Hostname: page-component-cd9895bd7-lnqnp Total loading time: 0 Render date: 2024-12-25T19:10:41.091Z Has data issue: false hasContentIssue false

Lifetime prevalence and potential determinants of psychotic experiences in the general population of Qatar

Published online by Cambridge University Press:  28 May 2019

Salma M. Khaled*
Affiliation:
Social and Economic Survey Research Institute, Qatar University, Doha, Qatar
Stacy Schantz Wilkins
Affiliation:
Greater Los Angeles Veterans Affairs Medical Center, Los Angeles, CA, USA Department of Medicine, David Geffen School of Medicine at University of California, Los Angeles, Los Angeles, CA, USA
Peter Woodruff
Affiliation:
Department of Psychiatry, Hamad Medical Corporation, Doha, Qatar Weil Cornell – Medicine, Education City, Qatar Foundation, Doha, Qatar National Institute of Health Research – Sheffield Biomedical Research Centre, University of Sheffield, Sheffield, UK
*
Author for correspondence: Salma M. Khaled, E-mail: skhaled@qu.edu.qa
Rights & Permissions [Opens in a new window]

Abstract

Background

To estimate the lifetime prevalence and potential determinants of psychotic experience(s) (PEs) in the general population of Qatar – a small non-war afflicted, conservative, high-income, middle-eastern country with recent rapid urbanization including an influx of migrants.

Methods

A probability-based sample (n = 1353) of non-migrants and migrants were interviewed face-to-face and administered a 7-item psychosis screener adapted from the Composite International Diagnostic Interview, the Kessler 6-item psychological distress scale, and the 5 items assessing odd (paranormal) beliefs and magical thinking (OBMT) from the Schizotypal Personality Questionnaire. Using bivariate and logistic regression analyses, lifetime prevalence rates of PEs were estimated then compared before and after adjustment for socio-demographics, Arab ethnicity, psychological distress, and OBMT.

Results

Prevalence of PEs was 27.9%. Visual hallucinations were most common (12.8%), followed by persecutory delusions (6.7%) and auditory hallucinations (6.9%). Ideas of reference (3.6%) were least prevalent. PEs were significantly higher in Arabs (34.7%) compared with non-Arabs (16.4%, p < 0.001) with the exception of ideas of reference and paranoid delusions. Female gender was associated with a higher prevalence of PEs in the Arab group only (p < 0.001). Prevalence of PEs was significantly higher among Arabs (48.8% v. 15.8%, p < 0.001) and non-Arabs (35.2% v. 7.3%, p < 0.001) with OBMT. Arab ethnicity (OR = 2.10, p = 0.015), psychological distress (OR = 2.29 p = 0.003), and OBMT (OR = 6.25, p < 0.001) were independently associated with PEs after adjustment for all variables.

Conclusions

Ethnicity, but not migration was independently associated with PEs. Evidence linking Arab ethnicity, female gender, and psychological distress to PEs through associations with OBMT was identified for future prospective investigations.

Type
Original Articles
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © Cambridge University Press 2019

Introduction

Psychotic experience(s) (PEs) are delusions and hallucinations that occur along a continuum within the general population (van Os et al., Reference Van Os, Linscott, Myin-Germeys, Delespaul and Krabbendam2008; Verdoux and van Os, Reference Verdoux and Os2002). Schneider was the first to introduce the concept of ‘first-rank’ symptoms of schizophrenia that included psychotic phenomena (Schneider, Reference Schneider1959). These also commonly occur in healthy populations (DeVylder et al., Reference Devylder, Koyanagi, Unick, Oh, Nam and Stickley2016; Rössler et al., Reference Rössler, Riecher-Rössler, Angst, Murray, Gamma, Eich, Os and Gross2007; Yung and Lin, Reference Yung and Lin2016). However, studies show that individuals with PEs are at increased risk of psychotic disorder, including schizophrenia (Fusar-Poli et al., Reference Fusar-Poli, Bonoldi, Yung, Borgwardt, Kempton, Valmaggia, Barale and McGuire2012; Kaymaz et al., Reference Kaymaz, Drukker, Lieb, Wittchen, Werbeloff, Weiser, Lataster and Os2012). Significant predictors of whether an individual with PEs develops a psychotic disorder include: frequency, intensity and persistence of PEs, related psychological distress, schizotypal personality traits (including odd beliefs and magical ideation), cognitive dysfunction, exposure to traumatic events, and genetic risk (Freeman and Fowler, Reference Freeman and Fowler2009; Kaymaz et al., Reference Kaymaz, Drukker, Lieb, Wittchen, Werbeloff, Weiser, Lataster and Os2012; McGrath et al., Reference McGrath, Saha, Lim, Aguilar-Gaxiola, Alonso, Andrade, Bromet, Bruffaerts, Caldas de Almeida, Cardoso, de Girolamo, Fayyad, Florescu, Gureje, Haro, Kawakami, Koenen, Kovess-Masfety, Lee, Lepine, McLaughlin, Medina-Mora, Navarro-Mateu, Ojagbemi, Posada-Villa, Sampson, Scott, Tachimori, Ten Have, Kendler and Kessler2017; Raine, Reference Raine1991; van Os et al., Reference Van Os, Kenis and Rutten2010, Reference Van Os, Steen, Islam, Gülöksüz, Rutten and Simons2017; Wigman et al., Reference Wigman, Nierop, Vollebergh, Lieb, Beesdo-Baum, Wittchen and Os2012; Yung et al., Reference Yung, Nelson, Baker, Buckby, Baksheev and Cosgrave2009; Yung and Lin, Reference Yung and Lin2016).

