Abstract
IMPORTANCE
Community-based studies have linked psychotic experiences (PEs) with increased risks of suicidal thoughts and behaviors (STBs). However, it is not known if these associations vary across the life-course or if mental disorders (antecedent to the STBs) contribute to these associations.
OBJECTIVE
To examine the temporal association between PEs and subsequent STBs across the life span as well as the influence of mental disorders (antecedent to the STBs) on these associations.
DESIGN, SETTING, AND PARTICIPANTS
A total of 33,370 adult respondents across 19 countries from the WHO World Mental Health (WMH) Surveys were assessed for PEs, STBs (ideation, plans, and attempts), and 21 DSM-IV mental disorders. Discrete-time survival analysis was used to investigate the associations of PEs with subsequent onsets of STBs.
MAIN OUTCOMES AND MEASURES
Prevalence and frequency of STBs with PEs, and odds ratios and 95%CIs.
Results
Of 33 370 included participants, among those with PEs (n = 2488), the lifetime prevalence (SE) of suicidal ideation, plans, and attempts was 28.5%(1.3), 10.8%(0.7), and 10.2%(0.7), respectively. Respondents with 1 or more PEs had 2-fold increased odds of subsequent STBs after adjusting for antecedent or intervening mental disorders (suicidal ideation: odds ratio, 2.2; 95%CI, 1.8-2.6; suicide plans: odds ratio, 2.1; 95%CI, 1.7-2.6; and suicide attempts: odds ratio, 1.9; 95%CI, 1.5-2.5). There were significant dose-response relationships of number of PE types with subsequent STBs that persisted after adjustment for mental disorders. Although PEs were significant predictors of subsequent STB onset across all life stages, associations were strongest in individuals 12 years and younger. After adjustment for antecedent mental disorders, the overall population attributable risk proportions for lifetime suicidal ideation, plans, and attempts associated with temporally prior PEs were 5.3%, 5.7%, and 4.8%, respectively.
Conclusions
PEs are associated with elevated odds of subsequent STBs across the life-course that cannot be explained by antecedent mental disorders. These results highlight the importance of including information about PEs in screening instruments designed to predict STBs.
Prior studies suggest that psychotic experiences (PEs) are associated with an elevated risk of suicidal thoughts and behaviors (STBs). A recent meta-analysis by Honings et al.1 based on 21 studies reported a three-fold increased risk of STBs in people with PEs (OR=3.2, 95% CI=2.3-4.4). Other studies have documented a significant dose-response relationship between number of PEs and increased odds of STBs.2–5 Worryingly, prospective studies of school-age children have reported strong associations between PEs and suicide attempts, with children with PEs having an approximately 11-fold increased odds of suicide attempts during the following 12 months (OR=11.3, 95% CI= 4.4-28.6) compared to those without.6
Despite the growing body of evidence linking the presence of PEs with STBs, several research questions warrant closer attention. First, there is considerable variation in effect size estimates for these associations across studies, likely due to methodological and analytic differences.1,7,8 Thus, it would be informative to examine these association across different sites using similar methods. Second, prior studies have documented that most common mental disorders are associated with increased odds of both PEs9 and STBs.10–12 However, it is unclear whether the presence of mental disorders explains the associations of PEs with subsequent STBs.13 Third, although it has generally been assumed that mental disorders could increase the risk of each of three main STB outcomes (i.e., ideation, plans, attempts), recent studies have shown that only a subset of those with ideation also have suicidal plans and attempts.14,15 To date, studies have not yet examined the role of PEs with respect to the odds of transitioning between ideation, plans and attempts.
Fourth, there is evidence to suggest that the association between PEs and STBs may be stronger in samples based on children,6 compared to estimates based on adult samples.1 Thus, it would be of interest to examine if the strength of the association between PEs and STBs differed across age groups within one study. If children and/or adolescents with PEs are differentially prone to STBs compared to older age groups, this could have important clinical implications for screening in pediatric and adolescent settings.6 Fifth, there is considerable uncertainty about the population attributable risk proportions (PARPs) for STBs that are associated with PEs. For example, Kelleher et al.6 have suggested that 56-75% of suicide attempts among 13-16 year old were attributable to PEs, whereas DeVylder et al.16 reported that about 29% of suicide attempts were attributable to PEs among US adults. Accurate and age range specific estimates of these PARPs are important for policy-making and prevention purposes.
The specific aims of this study were to examine: (a) the temporal association between PEs and subsequent STBs in a large cross-national study; (b) the relationships of number of PE types and annualized frequency of PEs with subsequent STBs; (c) the influence of mental disorders (antecedent to the STBs) on these associations; (d) variations in the associations across the life span; (e) the association of PEs with suicidal ideation and with the occurrence of plans and attempts among ideators; and finally (f) the PARPs of various STBs.
