Mechanisms underlying the association between insomnia, anxiety, and depression in adolescence: Implications for behavioral sleep interventions

Negative attention bias and attentional control as mechanisms in the association between insomnia and depression in young people

Evidence supports a causal role of insomnia in the development and maintenance of depression, yet mechanisms underlying this association in young people are not well established. Attention biases have been implicated separately in the sleep and depression fields and represents an important candidate mechanism. Poor sleep may lead to a negative attention bias (characteristic of depression) by impacting attentional control. This study assessed the hypothesis that attentional control and negative attention bias would sequentially mediate the relationship between insomnia and depressive symptoms in an unselected sample of young people (17-24 years). Concerns have been raised regarding the psychometric properties of tasks used to measure attention bias, and a Dual-Probe Task is emerging as a more reliable measure. Participants (N = 275, Male = 59, Mage = 19.40) completed the Dual-Probe Task, a behavioural measure of attentional control, and self-report measures of insomnia and depression. Participants completed a one-week sleep diary. Results were consistent with negative attention bias, but not attentional control, as a mechanism which partially accounts for the relationship between sleep (i.e., insomnia severity, sleep duration, sleep efficiency, sleep latency) and depression. This study highlights sleep and negative attention bias as potentially modifiable risk factors to reduce depressive symptoms in young people.

How do adolescents experience a newly developed Online Single Session Sleep Intervention? A Think-Aloud Study

BACKGROUND

Sleep problems are common in adolescents and have detrimental impacts on physical and mental health and daily functioning. Evidence-based treatment like cognitive behaviour therapy for insomnia (CBT-I) is often hard to access, and adolescents may not engage in and adhere to longer, clinician-delivered interventions. Brief, self-guided, and accessible sleep interventions are needed.

OBJECTIVE

To explore the user experience of a prototype online self-help single session sleep intervention developed for adolescents.

METHODS

Eleven participants aged 17-19 years (8 females, 3 males) took part in online retrospective think-aloud interviews. Participants first completed the prototype intervention independently and were then shown the intervention page by page and asked to verbalise their thoughts and experiences. Transcripts were analyzed thematically.

RESULTS

Participants found the intervention helpful. Four themes were generated - 'Educative: Learning, but more fun', 'Effortless: Quicker and Easier', 'Personalization: Power of Choice', and 'Positivity: Just Good Vibes'. The theme 'Educative: Learning, but more fun' encompassed two sub-themes 'Opportunity to Learn' and 'Aesthetics and Learning'. These themes reflected participants' views that the intervention was educative, personalised, solution-oriented and easy to use, but could incorporate more graphics and visuals to aid in learning and could be made more effortless and positive through modifications to its design.

CONCLUSIONS

Findings convey the importance of ensuring educative well-designed content, personalization, a positive tone, and ease of use while designing interventions targeting adolescents's sleep and mental health. They also indicate areas for further developing the intervention.

Psychometric adaptation of the Spanish version of the Brief Pittsburgh Sleep Quality Index in adolescents

OBJECTIVE

Good sleep quality is essential for adolescent health, yet sleep difficulties persist in this age group. The 6-item Brief Pittsburgh Sleep Quality Index (B-PSQI) was recently developed to improve sleep quality assessment, however, its validity in adolescents remains unexplored. This study examined the B-PSQI's psychometric properties in Spanish adolescents and adapted the scoring method to age-specific sleep recommendations.

METHODS

A cross-sectional study involving 1,065 adolescents (15-17 years; 56.8% female) was conducted in public high schools. Sleep quality was measured using the B-PSQI, the Insomnia Severity Index (ISI), the short Patient-Reported Outcomes Measurement Information System (PROMIS), and the Epworth Sleepiness Scale (ESS). Additionally, depression and anxiety were assessed using the Depression, Anxiety, and Stress Scales. Reliability, validity, and measurement invariance were analyzed.

RESULTS

The B-PSQI global scores were 4.5 (SD = 1.9) for the original scoring method and 5.4 (SD = 2.8) for the age-adjusted. The age-adjusted B-PSQI showed satisfactory reliability (ω = 0.84) and concurrent, convergent, and discriminant validity (ISI rS = 0.67; PROMIS rS = 0.71; anxiety rS = 0.40; depression rS = 0.42; ESS rS = 0.29). Adequacy for one-factor structure (χ2(4) = 53.9; CFI = 0.97; TLI = 0.92; RMSEA = 0.108; SRMR = 0.05) and invariance across sexes were supported. Both B-PSQI scoring methods showed similar psychometric properties, but the original yielded a higher percentage of poor sleepers (43.1%; cutoff ≥5) than the age-adjusted version (41.9%; cutoff ≥6).

CONCLUSIONS

Findings suggest that the B-PSQI is a valid and reliable measure to assess adolescent sleep quality. Its scoring can be adjusted to provide age-specific criteria for good sleep. The B-PSQI has potential utility for screening sleep problems and facilitating overall health promotion in adolescents.

Sedative and hypnotic effects of the saponins from a traditional edible plant Liriope spicata Lour. in PCPA-induced insomnia mice

ETHNOPHARMACOLOGICAL RELEVANCE

Liriope spicata Lour., a species listed in the catalogue of 'Medicinal and Edible Homologous Species', is traditionally used for the treatment of fatigue, restlessness, insomnia and constipation.

AIM OF THE STUDY

This study is aimed to evaluate the sedative and hypnotic effect of the saponins from a natural plant L. spicata Lour. in vivo.

MATERIALS AND METHODS

The total saponin (LSTS) and purified saponin (LSPS) were extracted from L. spicata, followed by a thorough analysis of their major components using the HPLC-MS. Subsequently, the therapeutic efficacy of LSTS and LSPS was evaluated by the improvement of anxiety and depression behaviors of the PCPA-induced mice.

RESULTS

LSTS and LSPS exhibited similar saponin compositions but differ in their composition ratios, with liriopesides-type saponins accounting for a larger proportion in LSTS. Studies demonstrated that both LSTS and LSPS can extend sleep duration and immobility time, while reducing sleep latency in PCPA-induced mice. However, there was no significant difference in weight change among the various mice groups. Elisa results indicated that the LSTS and LSPS could decrease levels of NE, DA, IL-6, and elevate the levels of 5-HT, NO, PGD2 and TNF-α in mice plasma. LSTS enhanced the expression of neurotransmitter receptors, while LSPS exhibited a more pronounced effect in regulating the expression of inflammatory factors. In conclusion, the saponins derived from L. spicata might hold promise as ingredients for developing health foods with sedative and hypnotic effects, potentially related to the modulation of serotonergic and GABAAergic neuron expression, as well as immunomodulatory process.

The brain in chronic insomnia and anxiety disorder: a combined structural and functional fMRI study

Background

Chronic insomnia disorder (CID) is usually associated with Generalized Anxiety Disorder (GAD), which may change brain structure and function. However, the possible brain markers, imaging characteristics, and pathophysiology are unknown.

Objective

To look at the probable brain markers, imaging characteristics, and pathogenesis of CID in combination with GAD.

Methods

A total of 57 patients with CID concomitant GAD and 57 healthy controls (HC) were enrolled. Voxel-based morphometry (VBM) and functional connectivity (FC) were utilized to measure gray matter volume (GMV) and functional changes. Correlation analysis was utilized to identify relationships between brain changes and clinical characteristics.

Results

Patients had decreased GMV in the left cerebellum, right cerebellar peduncle, and left insula; increased FC between the left cerebellum and right angular gyrus, as well as between the left insula and anterior left cingulate gyrus; and decreased FC in several areas, including the left cerebellum with the middle left cingulate gyrus and the left insula with the left superior postcentral gyrus. These brain changes related to CID and GAD. These data could be used to identify relevant brain markers, imaging features, and to better understand the etiology.

Conclusion

The intensity of insomnia in patients was strongly related to the severity of anxiety. The lower GMV in the cerebellum could be interpreted as an imaging characteristic of CID. Reduced GMV in the insula, as well as aberrant function in the cingulate gyrus and prefrontal lobe, may contribute to the pathophysiology of CID and GAD. Abnormal function in the postcentral gyrus and angular gyrus may be associated with patients' clinical complaints.

Associations of evening-type and insomnia symptoms with depressive symptoms among youths

BACKGROUND

Evening-type and insomnia symptoms are significantly related to each other and independently associated with depressive symptoms, yet few studies have examined the potential interaction between these two conditions. Therefore, we aimed to examine the associations of evening-type and insomnia symptoms with depressive symptoms among Chinese youths, with a specific focus on the joint effects of the two conditions on depressive symptoms.

METHODS

Participants aged between 12 and 25 were invited to participate in an online survey from December 15, 2022, to May 26, 2023. Multivariate logistic regression models and additive interaction models were used to examine the independent and joint effects of chronotypes and insomnia symptoms on depressive symptoms, respectively.

RESULTS

Of the 6145 eligible youths, the prevalence of evening-type and insomnia symptoms were 24.9 % and 29.6 %, respectively. Both evening-type (adjusted OR, [AdjOR]: 3.21, 95 % CI: 2.80-3.67) and insomnia symptoms (AdjOR: 10.53, 95 % CI: 9.14-12.12) were associated with an increased risk of depressive symptoms. In addition, the additive interaction models showed that there is an enhanced risk of depression related to interaction between evening-type and insomnia symptoms (relative excess risk due to interaction, [RERI]: 11.66, 95 % CI: 7.21-16.11).