PEs are prevalent globally with population estimates varying widely depending on the assessment instruments used and underlying culture with a median prevalence range of 5.0% to 7.4% and a median incidence rate range of 2.5% to 3.0% (Linscott and van Os, Reference Linscott and Os2013; van Os et al., Reference Van Os, Linscott, Myin-Germeys, Delespaul and Krabbendam2008). Brief screening instruments find a higher prevalence of PEs than formal diagnostic assessment (Kessler et al., Reference Kessler, Birnbaum, Demler, Falloon, Gagnon, Guyer, Howes, Kendler, Shi, Walters and Wu2005). Studies on the prevalence of at least one psychotic symptom worldwide range from 0.8% to 45.8% (DeVylder et al., Reference Devylder, Koyanagi, Unick, Oh, Nam and Stickley2016; Larøi et al., Reference Larøi, Luhrmann, Bell, Christian, Deshpande, Fernyhough, Jenkins and Woods2014; Nuevo et al., Reference Nuevo, Chatterji, Verdes, Naidoo, Arango and Ayuso-Mateos2012). The World Mental Health (WMH) Surveys found a mean lifetime prevalence of ever having a PE across 18 countries globally of 5.8%, hallucinations (5.2%) being more common than delusions (1.3%) (McGrath et al., Reference McGrath, Saha, Al-Hamzawi, Alonso, Bromet, Bruffaerts, Caldas-De-Almeida, Chiu, Jonge, Fayyad, Florescu, Gureje, Haro, Hu, Kovess-Masfety, Lepine, Lim, Mora, Navarro-Mateu, Ochoa, Sampson, Scott, Viana and Kessler2015). Lifetime PE prevalence is higher in middle and high-income countries, women, non-married, not employed, and those with low family income (McGrath et al., Reference McGrath, Saha, Al-Hamzawi, Alonso, Bromet, Bruffaerts, Caldas-De-Almeida, Chiu, Jonge, Fayyad, Florescu, Gureje, Haro, Hu, Kovess-Masfety, Lepine, Lim, Mora, Navarro-Mateu, Ochoa, Sampson, Scott, Viana and Kessler2015).

PEs and psychotic disorders have also been found to be higher in many migrants and minority migrant populations, with elevated risk occurring in the first and second generation of migrant populations (Morgan et al., Reference Morgan, Charalambides, Hutchinson and Murray2010). A diverse range of social factors have been implicated in elevated rates of PEs in migrants including small ethnic density, stress, perceived discrimination, and cumulative negative social experience (DeVylder et al., Reference Devylder, Koyanagi, Unick, Oh, Nam and Stickley2016; Leaune et al., Reference Leaune, Dealberto, Luck, Grot, Zeroug-Vial, Poulet and Brunelin2018; Morgan et al., Reference Morgan, Charalambides, Hutchinson and Murray2010; Veling et al., Reference Veling, Susser, Os, Mackenbach, Selten and Hoek2008). In contrast, evidence from WMH studies, including those conducted in Lebanon and Iraq in the Middle East, found that migrants were significantly less likely than non-migrants to have lifetime PEs especially hallucinatory PEs (McGrath et al., Reference McGrath, Saha, Al-Hamzawi, Alonso, Bromet, Bruffaerts, Caldas-De-Almeida, Chiu, Jonge, Fayyad, Florescu, Gureje, Haro, Hu, Kovess-Masfety, Lepine, Lim, Mora, Navarro-Mateu, Ochoa, Sampson, Scott, Viana and Kessler2015). A migrant group may include different cultural or ethnic groups and have different migratory experiences as well as different psychotic experiences. A limitation of the current literature is that most studies have not disentangled the effects of migration and culture or ethnicity as potential risk factors for PEs.

Culture of origin or ethnicity can affect the content and characteristics of these experiences, as well as the meaning ascribed to them. This in turn can influence whether or not an experience is identified as a PE (Larøi et al., Reference Larøi, Luhrmann, Bell, Christian, Deshpande, Fernyhough, Jenkins and Woods2014; Murphy, Reference Murphy1976; Myers, Reference Myers2011; Peters et al., Reference Peters, Day, Mckenna and Orbach1999). For example, Kent and Wahass (Reference Kent and Wahass1996) compared the auditory hallucinations of patients with schizophrenia in Saudi Arabia and the United Kingdom and found that the Saudi Arabian compared to British patients were more likely to describe hallucinations with religious content. Cultural beliefs may also contribute to what may be considered as ‘odd’ or ‘bizarre’ beliefs without necessarily being associated with psychotic disorders, psychological distress or psychopathology in general (Kent and Wahass, Reference Kent and Wahass1996; Mullen, Reference Mullen2003).

Qatar is a small, stable, and economically prosperous Muslim country in the Arabian Peninsula, which has undergone rapid urbanization and modernization in the past three decades. Qatar represents a unique social setting, as the majority of the population consists of migrants, on short-term contracts, from Arab and other countries from all over the world (Bel-Air, Reference Bel-Air2014). This unique social context enabled us to study the role of ethnicity by looking at migrant and non-migrant Arabs (Qataris) and comparing them with other migrant ethnicities. To the best of our knowledge, this is the first study of PEs of Arabs in a non-war zone. This exploratory study offers a novel look at both migrant status and ethnicity within the Middle East.

