Skip to main content

Nightmares in the general population: identifying potential causal factors



Nightmares are inherently distressing, prevent restorative sleep, and are associated with a number of psychiatric problems, but have rarely been the subject of empirical study. Negative affect, linked to stressful events, is generally considered the key trigger of nightmares; hence nightmares have most often been considered in the context of post-traumatic stress disorder (PTSD). However, many individuals with heightened negative affect do not have nightmares. The objective of this study was to identify mechanistically plausible factors, beyond negative affect, that may explain why individuals experience nightmares.


846 participants from the UK general population completed an online survey about nightmare occurrence and severity (pre-occupation, distress, and impairment), negative affect, worry, depersonalisation, hallucinatory experiences, paranoia, alcohol use, sleep duration, physical activity levels, PTSD symptoms, and stressful life events. Associations of nightmares with the putative predictive factors were tested controlling for levels of negative affect. Analyses were also repeated controlling for levels of PTSD and the recent occurrence of stressful life events.


Nightmare occurrence, adjusting for negative affect, was associated with higher levels of worry, depersonalisation, hallucinatory experiences, paranoia, and sleep duration (odds ratios 1.25–1.45). Nightmare severity, controlling for negative affect, was associated with higher levels of worry, depersonalisation, hallucinatory experiences, and paranoia (R 2s: 0.33–0.39). Alcohol use and physical activity levels were not associated with nightmares.


The study identifies a number of potential predictors of the occurrence and severity of nightmares. Causal roles require testing in future longitudinal, experimental, and treatment studies.


Nightmares are highly dysphoric dreams involving intense negative emotions which primarily present during late-night rapid eye movement (REM) sleep [1]. About one in 20 of the general population experiences nightmares every week [2]. In contrast, estimates of the prevalence of nightmares are far higher for psychiatric populations. For example, frequent nightmares occur in about three-quarters of patients with PTSD [3], about half of patients with borderline personality disorder [4], and at least 10% of patients with schizophrenia [5, 6]. Nightmares are associated with increased psychological distress, self-harm, and suicidal behaviour [4, 7, 8]. A small number of prospective studies indicate that nightmares not only co-occur with psychiatric disorders, but may also be early indicators of the onset of psychotic experiences [9, 10], post-traumatic stress disorder (PTSD) [11] and sleep disturbances [12]. Nightmares often arise following exposure to a traumatic event [13]; they have, therefore, most often been considered in the context of PTSD [14, 15] and are one of the core clinical symptoms of the disorder [16]. Similarly, milder forms of waking life stressors have also been found to precipitate the occurrence of nightmares [17]. For example, research has indicated that a stressful event (e.g. exam stress, natural disasters and death of significant other) can be a cause of more frequent nightmares [17,18,19]. Negative affect more broadly is also considered a key trigger of nightmares [20], for example, Li et al. [2] found that mood disorders were associated with frequent nightmares (OR 15.57, 95% CI 3.77–64.37) adjusting for a range of potential confounders. Given, however, that many individuals can experience stressors and negative affect without experiencing nightmares, our aim was to identify factors, independent of negative affect (defined as symptoms of anxiety and depression), that may predict the occurrence and severity of nightmares. In this paper, we focus on psychological, psychiatric, and behavioural factors that could plausibly contribute to the triggering of nightmares.

Cognitive style

Worry is a cognitive style characterised by repetitive negative thinking about future events. It brings fearful and sometimes implausible ideas to mind and keeps them there [21, 22]. Whilst worry is certainly associated with negative affect [23, 24] it may be that nightmares are not accounted for entirely by affect alone. Instead, it is proposed that these repetitive and negatively oriented cognitions (particularly in the pre-sleep period) feed negative dream content, and hence increase the chances of nightmares. This is in line with the continuity hypothesis of dreaming that states dreams reflect waking life experiences, thereby capturing the daytime concerns of the dreamer [25]. It is further proposed that worry not only increases the likelihood of nightmare occurrence but also exacerbates nightmares severity by increasing the daytime preoccupation and distress associated with nightmare experiences, thereby increasing the impairment.

It is, therefore, plausible that a cognitive style such as worry may be a potential causal factor in triggering nightmares and exacerbating nightmare severity, over and above negative affect alone.


Dissociative experiences such as depersonalisation are relatively common in the general population [26]. One theory is that dissociation arises as a psychological escape (i.e. affect shutdown) triggered by trauma [27]. The shutdown in affect results in a dampening of sympathetic nervous system output and reduced emotional experiencing, mediated by cognitive control mechanisms in frontal brain areas that suppress limbic activity [28, 29]. During REM sleep these frontal areas are relatively de-activated, preventing regulation of the limbic system [30]. This indicates that nightmares may reflect a rebound of suppressed emotional experiences, since psychological escape during sleep is no longer possible.

One influential theory proposes that the dreaming process functions to accomplish fear extinction by exposing the dreamer to the feared stimuli in a safe and an ‘ever-changing sequence of contexts’ [14]. Nightmares, in contrast, would represent a failure of fear memory extinction since the dreaming process is disrupted by awakening from too intense emotional distress. This disruption of the dreaming process will ultimately keep the fear memory alive since fear memory extinction cannot be accomplished and hence increase the likelihood of future nightmare occurrence. It is proposed that the continued avoidance of distressing emotional experiences throughout the day and night will not only increase the likelihood of nightmare occurrence but also increase nightmare severity by increasing the distress. In a study of 116 people in the general population, frequent nightmares were associated with greater levels of dissociation, with nightmare distress having a stronger association with dissociation than nightmare frequency [31].