CONCLUSIONS

The present study provided additional evidence demonstrating the presence of interaction between evening-type and insomnia symptoms, which can lead to a higher risk of depressive symptoms. Our findings argue the need for addressing both sleep and circadian factors in the management of depressive symptoms in young people.

Subtyping at-risk adolescents for predicting response toward insomnia prevention program

BACKGROUND

Previous study has shown that a brief cognitive-behavioral prevention insomnia program could reduce 71% risk of developing insomnia among at-risk adolescents. This study aimed to evaluate the differential response to insomnia prevention in subgroups of at-risk adolescents.

METHODS

Adolescents with a family history of insomnia and subthreshold insomnia symptoms were randomly assigned to a 4-week insomnia prevention program or nonactive control group. Assessments were conducted at baseline, 1 week, and 6- and 12-month after the intervention. Baseline sleep, daytime, and mood profiles were used to determine different subgroups by using latent class analysis (LCA). Analyses were conducted based on the intention-to-treat approach.

RESULTS

LCA identified three subgroups: (a) insomnia symptoms only, (b) insomnia symptoms with daytime sleepiness and mild anxiety, and (c) insomnia symptoms with daytime sleepiness, mild anxiety, and depression. The incidence rate of insomnia disorder over the 12-month follow-up was significantly reduced for adolescents receiving intervention in subgroup 3 compared with the controls (hazard ratio [HR] = 0.37; 95% confidence interval [CI]: 0.13-0.99; p = .049) and marginally for subgroup 2 (HR = 0.14; 95% CI: 0.02-1.08; p = .059). In addition, adolescents who received intervention in subgroups 2 and 3 had a reduced risk of excessive daytime sleepiness (subgroup 2: adjusted OR [AdjOR] = 0.45, 95% CI: 0.23-0.87; subgroup 3: AdjOR = 0.32, 95% CI: 0.13-0.76) and possible anxiety (subgroup 2: AdjOR = 0.47, 95% CI: 0.27-0.82; subgroup 3: AdjOR = 0.33, 95% CI: 0.14-0.78) compared with the controls over the 12-month follow-up.

CONCLUSIONS

Adolescents at risk for insomnia can be classified into different subgroups according to their psychological profiles, which were associated with differential responses to the insomnia prevention program. These findings indicate the need for further phenotyping and subgrouping at-risk adolescents to develop personalized insomnia prevention.

Effect of long COVID-19 syndrome on health-related quality of life: a cross-sectional study

Purpose

This study aimed to assess the association of anxiety, headache, and insomnia on the QoL of patients with long COVID-19.

Methods

We conducted a cross-sectional survey between August 2020 and March 2023. A total of 200 participants were eligible, 53 were excluded and 147 patients with long COVID were included. QoL was evaluated across eight domains using the 36-Item Short Form Health Survey (SF-36). Standardized protocols including the Beck Anxiety Inventory (BAI) (n = 103), Pittsburgh Sleep Quality Index (PSQI) (n = 73), and Migraine Disability Assessment (MIDAS) (n = 67) were also used.

Results

Participants with sleep disorders had significantly lower Vitality (p < 0.001). Participants with anxiety disorders had significantly lower Vitality (p = 0.001), poorer Mental Health (p = 0.008), and more severe Bodily Pain (p = 0.008). Participants with headache had significantly lower Vitality (p = 0.032), poorer Mental Health (p = 0.036), and poorer Physical Functioning (p = 0.016). Participants with both headache and anxiety had significantly lower Vitality (p = 0.005) and Mental Health (p = 0.043) domain scores. Correlation analysis revealed that higher scores for anxiety, sleep disorder, and headache were independently correlated with poorer QoL across various domains. The presence of sleep disorder was associated with a fourfold increase in risk of experiencing diminished Vitality (odds ratio [OR]4.47; 95% CI 1.01-19.69; p = 0.048).

Conclusion

Participants with anxiety, sleep, and headache disorders tended to have a worse QoL. The Vitality and Mental Health domains were the most adversely affected in patients with long COVID. Sleep disorders were associated with a fourfold increase in the risk of poor Vitality.

A genome-wide association study identifies candidate genes for sleep disturbances in depressed individuals

OBJECTIVE

This study aimed to identify candidate loci and genes related to sleep disturbances in depressed individuals and clarify the co-occurrence of sleep disturbances and depression from the genetic perspective.

METHODS

The study subjects (including 58,256 self-reported depressed individuals and 6,576 participants with PHQ-9 score ≥ 10, respectively) were collected from the UK Biobank, which were determined based on the Patient Health Questionnaire (PHQ-9) and self-reported depression status, respectively. Sleep related traits included chronotype, insomnia, snoring and daytime dozing. Genome-wide association studies (GWASs) of sleep related traits in depressed individuals were conducted by PLINK 2.0 adjusting age, sex, Townsend deprivation index and 10 principal components as covariates. The CAUSALdb database was used to explore the mental traits associated with the candidate genes identified by the GWAS.

RESULTS

GWAS detected 15 loci significantly associated with chronotype in the subjects with self-reported depression, such as rs12736689 at RNASEL (P = 1.00 × 10- 09), rs509476 at RGS16 (P = 1.58 × 10- 09) and rs1006751 at RFX4 (P = 1.54 × 10- 08). 9 candidate loci were identified in the subjects with PHQ-9 ≥ 10, of which 2 loci were associated with insomnia such as rs115379847 at EVC2 (P = 3.50 × 10- 08), and 7 loci were associated with daytime dozing, such as rs140876133 at SMYD3 (P = 3.88 × 10- 08) and rs139156969 at ROBO2 (P = 3.58 × 10- 08). Multiple identified genes, such as RNASEL, RGS16, RFX4 and ROBO2 were reported to be associated with chronotype, depression or cognition in previous studies.

CONCLUSION

Our study identified several candidate genes related to sleep disturbances in depressed individuals, which provided new clues for understanding the biological mechanism underlying the co-occurrence of depression and sleep disorders.

Emotional Dysregulation and Sleep Problems: A Transdiagnostic Approach in Youth

BACKGROUND

Sleep is a complex phenomenon that affects several aspects of life, including cognitive functioning, emotional regulation, and overall well-being. Sleep disturbances, especially during adolescence, can negatively impact emotional regulation, making it a critical factor in targeting psychopathology.

METHODS

This study explores the interplay between emotional dysregulation (ED) and sleep patterns in a sample of 90 adolescent patients by means of self- and parent-rated clinical measures.

RESULTS

Our findings reveal a bidirectional relationship between ED and sleep problems. Adolescents with higher affective instability experience poorer sleep quality, while those with worse sleep quality exhibit higher internalizing problems. Additionally, emotional reactivity is associated with disrupted circadian rhythms.

CONCLUSIONS

These results emphasize the significance of addressing sleep problems in the context of psychopathology treatment, potentially leading to improved outcomes. Further research is needed to determine the most effective treatment strategies, including nonpharmacological and pharmacological interventions. Understanding the intricate relationship between sleep problems and emotion regulation offers insights for more targeted and effective treatment approaches for youths struggling with ED.

Role of vitamin D in the association between pre-stroke sleep quality and poststroke depression and anxiety

PURPOSE

Poor sleep quality, mood disorders, and vitamin D deficiency are common in stroke. We investigated the association between serum vitamin D levels and pre-stroke sleep quality and the occurrence of poststroke depression (PSD) and poststroke anxiety (PSA) in acute ischemic stroke (AIS).

METHODS

This prospective cross-sectional study included hospitalized patients with AIS and age- and sex-matched controls. Vitamin D levels were measured within 24 h of admission. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) at admission. The severity of depression and anxiety symptoms was evaluated according to Beck Depression Inventory and Beck Anxiety Inventory scores, respectively, within 72 h after admission.

RESULTS

Comparing 214 AIS patients with 103 controls, patients had significantly higher scores of Beck Depression Inventory, Beck Anxiety Inventory, and PSQI and lower vitamin D levels (p < 0.001). Among AIS patients, Beck Depression Inventory (p = 0.004) and Beck Anxiety Inventory (p = 0.018) scores were significantly higher in bad sleepers (PSQI score ≥ 6) than in good sleepers (PSQI score ≤ 5). Correlation analysis revealed negative correlations between serum vitamin D levels and Beck Depression Inventory (r =  - 0.234; p < 0.001), Beck Anxiety Inventory (r =  - 0.135; p = 0.016), and PSQI (r =  - 0.218; p < 0.001) scores.

CONCLUSION

Decreased serum vitamin D levels at admission are associated with a high risk for PSD and PSA in patients with poor pre-stroke sleep quality during the early stages of AIS.

Abnormal amplitude of low-frequency fluctuations associated with sleep efficiency in major depressive disorder

BACKGROUND

Sleep disturbance is one of the most frequent somatic symptoms in major depressive disorder (MDD), but the neural mechanisms behind it are not well understood. Sleep efficiency (SE) is a good indicator of early awakening and difficulty falling asleep in MDD patients. Our study aimed to investigate the relationship between sleep efficiency and brain function in MDD patients.

METHODS

We recruited 131 MDD patients from the Fourth People's Hospital in Hefei, and 71 well-matched healthy controls who were enrolled from the community. All subjects underwent resting-state functional MRI. Brain function was measured using the fractional amplitude of low-frequency fluctuation (fALFF), sleep efficiency was objectively measured by polysomnography (PSG), and clinical scales were used to evaluate depressive symptoms and sleep status. Multivariate regression analysis was performed to assess the relationship between the amplitude of the low frequency fluctuation fraction and sleep efficiency.

