What this is
- This research examines the relationships between , , , and () in young adults.
- It identifies how and mediate the connection between and .
- The study uses data from 546 participants aged 18-25, collected through standardized scales.
Essence
- and fully mediate the relationship between and in young adults. The mediation model indicates that both factors significantly contribute to the risk of .
Key takeaways
- and serve as mediators between and . The study found an 8.3% effect proportion for and a 91.7% effect proportion for , indicating that plays a more substantial role.
- The findings underscore the importance of addressing both and in interventions aimed at reducing suicidal behaviors among young adults. Effective treatment of these conditions may help mitigate the risk of .
Caveats
- The study's focus on young adults aged 18-25 may limit the applicability of findings to other age groups. Additionally, the potential influence of cannabis use on was not controlled.
- Self-report measures may introduce biases, although efforts were made to ensure participant anonymity and clarity during data collection.
Definitions
- Suicidal Ideation (SI): A desire for death or apathy toward life, which may include specific suicide plans.
- Insomnia: A sleep disorder characterized by difficulty falling or maintaining sleep, leading to inadequate sleep.
- Nightmares: Disturbing dreams during rapid eye movement (REM) sleep that can cause awakening and distress.
- Depression: A series of syndromes characterized by low mood, decreased interest, and loss of pleasure.
AI simplified
Introduction
Suicide is a devastating public health concern with profound personal and social implications in modern society1. As of 2019, more than 700,000 individuals died by suicide annually worldwide1, resulting in nearly $490 billion in medical and quality-of-life costs2. Despite ongoing research into various suicide prevention strategies, suicide rates are on the rise across the globe, and the World Health Organization has declared reducing suicide-related mortality a “global priority”1. Suicide is a complex phenomenon that is not yet completely comprehended, and suicidal ideation (SI) is the earliest stage and most significant risk factor3,4. SI is defined as a desire for death or, at least, an apathy toward life, which a specific suicide plan may accompany5. Therefore, it is essential to identify the factors that influence the emergence of SI.
Multiple factors may cause SI; however, certain sleep disorders (such as insomnia and nightmares) have a unique relationship with SI6. Insomnia is defined by the fifth edition of the American Diagnostic and Statistical Manual of Mental Disorders as a sleep disorder characterized by frequent difficulty falling asleep and/or difficulty maintaining sleep, resulting in inadequate sleep. It is one of the most common forms of sleep disorders in clinical practice7,8. Recent evidence identifies insomnia as a stable, independent predictor of suicide and a prevalent symptom among suicidal individuals5,9. A large adult sleep survey in the United States revealed a significant association between insomnia and SI5,10. In addition to insomnia, nightmares are a risk factor for suicide11,12. Nightmares are disturbing dreams during rapid eye movement (REM) sleep5. Frequent nightmares have been found to increase the risk of suicide by 1.5–3 times13. In a study examining the association between nightmares and suicide in adults, those who reported periodic nightmares had a 57% greater risk of suicide than those without nightmares, and those who reported frequent nightmares had a suicide risk of up to 107%14. In the past decade, nightmares received increasing attention as a potential mediator between insomnia and suicide. It has been reported that insomnia patients are more likely than non-insomnia patients to experience frequent nightmares, and nightmares may play a role in the relationship between insomnia and SI15. In addition, there is evidence that, although nightmares and insomnia symptoms are both associated with SI, they are not causally related16. A limited number of prospective studies have demonstrated that nightmares coincide with mental illness and may also serve as an early indicator of psychotic onset episodes. Chronic and recurrent nightmares are distressing to the individual and associated with varying degrees of depressive symptoms17. Insomnia and SI are also associated with depression18,19. Depression is a series of syndromes with low mood, decreased interest, and loss of pleasure as the core symptoms, which have become the focus of attention because of their high incidence, recurrence rate, and high risk of suicide20. A cross-sectional survey of 583 college students revealed that the relationship between insomnia and SI was fully mediated by depressive symptoms, suggesting that depression may be an additional important factor in developing insomnia and SI16,21.
