Skip to main content
Schizophrenia Bulletin logoLink to Schizophrenia Bulletin
. 2017 Aug 4;44(3):662–671. doi: 10.1093/schbul/sbx103

Disrupting Sleep: The Effects of Sleep Loss on Psychotic Experiences Tested in an Experimental Study With Mediation Analysis

Sarah Reeve 1,, Richard Emsley 2, Bryony Sheaves 1, Daniel Freeman 1
PMCID: PMC5890488  PMID: 28981834

Abstract

Our view is that insomnia may be a causal factor in the occurrence of psychotic experiences such as paranoia and hallucinations. However, the causal relationship is not established. The aim of the study was to investigate the causal role of insomnia in psychotic experiences via a sleep restriction manipulation. The study was a within-subjects crossover design that included a planned mediation analysis. Sixty-eight nonclinical volunteers underwent a sleep loss condition (restricted to 4 h sleep for 3 nights) and a control condition (standard sleep) in randomized order in 2 consecutive weeks, with a weekend washout period. Psychotic experiences (paranoia, hallucinations, grandiosity, and cognitive disorganization) and candidate mediating variables (negative affect and related processes, working memory, decision making, and perceptual processing) were assessed before and after each condition. Actigraphy verified an average sleep duration of 5 h 15 min in the sleep loss condition, vs 6 h 58 min in the control condition. After the sleep loss condition, relative to the control condition, participants reported significant increases in paranoia, hallucinations, and cognitive disorganization, with no significant changes in grandiosity. The sleep loss condition was also associated with significant increases in negative affect, negative self and other cognitions, worry, and working memory impairment. Mediation analyses indicated that changes in psychotic experiences were mediated by changes in negative affect and related processes, but not memory impairment. The overall conclusion is that insomnia has a causal role in the occurrence of certain psychotic experiences, and that a key route is via negative affect.

Keywords: insomnia, manipulation, psychosis, paranoia, hallucinations, grandiosity, cognitive disorganization, schizophrenia, mechanisms

Background

Insomnia co-occurs with and predicts psychotic experiences, especially paranoia and hallucinations. In a recent survey of 267692 individuals from 56 countries, sleep problems were associated with a 2-fold increased likelihood of endorsing that there was a plot to harm them (paranoia) or an experience of seeing visions or hearing voices (hallucinations).1 Insomnia also predicts an increased likelihood of reporting paranoia or hallucinations at a later time.2,3 These associations remained significant even after controlling for depression and anxiety. In clinical settings sleep difficulties co-occur with more severe psychotic symptoms in patients with schizophrenia spectrum disorders,4–7 are predictive of relapse of psychotic symptoms,8,9 and for transition from at risk mental state to first-episode psychosis.10

Clearly, there is an association between insomnia and psychotic experiences. Yet, as identified by a recent systematic review of 66 studies, there is a need to directly test the causal role of insomnia, and to understand the mechanisms linking it with psychotic experiences.11 Such findings would inform the understanding of the etiology of psychotic experiences, and would also contribute to developing sleep interventions for patients with non-affective psychosis.12 To establish causation, studies are needed which manipulate the proposed causal variable (insomnia) to test the effect (on psychotic experiences).13 One approach is to improve insomnia while measuring psychotic experiences among individuals with existing sleep problems (with or without a psychotic disorder diagnosis).12,14 An improvement in sleep should lead to a lessening in psychotic experiences. A second approach is to disrupt sleep, with the prediction that psychotic experiences should worsen. In effect, with nonclinical individuals, this would temporarily simulate the development of psychotic experiences.

Table 1 lists the 3 sleep disruption studies measuring psychotic experiences reported to date.15–17 These studies are consistent with the idea that sleep loss results in an increase in psychotic experiences. However, the findings in relation to individual psychotic experiences are inconsistent. For example, paranoia is increased following sleep deprivation in Kahn-Green et al15 but not Petrovsky et al.17 Furthermore, these studies manipulate sleep via total sleep deprivation, whereas insomnia is characterized by insufficient sleep over a period of time. Lastly, none of these studies included measurement or analysis of potential mediating factors.

Table 1.

Existing Sleep Disruption Studies Addressing Psychotic Experiences

Citation N Sample Characteristics Psychotic Experience Measure Sleep Manipulation Findings
Hurdiel et al16 17 Volunteers completing ultramarathon event Hallucinations—open ended question on completion Sleep deprivation 4 out of 17 participants reported experiencing hallucinations during the exercise event
Average 46 h 38 min (measured by actigraphy)
Kahn-Green et al15 25 Nonclinical volunteers (recruited from military) PAI (pre- and postsleep deprivation) Sleep deprivation Sleep deprivation resulted in an increase in anxiety, depression, and paranoia, but not manic-related symptoms or schizophrenia symptom factors
56 h (in lab)
Petrovsky et al17 24 Nonclinical volunteers (Students) PSI (pre- and postsleep deprivation) Sleep deprivation Sleep deprivation induced perceptual distortions, cognitive disorganization, and anhedonia, but not mania, paranoia, or delusional thinking
Overnight sleep deprivation (in lab)

Note: PAI, Personality Assessment Inventory18 ; PSI, Psychotomimetic States Inventory.19

Cognitive models of psychotic experiences suggest potential means by which insomnia leads to psychotic experiences. Negative affect has been found to explain a proportion of the relationship between sleep dysfunction and psychotic experiences.11 This would be predicted by models of paranoia and hallucinations which place anxiety and depression in the center of development and maintenance of positive psychotic symptoms.20–22 There are other untested factors which could mediate the relationship between sleep dysfunction and psychosis. Working memory deficits are a commonly noted consequence of sleep loss and insomnia23,24 and have been linked to the jumping to conclusions reasoning bias,25 which is itself a key component of cognitive models for delusions.20 Changes in top–down perceptual processing (ie, influence of beliefs on sensory processing) have also been reported following sleep loss, with sleep deprivation causing individuals to be less susceptible to the effects of visual or auditory illusions.26 A similar effect of reduced susceptibility to illusions has been found in individuals with schizophrenia.27 Furthermore, changes in top-down perceptual processing are a common feature in cognitive models of hallucinations.22 Therefore, there is a strong theoretical basis for testing the contribution of mediating factors such as affect-related processing, working memory, perceptual processing, and decision making in the relationship between insomnia and psychotic experiences.

