Explaining alcohol use and suicide risk: a moderated mediation model involving insomnia symptoms and gender

Sleep disturbance, suicidal ideation and psychosis-risk symptoms in individuals at clinical high risk for psychosis

Insomnia and suicidal ideation (SI) are common in schizophrenia, including in individuals at clinical high-risk for psychosis (CHR-P). Previous studies have found associations between sleep disturbance, SI, and psychopathology in schizophrenia. We explored these associations in a CHR-P cohort. We leveraged data from CHR-P individuals in the North American Prodrome Longitudinal Studies (NAPLS-3) (n = 688) cohort. We investigated relationships between sleep disturbance (Scale of Prodromal Symptoms [SOPS]; Calgary Depression Scale for Schizophrenia [CDSS], and the Pittsburgh Sleep Quality Index [PSQI]), suicidal ideation (CDSS), and psychosis-risk symptoms. The prevalence of terminal insomnia, sleep disturbance, and SI in NAPLS3 was 25 %, 69 %, and 29 %, respectively. After controlling for potential confounders, multiple indices of sleep disturbance (SOPS, PSQI: OR = 1.05-1.40) were significant indicators of concurrent SI. Terminal insomnia was not associated with conversion to psychosis. Multiple indices of sleep problems were associated with higher total and subscale psychosis-risk symptom scores (β = 0.09-0.39). Sleep problems are prevalent and associated with SI and more severe psychosis-risk symptoms in CHR-P individuals. These findings underscore the importance of designing longitudinal intervention studies to investigate whether the treatment of sleep disturbances may reduce suicidality and symptoms in this population.

The relationships between insomnia, nightmares, and dreams: A systematic review

Insomnia and nightmares are both prevalent and debilitating sleep difficulties. The present systematic review aims to document the relationships between insomnia and nightmares in individuals without a concomitant psychopathology. The relationships between insomnia and dreams are also addressed. PsycINFO and Medline were searched for papers published in English or French from 1970 to March 2023. Sixty-seven articles were included for review. Most results support positive relationships between insomnia variables and nightmare variables in individuals with insomnia, individuals with nightmares, the general population, students, children and older adults, and military personnel and veterans. These positive relationships were also apparent in the context of the COVID-19 pandemic. Some psychological interventions, such as Imagery Rehearsal Therapy, might be effective in alleviating both nightmares and insomnia symptoms. Regarding the relationships between insomnia and dreams, compared with controls, the dreams of individuals with insomnia are characterized by more negative contents and affects. The results show that insomnia and nightmares are connected and may be mutually aggravating. A model is proposed to explain how insomnia might increase the likelihood of experiencing nightmares, and how nightmares can in turn lead to sleep loss and nonrestorative sleep.

Nightmares share genetic risk factors with sleep and psychiatric traits

Nightmares are vivid, extended, and emotionally negative or negative dreams that awaken the dreamer. While sporadic nightmares and bad dreams are common and generally harmless, frequent nightmares often reflect underlying pathologies of emotional regulation. Indeed, insomnia, depression, anxiety, or alcohol use have been associated with nightmares in epidemiological and clinical studies. However, the connection between nightmares and their comorbidities are poorly understood. Our goal was to examine the genetic risk factors for nightmares and estimate correlation or causality between nightmares and comorbidities. We performed a genome-wide association study (GWAS) in 45,255 individuals using a questionnaire-based assessment on the frequency of nightmares during the past month and genome-wide genotyping data. While the GWAS did not reveal individual risk variants, heritability was estimated at 5%. In addition, the genetic correlation analysis showed a robust correlation (rg > 0.4) of nightmares with anxiety (rg = 0.671, p = 7.507e-06), depressive (rg = 0.562, p = 1.282e-07) and posttraumatic stress disorders (rg = 0.4083, p = 0.0152), and personality trait neuroticism (rg = 0.667, p = 4.516e-07). Furthermore, Mendelian randomization suggested causality from insomnia to nightmares (beta = 0.027, p = 0.0002). Our findings suggest that nightmares share genetic background with psychiatric traits and that insomnia may increase an individual's liability to experience frequent nightmares. Given the significant correlations with psychiatric and psychological traits, it is essential to grow awareness of how nightmares affect health and disease and systematically collect information about nightmares, especially from clinical samples and larger cohorts.

Psychometric properties of the Disturbing Dream and Nightmare Severity Index-Korean version

STUDY OBJECTIVES

This study aimed to examine psychometric properties of the Disturbing Dream and Nightmare Severity Index (DDNSI) in individuals aged between 18 and 39.