Psychotic-like experiences

There are several plausible routes by which nightmares and psychotic experiences may be associated. First, the content of distressing daytime psychotic experiences (i.e. paranoid thoughts and hallucinatory experiences) may be re-experienced during dreams in line with the continuity hypothesis of dreaming [32]. If dreaming about distressing daytime experiences becomes too emotionally intense, the dreamer will likely awaken resulting in a nightmare occurrence. This theory is supported by a recent, case-series of imagery rehearsal therapy (IRT) for nightmares, in which a clinical sample of individuals experiencing psychosis indicated that paranoia and auditory hallucinations reappear during nightmares [33]. Second, dreams and hallucinations in particular are phenomenologically similar: both are characterised by vivid and sensory-rich experiences and a lack of meta-cognitive awareness pointing to similar brain activation patterns during both states [e.g. 34]. Those prone to hallucinations may, therefore, also be particularly prone to frequent dreams and hence at greater risk for nightmares. In addition, low levels of attentional top-down control may result in a rapid, uncritical acceptance of unusual experiences as real and important. It is likely that these same processes are at play in response to nightmare experiences and drive subsequent appraisals. For example, rather than appraising distressing nightmare content as “just a dream”, they may be appraised with a persecutory interpretation such as “the devil sending me a message” or other delusional framework, for example “my dreams predict the future”. Such appraisals likely exacerbate nightmare severity (i.e. preoccupation, distress and impairment in functioning).

Initial research indicates a high prevalence of nightmares in patients with current psychotic experiences [6]. In a student sample, nightmare-related distress and frequency were associated with levels of paranoia and hallucinatory experiences (Spearman’s rho ranged between 0.18 and 0.21) [35] and in a large epidemiological sample, nightmares were longitudinally associated with psychotic experiences (OR 1.62, 95% CI 1.19–2.20) [10]. However, these previous studies have not controlled for other plausible explanatory variables which may account for the association between nightmares and psychotic experiences, specifically negative affect, PTSD symptoms, and stressful life events.

Behavioural patterns

As nightmares appear during late-night REM sleep, factors influencing this specific sleep stage might increase or decrease the opportunity for nightmares to occur. We highlight three behavioural patterns: alcohol, daytime activity, and sleep duration. Ethanol increases light sleep and amounts of late-night REM sleep [36,37,38]. Mechanistically, there is evidence that ethanol-induced REM sleep suppression during the first half of the sleep period causes REM sleep rebound in the second half of the night [39] and therefore, longer and more vivid dreams [40] increase the opportunity for nightmares. Greater amounts of daytime activities, particularly physical exercise, might protect against nightmare occurrence by decreasing the amount of total REM sleep [41], whereas poor physical activity might be associated with more frequent nightmares [38]. Preliminary evidence suggests that nightmares occur more frequently with high or low sleep duration [38]. More frequent nightmares were observed among people who slept more than 9 h or less than 7 h per night compared to those who slept 7–9 h. The effect sizes of these associations, however, were small (χ 2, p < 0.001; Cramer V, 0.07) and require replication. Mechanistically, a greater length of sleep might increase the amount of late-night REM sleep, thereby increasing the opportunity for nightmares. In contrast, insufficient amount of sleep might be related to physiological hyperarousal, lowering the threshold for awakening.

The current study

This study aimed to investigate factors associated with nightmare occurrence and severity beyond levels of negative affect. Our primary hypothesis was that factors associated with nightmares would be; worry; depersonalisation; hallucinatory experiences; paranoia; and certain behavioural patterns (alcohol use, longer and shorter sleep duration, activity levels). The strength of each of these associations was assessed whilst controlling for other explanatory variables; negative affect, PTSD symptoms, and recent stressful life events.



The inclusion criteria were; aged between 18 years or older and fluency in the English language. There were no exclusion criteria. We recruited participants from social media advertisements (“Are you interested in your sleep: We are looking for volunteers to complete an online sleep survey”) and from our existing database of individuals who had given consent to be contacted about sleep studies. 1479 individuals responded to the survey advert. To ensure data integrity and the quality of responses, we (1) deleted 602 partial (i.e. incomplete) responses, (2) assessed the time participants needed to complete the survey. Four participants who had response times under 10 min, which was deemed highly unlikely (median completion length 22.6 min), were omitted, and (3) participants’ sleep duration was investigated for unlikely entries (e.g. going to bed after the stated sleep onset time). Thirty one cases were detected and excluded from further analyses. The final sample included 846 participants. Informed consent was obtained prior to participation and the study was approved by the University of Oxford Medical Sciences Research Ethics Committee (R43763/RE001).