METHOD
Samples
The data derived from the WHO World Mental Health (WMH) surveys, a coordinated set of community surveys administered in probability samples of adult respondents (18+) in countries throughout the world.17 We included the 19 WMH surveys that administered both the Psychosis and Suicidality Modules STBs (N=33,370). These surveys are distributed across North and South America (Argentina, Colombia, Mexico, Peru, Sao Paulo in Brazil, USA); 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). The majority of these surveys were based on multi-stage, clustered area probability household sampling designs, the exceptions being Belgium, Germany and Italy, which used municipal resident registries to select respondents (Supplementary table S1). The weighted (by sample size) average response rate across the 19 surveys was 72.3%.
In order to focus on the correlates of PEs in those without psychotic disorders, we made the a priori decision to exclude individuals who had PEs but who also screened positive for possible schizophrenia/psychosis and manic-depression/mania. Thus, in keeping with previous studies of PEs,3,9,18,19 we excluded respondents who (a) reported (1) schizophrenia/psychosis or (2) manic-depression/mania in response to the question “What did the doctor say was causing (this/these) experiences?”; and (b) those who ever took an antipsychotic medication for these symptoms. This resulted in the exclusion of 146 respondents (0.4% of all respondents), leaving 33,370 respondents for this study.
Procedures
All WMH interviews were conducted in the homes of respondents by trained lay interviewers. Informed consent was obtained before beginning interviews in all countries. Procedures for obtaining informed consent and protecting individuals (ethical approvals) were approved and monitored for compliance by the institutional review boards of the collaborating organizations in each country. Standardized interviewer training and quality control procedures were used consistently in the surveys. Full details of these procedures are described elsewhere.20,21
Interviews were administered face to face in two parts.20 Part 1, which assessed a core set of mental disorders, was administered to all respondents. Part 2, which assessed additional mental disorders, STBs, and PEs, was administered to respondents who met lifetime criteria for any Part I disorder, and a random proportion of respondents without any Part 1 disorder. Part 2 respondents were weighted by the inverse of their probability of selection to adjust for differential sampling, and therefore provide representative data on the target adult general population. Details about sampling methods are available elsewhere.17 Additional weights were used to adjust for differential probabilities of selection within households, nonresponse, and to match the samples to population socio-demographic distributions.
Measures
The WMH surveys administered the WHO Composite International Diagnostic Interview (CIDI),21 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 DSM-IV and ICD-10. Translation, back-translation, and harmonisation protocols were used to adapt the CIDI for use in each participating country.
Psychotic experiences (PEs)
The CIDI Psychosis Module included questions about six PE types – two related to hallucinatory experiences and four related to delusional experiences. We excluded PEs experienced while dreaming, half-asleep or under the influence of alcohol or drugs (Supplementary tables S2a and S2b). In this paper, we present estimates of STBs for “Any PEs” only (i.e., not individual types of PEs). In addition, we included two key PE variables: (a) number of PE types; and (b) an annualized frequency metric based on the frequency of PE episodes (i.e., the count of PE occurrences per year). We derived the latter by dividing the total number of PE episodes by the time since onset of the first PE (age at interview minus age of onset plus 1 in order to avoid zero as a denominator). Age-of-onset of PEs was also assessed.
Suicidality
Lifetime STBs were assessed using the CIDI Suicidality Module.17 Separate questions were asked about the lifetime occurrence of suicidal ideation (“Have you ever seriously thought about committing suicide?”), suicide plans (“Have you ever made a plan for committing suicide?”) and suicide attempt (“Have you ever attempted suicide?”). Information on the age at first occurrence for each of these outcomes was obtained. Consistent with our goals of examining relationships of PE with a continuum of suicidal behaviors, we considered each of these three primary outcomes in the total sample. In addition, we examined three secondary nested STB outcomes: (1) suicide plans among respondents with ideation, (2) suicide attempts among those with both ideation and a plan (i.e. planned attempts); and (3) suicide attempts among respondents with ideation but without a plan (i.e. unplanned attempts).