RESULT

Three brain regions with relevance to sleep efficiency in MDD patients were found: inferior occipital gyrus (Number of voxels = 25, peak MNI coordinate x/y/z = -42/-81/-6, Peak intensity = 4.3148), middle occipital gyrus (Number of voxels = 55, peak MNI coordinate x/y/z = -30/-78/18, Peak intensity = 5.111), and postcentral gyrus (Number of voxels = 26, peak MNI coordinate x/y/z = -27/-33/60, Peak intensity = 4.1263). But there was no significant relationship between fALFF and SE in the healthy controls.

CONCLUSION

The reduced sleep efficiency in MDD may be related to their lower neural activity in the inferior occipital gyrus, middle occipital gyrus, and postcentral gyrus. The findings may provide a potential neuroimaging basis for the clinical intervention in patients with major depressive disorder with sleep disturbances.

The beneficial effect of fluoxetine on behavioral and cognitive changes in chronic experimental Chagas disease unveils the role of serotonin fueling astrocyte infection by Trypanosoma cruzi

BACKGROUND

In Chagas disease (CD), a neglected tropical disease caused by the parasite Trypanosoma cruzi, the development of mental disorders such as anxiety, depression, and memory loss may be underpinned by social, psychological, and biological stressors. Here, we investigated biological factors underlying behavioral changes in a preclinical model of CD.

METHODOLOGY/PRINCIPAL FINDINGS

In T. cruzi-infected C57BL/6 mice, a kinetic study (5 to 150 days postinfection, dpi) using standardized methods revealed a sequential onset of behavioral changes: reduced innate compulsive behavior, followed by anxiety and depressive-like behavior, ending with progressive memory impairments. Hence, T. cruzi-infected mice were treated (120 to 150 dpi) with 10 mg/Kg/day of the selective serotonin reuptake inhibitor fluoxetine (Fx), an antidepressant that favors neuroplasticity. Fx therapy reversed the innate compulsive behavior loss, anxiety, and depressive-like behavior while preventing or reversing memory deficits. Biochemical, histological, and parasitological analyses of the brain tissue showed increased levels of the neurotransmitters GABA/glutamate and lipid peroxidation products and decreased expression of brain-derived neurotrophic factor in the absence of neuroinflammation at 150 dpi. Fx therapy ameliorated the neurochemical changes and reduced parasite load in the brain tissue. Next, using the human U-87 MG astroglioma cell line, we found no direct effect of Fx on parasite load. Crucially, serotonin/5-HT (Ser/5-HT) promoted parasite uptake, an effect increased by prior stimulation with IFNγ and TNF but abrogated by Fx. Also, Fx blocked the cytokine-driven Ser/5-HT-promoted increase of nitric oxide and glutamate levels in infected cells.

CONCLUSION/SIGNIFICANCE

We bring the first evidence of a sequential onset of behavioral changes in T. cruzi-infected mice. Fx therapy improves behavioral and biological changes and parasite control in the brain tissue. Moreover, in the central nervous system, cytokine-driven Ser/5-HT consumption may favor parasite persistence, disrupting neurotransmitter balance and promoting a neurotoxic environment likely contributing to behavioral and cognitive disorders.

Sex-specific grey matter abnormalities in individuals with chronic insomnia

Previous studies have reported sex differences in altered brain function in patients with chronic insomnia (CI). However, sex-related alterations in brain morphology have rarely been investigated. This study aimed to investigate sex-specific grey matter (GM) alterations in patients with CI and to examine the relationship between GM alterations and neuropsychological assessments. Ninety-three (65 females and 28 males) patients and 78 healthy (50 females and 28 males) controls were recruited. Structural magnetic resonance imaging data were analysed using voxel-based morphometry to test for interactions between sex and diagnosis. Spearman's correlation was used to assess the associations among structure, disease duration, and sleep-, mood-, and cognition-related assessments. Males with CI showed reduced GM volume in the left inferior parietal lobe, left middle cingulate cortex, and right supramarginal gyrus. Females with CI showed increased GM volume in the right Rolandic operculum. Moreover, mood-related assessments were negatively correlated with GM volumes in the right supramarginal gyrus and left inferior parietal lobe in the male patients, and cognitive-related assessments were positively correlated with GM volumes in the Rolandic operculum in the female patients. Our findings indicate sex-specific alterations in brain morphology in CI, thereby broadening our understanding of sex differences in CI and potentially providing complementary evidence for the development of more effective therapies and individual treatments.

The mediation effects of nightmares and depression between insomnia and suicidal ideation in young adults

Suicide is prevalent among young adults, and epidemiological studies indicate that insomnia, nightmares, and depression are significantly associated with a high incidence of suicidal ideation (SI). However, the causal relationship between these factors and SI remains unclear. Therefore, the purpose of this study was to examine the association between nightmares and depression and insomnia and SI in young adults, as well as to develop a mediation model to investigate the causal relationship between insomnia, nightmare, depression, and SI. We assessed insomnia, nightmares, depression, and SI in 546 young adults using the Insomnia Severity Scale (ISI), Disturbing Dream and Nightmare Severity Scale (DDNSI), Depression Study Scale (CESD-20), and Columbia-Suicide Severity Rating Scale (C-SSRS). Using the Bootstrap method, the mediation effects of nightmares and depression between insomnia and SI were calculated. The results demonstrated that nightmares and depression fully mediated the relationship between insomnia and SI, including the chain-mediation of insomnia and SI between nightmare and depression with an effect value of 0.02, 95% CI 0.01-0.04, and depression as a mediator between insomnia and SI with an effect value of 0.22, 95% CI 0.15-0.29. This study found that depression and nightmares may be risk and predictive factors between insomnia and SI, which implies that the assessment and treatment of depression and the simple or linked effect of nightmares play crucial roles in preventing SI in young adults.

Sleep disturbance and internalizing symptoms in adolescents: a moderated mediation model of self-control and mindfulness

OBJECTIVES

Despite accumulating evidence regarding the impact of sleep disturbance on internalizing symptoms among adolescents, the underlying psychological mechanisms remain inadequately explored. This study aimed to investigate a conceptual framework elucidating how sleep disturbance influences internalizing symptoms in adolescents through the mediating role of self-control, with mindfulness as a moderator.

METHODS

In this cross-sectional study, 1876 Chinese adolescents (Mage = 14.88 years, SD = 1.47 years, range = 12-19 years, 44.7% boys) completed the Youth Self-Rating Insomnia Scale (YSIS), Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), Brief Self-control Scale (BSCS), and Mindful Attention Awareness Scale-Children (MAAS-C) to provide data on sleep-related variables, internalizing symptoms (anxiety and depression), self-control, and mindfulness, respectively. The PROCESS macro for SPSS was applied to perform moderated mediation analysis.

RESULTS

Sleep disturbance demonstrated a significant positive correlation with internalizing symptoms in adolescents, including anxiety (β = 0.481, p < 0.001) and depression (β = 0.543, p < 0.001). Self-control served as a mediator between sleep disturbance and two forms of internalizing symptoms. Moreover, mindfulness moderated the pathways from self-control to internalizing symptoms (for anxiety symptoms: β = 0.007, p < 0.001; for depression symptoms: β = 0.006, p < 0.001), and the mediating relationships were weaker for adolescents exhibiting higher levels of mindfulness.

CONCLUSIONS

Our findings enhance understanding of the impact, pathways, and influencing factors of sleep disturbance on adolescent internalizing symptoms, suggesting the importance of enhancing mindfulness levels in addressing self-control deficits and subsequently reducing internalizing symptoms among adolescents.

Sleep and circadian rhythms in adolescents with attempted suicide

Sleep and circadian rhythm disorders are very common in adolescents and have been linked to suicidal ideation. However, little is known about adolescent sleep before a suicide attempt (SA). The objectives of this study were to compare the sleep of adolescents aged 13 to 18 over a period of 4 weeks before a SA compared to a non-SA group, then to analyze the association between sleep, support social and well-being based on information from validated questionnaires. In 2015, 250 adolescents were included, 55 were recruited the day after a SA in French hospitals (before SA evaluations were retrospective). Logistic regression analyzes showed that during school days, bedtime was equivalent in both groups, but sleep onset latency was significantly longer in SA (86 min vs. 52 min, p = 0.016), and wake-up time was earlier (6 h 22 vs. 6 h 47, p = 0.002), resulting in a shorter total sleep time of 44 min (OR = 0.76, CI 95% [0.61-0.93]) the month preceding SA. Adolescents with longer sleep time performed better on perceived psychological well-being (p = 0.005), relationship with parents (p = 0.011) and school environment (p < 0.001). Results indicate a significant change in the quantity and quality of adolescents' subjective sleep in the 4 weeks preceding SA requiring objective measures to study the predictive properties of sleep in SA.

Temporal pathways between circadian rhythm, depression and anxiety in the transition from adolescence to early adulthood

BACKGROUND

Sleep and circadian rhythm problems intertwine with affective disorders. Adolescents are particularly vulnerable to developing sleep and affective problems. Yet, the temporal pathways between circadian rhythm, depression and anxiety in the transition phase from adolescence to early adulthood are not fully understood.

