The relationship between repetitive negative thinking, sleep disturbance, and subjective fatigue in women with Generalized Anxiety Disorder

Deficits in brain default mode network connectivity mediate the relationship between poor sleep quality and anxiety severity

STUDY OBJECTIVES

Chronic insomnia disorder (CID) is a prevalent sleep disorder that frequently cooccurs with anxiety. The association between insomnia and anxiety has been established; however, the neurobiological basis of this relationship remains unclear. This study aimed to investigate the neural markers of CID patients with and without anxiety and to determine whether specific neural connectivity mediates the relationship between insomnia and anxiety.

METHODS

This study included 180 participants, comprising CID patients with anxiety (CID-A), CID patients without anxiety (CID-NA), and good sleep controls. All participants completed self-reported measures of sleep quality and anxiety severity and underwent functional magnetic resonance imaging. Brain functional integration was measured using functional connectivity density (FCD) and resting-state functional connectivity (rsFC). Correlation and mediation analyses were used to examine the relationships among brain connectivity, sleep quality, and anxiety severity.

RESULTS

The CID-NA and CID-A groups showed decreased local FCD in the medial prefrontal cortex (mPFC) and disrupted rsFC between the precuneus and other brain regions. Only the CID-A group exhibited altered long-range FCD in the precuneus and the rsFC between the anterior default mode network (DMN, e.g. mPFC) and posterior DMN (e.g. precuneus). Mediation analysis revealed DMN dysconnectivity underlying the association between poor sleep quality and anxiety symptoms.

CONCLUSIONS

This study identified shared and distinct brain circuit disruptions in the CID-NA and CID-A groups, with deficits in DMN connectivity as a potential neural mechanism through which disrupted sleep augments anxiety. These findings may facilitate the development of personalized therapies for insomnia and associated anxiety problems.

Relationship between subjective and objective fatigue and sleep characteristics in individuals with anxiety and mood disorders: An exploratory study

OBJECTIVE

Fatigue and sleep disturbances are important symptoms of anxiety and mood disorders (AMD). Studies about the relationship between these variables usually rely on self-report assessments. Therefore, the aim of our exploratory study was to investigate the independent correlations between subjective and objective fatigue and sleep characteristics in individuals with AMD.

METHODS

In sum, 233 individuals with AMD attending a stress-related disorders day care unit (78.5 % females, mean age 39.0 years old) participated in a cross-sectional study. Participants completed the Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, Multidimensional Fatigue Inventory-20, and Pittsburgh Sleep Quality Index self-report questionnaires, as well as an exercise capacity workload test for assessing objective fatigue and polysomnography monitoring for evaluation of sleep structure.

RESULTS

In individuals with AMD, exercise capacity workload was associated with lower percent of stage 1 sleep (β = - 0.17, p = 0.006), REM latency (β = -0.13, p = 0.042), and wake after sleep onset (β = -0.12, p = 0.039). General fatigue was associated with a higher percent of body movements (β = 0.12, p = 0.047), as well as mental fatigue was associated with a higher percent of body movements (β = 0.13, p = 0.029), and a higher score on the PSQI (β = 0.21, p = 0.002).

CONCLUSIONS

Objective sleep characteristics were associated with objective assessment of fatigue, while subjective sleep quality was associated with subjectively assessed mental fatigue.

Factors affecting physical and mental fatigue in adults from South Korea: A cross-sectional study

In modern society, demanding and stressful events contribute to increased fatigue in adults. Moreover, fatigue is the most prevalent symptom of long coronavirus disease 2019. Fatigue is a subjective feeling of tiredness that can be attributed to various causes. This cross-sectional study investigated factors affecting physical and mental fatigue in adults living in South Korea. Self-reported data were collected through an online survey conducted between July 11 and July 17, 2021. The final sample comprised 362 participants, excluding those with uncertain responses. The collected data were analyzed using IBM SPSS version 27.0. General characteristics and variables of the participants were examined through descriptive statistical analysis. Differences in fatigue level according to the general characteristics of the participants were analyzed using t tests and one-way analysis of variance. The correlation between variables was analyzed using Pearson correlation coefficients. To investigate factors affecting fatigue, stepwise multiple regression analysis was conducted. The overall level of fatigue according to participants' general characteristics differed significantly based on alcohol use, economic status, number of chronic diseases, stress, depression, and sleep problems. Factors affecting physical fatigue were depression, sleep problems, General Health Questionnaire (GHQ-12) scores, and number of chronic diseases. The factors affecting mental fatigue were depression, GHQ-12 score, and alcohol use. The variables that had the most significant impact on overall fatigue were alcohol consumption, the number of chronic illnesses, depression, and GHQ-12, in that order. This emphasizes the importance of lifestyle improvement and dietary management in adults for preventing chronic diseases and managing mental health. The results of this study should be considered when planning health services to provide fatigue interventions for Korean adults.