Mental disorders
The WMH version of the CIDI assessed lifetime history of 21 mental disorders broadly classified into mood disorders; anxiety disorders; behavior disorders; eating disorders and substance use disorders (see supplementary table S2c). Full details are given in several WMH publications including two recent papers on PEs.9,22 Clinical reappraisal studies indicate that lifetime diagnoses based on the CIDI have good concordance with diagnoses based on blinded clinical interviews.23 In keeping with our previous research, standardised diagnostic hierarchy rules among the disorders assessed were applied where appropriate.9
Statistical Analysis
Lifetime prevalences of PEs, STBs, and STBs among respondents with and without PEs were analysed using descriptive statistics. The predictive associations of temporally prior PEs with each STB outcome were estimated using discrete-time survival models with person-year as the unit of analysis. A person-year dataset was constructed where each year in the life of each respondent (up to and including the age of STB onset or age at interview, whichever came first) was treated as a separate observational record, with the year of STB onset coded 1 and earlier years coded 0. PEs were coded 1 a year after the first PE onset to ensure that a PE occurring in the same year as STBs did not count as a predictor. We estimated models of PE and subsequent STBs adjusting for: (a) respondent’s age at interview, gender, person-year dummies, and country, and (b) additionally for 21 antecedent mental disorders (i.e., mental disorders that had onsets prior to the STBs) to examine the influence of mental disorders on the association between PEs and STBs.
Next, we re-estimated the associations between PEs and subsequent STBs after stratifying the sample into 4 life-course stages: childhood (≤12 years); adolescence (13-19 years); young adulthood (20-29 years); and later adulthood (30+ years). This allowed us to examine whether the associations of PEs with onset of STB varied across the life-course (e.g., among the four age strata; between ≤12 years versus 13 years or older), and the strength of association (with and without adjustment for mental disorders) in early versus later years of life, given previous findings of large effects sizes among adolescents (odds ratios above 10).6,24 Finally, population attributable risk proportions were calculated. PARPs can be interpreted as the expected proportion of reduction in the STBs if PEs were eliminated, based on the assumption that the survival coefficients represent causal effects.25
As the WMH data are both clustered and weighted, the design based Taylor series linearization implemented in SUDAAN software was used to estimate the standard errors and evaluate the statistical significance of the coefficients. Survival coefficients and their standard errors were exponentiated to generate ORs and 95% confidence intervals. All significance tests were evaluated using 0.05-level two-sided tests.
RESULTS
Prevalence of STBs
The lifetime prevalence (SE) of suicidal ideation, plans, and attempts in all respondents was 9.2% (0.2), 3.1% (0.1), and 2.8% (0.1), respectively (Table 1). Among suicide ideators (n = 5,106), 33.6% (SE = 0.9) reported a suicide plan. Among the subset of suicide ideators with a plan (n = 2,000), the prevalence of suicide attempts was 55.5% (1.5). Among the subset of suicide ideators without a plan (n = 3,106), the prevalence of suicide attempts was 17.0% (0.9). (Note: the proportions for the nested suicide outcomes reflect different denominators - see Supplementary Table S3). The lifetime prevalence of STBs was substantially higher among those with PEs compared to those without PEs (Table 1). Specifically, among respondents with PEs, the prevalence of suicidal ideation, plans and attempts were 28.5% (1.3), 10.8% (0.7), and 10.2% (0.7) respectively, compared with 8.0% (0.2), 2.6% (0.1), and 2.3% (0.1) for respondents without PEs.
Table 1.
Ideation
|
Plan
|
Attempt
|
|||||||
---|---|---|---|---|---|---|---|---|---|
na | %b | SE | na | %b | SE | na | %b | SE | |
STB prevalence | 5106 | 9.2 | 0.2 | 2000 | 3.1 | 0.1 | 1771 | 2.8 | 0.1 |
| |||||||||
(Denominator N)c | (33370) | ||||||||
| |||||||||
PE status | |||||||||
No PE | 4165 | 8.0 | 0.2 | 1583 | 2.6 | 0.1 | 1388 | 2.3 | 0.1 |
| |||||||||
(Denominator N)c | (30882) | ||||||||
| |||||||||
Any PE | 941 | 28.5 | 1.3 | 417 | 10.8 | 0.7 | 383 | 10.2 | 0.7 |
| |||||||||
(Denominator N)c | (2488) | ||||||||
| |||||||||
Number of PEs (in those with PEs) | |||||||||
Exactly 1 PE type | 571 | 23.8 | 1.4 | 236 | 8.6 | 0.7 | 219 | 8.0 | 0.7 |
| |||||||||
(Denominator N)c | (1706) | ||||||||
| |||||||||
Exactly 2 PE types | 247 | 35.4 | 3.4 | 111 | 12.8 | 1.6 | 98 | 12.1 | 1.6 |
| |||||||||
(Denominator N)c | (566) | ||||||||
| |||||||||
3 or more PE types | 123 | 57.5 | 4.9 | 70 | 28.8 | 4.2 | 66 | 27.9 | 4.4 |
| |||||||||
(Denominator N)c | (216) | ||||||||
| |||||||||
PE annualized frequency metricd(in those with PEs) | |||||||||
≤ 0.3 episodes/year | 425 | 25.7 | 1.9 | 183 | 9.6 | 1.0 | 167 | 9.0 | 1.0 |
| |||||||||
(Denominator N)c | (1259) | ||||||||
| |||||||||
> 0.3 episodes/year | 516 | 31.7 | 1.8 | 234 | 12.2 | 1.1 | 216 | 11.5 | 1.0 |
| |||||||||
(Denominator N)c | (1229) |
STB, Suicidal thoughts and behaviors; PE, Psychotic experiences; SE, Standard error
Numerator N refers to the number of cases with each suicidal outcome.