The Current Study

The current study aims to investigate the causal role of insomnia in psychosis by assessing the effect of sleep loss on psychotic experiences and mediating variables in a nonclinical sample.

In our sleep loss condition, sleep was restricted to 4 h sleep each night for 3 consecutive nights. A review of the literature indicated that this would be appropriate for causing noticeable changes, while still being reversible in a weekend washout period.28–32 This sleep restriction was self-enforced by participants at home, and they continued their daily activities (study, work, etc.) during the study. Adherence was monitored by actigraphic recording, responses to text messages (SMS) prompts, and sleep diaries. Sleep was restricted by participants delaying their sleep onset; in other studies modeling insomnia (eg, by Finan et al33,34) sleep has been restricted by waking participants during the night. However, this is challenging to administer outside of a sleep laboratory, which in turn limits ecological validity.

We tested the following hypotheses to establish a causal relationship between the sleep loss condition and psychotic experiences and to test the role of mediating factors in this relationship.

  1. Sleep loss will cause an increase in (subclinical) psychotic experiences.

  2. Sleep loss will cause changes in mood and cognition that may underlie the development of psychotic experiences.

  3. Changes in mood and cognition will mediate the changes in psychotic experiences.

Recruitment

Eighty-five participants consented to take part, of which 75 completed the study. Seven participants were excluded for noncompletion or late completion of an assessment, resulting in a final sample of 68 on which all analyses were carried out. Participants were recruited via advertisements from the student and wider community in Oxford. Participants were aged 18–30 to reduce confounding by changes in sleep with age.35 This is also the age at which psychotic symptoms generally emerge for those who go on to receive a diagnosis of the clinical disorder.

Other inclusion criteria were good quality sleep (scoring ≤5 on the Pittsburgh Sleep Quality Index36), no history of psychiatric disorder, and no current mood disorder (indicated by scoring below clinical cutoff on the Beck Depression Inventory37 and the Mood Disorder Questionnaire38). The exclusion criteria were travel across time zones in the preceding 2 weeks, employment requiring shift work, consumption of drugs or medication (besides contraceptives or vitamins), requirement to drive, cycle, or operate heavy machinery during the study, and nonfluency in English. The study received approval from the local University Research Ethics Committee, and written informed consent was received from all participants.

Study Design

A within subjects cross-over design was chosen. Following consent participants were randomized to the sleep loss condition (4 h sleep a night for 3 nights) or the control condition (standard sleep) for their first week in the study, with the alternate condition carried out in the second week. Both conditions were carried out Monday–Thursday or Tuesday–Friday, with a minimum 3 night washout period over Friday, Saturday, and Sunday nights. Assessments were carried out at the start and end of both conditions. A diagram of the study design is included in the supplementary material.

Sleep Loss Condition (Restricted Sleep)

Participants set their own 4 h sleep period based on delaying sleep time while keeping wake time constant. For example, a participant who normally slept from 11:00 pm until 07.00 am would sleep from 03:00 am to 07.00 am each night in the restricted condition. Participants responded to automated hourly text (SMS) messages to demonstrate they were awake. The messages were sent from 10.00 pm until the hour before the participant’s chosen sleep time.

Control Condition (Standard Sleep).

In this condition, participants could sleep however they wished for the 3 nights and were not required to respond to any text messages.

A self-report sleep diary based on the Consensus Sleep Diary39 was completed in both study conditions. Objective recording of sleep-wake patterns was conducted in both sleep conditions using wrist actigraphy (CamNTech MotionWatch 8). MotionWare software was used to provide an estimate of total sleep time in each 24 h period. Alcohol, caffeine, and nicotine consumption was recorded in the diary.

Assessments

All assessments were administered online via the Inquisit platform.40 Assessments were completed between 1800 h and 0000 h. The timescale of all questionnaires was adjusted to the previous 3 days to allow for repeated administration. Higher scores in all measures indicate greater severity. The assessment battery comprised:

Psychotic Experiences.

Specific Psychotic Experiences Questionnaire41: The SPEQ is a self-report questionnaire with 5 dimensions (paranoia, hallucinations, cognitive disorganization, grandiosity, and anhedonia). The outcome measure is the total score in each dimension. Distress is rated for each dimension, the average of these ratings is an additional outcome measure. The anhedonia subscale was removed for this study as the items were unsuitable for repeated administration.

Negative Affect.

Depression Anxiety Stress Scale (short form)42: The DASS is a 21-item questionnaire with 3 dimensions (depression, anxiety, and stress). Each item is marked on a 0–3 agreement scale. The outcome variables are the total score for each dimension.

Affective Processes.

Worry questionnaire (Freeman et al, in preparation): 10 statements ranked on 5-point scale for agreement (0–4). Items include “There was little I could do to stop worrying” and “Worry has caused me to feel upset.” The outcome variable is the total sum of responses.

Brief core schema scale43: The BCSS is a 24 item scale assessing beliefs about self and others. The participant rates each belief on a 0–4 agreement scale. Outcome variables are the total score within each subscale (negative self, positive self, negative other, positive other).

Perception.