Thalamo-cortical circuits associated with trait- and state-repetitive negative thinking in major depressive disorder

BACKGROUND

Repetitive negative thinking (RNT), often referred to as rumination in the mood disorders literature, is a symptom dimension associated with poor prognosis and suicide in major depressive disorder (MDD). Given the transdiagnostic nature of RNT, this study aimed to evaluate the hypothesis that neurobiological substrates of RNT in MDD may share the brain mechanisms underlying obsessions, particularly those involving cortico-striatal-thalamic-cortical (CSTC) circuits.

METHODS

Thirty-nine individuals with MDD underwent RNT induction during fMRI. Trait-RNT was measured by the Ruminative Response Scale (RRS) and state-RNT was measured by a visual analogue scale. We employed a connectome-wide association analysis examining the association between RNT intensity with striatal and thalamic connectivity.

RESULTS

A greater RRS score was associated with hyperconnectivity of the right mediodorsal thalamus with prefrontal cortex, including lateral orbitofrontal cortex, along with Wernicke's area and posterior default mode network nodes (t = 4.66-6.70). A greater state-RNT score was associated with hyperconnectivity of the right laterodorsal thalamus with bilateral primary sensory and motor cortices, supplementary motor area, and Broca's area (t = 4.51-6.57). Unexpectedly, there were no significant findings related to the striatum.

CONCLUSIONS

The present results suggest RNT in MDD is subserved by abnormal connectivity between right thalamic nuclei and cortical regions involved in both visceral and higher order cognitive processing. Emerging deep-brain neuromodulation methods may be useful to establish causal relationships between dysfunction of right thalamic-cortical circuits and RNT in MDD.

The Role of Job Insecurity, Social Media Exposure, and Job Stress in Predicting Anxiety Among White-Collar Employees

Purpose

The purpose of this study is to examine the combined effects and relationships between social media exposure, job insecurity, job stress, and anxiety among individuals and to propose an innovative model exploring how these factors contribute to increased anxiety.

Patients and Methods

This empirical research paper focuses on understanding the role of job insecurity, social media exposure, and job stress in predicting anxiety levels. The study was conducted on a sample of 292 white-collar employees in various organizations and institutions across the United States amid the COVID-19 pandemic and the ongoing economic crisis, during the broader transition to a digital working environment. A self-report Likert-type questionnaire was administered to measure employees' job stress, uncertainty, anxiety levels and social media exposure. The present study employed theoretical background of Lazarus' Theory of Psychological Stress and the JDR Model. Structural equation modeling (SEM) was used to examine the relationships between these constructs, while confirmatory factor analysis (CFA) was conducted to assess the validity of the measurement model.

Results

The study provides empirical support for the claim that employees with pervasive job stress will likely develop anxiety symptoms. It also highlights the mechanisms by which social media exposure increases employees' anxiety levels and how management and policymakers can buffer the stressors.

Conclusion

The research emphasizes the importance of addressing occupational mental health problems, and the implications of the findings indicate the need for managerial interventions in securing effective measures for buffering stress and controlled social media usage. This study contributes to the body of knowledge by informing managers and policymakers on key aspects to consider in promoting psychological balance and a healthy organizational climate.

Brain-predicted age difference mediates the association between PROMIS sleep impairment, and self-reported pain measure in persons with knee pain

Knee pain, the most common cause of musculoskeletal pain (MSK), constitutes a severe public health burden. Its neurobiological causes, however, remain poorly understood. Among many possible causes, it has been proposed that sleep problems could lead to an increase in chronic pain symptomatology, which may be driven by central nervous system changes. In fact, we previously found that brain cortical thickness mediated the relationship between sleep qualities and pain severity in older adults with MSK. We also demonstrated a significant difference in a machine-learning-derived brain-aging biomarker between participants with low-and high-impact knee pain. Considering this, we examined whether brain aging was associated with self-reported sleep and pain measures, and whether brain aging mediated the relationship between sleep problems and knee pain. Exploratory Spearman and Pearson partial correlations, controlling for age, sex, race and study site, showed a significant association of brain aging with sleep related impairment and self-reported pain measures. Moreover, mediation analysis showed that brain aging significantly mediated the effect of sleep related impairment on clinical pain and physical symptoms. Our findings extend our prior work demonstrating advanced brain aging among individuals with chronic pain and the mediating role of brain-aging on the association between sleep and pain severity. Future longitudinal studies are needed to further understand whether the brain can be a therapeutic target to reverse the possible effect of sleep problems on chronic pain.

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.