METHODS

233 adolescents (76 % females) participated at two time points (T1 and T2) at an interval of 19-months (aged 16.8 and 18.4 years). We used The Beck Depression Inventory-II, Generalized Anxiety Disorder Assessment, GENEActiv actigraphy across 8 days (delayed sleep phase (DSP), sleep duration, midpoint, and regularity), and iButton 1922L thermologgers across 3 days (intrinsic circadian period length, amplitude, and mesor).

RESULTS

A shorter sleep duration at T1 associated with an increase in affective problems at T2, and affective problems at T1 associated with an increase in sleep irregularity at T2. A longer circadian period at T1 associated with an increase in males' affective problems at T2. Moderate to severe depression and anxiety at T1 associated with a 2.69-fold risk (95 % CI 1.38-5.26, p = 0.004) and 2.11-fold risk (95 % CI 1.04-4.25, p = 0.038) of poor sleep quality at T2. Moderate to severe generalized anxiety associated with a 3.17-fold risk (95 % CI 1.35-7.41, p = 0.008) of DSP at T2.

LIMITATIONS

The follow-up period is short.

CONCLUSIONS

The results revealed bidirectional temporal links between sleep and affective problems. Novel observations include a heightened risk of future DSP following a current anxiety disorder and a heightened risk of affective problems following a longer circadian period measured from the 24-hour temperature variation in males.

Associations between receiving non-consensual image and video sexts and average sleep duration among adolescents and young adults

Background Sexting is the sending and receiving of nude or partially nude images or videos. Despite it being a part of contemporary relationships, it can have adverse effects. This is particularly the case when receiving non-consensual sexts. To date, there remains a gap in the literature on whether receiving non-consensual sexts is associated with poor sleep. Therefore, the aim of this study was to determine the association between receiving non-consensual sexts and average sleep duration. Methods Data from Wave 2 (2022) of the Canadian Study of Adolescent Health Behaviours (N =906) were analysed. Multinomial logistic regression analyses were used to determine the association between receiving non-consensual sexts (both image and video) in the past 12months and average sleep duration (≤5h, 6h, 7h, 8h, and ≥9h) in the past 2weeks. Analyses were stratified by gender. Results Girls and women who received non-consensual image and video sexts, compared to those who did not, were more likely to report ≤5h of average sleep in the past 2weeks, relative to 8h of average sleep. There were no significant findings among boys and men. Conclusion Findings underscore that receiving non-consensual image and video sexts may negatively impact sleep among girls and women, which may be contextualised by trauma responses experienced because of gender-based sexual violence. Healthcare and mental health professionals should be made aware of this association to provide effective care to girls and women.

Network analysis of sleep bruxism in the EPISONO adult general population

Sleep bruxism (SB) has been associated with biological and psychosocial factors. The assessment of SB includes self-report, clinical evaluation, and polysomnography. This study aimed to investigate the associations of self-reported SB with other sleep disorders and demographic, psychological, and lifestyle factors in the adult general population, and to investigate whether self-reported SB and polysomnographically (PSG) confirmed SB provide similar outcomes in terms of their associated factors. We recruited 915 adults from the general population in Sao Paulo, Brazil. All participants underwent a one-night PSG recording and answered questions about sex, age, BMI, insomnia, OSA risk, anxiety, depression, average caffeine consumption, smoking frequency, and alcohol consumption frequency. We investigated the link between SB and the other variables in univariate, multivariate, and network models, and we repeated each model once with self-reported SB and once with PSG-confirmed SB. Self-reported SB was only significantly associated with sex (p = 0.042), anxiety (p = 0.002), and depression (p = 0.03) in the univariate analysis, and was associated with insomnia in the univariate (p < 0.001) and multivariate (β = 1.054, 95%CI 1.018-1.092, p = 0.003) analyses. Network analysis showed that self-reported SB had a direct positive edge to insomnia, while PSG-confirmed SB was not significantly associated with any of the other variables. Thus, sleep bruxism was positively associated with insomnia only when self-reported, while PSG-confirmed SB was not associated with any of the included factors.

Psychiatric adverse events associated with the COVID-19 vaccines approved in the Republic of Korea: a systematic review

This systematic review evaluated psychiatric adverse events (AEs) following vaccination against coronavirus disease 2019 (COVID-19). We included studies that reported or investigated psychiatric AEs in individuals who had received an approved COVID-19 vaccine in the Republic of Korea. Systematic electronic searches of Ovid-Medline, Embase, CENTRAL, and KoreaMed databases were conducted on March 22, 2023. Risk of bias was assessed using the Risk of Bias Assessment Tool for Non-randomized Studies 2.0. The study protocol was registered in the International Prospective Register of Systematic Reviews (CRD42023449422). Of the 301 articles initially selected, 7 were included in the final analysis. All studies reported on sleep disturbances, and 2 highlighted anxiety-related AEs. Sleep disorders like insomnia and narcolepsy were the most prevalent AEs, while depression was not reported. Our review suggests that these AEs may have been influenced by biological mechanisms as well as the broader psychosocial context of the COVID-19 pandemic. Although this study had limitations, such as a primary focus on the BNT162b2 vaccine and an observational study design, it offered a systematic, multi-vaccine analysis that fills a critical gap in the existing literature. This review underscores the need for continued surveillance of psychiatric AEs and guides future research to investigate underlying mechanisms, identify risk factors, and inform clinical management.

Hypnosis with depressed children and teens: Building skills, creating connection

Depression in children and teens has been on the rise for several years. Recent increases in anxiety and loneliness, both contributors to the development of depression, are putting more young people at risk for chronic and comorbid mental health struggles. The use of hypnosis with depressed children offers the opportunity to target the identified skills depressed and anxious children need and is a modality clinicians should embrace. This article describes how to create hypnotic interventions focusing on improved emotional and cognitive management, better sleep, and the ability to make positive social connections. Such interventions serve to not only build the resources depressed children need for recovery, but also support a paradigm shift toward prevention in children and families.

Sleep-Related Problems and Pediatric Anxiety Disorders

Sleep-related problems are highly prevalent among childhood and adolescent anxiety disorders. The objective of this review was to summarize the relevant clinical research literature as it pertains to the nature of the association between sleep-related problems and youth anxiety, developmental factors relevant to this association, and intervention efforts to target comorbid sleep challenges and anxiety. Limitations of the literature and future directions are discussed.

Major Depressive Disorder Prediction Based on Sleep-Wake Disorders Symptoms in US Adolescents: A Machine Learning Approach from National Sleep Research Resource

Background

There is substantial evidence from previous studies that abnormalities in sleep parameters associated with depression are demonstrated in almost all stages of sleep architecture. Patients with symptoms of sleep-wake disorders have a much higher risk of developing major depressive disorders (MDD) compared to those without.

Objective

The aim of the present study is to establish and compare the performance of different machine learning models based on sleep-wake disorder symptoms data and to select the optimal model to interpret the importance of sleep-wake disorder symptoms to predict MDD occurrence in adolescents.

Methods

We derived data for this work from 2020 to 2021 Assessing Nocturnal Sleep/Wake Effects on Risk of Suicide Phase I Study from National Sleep Research Resource. Using demographic and sleep-wake disorder symptoms data as predictors and the occurrence of MDD measured base on the center for epidemiologic studies depression scale as an outcome, the following six machine learning predictive models were developed: eXtreme Gradient Boosting model (XGBoost), Light Gradient Boosting mode, AdaBoost, Gaussian Naïve Bayes, Complement Naïve Bayes, and multilayer perceptron. The models' performance was assessed using the AUC and other metrics, and the final model's predictor importance ranking was explained.

Results

XGBoost is the optimal predictive model in comprehensive performance with the AUC of 0.804 in the test set. All sleep-wake disorder symptoms were significantly positively correlated with the occurrence of adolescent MDD. The insomnia severity was the most important predictor compared with the other predictors in this study.

Conclusion

This machine learning predictive model based on sleep-wake disorder symptoms can help to raise the awareness of risk of symptoms between sleep-wake disorders and MDD in adolescents and improve primary care and prevention.

UK Medical Cannabis Registry: Assessment of clinical outcomes in patients with insomnia

INTRODUCTION

The primary aim of this study was to assess changes in sleep-specific health-related quality of life (HRQoL) for those prescribed cannabis-based medicinal products (CBMPs) for insomnia.

METHODS

A case series of UK patients with insomnia was analyzed. Primary outcomes were changes in the Single-Item Sleep-Quality Scale (SQS), Generalized Anxiety Disorder-7 (GAD-7), and EQ-5D-5L at up to 6 months from baseline. Statistical significance was identified as a p value < .050.

RESULTS

61 patients were included in the analysis. There was an improvement in the SQS from baseline at 1, 3, and 6 months (p < .001). There were also improvements in the EQ-5D-5L Index value and GAD-7 at 1, 3, and 6 months (p < .050). There were 28 (45.9%) adverse events recorded by 8 patients (13.1%). There were no life-threatening/disabling adverse events.

CONCLUSION

Patients with insomnia experienced an improvement in sleep quality following the initiation of CBMPs in this medium-term analysis. Fewer than 15% of participants reported one or more adverse events. However, due to the limitations of the study design, further investigation is required before definitive conclusions can be drawn on the efficacy of CBMPs in treating insomnia.

