The American Psychiatric Association (APA) has updated its Privacy Policy and Terms of Use, including with new information specifically addressed to individuals in the European Economic Area. As described in the Privacy Policy and Terms of Use, this website utilizes cookies, including for the purpose of offering an optimal online experience and services tailored to your preferences.

Please read the entire Privacy Policy and Terms of Use. By closing this message, browsing this website, continuing the navigation, or otherwise continuing to use the APA's websites, you confirm that you understand and accept the terms of the Privacy Policy and Terms of Use, including the utilization of cookies.

×
ArticlesFull Access

The Bidirectional Associations Between Psychotic Experiences and DSM-IV Mental Disorders

Abstract

Objective:

While it is now recognized that psychotic experiences are associated with an increased risk of later mental disorders, we lack a detailed understanding of the reciprocal time-lagged relationships between first onsets of psychotic experiences and mental disorders. Using data from World Health Organization World Mental Health (WMH) Surveys, the authors assessed the bidirectional temporal associations between psychotic experiences and mental disorders.

Method:

The WMH Surveys assessed lifetime prevalence and age at onset of psychotic experiences and 21 common DSM-IV mental disorders among 31,261 adult respondents from 18 countries. Discrete-time survival models were used to examine bivariate and multivariate associations between psychotic experiences and mental disorders.

Results:

Temporally primary psychotic experiences were significantly associated with subsequent first onset of eight of the 21 mental disorders (major depressive disorder, bipolar disorder, generalized anxiety disorder, social phobia, posttraumatic stress disorder, adult separation anxiety disorder, bulimia nervosa, and alcohol abuse), with odds ratios ranging from 1.3 (95% CI=1.2–1.5) for major depressive disorder to 2.0 (95% CI=1.5–2.6) for bipolar disorder. In contrast, 18 of 21 primary mental disorders were significantly associated with subsequent first onset of psychotic experiences, with odds ratios ranging from 1.5 (95% CI=1.0–2.1) for childhood separation anxiety disorder to 2.8 (95% CI=1.0–7.8) for anorexia nervosa.

Conclusions:

While temporally primary psychotic experiences are associated with an elevated risk of several subsequent mental disorders, these data show that most mental disorders are associated with an elevated risk of subsequent psychotic experiences. Further investigation of the underlying factors accounting for these time-order relationships may shed light on the etiology of psychotic experiences.

A recent study (1) based on data from 18 countries participating in the World Health Organization (WHO) World Mental Health (WMH) Surveys found that the lifetime prevalence of any psychotic experience among adults was 5.8% (SE=0.2). The WMH estimates were broadly consistent with prevalence estimates in other population-based studies (2, 3). The relatively high lifetime prevalence of psychotic experiences is much higher than the 0.7% mean morbid risk for schizophrenia (4), and it raises important questions about the clinical significance of psychotic experiences with respect to the risk of psychosis and mental disorders in general.

There is solid evidence from prospective studies that psychotic experiences are associated with an increased risk of later psychotic disorders (57). In addition, there is some evidence that psychotic experiences are associated with an increased risk of subsequent nonpsychotic mental disorders (8), but this field of research has for the most part examined associations between lifetime psychotic experiences and lifetime common mental disorders regardless of temporal priority. For example, there is evidence linking the lifetime prevalence of psychotic experience with high prevalence of depression and anxiety disorders (912), substance use disorders (13), and behavioral disorders (14). Despite these clues, there is a lack of empirical data on whether temporally primary common mental disorders are associated with an increased risk of subsequent first onset of psychotic experiences, and conversely, which mental disorders are predicted by pre-existing psychotic experiences.

We had the opportunity to carry out a preliminary exploration of the bidirectional time-lagged associations between psychotic experiences and mental disorders using retrospective age-at-onset reports within the WMH Surveys. The aims of this study were to explore the associations of temporally primary psychotic experiences with the subsequent onset of mental disorders and of temporally primary mental disorders with the subsequent onset of psychotic experiences.

Method

Samples

The WMH Surveys are a coordinated set of community epidemiological surveys administered in probability samples of the household population in countries throughout the world (15). Eighteen of the 29 WMH Surveys completed up to now included a psychosis module. These 18 countries are distributed across North and South America (the United States, Colombia, Mexico, Peru, São Paulo in Brazil), Africa (Nigeria), the Middle East (Iraq, Lebanon), Asia (Shenzhen in the People’s Republic of China), the South Pacific (New Zealand), and Europe (Belgium, France, Germany, Italy, the Netherlands, Portugal, Romania, Spain). All 18 surveys were based on multistage clustered area probability household sampling designs (see Table S1 in the data supplement that accompanies the online edition of this article). Individual country sample sizes ranged from 301 in France to 7,263 in New Zealand. The weighted average response rate across all 18 surveys was 72.1%.

In keeping with previous epidemiological studies of psychotic experiences (1, 13, 16, 17), we made the a priori decision to exclude individuals who had psychotic experiences but who also screened positive for possible schizophrenia/psychosis or manic-depression/mania (i.e., respondents who reported schizophrenia/psychosis or manic-depression/mania in response to the question “What did the doctor say was causing (this/these) experiences?” as well as those who ever took any antipsychotic medication for these symptoms). This resulted in the exclusion of 140 respondents (0.4% of all respondents), leaving 31,261 respondents for this study (see Table S1).

Procedures

All surveys were conducted in respondents’ homes by trained lay interviewers. Informed consent was obtained before beginning interviews in all countries. Procedures for obtaining informed consent, ethical approvals, and protection of individuals were monitored for compliance by the institutional review boards of the collaborating organizations in each country (18). Standardized interviewer training and quality control procedures were used consistently in the surveys. Full details of these procedures have been provided elsewhere (18, 19).

All WMH interviews had two parts. Part I, administered to all respondents, contained assessments related to core mental disorders. Part II included additional information relevant to a wide range of survey aims, including assessment of psychotic experiences. Part II was administered to all Part I respondents who met criteria for any DSM-IV mental disorder as well as a probability sample of other respondents. Within the different sites, items related to psychotic experiences were either administered to all respondents or to a random sample of Part II respondents. Part II respondents were weighted by the inverse of their probability of selection for Part II to adjust for differential sampling. Additional weights were used to adjust for differential probabilities of selection within households and nonresponse and to match the samples to population sociodemographic distributions. The weighted data are analyzed here.