Estimates are based on weighted data.
Denominator N refers to the number of cases in the total sample or in the sample of those with/without PEs.
Associations between lifetime PEs and subsequent onset of STBs
Compared to those without PEs, those with any PEs had three times the odds of a subsequent first onset of each STB outcome adjusting for demographic factors (Table 2), with adjusted odds ratios (95% CI) for suicidal ideation, plans and attempts of 3.0 (2.6-3.6), 3.4 (2.8-4.1), and 3.1 (2.4-3.9), respectively. There was also a significant dose-response relationship between the two PE metrics and the three STBs, (χ2 ranged between 137.5 and 256.2, p <.001). The ORs for STBs among those experiencing ≥3 PE types ranged from 7.1 for ideation (4.9-10.3) to 11.1 for plans (7.1-17.4). There was also a three- to four-fold increased odds of various STBs in those with more frequent annualized PEs (> 0.3 episodes/year) compared to those with less frequent annualized PEs (≤ 0.3 episodes/year), with ORs ranging from 3.0 for attempts (2.3-4.1) to 3.8 for plans (2.9-5.1).
Table 2.
Ideation
|
Plan
|
Attempt
|
||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Basic demographic adjustmenta
|
Adjusted for temporally-ordered mental disordersb
|
Basic demographic adjustmenta
|
Adjusted for temporally-ordered mental disordersb
|
Basic demographic adjustmenta
|
Adjusted for temporally-ordered mental disordersb
|
|||||||
OR | (95% CI) | OR | (95% CI) | OR | (95% CI) | OR | (95% CI) | OR | (95% CI) | OR | (95% CI) | |
PE status | ||||||||||||
Any PE | 3.0* | (2.6–3.6) | 2.2* | (1.8–2.6) | 3.4* | (2.8–4.1) | 2.1* | (1.7–2.6) | 3.1* | (2.4–3.9) | 1.9* | (1.5–2.5) |
Number of PEs | ||||||||||||
Exactly 1 PE type | 2.5* | (2.0–3.1) | 1.9* | (1.5–2.3) | 2.6* | (2.0–3.3) | 1.8* | (1.4–2.3) | 2.3* | (1.7–3.2) | 1.6* | (1.1–2.2) |
Exactly 2 PE types | 3.7* | (2.7–4.9) | 2.5* | (1.8–3.3) | 3.6* | (2.5–5.2) | 2.1* | (1.5–3.1) | 3.3* | (2.2–5.0) | 1.9* | (1.2–3.0) |
3 or more PE types | 7.1* | (4.9–10.3) | 4.1* | (2.9–5.9) | 11.1* | (7.1–17.4) | 5.2* | (3.1–8.7) | 10.3* | (6.2–17.2) | 4.0* | (2.2–7.3) |
| ||||||||||||
Joint significance of the 3 number-of-PE type measures | χ23 = 256.2*, P <.001 | χ23 = 112.9*, P <.001 | χ23 = 203.1*, P <.001 | χ23 = 63.7*, P <.001 | χ23 = 137.5*, P <.001 | χ23 = 30.5*, P <.001 | ||||||
Difference in the ORs of the 3 number-of-PE type measures | χ22 = 24.3*, P <.001 | χ22 = 14.7*, P = 0.001 | χ22 = 32.4*, P <.001 | χ22 = 15.0*, P = 0.001 | χ22 = 26.0*, P <.001 | χ22 = 7.6*, P = 0.022 | ||||||
| ||||||||||||
PE frequency metric | ||||||||||||
> 0.3 episodes/year | 3.5* | (2.8–4.3) | 2.4* | (2.0–3.0) | 3.8* | (2.9–5.1) | 2.3* | (1.7–3.0) | 3.0* | (2.3–4.1) | 1.8* | (1.3–2.5) |
PE, Psychotic experiences; OR, Odds ratio; CI, Confidence interval
Significant at the .05 level, 2-sided test
PE (any PE, number of PE type and frequency metric) was used as a predictor of STB outcomes in separate discrete-time survival models. These models control for age-cohorts, gender, person-year dummies and country.