Within-person reciprocal links between stress, sleep, and depressive symptoms across Latino/a adolescents' transition to and through college

Evidence suggests bidirectional relations between stress, sleep, and depressive symptoms in adolescence and young adulthood. Less research has disaggregated within- and between-person variance in these associations over time or within Latino/a college students. This study examined longitudinal, within-person reciprocal relations between stress, sleep, and depressive symptoms among 181 Latino/a adolescents (M age = 18.10; SD = 0.41, 35% male) transitioning to college. Participants were assessed in their senior year of high school and annually until their fourth year of college. A random intercept cross-lagged panel model (RI-CLPM) was used to parse out within- and between-person sources of variance. Results indicated overall (between-person) relations among depressive symptoms and school/college stress and sleep problems. There were reciprocal within-person links between stress and sleep problems across the first two years of college. Within-person increases in depressive symptoms during the second year of college predicted more stress than usual in the third year, which predicted increased depressive symptoms in the fourth year. More sleep problems than usual in the third year of college predicted higher stress in the fourth year. Findings provide evidence for within-person cross-lagged relations among various domains of adjustment during college and may inform future prevention efforts for incoming Latino/a college students targeting mental health and sleep problems.

TGR5 deficiency-induced anxiety and depression-like behaviors: The role of gut microbiota dysbiosis

BACKGROUND AND PURPOSE

Anxiety and depression have been associated with imbalances in the gut microbiota and bile acid metabolism. Takeda G protein-coupled receptor 5 (TGR5), a bile acid receptor involved in metabolism, is influenced by the gut microbiota. This study aimed to investigate the relationship between anxiety, depression, and microbiota using TGR5 knockout mice.

METHODS

We employed the following methods: (1) Assessment of behavioral changes, (2) Measurement of 5-HT levels and protein expression, (3) Analysis of stool samples, (4) Utilization of gene sequencing and statistical analysis to identify microbial signatures, (5) Examination of correlations between microbial signatures and 5-HT levels, and (6) Fecal microbiota transplantation experiments of TGR5-/- mice.

RESULTS

The deletion of TGR5 was found to result in increased anxiety- and depression-like behaviors in mice. TGR5 knockout mice exhibited significant reductions in 5-hydroxytryptamine (5-HT) levels in both serum and hippocampus, accompanied by a decrease in the expression of 5-HT1A receptor in the hippocampus. Moreover, TGR5 deficiency was associated with a decrease in the species richness of the gut microbiota. Specifically, the gut microbiota compositions of TGR5 knockout mice displayed distinct differences compared to their littermates, characterized by higher abundances of Anaeroplasma, Prevotella, Staphylococcus, Jeotgalicoccus, and Helicobacter, and a lower abundance of Bifidobacterium. Notably, a strong association between Jeotgalicoccus as well as Staphylococcus and serum 5-HT levels was observed in co-occurrence network. Furthermore, mice that received fecal microbiota transplants from TGR5-/- mice displayed anxiety and depression -like behaviors, accompanied by alterations in 5-HT levels in the hippocampus and serum.

LIMITATIONS

Study limitations for gut bacteria were analyzed at the genus level only.

CONCLUSION

TGR5 deletion in mice induces anxiety and depression-like behaviors, linked to reduced 5-HT levels in serum and the hippocampus. Gut microbiota changes play a direct role in these behaviors and serotonin alterations. This implicates TGR5 and gut bacteria in mood regulation, with potential therapeutic implications.

Severe depressive symptoms in patients with hypertension: Are antihypertensive medications implicated?

OBJECTIVE

This study examined whether antihypertensive medications and other patient characteristics are associated with severe depressive symptoms in patients with hypertension.

METHODS

Patients with a diagnosis of hypertension were recruited from the internal medicine outpatient clinics of a hospital in Amman, Jordan, into this cross-sectional study. Depression severity was assessed using the Patient Health Questionnaire-9 (PHQ-9); anxiety by the General Anxiety Disorder-7; sleep quality by the Insomnia Severity Index; and psychological stress by the Perceived Stress Scale. Multivariable binary logistic regression was used to examine the association between the different classes of antihypertensive medication and depressive symptoms.

RESULTS

Of the 431 participants, 282 (65.4%) were men; 240 (55.7%) reported having type 2 diabetes; 359 (83.3%) had dyslipidemia; 142 (32.9%) were on beta-blockers; 197 (45.2%) were on ACE inhibitors or angiotensin receptor blockers; 203 (47.1%) were on metformin; and 133 (30.9%) were taking sulfonylurea. Severe depressive symptoms, indicated by scoring above the cut-off of 14 on the PHQ-9, were present in 165 (38.3%) patients. Severe depression was associated with younger age (<55 years) (OR = 3.15, 95% CI = 1.83-5.41, P < 0.001), unemployment (OR = 2.15, 95% CI = 1.15-4.00, P = 0.01), diabetes (OR = 1.81, 95% CI = 1.09-3.02, P = 0.02), severe anxiety (OR = 6.40, 95% CI = 3.64-11.28, P < 0.001), and severe insomnia (OR = 4.73, 95% CI = 2.85-7.82, P < 0.001).

CONCLUSION

Severe depressive symptoms were not associated with antihypertensive medications or other drugs used by hypertensive patients. Younger age, diabetes, anxiety, and insomnia were the primary correlates of depression.

A meta-analysis of longitudinal studies on the interplay between sleep, mental health, and positive well-being in adolescents

Objective

This review aimed to summarize longitudinal research about the interplay between sleep, mental health, and positive well-being in adolescents.

Method

Multiple search strategies were applied until 28th January 2023 to identify relevant research published in peer-reviewed journal articles or available grey literature. A final set of 63 studies were included in the systematic review and 42 in the meta-analysis.

Results

Results highlighted that long sleep duration, good sleep quality, and low insomnia symptoms were bidirectionally related to lower internalizing (Sleep T1 → Internalizing symptoms T2: r = -.20, p < .001; Internalizing symptoms T1 → Sleep T2: r = -.21, p < .001) and externalizing (Sleep T1 → Externalizing symptoms T2: r = -.15, p < .001; Externalizing symptoms T1→ Sleep T2: r = -.17, p < .001) symptoms, and to higher levels of psychological well-being (Sleep T1 → Psychological well-being T2: r = .15, p < .001; Psychological well-being T1 → Sleep T2: r = .15, p < .05). Moreover, good sleep was positively related to higher subjective well-being at a later time point (r = .18, p < .001).

Conclusions

Overall, these findings suggest a bidirectional relation between different aspects of sleep, mental health, and positive well-being.

Improvements in sleep problems and their associations with mental health symptoms: A study of children and adolescents participating in a digital mental health intervention

Objective

A growing number of youth are utilizing digital mental health interventions (DMHIs) for treatment of mental health problems such as anxiety, depression, and ADHD. Although these mental health symptoms are closely related to sleep problems, it is unknown whether nonsleep DMHIs indirectly confer improvements in sleep. Using retrospective data, the current study assesses (1) whether youth sleep problems improve over participation in a nonsleep DMHI, and (2) whether mental health symptom severity and improvement are correlated with sleep problem severity over time.

Methods

Sleep problems and mental health symptoms were assessed every 30 days among children (ages 5-12) and adolescents (ages 13-17) participating in a pediatric digital mental health intervention (DMHI; N = 1219).

Results

Children and adolescents with elevated sleep problems (39.3%; n = 479) were older (P < .001), more predominantly female (P < .001), and more likely to have elevated anxiety (P < .001), depressive (P < .001) and inattention symptoms (P = .001), as compared to those with nonelevated sleep problems (60.7%; n = 740). From the baseline to last assessment, 77.3% (n = 269) of members with elevated sleep problems exhibited improvements, with sleep problems decreasing significantly over each month in care (P < .001). Members with improvements in anxiety, depressive, and/or ADHD symptoms had larger improvements in sleep over time compared to their peers with no improvement in their mental health symptoms (Months in care*Change type: P < .001 for all).

Conclusions

Our results provide preliminary evidence that participation in a pediatric DMHI is associated with improvements in sleep problems, even when youth are not being treated directly for sleep problems. These findings highlight a valuable secondary benefit of participating in mental health care within pediatric DMHIs and warrant further experimental research.

Changes in sleep disturbance among Chinese adolescents: A population-based online survey

OBJECTIVE

Sleep disturbance is prevalent among adolescents but little is known about the short-term changes among Chinese adolescents. The study aimed to explore the prevalence and change patterns of sleep disturbance and identify its risk and protective factors.

METHODS

Data were collected online from April 21st to May 12th, 2021 (Time 1, T1) and December 17th to 26th, 2021 (Time 2, T2). The final sample comprised 34,260 adolescents. Self-administrated questionnaires were used to assess socio-demographic variables, sleep disturbance, depression, anxiety, life events, family function, and resilience.

RESULTS

The prevalence of sleep disturbance was 12.0% at T1 and 11.8% at T2, with higher rates in females than males. Four groups of sleep disturbance change patterns were identified: non-sleep disturbance group (80.4%), persistent group (4.2%), new-onset group (7.6%), and remission group (7.8%). Risk factors for new-onset sleep disturbance included being in junior high school (AOR = 1.26, 95%CI = 1.15-1.38), family history of mental disorders (AOR = 1.49, 95%CI = 1.03-2.15), and moderate (AOR = 1.24, 95%CI = 1.13-1.36) and severe (AOR = 1.48, 95%CI = 1.27-1.72) family dysfunction. Risk factors for persistent sleep disturbance included being in junior (AOR = 1.25, 95%CI = 1.08-1.45) and senior (AOR = 1.53, 95%CI = 1.15-2.03) high school, parental currently unmarried status (AOR = 1.34, 95%CI = 1.05-1.73), moderate (AOR = 1.19, 95%CI = 1.02-1.39) and severe (AOR = 1.28, 95%CI = 1.06-1.55) family dysfunction. Medium (AOR = 0.48, 95%CI = 0.43-0.53) and high (AOR = 0.34, 95%CI = 0.29-0.40) levels of resilience were protective factors against new-onset sleep disturbance, as well as against persistent sleep disturbance (medium level: AOR = 0.51, 95%CI = 0.43-0.60; high level: AOR = 0.32, 95%CI = 0.25-0.43).