Data Collection and Data Items

The diagnostic instrument used in the WMH Surveys was the WHO Composite International Diagnostic Interview (CIDI) (20), a validated fully structured diagnostic interview designed to assess the prevalence and correlates of a wide range of mental disorders according to the definitions and criteria of both the DSM-IV and ICD-10 diagnostic systems. WHO translation, back-translation, and harmonization protocols were used to adapt the CIDI for use in each participating country (21).

Psychotic experiences.

The CIDI psychosis module included questions about six types of psychotic experience—two related to hallucinations (visual hallucinations, auditory hallucinations) and four related to delusions (thought insertion/withdrawal, mind control/passivity, ideas of reference, plot to harm/follow) (see Tables S2A,B in the online data supplement). The module began by asking respondents if they ever had the psychotic experiences (e.g., “Have you ever seen something that wasn’t there that other people could not see?” “Have you ever heard any voices that other people said did not exist?”). Positive responses were then probed to determine whether the reported psychotic experiences ever occurred when the person was “not dreaming, not half asleep, or not under the influence of alcohol or drugs” (this probe question was included in the main question in the European Study of the Epidemiology of Mental Disorders countries). Respondents who reported psychotic experiences were then asked a further probe question about their age at the onset of the psychotic experiences (i.e., “How old were you the very first time [this/either of these things/any of these things] happened to you?”). In the 8.0% of cases where age at onset was missing, we used imputation to assign predicted values based on a set of predictors that included all the variables in the substantive models (22). Key summary statistics for the observed data (without imputation) and the entire data set after imputation are provided in Table S3 in the data supplement.

DSM-IV mental disorders.

The WMH Survey version of the CIDI assessed lifetime history of 21 mental disorders, including mood disorders (major depressive disorder and bipolar disorder); anxiety disorders (panic disorder, generalized anxiety disorder, specific phobia, social phobia, agoraphobia without panic, posttraumatic stress disorder [PTSD], and separation anxiety disorder, further divided into childhood and adult separation anxiety disorder); impulse control disorders (intermittent explosive disorder, attention deficit hyperactivity disorder [ADHD], oppositional defiant disorder, and conduct disorder); eating disorders (anorexia nervosa, bulimia nervosa, and binge eating disorder); and substance use disorders (alcohol abuse, alcohol dependence, drug abuse, and drug dependence). The disorders that require childhood onset (ADHD, oppositional defiant disorder, conduct disorder, separation anxiety disorder) were included in Part II and are limited to respondents in the age range 18–39 or 18–44 years (depending on site) because of concerns about recall bias among older respondents (23). All other disorders were assessed for the full sample age range. Clinical reappraisal studies indicate that lifetime diagnoses based on the CIDI have good concordance with diagnoses based on blind clinical interviews (24).

In keeping with previous research, standardized diagnostic hierarchy rules among the disorders assessed were applied where appropriate (25). In this approach, individuals are excluded from diagnoses for which they have sufficient symptoms to meet the criteria if they have another disorder that is thought to account for those symptoms. For example, someone who has alcohol dependence cannot be diagnosed with alcohol abuse, because dependence is a more severe diagnosis. Therefore, alcohol abuse with hierarchy means it cannot occur exclusively during episodes of alcohol dependence. However, given that the analysis was based on a person-year data array (see below), these diagnoses can change within persons over time. For example, a respondent with an onset of alcohol abuse at age 18 and alcohol dependence at age 22 would be coded as having alcohol abuse from ages 18 to 21 and as having alcohol dependence beginning at age 22.

Statistical Analysis

Discrete-time survival analyses (26) with person-year as the unit of analysis and time-varying measures for prior onset of other mental disorders were used to examine the predictive associations of temporally prior disorders with the subsequent onset of each mental disorder considered in the analysis. A person-year data set was created such that each year in the life of each respondent (up to and including the age at onset of the outcome disorder or age at interview, whichever came first) was treated as a separate observational record. We estimated survival models that examined bivariate associations between psychotic experiences and only one common mental disorder at a time (with adjustment for age cohort, sex, person-year, education, marital and employment status, and country) as well as multivariate models that included information on all temporally primary common mental disorders to predict the outcome disorder. The latter models included measures for both type and number of prior mental disorders. In the case of multivariate models of the associations between temporally primary psychotic experiences and later disorders, we controlled for the association of other temporally primary disorders, again including measures for both type and number of these disorders, in order to determine whether significant net associations existed between temporally primary psychotic experiences and subsequent onsets of the outcome disorders. Measures of number of temporally primary disorders (e.g., dummy predictors for exactly two, exactly three, and more than three such disorders) provide a coarse characterization of the nonadditive associations among the predictor disorders. Previous research has shown that the coefficients associated with these predictors are for the most part negative and significant (27), indicating the presence of “sub-additive” interactions among comorbid disorders. The latter suggests that the predictive associations of having multiple temporally prior disorders increase at a decreasing rate as the number of such disorders increases. A more detailed discussion of the logic of these models has been presented elsewhere (27).

All survival coefficients and standard errors were exponentiated to create odds ratios with 95% confidence intervals. Because the WMH Survey data were based on geographically clustered and weighted data, standard errors were estimated with the Taylor series linearization method (28) using the SUDAAN software package (29) to adjust for weighting and clustering. Statistical significance was evaluated using F tests or Wald chi-square tests based on design-corrected coefficient variance-covariance matrices. Statistical significance was evaluated consistently using two-tailed 0.05-level tests.

Results

Lifetime Prevalence of Mental Disorders Among Respondents With and Without Psychotic Experiences

We first examined lifetime prevalence of mental disorders among respondents with and without psychotic experiences regardless of the temporal order of psychotic experience and mental disorders (Table 1). Compared with those with no psychotic experiences, those with psychotic experiences had significantly higher odds of having 20 of the 21 mental disorders examined (based on lifetime prevalence). Odds ratios ranged from 1.6 (95% CI=1.2–2.1) for drug abuse to 3.6 (95% CI=2.6–5.0) for bulimia nervosa.

