General and sleep-specific worry in insomnia

Applicability of the cognitive model of generalized anxiety disorder to adolescents' sleep quality: A cross-sectional and longitudinal analysis

Background

Poor sleep quality is a prevalent health issue among adolescents, and few studies have examined the variables affecting adolescents' sleep quality from the perspective of the co-occurrence of sleep issues and anxiety disorders. Therefore, the current study investigated whether the cognitive model of generalized anxiety disorder applies to adolescents' sleep quality.

Method

In Study 1, a total of 2042 adolescents were recruited and they completed questionnaires relating to worry, intolerance of uncertainty (IU), negative problem orientation (NPO), cognitive avoidance (CA), and sleep quality. In Study 2, a total of 379 adolescents participated in a six-month longitudinal survey to verify the model that was obtained in Study 1.

Results

Study 1 showed the modified cognitive model of generalized anxiety disorder can be applied to adolescents' sleep quality. Specifically, IU was a higher-order vulnerability factor that directly affected worry, and indirectly fostered worry via NPO and CA, where worry only mediated the relationships between IU, NPO, and sleep quality. However, CA exerted no independent effect on worry or sleep quality beyond the influences of IU and NPO, therefore, it dropped out of the final model. Study 2 partially confirmed the above model again from the longitudinal perspective.

Conclusion

The present study constructs a new model to explain adolescents' sleep quality, providing a foundation for future interventions.

Linking repetitive negative thinking and insomnia symptoms: A longitudinal trait-state model

Sleep disturbance is highly debilitating, and an abundance of research suggests that repetitive negative thinking (i.e., rumination, worry) may contribute to the development and maintenance of maladaptive sleep patterns, such as insomnia symptoms. Although repetitive negative thinking is often conceptualized as a 'trait' risk factor for anxiety-related disorders, it is unclear if it consists of time-varying (TV) or state-like features versus time-invariant (TI) or trait-like characteristics. Furthermore, it is unclear if it is the TV or TI components of repetitive negative thinking that contribute to insomnia symptoms that is commonly observed in anxiety-related disorders. In a 6-wave, 5-month longitudinal study, community participants (N = 1219) completed measures of rumination, worry, transdiagnostic repetitive negative thinking, and insomnia symptoms. A latent variable (trait-state-occasion) model was applied to the measures of repetitive negative thinking. The results showed that although estimates of TI factor variance and TV factor variance were both significant for latent repetitive negative thinking, worry, and rumination, the proportion of TI factor variance (0.82-0.89) was greater than the amount of TV factor variance (0.11-0.19). Although TV factor stability was statistically significant for latent repetitive negative thinking, rumination, and worry, the magnitude of the coefficients was small. Furthermore, regression weights for the latent repetitive negative thinking, rumination, and worry TI factor were significant and larger than those for the TV factor in predicting insomnia symptoms at each of the six time points. These findings suggest that repetitive negative thinking is largely TI, and it is this TI component that contributes to insomnia symptoms. Implications for conceptualizations of repetitive negative thinking as a predisposing and perpetuating factor in insomnia for anxiety and related disorders are discussed.

Cross-lagged relationship between anxiety, depression, and sleep disturbance among college students during and after collective isolation

Object

Repeated quarantine policies over the past 3 years have led to poor psychological consequences for the public. Previous studies have proved that the quarantine policy leaves individuals vulnerable to anxiety, depression, and insomnia, especially among college students. This study aims to explore whether psychological problems during isolation continue with the release of isolation.

Methods

Overall, 2,787 college students both answered a web-based survey during and after the closure management was lifted. The Patient Health Questionnaire, Generalized Anxiety Disorder Scale, and Youth Self-rating Insomnia Scale were measured. The cross-lagged path model was used to explore the influence of psychological impact during isolation on the individual after the release.

Results

We found that anxiety and sleep disturbance levels alleviated significantly after quarantine, except for depression. As expected, a bidirectional relationship exists between anxiety, depression, and sleep disturbance. Moreover, depression and sleep disturbance can predict post quarantine depression, sleep disturbance, and anxiety, yet anxiety cannot predict sleep disturbance afterward.

Conclusion

Timely and effective intervention for anxiety, depression, and insomnia during isolation is essential for individuals to repair themselves quickly after the release.