CONCLUSIONS

Interventions aimed at promoting family functions and enhancing resilience may improve sleep disturbance among adolescents.

Insomnia is associated with conspiracy mentality, psychological distress, and psychological well-being

RATIONALE

Conspiracy theories are frequently encountered as they exist across all domains of life, from interpersonal issues in the workplace to global events. Research has primarily focused on uncovering the antecedents of conspiracy beliefs; meanwhile, little research has examined the impacts of possessing a conspiracy mentality.

OBJECTIVE

In the current research, we examined the relationships of conspiracy mentality with perceived control, insomnia, psychological well-being (i.e., positive emotions, engagement, relationships, meaning, and achievement), and psychological distress (i.e., anxiety and depression).

METHODS

Participants (N = 388) reported their conspiracy mentality at Time 1 and then completed measures assessing perceived control, insomnia, psychological well-being, and psychological distress 1 month later at Time 2. We conducted regression analyses, structural equation modeling, and bootstrapping analyses to test our predictions that conspiracy mentality predicts insomnia through thwarted perceived control and that this relationship carries direct implications for psychological well-being and distress.

RESULTS

As predicted, regression analyses showed that conspiracy mentality is negatively associated with perceived control and indicators of psychological well-being, and positively associated with insomnia and indicators of psychological distress 1 month later. The results of structural equation modeling and bootstrapping analyses provided empirical support to our theoretical model that perceived control and insomnia serially mediate the relationship between conspiracy mentality and both psychological well-being and psychological distress.

CONCLUSIONS

These findings offer important contributions to the literature on conspiracy beliefs. Practically, they offer potential routes of intervention to weaken insomnia and psychological distress and enhance psychological well-being.

Attentional Control Accounts for the Association Between Anxiety Sensitivity and Sleep Efficiency in Clinic-Referred Youth

Youth with anxiety disorders report difficulty falling asleep and returning to sleep after sleep onset (i.e., poor sleep efficiency). Anxiety sensitivity, the excessive attention to physical symptoms of anxiety and their threatening interpretations, has been linked to poor sleep efficiency. We tested a conceptual model wherein attentional control, attentional focusing and attentional shifting would account for the relationship between anxiety sensitivity and poor sleep efficiency. 255 youths (6-17 years old, 78% Hispanic/Latino) who presented to a university-based research clinic completed measures on anxiety sensitivity, sleep, and attentional control. Poorer sleep efficiency was significantly correlated with higher anxiety sensitivity and lower attentional control, attentional focusing, and attentional shifting. Higher anxiety sensitivity was significantly correlated with lower attentional control and attentional focusing. Attentional control and attentional focusing, not attentional shifting, accounted for the relationship between anxiety sensitivity and poor sleep efficiency. These findings identify attentional control and attentional focusing as variables that may explain the association between anxiety sensitivity and sleep efficiency in youth.

Prevalence and associated factors of insomnia symptoms among pregnant women in the third trimester in a moderately developing region of China

BACKGROUND

Insomnia is the most common sleep disorder in the general population, especially among pregnant women, and it is considered a major public health issue. Not only can it cause mental and physical problems in pregnant women, but it may also affect the growth of the fetus. However, there are few reports on the prevalence and influencing factors of insomnia symptoms in third-trimester women in China. The objective of this study was to assess the prevalence of insomnia symptoms among pregnant women in the third trimester in a moderately developing region of China and to further explore the associated factors of insomnia symptoms from various aspects.

METHODS

A cross-sectional survey was conducted among eligible pregnant women in the third trimester from December 2022 to February 2023. Data on socio-demographic characteristics, clinical characteristics, and behavioral and psychological characteristics of pregnant women were collected through a structured questionnaire. The Chi-square test and multivariate logistics regression were applied to explore the associated factors of insomnia symptoms.

RESULTS

A total of 535 pregnant women in the third trimester were included in this study, and the prevalence of insomnia symptoms was 59.8%. Multivariate logistic regression analysis revealed that pregnant women who lived together with elders (OR: 0.58, 95% CI: 0.40-0.86), had low perceived stress (OR: 0.58, 95% CI: 0.35-0.97), had no threatened abortion (OR: 0.55, 95% CI: 0.32-0.93) and had good doctor-patient communication (OR: 0.66, 95% CI: 0.45-0.98) were more likely to stay away from insomnia symptoms. However, pregnant women with anxiety symptoms (OR: 2.27, 95% CI: 1.28-4.03), fear of childbirth (OR: 1.63, 95% CI: 1.11-2.40) and a high experience of COVID-19 fear (OR: 1.61, 95% CI: 1.03-2.54) tended to have insomnia symptoms.

CONCLUSIONS

The prevalence of insomnia symptoms in pregnant women is high in Lianyungang city in eastern China in the third trimester. Insomnia symptoms is influenced by multiple factors. There is an urgent need to develop interventions to reduce the prevalence of insomnia symptoms in the third trimester and to focus on pregnant women with risk factors for insomnia symptoms.

Effects of childhood trauma on sleep quality and stress-related variables in adulthood: evidence from two multilevel studies

Childhood trauma has been found to have serious negative consequences for mental and physical health. However, the precise mechanisms through which trauma influences health outcomes are unclear. Childhood trauma-related disruptions to sleep in adulthood represent an important potential mechanism. Two 7-day multilevel studies investigated the effects of childhood trauma on daily sleep outcomes and stress-related variables and whether the effects of trauma on sleep outcomes were mediated through these stress-related variables (or vice versa). Participants completed the Childhood Trauma Questionnaire before a 7-day online daily diary study. Measures of daily stress, perseverative cognition, and sleep were completed daily. Multi-level modelling found that higher levels of childhood neglect were associated with poorer daily sleep quality, shorter sleep duration, longer sleep onset latency, and higher daily stress and rumination levels. Higher childhood abuse was associated with shorter sleep duration, greater morning tiredness, and higher levels of daily stress, rumination, and worry. Childhood trauma was found also to have bidirectional, indirect effects on sleep quality and morning tiredness through daily stress-related variables. The current findings suggest that interventions aimed at mitigating the negative effects of childhood trauma should also incorporate components that target modifiable risk factors, such as sleep, stress, worry, and rumination.

Cognitive Disengagement Syndrome Symptoms from Early Childhood to Adolescence in a Nationally Representative Spanish Sample

OBJECTIVE

The identification of a common set of symptoms for assessing cognitive disengagement syndrome (CDS, formerly sluggish cognitive tempo) for early childhood (ages 5-8), middle childhood (ages 9-12), and adolescence (ages 13-16) is needed to advance research on the developmental psychopathology of CDS (i.e. a common symptom set with comparable internal and external validity for each age group).

METHOD

Parents of a nationally representative sample of 5,525 Spanish children and adolescents (ages 5 to 16, 56.1% boys) completed measures of CDS, attention-deficit/hyperactivity disorder-inattention (ADHD-IN), and other measures.

RESULTS

First, the 15 CDS symptoms showed convergent and discriminant validity relative to the ADHD-IN symptoms within each age group. Second, CDS showed stronger first-order and unique associations than ADHD-IN with anxiety, depression, somatization, daytime sleep-related impairment, and nighttime sleep disturbance, whereas ADHD-IN showed stronger first-order and unique associations than CDS with ADHD-hyperactivity/impulsivity, oppositional defiant disorder, and academic impairment. Third, CDS showed stronger first-order and unique associations than ADHD-IN with a history of having an anxiety, depression, or bipolar disorder diagnosis, whereas ADHD-IN showed stronger first-order and unique associations with having an ADHD diagnosis.

CONCLUSIONS

The identification of a common set of CDS symptoms spanning early childhood to adolescence allows for the advancement of research on CDS, with a particular need now for longitudinal studies and examination of CDS with other functional outcomes and across other cultural contexts.

The effect of cyberbullying victimization and traditional bullying victimization on suicidal ideation among Chinese female college students: The role of rumination and insomnia

BACKGROUND

The issue of college student suicide has emerged as a significant global public health concern. To date, there has been a lack of extensive research on the effects of distinct forms of bullying victimization (traditional bullying victimization and cyberbullying victimization) on suicidal ideation, as well as the differences between them. The present study aimed to investigate the relationship between two forms of bullying victimization and suicidal ideation among female college students, while also considering the potential mediating effects of rumination and insomnia.

METHODS

A total of 2106 female college students from Southern China participated in this study. The participants had a mean age of 19.83 years (SD = 1.04 years). Participants completed the MINI-C questionnaire, School Bullying Behavior Questionnaire, Cyberbullying Inventory (CBI), Ruminative Responses Scale (RRS), and Insomnia Severity Index (ISI). The mediation models were conducted using Model 4 and Model 6 of the Process macro program in SPSS.

RESULTS

The results showed that (1) the mediating effect of rumination in the relationship between different forms of bullying victimization and suicidal ideation was significant; (2) The mediating effect of insomnia in the relationship between traditional bullying victimization and suicidal ideation was not significant; the mediating effect between cyberbullying victimization and suicidal ideation was significant. (3) The chain mediating effect of rumination and insomnia in the relationship between different forms of bullying victimization and suicidal ideation were both significant.