Nightmare Severity Scale (NSS) [42]. In this scale, a nightmare is defined as a dream with upsetting content which is recalled with distress upon awakening. The NSS assesses nightmare frequency over the past 2 weeks. (“In the past 2 weeks, how many nights (0–14) have you experienced nightmares?”). Moreover, the self-report questionnaire includes 45 items which form a total nightmare severity score. There are three sub-scales which contribute equally to the total score; preoccupation with nightmare experiences [e.g. “It is hard to stop thinking about my nightmare(s)”], nightmare distress [e.g. “I’m distressed by my nightmare(s)”] and impairment in function [e.g. “My nightmare(s) affect my ability to stick to daytime commitments (e.g. work/meeting people/getting to appointments”)]. The severity scale is completed only if the participant reports at least one nightmare. Higher scores indicate greater nightmare severity.

Depression, Anxiety and Stress Scale-21 (DASS-21) [43]. The depression and anxiety scales were used to assess negative affect during the preceding week. The scales have been reported to possess good psychometric properties in clinical and non-clinical samples [44]. Scores on the DASS-21 depression and anxiety sub-scales were summed to provide level of negative affect. Higher scores indicate greater levels of negative affect.

Primary Care-PTSD screen (PC-PTSD) [44]. PTSD symptoms were assessed with the four item PC-PTSD screen. The screen includes an introductory sentence which defines a traumatic event that may have happened (i.e. “In your life, have you ever had any experience that was so frightening, horrible, or upsetting that, in the past month, you:”) without asking participants to identify their own experiences. It contains four questions answered on a binary response scale (yes and no) assessing avoidance and hypervigilance experiences following the experience. The scale has been found to possess good test–retest reliability (r = 0.83). The optimally efficient cut-off score for a probable PTSD diagnosis has been found to be 3, with a corresponding sensitivity of 0.78 and a specificity of 0.78 [45]. We used the dimensional score in our statistical analyses.

Social Readjustment Rating Scale (SRRS) [46]. This scale assesses stressful life-events over the past year. It entails 43 items and is a self-inventory scale. It lists stressful life events that the participant might have experienced over the past 12 months (e.g. divorce). Each stressful life event on the SRRS has a weighted stress score associated with it (e.g. death of a spouse = 100, whilst minor violation of law = 11) and the total score reflects the sum of these. Scores can, therefore, range from 0 (“no life events experienced”) to 1466 with higher scores indicating greater experience of stressful life events. The temporal stability over a 2-year period has been observed to be high in a non-clinical population [47].

Penn State Worry Questionnaire (PSWQ) [48]. Worry levels were assessed with the 16 items PSWQ which is the most established measure of trait worry style possessing high levels of test–rest reliability in non-clinical samples (r = 0.74–0.92) and internal consistency (ranging from 0.88 to 0.95 for clinical and non-clinical samples, respectively; see [49], for a review). Items are rated on a scale ranging from 1 (“Not at all typical for me”) to 5 (“Very typical for me”). Higher scores indicate a greater tendency to worry.

Cambridge Depersonalisation Scale (CDS) [50]. This scale is a 29-item self-report questionnaire that assesses the frequency of depersonalisation experiences over the past 6 months. The scale measuring the duration of the experience was omitted. This measurement has been observed to have good psychometric properties [51]. Higher scores indicate greater levels of depersonalisation.

Specific Psychotic Experiences Questionnaire (SPEQ) [51]. Psychotic-like experiences (i.e. hallucinations and paranoia) were measured using subscales from the SPEQ that asking for the frequency of 15 paranoid thoughts and nine hallucinatory experiences. The scales range from 0 (“Not at all”) to 5 (“Daily”). The subscales have been validated as measures of psychotic experiences in a general population sample of adolescents [51]. Higher scores indicate higher levels of paranoia and hallucinatory experiences.

Alcohol use data Participants were asked to specify the number of alcoholic drinks they had consumed over the past week. A drink was defined as a (a) regular size serving of beer, (b) regular size glass of wine, or (c) one measure of liquor.

Munich Chronotype Questionnaire (MCTQ) [52] We assessed current sleep duration with six selected questions of the MCTO that concern self-reported habitual sleep timings for work and work-free days. A mean sleep duration was calculated for each participant by weighting sleep duration by the amount of work and free days, respectively.

Borg’s CR10 Scale [53] This scale was used as a psychophysical tool to assess subjective perception of effort during physical activities over the past week. Participants were asked to indicate the intensity of exercise (1 = no activity (e.g. watching TV, reading a book, driving a car, etc.) to 10 = very very hard (e.g. running a race) they had completed each day over the past 7 days. An increase in power, heart rate and oxygen uptake has been shown to correspond to an increase in subjective estimations in relation to physical effort using the Borg’s CR10 Scale [54]. Participants rated the maximum intensity activity they had completed each day. The total score across the 7 days was used as an indicator for physical activity levels.

Insomnia Severity Index (ISI) [55] The ISI is a seven item self-report instrument measuring insomnia severity. The items relate to the previous month. The questionnaire has been found to be a reliable and valid measure to quantify perceived insomnia severity [55]. A cut-off score of 10 has been suggested for detecting insomnia cases with of sensitivity 86.1% and a specificity of 87.7% in the community sample [56]. Higher scores indicate greater insomnia symptom severity.


Participants were asked to indicate their age, gender, nationality, work status, marital status, alcohol consumption, cannabis or cocaine use.