TABLE 1. Lifetime Prevalence of DSM-IV Mental Disorders Among Respondents With and Without Psychotic Experiences Across Samples From 18 Countries

Total Sample (N=31,261)Respondents With Lifetime Psychotic Experiences (N=2,385)Respondents Without Lifetime Psychotic Experiences (N=28,876)Odds Ratio Between Lifetime Psychotic Experiences and Lifetime Mental Disorder
Mental DisorderNa%bSENa%bSENa%bSEOdds Ratioc95% CI
Mood disorders
 Major depressive disorder with hierarchy6,82411.80.289725.41.25,92710.90.22.3*2.0–2.6
 Bipolar disorder (broad)1,2122.30.11966.50.61,0162.10.12.8*2.2–3.5
Anxiety disorders
 Panic disorder1,0191.80.11814.80.58381.60.12.7*2.2–3.4
 Generalized anxiety disorder with hierarchy1,8323.40.12768.00.61,5563.10.12.4*2.0–3.0
 Social phobia2,4954.70.138212.10.82,1134.30.12.4*2.0–2.8
 Specific phobia4,1088.40.263020.51.13,4787.60.22.6*2.3–3.0
 Agoraphobia without panic5571.00.11023.10.44550.90.12.8*2.0–3.9
 Posttraumatic stress disorder1,8113.70.132810.20.71,4833.30.13.0*2.5–3.6
 Separation anxiety disorder (child)4492.20.1905.70.83592.00.12.3*1.6–3.1
 Separation anxiety disorder (adult)8773.70.218611.11.06913.20.23.1*2.4–4.0
Impulse control disorders
 Intermittent explosive disorder with hierarchy1,0233.30.11538.40.78703.00.12.1*1.7–2.6
 Attention deficit hyperactivity disorder3681.50.1795.10.82891.30.12.6*1.8–3.9
 Oppositional defiant disorder with hierarchy3112.20.2685.80.92431.90.22.7*1.8–4.1
 Conduct disorder3292.10.2645.40.82651.80.22.3*1.6–3.4
Eating disorders
 Anorexia nervosa690.40.1130.70.3560.30.11.80.7–4.4
 Binge eating disorder with hierarchy5632.10.11285.00.54351.90.12.0*1.5–2.6
 Bulimia nervosa with hierarchy3641.10.1893.80.52750.90.13.6*2.6–5.0
Substance use disorders
 Alcohol abuse with hierarchy1,9085.10.22329.80.91,6764.80.21.7*1.4–2.0
 Alcohol dependence1,1702.40.12056.30.69652.10.12.3*1.8–2.8
 Drug abuse with hierarchy6441.80.1833.60.55611.70.11.6*1.2–2.1
 Drug dependence4811.20.11043.80.53771.00.12.7*1.9–3.6

aUnweighted number of respondents in each disorder category.

bEstimates were based on weighted data.

cBased on a series of logistic regressions, each one comparing respondents with psychotic experiences and respondents without psychotic experiences, adjusted for country.

*p<0.05 (two-tailed).

TABLE 1. Lifetime Prevalence of DSM-IV Mental Disorders Among Respondents With and Without Psychotic Experiences Across Samples From 18 Countries

Enlarge table

Temporal Priorities Between Onset Ages for Psychotic Experiences and Mental Disorders

Table 2 summarizes the temporal sequence between ages at onset of psychotic experiences compared with mental disorders within the subset of respondents who had both psychotic experiences and particular mental disorders. We present the proportion of respondents with 1) psychotic experience onset prior to particular mental disorder onset, 2) psychotic experience onset in the same year as the mental disorder, and 3) psychotic experience onset after the mental disorder onset, and then test whether the proportions with psychotic experience onset before or after mental disorders differ significantly (those with onset in the same year were excluded from this comparison). While the overall findings indicate that most psychotic experiences have their onset after mental disorders, this pattern varies between diagnoses. For example, the proportion of respondents with onset of psychotic experience prior to the onset of bipolar disorders was significantly higher (54%) than the proportion with onset of psychotic experience after the onset of bipolar disorder (39%) (χ2=6.0, p<0.02), while there was no difference of psychotic experience onset with respect to the onset of depressive disorders. By contrast, for many disorders (e.g., four of eight anxiety disorders and all of the impulse control disorders), higher proportions of respondents reported onset of psychotic experience after the onset of the mental disorder.

TABLE 2. Lifetime Prevalence of Psychotic Experience Onset Before and After Onset of DSM-IV Mental Disorder

Mental DisorderRespondents With Psychotic Experience and Mental DisorderRespondents With Both Lifetime Mental Disorder of Interest and Lifetime Psychotic Experiences
Psychotic Experience Onset Prior to Disorder OnsetPsychotic Experience Onset and Disorder Onset in the Same YearPsychotic Experience Onset After Disorder OnsetGoodness-of-Fit Test for Equal Proportiona
N%bSE%bSE%bSEχ2p
Mood disorders
 Major depressive disorder with hierarchy89744.52.010.21.245.42.20.10.767
 Bipolar disorder (broad)19653.75.07.22.539.15.06.00.024
Anxiety disorders
 Panic disorder18142.25.310.93.946.95.31.00.343
 Generalized anxiety disorder with hierarchy27646.14.26.81.947.14.30.00.839
 Social phobia38222.62.86.72.270.73.3113.0<0.001
 Specific phobia6306.71.24.50.988.91.5549.8<0.001
 Agoraphobia without panic10228.45.83.71.968.05.938.2<0.001
 Posttraumatic stress disorder32840.03.911.22.348.83.64.20.047
 Separation anxiety disorder (child)909.12.83.82.087.13.4163.5<0.001
 Separation anxiety disorder (adult)18646.75.07.51.945.85.00.00.893
Impulse control disorders
 Intermittent explosive disorder with hierarchy15325.43.35.32.369.43.9105.0<0.001
 Attention deficit hyperactivity disorder799.44.92.92.787.66.13,145.0<0.001
 Oppositional defiant disorder with hierarchy6817.65.81.11.181.35.9401.3<0.001
 Conduct disorder6417.75.94.93.477.57.254.0<0.001
Eating disorders
 Anorexia nervosa1323.613.676.413.6c
 Binge eating disorder with hierarchy12844.75.96.92.948.35.90.20.656
 Bulimia nervosa with hierarchy8949.86.38.44.041.86.41.40.266
Substance use disorders
 Alcohol abuse with hierarchy23250.14.62.61.247.34.60.50.494
 Alcohol dependence20543.34.46.32.650.44.82.80.109
 Drug abuse with hierarchy8355.06.93.22.041.86.836.60.026
 Drug dependence10448.26.37.63.844.26.22.50.192

aChi-square goodness-of-fit tests were performed on a reduced subset of respondents comparing percent with onset of psychotic experience prior to disorder onset versus percent with onset of psychotic experience after mental disorder onset.

bEstimates were based on weighted data.

cGoodness-of-fit test cannot be computed because of small expected counts (<5).