Ebbinghaus illusion task: participants decide which of 2 orange circles are larger. Grey surrounding circles present a misleading illusory effect on a third of trials, a helpful illusory effect on another third, and there are no surrounding circles in the remainder of trials (control trials). The outcome variable is the average of the absolute difference between each illusory condition and the control condition. The current task was modeled on that used by Doherty et al.44

Perceptual vigilance task45: Participants click as soon as possible when a red dot appears in 1 of 9 locations on screen (at intervals randomly chosen from 1 to 10 s) over 5 min. Outcome variables were number of lapses (≥500 ms response time) and average reaction time.

Decision Making.

Jumping to conclusions46 task: The 85:15 version of the task was used. Participants requested “randomly selected” beads one at a time with replacement until they were certain which jar the beads were from (the beads are actually in a predetermined sequence). The outcome variable is the number of beads taken to make a decision.

Working Memory.

N-Back task47: Participants are presented with a sequence of letters, and click when the current letter matches the letter 1 position, 2 position, or 3 positions back in the sequence. Participants completed 2 blocks of each of the 1, 2, and 3 back tasks in a random order. Each block contained 20 letters, with a 1/3 rate of matching letters. The outcome variable is the decision value, calculated by the below formula:

Decision value=Correct hitsFalse alarmsTotal number of trials

The minimum value is 0, maximum score is 0.3.

Statistical Analysis

Data for this 2-condition 2-period crossover trial were analyzed using Stata version 14.48 Demographic and adherence data were analyzed using SPSS 22.0.49 There were no missing data. Statistical significance was set at P <.05.

Actigraphic and sleep diary estimates of sleep, and nicotine, alcohol, and caffeine consumption were checked for adherence using paired t-tests.

The primary data analysis was performed using multilevel modeling, to account for the repeated measures within an individual and the 2 measures of “baseline” before each of the sleep conditions. For each outcome, we fitted a linear mixed model with a fixed effect for order, the sleep condition and the “baseline” measure of the outcome, with a random intercept for each participant. We repeated this modeling for each putative mediator as an outcome. Effect sizes were calculated using the first baseline standard deviation (pooled across conditions and order groups) as the denominator,50 which can be interpreted as equivalent to Cohen’s d.

Although there has been considerable discussion of the underlying assumptions in statistical mediation analysis,51 a crossover experimental design is a scenario in which these assumptions will plausibly hold. If an effect of the sleep condition on both mood or cognition (the putative mediators) and subclinical psychotic symptomatology (the final outcome) is demonstrated, then we evaluated mediation using the strategy suggested by Baron and Kenny.52 In the final mediation analysis, we only examine mediators and outcomes with a significant condition effect (P < .05) from the previous analysis. For each significant outcome, this involved fitting the additional linear mixed model as above with the addition of the putative mediators at “baseline” and end of intervention as fixed effects. The total effect is the effect of sleep condition on outcome in the first model. The direct effect is the effect of sleep condition on outcome in the model including the mediators. The indirect effect is the product of the coefficient of sleep condition on the mediator, and the coefficient of the mediator on outcome. All three models were bootstrapped with 1000 replications to obtain valid standard errors and significance tests. If the direct effect is smaller than the total effect, it becomes nonsignificant in the presence of the mediator, and the indirect effect itself is statistically significant, then we would conclude mediation. As each mediator is considered individually, we believe our sample size provides sufficient power to detect indirect effects. The proportion mediated was calculated as the ratio of the indirect effect to the total effect.

Results

Demographics

The demographic data for the participants are presented in table 2. The 68 study participants were balanced with respect to gender (54% female), were predominantly white British (69%), and the majority (76%) were undergraduate or postgraduate students.

Table 2.

Demographics of Study Sample

Total Sample First Week Restricted Second Week Restricted
N = 68 (n = 33) (n = 35)
Mean age in years (SD) 22.5 (3.4) 21.9 (3.1) 23.0 (3.7)
Gender
 Male 31 (45.6%) 14 (42.4%) 17 (48.6%)
 Female 37 (54.4%) 19 (57.6%) 18 (51.4%)
Ethnicity
 White/White British 47 (69.1%) 22 (66.7%) 25 (71.4%)
 Asian/Asian British 12 (17.6%) 6 (18.1%) 6 (17.1%)
 Mixed/multiple ethnic groups 5 (7.4%) 1 (3.0%) 4 (11.4%)
 Black/African/Caribbean/Black British 2 (2.9%) 2 (6.1%) 0 (0.0%)
 Other 2 (2.9%) 2 (6.1%) 0 (0.0%)
Occupation
 Undergraduate student 33 (48.5%) 17 (51.5%) 16 (45.7%)
 Postgraduate student 19 (27.9%) 9 (27.3%) 10 (28.6%)
 Part time employed 5 (7.4%) 2 (6.1%) 3 (8.6%)
 Full time employed 10 (14.7%) 5 (15.2%) 5 (14.3%)
 Unemployed 1 (1.5%) 0 (0.0%) 1 (2.9%)

Adherence to Sleep Restriction

Nine hundred seventy-seven of the 993 SMS messages (98.4%) sent to the participants were responded to within the 15-min window. The total sleep time recorded in the diaries (3 h 54 min sleep loss condition vs 7 h 21 min control condition) and by actigraphy (5 h 15 min vs 6 h 58 min) show a significant reduction in sleep time (both P < .001). No significant difference was found in alcohol (0.81 units vs 1.02 units, P = .223) or nicotine (1.47 mg vs 1.26 mg, P = .211) intake across the 2 weeks. A slight but significant increase in caffeine intake was recorded in the sleep loss condition (104.32 mg vs 87.23 mg, P = .006).

Changes in Outcomes by Condition

Psychotic Experiences.