Participants were invited to take part in a cross-sectional online survey, which was programmed using Qualtrics software. Informed consent was obtained online at the start. In the first step of the survey, participants provided demographic information. Subsequently, questionnaires were presented in the following order: DASS-21, PSWQ, ISI, SPEQ, CDS, NSS, PC-PTSD, MCTQ, Borg’s CR10 Scale and SRRS. Finally, participants were asked to enter their email address to be included in a prize draw.

Statistical analysis

All analyses were carried out using the statistical package for social sciences version 20 [57].

The survey questions were mandatory and the very small amount of missing data resulted from rare failings of the software. There were missing items for 11 individuals for the activity measure, which were replaced with the participant’s mean activity level from the other days over the past week. Further, missing values on alcohol (n = 20), cannabis (n = 3) and cocaine use (n = 3) were handled using median imputations. Results did not change as a consequence of these imputation procedures.

First, descriptive statistics and the strength of statistical association between variables were tested by bivariate Pearson’s correlation coefficients, Chi-square tests, and independent samples t tests when appropriate. Here, participants who experienced at least one nightmare over the past fortnight were compared to controls (i.e. the reference group not experiencing nightmares). We report magnitudes of effect sizes according to Cohen [58]: correlation coefficients of 0.10 are considered “small”, those of 0.30 are “medium”, and those of 0.50 are “large”.

To test the hypotheses concerning nightmare occurrence, nightmare frequency over the past fortnight was dichotomised (no nightmares = 0, one or more nightmares = 1) and used as the dependent variable. We ran multiple binary regression analyses on nightmare occurrence and multiple linear regression analyses on log-transformed nightmare severity. In both analyses, negative affect was added as an independent variable and one of the following variables was added separately to the model in the first stage; worry, depersonalisation, hallucinatory experiences, paranoia, alcohol use, sleep duration, and activity levels. To assess the predictive ability of shorter and longer sleep duration, we tested the quadratic function for significance. In the second step PTSD symptoms and thereafter stressful life events were added as additional independent variables to the models. All independent variables were standardised to ease the interpretation of odds ratios (ORs) and standard regression coefficients. For the interpretation of results it should be remembered that for continuous scales with standardised values the ORs refer to the risk-increase for a 1-standard deviation increase in the independent variable. All hypothesis testing was two-tailed. 95% confidence intervals (CI), ORs, and R 2 are reported when appropriate.

In our primary analysis, we deliberately included no covariates other than negative affect in our data analysis on nightmare occurrence and severity. Miller and Chapman [59] caution on including covariates in statistical analyses, particularly in studies with a non-randomised study design. Here, overlap or truly shared variance between variables can only be artificially controlled for and may result in inappropriate removal of variance. The study was designed to identify variables associated with nightmare occurrence and severity beyond negative affect only. However, PTSD symptoms and life events were included as additional independent variables in our secondary tests as there were strong grounds for their use.



Eighty nine percent of the sample was female and the mean age was 44 years (SD 15.9), range 18–77 (see Table 1). 381 individuals (45%) reported experiencing at least one nightmare over the past fortnight. The distribution of nightmare occurrence was highly skewed with about half of the participants indicating no nightmare experiences and fewer participants indicating more than one nightmare over the past fortnight (see Fig. 1). The mean nightmare severity score was 80.01 (SD 31.12), range 45–221.

Fig. 1

Nightmare frequency in the sample over the past two weeks

Table 1 Demographics of participants with nightmares compared to the control group (i.e. those without nightmares)

Unadjusted associates of nightmares

Individuals with nightmares reported higher levels of insomnia and a greater likelihood of having used cannabis compared to those without nightmare experiences. Individuals who were married, divorced, or widowed were less likely to experience nightmares compared to those who were single. Students had an increased likelihood of experiencing nightmares compared to full-time employed participants (Table 1).

Independent samples t tests found that the nightmare group was significantly younger and reported significantly higher levels of negative affect, worry, depersonalisation, hallucinatory experiences, paranoia, compared to the individuals not experiencing nightmares. Cohen’s d effect sizes ranged from low to high (Table 2). Nightmare occurrences was unrelated to sex and ethnicity.

Table 2 Independent samples t tests between nightmare occurrence and control group (i.e. not experiencing nightmare) for all variables

Bivariate Pearson’s correlations between nightmare severity and the independent variables were highly significant. Here, higher levels of nightmare severity were associated with higher ratings of negative affect, worry, depersonalisation, hallucination, paranoia, sleep duration, PTSD symptoms, and life events. Alcohol use and activity levels were unrelated to nightmare severity (Table 3).

Table 3 Correlations between nightmare severity and the independent variables

Adjusted analysis controlling for negative affect, PTSD symptoms and stressful life events


Worry was significantly associated with nightmare occurrence when negative affect was controlled (see Table 4). This remained significant after including PTSD symptoms and stressful life events. Nightmare severity was also significantly associated with worry, controlling for negative affect, and remained significant after including PTSD symptoms and thereafter stressful life events in the analysis (Table 5).

Table 4 Adjusted associations of nightmare occurrence with worry, depersonalisation, hallucination, paranoia, alcohol use, sleep duration, and activity levels
Table 5 Adjusted associations of nightmare severity with worry, depersonalisation, hallucination, and paranoia


Depersonalisation was significantly associated with nightmare occurrence controlling for negative affect. The significance level was slightly reduced but still significant after including PTSD symptoms in the analysis. When stressful life events were also included depersonalisation was no longer significantly associated with nightmare occurrence (Table 4). Depersonalisation was significantly associated with nightmare severity controlling for negative affect, PTSD symptoms, and stressful life events (Table 5).