Do alexithymia and negative affect predict poor sleep quality? The moderating role of interoceptive sensibility

OBJECTIVES

Emotion-related hyperarousal is an important core pathology of poor sleep. Studies investigating the interplay of alexithymia and affective experiences in determining sleep quality have yielded mixed results. To disentangle the inconsistency, this study examined the concurrent predictive power of alexithymia, and negative and positive affect, while incorporating interoceptive sensibility (IS) as a possible moderator.

METHODS

A sample of 224 (70.10% were female) participants completed the Toronto Alexithymia Scale, Positive and Negative Affect Schedule, Pittsburgh Sleep Quality Index, Multidimensional Assessment of Interoceptive Awareness (MAIA), and Marlowe-Crowne Social Desirability Scale (for controlling response bias) using paper and pencil. A two-stage cluster analysis of the MAIA was used to capture IS characteristics. Stepwise regression was conducted separately for each IS cluster.

RESULTS

A three-group structure for IS characteristics was found. Higher alexithymia was predictive of poor sleep quality in the low IS group, while higher negative affect predicted poor sleep quality in the moderate and high IS groups. Additionally, alexithymia and positive affect were significantly different in the three IS groups, while negative affect and sleep quality were not.

CONCLUSIONS

Emotion and cognitive arousal may impact sleep quality differently in individuals with different levels of internal focusing ability, depending on physiological versus emotional self-conceptualization. The implications on pathological research, clinical intervention, study limitations and future directions are discussed.

Worry and rumination predict insomnia in patients with coronary heart disease: a cross-sectional study with long-term follow-up

STUDY OBJECTIVES

Insomnia is highly prevalent and associated with anxiety and depression in patients with coronary heart disease patients. The development of effective psychological interventions is needed. Worry and rumination are potential risk factors for the maintenance of insomnia, anxiety, and depression that may be modified by psychological treatment grounded in the Self-Regulatory Executive Function model. However, the relationships between worry, rumination, anxiety and depression, and insomnia are not known. Therefore, we investigated these relationships both cross-sectionally and longitudinally among patients with coronary heart disease.

METHODS

A cross-sectional study consecutively included 1,082 patients in 2014-2015, and 686 were followed up after mean of 4.7 years. Data were gathered from hospital records and self-report questionnaires comprising assessment of worry (Penn State Worry Questionnaire), rumination (Ruminative Responses Scale), anxiety and depression (Hospital Anxiety and Depression Scale), and insomnia (Bergen Insomnia Scale).

RESULTS

Insomnia correlated moderately with all other psychological variables (R 0.18-0.50, all P values < .001). After adjustments for anxiety and depression, odds ratios for insomnia at baseline were 1.27 (95% confidence interval 1.08-1.50) and 1.60 (95% confidence interval 1.31-1.94) per 10 points increase of worry and rumination, respectively. Corresponding odds ratios for insomnia at follow-up were 1.28 (95% confidence interval 1.05-1.55) and 1.38 (95% confidence interval 1.09-1.75). Depression was no longer significantly associated with insomnia after adjustments for worry and rumination, but anxiety remained significant.

CONCLUSIONS

Worry and rumination predicted insomnia both cross-sectionally and prospectively, even after controlling for anxiety and depression, although anxiety remained significant. Future studies may test psychological interventions targeting these factors in patients with coronary heart disease and insomnia.

CITATION

Frøjd LA, Papageorgiou C, Munkhaugen J, et al. Worry and rumination predict insomnia in patients with coronary heart disease: a cross-sectional study with long-term follow-up. J Clin Sleep Med. 2022;18(3):779-787.

Development of the Perth Adolescent Worry Scale (PAWS)

Tools to assess worry among adolescents exist but do not capture the content of worries. This study reports on the development of a brief, psychometrically sound measure of worry for use with adolescents. Phase 1 involved identification of 27 potential items from existing instruments as well as item generation identified in interviews with students, teachers, school psychologists, and parents. In Phase 2, the candidate items were completed by 835 Australian adolescents (317 males, 508 females, 10 unspecified; Mean age = 13.55, SD = 1.31) from Grades 5 to 10. These data were randomly split in half, and an exploratory factor analysis on the first half identified a two-factor solution with 12 items: Peer Relationships (6 items) and Academic Success and the Future (6 items). On the second half of the data, confirmatory factor analyses supported the factor structure and supported strong invariance across age, socioeconomic status, and presence/absence of a diagnosed neurodevelopmental disorder. Weak invariance was evident across sex. Differences across groups are reported as are correlations with indicators of psychological wellbeing. In conclusion, the Perth Adolescent Worry Scale provides both applied professionals and researchers with a short, easy-to-administer, and psychometrically strong instrument to evaluate adolescents’ everyday worries.