In table 3, it can be seen that, in comparison to the control condition, the sleep loss condition was associated with significant increases in hallucinations, paranoia, and cognitive disorganization. Distress from psychotic experiences also significantly increased relative to the control condition. All these changes had moderate to large effect sizes (ranging from d = 0.38 to d = 0.87). However, no significant changes due to sleep condition were found on grandiosity. There was a significant interaction between baseline scores and the sleep condition effect in paranoia (effect = 0.535 [SE = 0.156], P = .001), hallucinations (1.228 (0.280), P < .001), and psychotic experience distress (0.388 (0.154), P = .012), indicating that a higher baseline score resulted in a proportionally higher sleep condition effect. Further details can be found in our supplementary material.

Table 3.

Changes in Psychotic Experiences and Candidate Mediators Following Sleep Restriction Vs Control (Standard Sleep) Condition

Sleep Baseline Mean (SD) Endpoint Mean (SD) Effect (SE), P-Value 95% CI Effect Size
Psychotic experiences
 Paranoia (SPEQ) Restricted 2.3 (3.4) 3.8 (5.4) 1.57 (0.54), .003 2.63, −0.52 0.383
Standard 2.8 (4.7) 2.5 (5.4)
 Hallucinations (SPEQ) Restricted 0.4 (0.8) 1.2 (2.4) 1.06 (0.28). .000 1.62, −0.51 0.869
Standard 0.3 (1.5) 0.1 (0.7)
 Cognitive Disorganization (SPEQ) Restricted 2.6 (3.9) 4.8 (4.2) 2.44 (0.36), .000 3.14, −1.73 0.643
Standard 2.7 (3.8) 2.5 (3.5)
 Grandiosity (SPEQ) Restricted 6.6 (6.7) 6.7 (6.6) 0.14 (0.52), .780 1.16, −0.87 0.002
Standard 6.4 (6.1) 6.4 (6.5)
 Psychotic experience distress (SPEQ) Restricted 0.3 (0.8) 0.7 (1.1) 0.42 (0.12), .001 66, −0.18 0.521
Standard 0.4 (0.8) 0.3 (0.7)
Mediating variables
 Depression (DASS) Restricted 2.0 (3.9) 4.6 (6.1) 2.80 (0.61), .000 3.99, −1.61 0.776
Standard 1.8 (3.2) 1.6 (3.9)
 Anxiety (DASS) Restricted 2.2 (3.2) 5.2 (5.2) 3.53 (0.67), .000 4.84, −2.22 1.002
Standard 3.0 (3.8) 2.1 (3.9)
 Stress (DASS) Restricted 3.8 (6.2) 7.8 (7.8) 4.61 (0.85), .000 6.27, −2.95 0.806
Standard 4.0 (5.3) 3.3 (4.6)
 Negative beliefs about self (BCSS) Restricted 1.8 (2.2) 2.6 (3.2) 1.05 (0.28), .000 1.60, −0.50 0.463
Standard 1.9 (2.3) 1.6 (2.1)
 Positive beliefs about self (BCSS) Restricted 13.1 (5.3) 12.0 (5.1) −0.55 (0.53), .305 0.50, −1.59 0.113
Standard 13.7 (4.4) 130 (5.3)
 Negative beliefs about others (BCSS) Restricted 1.9 (2.7) 2.6 (3.7) 0.99 (0.36), .006 1.68, −0.29 0.363
Standard 2.0 (2.8) 1.7 (2.4)
 Positive beliefs about others (BCSS) Restricted 12.0 (5.0) 11.8 (4.9) 0.19 (0.56), .737 1.28, −0.91 0.044
Standard 12.9 (3.7) 12.1 (5.0)
 Worry (Worry scale) Restricted 5.9 (6.4) 7.6 (7.3) 2.59 (0.92), .005 4.39, −0.80 0.402
Standard 6.0 (6.6) 5.0 (6.0)
 Ebbinghaus—difference in scores Restricted 40.3 (9.3) 39.7 (11.0) 0.74 (1.19), .538 3.06, −1.60 0.079
Standard 40.8 (9.2) 39.4 (10.2)
 Perceptual vigilance—average RT (ms) Restricted 603.5 (975.3) 613.2 (409.9) 63.13 (56.11), .261 173.10, −46.84 0.233
Standard 510.7 (300.8) 539.0 (283.7)
 Perceptual vigilance—no. of lapses (RT ≤ 500 ms) Restricted 12.0 (12.9) 18.1 (15.5) 2.65 (1.48), .072 5.56, −0.24 0.214
Standard 11.1 (11.8) 15.4 (12.4)
 Working memory (N back decision value) Restricted 0.2 (0.1) 0.2 (0.1) −0.03 (.01), .005 −0.01, −0.04 0.545
Standard 0.2 (0.0) 0.2 (0.1)
 Jumping to conclusions (no. of. beads) Restricted 3.5 (4.1) 4.6 (4.5) 0.02 (0.27), .925 0.55, −0.50 0.005
Standard 4.2 (3.6) 4.3 (3.5)

Mediators.

Highly significant and large effect size increases were found for depression, anxiety, and stress following the sleep loss condition, as compared with the control condition. We also found significant and moderate effect size increases in worry and in the endorsement of negative beliefs about self and others following sleep loss. There were no significant changes in endorsements of positive beliefs about self or others.

Working memory task performance significantly worsened following the sleep loss condition as compared with the control condition (effect = 0.55). No significant changes were seen in the number of beads requested before decision in the jumping to conclusions task. There were no significant changes in the illusion effect in the Ebbinghaus task. There was no significant effect of sleep condition on vigilance (reaction time or lapses).

Mediation

The outcome of mediation analyses can be seen in table 4. The effect of sleep loss on paranoia is almost completely mediated by negative affect (all >90%). Affective processes, in particular, negative beliefs about others, also mediated a proportion of the effect. Working memory change was not a significant mediator for paranoia or for any other psychotic experience (ie, the indirect effect via working memory did not reach significance for any outcome). The results for cognitive disorganization are similar to those for paranoia, with significant mediation by negative affect, negative beliefs about self, and worry. However, the proportion mediated by these factors (26.2–39.2%) was smaller than for paranoia. The only significant mediator found for hallucinations was stress (43.4%). Distress from psychotic experiences was again predominantly mediated by negative affect (51.4%–57% across dimensions), with no other mediators reaching significance.