Psychotic-like experiences

Nightmare occurrence was significantly associated with both hallucinations and paranoia over and above negative affect. After including PTSD symptoms and stressful life events, hallucinations remained highly significant; however, paranoia was not significantly associated with nightmare occurrence anymore (Table 4). Both hallucinations and paranoia were significantly associated with nightmare severity controlling for negative affect, PTSD symptoms, and stressful life events (Table 5).

Alcohol use, physical activity, and sleep duration

Longer, but not shorter, sleep duration was significantly associated with nightmare occurrence controlling for negative affect. This effect still remained after inclusion of PTSD symptoms and stressful life events in the model (Table 4). Alcohol use and activity levels were not associated with nightmare occurrence.

The same pattern of results for all analyses was obtained when additionally adjusting for age and the nightmare severity variable was not log transformed.


This is the first study to investigate a wide range of psychological, psychiatric, and behavioural factors that could plausibly contribute to nightmare occurrence and nightmare severity over and above more established causal factors (negative affect, PTSD symptoms, and stressful life events). Higher levels of worry, hallucinatory experiences and longer sleep duration were significantly associated with whether or not participants experienced nightmares, even after controlling for negative affect, PTSD, and stressful life events. Worry, depersonalisation, paranoia and hallucinatory experiences were significantly associated with the severity of nightmares. Again, these associations remained significant after controlling for negative affect, PTSD symptoms, and stressful life events. The key caveat is the cross-sectional design, preventing causal interpretations.

Of the variables tested, worry was the strongest associate of the occurrence of nightmares, and also related to the severity rating of nightmares. Given that these associations held after controlling for negative affect, it seems plausible that the amplification of negative thought content, generated by this cognitive style is associated both with the occurrence of nightmares and also the resultant distress, preoccupation and impairment that they cause. An important next step is to assess the direction of the relationship between worry and nightmares. It is most likely that pre-sleep worry increases the likelihood of distressing nightmares, and, in turn, nightmares may trigger worry the following day, resulting in a self-perpetuating circle. It is, therefore, possible that the relation between nightmares and worry is bidirectional. Given that effective interventions already exist for the treatment of worry [60, 61], one approach towards assessing causality would be to treat worry and assess the impact on nightmare occurrence and severity (termed a causal interventionist approach, e.g. [62]). If successful, worry may be a novel treatment target to boost the efficacy of nightmare interventions.

Longer sleep duration showed a strong and consistent association with nightmare occurrence, even after adjustments for negative affect, PTSD symptoms, and stressful life events. Here, a longer sleep duration might increase the amount of late-night REM sleep [38, 63], thereby increasing the opportunity for nightmares to occur. We predict that stabilisation of the sleep window (i.e. reducing a long sleep duration) might thus lead to a reduction in nightmare occurrence for those with longer sleep durations.

More broadly, our findings indicate that nightmares may not be wholly accountable to negative affect, PTSD symptoms, and stressful life events. Hallucinatory experiences predicted nightmare occurrence and both depersonalisation and psychotic-like experiences also predicted nightmare severity. Clearly, further research is needed, ideally in experimental or treatment study designs, to assess the direction of causality between associations and test possible mechanistic links. Nonetheless, this study has identified novel processes that may be predictive of nightmare occurrences and severity.

Surprisingly, no associations were found between nightmare occurrences and alcohol use or activity levels. Limitations in our measures may be a potential reason for earlier results not being replicated (e.g. [38]). We did not assess the duration and time of the day of alcohol consumption but only the dose over the past week. Similarly, with regards to physical activity, we did not differentiate between acute and regular exercise, assessed baseline physical activity levels, the duration of exercise bouts, nor the time of the day when performed. All of these variables, however, might affect REM sleep [64] and thereby, the likelihood to experience nightmares. More in-depth assessments of alcohol use and physical activities on nightmare experiences are warranted to arrive at firm conclusions.

Limitations and directions for future research

There are clear limitations of the study. Chiefly, the cross-sectional design limits the strength of any causal interpretations. Moreover, the sample is not representative of the general population. Ninety percent of the sample was female and the prevalence of nightmares was higher than in epidemiological studies. Since the study was advertised as a “sleep survey about dreams and nightmares”, it is probable that participants with sleep problems were more likely to complete our study [supported by the high level of clinically significant insomnia in our sample (70%)]. In addition, the high nightmare prevalence may be due to the duration nightmares were assessed for (i.e. 2 weeks instead of weekly prevalence). While these differences limit the generalisability of our findings, the current study benefitted to some degree from the non-representativeness. The study was not set up to assess the prevalence rate of nightmares but rather to identify risk factors beyond negative affect that may predict nightmares. Therefore, the high number of individuals reporting nightmare problems gave sufficient power to test the associations. However, future studies will benefit from more representative samples (e.g. using patient populations).

Notwithstanding these caveats, the current study shows novel cross-sectional associations between psychological, psychiatric, and behavioural factors with nightmares, which were not accounted for by negative affect, PTSD symptoms, and stressful life events alone. Instead, for example, levels of worry and sleep duration showed strong and consistent associations with the occurrence of nightmares. Clearly, causal relationships need testing in future research using more representative samples.