METHODS

All participants (n = 674) were asked to complete the DDNSI, including the modified Nightmare Effects Survey. Additionally, 109 participants were tested for test-retest reliability after 3 months. Among our sample, 229 (33.9%) reported having at least 1 nightmare per month.

RESULTS

Internal consistency was evaluated for the total sample (Cronbach's α = .920) and separately for individuals reporting more than once per month (Cronbach's α = .755). Test-retest reliability after 3 months was .705. Convergent validity of the DDNSI with Nightmare Effects Survey was also satisfactory (r = .638, P < .001). Finally, exploratory factor analysis was conducted to explore the construct of the DDNSI, and results indicated that it consisted of 2 factors, nightmare frequency and nightmare distress [χ²(df) = 2.241(1) ∆χ² (∆df) = 155.575(4), Tucker-Lewis incremental fit index = .980, root mean square error of approximation (90% confidence interval) = .074 (0, .208), standardized root-mean-square residual = .011].

CONCLUSIONS

The DDNSI is a reliable measure of nightmare severity that can be used in various settings.

Insomnia and suicidal ideation in nonaffective psychosis

Study Objectives

Insomnia is a common symptom in the clinical course of schizophrenia. There is a robust association between insomnia and suicidality in other psychiatric disorders. Two previous studies found associations between insomnia and suicide attempt or completed suicide in patients with schizophrenia. We hypothesized that greater insomnia would be associated with greater levels of suicidal ideation in patients with schizophrenia and other nonaffective psychoses.

Methods

We recruited 108 inpatients and outpatients age 18-65 between July 2010 and July 2016 with DSM-IV nonaffective psychosis (schizophrenia, schizoaffective disorder, or schizophreniform disorder). We investigated relationships between current insomnia (Insomnia Severity Index [ISI]), suicidal ideation over the past week, and lifetime history of suicide attempt (Beck Scale for Suicide Ideation [BSS]) in regression analyses.

Results

After controlling for potential confounders, insomnia was a significant indicator of suicidal ideation (β = 0.27, p = 0.032). Insomnia was also a significant indicator of a high BSS score (≥16; OR = 1.14, 95% CI: 1.01-1.28, p = 0.029). Furthermore, participants with severe insomnia were almost 15 times more likely to have a lifetime history suicide attempt than participants without current insomnia (OR = 14.8, 95% CI: 1.4-157, p = 0.025). Insomnia was also an indicator of greater PANSS total (β = 0.33, p = 0.001), positive subscale (β = 0.32, p = 0.002), and general subscale (β = 0.40, p < 0.001) scores.

Conclusions

Insomnia is associated with suicidal ideation, lifetime suicide attempt, and greater psychopathology in patients with schizophrenia. Our findings suggest that formal assessment of insomnia may be germane to the clinical care of patients with schizophrenia as a marker of suicide risk and symptom severity.

Insomnia in personality disorders and substance use disorders

The relationship between certain personality disorders (PDs) and insomnia has been the object of few studies in recent years. Even though it is not indicated to use polysomnography to diagnose insomnia, objective measures have shown sleep abnormalities in individuals with a personality disorder and insomnia. Interestingly, there is increasing evidence that emotion dysregulation is involved in a mutually aggravating relationship between Borderline Personality Disorder (BPD) and insomnia. While BPD traits are highly associated with suicide ideation and attempts, these behaviors could be potentiated or enhanced in individuals presenting sleep disturbances. Because BPD and other mental disorders are often linked with the use of medication or other substances, it is also important to review the association between substance use disorders (SUD) and insomnia. SUD can disrupt sleep and foster insomnia, which in turn might increase motivation to use substances. Insomnia has also been shown to precede (i.e., predict) SUD, and can be present during withdrawal as well. These results highlight the need to assess and treat insomnia when working with patients who present a PD or SUD.

Identifying suicide risk among college students: A systematic review

Mental health research highlights the need to focus on suicide risk in college students. However, evidence for associated risk and protective factors in this cohort is mixed. This review synthesizes data from 29 independent studies (N = 11,557 participants). Self-reported depression, cumulative stressful life events, sleep difficulties, a disconnection from others, and a sense of hopelessness demonstrated significant associations with heightened suicide risk. Reasons to live and hope provided significant protective effects. The findings highlight key intervention targets, pointing to the importance of cognitive-behavioral interventions to ameliorate suicidal thoughts but also build dispositional hope and goal-directed thinking.

Sedentary behavior and anxiety-induced sleep disturbance among 181,093 adolescents from 67 countries: a global perspective

OBJECTIVES

Sleep problems are burdensome in adolescents. Understanding modifiable environmental risk factors is essential. There is evidence that physical activity is protective against sleep problems in adolescents. However, the association between sedentary behavior (SB) and anxiety-induced sleep disturbance has not been investigated.