Methods

Face-to-face household interviews were conducted with consenting participants who were 18 years or older living in Qatar. These interviews were conducted by the Social and Economic Research Institute (SESRI) at Qatar University as part of the Annual Omnibus survey. The survey covered a broad range of social, economic, health, and political issues.

Sample design

The State of Qatar is divided into six administrative municipalities, 72 zones, and 320 blocks. To draw a nationally representative sample, the households in each municipality were ordered by geographic location and type of household residents – Qatari citizens (non-migrants) and resident expatriates (migrants). A probability-based sample was drawn from each stratum. Non-migrants were oversampled, as they are a minority group in the population. Inside each selected household, one eligible adult was randomly selected using a validated adaptation of the Kish method (Kish, Reference Kish1965) in Qatar (Le et al., Reference Le, Brick, Diop and Alemadi2012). Weights were constructed to account for sampling disproportionality and nonresponse. The target population for this study excluded non-residential units such as army barracks, hospitals, dormitories, prisons, and camps housing blue-collar migrants.

Sample size determination

The estimated required sample size was 1160, which was calculated using the following standard sample size formula for complex survey design (Cornfield, Reference Cornfield1951; Kish, Reference Kish1965): n = z 2(p(1 − p)/e 2)deff. The estimate was based on α value of 0.05 or z = 1.96; p or estimate of the proportion set at 50.0% to identify the largest sample size requirement, desired sampling error e = ±3.5%, deff or design effect = 1.48, and a survey response rate = 70.0%. The latter two estimates were based on prior face-to-face surveys conducted by SESRI in the same population.

Data collection

Interviews were conducted in June of 2016 using computer-assisted personal interview technology. Interviewers and supervisors, most of whom had relevant prior survey fielding experience, were recruited and carefully trained to conduct the study interviews. During survey fielding, each sampled household was visited by a pair of interviewers (a male and a female) and a senior researcher who directly supervised the interviewers in the field. To observe traditional customs, the interviewers were matched to the respondents' gender. A total of 1356 interviews were completed, including 637 non-migrants and 719 migrants. The response rate was 64% for the former and 79% for the latter group.

Language and translation procedures

All survey interviews were conducted either in Arabic or English. All psychological measures were independently translated from English to Arabic by the first author and another researcher. Two other independent researchers who had not seen the original English version of these measures back-translated the two Arabic versions to English. All bilingual research team members met and reviewed the two Arabic versions of the questionnaire and compared the original and back-translated English versions. Minor discrepancies in translation arose and were resolved by consensus among bilingual team members.

Instrument

PEs were assessed using a 7-item screener adapted from the Psychosis module of the World Mental Health (WMH) Survey Initiative Version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI) (WHO-WMH CIDI) (Kessler and Ustün, Reference Kessler and Ustün2004). For exact questions' wording in Arabic and English, please refer to Appendix I. Briefly and without further probing, participants were asked if they ever had any of the following experiences while not having fever, dreaming, half-asleep, or under the influence of substances or drugs: (1) seeing something other people who were there could not see; (2) hearing voices that other people could not hear; (3) believing that some mysterious force was inserting strange thoughts into your head; (4) believing your thoughts were being stolen out of your mind by strange force; (5) believing your mind was being taken over by strange forces that were making you do things you did not choose to do; (6) thinking that some strange force was trying to communicate directly with you by sending special signs or signals; and (7) believing that there was an unjust plot going on to harm you or to have people follow you. ‘Yes’ or ‘No’ response options were provided. Refusals and ‘Don't Know’ were unread options and were indicated by the interviewers where appropriate.

Having ever experienced PEs (dependent variable) was defined by a positive response to at least one of the seven items, which was used to estimate the lifetime prevalence of PEs in the sample.

Classification of participants, employment status, socio-demographics

Participants were classified into one of two migrant status groups (migrant or non-migrant) based on information about the type of household (Qataris or non-Qataris) obtained from the sampling frame and confirmation by fielding supervisors upon approaching the households for interviews.

Ethnicity or cultural groups were based on nationality, which were broadly grouped based on geographical regions into the following: Arab (Arabic speaking Middle Eastern countries: n = 985), South Asian (India, Bangladesh, Pakistan, Nepal, Siri Lanka: n = 232), Other Asian (Philippines, China, Indonesia, Iran: n = 39), African (Ethiopia, Senegal, Zimbabwe, Kenya, South Africa: n = 15), and Western (UK, US, Canada, Australia: n = 12). To gain more statistical power, we further collapsed non-Arab ethnicities into one category to compare with Arab ethnicity.

Migrants were asked about the month and year they arrived in Qatar, which allowed for computation of the length of stay in the country. For non-migrants and migrants who reported living in Qatar all their life, the age of respondent was used to approximate the length of duration in the country. This variable was moderately positively skewed (skewness value = 0.485) and was log transformed to restore normality before treating it as a continuous variable in statistical models.

The current employment status of non-migrants and migrants was also ascertained. Standard demographic information was also collected: age, gender, education, and marital status. To reduce non-response for income, both non-migrants and migrants were asked a series of broad questions about their total monthly income that allowed the derivation of fourteen income categories (in Qatari Riyals or QR). However, as non-migrants generally have higher income than migrants, different lower- and upper-income brackets were asked for each group. Based on these different cut-offs and the distribution of respondents in each group of these categories, the following tertiles were generated: lowest tertile of monthly income was <30k QR for non-migrants and <10k QR for migrants; middle tertile of monthly income was 30–50k QR for non-migrants and 10–20k QR for migrants; and upper tertile of monthly income was 50k QR or more for non-migrants and 20k QR or more for migrants.