TABLE 2. Lifetime Prevalence of Psychotic Experience Onset Before and After Onset of DSM-IV Mental Disorder

Enlarge table

Time-Lagged Associations Between Lifetime Psychotic Experiences and Subsequent Onset of Mental Disorders

A limitation of the results in Table 2 is that they do not take into consideration differences in the age-at-onset distributions of the different disorders in relation to the age-at-onset distribution of psychotic experiences. This issue is addressed in Table 3 (a more detailed presentation of these analyses can be found in Table S4 in the data supplement), where we present the results from bivariate and multivariate models of the associations between psychotic experiences and subsequent mental disorders (i.e., the temporal order requires the onset of psychotic experience to precede that of the mental disorder of interest). In the bivariate analysis, the associations are adjusted for age cohort, gender, person-year, employment status, and country as well as time-varying education and marital status (without mental disorder comorbidity). In these models, preceding psychotic experiences were significantly associated with increased odds for 16 of the 21 mental disorders. It is noteworthy that three of the five remaining disorders have childhood onsets by definition (ADHD, conduct disorder, childhood separation anxiety disorder). These three disorders also had elevated odds ratios with temporally prior psychotic experiences, in the range of 1.7–2.5, but none of these elevated odds ratios was statistically significant because of the rarity of psychotic experiences occurring prior to the onsets of these disorders. In the multivariate models, we further adjusted for temporally prior comorbid mental disorders (i.e., adjusting for comorbid mental disorders that had onsets prior to the onset of the mental disorder of interest, but not necessarily prior to the onset of psychotic experiences). Respondents with psychotic experiences were significantly more likely to subsequently experience eight of 21 disorders (major depressive disorder, bipolar disorder, generalized anxiety disorder, social phobia, PTSD, adult separation anxiety disorder, bulimia nervosa, alcohol abuse), with odds ratios ranging from 1.3 (95% CI=1.2–1.5) for major depressive disorder to 2.0 (95% CI=1.5–2.6) for bipolar disorder. In the multivariate models presented in Table S4 in the data supplement, the odds ratios associated with number of temporally prior disorders were for the most part lower than 1.0, indicating a general pattern of sub-additive interactions, whereby the incremental association of each additional temporally primary disorder lessens in magnitude as the number of such disorders increases.

TABLE 3. Associations Between Lifetime Psychotic Experiences and Subsequent Onset of DSM-IV Mental Disorders

Bivariate ModelsaMultivariate Modelsb
Mental DisorderOdds Ratio95% CIOdds Ratio95% CI
Mood disorders
 Major depressive disorder with hierarchy1.6*1.4–1.91.3*1.2–1.5
 Bipolar disorder (broad)2.7*2.0–3.52.0*1.5–2.6
Anxiety disorders
 Panic disorder2.0*1.5–2.81.30.9–1.8
 Generalized anxiety disorder with hierarchy1.9*1.5–2.41.4*1.1–1.8
 Social phobia2.0*1.5–2.71.4*1.0–1.8
 Specific phobia1.00.7–1.50.90.6–1.3
 Agoraphobia without panic2.0*1.2–3.41.20.7–2.1
 Posttraumatic stress disorder2.0*1.6–2.61.3*1.1–1.7
 Separation anxiety disorder (child)1.70.9–3.21.20.6–2.3
 Separation anxiety disorder (adult)2.7*1.9–3.61.6*1.2–2.2
Impulse control disorders
 Intermittent explosive disorder with hierarchy1.5*1.1–2.11.20.9–1.6
 Attention deficit hyperactivity disorder2.50.8–7.41.80.6–5.6
 Oppositional defiant disorder with hierarchy2.6*1.2–5.72.10.9–5.0
 Conduct disorder1.90.9–4.11.20.5–3.0
Eating disorders
 Anorexia nervosa0.90.3–2.80.70.2–2.0
 Binge eating disorder with hierarchy1.7*1.1–2.51.00.7–1.6
 Bulimia nervosa with hierarchy3.2*2.2–4.81.9*1.2–3.1
Substance use disorders
 Alcohol abuse with hierarchy1.7*1.3–2.31.4*1.1–1.9
 Alcohol dependence1.9*1.4–2.71.10.8–1.7
 Drug abuse with hierarchy1.9*1.2–2.81.40.9–2.1
 Drug dependence2.3*1.5–3.41.40.9–2.0

aLifetime psychotic experiences was used as a predictor of mental disorder onset in separate discrete-time survival models controlling for age cohort, gender, person-years, country, time-varying education, time-varying marriage, and employment status.

bLifetime psychotic experiences was used as a predictor of mental disorder onset in separate discrete-time survival models including the controls specified above, other temporally primary mental disorders, and number of temporally primary mental disorders (2, 3, 4, 5+ disorders). Full details of these models are provided in Table S4 in the online data supplement.

*p<0.05 (two-tailed).

TABLE 3. Associations Between Lifetime Psychotic Experiences and Subsequent Onset of DSM-IV Mental Disorders

Enlarge table

Time-Lagged Associations Between Lifetime Mental Disorders and Subsequent Onset of Psychotic Experiences

Next we examined the associations between preceding mental disorders and the subsequent onset of psychotic experiences (Table 4). In bivariate models, 20 of the 21 mental disorders were significantly associated with elevated odds of subsequent psychotic experiences (drug abuse was the only disorder not associated with the later onset of psychotic experiences; note that our study excluded psychotic experiences that were experienced under the influence of alcohol or drugs). In multivariate models, we found that 18 of the 21 mental disorders were significantly associated with the later onset of psychotic experiences, with odds ratios ranging from 1.5 (95% CI=1.0–2.1) for childhood separation anxiety disorder to 2.8 (95% CI=1.0–7.8) for anorexia nervosa. As with the previous models predicting mental disorders after temporally primary psychotic experiences (see Table S4), the odds ratios associated with number of temporally primary mental disorders (2, 3, 4, 5+) were for the most part less than 1, confirming the existence of sub-additive interactions among mental disorders in predicting first onset of temporally secondary psychotic experiences. The joint associations of all the number-of-disorder coefficients were significant (χ2=31.1, df=4, p<0.001).