  1. 1.

    Hartmann E (1984) The nightmare: the psychology and biology of terrifying dreams. Basic Books, New York

    Google Scholar 

  2. 2.

    Li SX, Zhang B, Li AM, Wing YK (2010) Prevalence and correlates of frequent nightmares: a community-based 2-phase study. Sleep 33(6):774–780

    Article  PubMed  PubMed Central  Google Scholar 

  3. 3.

    Woodward SH, Arsenault NJ, Murray C, Bliwise DL (2000) Laboratory sleep correlates of nightmare complaint in PTSD inpatients. Biol Psychiatr 48(11):1081–1087

    CAS  Article  Google Scholar 

  4. 4.

    Semiz UB, Basoglu C, Ebrinc S, Cetin M (2008) Nightmare disorder, dream anxiety, and subjective sleep quality in patients with borderline personality disorder. Psychiatr Clin Neurosci 62(1):48–55

    Article  Google Scholar 

  5. 5.

    Li S, Lam J, Zhang J et al (2015) Can sleep disturbances predict suicide risk in patients with schizophrenia-spectrum disorders? A 8-year naturalistic longitudinal study. Sleep Med 16:45–46

    Article  Google Scholar 

  6. 6.

    Sheaves B, Onwumere J, Keen N, Stahl D, Kuipers E (2015) Nightmares in patients with psychosis: the relation with sleep, psychotic, affective, and cognitive symptoms. Can J Psychiatr 60(8):354–361

    Article  Google Scholar 

  7. 7.

    Pigeon WR, Britton PC, Ilgen MA, Chapman B, Conner KR (2012) Sleep disturbance preceding suicide among veterans. Am J Public Health 102(1):93–97

    Article  Google Scholar 

  8. 8.

    Pigeon WR, Pinquart M, Conner K (2012) Meta-analysis of sleep disturbance and suicidal thoughts and behaviors. J Clin Psychiat 73(9):e1160–e1167

    Article  Google Scholar 

  9. 9.

    Fisher HL, Lereya ST, Thompson A, Lewis G, Zammit S, Wolke D (2014) Childhood parasomnias and psychotic experiences at age 12 years in a UK birth cohort. Sleep 37(3):475–482

    PubMed  PubMed Central  Google Scholar 

  10. 10.

    Thompson A, Lereya S, Lewis G, Zammit S, Fisher H, Wolke D (2015) Childhood sleep disturbance and risk of psychotic experiences at 18: UK birth cohort. Brit J Psychiatr 1(207):23–32

    Article  Google Scholar 

  11. 11.

    Pigeon WR, Campbell CE, Possemato K, Ouimette P (2013) Longitudinal relationships of insomnia, nightmares, and PTSD severity in recent combat veterans. J Psychosom Res 75(6):546–550

    Article  PubMed  Google Scholar 

  12. 12.

    Kobayashi I, Sledjeski EM, Spoonster E, Fallon WF, Delahanty DL (2008) Effects of early nightmares on the development of sleep disturbances in motor vehicle accident victims. J Trauma Stress 21(6):548–555

    Article  PubMed  Google Scholar 

  13. 13.

    Hasler BP, Germain A (2009) Correlates and treatments of nightmares in adults. Sleep Med Clin 4(4):507–517

    Article  PubMed  PubMed Central  Google Scholar 

  14. 14.

    Nielsen T, Levin R (2007) Nightmares: a new neurocognitive model. Sleep Med Rev 11(4):295–310

    Article  PubMed  Google Scholar 

  15. 15.

    Spoormaker VI (2008) A cognitive model of recurrent nightmares. Int J Dream Res 1:15–22

    Google Scholar 

  16. 16.

    American Psychiatric Association (2013) Diagnostic and statistical manual of mental disorders (DSM-5). American Psychiatric Pub, Virginia

    Book  Google Scholar 

  17. 17.

    Loveland Cook CA, Caplan RD, Wolowitz H (1990) Nonwaking responses to waking stressors: dreams and nightmares. J Appl Soc Psychol 20(3):199–226

    Article  Google Scholar 

  18. 18.

    Wood JM, Bootzin RR, Rosenhan D, Nolen-Hoeksema S, Jourden F (1992) Effects of the 1989 San Francisco earthquake on frequency and content nightmares. J Abnorm Psychol 101(219–24):27

    Google Scholar 

  19. 19.

    Delorme MA, Lortie-Lussier M, De Koninck J (2002) Stress and coping in the waking and dreaming states during an examination period. Dreaming 12(4):171

    Article  Google Scholar 

  20. 20.

    Levin R, Nielsen TA (2007) Disturbed dreaming, posttraumatic stress disorder, and affect distress: a review and neurocognitive model. Psychol Bull 133(3):482

    Article  PubMed  Google Scholar 

  21. 21.

    Freeman D (2016) Persecutory delusions: a cognitive perspective on understanding and treatment. Lancet Psychiatr 3(7):685–692

    Article  Google Scholar 

  22. 22.

    Startup HM, Davey GC (2001) Mood as input and catastrophic worrying. J Abnorm Psychol 110(1):83

    CAS  Article  PubMed  Google Scholar 

  23. 23.