In conclusion, the present study demonstrates that insomnia, nightmares, and depression are independent of each other that contribute to the manifestation of SI. However, it has not been definitively demonstrated that these factors are interconnected and causally associated with SI. Young adults are particularly vulnerable to the risk of suicide. Although there are notable variations in suicide rates based on factors such as age, gender, and geographical location, this demographic continues to be a primary focus for initiatives aimed at prevention and intervention 22. Therefore, it was hypothesized that nightmares and depression may mediate the relationship between insomnia and SI in young adults. This study aimed to design a mediation model to investigate the association between insomnia, nightmares, depression, and SI among young adults. The findings of this study can potentially contribute to the development of therapeutic interventions aimed at avoiding suicidal behaviors in this population.
Materials and methods
Data sources
The data utilized in this study were gathered from University of Arizona students aged 18–25 years, specifically during May 2020 and May 2021. These data were obtained as part of a Phase I survey to assess the impact of nocturnal sleep/wake effects on the risk of suicide, known as the Assessing Nocturnal Sleep/Wake Effects on Risk of Suicide (ANSWERS) project. Data is gathered through participation in undergraduate psychology courses as well as the distribution of flyers and emails. Prior to completing the survey, participants were required to provide informed consent through an electronic consent framework. The study was approved by the University of Arizona IRB (protocol # 2005675654). The relevant information about the ANSWERS can be accessed at: 10.25822/0vvb-6t89. The NSRR is supported by the National Institutes of Health, National Heart, Lung, and Blood Institute (R24 HL114473, 75N92019R002).
Study methods
Demographic Questionnaire: Sociodemographic variables included age, gender, sexual orientation, race, ethnicity, education level, and annual income. The survey included questions regarding behavioral attributes such as the consumption of alcohol, caffeinated products, cannabis, and current smoking habits.
Insomnia Severity Scale (ISI): This 7-item scale is a simple screening instrument for insomnia. The Likert scale was used to evaluate each item, with scores ranging from 0 to 4, with a maximum score of 28. The higher the score, the more pronounced the symptoms of insomnia, and when the score exceeds 14, clinically significant insomnia is identified. ISI exhibited excellent internal consistency alpha (α) = 0.8423. In this study, the Cronbach α and construct validity were 0.79 and 0.75, respectively.
Disturbing Dream and Nightmare Severity Index (DDNSI): This scale consisted of five questions that assessed self-reflective measures of the frequency and intensity of current nightmares. There are two sections on the frequency and number of nightmares per unit of time and the severity and intensity of nightmare problems. The scale also measures the incidence of nightmare-related awakenings. The score is obtained by measuring the number of nightmares per week, the number of nights with nightmares, the frequency of waking up with nightmares, the severity score, and the intensity score. The total score ranges from 0 to 37, and previous studies have indicated that a score greater than 10 indicates a nightmare disorder24,25. The scale is derived from the Nightmare Frequency questionnaire and revised with a Cronbach α of 0.80, indicating excellent internal consistency26. In this study, the Cronbach α and construct validity were 0.88 and 0.81, respectively.
Centre for Epidemiologic Studies Depression (CESD): The CESD is a 20-question self-report scale. Each item is scored between 0 and 3, with the total score ranging from 0 to 60. With definite depressed symptoms, the overall score exceeds 20. It is an efficient screening tool for detecting depressive symptoms, with α = 0.85 for the general population27. In this study, the Cronbach α and construct validity were 0.77 and 0.92, respectively.
Columbia-Suicide Severity Rating Scale (C-SSRS): The derivation of the C-SSRS was initially conducted by researchers from Columbia University, the University of Pennsylvania, and the University of Pittsburgh3. The U.S. Food and Drug Administration recommends the C-SSRS for clinical studies28, and the U.S. Centers for Disease Control and Prevention have adopted it to describe and categorize suicidal ideation and behavior29. This measure is used to evaluate the past 3 months and lifetime suicidal behavior and SI. The SI contained five items, three related to suicide conduct. All questions had a “0” for “no” and a “1” for “yes” response and the total of the five questions related to suicidal ideation was used to determine the severity of such ideation. In this study, the Cronbach α and construct validity were 0.75 and 0.77, respectively.
Flowchart of the population included in our final analysis.