TABLE 4. Associations Between DSM-IV Mental Disorders and Subsequent Onset of Psychotic Experiences

Mental DisorderBivariate ModelsaMultivariate Modelb
Odds Ratio95% CIOdds Ratio95% CI
Mood disorders
 Major depressive disorder with hierarchy2.5*2.1–3.02.2*1.8–2.7
 Bipolar disorder (broad)2.6*1.9–3.71.9*1.3–2.9
Anxiety disorders
 Panic disorder2.5*1.8–3.41.6*1.2–2.3
 Generalized anxiety disorder with hierarchy2.4*1.8–3.11.7*1.2–2.3
 Social phobia2.2*1.8–2.61.5*1.2–2.0
 Specific phobia2.6*2.2–2.92.2*1.8–2.7
 Agoraphobia without panic2.5*1.8–3.61.9*1.3–2.7
 Posttraumatic stress disorder2.5*1.9–3.21.8*1.3–2.4
 Separation anxiety disorder (child)2.1*1.5–3.01.5*1.0–2.1
 Separation anxiety disorder (adult)2.8*2.1–3.91.9*1.3–2.8
Impulse control disorders
 Intermittent explosive disorder with hierarchy2.4*1.9–3.01.9*1.5–2.5
 Attention deficit hyperactivity disorder2.7*2.0–3.81.7*1.2–2.4
 Oppositional defiant disorder with hierarchy3.0*2.1–4.32.0*1.3–3.1
 Conduct disorder2.5*1.7–3.71.40.9–2.3
Eating disorders
 Anorexia nervosa2.9*1.1–8.12.8*1.0–7.8
 Binge eating disorder with hierarchy2.2*1.6–3.21.8*1.2–2.6
 Bulimia nervosa with hierarchy2.7*1.8–4.21.8*1.2–3.0
Substance use disorders
 Alcohol abuse with hierarchy1.8*1.4–2.51.8*1.3–2.5
 Alcohol dependence2.4*1.8–3.32.0*1.3–2.9
 Drug abuse with hierarchy1.51.0–2.31.10.7–1.8
 Drug dependence2.6*1.7–3.91.30.8–2.3
χ2p
Joint effect of all types of disorders (df=21)130.4<0.001
Difference between types of disorders (df=20)27.90.111
Odds Ratio95% CI
Number of disorders
 2 disorders1.00.7–1.3
 3 disorders0.5*0.4–0.8
 4 disorders0.4*0.2–0.8
 5+ disorders0.2*0.1–0.4
χ2p
Joint effect of all number of disorders (df=4)31.1<0.001

aEach lifetime mental disorder type was used as a predictor of psychotic experience onset in separate discrete-time survival models controlling for age cohort, gender, person-years, country, time-varying education, time-varying marriage, and employment status.

bThe model was estimated with dummy variables for all temporally primary mental disorders and number of temporally primary mental disorders entered simultaneously, including the controls specified above.

*p<0.05 (two-tailed).

TABLE 4. Associations Between DSM-IV Mental Disorders and Subsequent Onset of Psychotic Experiences

Enlarge table

The key findings from Tables 3 and 4 are summarized in Figure 1, which allows quick comparisons between 1) the odds ratios for the onset of mental disorders after the onset of psychotic experiences and 2) the odds ratios for the onset of psychotic experiences after the onset of mental disorders, when sorted by mental disorder type.

FIGURE 1.

FIGURE 1. Summary of the Bidirectional Association Between Psychotic Experiences and Mental Disordersa

a The odds ratios are drawn from the multivariate analyses presented in Tables 3 and 4. Bars to the left (in orange if significant) represent the odds ratio of the onset of mental disorders after the onset of psychotic experiences. Bars to the right (in blue if significant) represent the odds ratio of the onset of mental disorders after the onset of psychotic experiences. Odds ratios for nonsignificant associations are shown in gray.

Discussion

This large cross-national study demonstrates that individuals with psychotic experiences are at increased risk of experiencing a wide range of mental disorders at some stage in their life compared with other people in the population. The mental disorders include mood, anxiety, impulse control, eating, and substance use disorders. The lack of specificity in these associations, even in multivariate models, is consistent with the hypothesis that psychotic experiences may be nonspecific markers of a wide range of mental disorders (30).

Our temporally ordered analyses provide new insights into the bidirectional relationship between psychotic experiences and mental disorders. We found a strikingly consistent increased risk of psychotic experience onset after nearly all of the mental disorders we examined. That is, most mental disorders were associated with an increased risk of subsequent psychotic experiences, even in multivariate models. Of the 21 disorders examined in this study, only three externalizing disorders did not significantly predict subsequent psychotic experiences in the multivariate model (conduct disorder, drug abuse, and drug dependence).

We also found that the onset of psychotic experiences predicted significantly increased risk of subsequent major depressive disorder, bipolar disorder, generalized anxiety disorder, social phobia, PTSD, adult separation anxiety disorder, bulimia nervosa, and alcohol abuse. Thus, in addition to risk of psychotic disorders (8), an increased risk of subsequent mood disorders, some anxiety disorders, eating disorders, and substance use disorders is seen after onset of psychotic experiences. These findings call into the question the specificity of the association between psychotic experiences and psychotic disorders (31).

Curiously, in the analyses of psychotic experiences predicting subsequent onset of mental disorders, psychotic experiences predicted none of the four impulse control disorders and only one of the four substance use disorders (alcohol abuse), while psychotic experiences did predict a number of the mood and anxiety disorders. These findings reveal that the temporal relationships between psychotic experiences and mental disorders are bidirectional for some disorders. Importantly, this is not due to the different age-at-onset distributions of these disorders, as pervasively significant time-lagged bivariate associations were found across disorders. The differential was observed only when we estimated multivariate models in which we can see unique incremental associations of a single temporally primary disorder with a temporally secondary disorder net of the additive effects of comorbid disorders. Taking into account the temporal order of the variables of interest, sub-additive associations between comorbid mental disorders and psychotic experiences were identified in both analyses (that is, this feature is also bidirectional).