Does cognitive behaviour therapy for insomnia reduce repetitive negative thinking and sleep-related worry beliefs? A systematic review and meta-analysis

Repetitive negative thinking (RNT), i.e., worry, rumination, and transdiagnostic repetitive thinking, is thought to exacerbate and perpetuate insomnia in cognitive models. Moreover, RNT is a longitudinal precursor of depression and anxiety, which are often co-present alongside insomnia. Whilst accumulating evidence supports the efficacy of cognitive behavioural therapy for insomnia (CBT-I) in reducing depression and anxiety symptoms, the literature on the effects of CBT-I on RNT has never been systematically appraised. Importantly, preliminary evidence suggests that reduction of RNT following CBT-I may be associated with reduction of depression and anxiety. Therefore, we aimed to conduct a systematic review and meta-analysis on the effects of CBT-I on RNT. Seven databases were searched, and 15 randomised controlled trials were included. Results showed moderate-to-large effects of CBT-I on worry (Hedge's g range: -0.41 to g = -0.71) but small and non-reliable effects on rumination (g = -0.13). No clear evidence was found for an association between post-treatment reduction in RNT and post-treatment reduction in depression and anxiety. Although the literature is small and still developing, CBT-I seems to have a stronger impact on sleep-related versus general measures of RNT. We discuss a research agenda aimed at advancing the study of RNT in CBT-I trials.

Bully victimization is a correlate of sleep loss over worry (SLOW) among adolescents in four South-East Asian countries

OBJECTIVE

To examine the unique contribution of bully victimization to sleep loss over worry (SLOW) among adolescents in four Southeast Asian countries, while controlling for loneliness and selected lifestyle factors.

METHODS

Data was derived from the Global School-Based Student Health Survey (2014-2015). Responses from a total of 13,043 adolescents in four Southeast Asian countries (Bangladesh, Brunei, Indonesia, and Timor Leste) were examined. Weighted frequencies of SLOW, bully victimization, loneliness, and selected lifestyle factors were first calculated, and Pearson's chi-square test was used to compare sample characteristics by severity of SLOW. A multivariate logistic regression analysis was constructed for each country to assess the unique contribution of bully victimization to SLOW, adjusting for demographics, loneliness, and selected lifestyle factors.

RESULTS

The prevalence of SLOW and bully victimization ranged between 38.0% and 44.6%, and 20.5%-24.9% respectively. Bully victimization and loneliness were consistently and positively linked to SLOW, with greater odds seen among students with severe SLOW who were bullied for 3 days or more (adjusted odds ratios (AORs) and 95% confidence intervals (CIs) Bangladesh: 6.00 [2.57-14.01]; Brunei: 2.48 [1.42-4.32]; Indonesia: 3.36 [2.02-5.59]; Timor Leste: 4.27 [2.15-8.48]) and experienced high level of loneliness (AORs and 95% CIs Bangladesh: 7.03 [3.46-14.29]; Brunei: 4.97 [3.63-6.79]; Indonesia: 8.71 [4.55-16.69]; Timor Leste: 2.97 [2.25-3.93]). Increased odds of severe SLOW were also seen among those engaged in sedentary behavior for 3 h or more per day (AORs and 95% CIs Indonesia: 1.85 [1.40-2.45]; Timor Leste: 1.61 [1.18-2.19]), and among those consuming fast food for three or more days per week (AORs and 95% CIs Brunei: 2.20 [1.26-3.86]; Indonesia: 1.98 [1.19-3.31]). The association of lifestyle factors and SLOW differed across countries.

CONCLUSION

Given the unique contributions of bully victimization to SLOW, we recommend countries in Southeast Asia to include sleep health as a component of adolescent health promotion, and to include reducing bully and bully victimization in strategies aimed at improving sleep health.

Sleep disturbance in PTSD and other anxiety-related disorders: an updated review of clinical features, physiological characteristics, and psychological and neurobiological mechanisms

The current report provides an updated review of sleep disturbance in posttraumatic stress disorder and anxiety-related disorders. First, this review provides a summary description of the unique and overlapping clinical characteristics and physiological features of sleep disturbance in specific DSM anxiety-related disorders. Second, this review presents evidence of a bidirectional relationship between sleep disturbance and anxiety-related disorders, and provides a model to explain this relationship by integrating research on psychological and neurocognitive processes with a current understanding of neurobiological pathways. A heuristic neurobiological framework for understanding the bidirectional relationship between abnormalities in sleep and anxiety-related brain pathways is presented. Directions for future research are suggested.