Statistical analysis
The statistical analyses were performed using IBM SPSS Statistical System, version 22.0 (IBM Corporation in Armonk, New York, USA). The figures were generated with GraphPad 7 (GraphPad Software Company). This study used self-report measures to collect data, which may be susceptible to common methodological biases. To mitigate these biases, appropriate measures were taken during the data collection phase. These measures included ensuring participant anonymity and providing clear instructions to participants regarding the purpose of the study. The Harman Univariate test was used for statistical control before data analysis. Additionally, the items of all variables were subjected to analysis for non-rotating principal component factors. The findings indicate that 23 factors exhibited distinctive roots greater than 1. Furthermore, the extent of variation in the interpretation of the maximum factor was 28.18%, which is less than the cut-off value of 40%. As a result, it can be concluded that the data in this study does not exhibit any significant common method bias.
Initially, the Kolmogorov–Smirnov normality test and Levene’s test for homogeneity of variance were used for all continuous variables. Not all continuous variables had a normal distribution. Age was consistent with homogeneity of variance, using the one-way ANOVA test. Except for age, none of the continuous variables exhibited homogeneity of variance. Therefore, we employed the Mann–Whitney rank sum test to assess the observed differences. For all categorical variables, chi-square tests were used. The Mean ± standard deviation (SD) statistical measures were employed to describe continuous data, whereas frequency and percentage were utilized to depict categorical variables. Furthermore, Spearman’s correlation analysis examined the relationship between DDNSI, ISI, CESD, and C-SSRS scores. Additionally, we conducted a regression analysis between demographics and the outcome variables and selected the most appropriate control variables to reduce the confounding factors in the results. Finally, the mediation role between nightmares and depression in insomnia and SI was investigated using SPSS PROCESS v4.0. ISI was the independent variable, C-SSRS was the dependent variable, DDNSI was the mediator variable 1 (M1), CESD was the mediator variable 2 (M2), and the control variable produced through regression analysis was the covariate. All tests were two-sided, and the level of statistical significance was at p < 0.05.
Ethics approval
All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (University of Arizona) and with the Helsinki Declaration of 1975, as revised in 2000. Informed consent was obtained from all patients for being included in the study. The study was approved by the University of Arizona IRB (protocol # 2005675654).
Informed consent
Data is gathered through participation in undergraduate psychology courses as well as the distribution of flyers and emails. Prior to completing the survey, participants were required to provide informed consent through an electronic consent framework.
Results
Demographics
Differences between psychometric scales between insomnia and non-insomnia groups (n = 546). () Difference in DDNSI (Disturbing Dream and Nightmare Severity Index) total scores between insomnia and no insomnia group. () Difference in total CESD (Centre for Epidemiologic Studies Depression) scores between insomnia and no-insomnia groups. () Differences in C-SSRS (Columbia-Suicide Severity Rating Scale) scores between the insomnia and non-insomnia groups. ***< 0.001. A B C p