Table 4.

Mediation Analysis for Increases in Psychotic Experiences

Outcome Total Effect, Estimate (SE), P Value Putative Mediator Direct Effect, Estimate (SE), P Value Indirect Effect, Estimate (SE), P Value Proportion Mediated %
SPEQ paranoia −1.57 (0.59), .008 Anxiety −0.26 (0.79), .747 −1.44 (0.59), .014 91.7
Depression 0.12 (0.54), .816 −1.45 (0.42), .001 92.1
Stress −0.02 (0.63), .969 −1.55 (0.51), .002 98.7
Neg self −1.13 (0.50), .023 −0.43 (0.33), .195 27.2
Neg other −0.92 (0.54), .084 −0.64 (0.24), .009 40.8
Worry −0.86 (0.73), .238 −0.67 (0.39), .082 42.7
Working memory −1.51 (0.66), .022 −0.07 (0.18), .687 4.7
SPEQ hallucinations −1.06 (0.29), <.001 Anxiety −0.88 (0.28), .002 −0.23 (0.18), .193 22.0
Depression −0.89 (0.32), .005 −0.13 (0.12), .276 12.9
Stress −0.61 (0.22), .006 −0.46 (0.23), .045 43.4
Neg self −0.81 (0.27), .002 −0.27 (0.16), .094 25.4
Neg other −0.93 (0.28), .001 −0.14 (0.08), .071 12.7
Worry −0.93 (0.30), .002 −0.14 (0.12), .200 13.4
Working memory −1.06 (0.30), <.001 −0.01 (0.07), .912 0.7
SPEQ cognitive disorganization −2.44 (0.40), <.001 Anxiety −1.52 (0.41), <.001 −0.96 (0.31), .002 39.2
Depression −1.78 (0.40), <.001 −0.64 (0.25), .011 26.2
Stress −1.55 (0.40), <.001 −0.90 (0.28), .001 36.8
Neg self −2.05 (.38), <.001 −0.41 (.18), .026 16.8
Neg other −2.26 (0.37), <.001 −0.17 (0.15), .242 7.0
Worry −1.90 (0.36), <.001 −0.53 (0.26), .042 21.7
Working memory −2.40 (0.43), <.001 −0.03 (0.09), .706 1.4
SPEQ distress −0.42 (0.14), .002 Anxiety −0.18 (0.13), .174 −0.24 (0.12), .048 56.9
Depression −0.17 (0.12), .145 −0.24 (0.09), .009 57.0
Stress −0.20 (0.12), .080 −0.22 (0.09), .022 51.4
Neg self −0.27 (0.12), .020 −0.15 (0.08), .056 34.8
Neg other −0.37 (0.13), .005 −0.05 (0.03), .111 12.3
Worry −0.28 (0.12), .022 −0.14 (0.08), .082 33.3
Working memory −0.34 (0.14), .012 −0.08 (0.06), .162 18.4

Discussion

This is the first study to test the etiology of psychotic experiences by simulating insomnia-like sleep loss in nonclinical volunteers. Participants adhered to the self-enforced sleep restriction, as demonstrated by the SMS responses and actigraphy. Sleep loss resulted in moderate to large effect size increases in paranoia, hallucinations, and cognitive disorganization as compared to standard sleep. There was no change in grandiosity. The significant interaction between baseline psychotic experience scores and sleep condition indicates a greater effect of sleep restriction on those endorsing more psychotic experiences at baseline. Large increases in depression and anxiety were found following the sleep loss condition (compared with the control condition), along with moderate increases in the endorsement of negative beliefs about self and others, and in worry. There were no significant changes in positive beliefs about self or others. Significant impairment in working memory was found following the sleep loss condition. However, no changes were found for perceptual processing (illusory effects or vigilance), or decision making. Overall the results are consistent with a causal role for insomnia in certain psychotic experiences.

The lack of change in grandiosity could be understood within the context of the large increase in negative affect. Emotion congruent models of grandiosity would predict that negative affective states are not conducive to the development of these beliefs.53 The absence of an effect of restricted sleep on perceptual vigilance is notable, given this is a common consequence of sleep restriction in previous laboratory-based studies.30–32 In the current study, vigilance decreased across the week in both sleep conditions. While there was a greater decrease in vigilance in the sleep loss condition, a social jet lag effect in the control condition may have reduced the contrast with the sleep loss condition.54 The lack of change in jumping to conclusions bias suggests that this is not a route by which reduced sleep leads to increased psychotic experiences.

The mediation analysis sheds light on the link between disrupted sleep and psychotic experiences. This shows that negative affect is by far the most relevant factor in explaining the effect of sleep disruption on psychotic experiences. These findings join others in demonstrating the importance of negative affect in this relationship (in both clinical and nonclinical populations).55,56 Conversely, despite there being significant deficits in working memory following sleep loss, these changes did not mediate any significant proportion of the effect on psychotic experiences.

This is especially the case for paranoia, where 90% or more of the relationship was mediated by depression, anxiety, or stress. This pattern is identical to that found in a previous study by our group,57 which tested the mechanisms underlying paranoia by the administration of ∆9-tetrahydrocannabinol (the principal psychoactive ingredient of cannabis). As in the current study this induced increases in negative affect, working memory impairment and paranoia. The increased negative affect mediated the relationship between the experimental manipulation and increased paranoia, with no significant role for the working memory impairment. The significant mediation by both worry and negative self-belief in our study is also interesting in the context of clinical trials demonstrating that addressing these affective processes can improve symptoms of paranoia in individuals with persecutory delusions.58,59 These results emphasize the key role of negative affect and affective cognitions in paranoia,60 above neuropsychological factors.