While this study has many strengths (e.g., large sample size, range of countries, uniform methodology for data collection), it also has several important limitations. We relied on lay interviewers to administer the questionnaire. We excluded individuals who were screen-positive for possible psychotic disorders (based on self-report of diagnoses or use of antipsychotic medications to treat psychotic experiences). However, we did not have access to valid measures of clinical psychotic disorders, an important consideration for understanding the utility of psychotic experiences as a predictor of later psychotic disorders. We relied on retrospective reports about age at onset, which may have led to recall bias despite the use of special age-at-onset probes in the CIDI that have been shown to improve the accuracy of retrospective age-at-onset reporting (32). And we estimated models that assumed that predictive associations were additive and independent of age at onset, time since onset, and, in the models for temporally primary psychotic experiences predicting later disorders, interactions of psychotic experiences with disorders occurring prior to the onset of the outcome disorders. More complex models that relax these simplifying assumptions might well shed light on the asymmetries found here in the time-lagged multivariate associations between psychotic experiences and other disorders. Large prospective surveys would be needed to confirm the temporal order between the variables examined in this study. An additional caution is that even in the presence of unequivocal information on temporal ordering of onsets, we cannot infer causality, as common unmeasured causes may influence associations between temporally primary and secondary disorders (see below).

Future Directions

Our findings provide a heuristic framework for the generation of new hypotheses related to psychotic experiences, which we will explore in future studies. For example, it will be of interest to see what proportion of early- versus late-onset psychotic experiences arise either de novo or after the onset of a mental disorder, as well as the extent to which early-onset psychotic experiences and psychotic experiences of different types (e.g., delusions versus hallucinations) predict the subsequent first onset of different types of mental disorders and do so differentially as a complex function of age at onset, time since onset, and existence of complex comorbidities. It is also feasible that an underlying diathesis may lead to both an increased risk of psychotic experiences and an increased risk of mental disorders (regardless of the temporal order of these variables). It is plausible that familial/genetic factors or adverse early life exposures (e.g., childhood adversities, cannabis use) could lead to both an increased risk of later mental disorders and an increased risk of psychotic experiences (3335). The comprehensive nature of the WMH Survey will allow us to explore these and other related hypotheses in future analyses, albeit within the context of the inherent limitations of cross-sectional data assessed with fully structured diagnostic interviews.

Conclusions

Individuals with psychotic experiences were significantly more likely to have subsequent first onsets of eight of 21 common mental disorders (major depressive disorder, bipolar disorder, generalized anxiety disorder, social phobia, PTSD, separation anxiety disorder (adult), bulimia nervosa, alcohol abuse). Conversely, most temporally primary mental disorders were significantly associated with the subsequent first onset of psychotic experiences. Our findings have important implications for the understanding of how psychotic experiences fit into the structure of psychopathology and within psychiatric taxonomy. A better understanding of how psychotic experiences unfold across the lifespan and interact with mental disorders may provide clues to help guide clinical management.

From the Queensland Centre for Mental Health Research, Park Centre for Mental Health, Wacol, Australia; the Discipline of Psychiatry and the Queensland Brain Institute, University of Queensland, St. Lucia, Australia; the College of Medicine, Al-Qadisiya University, Diwania Governorate, Iraq; the Department and Institute of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil; the Department of Epidemiologic and Psychosocial Research, National Institute of Psychiatry Ramon de la Fuente, Mexico City; the Department of Psychiatry, Stony Brook University School of Medicine, Stony Brook, N.Y.; the Centre for Mental Health, University of Melbourne, Melbourne, Australia; the Chronic Diseases Research Center (CEDOC) and the Department of Mental Health, Faculdade de Ciências Médicas, Universidade Nova de Lisboa, Lisbon, Portugal; the Department of Health Care Policy, Harvard University, Boston; the Department of Psychiatry, University Hospital Gasthuisberg, Katholieke Universiteit Leuven, Leuven, Belgium; the Institute for Development, Research, Advocacy, and Applied Care (IDRAAC), Beirut, Lebanon; the National School of Public Health, Management, and Professional Development, Bucharest, Romania; IRCCS St. John of God Clinical Research Centre, IRCCS Centro S. Giovanni di Dio Fatebenefratelli, Brescia, Italy; the Department of Psychiatry, University College Hospital, Ibadan, Nigeria; Parc Sanitari Sant Joan de Deïu, CIBERSAM, Sant Boi de Llobregat, Barcelona, Spain; Trimbos-Instituut, Netherlands Institute of Mental Health and Addiction, Utrecht; the Shenzhen Insitute of Mental Health and Shenzhen Kanging Hospital, Shenzhen, China; Ecole des Hautes Etudes en Santé Publique (EHESP), Paris Descartes University, Paris; the Department of Psychological Medicine, Dunedin School of Medicine, University of Otago, New Zealand; IMIB-Arrixaca, CIBERESP-Murcia, Subdirección General de Salud Mental y Asistencia Psiquiátrica, Servicio Murciano de Salud, El Palmar (Murcia), Spain; Colegio Mayor de Cundinamarca University, Bogotá, Colombia; and the Department of Psychiatry, Virginia Commonwealth University, Richmond.
Address correspondence to Dr. McGrath ().

The authors are listed alphabetically, with the exception of the first two and the last two.