| Variables | Over all(n = 546) | Non-insomnia(n = 300) | Insomnia(n = 246) | F/χ2 | p |
|---|---|---|---|---|---|
| Demographic questionnaire | |||||
| Age(years) | 19.61 ±1.33 | 19.50 ± 1.27 | 19.75± 1.38 | 4.75 | *0.03 |
| Gender (%) | 0.13 | 0.715 | |||
| Male | 364 (66.7) | 198 (36.3) | 166 (30.4) | ||
| Female | 182 (33.3) | 102 (18.7) | 80 (14.7) | ||
| Orientation (%) | 1.41 | 0.235 | |||
| Heterosexual | 495 (90.7) | 276 (50.5) | 219 (40.1) | ||
| Other | 51 (9.3) | 24 (4.4) | 27 (4.9) | ||
| Race (%) | 8.12 | 0.15 | |||
| White/Caucasian | 407 (74.5) | 232 (42.5) | 175 (32.1) | ||
| Black/African American | 22 (4.0) | 13 (2.4) | 9 (1.6) | ||
| Native American/Alaska Native | 11 (2.0) | 6 (1.1) | 5 (0.9) | ||
| Multiracial | 28 (5.1) | 9 (1.6) | 19 (3.5) | ||
| Native Hawaiian/Pacific Islander | 1 (0.2) | 1 (0.2) | 0 (0.0) | ||
| Asian American | 77 (14.1) | 39 (7.1) | 38 (7.0) | ||
| Ethnicity (%) | 2.13 | 0.144 | |||
| Non- Hispanic | 364 (66.7) | 208 (38.1) | 156 (28.6) | ||
| Hispanic | 182 (33.3) | 92 (16.8) | 90 (16.5) | ||
| Education (%) | 0.27 | 0.604 | |||
| College or more | 26 (4.8) | 13 (2.4) | 13 (2.4) | ||
| High school or less | 520 (95.2) | 287 (52.6) | 233 (42.7) | ||
| Income (%) | 4.93 | 0.177 | |||
| < 25,000 dollars | 345 (63.2) | 185 (33.9) | 160 (29.3) | ||
| 25,000–200000dollars | 44 (8.1) | 25 (4.6) | 19 (3.5) | ||
| > 200000dollars | 13 (2.4) | 11 (2.0) | 2 (0.4) | ||
| No report | 144 (26.4) | 79 (14.5) | 65 (11.9) | ||
| Behavior characteristics | |||||
| Drink alcohol (%) | 3.04 | 0.081 | |||
| No | 233 (42.7) | 118 (21.6) | 115 (21.1) | ||
| Yes | 313 (57.3) | 182 (33.3) | 131 (24.0) | ||
| Drink caffeinated products (%) | 0.12 | 0.727 | |||
| No | 56 (10.3) | 32 (5.9) | 24 (4.4) | ||
| Yes | 490 (89.7) | 268 (49.1) | 222 (40.7) | ||
| Use marijuana/cannabis (%) | 0.16 | 0.692 | |||
| No | 404 (74.0) | 224 (41.0) | 180 (33.0) | ||
| Yes | 142 (26.0) | 76 (13.9) | 66 (12.1) | ||
| Current smoking (%) | 1.78 | 0.183 | |||
| No | 465 (85.2) | 261 (47.8) | 204 (37.4) | ||
| Yes | 81 (14.8) | 39 (7.1) | 42 (7.7) | ||
| DDNSI scores | 4.77 ± 5.85 | 3.63 ± 4.80 | 6.15 ± 6.68 | 4.53 | < 0.001*** |
| CESD scores | 17.77 ± 10.73 | 13.67 ± 8.76 | 22.76 ± 10.80 | 9.75 | < 0.001*** |
| C-SSRS scores | 0.48 ± 1.01 | 0.29 ± 0.74 | 0.71 ± 1.23 | 4.39 | < 0.001*** |
Correlation analysis
| Variables | ISI scores | DDNSI scores | CESD scores | C-SSRS scores |
|---|---|---|---|---|
| ISI scores | 1 | |||
| DDNSI scores | 0.27** | 1 | ||
| CESD scores | 0.50** | 0.29** | 1 | |
| C-SSRS scores | 0.24** | 0.15** | 0.49** | 1 |
Regression analysis
| R2 | F | B | β | t | p | ||
|---|---|---|---|---|---|---|---|
| C− SSRS scores | Age | 0.04 | 3.15 | − 0.05 | − 0.04 | − 0.94 | 0.35 |
| Gender | − 0.15 | − 0.05 | − 1.14 | 0.255 | |||
| Orientation | 0.84 | 0.17 | 3.91 | < .001*** | |||
| Education | 0.12 | 0.02 | 0.4 | 0.688 | |||
| Income | − 0.06 | − 0.05 | − 1.21 | 0.227 | |||
| Drink alcohol | − 0.04 | − 0.02 | − 0.32 | 0.753 | |||
| Use marijuana/cannabis | 0.14 | 0.04 | 0.91 | 0.362 |
Mediation analysis
Mediation model of nightmares and depression between insomnia and suicidal ideation Figure (The solid lines are the paths with significant path coefficients, and the dashed lines are the non-significant paths).