METHODS

Using cross-sectional data from the Global school-based Student Health Survey, we explored the association between SB and anxiety-induced sleep disturbance in 181,093 adolescents [mean (standard deviation, SD) age 13.7 (1.0) years; 48.4% girls] from 67 countries, controlling for confounders (including physical activity). Adolescents reported anxiety-induced sleep disturbance during the past 12 months, and SB, which was a composite variable assessing time spent sitting and watching television, playing computer games, talking with friends during a typical day excluding the hours spent sitting at school and doing homework. Multivariable logistic regression analysis was conducted and a countrywide meta-analysis undertaken.

RESULTS

Overall, 7.8% of adolescents had anxiety-induced sleep disturbance. The prevalence of SB was: <1 h/day 39.9%; 1-2 h/day 33.8%; 3-4 h/day 15.4%; 5-8 h/day 7.4%; and >8 h/day 3.6%. Compared to <1 h/day of SB, >8 h/day was associated with a 2.27 [95% confidence interval (CI) = 1.98-2.62] times higher odds for anxiety-induced sleep disturbance. The association was similar among both sexes. The pooled odds ratio for anxiety-induced sleep disturbance when being sedentary ≥3 h/day was 1.42 (95% CI = 1.36-1.48) with only a small degree of between-country heterogeneity (I² = 41.4%).

CONCLUSIONS

Future longitudinal data are required to confirm/refute the findings to inform public interventions which aim to reduce anxiety and sleep disturbance in adolescents.

Alcohol use disorders and insomnia mediate the association between PTSD symptoms and suicidal ideation in Korean firefighters

BACKGROUND

There has been a strong association between posttraumatic stress disorder (PTSD) and suicidal ideation, which are both major mental health concerns in firefighters. Alcohol use disorders (AUDs) and insomnia are linked with both PTSD and suicidal ideation, but no studies have examined whether the relationship between PTSD and suicidal ideation can be explained by AUDs and insomnia. The purpose of this study was to investigate the mediating role of AUDs and insomnia in the relationship between PTSD symptoms and suicidal ideation.

METHODS

A total of 7190 Korean firefighters filled out self-reported questionnaires to assess the number of exposure to incident stressors and the severity of PTSD symptoms, suicidal ideation, AUDs, and insomnia. Hierarchical multivariable linear regression analyses were performed to identify the relationship of AUDs and insomnia with suicidal ideation. Path analyses were applied to investigate the mediation effects of AUDs and insomnia on the relationship between PTSD symptoms and suicidal ideation.

RESULTS

AUDs and insomnia showed significant associations with suicidal ideation, even after adjusting for demographic factors, number of traumatic events, and PTSD symptoms. The relationship between PTSD symptoms and suicidal ideation was partially mediated by AUDs and insomnia. AUDs also had both direct and indirect effects on suicidal ideation, with the indirect effect mediated by insomnia.

CONCLUSIONS

We presented a model in which AUDs and insomnia mediate the relationship between PTSD symptoms and suicidal ideation in firefighters. Efforts to treat AUDs and alleviate insomnia could be beneficial in minimizing suicidal ideation in firefighters.

Mapping the relationship between anxiety, anhedonia, and depression

INTRODUCTION

Anxiety and depression are often comorbid conditions, but there is uncertainty as to how this comorbidity develops. Thus, in three studies, we attempted to discern whether anhedonia may be a key linking factor between anxiety and depression.

METHODS

Three studies asked participants about their symptoms of anxiety and depression: in Study 1, 109 participants completed measures of anxiety, depression, activity avoidance, and perceived enjoyability and importance of avoided activities; in Study 2, 747 participants completed measures of anhedonia, anxiety, depression, and defensiveness; in Study 3, 216 participants completed measures assessing the same constructs as in Study 2 at four time-points (ranging 11 months in span).

RESULTS

In Study 1, symptoms of anxiety and depression were positively related only in individuals who relinquished potential enjoyment due to their anxiety-related avoidance; in Study 2, the indirect effect of anhedonia helped explained how anxiety symptoms imparted risk onto depressive symptoms; and in Study 3, anxiety led to anhedonia and then depression over time and anhedonia led to anxiety and then depression at both 5 and 11 months.

LIMITATIONS

The manuscript is limited by the use of a student sample in study 2, cross-sectional methods in studies 1 and 2, and reliance on self-ratings.

CONCLUSIONS

Anxiety may devolve into depression through anhedonia, such that anxious individuals begin to lose pleasure in anxiety-provoking activities, which results in the development of other depressive symptoms.