Each World Mental Health (WMH) country obtained funding for its own survey. The São Paulo Megacity Mental Health Survey is supported by Thematic Project Grant 03/00 204-3 from the State of São Paulo Research Foundation; the Shenzhen Mental Health Survey, by the Shenzhen Bureau of Health and the Shenzhen Bureau of Science, Technology, and Information; the Colombian National Study of Mental Health, by the Ministry of Social Protection and the Saldarriaga Concha Foundation; the European Study of the Epidemiology of Mental Disorders project, by contracts QLG5-1999-01042 and 2004123 from the European Commission, the Fondo de Investigacion Sanitaria (the Piedmont Region [Italy]), grant FIS 00/0028 from the Instituto de Salud Carlos III (Spain), grant SAF 2000-158-CE from the Ministry of Science and Technology (Spain), grants Centro de Investigacion Biomedica en Red CB06/02/0046 and Redes Tematicas de Investigacion Cooperativa en Salud RD06/0011 REM-TAP from the Department of Health, Generalitat de Catalunya, Spain, Instituto de Salud Carlos III, other local agencies, and an unrestricted educational grant from GlaxoSmithKline; the Iraq Mental Health Survey, by funding from the Japanese and European funds through the United Nations Development Group Iraq Trust Fund; the Lebanese National Mental Health Survey, by the Lebanese Ministry of Public Health, the World Health Organization (WHO) (Lebanon), anonymous private donations to the Institute for Development, Research, Advocacy, and Applied Care, Lebanon, and unrestricted grants from Janssen-Cilag, Eli Lilly, GlaxoSmithKline, Roche, and Novartis; the Mexican National Comorbidity Survey, grant INPRFMDIES 4280 from the National Institute of Psychiatry Ramon de la Fuente, grant CONACyT-G30544-H from the National Council on Science and Technology, and supplemental support from the Pan American Health Organization; the New Zealand Mental Health Survey, by the New Zealand Ministry of Health, Alcohol Advisory Council, and the Health Research Council; the Nigerian Survey of Mental Health and Well-Being, by WHO (Geneva), WHO (Nigeria), and the Federal Ministry of Health, Abuja; the Peruvian WMH Study, by the National Institutes of Health of the Ministry of Health of Peru; and the U.S. National Comorbidity Survey Replication, by NIMH grant U01-MH60220, the National Institute on Drug Abuse, the Substance Abuse and Mental Health Services Administration, grant 044708 from the Robert Wood Johnson Foundation, and the John W. Alden Trust. The Portuguese Mental Health Study was carried out by the Department of Mental Health, Faculty of Medical Sciences, NOVA University of Lisbon, with the collaboration of the Portuguese Catholic University, and was funded by the Champalimaud Foundation, the Gulbenkian Foundation, the Foundation for Science and Technology, and the Ministry of Health. The Romania WMH study projects “Policies in Mental Health Area” and “National Study Regarding Mental Health and Services Use” were carried out by the National School of Public Health and Health Services Management (formerly the National Institute for Research and Development in Health, now the National School of Public Health Management and Professional Development, Bucharest), with technical support from Metro Media Transylvania, the National Institute of Statistics–National Center for Training in Statistics, Cheyenne Services SRL, Statistics Netherlands and were funded by the Ministry of Public Health (formerly the Ministry of Health) with supplemental support from Eli Lilly Romania SRL. The surveys discussed in this article were administered in conjunction with the WHO WMH Survey Initiative. The WMH staff assisted with instrumentation, fieldwork, and data analysis, and these activities were supported by NIMH grant R01MH070884, the John D. and Catherine T. MacArthur Foundation, the Pfizer Foundation, U.S. Public Health Service grants R13-MH066849, R01-MH069864, and R01 DA016558, Fogarty International Research Collaboration award R01-TW006481 from the Fogarty International Center, the Pan American Health Organization, Eli Lilly, Ortho-McNeil, GlaxoSmithKline, and Bristol-Myers Squibb.

The views and opinions expressed in this report are those of the authors and should not be construed to represent the views or policies of WHO or of any of the sponsoring organizations or agencies.

Dr. Demyttenaere has served on advisory boards or speakers bureaus for Eli Lilly, Lundbeck, and Servier. Dr. Haro has served on advisory boards for Eli Lilly, Lundbeck, Otsuka, and Roche. Dr. Kessler has served as a consultant for Hoffman-La Roche, Johnson & Johnson Wellness and Prevention, and Sanofi and has served on advisory boards for Mensante Corporation, Plus One Health Management, Lake Nona Institute, and U.S. Preventive Medicine. The other authors report no financial relationships with commercial interests.

Dr. Bromet has funding from CDC/NIOSH (U01OH010712; R. Kotov, principal investigator; U01OH010718, B. Luft, principal investigator; and U01OH010718, A. Gonzalez, principal investigator) and NIA (R01AG049953, S. Clouston, principal investigator). Dr. McGrath received a John Cade Fellowship (APP1056929) from the National Health and Medical Research Council.

References

1 McGrath JJ, Saha S, Al-Hamzawi A, et al.: Psychotic experiences in the general population: a cross-national analysis based on 31,261 respondents from 18 countries. JAMA Psychiatry 2015; 72:697–705Crossref, MedlineGoogle Scholar

2 Nuevo R, Chatterji S, Verdes E, et al.: The continuum of psychotic symptoms in the general population: a cross-national study. Schizophr Bull 2012; 38:475–485Crossref, MedlineGoogle Scholar

3 Linscott RJ, van Os J: An updated and conservative systematic review and meta-analysis of epidemiological evidence on psychotic experiences in children and adults: on the pathway from proneness to persistence to dimensional expression across mental disorders. Psychol Med 2013; 43:1133–1149Crossref, MedlineGoogle Scholar

4 Saha S, Chant D, Welham J, et al.: A systematic review of the prevalence of schizophrenia. Schizophr Res 2006; 81:182–183Google Scholar

5 Poulton R, Caspi A, Moffitt TE, et al.: Children’s self-reported psychotic symptoms and adult schizophreniform disorder: a 15-year longitudinal study. Arch Gen Psychiatry 2000; 57:1053–1058Crossref, MedlineGoogle Scholar

6 Werbeloff N, Drukker M, Dohrenwend BP, et al.: Self-reported attenuated psychotic symptoms as forerunners of severe mental disorders later in life. Arch Gen Psychiatry 2012; 69:467–475Crossref, MedlineGoogle Scholar

7 Hanssen M, Bak M, Bijl R, et al.: The incidence and outcome of subclinical psychotic experiences in the general population. Br J Clin Psychol 2005; 44:181–191Crossref, MedlineGoogle Scholar

8 Kaymaz N, Drukker M, Lieb R, et al.: Do subthreshold psychotic experiences predict clinical outcomes in unselected non-help-seeking population-based samples? A systematic review and meta-analysis, enriched with new results. Psychol Med 2012; 42:2239–2253Crossref, MedlineGoogle Scholar