The increase in hallucinations was less well accounted for by the mediators tested. Only one aspect of negative affect (stress) was identified as a possible mediator. This implies that different mechanistic factors may link sleep dysfunction to hallucinations, supporting the need to research and measure psychotic experiences individually rather than grouping together as a unitary “psychosis.”18,19,61

Limitations and Future Directions

Our study models insomnia by delaying sleep onset to decrease total sleep time. However, insomnia is also characterized by decreases in sleep efficiency (more time spent in bed awake) and decreased sleep continuity (waking during the night), which are not simulated in our manipulation. Nevertheless, we believe that the ecological validity of our design, wherein participants were required to go about their daily lives while suffering from the consequences of reduced sleep, offers a significant advantage in allowing us to replicate some aspects of insomnia as experienced by the clinical population. It may also be worth considering that a study comparing delayed onset vs disrupting continuity found that continuity disruptions resulted in even greater increases in negative affect than delayed sleep onset.33 Therefore, the current study may underestimate the impact of insomnia on mood and psychotic experiences.

It is worth mentioning that the actigraphic recording indicated incomplete adherence to the sleep restriction (5 h 15 of sleep, rather than 4 h). The analysis algorithm assumes periods of inactivity amount to sleep, therefore sleep can be overestimated when individuals are tired and less active. Regardless, as the study aimed to investigate the effects of reduced sleep (rather than precisely the effect of 4 h of sleep), the conclusions of the study remain.

Psychotic experiences were generally endorsed at a low level in our sample, and all changes remained in the nonclinical range. However, it should be noted that this was screened to be a “psychologically healthy” sample and that this was a mild sleep restriction manipulation. Furthermore, our interaction analysis shows that those endorsing more psychotic experiences at baseline had a greater relative increase in psychotic experiences after sleep restriction. Therefore, it could be hypothesized that the effect of sleep disruption on psychotic experiences in a more vulnerable group might be correspondingly more severe.

Besides the theoretical importance of these findings, there are some implications for clinical practice. Firstly, monitoring or treating insomnia in individuals at risk of psychosis may reduce transition to first-episode psychosis. Secondly, sleep problems may be maintaining negative emotional states, which themselves may be maintaining distressing psychotic experiences. Treatment of insomnia in psychosis has recently been shown to be highly effective12 and well-accepted by patients.62 However, while clinicians recognize the importance of sleep, sleep problems are rarely formally assessed or treated,63 and are traditionally considered a consequence of psychosis. The current study shows that sleep problems themselves may be causally relevant to the onset or maintenance of distressing psychotic experiences.

Supplementary Material

Supplementary material is available at Schizophrenia Bulletin online.

Funding

This study was supported by a Wellcome Trust Strategic Award (098461/Z/12/Z) to the University of Oxford Sleep and Circadian Neuroscience Institute (SCNi). SR is supported by an MRC Doctoral Studentship and a Balliol College Dervorguilla Scholarship (Oxford). DF is supported by an NIHR Research Professorship (RP-2014-05-003).

Supplementary Material

Supp1_StudyFig_13062017
Supp2_ExpandedMeans_13062017
Supp3_interactions_13062017

Acknowledgments

BS provides clinical consultancy to Sleepio (Big Health Ltd).