Psychological distress was assessed using the Kessler 6-item scale measuring non-specific psychological distress over the last 30 days (Kessler et al., Reference Kessler, Barker, Colpe, Epstein, Gfroerer, Hiripi, Howes, Normand, Manderscheid, Walters and Zaslavsky2003). The scale has been previously validated in Arabic-speaking populations (Easton et al., Reference Easton, Safadi, Wang and Hasson2017). As no clinically validated cut-off for this scale has been determined in Arabic speaking populations and to facilitate interpretability of the results from this scale, three ordinal levels (‘Low’, ‘Moderate’, and ‘High’) were created based on tertiles of the composite score of all six items.

Satisfaction with life in the host country was assessed using a scale from 0 to 10; all participants were asked to rate their life in Qatar, where 0 represents Qatar as the worst possible place to live and 10 represents Qatar as the best possible place to live. This variable was highly negatively skewed (skewness value = −1.711). Therefore, it was coded as a categorical variable based on the following cut-offs: category 1 (ratings between 0 and 8), category 2 (rating = 9), and category 3 (rating = 10).

Odd beliefs and magical thinking (OBMT) were assessed using the endorsement of one or more of five ‘Yes/No’ questions from the Schizotypal Personality Questionnaire (Raine, Reference Raine1991). These questions related to: (1) belief in telepathy (mind-reading); (2) belief in one's ability to communicate with others telepathically; (3) belief in clairvoyance (psychic forces, fortune telling); (4) belief that others can tell what you are thinking; and (5) belief in having experiences with seeing the future, paranormal (psychic) powers or the sixth sense. It was necessary to control for items that index OBMT in the analysis because these items may be more likely to be endorsed in certain cultures than others outside of the context of psychopathology (Mullen, Reference Mullen2003). OBMT may also index trait-like susceptibility for schizophrenia and psychotic disorder in general, and as such may also be independently associated with PEs (Kwapil et al., Reference Kwapil, Gross, Silvia and Barrantes-Vidal2013; Miller et al., Reference Miller, Byrne, Hodges, Lawrie, Owens and Johnstone2002; Walter et al., Reference Walter, Fernandez, Snelling and Barkus2016). Therefore, it was important to control for OBMT in our analysis as it could potentially confound the association between ethnicity and PEs

Statistical analyses

Initial bivariate analyses were conducted using the χ2 test of proportions to compare lifetime prevalence estimates of PEs by ethnicities and other socio-demographics across migrants and non-migrants. To correct for survey design effects on the sampling variances of these proportions, the F-transformed version of the Pearson χ2 statistic was used (Heeringa, West and Berglund, Reference Heeringa, West and Berglund2011).

Univariate and multivariate logistic regression models were fitted to assess the effect of ethnicity on the lifetime prevalence of PEs before and after adjustment for migration-related variables, socio-demographics, psychological distress, and OBMT. Hierarchal adjustment for socio-demographics, ethnicity, psychological distress, OBMT and PEs were also conducted to examine the pattern of co-variation between these variables and PEs.

By fitting main effects of all variables and interaction between psychological distress (three categorical levels) and ethnicity (Arab v. non-Arab), we tested for potential moderation by psychological distress on the association between ethnicity and PEs. The design-adjusted Wald test was used to assess the goodness of fit by comparing models with and without these interaction terms. Two-tailed p-values <0.05 were considered statistically significant.

As the literature is still unclear whether schizotypy and PEs index the same phenotype or measure different, but overlapping phenotypes (Debbane and Barrantes-Vidal, Reference Debbane and Barrantes-Vidal2015; Torgersen, Reference Torgersen1985); we conducted a sensitivity analysis that assumed both constructs index the same phenotype and calculated a composite severity score that captured the distribution of the sample on the total number of psychotic experiences and OBMT items endorsed. For this part of the analysis, an ordinal logistic regression model was fitted with symptom severity score as the dependent variable; model assumptions and fit to data were verified and evaluated. Previous analysis was re-run using the same set of variables with the exception of OBMT, which comprised part of the dependent variable in this segment of the analysis.

All statistical analyses were weighted and carried out in STATA version 13 (StataCorp, 2013).

Results

Sample characteristics and distribution of potential determinants of PEs by ethnicity and in the entire sample are presented in Table 1.

Table 1. Socio-demographics and other characteristics by Arab ethnicity and in general population sample

All proportions are weighted. Total sample is 1353 and includes everyone who responded to at least one question in the Psychotic Experiences module and who reported on ethnicity

a Lowest tertile of monthly income is <30k Qatari Riyals for non-migrants (Qataris) and <10k Qatari Riyals for migrants. Middle tertile of monthly income 30–50k Qatari Riyals for non-migrants (Qataris) and 10–20k Qatari Riyals for migrants. Highest tertile of monthly income is 50k+ Qatari Riyals for non-migrants (Qataris) and 20k+ Qatari Riyals for migrants.

b Lowest tertile of psychological distress (K6) corresponds to a score range of 0 to <8. Middle tertile of psychological distress (K6) corresponds to a score range of 8 to 9. Highest tertile of psychological distress (K6) corresponds to a score range of >9 to 24.