These models additionally control for 21 other temporally-ordered mental disorders.
When we adjusted for 21 antecedent mental disorders, the effect sizes attenuated but remained statistically significant. After adjustment, those with any PEs had twice the odds of subsequent onset of all three STBs. The significant dose-response relationship between higher PE frequency metrics and STBs also persisted.
When we restricted the analysis to the subset with suicidal ideation, the associations of any PEs with suicide plans and suicide attempts were not significant, indicating that PEs are associated with increased odds of suicidal ideation, but not with an increased odds of planning or attempting suicide among those reporting suicide ideation (Supplementary table S4).
Associations between lifetime PEs and subsequent onset of STBs across four life-course stages
Table 3 shows the associations between PEs and subsequent onset of STBs in four life-course stages. In the basic demographic adjustment models, we found strong and significant associations between occurrence of PEs and subsequent onset of STBs in all four life-course stages (childhood, adolescence, early adulthood and later adulthood). The effect sizes were significantly higher in childhood (≤12years) compared with 13 years or older (ideation: χ2 = 14.7, p<.001; plans: χ2 = 17.6, p<.001; attempts: χ2= 8.8, p = 0.003). The ORs (95% CI) for suicidal ideation, plans and attempts in childhood were 4.0 (2.3-6.8), 7.8 (3.4-17.9), and 5.4 (2.6-11.3), respectively. When adjusted for antecedent mental disorders, the pattern of associations remained significant though the effect sizes were attenuated.
Table 3.
Childhood, Age ≤ 12 years
|
Adolescence, Age 13–19 years
|
Young adulthood, Age 20–29 years
|
Later adulthood, Age 30+ years
|
Test for the significance of the slope differences across 4 life course stages
|
Test for significant differences between age ≤ 12 versus age 13+
|
|||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
OR | (95% CI) | OR | (95% CI) | OR | (95% CI) | OR | (95% CI) | χ23 | [p-value] | χ21 | [p-value] | |
Basic demographic adjustmentsa | ||||||||||||
Ideation | 4.0* | (2.3–6.8) | 3.3* | (2.6–4.2) | 3.0* | (2.3–3.9) | 2.7* | (2.0–3.6) | χ23 = 16.4* | [0.001] | χ21 = 14.7* | [<.001] |
Plan | 7.8* | (3.4–17.9) | 3.9* | (2.9–5.3) | 3.2* | (2.3–4.5) | 2.7* | (1.8–3.9) | χ23 = 20.6* | [<.001] | χ21 = 17.6* | [<.001] |
Attempt | 5.4* | (2.6–11.3) | 3.0* | (2.1–4.3) | 3.1* | (2.1–4.6) | 3.1* | (1.9–5.1) | χ23 = 10.8* | [0.013] | χ21 = 8.8* | [0.003] |
Adjusted for temporally-ordered mental disordersb | ||||||||||||
Ideation | 2.8* | (1.5–5.0) | 2.4* | (1.8–3.1) | 2.3* | (1.8–3.0) | 1.9* | (1.4–2.6) | χ23 = 21.2* | [<.001] | χ21 = 19.2* | [<.001] |
Plan | 5.5* | (2.2–13.8) | 2.5* | (1.8–3.5) | 2.2* | (1.6–3.1) | 1.7* | (1.1–2.5) | χ23 = 26.1* | [<.001] | χ21 = 22.2* | [<.001] |
Attempt | 3.2* | (1.4–7.6) | 1.9* | (1.3–2.9) | 2.0* | (1.3–3.1) | 1.8* | (1.0–3.2) | χ23 = 16.5* | [0.001] | X21 = 14.0* | [<.001] |
PE, Psychotic experiences; OR, Odds ratio; CI, Confidence interval
Significant at the .05 level, 2-sided test
Any PE was used as a predictor of STB outcomes in a discrete-time survival model controlling for age-cohorts, gender, person-year dummies and country.
These models additionally control for 21 other temporally-ordered mental disorders.
Population attributable risk proportions between PEs and STBs
The overall PARPs for suicidal ideation, plans and attempts ranged between 8.4 and 11.0% (Table 4) in the basic demographic adjustment models. After adjustments for antecedent mental disorders, the overall PARPs were smaller, ranging from 4.8-5.7%. When examined across the life course, compared with older age groups, children aged ≤12 years consistently had the highest PARPs (9.0%, 20.0% and 11.1% for suicidal ideation, plans and attempts, respectively) after adjustment for mental disorders.