CONCLUSION

This study endeavor represents the first attempt to investigate the relationship between two forms of bullying victimization and suicidal ideation.

Neuroimaging profiles of the negative affective network predict anxiety severity in patients with chronic insomnia disorder: A machine learning study

BACKGROUND

Sleep is instrumental in safeguarding emotional well-being. While the susceptibility to both insomnia and anxiety has been demonstrated to involve intricate brain systems, the neuroimaging profile of chronic insomnia disorder with comorbid anxiety symptoms (CID-A) remains unexplored. Employing machine learning methodologies, this study aims to elucidate the distinct neural substrates underlying CID-A and to investigate whether these cerebral markers can prognosticate anxiety symptoms in patients with insomnia.

METHODS

Functional magnetic resonance imaging (fMRI) data were procured from a relatively large cohort (dataset 1) comprised of 47 CID-A patients, 49 CID patients without anxiety (CID-NA), and 48 good sleeper controls (GSC). Aberrant cerebral functional alterations were assessed through functional connectivity strength (FCS) and resting-state functional connectivity (rsFC). Subsequently, Support Vector Regression (SVR) models were constructed to predict anxiety symptoms in CID patients based on neuroimaging features, which were validated utilizing an external cohort (dataset 2).

RESULTS

In comparison to CID-NA and GSC subjects, CID-A patients exhibited heightened FCS in the right dorsomedial prefrontal cortex (DMPFC), a central hub within the negative affective network. Moreover, the SVR models revealed that DMPFC-related rsFC/FCS features could be employed to predict anxiety symptoms in two independent cohorts of CID patients.

LIMITATION

Modifications in brain functionality might vary across insomnia subtypes.

CONCLUSION

The present findings suggest a potential negative affective network model for the neuropathophysiology of CID accompanied by anxiety. Importantly, the negative affective network pattern may serve as a predictor for anxiety symptoms in CID patients.

Predicting the relationship between anxiety and health-related quality of life in post-stroke patients: The role of sleep duration

OBJECTIVES

Sleep and psychological disorders are common complaints in stroke survivors. The effectiveness of sleep duration in post-stroke on mental well-being and health outcomes has been reported recently. This study aimed to investigate the mediating effect of sleep duration on the relationship between anxiety and health-related quality of life in Chinese post-stroke; MATERIALS AND METHODS: We conducted a quantitative, cross-sectional study with participants recruited through a multistage, stratified, probability proportional to size sampling method. Anxiety, health-related quality of life, and sleep duration were measured by Zung Self-rating Anxiety Scale, World Health Organization Quality of Life Questionnaire, and a self-administered, structured questionnaire. A multiple linear regression analysis was conducted to identify the association between anxiety, sleep duration, and quality of life. The direct and indirect effects of sleep duration on health-related quality of life was assessed using the bootstrap method via Model 4 (parallel mediation) of SPSS PROCESS macro; RESULTS: A total of 856 post-stroke patients participated in the study, and incidence of anxiety symptom amongst post-stroke was 33.53%. Sleep duration mainly plays partial mediating roles in the relationship between mild-to-moderate anxiety and quality of life in physical, psychological, and environment domains, with sleep duration of 7-8h playing a major role; CONCLUSIONS: A significant relationship among anxiety, sleep duration, and quality of life in post-stroke was found in this study. The sleep duration partially mediated the association between anxiety and quality of life. Suitable prevention methods and early interventions for sleep duration may improve the quality of life for post-stroke anxiety.

Serum Zonula Occludens-1 and Claudin-5 Levels in Patients with Insomnia Disorder: A Pilot Study

Purpose

This research aimed to investigate serum Zonula occludens-1 (ZO-1) and Claudin-5 (CLDN5) levels to show whether or not their eventual changes in patients with insomnia disorder could have etiopathogenetic importance. There was no research investigating serum ZO-1 and CLDN5 concentrations in insomnia disorder.

Patients and Methods

This study included 60 insomnia disorder patients and 45 normal controls. None of the patients received drugs for insomnia. The patients completed Insomnia Severity Index (ISI) and Pittsburgh Sleep Quality Index (PSQI), and Polysomnography (PSG) to score the insomnia disorder symptoms. Venous blood samples were collected, and serum ZO-1 and claudin-5 levels were analyzed by enzyme-linked immunosorbent assay (ELISA).

Results

Serum ZO-1 level was significantly higher without a significant difference between age, sex, and body mass index, whereas the difference in serum claudin-5 level between the two groups was not statistically significant. In addition, ZO-1 levels were positively correlated with ISI and PSQI and negatively with N1 and N1_perc. We also demonstrated a positive correlation between the levels of CLDN5 and HAMA, and a negative correlation with total sleep time (TST), N1 and N1_perc.

Conclusion

Our findings suggest an association between these intestinal and brain endothelial permeability markers and insomnia disorders. However, these remain modest and preliminary and need more extensive studies, including long-term follow-up populations and involving gut microbes, to further validate and explore the mechanisms involved.

A bibliometric analysis of insomnia in adolescent

Background

The negative effects of insomnia on adolescents' development, academic performance, and quality of life place a burden on families, schools, and society. As one of the most important research directions for insomnia, adolescent insomnia has significant research value, social value, and practical significance. Unfortunately, there is no bibliometric analysis in this field of study. This study aims to analyze published articles using bibliometrics, summarize the current research progress and hot topics in this field systematically and exhaustively, and predict the future direction and trend of research.

Methods

For this study, the Web of Science Core Collection (WoSCC) database was searched between 2002 and 2022 for publications related to adolescent insomnia. The R-bibliometrix, VOSViewer, and CiteSpace software were utilized for bibliometric analysis.

Results

This investigation included 2468 publications from 3102 institutions in 87 countries, led by China and the United States. This field of research has entered a period of rapid development since 2017. The journal with the most publications on adolescent insomnia is Sleep, which is also the most co-cited journal. American Journal of Psychology has the highest impact factor among the top 10 journals. These papers were written by 10605 authors; notably, Liu Xianchen emerged as the author with the highest frequency of publications, while Mary A. Carskadon was the most frequently co-cited author. Mental health and comorbid diseases were the main research directions in this field. "Depression," "anxiety," "mental health," "COVID-19," "stress," "quality of life," "heart rate variability," and "attention-deficit hyperactivity disorder" were hot spots and trends in this field at the current moment.

Conclusion

The research on adolescent insomnia has social value, research value, and research potential; its development is accelerating, and an increasing number of researchers are focusing on it. This study summarized and analyzed the development process, hot spots, and trends of adolescent insomnia research using bibliometric analysis, which identified the current hot topics in this field and predicted the development trend for the future.

Efficacy of acupuncture or moxibustion in treating senile insomnia compared with a control group: A systematic review and meta-analysis

INTRODUCTION

This systematic review and meta-analysis aimed to assess the efficacy of acupuncture or moxibustion therapy in senile insomnia patients.

METHODS

A comprehensive literature search was conducted using 7 electronic databases to identify randomized controlled trials reported on the use of acupuncture or moxibustion therapy in insomnia. The time frame was set from database establishment to March 11, 2023. The RevMan (version 5.3) and STATA (version 17.0) software were used to evaluate the quality of the included randomized controlled trials and perform a meta-analysis. The methodological quality of the included studies was assessed using the Cochrane risk-of-bias tool. Subgroup analysis was performed based on different intervention methods. The I2 statistic was used to assess heterogeneity among studies.

RESULTS

A total of 20 studies conducted between 2007 and 2022 were included, involving 1677 patients with senile insomnia. In terms of efficacy, acupuncture or moxibustion alone was significantly better than western drugs (RR = 1.12; 95% CI, 1.06-1.20), acupuncture combined with drugs was better than drugs alone (RR = 1.20; 95% CI, 1.12-1.29), and acupuncture combined with cognitive behavior therapy intervention (CBT-I) was significantly better than CBT-I alone (RR = 1.52; 95% CI, 1.07-2.17). In terms of Pittsburgh Sleep Quality Index scores, acupuncture or moxibustion alone was more effective than western drugs (MD = -1.82; 95% CI, -2.37 to -1.26), acupuncture combined with drugs was more effective than drugs alone (MD = -3.10; 95% CI, -4.25 to -1.95), and acupuncture was significantly more effective than sham acupuncture (MD = -4.18; 95% CI, -5.85 to -2.51) and psychological intervention (MD = -3.54; 95% CI, -4.33 to -2.75) in improving sleep quality.

CONCLUSIONS

This meta-analysis revealed that acupuncture or moxibustion alone or combination with other therapies(drugs, CBT-I or psychological intervention) has high clinical efficacy and can improve the sleep quality of patients with senile insomnia. However, further well-designed studies are warranted to verify these findings.

Effect of Sleep Quality on Anxiety and Depression Symptoms among College Students in China's Xizang Region: The Mediating Effect of Cognitive Emotion Regulation

BACKGROUND

While the exact mechanisms are not fully understood, there are significant links between sleep quality, anxiety, depressive symptoms, and cognitive emotion regulation. This research examines how sleep quality affects anxiety and depressive symptoms, as well as the potential of cognitive emotion regulation strategies (CERS) to moderate the impact of sleep quality on these symptoms.