References

  • 1. Koyanagi A, Stickley A. The association between sleep problems and psychotic symptoms in the general population: a global perspective. Sleep. 2015;38:1875–1885. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Freeman D, Stahl D, McManus S et al. . Insomnia, worry, anxiety and depression as predictors of the occurrence and persistence of paranoid thinking. Soc Psychiatry Psychiatr Epidemiol. 2012;47:1195–1203. [DOI] [PubMed] [Google Scholar]
  • 3. Sheaves B, Bebbington PE, Guy M et al. . Insomnia and hallucinations in the general population: findings from the 2000 and 2007 British Psychiatric Morbidity Surveys. Psychiatry Res. 2016;241:141–146. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Freeman D, Pugh K, Vorontsova N, Southgate L. Insomnia and paranoia. Schizophr Res. 2009;108:280–284. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Afonso P, Brissos S, Cañas F, Bobes J, Bernardo-Fernandez I. Treatment adherence and quality of sleep in schizophrenia outpatients. Int J Psychiatry Clin Pract. 2014;18:70–76. [DOI] [PubMed] [Google Scholar]
  • 6. Afonso P, Brissos S, Figueira ML, Paiva T. Schizophrenia patients with predominantly positive symptoms have more disturbed sleep-wake cycles measured by actigraphy. Psychiatry Res. 2011;189:62–66. [DOI] [PubMed] [Google Scholar]
  • 7. Xiang YT, Weng YZ, Leung CM, Tang WK, Lai KY, Ungvari GS. Prevalence and correlates of insomnia and its impact on quality of life in Chinese schizophrenia patients. Sleep. 2009;32:105–109. [PMC free article] [PubMed] [Google Scholar]
  • 8. Birchwood M, Smith J, Macmillan F et al. . Predicting relapse in schizophrenia: the development and implementation of an early signs monitoring system using patients and families as observers, a preliminary investigation. Psychol Med. 1989;19:649–656. [DOI] [PubMed] [Google Scholar]
  • 9. Jørgensen P. Schizophrenic delusions: the detection of warning signals. Schizophr Res. 1998;32:17–22. [DOI] [PubMed] [Google Scholar]
  • 10. Ruhrmann S, Schultze-Lutter F, Salokangas RK et al. . Prediction of psychosis in adolescents and young adults at high risk: results from the prospective European prediction of psychosis study. Arch Gen Psychiatry. 2010;67:241–251. [DOI] [PubMed] [Google Scholar]
  • 11. Reeve S, Sheaves B, Freeman D. The role of sleep dysfunction in the occurrence of delusions and hallucinations: a systematic review. Clin Psychol Rev. 2015;42:96–115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Freeman D, Waite F, Startup H et al. . Efficacy of cognitive behavioural therapy for sleep improvement in patients with persistent delusions and hallucinations (BEST): a prospective, assessor-blind, randomised controlled pilot trial. Lancet Psychiatry. 2015;2:975–983. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Pearl JC. Causality New York Cambridge; 2000.
  • 14.Freeman D, Sheaves B, Goodwin GM, et al. An explanatory randomised controlled trial testing the effects of improving sleep on mental health: an interventionist-causal model approach with mediation analysis. Lancet Psychiatry. In press. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Kahn-Greene ET, Killgore DB, Kamimori GH, Balkin TJ, Killgore WD. The effects of sleep deprivation on symptoms of psychopathology in healthy adults. Sleep Med. 2007;8:215–221. [DOI] [PubMed] [Google Scholar]
  • 16. Hurdiel R, Pezé T, Daugherty J et al. . Combined effects of sleep deprivation and strenuous exercise on cognitive performances during The North Face® Ultra Trail du Mont Blanc® (UTMB®). J Sports Sci. 2015;33:670–674. [DOI] [PubMed] [Google Scholar]
  • 17. Petrovsky N, Ettinger U, Hill A et al. . Sleep deprivation disrupts prepulse inhibition and induces psychosis-like symptoms in healthy humans. J Neurosci. 2014;34:9134–9140. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Beards S, Fisher HL. The journey to psychosis: an exploration of specific psychological pathways. Soc Psychiatry Psychiatr Epidemiol. 2014;49:1541–1544. [DOI] [PubMed] [Google Scholar]
  • 19. van Os J. “Salience syndrome” replaces “schizophrenia” in DSM-V and ICD-11: psychiatry’s evidence-based entry into the 21st century?Acta Psychiatr Scand. 2009;120:363–372. [DOI] [PubMed] [Google Scholar]
  • 20. Garety PA, Kuipers E, Fowler D, Freeman D, Bebbington PE. A cognitive model of the positive symptoms of psychosis. Psychol Med. 2001;31:189–195. [DOI] [PubMed] [Google Scholar]
  • 21. Freeman D. Persecutory delusions: a cognitive perspective on understanding and treatment. Lancet Psychiatry. 2016;3:685–692. [DOI] [PubMed] [Google Scholar]
  • 22. Waters F, Allen P, Aleman A et al. . Auditory hallucinations in schizophrenia and nonschizophrenia populations: a review and integrated model of cognitive mechanisms. Schizophr Bull. 2012;38:683–693. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Fortier-Brochu E, Beaulieu-Bonneau S, Ivers H, Morin CM. Insomnia and daytime cognitive performance: a meta-analysis. Sleep Med Rev. 2012;16:83–94. [DOI] [PubMed] [Google Scholar]
  • 24. Alhola P, Polo-Kantola P. Sleep deprivation: impact on cognitive performance. Neuropsychiatr Dis Treat. 2007;3:553–567. [PMC free article] [PubMed] [Google Scholar]
  • 25. Garety P, Joyce E, Jolley S et al. . Neuropsychological functioning and jumping to conclusions in delusions. Schizophr Res. 2013;150:570–574. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Sternemann U, Schneider U, Leweke FM, Bevilacqua CM, Dietrich DE, Emrich HM. Pro-psychotic change of binocular depth inversion by sleep deprivation. Nervenarzt. 1997;68:593–596. [DOI] [PubMed] [Google Scholar]
  • 27. Notredame CE, Pins D, Deneve S, Jardri R. What visual illusions teach us about schizophrenia. Front Integr Neurosci. 2014;8:63. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Banks S, Van Dongen HP, Maislin G, Dinges DF. Neurobehavioral dynamics following chronic sleep restriction: dose–response effects of one night for recovery. Sleep. 2010;33:1013–1026. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Van Dongen HP, Maislin G, Mullington JM, Dinges DF. The cumulative cost of additional wakefulness: dose–response effects on neurobehavioral functions and sleep physiology from chronic sleep restriction and total sleep deprivation. Sleep. 2003;26:117–126. [DOI] [PubMed] [Google Scholar]
  • 30. Banks S, Dinges DF. Behavioral and physiological consequences of sleep restriction. J Clin Sleep Med. 2007;3:519–528. [PMC free article] [PubMed] [Google Scholar]
  • 31. Belenky G, Wesensten NJ, Thorne DR et al. . Patterns of performance degradation and restoration during sleep restriction and subsequent recovery: a sleep dose-response study. J Sleep Res. 2003;12:1–12. [DOI] [PubMed] [Google Scholar]