| Regression equation | Overall fit index | Regression coefficient | |||||
|---|---|---|---|---|---|---|---|
| Outcome variables | Predictor variables | R | R2 | F | B | t | 95%CI |
| Model 1 (DDNSI) | Orientation | 0.28 | 0.08 | 22.24 | 0.09 | 1.29 | (− 0.05, 0.23) |
| ISI | 0.27 | 6.43*** | (0.18, 0.35) | ||||
| DDNSI | – | – | – | ||||
| CESD | – | – | – | ||||
| Model 2 (CESD) | Orientation | 0.53 | 0.28 | 70.19 | 0.11 | 1.73 | (− 0.01, 0.23) |
| ISI | 0.45 | 11.96*** | (0.38, 0.53) | ||||
| DDNSI | 0.16 | 4.21*** | (0.09, 0.23) | ||||
| CESD | – | – | – | ||||
| Model 3 (C− SSRS) | Orientation | 0.5 | 0.25 | 45.51 | 0.21 | 3.36** | (0.09, 0.34) |
| ISI | − 0.01 | − 0.25 | (− 0.10, 0.07) | ||||
| DDNSI | 0.01 | 0.24 | (− 0.07, 0.09) | ||||
| CESD | 0.47 | 10.84*** | (0.39, 0.56) | ||||
| Model 4 (C− SSRS) | Orientation | 0.29 | 0.08 | 24.44 | 0.27 | 3.89*** | (0.13, 0.41) |
| ISI | 0.23 | 5.51*** | (0.15, 0.31) | ||||
| DDNSI | – | – | – | ||||
| CESD | – | – | – | ||||
| Effect | BootSE | BootLLCI | BootULCI | Relative proportion (%) | |
|---|---|---|---|---|---|
| Total indirect effect | 0.24 | 0.04 | 0.17 | 0.31 | |
| ISI → DDNSI → C-SSRS | 0 | 0.01 | − 0.02 | 0.03 | – |
| ISI → CESD → C-SSRS | 0.22 | 0.03 | 0.15 | 0.29 | 91.7 |
| ISI → DDNSI → CESD → C-SSRS | 0.02 | 0.01 | 0.01 | 0.04 | 8.3 |
Discussion
To the best of our knowledge, this is the first study to examine the mediation association between nightmares and depression in insomnia and SI in a general youth population. This mediation model has not been verified in previous studies. The findings of this study confirm that insomnia causes SI through nightmares and depression as mediators. This effect of mediation includes two pathways. We found for the first time an 8.3% effect proportion for a linkage mediation effect of nightmares and depression between insomnia and SI. Secondly, we observed that the depression’s sole mediator effect was the largest at 91.7%. These findings provide a deeper understanding of the risk factors and intrinsic mechanisms underlying insomnia-mediated SI in youth, enabling us to prevent suicidal behavior more effectively.
Our primary findings suggest that nightmares and depression play a linkage role between insomnia and SI, although relatively weak, but nonetheless significant. The chain mediation effect of nightmares and depression may be due to abnormal hypothalamic–pituitary–adrenal axis (HPAA) activity from a biological perspective. Both animal and human studies indicate that insomnia causes HPAA hyperactivity46 and elevated levels of adrenocorticotropic hormone (ACTH) secreted by the pituitary gland. ACTH is an intraneural secretion that corresponds to the sympathetic nervous system and hyperarousal states47. Increasing activity in the HPAA axis promotes the fragmentation of REM sleep47,48, and nightmares may be a consequence of REM sleep fragmentation16. Insomnia increased the likelihood of having nightmares, which were substantially linked to an increase in depression49. Depression is characterized by pervasive disruption of the brain’s functional networks50,51. According to magnetic resonance imaging findings, orbital frontal cortex (OFC) and anterior cingulate cortex (ACC) in the prefrontal cortex (PFC), putamen and caudate in the hippocampus and amygdala52, and frontal-ACC-striatal circuit defects may underlie the biological mechanism of depression. Decision-making, and emotional regulation could be SI’s vulnerability factors53. The OFC is a subregion of the PFC that is a key region for emotion and impulse regulation, including the evaluation of decision actions and stimuli54, and its reduced volume and thickness may result in impaired emotion regulation, resulting in poor decision-making and impulsivity55,56. As a connection between the prefrontal cortex and the limbic striatal system, the ACC is associated with regulating impulsive behavior57. Despite the fact that not all SI is impulsive, impulsivity may be an indicator of suicide risk in patients with mental disorders58,59. As a component of the striatum, the putamen is frequently associated with motor skills and is involved in the process of reward60,61. In a depressed state, abnormalities in the putamen may result in decisions based on imminent rewards, thereby promoting suicidal impulses.