The lifetime prevalence of PEs was 27.9% (Table 2). Visual hallucinations were the most commonly reported (12.8%) followed by delusions of thought interference (10.8%), thought passivity (10.2%), and mind control (9.5%). Auditory hallucinations (6.9%) and persecutory or paranoid delusions (6.7%) were less prevalent, while ideas of reference (3.6%) were the lowest reported symptom in this population (Table 2).

Table 2. Lifetime prevalence of psychotic symptoms and symptom profiles by ethnicity and in total sample

All proportions are weighted.

a Estimates for symptom types are based on respondents who may or may not complete the entire Psychotic Experiences module.

b Estimates for any psychotic experiences and symptom profiles are based only on respondents who completed the entire PEs module and who reported on ethnicity.

Lifetime prevalence estimates of any PEs were significantly higher in Arabs (34.7%) compared with non-Arabs (16.4%) across all symptoms (p < 0.001) with the exception of ideas of reference and paranoid delusions (Table 2).

As also shown in Table 2, symptom profiles in the entire sample were largely marked by delusions only (11.6%) and to less extent by hallucinations only (7.7%). An appreciable proportion of the population reported experiencing a mixture of hallucinations and delusions (9.3%). While similar proportions of Arabs (6.4%) and non-Arabs (7.4%) reported experiencing hallucinations only (p = 0.632), Arab respondents reported significantly higher delusions only (14.6% v. 6.7%, p = 0.003) and higher delusions with hallucinations compared to non-Arabs (12.8% v. 9.8%, p < 0.001).

Table 2 presents lifetime prevalence estimates of PEs in the entire sample by socio-demographic characteristics and reported levels of psychological distress in the past 30 days. The prevalence of PEs was generally higher in non-migrant groups (p < 0.001). Arab participants exhibited higher prevalence of PEs compared to other ethnicities (p < 0.001). The prevalence of PEs was significantly higher in females than males (p < 0.001), single compared to married respondents (p < 0.001), and those with no formal education compared to those with formal education (p = 0.028). While no significant variations were observed in the prevalence of PEs by income levels (p = 0.096), respondents who were unemployed reported a significantly higher prevalence of PEs than those who were employed (p = 0.003). The highest prevalence of PEs was observed in the youngest age group (18–24 years of age) and there was a general trend of decreasing prevalence with increasing age (p = 0.002). The prevalence of PEs was observed to significantly increase with increasing levels of reported psychological distress (p < 0.001).

Prevalence estimates of PEs by socio-demographics and other potential risk factors were further explored within ethnic Arab and non-Arab groups as shown in Table 2. The prevalence of PEs did not differ between migrant and non-migrant Arabs (p = 0.123). Female gender was associated with a higher prevalence of PEs in the Arab group only (p < 0.001). The trend of decreasing prevalence of PEs with increasing age was statistically significant in the non-Arab group only (p = 0.002). Formal education was associated with lower prevalence of PEs in the non-Arab group only (p < 0.001).

Unemployment status was only associated with a higher prevalence of PEs in the Arab group (p = 0.014). Psychological distress and odd beliefs or magical thinking were consistently and significantly (p < 0.001) associated with a higher prevalence of PEs in both groups (see Table 2). Notably, the prevalence of PEs was significantly higher among Arab respondents who held OBMT compared to those who did not hold these beliefs (48.8% v. 15.8%, p < 0.001). A similar observation was also made in non-Arabs (35.2% v. 7.3%, p < 0.001)

The results from univariate and multivariate models are presented in Table 3. Of all the socio-demographic variables, Arab ethnicity was the only variable that remained significantly associated with PEs after simultaneous adjustment for all other variables including OBMT as shown in Model 2 (OR = 2.10, p = 0.015). Model 1 controlled for all variables except OBMT. In this model, only the highest level of psychological distress compared to the lowest level of distress was significantly associated with PEs (OR = 3.50, p < 0.001). This estimate of association was further reduced (OR = 2.29), but remained statistically significant (p = 0.003) after adjustment for OBMT (Model 2). OBMT was strongly associated with PEs before (OR = 6.31, p < 0.001) and after adjustment for all variables (OR = 6.25, p < 0.001).

Table 3. Frequencies for socio-demographics and other characteristics of Arab and non-Arab subpopulations for associations with a lifetime prevalence of any psychotic experiences (PEs)

All proportions are weighted.

a Lowest tertile of monthly income is <30k Qatari Riyals for non-migrants (Qataris) and <10K Qatari Riyals for migrants. Middle tertile of monthly income 30–50k Qatari Riyals for non-migrants (Qataris) and 10–20k Qatari Riyals for migrants. Highest tertile of monthly income is 50k+ Qatari Riyals for non-migrants (Qataris) and 20k+ Qatari Riyals for migrants.

b Lowest tertile of psychological distress (K6) corresponds to a score range of 0 to <8. Middle tertile of psychological distress (K6) corresponds to a score range of 8 to 9. Highest tertile of psychological distress (K6) corresponds to a score range of >9 to 24.

In online Supplementary Table S1, we present models with hierarchal adjustment of the same covariates. In a model that adjusts for all standard socio-demographic variables except for Arab ethnicity (Model 1), migrant status (OR = 0.55, p = 0.003), female gender (OR = 2.05, p = 0.002), single v. married status (OR = 2.01, p = 0.017), and middle income v. highest income category (OR = 1.72, p = 0.015) were the only socio-demographic variables that were significantly associated with PEs.