Table 4.
Population attributable risk proportions (PARPs), %
|
|||||
---|---|---|---|---|---|
Childhood, Age ≤ 12 years | Adolescence, Age 13–19 years | Young adulthood, Age 20–29 years | Later adulthood, Age 30+ years | Overall | |
|
|
|
|
|
|
Basic demographic adjustments | |||||
Ideation | 14.1% | 10.6% | 9.7% | 8.2% | 8.4% |
Plan | 27.6% | 13.6% | 11.0% | 8.5% | 11.0% |
Attempt | 19.9% | 10.0% | 10.7% | 10.8% | 10.0% |
Adjusted for temporally-ordered mental disorders | |||||
Ideation | 9.0% | 6.9% | 6.5% | 4.6% | 5.3% |
Plan | 20.0% | 7.6% | 6.3% | 3.6% | 5.7% |
Attempt | 11.1% | 4.8% | 5.5% | 4.3% | 4.8% |
DISCUSSION
The results reported here are based on the largest (n = 33,370) and most detailed study of PEs and STBs reported to date. We found that community respondents who reported PEs had a two-fold increased odds of subsequent suicidal ideation, plans and attempts after adjustment for antecedent mental disorders. These estimates are broadly consistent with several longitudinal studies,1,5,13,26 but slightly lower than the pooled estimate from a recent meta-analysis.1 We also found a dose-response relationship between: (a) higher numbers of PE types (in keeping with previous literature)2–5 and (b) higher annualized PE frequency with subsequent STBs. Additionally, these results shed new light on four issues. First, the association between PEs and STBs persisted after adjustment for antecedent mental disorders. Second, among the subset of respondents reporting suicidal ideation, PEs did not contribute significantly to increased odds of subsequent suicide plans or attempts. Third, the association between PEs and STBs was most prominent in children aged ≤12 years. Fourth, PEs accounted for an appreciable proportion of STBs (9-20%), even when adjusted for mental disorders. We discuss each of these in turn.
First, although the association between PEs and STBs were attenuated after adjustment for 21 antecedent mental disorders, appreciable ORs (at least two-fold) were still found between PEs and STBs. These finding are consistent with previous studies.1,3,27 and lend weight to the hypothesis that the experience of PEs even in the absence of mental disorders may be sufficient to influence the subsequent onset of STBs. This is an important finding from a clinical point of view because it suggests that PEs may be a predictor of subsequent STBs even in individuals who do not meet criteria for mental disorders. In keeping with a recent commentary,28 we do not propose that the presence of isolated PEs is sufficient to identified individuals with an ultra-high risk of later transition to psychotic disorder; however these individuals do have an increased risk of a range of other adverse outcomes, including STBs. We hypothesize that as PEs are associated with both psychological distress29 and disability,30,31 these factors may be sufficient to contribute to the emergence of subsequent STBs. We note, however, that it is conceivable that PEs and STBs may both emerge during a prodromal phase of a later mental disorder (i.e., a disorder with an age of onset after prior STBs). Although this analysis is beyond the scope of the current paper, such research could further reinforce the clinical utility of routine monitoring of PEs in at risk samples.
Second, we demonstrated for the first time that although PEs were associated with an overall increase in STBs, among those with suicidal ideation, they did not make an additional contribution to the subsequent transition to suicide plans or planned/unplanned attempts. In other words, while those with PEs had an increased odds of each of the three STB outcomes (i.e. suicidal ideation, suicide plans, suicide attempts), our findings suggest that the presence of PEs did not alter the odds of transitions from suicidal ideation to planned or unplanned attempts. This general pattern is consistent with previous research that explored the associations of mental disorders and these nested STB outcomes.11
Third, we found that PEs were associated with the subsequent onset of STBs in each of the four life course stages and that this pattern of associations persisted after adjustment for antecedent mental disorders. Mindful that PEs have a wide age-of-onset distribution (median and interquartile range: 26, 17-41 years),32 our findings support the hypothesis that PEs are associated with an increased odds of subsequent STBs regardless of age. However, we confirmed that the association between PEs and STBs was indeed more prominent in childhood (≤12 years), consistent with previous findings based on longitudinal studies.5,6,26,33 While our study was based on adult respondents (18 years and older), it is reassuring to note that the strong association between childhood onset PEs and STBs has been confirmed in both broad cross-sectionally ascertained samples like the WMH and prospectively followed adolescent cohorts.