    Mathews A, MacLeod C (2005) Cognitive vulnerability to emotional disorders. Annu Rev Clin Psychol 1:167–195

    Article  PubMed  Google Scholar 

  24. 24.

    Segerstrom SC, Tsao JC, Alden LE, Craske MG (2000) Worry and rumination: repetitive thought as a concomitant and predictor of negative mood. Cogn Ther Res 24(6):671–688

    Article  Google Scholar 

  25. 25.

    Schredl M, Hofmann F (2003) Continuity between waking activities and dream activities. Conscious Cogn 12(2):298–308

    Article  PubMed  Google Scholar 

  26. 26.

    Aderibigbe YA, Bloch RM, Walker WR (2001) Prevalence of depersonalization and derealization experiences in a rural population. Soc Psychiatry Psychiatr Epidemiol 36(2):63–69

    CAS  Article  PubMed  Google Scholar 

  27. 27.

    Lanius RA (2015) Trauma-related dissociation and altered states of consciousness: a call for clinical, treatment, and neuroscience research. Eur J Psychotrauma 6(19):27905–27914

    Article  Google Scholar 

  28. 28.

    Lanius R, Bluhm R, Coupland N et al (2010) Default mode network connectivity as a predictor of post-traumatic stress disorder symptom severity in acutely traumatized subjects. Acta Psychiatr Scand 121(1):33–40

    CAS  Article  PubMed  Google Scholar 

  29. 29.

    Nicholson AA, Densmore M, Frewen PA, Théberge J, Neufeld RW, McKinnon MC, Lanius RA (2015) The dissociative subtype of posttraumatic stress disorder: unique resting-state functional connectivity of basolateral and centromedial amygdala complexes. Neuropsychopharmacol 40(10):2317–2326

    Article  Google Scholar 

  30. 30.

    Desseilles M, Dang-Vu TT, Sterpenich V, Schwartz S (2011) Cognitive and emotional processes during dreaming: a neuroimaging view. Conscious Cogn 20(4):998–1008

    Article  PubMed  Google Scholar 

  31. 31.

    Levin R, Fireman G (2002) Nightmare prevalence, nightmare distress, and self-reported psychological disturbance. Sleep NY 25(2):205–212

    Google Scholar 

  32. 32.

    Schredl M (2008) Laboratory references in dreams: methodological problem and/or evidence for the continuity hypothesis of dreaming? Int J Dream Res 1(1):3–6

    Google Scholar 

  33. 33.

    Sheaves B, Onwumere J, Keen N, Kuipers E (2015) Treating your worst nightmare: a case-series of imagery rehearsal therapy for nightmares in individuals experiencing psychotic symptoms. Cogn Behav Ther 8:27–44

    Google Scholar 

  34. 34.

    D’Agostino A, Aletti G, Carboni M, Cavallotti S, Limosani I, Manzone M, Scarone S (2013) Are delusional contents replayed during dreams? Conscious Cogn 22(3):708–715

    Article  PubMed  Google Scholar 

  35. 35.

    Sheaves B, Porcheret K, Tsanas A et al (2015) Insomnia, nightmares, and chronotype as markers of risk for severe mental illness: results from a student population. Sleep 39(1):173–181

    Article  Google Scholar 

  36. 36.

    Pagel J, Helfter P (2003) Drug induced nightmares—an etiology based review. Hum Psychopharm Clin 18(1):59–67

    CAS  Article  Google Scholar 

  37. 37.

    Roehrs T, Roth T (2001) Sleep, sleepiness, sleep disorders and alcohol use and abuse. Sleep Med Rev 5(4):287–297

    Article  PubMed  Google Scholar 

  38. 38.

    Sandman N, Valli K, Kronholm E, Revonsuo A, Laatikainen T, Paunio T (2014) Nightmares: risk factors among the finnish general adult population. Sleep 38(4):507–514

    Article  Google Scholar 

  39. 39.

    Thompson DF, Pierce DR (1999) Drug-induced nightmares. Ann Pharmacother 33(1):93–98

    CAS  Article  PubMed  Google Scholar 

  40. 40.

    Oswald I, Priest RG (1965) Five weeks to escape the sleeping-pill habit. Brit Med J 2(5470):1093–1095

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  41. 41.

    Brand S, Gerber M, Beck J, Hatzinger M, Pühse U, Holsboer-Trachsler E (2010) Exercising, sleep-EEG patterns, and psychological functioning are related among adolescents. World J Biol Psychiatry 11(2):129–140

    Article  PubMed  Google Scholar 

  42. 42.

    Sheaves B, Waite F, Rek SV, McInerney J, Freeman D (2016) Assessing nightmares. Unpublished manuscript

  43. 43.

    Henry JD, Crawford JR (2005) The short-form version of the Depression Anxiety Stress Scales (DASS-21): construct validity and normative data in a large non-clinical sample. Brit J Clin Psychol 44(2):227–239

    Article  Google Scholar 

  44. 44.

    Antony MM, Bieling PJ, Cox BJ, Enns MW, Swinson RP (1998) Psychometric properties of the 42-item and 21-item versions of the Depression Anxiety Stress Scales in clinical groups and a community sample. Psychol Assessment 10(2):176

    Article  Google Scholar 

  45. 45.

