized controlled trials are warranted. CONCLUSION: Anxiety-depressive pattern in Chinese widowed elderly can be categorized into a low comorbid or a high comorbid group. GAD3 (Generalized worry) can be used as the core intervention target during intervention.

Self-compassion buffers the impact of learned helplessness on adverse mental health during COVID-19 lockdown.

BACKGROUND: Learned helplessness may be the underlying cause of poor mental health status among college students during the COVID-19 lockdown, and self-compassion as a positive psychological quality may influence the link between learned helplessness and mental health. METHODS: A sample of 869 Chinese college students (443 male and 426 female), with a mean age of 20.03 (SD = 1.68), completed the Learned Helplessness Scale (LHS), Self-Compassion Scale (SCS), and DASS-21. The moderating effect of self-compassion on the relationship between learned helplessness and anxiety, depression, and stress were calculated. RESULTS: The interaction term between learned helplessness and self-compassion has a significant coefficient on anxiety, depression, and stress, pointing out self-compassion as a moderator of the association between learned helplessness and adverse mental health. LIMITATIONS: In the absence of longitudinal data or experimental manipulations, cross-sectional methods cannot verify causal conclusions among the study variables. The analysing results are based only on self-reported data. DISCUSSION: The present study contributes to a deeper understanding of how learned helplessness and self-compassion during COVID-19 contribute to adverse mental health. The findings suggest that adverse mental health during lockdown is significantly associated with learned helplessness and that self-compassion can buffer this effect, contributing to future psychotherapy and clinical research. Future studies should examine the relationship through a longitudinal design to sort out whether self-compassion is a protective factor against learned helplessness or a moderator of the effects of learned helplessness on mental health.