Finally, we showed that after adjustment for mental disorders, the overall PARP estimates (between 4.8% and 5.7%) were smaller than previously reported.6,16 However, in children (≤12 years) the adjusted PARPs (between 9-20%) were similar to previously reported PARPs. These findings lend weight to the recommendation by Kelleher and colleagues that clinicians should include PEs when assessing risk of STBs in young people, and that future clinical and epidemiologic studies of STBs should include PE-related items in their risk factor battery.6
The current study has several strengths (large sample size, range of countries, uniform methodology for data collection, temporally-ordered variables, etc.). However, it is important to note the study limitations. First, although we excluded people who were screened positive for possible psychotic disorders, the WMH surveys were administered by lay interviewers, and clinical validation of self-reported diagnoses of psychosis or mania was not available. We also used retrospective reports of age-of-onset of the PEs, STBs and mental disorders, which although rigorously obtained,34 would be subject to some level of recall bias. However, we note that five prospective studies have confirmed the association between PEs and subsequent STBs.5,6,26,33,35 Third, the surveys were cross-sectional, and without additional follow-up, we were unable to examine the association between PEs and completed suicide. We are aware of two prospective community-based studies that explored this question, but both lacked sufficient power (i.e., small number of completed suicides) to confidently estimate the influence of PEs on this outcome.26,36 Fourth, it will be of interest to explore if particular types of PEs (e.g. hallucinations, delusions) are differentially associated with STBs. We plan to examine this issue in future analyses.
In conclusion, we found that PEs were independently associated with subsequent STBs regardless of antecedent mental disorders. There were significant dose dependent relationship between both number of PE types and annualized frequency of PEs with subsequent STBs. The association was found at all ages with a stronger effect at younger ages, and were associated with appreciable PARPs. Our study lends additional weight to the call for the routine inclusion of PEs items when assessing STBs in both research and clinical settings.
Supplementary Material
Acknowledgments
Funding support
The World Health Organization World Mental Health (WMH) Survey Initiative is supported by the National Institute of Mental Health (NIMH; R01 MH070884), the John D. and Catherine T. MacArthur Foundation, the Pfizer Foundation, the US Public Health Service (R13-MH066849, R01-MH069864, and R01 DA016558), the Fogarty International Center (FIRCA R03-TW006481), the Pan American Health Organization, Eli Lilly and Company, Ortho-McNeil Pharmaceutical, GlaxoSmithKline, and Bristol-Myers Squibb. We thank the staff of the WMH Data Collection and Data Analysis Coordination Centres for assistance with instrumentation, fieldwork, and consultation on data analysis. None of the funders had any role in the design, analysis, interpretation of results, or preparation of this paper. The views and opinions expressed in this report are those of the authors and should not be construed to represent the views of the World Health Organization, other sponsoring organizations, agencies, or governments.
The Argentina survey – Estudio Argentino de Epidemiología en Salud Mental (EASM) – was supported by a grant from the Argentinian Ministry of Health (Ministerio de Salud de la Nación). The Colombian National Study of Mental Health (NSMH) is supported by the Ministry of Social Protection. The ESEMeD project is funded by the European Commission (Contracts QLG5-1999-01042; SANCO 2004123, and EAHC 20081308), the Piedmont Region (Italy)), Fondo de Investigación Sanitaria, Instituto de Salud Carlos III, Spain (FIS 00/0028), Ministerio de Ciencia y Tecnología, Spain (SAF 2000-158-CE), Departament de Salut, Generalitat de Catalunya, Spain, Instituto de Salud Carlos III (CIBER CB06/02/0046, RETICS RD06/0011 REM-TAP), and other local agencies and by an unrestricted educational grant from GlaxoSmithKline. Implementation of the Iraq Mental Health Survey (IMHS) and data entry were carried out by the staff of the Iraqi MOH and MOP with direct support from the Iraqi IMHS team with funding from both the Japanese and European Funds through United Nations Development Group Iraq Trust Fund (UNDG ITF). The Lebanese Evaluation of the Burden of Ailments and Needs Of the Nation (L.E.B.A.N.O.N.) is supported by the Lebanese Ministry of Public Health, the WHO (Lebanon), National