    Cameron RP, Gusman D (2003) The primary care PTSD screen (PC-PTSD): development and operating characteristics. Primary Care Psychiatry 9(1):9–14

    Google Scholar 

  46. 46.

    Holmes TH, Rahe RH (1967) The social readjustment rating scale. J Psychosom Res 11(2):213–218

    CAS  Article  PubMed  Google Scholar 

  47. 47.

    Gerst MS, Grant I, Yager J, Sweetwood H (1978) The reliability of the Social Readjustment Rating Scale: moderate and long-term stability. J Psychosom Res 22(6):519–523

    CAS  Article  PubMed  Google Scholar 

  48. 48.

    Meyer TJ, Miller ML, Metzger RL, Borkovec TD (1990) Development and validation of the penn state worry questionnaire. Behav Res Ther 28(6):487–495

    CAS  Article  PubMed  Google Scholar 

  49. 49.

    Startup HM, Erickson TM (2006) The Penn State Worry Questionnaire (PSWQ). In: Davey GC, Wells A (eds) Worry and its psychological disorders: theory, assessment and treatment, 1 edn. Wiley, West Sussex, pp 101–119

    Google Scholar 

  50. 50.

    Sierra M, Berrios GE (2000) The Cambridge Depersonalisation Scale: a new instrument for the measurement of depersonalisation. Psychiatr Res 93(2):153–164

    CAS  Article  Google Scholar 

  51. 51.

    Ronald A, Sieradzka D, Cardno AG, Haworth CM, McGuire P, Freeman D (2013) Characterization of psychotic experiences in adolescence using the specific psychotic experiences questionnaire: findings from a study of 5000 16-year-old twins. Schizophr Bull 40:868–877

    Article  PubMed  PubMed Central  Google Scholar 

  52. 52.

    Roenneberg T, Wirz-Justice A, Merrow M (2003) Life between clocks: daily temporal patterns of human chronotypes. J Biol Rhythm 18(1):80–90

    Article  Google Scholar 

  53. 53.

    Borg G (1998) Borg’s perceived exertion and pain scales. Human Kinetics, Illinois

    Google Scholar 

  54. 54.

    Junior WG, da Silva E, da Silva JA (2009) A comparison between the visual analogue and Borg’s CR10 scales for perceived exertion. Proc Fechner Day 25(1):477–480

    Google Scholar 

  55. 55.

    Bastien CH, Vallières A, Morin CM (2001) Validation of the Insomnia Severity Index as an outcome measure for insomnia research. Sleep Med 2(4):297–307

    Article  PubMed  Google Scholar 

  56. 56.

    Morin CM, Belleville G, Bélanger L, Ivers H (2011) The Insomnia Severity Index: psychometric indicators to detect insomnia cases and evaluate treatment response. Sleep 34(5):601–608

    Article  PubMed  PubMed Central  Google Scholar 

  57. 57.

    IBM Corp (2011) SPSS statistics for Windows, version 20.0. IBM Corp, Armonk

    Google Scholar 

  58. 58.

    Cohen J (1988) Statistical power analysis for the behaviorial sciences, 2nd edn. L. Erlbaum, Hillsdale

    Google Scholar 

  59. 59.

    Miller GA, Chapman JP (2001) Misunderstanding analysis of covariance. J Abnorm Psychol 110(1):40–48

    CAS  Article  PubMed  Google Scholar 

  60. 60.

    Freeman D, Dunn G, Startup H et al (2015) Effects of cognitive behaviour therapy for worry on persecutory delusions in patients with psychosis (WIT): a parallel, single-blind, randomised controlled trial with a mediation analysis. Lancet Psychiatr 2(4):305–313

    Article  Google Scholar 

  61. 61.

    Hanrahan F, Field AP, Jones FW, Davey GC (2013) A meta-analysis of cognitive therapy for worry in generalized anxiety disorder. Clin Psychol Rev 33(1):120–132

    Article  PubMed  Google Scholar 

  62. 62.

    Kendler K, Campbell J (2009) Interventionist causal models in psychiatry: repositioning the mind–body problem. Psychol Med 39(6):881–887

    CAS  Article  PubMed  Google Scholar 

  63. 63.

    Diekelmann S, Born J (2010) The memory function of sleep. Nat Rev Neurosci 11(2):114–126

    CAS  PubMed  Google Scholar 

  64. 64.

    Kredlow MA, Capozzoli MC, Hearon BA, Calkins AW, Otto MW (2015) The effects of physical activity on sleep: a meta-analytic review. J Behav Med 38(3):427–449

    Article  PubMed  Google Scholar 

Download references


This study was supported by a Wellcome Trust Strategic Award (098461/Z/12/Z) to the Oxford Sleep and Circadian Neuroscience institute (SCNi). Daniel Freeman is supported by a UK MRC Senior Clinical Fellowship (G0902308).

Author information



Corresponding author

Correspondence to Stephanie Rek.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Rek, S., Sheaves, B. & Freeman, D. Nightmares in the general population: identifying potential causal factors. Soc Psychiatry Psychiatr Epidemiol 52, 1123–1133 (2017).

Download citation


  • Nightmares
  • Negative affect
  • Stressful life events
  • Cognitive processes