METHODS

The Chinese version of the Pittsburgh Sleep Quality Index (CPSQI), the Cognitive Emotion Regulation Questionnaire (CERQ), the Patient Health Questionnaire-9 (PHQ-9), and the Generalized Anxiety Disorder Scale-7 (GAD-7) were all completed online by students from two colleges in China's Xizang region.

RESULTS

The study included 4325 subjects. The prevalence of poor sleep quality, anxiety symptoms, and depression symptoms was 45.69%, 36.81%, and 51.86%, respectively. We observed significant direct effects on poor sleep and severity of anxiety/depression: c'1 = 0.586 (0. 544-0.628), and c'2 = 0.728 (0.683-0.773). Adaptive CERS only had a mediating effect on the relationship between sleep quality and depression symptoms, with a1b3 = -0.005 (-0.011--0.001). The link between poor sleep quality and the intensity of anxiety and depression was significantly affected by the indirect effects of maladaptive CERS: effect a2b2 = 0.126 (0.106-0.147), and effect a2b4 = 0.145 (0.123-0.167).

CONCLUSIONS

Individuals who experience poor sleep quality are more likely to have increased levels of anxiety and depression. However, enhancing sleep quality led to a decrease in anxiety and depression levels. Adaptive CERS did not predict anxiety, but they did predict depression. Multiple maladaptive CERS could increase levels of anxiety and depression. To prevent mental stress, it is crucial to examine sleep problems among college students, understand their cognitive strategies, promote the adoption of adaptive CERS, and reduce the reliance on maladaptive CERS.

Pharmacological Evaluation of Signals of Disproportionality Reporting Related to Adverse Reactions to Antiepileptic Cannabidiol in VigiBase

Cannabidiol is the first cannabis-derived drug approved for the treatment of Lennox-Gastaut syndrome, Dravet syndrome, and Tuberous Sclerosis Complex. In the current study, we performed a descriptive analysis followed by a disproportionality analysis of potential adverse events caused by CBD extracted from the VigiBase® database. Furthermore, the biological plausibility of the association between CBD and the serotonin 5-HT1A receptor as a possible cause of adverse events was analyzed and discussed. Data were extracted from the VigiBase® database using the VigiLyze® signal detection and signal management tool. Adverse events in VigiBase® reports were coded using MedDRA, version 19 of Preferred Terms (PTs). Data were uploaded into SPSS software and analyzed via a disproportionality analysis. Statistically significant disproportionality signals for CBD were found for "weight decreased" (5.19 (95% CI: 4.54-5.70)), "hypophagia" (3.68 (95% CI: 3.22-5.27)), and "insomnia" (1.6 (95% CI: 1.40-1.83)). Positive IC025 values were found for "weight decreased" (2.2), "hypophagia" (1.3), and "insomnia" (0.5), indicating a surplus of reported cases. CBD's interactions with 5-HT1A serotonin receptors may offer a potential biological explanation for the occurrence of insomnia in patients. It is noteworthy that the risk profiles mentioned in the information for prescribing CBD as an antiepileptic agent by regulatory agencies showed disparities specifically related to the adverse event "insomnia".

Network analysis of emotion regulation and reactivity in adolescents: identifying central components and implications for anxiety and depression interventions

Difficulties in emotion regulation (DER) and emotion reactivity (ER) are important causes and consequences of psychiatric disorders such as depression and anxiety, and previous research suggests that there are many interactions between them. Understanding the structure of their relationship, and which components may play a key role, will help provide insight into emotion disorders in adolescents and provide guidance for clinical interventions. In this study, we collected data from 483 adolescents and used network analysis methods to explore the relationship between DER and ER, specifically looking for core nodes. The results showed that "limited access to emotion regulation strategies" was the most central node in the network. Furthermore, by adding nodes for depression and anxiety to this network, we found that anxiety had the strongest relationship with ER, while depression had a stronger relationship with DER. Thus, our findings suggest that for anxiety disorders, the strong association with ER highlights a potentially promising area for intervention development, whereas for depression, the association with DER points to the possibility of clarifying emotions and exploring coping strategies, acknowledging the complex interplay between depressive and anxious symptoms.

Prospective association between 24-hour movement behaviors and mental health among overweight/obese college students: a compositional data analysis approach

Background

24-h movement behaviors, including light physical activity (LPA), moderate-to-vigorous physical activity (MVPA), screen-based sedentary behavior (SSB), non-screen-based sedentary behavior (NSB) and sleep are crucial components affecting mental health. This study aimed to examine the associations of movement behaviors with mental health outcomes among overweight/obese college students using a compositional data analysis approach.

Methods

Using a prospective design, 437 Chinese college students (20.1 ± 1.7 years, 51.7% female) completed a two-wave online data collection, where demographics and movement behaviors (LPA, MVPA, SSB, NSB, sleep) were collected at baseline, while depression, anxiety and stress were measured at the 2-month follow-up (Apr-Jul 2022). Compositional data analyses were implemented using R.

Results

Depression, anxiety, and stress were negatively associated with time spent in MVPA and sleep (p < 0.001) and positively associated with time spent in SSB and NSB (p < 0.001). Reallocating 15 min to MVPA from LPA, SSB and NSB predicted improvements in depression (LPA: -0.234 unit; SSB: -0.375 unit; NSB: -0.249 unit), anxiety (LPA: -0.092 unit; SSB: -0.284 unit; NSB: -0.165 unit), and stress (LPA: -0.083 unit; SSB: -0.312 unit; NSB: -0.191 unit). For dose-response relationships of 5-55 min isotemporal substitution, when time was reallocated to MVPA from LPA, NSB, and SSB, the estimated detriments to mental health were larger in magnitude than the estimated benefits of time reallocation from MVPA to LPA, NSB, and SSB.

Conclusion

The findings emphasize the importance of participating in MVPA to improve mental health in overweight/obese college students during the post-COVID-19 era. The compositional analysis produced clear targets for the time allocation of these behaviors for future interventions and policymaking.

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.

Network Analysis of Health-related Behaviors, Insomnia, and Depression Among Urban Left-behind Adolescents in China

Mental health of urban left-behind adolescents (LBA) is a public issue of growing concern. This study aims to examine the symptom level associations among multiple health-related behaviors, insomnia, and depression in urban LBA. Data on a sample of urban LBA aged 11-19 (N = 3,601) from the Adolescent Mental Health Survey in Shenzhen, China, were used. Health-related behaviors (i.e., Internet use, physical inactivity, social jetlag, smoking, and alcohol consumption), insomnia, and depressive symptoms were assessed using a self-administered questionnaire. Graphical Gaussian Model (GGM) was used to describe key bridging nodes in an undirected network. Directed Acyclic Graph (DAG) was used to construct a directed network and estimate the most likely causal associations among behaviors/symptoms. In the undirected network, Internet use was identified as the key bridging node most strongly associated with insomnia and depression. Two other key bridging nodes include difficulty initiating sleep and appetite change. In the directed network, anhedonia emerged as the most pivotal symptom, which could cause insomnia symptoms and behavioral changes, either directly, or through triggering other depressive symptoms, such as low energy and appetite change. These findings have implications for understanding the occurrence and maintenance process of health-related behaviors, insomnia, and depression in urban LBA. In practice, Internet use should be considered a priority in targeting multiple health behavior interventions. Meanwhile, early screening and treatment for anhedonia are of great significance as well.

Comparing Bayesian Variable Selection to Lasso Approaches for Applications in Psychology

In the current paper, we review existing tools for solving variable selection problems in psychology. Modern regularization methods such as lasso regression have recently been introduced in the field and are incorporated into popular methodologies, such as network analysis. However, several recognized limitations of lasso regularization may limit its suitability for psychological research. In this paper, we compare the properties of lasso approaches used for variable selection to Bayesian variable selection approaches. In particular we highlight advantages of stochastic search variable selection (SSVS), that make it well suited for variable selection applications in psychology. We demonstrate these advantages and contrast SSVS with lasso type penalization in an application to predict depression symptoms in a large sample and an accompanying simulation study. We investigate the effects of sample size, effect size, and patterns of correlation among predictors on rates of correct and false inclusion and bias in the estimates. SSVS as investigated here is reasonably computationally efficient and powerful to detect moderate effects in small sample sizes (or small effects in moderate sample sizes), while protecting against false inclusion and without over-penalizing true effects. We recommend SSVS as a flexible framework that is well-suited for the field, discuss limitations, and suggest directions for future development.

Aberrant single-subject morphological cerebellar connectome in chronic insomnia

BACKGROUND

To systematically investigate the topological organisation of morphological networks of the cerebellum using structural MRI and examine their clinical relevance in chronic insomnia (CI).

METHODS

One hundred and one patients with CI and 102 healthy controls (HCs) were recruited in this study. Individual morphological networks of the cerebellum were constructed based on regional grey matter volume, and topologically characterised using weighted graph theory-based network approaches. Between-group comparisons were performed using permutation tests, and Spearman's correlation was used to examine the relationships between topological alterations and clinical variables.

RESULTS

Compared with HCs, patients with CI exhibited a lower normalised clustering coefficient. Locally, CI patients exhibited lower nodal efficiency in the cerebellar lobule VIIb and vermis regions, but higher nodal efficiency in the right cerebellar lobule VIIIa regions. No correlations were observed between network alterations and clinical variables.

CONCLUSIONS

Individual morphological network analysis provides a new strategy for investigating cerebellar morphometric changes in CI, and our findings may have important implications in establishing diagnostic and categorical biomarkers.