Institute of Health/Fogarty International Center (R03 TW006481-01), anonymous private donations to IDRAAC, Lebanon, and unrestricted grants from, Algorithm, AstraZeneca, Benta, Bella Pharma, Eli Lilly, Glaxo Smith Kline, Lundbeck, Novartis, Servier, Phenicia, UPO. The Mexican National Comorbidity Survey (MNCS) is supported by The National Institute of Psychiatry Ramon de la Fuente (INPRFMDIES 4280) and by the National Council on Science and Technology (CONACyT-G30544- H), with supplemental support from the PanAmerican Health Organization (PAHO). Te Rau Hinengaro: The New Zealand Mental Health Survey (NZMHS) is supported by the New Zealand Ministry of Health, Alcohol Advisory Council, and the Health Research Council. The Nigerian Survey of Mental Health and Wellbeing (NSMHW) is supported by the WHO (Geneva), the WHO (Nigeria), and the Federal Ministry of Health, Abuja, Nigeria. The Peruvian World Mental Health Study was funded by the National Institute of Health of the Ministry of Health of Peru. The Portuguese Mental Health Study was carried out by the Department of Mental Health, Faculty of Medical Sciences, NOVA University of Lisbon, with collaboration of the Portuguese Catholic University, and was funded by Champalimaud Foundation, Gulbenkian Foundation, Foundation for Science and Technology (FCT) and 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 National School of Public Health & Health Services Management (former National Institute for Research & Development in Health, present National School of Public Health Management & Professional Development, Bucharest), with technical support of Metro Media Transilvania, the National Institute of Statistics – National Centre for Training in Statistics, SC. Cheyenne Services SRL, Statistics Netherlands and were funded by Ministry of Public Health (former Ministry of Health) with supplemental support of Eli Lilly Romania SRL. The São Paulo Megacity Mental Health Survey is supported by the State of São Paulo Research Foundation (FAPESP) Thematic Project Grant 03/00204-3. The Shenzhen Mental Health Survey is supported by the Shenzhen Bureau of Health and the Shenzhen Bureau of Science, Technology, and Information. The US National Comorbidity Survey Replication (NCS-R) is supported by the National Institute of Mental Health (NIMH; U01-MH60220) with supplemental support from the National Institute of Drug Abuse (NIDA), the Substance Abuse and Mental Health Services Administration (SAMHSA), the Robert Wood Johnson Foundation (RWJF; Grant 044708), and the John W. Alden Trust. John McGrath received John Cade Fellowship APP1056929 from the National Health and Medical Research Council, and Niels Bohr Professorship from the Danish National Research Foundation.
A complete list of all within-country and cross-national WMH publications can be found at http://www.hcp.med.harvard.edu/wmh/.
Footnotes
Competing interests: In the past 3 years, Dr. Kessler received support for his epidemiological studies from Sanofi Aventis, was a consultant for Johnson & Johnson Wellness and Prevention, and served on an advisory board for the Johnson & Johnson Services Inc. Lake Nona Life Project. Kessler is a co-owner of DataStat, Inc., a market research firm that carries out healthcare research.
Footnote to acknowledge WMH collaborators
The WHO World Mental Health Survey collaborators are Sergio Aguilar-Gaxiola, MD, PhD, Ali Al-Hamzawi, MD, Mohammed Salih Al-Kaisy, MD, Jordi Alonso, MD, PhD, Laura Helena Andrade, MD, PhD, Corina Benjet, PhD, Guilherme Borges,ScD, Evelyn J. Bromet, PhD, Ronny Bruffaerts, PhD, Brendan Bunting, PhD, Jose Miguel Caldas de Almeida, MD, PhD, Graca Cardoso, MD, PhD, Somnath Chatterji, MD, Alfredo H. Cia, MD, Louisa Degenhardt, PhD, Koen Demyttenaere, MD, PhD, John Fayyad, MD, Silvia Florescu, MD, PhD, Giovanni de Girolamo, MD, Oye Gureje, MD, DSc, FRCPsych, Josep Maria Haro, MD, PhD, Yanling He, MD, Hristo Hinkov, MD, PhD, Chi-yi Hu, MD, PhD, Yueqin Huang, MD, MPH, PhD, Peter de Jonge, PhD, Aimee Nasser Karam, PhD, Elie G. Karam, MD, Norito Kawakami, MD, DMSc, Ronald C. Kessler, PhD, Andrzej Kiejna, MD, PhD, Viviane Kovess-Masfety, MD, PhD, Sing Lee, MB,BS, Jean-Pierre Lepine, MD, Daphna Levinson, PhD, John McGrath, MD, PhD, Maria Elena Medina-Mora, PhD, Jacek Moskalewicz, PhD, Fernando Navarro-Mateu, MD, PhD, Beth-Ellen Pennell, MA, Marina Piazza, MPH, ScD, Jose Posada-Villa, MD, Kate M. Scott, PhD, Tim Slade, PhD, Juan Carlos Stagnaro, MD, PhD, Dan J. Stein, FRCPC, PhD, Margreet ten Have, PhD, Yolanda Torres, MPH, Dra.HC, Maria Carmen Viana, MD, PhD, Harvey Whiteford, MBBS, PhD, David R. Williams, MPH, PhD, Bogdan Wojtyniak, ScD.
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