In the next model (Model 2) that further adjusts for ethnicity (OR = 2.69, p < 0.001), migrant status was no longer statistically associated with PEs (OR = 0.79, p = 0.285). However, gender (OR = 2.00, p = 0.002), marital status (OR = 1.91, p = 0.038), and middle income v. highest income category (OR = 1.70, p = 0.018) were still significantly associated with PEs.

In the next model (Model 3) that further adjusts for psychological distress (online Supplementary Table S1), all associations with socio-demographic variables including Arab ethnicity (OR = 2.24, p = 0.002), gender (OR = 1.72, p = 0.021), middle income (OR = 1.60, p = 0.038) were further reduced and the association between marital status and PEs were no longer statistically significant (OR = 1.81, p = 0.054). Notably, only the highest tertile of psychological distress v. lowest tertile comparison (OR = 3.26, p < 0.001) was significantly associated with PEs.

In the next model (Model 4) that further adjusts for OBMT (OR = 5.21, p < 0.001), the association between female gender and PEs was further reduced and were no longer statistically significant (OR = 1.29, p = 0.312). The middle income v. highest income comparison for PEs was borderline significant (OR = 1.60, p = 0.045). Meanwhile, Arab ethnicity remained significantly associated with PEs (OR = 2.24, p = 0.002). The association of higher level of psychological distress with PEs was further reduced upon adjustment of OBMT (OR = 2.21), but remained statistically significant (p = 0.003).

We found no evidence that the association between ethnicity and PEs differed by levels of psychological distress (ethnicity × moderate v. low levels of distress: OR = 0.28, p = 0.056; ethnicity × high v. low levels of distress: OR = 0.51, p = 0.306). Additionally, the adjusted Wald test did not suggest that the inclusion of these interaction terms improved the fit of the model (F-statistic = 1.94, p = 0.145). Furthermore, the main effects of both ethnicity (OR = 4.77, p = 0.002) and psychological distress (moderate v. low levels of distress: OR = 4.15, p = 0.017; high v. low levels of distress: OR = 5.76, p = 0.004) remained statistically significant even after the inclusion of these interaction terms in the model.

Similar results to those presented for Model 1 in Table 4 were obtained upon repeating the analysis with the dependent variable defined using a composite severity score of PEs and OBMT. Furthermore, there was no evidence of moderation by psychological distress on the association between ethnicity and severity score for PEs and OBMT. This gave us confidence that our findings were robust irrespective of the way our dependent variable was operationalized (experiencing any PEs v. composite severity score of PEs and OBMT).

Table 4. The association between ethnicity, migration-related variables, socio-demographics, psychological distress, and psychotic experiences

Odds ratio (OR) and corresponding 95% confidence intervals (95% CI). Reference group (ref) is the comparison group. All models are weighted.

a The unadjusted OR from a univariate model of each of the variables and its association with psychotic experiences are presented.

b Model 1 (n = 940) presents the adjusted ORs controlling for most variables simultaneously without adjustment for odd beliefs and magical thinking.

c Model 2 (n = 940) presents the adjusted ORs controlling for all variables including adjustment for odd beliefs and magical thinking.

d Lowest tertile of monthly income is <30k Qatari Riyals for non-migrants (Qataris) and <10k Qatari Riyals for migrants; middle tertile of monthly income 30–50k Qatari Riyals for non-migrants (Qataris) and 10–20k Qatari Riyals for migrants; highest tertile of monthly income is 50k+ Qatari Riyals for non-migrants (Qataris) and 20k+ Qatari Riyals for migrants.

e Lowest tertile of psychological distress (K6) corresponds to a score range of 0 to <8; middle tertile of psychological distress (K6) corresponds to a score range of 8 to 9; highest tertile of psychological distress (K6) corresponds to a score range of >9 to 24.

Discussion

The proportion of the general population that reported experiencing any psychotic symptom at some point in their life was 27.9%, which is relatively high for a war-free country like Qatar. A similar lifetime prevalence estimate (28.4%) was reported in the National Comorbidity Study of the USA (Kendler et al., Reference Kendler, Gallagher, Abelson and Kessler1996) and both estimates are quite high compared to the 23.3% estimate obtained using the MINI in a conflict-afflicted population of South Sudan (Ayazi et al., Reference Ayazi, Swartz, Eide, Lien and Hauff2016). The rapid rate of urbanization and immigration that Qatar experienced over the past three decades may contribute to the relatively high prevalence we report. Urbanicity and migration are known risk factors for PEs and psychosis (Binbay et al., Reference Binbay, Drukker, Elbi, Tanik, Ozkinay, Onay, Zagli, Os and Alptekin2012; Broome et al., Reference Broome, Woolley, Tabraham, Johns, Bramon, Murray, Pariante, McGuire and Murray2005; Goldstein and Rodnick, Reference Goldstein and Rodnick1975; Pedersen and Mortensen, Reference Pedersen and Mortensen2001; van Os, Reference Van Os2004). In a UK population, Johns et al. (Reference Johns, Cannon, Singleton, Murray, Farrell, Brugha, Bebbington, Jenkins and Meltzer2004) reported PEs in 65.9% in urban v. 34.1% in a rural population (Johns et al., Reference Johns, Cannon, Singleton, Murray, Farrell, Brugha, Bebbington, Jenkins and Meltzer2004). In contrast, CIDI-based lifetime prevalence estimates of PE as low as 3.6% were reported for a highly urban city in Turkey (Alptekin et al., Reference Alptekin, Ulas, Akdede, Tümüklü and Akvardar2009).