  • 32. Rupp TL, Wesensten NJ, Bliese PD, Balkin TJ. Banking sleep: realization of benefits during subsequent sleep restriction and recovery. Sleep. 2009;32:311–321. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Finan PH, Quartana PJ, Smith MT. The effects of sleep continuity disruption on positive mood and sleep architecture in healthy adults. Sleep. 2015;38:1735–1742. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Smith MT, Edwards RR, McCann UD, Haythornthwaite JA. The effects of sleep deprivation on pain inhibition and spontaneous pain in women. Sleep. 2007;30:494–505. [DOI] [PubMed] [Google Scholar]
  • 35. Duffy JF, Zitting K-M, Chinoy ED. Aging and circadian rhythms. Sleep Med Clin. 2015;10:423–434. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Buysse DJ, Reynolds CF III, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28:193–213. [DOI] [PubMed] [Google Scholar]
  • 37. Beck AT, Guth D, Steer RA, Ball R. Screening for major depression disorders in medical inpatients with the Beck Depression Inventory for Primary Care. Behav Res Ther. 1997;35:785–791. [DOI] [PubMed] [Google Scholar]
  • 38. Hirschfeld RMA, Holzer C, Calabrese JR et al. . Validity of the mood disorder questionnaire: a general population study. Am J Psychiatry. 2014;160:178–180. [DOI] [PubMed] [Google Scholar]
  • 39. Carney CE, Buysse DJ, Ancoli-Israel S et al. . The consensus sleep diary: standardizing prospective sleep self-monitoring. Sleep. 2012;35:287–302. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Inquisit 4.0.7.4 [Computer software]. 2014. http://www.millisecond.com/support/citation.aspx [Google Scholar]
  • 41. Ronald A, Sieradzka D, Cardno AG, Haworth CM, McGuire P, Freeman D. Characterization of psychotic experiences in adolescence using the specific psychotic experiences questionnaire: findings from a study of 5000 16-year-old twins. Schizophr Bull. 2014;40:868–877. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Lovibond SH, Lovibond PF.. Manual for the Depression Anxiety Stress Scales. Sydney: Psychology Foundation; 1995. [Google Scholar]
  • 43. Fowler D, Freeman D, Smith B et al. . The Brief Core Schema Scales (BCSS): psychometric properties and associations with paranoia and grandiosity in non-clinical and psychosis samples. Psychol Med. 2006;36:749–759. [DOI] [PubMed] [Google Scholar]
  • 44. Doherty MJ, Campbell NM, Tsuji H, Phillips WA. The Ebbinghaus illusion deceives adults but not young children. Dev Sci. 2010;13:714–721. [DOI] [PubMed] [Google Scholar]
  • 45. Balkin TJ, Bliese PD, Belenky G et al. . Comparative utility of instruments for monitoring sleepiness-related performance decrements in the operational environment. J Sleep Res. 2004;13:219–227. [DOI] [PubMed] [Google Scholar]
  • 46. Garety PA, Freeman D. Cognitive approaches to delusions: a critical review of theories and evidence. Br J Clin Psychol. 1999;38:113–154. [DOI] [PubMed] [Google Scholar]
  • 47. Ragland JD, Turetsky BI, Gur RC et al. . Working memory for complex figures: an fMRI comparison of letter and fractal n-back tasks. Neuropsychology. 2002;16:370–379. [PMC free article] [PubMed] [Google Scholar]
  • 48. StataCorp. Stata Statistical Software: Release 14. College Station, TX: StataCorp LP; 2015. [Google Scholar]
  • 49. IBM Corp. IBM SPSS Statistics for Windows, Version 22.0. Released 2013. Armonk, NY: IBM Corp. [Google Scholar]
  • 50. Feingold A. Effect sizes for growth-modeling analysis for controlled clinical trials in the same metric as for classical analysis. Psychol Methods. 2009;14:43–53. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51. Emsley R, Dunn G, White IR. Mediation and moderation of treatment effects in randomised controlled trials of complex interventions. Stat Methods Med Res. 2010;19:237–270. [DOI] [PubMed] [Google Scholar]
  • 52. Baron RM, Kenny DA. The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol. 1986;51:1173–1182. [DOI] [PubMed] [Google Scholar]
  • 53. Smith N, Freeman D, Kuipers E. Grandiose delusions: an experimental investigation of the delusion as defense. J Nerv Ment Dis. 2005;193:480–487. [DOI] [PubMed] [Google Scholar]
  • 54. Wittmann M, Dinich J, Merrow M, Roenneberg T. Social jetlag: misalignment of biological and social time. Chronobiol Int. 2006;23:497–509. [DOI] [PubMed] [Google Scholar]
  • 55. Smith B, Fowler D, Freeman D et al. . Emotion and psychosis: links between depression, self-esteem, negative schematic beliefs and delusions and hallucinations. Schizophr Res. 2006;86:181–188. [DOI] [PubMed] [Google Scholar]
  • 56. Vorontsova N, Garety P, Freeman D. Cognitive factors maintaining persecutory delusions in psychosis: the contribution of depression. J Abnorm Psychol. 2013;122:1121–1131. [DOI] [PubMed] [Google Scholar]
  • 57. Freeman D, Dunn G, Murray RM et al. . How cannabis causes paranoia: using the intravenous administration of ∆9-tetrahydrocannabinol (THC) to identify key cognitive mechanisms leading to paranoia. Schizophr Bull. 2015;41:391–399. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58. Foster C, Startup H, Potts L, Freeman D. A randomised controlled trial of a worry intervention for individuals with persistent persecutory delusions. J Behav Ther Exp Psychiatry. 2010;41:45–51. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59. Freeman D, Pugh K, Dunn G et al. . An early Phase II randomised controlled trial testing the effect on persecutory delusions of using CBT to reduce negative cognitions about the self: the potential benefits of enhancing self confidence. Schizophr Res. 2014;160:186–192. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60. Freeman D, Garety PA. Connecting neurosis and psychosis: the direct influence of emotion on delusions and hallucinations. Behav Res Ther. 2003;41:923–947. [DOI] [PubMed] [Google Scholar]
  • 61. Wigman JTW, Vollebergh WAM, Raaijmakers QAW et al. . The structure of the extended psychosis phenotype in early adolescence—a cross-sample replication. Schizophr Bull. 2011;37:850–860. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62. Waite F, Evans N, Myers E et al. . The patient experience of sleep problems and their treatment in the context of current delusions and hallucinations. Psychol Psychother. 2016;89:181–193. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63. Rehman A, Waite F, Sheaves B, Biello S, Freeman D, Gumley A. Clinician perceptions of sleep problems, and their treatment, in patients with non-affective psychosis. Psychosis. 2017; 9:129–139. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supp1_StudyFig_13062017
Supp2_ExpandedMeans_13062017
Supp3_interactions_13062017

Articles from Schizophrenia Bulletin are provided here courtesy of Oxford University Press

RESOURCES