According to suicide research, suicide risk factors are more complex. In addition to biological factors, the interpersonal-psychological theory of suicide is one of the most prominent theories regarding suicidal behavior62. It is assumed that a frustrated sense of belonging and a burdensome perception contribute to SI63. A recent qualitative study showed that individuals with chronic insomnia accumulated negative effects during work and social activities, which may lead them to perceive themselves as a burden27. This negative-oriented perception (especially before bedtime) fosters negative dream content and thereby increases the likelihood of having nightmares, which is regarded as a key nightmare trigger64. Long-lasting nightmares can cause loss of control, depression, and even despair27. In a recent online cross-sectional survey, prolonged periods of negative affect played an important role in the association between nightmares and suicidal behavior17,65–67. Thus, we propose that insomnia increases the frequency of nightmares by increasing feelings of loneliness and frustrated belonging, resulting in negatively mediated SI.
Our secondary findings indicate that depression is a significant single mediator of insomnia and SI. Increasing evidence suggests that insomnia may increase the inflammatory cytokine interleukin-6 (IL-6) expression by enhancing nuclear factor-kappa B (NF-kB) activation and β-Adrenergic signaling68,69. A significant correlation exists between elevated inflammatory markers caused by insomnia and the subsequent development of depressive symptoms70. The depletion of peripheral tryptophan, the precursor to serotonin (5-HT), has been linked to IL-6-induced short-term mood alterations resembling depression, according to studies71,72. According to the monoamine deficiency theory, 5-HT deficiency in the central nervous system is the underlying pathophysiological cause of depression73. 5-HT is a monoamine neurotransmitter that is broadly distributed in the brain and is closely linked with the regulation of information processing and emotional behavior74. Insomnia also causes chronic changes in the sensitivity and density of the presynaptic 5-HT transporter and postsynaptic 5-HT receptors, resulting in a decrease in 5-HT levels in the brain75,76. Previous research has linked insufficient or impaired serotonin activity to suicidal behavior, and the association of low serotonin with depression, impulsivity, and aggression may explain this relationship77,78.
Lastly, the mediation effect proportion analysis revealed a statistically significant difference between the two paths’ effect proportions. Depression had the highest proportion (91.7%), and the effect of nightmares as a mediator between depression and nightmares was comparatively small (8.3%). This may be determined by the disease’s prevalence. According to numerous epidemiological studies, depression is the most common psychiatric disorder co-occurring with insomnia, afflicting 40% of insomnia patients79. Comorbidity rates of nightmares and depression were higher only in patients with PTSD and borderline personality disorder80,81, indicating that the related mediation of nightmares and depression was relatively low in our study’s population. Although lower than the path of depression, it is still a developmental trend, suggesting that we should pay attention to the relationship between nightmares and depression.
There are a number of limitations to this investigation. First, our current study focused on young adults between the ages of 18 and 25, which may limit the study’s applicability to other age groups. However, because the risk of suicidal behavior between these ages is so high82, we chose to concentrate on this population. Second, we did not exclude marijuana smokers from this study because the frequency of use rather than the exact number reported in the database makes it impossible to determine the exact amount. In addition, the prevalence of cannabis use has increased since 1980 and varies geographically83, so we have no control over cannabis use. Studies have shown that race and cultural issues can influence suicidal ideation and behavioral risk among emerging adults and college students82; however, we did not control the race of the included group, which may have affected our findings.
Conclusion
This study is the first to demonstrate that nightmares and depression together mediated the relationship between insomnia and SI. In addition to playing a separate function in insomnia and SI, depression may also have a mediating effect with nightmares. Assessment and treatment of nightmares and depressed mood may have important implications for preventing suicidal behavior in young adults. Health professionals should take appropriate preventive measures.