The most unique finding from our study pertains to the role of ethnicity on potential risk of PEs independent of migration. Qatar is a unique social setting as the majority of the population is composed of migrants of multi-ethnicity. Our lifetime prevalence estimate was significantly higher for Arabs than non-Arabs and did not significantly differ between Arab migrants and non-migrants, but was substantially lower for non-Arab migrants. Migration was not a factor in determining PEs in our sample, which is consistent with findings from a recent meta-analysis (Leaune et al., Reference Leaune, Dealberto, Luck, Grot, Zeroug-Vial, Poulet and Brunelin2018), but counter to some studies that indicate migration, social adversity, and negative social experience may be cumulative, particularly in migrant groups, in predisposing to PEs (Bourque, Ven, and Malla, Reference Bourque, Ven and Malla2011) and psychosis (McKenzie et al., Reference McKenzie, Fearon and Hurchinson2008). The context of where the migrant moves to is important, as the high rates of PEs and psychosis reported in second-generation immigrants has been attributed to psychosocial adversity (e.g. victimization) in ethnic minority groups (Bourque, Ven and Malla, Reference Bourque, Ven and Malla2011; Johns et al., Reference Johns, Cannon, Singleton, Murray, Farrell, Brugha, Bebbington, Jenkins and Meltzer2004; McKenzie et al., Reference McKenzie, Fearon and Hurchinson2008). In a 20-year follow up population study, alienation and paranoid ideation was prevalent, the highest (58%) ‘having ideas that others do not share’ as would be the case in groups without peer support from those with a shared cultural background (Rössler et al., Reference Rössler, Riecher-Rössler, Angst, Murray, Gamma, Eich, Os and Gross2007). Our findings indicate that non-Arab migrants are not more vulnerable to PEs than the indigenous Qatari population, and there was no difference in satisfaction ratings of living in Qatar between the groups.

The prevalence of PEs in the Arab population was increased across all symptom types and included hallucinations in both visual and auditory modalities, thought interference, passivity and ideas of mind control. These are first-rank symptoms of schizophrenia that would be difficult to imagine if not actually experienced by individuals, which adds to the veracity of the findings. We found no ethnicity difference in ideas of reference or paranoid ideation as distinct from studies that indicate the presence of paranoia in those ethnic minorities who migrate to other countries (McKenzie et al., Reference McKenzie, Fearon and Hurchinson2008). In addition, we found the prevalence of delusions and those mixed with hallucinations was higher in Arabs than non-Arabs in general. Higher prevalence of delusions especially those with more unusual delusional ideas (e.g. thought interference as opposed to persecutory delusions) are more likely to be of clinical significance and less likely due to ‘real life’ experiences (Freeman, Reference Freeman2006). It is important to note that delusions are often associated with hallucinatory experiences in psychosis (Krabbendam et al., Reference Krabbendam, Myin-Germeys, Hanssen, Bijl, Graaf, Vollebergh, Bak and Os2004). Therefore, the high prevalence of this mixed profile of delusional ideation among Arabs compared to non-Arabs further support the potential clinical significance of these symptoms in this subset of the population. Our findings are also consistent with a recent meta-analysis that found participants from the Maghreb and the Middle East were at greatest risk for psychotic symptoms (OR 3.30, 95% CI 2.09–5.21) compared with Asian, Black, and White ethnic groups (Leaune et al., Reference Leaune, Dealberto, Luck, Grot, Zeroug-Vial, Poulet and Brunelin2018).

It is important to note that significantly higher proportions of Arabs reported odd (paranormal) beliefs and magical thinking than non-Arabs, including beliefs in clairvoyance, mind reading, and the ability to communicate with others telepathically as well as beliefs in paranormal (psychic) experiences or the sixth sense. Ethnicity was the only socio-demographic variable that remained statistically significantly associated with PEs after adjustment for these beliefs. In Western literature, these beliefs constitute one of the five domains of schizotypal personality (Raine, Reference Raine1991) and their status as a vulnerability trait for PEs has been subject to debate (Lenzenweger, Reference Lenzenweger2006; Mata et al., Reference Mata, Gilvarry, Jones, Lewis, Murray and Sham2003; Meehl, Reference Meehl1962). For example, Yung and Lin (Reference Yung and Lin2016) have suggested that paranormal and magical thinking may not be necessarily maladaptive and may mark benign PEs in the general population (Yung and Lin, Reference Yung and Lin2016). In contrast, magical ideation may be more indicative of vulnerability toward psychosis if concurrent with PEs that is associated with distress and poor functioning (Yung et al., Reference Yung, Nelson, Baker, Buckby, Baksheev and Cosgrave2009).

It may be of interest for future studies to identify culturally driven beliefs and traits that could determine the trajectory of PEs to illness among non-clinical populations in the Arab context. For example, the extent that OBMT in this population overlaps with other unmeasured Arabic cultural idioms related to beliefs of influence or control as a result of the ‘evil eye’, evil spirits or Jinn, and bewitchment is unknown. Peters et al. (Reference Peters, Ward, Jackson, Woodruff, Morgan, Mcguire and Garety2017) in an attempt to determine what influenced people with PEs to seek treatment, found that a ‘clinical group’ had more threatening PEs than a ‘non-clinical’ group, who expressed more supernatural explanations. They argued that supernatural explanations were a protective mechanism against seeking treatment in those with PEs (Peters et al., Reference Peters, Ward, Jackson, Morgan, Charalambides, Mcguire, Woodruff, Jacobsen, Chadwick and Garety2016, Reference Peters, Ward, Jackson, Woodruff, Morgan, Mcguire and Garety2017).