Self-Referential Dysfunction and Default-Mode Hyperactivation in Psychophysiological Insomnia Patients

Abstract. Psychophysiological insomnia (PI) is one of the most frequent sleep disorders. In this study we tested whether differences in terms of neural activation are present between a group of PI patients and a healthy-control group while they are exposed to idiosyncratic ruminations and worries, evoked visually by words, so as to explore their hypothetical link with default-mode network (DMN) dysfunction in PI. We recruited five PI patients diagnosed according to the International Classification of Sleep Disorders, version 2 (ICSD-2) of American Academy of Sleep Medicine (AASM) and five age- and sex-matched healthy controls. Patients were recruited at the outpatient Sleep Medicine Centre of the Coimbra University Hospital Centre. We used a functional magnetic resonance imaging (fMRI) block-design paradigm where the participants visualized lists of words related to past/present and future concerns and also emotionally neutral words. The results suggested that the PI patients showed a failure of the DMN to deactivate. Moreover, when these patients were exposed to words concerning both past/present ruminations and future worries, there was a pronounced and significant over-recruitment of brain areas related to DMN and self-referential processing when they were compared to healthy volunteers. The differences between the patient and control groups were also evident in self-report measures. In sum, despite the relatively small sample size, our study clearly suggests that in PI there is a dysfunction in brain regions pertaining to self-referential processing, which is corroborated by an overall pattern of hyperarousal in brain regions comprising the DMN. These data may be useful in the improvement of pathophysiological models, diagnostic and therapeutic interventions for insomnia.

Prospective Associations Between Sleep Disturbance and Repetitive Negative Thinking: The Mediating Roles of Focusing and Shifting Attentional Control

Although considerable evidence has linked sleep disturbance to symptoms of psychopathology, including repetitive negative thinking, few studies have examined how sleep disturbance may predict repetitive negative thinking over time. Further, no study to date has examined specific mechanisms that may account for this relationship. The present study sought to address these gaps in the literature by testing focusing and shifting attentional control as two potential mediators of the relationship between sleep disturbance and repetitive negative thinking over a 6-month period. A final sample of 445 unselected community participants completed measures of sleep disturbance and repetitive negative thinking at Time 1, measures of focusing and shifting attentional control 3 months later, and measures of repetitive negative thinking again 6 months later. Results revealed that focusing, but not shifting, attentional control mediated the relationship between sleep disturbance and repetitive negative thinking, specifically, worry, rumination, and obsessions. These findings provide preliminary evidence for focusing attentional control as a candidate mechanism that may explain the causal role of sleep disturbance in the development of repetitive negative thinking observed in various disorders.

When Thinking Impairs Sleep: Trait, Daytime and Nighttime Repetitive Thinking in Insomnia

We performed two studies in individuals with sleep problems to investigate trait, daytime, and nighttime repetitive thinking as risk factors for insomnia. In Study 1, 139 participants completed questionnaires on worry, rumination, insomnia, anxiety, depression, and a sleep diary. Trait rumination and trait worry were not associated with sleep impairment. In Study 2, 64 participants completed similar measures and a daytime and nighttime sleep-related worry diary. Only nighttime sleep-related worry was consistently associated with sleep impairment. Overall, results indicate that nighttime sleep-related worry is important in the maintenance of insomnia, whereas effects of trait and daytime repetitive thinking are more benign. Treatment for insomnia can potentially be improved by focusing more on nighttime sleep-related worry.

Sleep, Circadian Rhythms, and Anxious Traits

Anxiety is adaptive and plays an important role in keeping us safe. However, when anxiety becomes too extreme, it can cause significant disruptions and distress. Understanding the mechanisms underlying excessive anxiety and how to best treat it is a priority for researchers and clinicians. There is increasing recognition that disruptions in the amount and timing of sleep are associated with anxiety symptoms and characteristics. In the current paper, we explore the intersections between sleep, circadian rhythms, and anxiety. First, we review accumulating evidence that anxiety is associated with disruptions in sleep and circadian rhythms in both clinical and nonclinical samples and across ages. Next, we discuss the data linking sleep disruptions with anxiety-related traits (anxiety sensitivity, neuroticism, and perfectionism) and patterns of cognition and emotion. Finally, potential treatment implications are highlighted. Overall, these data suggest that delineating the role of disruptions in the amount and timing of sleep holds promise for improving the lives of individuals with heightened anxiety.