9 Armando M, Nelson B, Yung AR, et al.: Psychotic-like experiences and correlation with distress and depressive symptoms in a community sample of adolescents and young adults. Schizophr Res 2010; 119:258–265Crossref, MedlineGoogle Scholar

10 Saha S, Scott J, Varghese D, et al.: Anxiety and depressive disorders are associated with delusional-like experiences: a replication study based on a National Survey of Mental Health and Wellbeing. BMJ Open 2012; 2:2CrossrefGoogle Scholar

11 Stochl J, Khandaker GM, Lewis G, et al.: Mood, anxiety, and psychotic phenomena measure a common psychopathological factor. Psychol Med 2015; 45:1483–1493Crossref, MedlineGoogle Scholar

12 Varghese D, Scott J, Welham J, et al.: Psychotic-like experiences in major depression and anxiety disorders: a population-based survey in young adults. Schizophr Bull 2011; 37:389–393Crossref, MedlineGoogle Scholar

13 Saha S, Scott JG, Varghese D, et al.: The association between delusional-like experiences, and tobacco, alcohol, or cannabis use: a nationwide population-based survey. BMC Psychiatry 2011; 11:202–210Crossref, MedlineGoogle Scholar

14 Kelleher I, Keeley H, Corcoran P, et al.: Clinicopathological significance of psychotic experiences in non-psychotic young people: evidence from four population-based studies. Br J Psychiatry 2012; 201:26–32Crossref, MedlineGoogle Scholar

15 Kessler RC, Üstün TB: The WHO World Mental Health Surveys: Global Perspectives on the Epidemiology of Mental Disorders. New York, Cambridge University Press, 2008Google Scholar

16 Saha S, Scott JG, Johnston AK, et al.: The association between delusional-like experiences and suicidal thoughts and behaviour. Schizophr Res 2011; 132:197–202Crossref, MedlineGoogle Scholar

17 Scott J, Chant D, Andrews G, et al.: Association between trauma exposure and delusional experiences in a large community-based sample. Br J Psychiatry 2007; 190:339–343Crossref, MedlineGoogle Scholar

18 Kessler RC, Üstün TB: The World Health Organization Composite International Diagnostic Interview, in The WHO World Mental Health Surveys: Global Perspectives on the Epidemiology of Mental Disorders. Edited by Kessler RC, Üstün TB. New York, Cambridge University Press, 2008, pp 58–90Google Scholar

19 Kessler RC, Haro JM, Heeringa SG, et al.: The World Health Organization World Mental Health Survey Initiative. Epidemiol Psichiatr Soc 2006; 15:161–166Crossref, MedlineGoogle Scholar

20 Kessler RC, Üstün TB: The World Mental Health (WMH) Survey Initiative Version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI). Int J Methods Psychiatr Res 2004; 13:93–121Crossref, MedlineGoogle Scholar

21 Harkness J, Pennell B, Villar A, et al.: Translation procedures and translation assessment in the World Mental Health Survey Initiative, in The WHO World Mental Health Surveys: Global Perspectives on the Epidemiology of Mental Disorders. Edited by Kessler RC, Üstün TB. New York, Cambridge University Press, 2008Google Scholar

22 Rubin DB: Multiple Imputation for Nonresponse in Surveys. New York, John Wiley & Sons, 1987CrossrefGoogle Scholar

23 Kessler RC, Angermeyer M, Anthony JC, et al.: Lifetime prevalence and age-of-onset distributions of mental disorders in the World Health Organization’s World Mental Health Survey Initiative. World Psychiatry 2007; 6:168–176MedlineGoogle Scholar

24 Haro JM, Arbabzadeh-Bouchez S, Brugha TS, et al.: Concordance of the Composite International Diagnostic Interview Version 3.0 (CIDI 3.0) with standardized clinical assessments in the WHO World Mental Health surveys. Int J Methods Psychiatr Res 2006; 15:167–180Crossref, MedlineGoogle Scholar

25 Kessler RC, Chiu WT, Demler O, et al.: Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry 2005; 62:617–627Crossref, MedlineGoogle Scholar

26 Singer JD, Willett JB: It’s about time: using discrete-time survival analysis to study duration and the timing of events. J Educ Stat 1993; 18:155–195CrossrefGoogle Scholar

27 Kessler RC, Ormel J, Petukhova M, et al.: Development of lifetime comorbidity in the World Health Organization World Mental Health surveys. Arch Gen Psychiatry 2011; 68:90–100Crossref, MedlineGoogle Scholar

28 Wolter KM: Introduction to Variance Estimation. New York, Springer-Verlag, 1985Google Scholar

29 RTI International: SUDAAN: Software for the Statistical Analysis of Correlated Data. Research Triangle Park, NC, 1999Google Scholar

30 Saha S, Scott JG, Varghese D, et al.: The association between general psychological distress and delusional-like experiences: a large population-based study. Schizophr Res 2011; 127:246–251Crossref, MedlineGoogle Scholar

31 Kelleher I, Cannon M: Whither the psychosis-neurosis borderline. Schizophr Bull 2014; 40:266–268Crossref, MedlineGoogle Scholar

32 Knäuper B, Cannell CF, Schwarz N, et al.: Improving accuracy of major depression age-of-onset reports in the US National Comorbidity Survey. Int J Methods Psychiatr Res 1999; 8:39–48CrossrefGoogle Scholar

33 Varese F, Smeets F, Drukker M, et al.: Childhood adversities increase the risk of psychosis: a meta-analysis of patient-control, prospective, and cross-sectional cohort studies. Schizophr Bull 2012; 38:661–671Crossref, MedlineGoogle Scholar

34 McGrath J, Welham J, Scott J, et al.: Association between cannabis use and psychosis-related outcomes using sibling pair analysis in a cohort of young adults. Arch Gen Psychiatry 2010; 67:440–447Crossref, MedlineGoogle Scholar

35 van Laar M, van Dorsselaer S, Monshouwer K, et al.: Does cannabis use predict the first incidence of mood and anxiety disorders in the adult population? Addiction 2007; 102:1251–1260Crossref, MedlineGoogle Scholar