We also found a strong association between PEs and higher levels of psychological distress in the past 30 days. Recent stressful life events and traumatic events associated with psychological distress are strongly associated with PEs (Johns et al., Reference Johns, Cannon, Singleton, Murray, Farrell, Brugha, Bebbington, Jenkins and Meltzer2004; McGrath et al., Reference McGrath, Saha, Lim, Aguilar-Gaxiola, Alonso, Andrade, Bromet, Bruffaerts, Caldas de Almeida, Cardoso, de Girolamo, Fayyad, Florescu, Gureje, Haro, Kawakami, Koenen, Kovess-Masfety, Lee, Lepine, McLaughlin, Medina-Mora, Navarro-Mateu, Ojagbemi, Posada-Villa, Sampson, Scott, Tachimori, Ten Have, Kendler and Kessler2017). In our study, psychological distress was strongly associated with PEs in both Arab and non-Arab groups indicating that these symptoms, although occurring in a non-clinical population impede a sense of wellbeing. OBMT were also strongly associated with experiencing psychological distress and with PEs suggesting that these phenomena are not culturally benign. Furthermore, controlling for this trait resulted in a weakening of the association between higher levels of psychological distress and PEs, which could potentially mean that the association between psychological distress and PEs may be mediated by magical ideation and beliefs in the paranormal in this population. This is consistent with findings from a recent study that supported the role of odd beliefs in the maintenance of psychological functioning in relation to PEs (Unterrassner et al., Reference Unterrassner, Wyss, Wotruba, Ajdacic-Gross, Haker and Rössler2017).

Consistent with other studies of PEs in non-clinical populations (McGrath et al., Reference McGrath, Saha, Al-Hamzawi, Alonso, Bromet, Bruffaerts, Caldas-De-Almeida, Chiu, Jonge, Fayyad, Florescu, Gureje, Haro, Hu, Kovess-Masfety, Lepine, Lim, Mora, Navarro-Mateu, Ochoa, Sampson, Scott, Viana and Kessler2015), we found that PEs were more common in females than males. Whether females with a lifetime prevalence of PEs are at higher risk for developing psychotic disorders than females or males without these experiences is an important question for future research. Also consistent with previous studies (Bora and Arabaci, Reference Bora and Arabaci2009; Raine, Reference Raine1992; Unterrassner et al., Reference Unterrassner, Wyss, Wotruba, Ajdacic-Gross, Haker and Rössler2017), female gender was strongly associated with OBMT in our study such that controlling for this trait greatly reduced the magnitude of the association between gender and PEs. This suggests that beliefs in magic and the paranormal may potentially mediate the association between female gender and PEs. The extent that this trait constitutes a vulnerability trait for PEs and psychotic disorders among females can be explored in future investigations.

In our study, marriage was negatively associated with PEs, which is also consistent with findings from previous studies (McGrath et al., Reference McGrath, Saha, Al-Hamzawi, Alonso, Bromet, Bruffaerts, Caldas-De-Almeida, Chiu, Jonge, Fayyad, Florescu, Gureje, Haro, Hu, Kovess-Masfety, Lepine, Lim, Mora, Navarro-Mateu, Ochoa, Sampson, Scott, Viana and Kessler2015). This is perhaps as a result of the mutual support marriage provides, or that those with psychological problems may be less likely to marry or stay married. PEs are not generally thought to be associated with poverty (Read, Reference Read2010). Consistent with this, compared to the highest household income, the lowest household income category was not significantly associated with PEs in our study. However, the middle household income category was significantly associated with PEs. As this group included a disproportionate concentration of migrants reporting higher rates of unemployment (the majority of whom were unemployed housewives of working husbands), it may be that a factor in this association of middle income and PEs was relatively less social support that is often provided through employment.

Limitations

The present study has important public health implications for rapidly developing countries such as Qatar. Limitations of this study include the following. The full population of Qatar was not surveyed as non-residential units, such as army barracks, hospitals, dormitories, prisons, and camps housing blue-collar migrants, were excluded. The latter group is hard to access population in Qatar as most live in camps owned by their employers and could potentially be more vulnerable to PEs than other household-based migrants in Qatar. In addition, blue-collar migrants are also more wary of participating in health research than any other migrant groups because of fear of deportation by their employer if any underlying physical or mental disorder is identified. Future studies of PEs in this group should be designed with careful consideration of the best way to reach this understudied segment of Qatar's general population.

English is not the mother tongue of most migrants in Qatar. As such our estimates of PEs may have been biased toward the null for migrants whose comprehension of the English language is limited.

Although interviewers were thoroughly trained in general interviewing techniques and in administering questions of sensitive nature, we cannot rule out other sources of response bias in Arab and non-Arab migrants for job security reasons if any underlying mental disorder is identified.

Our assessment of PEs was of necessity, brief. We did not apply any exclusion criteria based on personal or family history of mental illness or available diagnosis. We did not assess timing of these events in relation to other events in the person's life. We also did not assess frequency or persistence of these events or level of distress directly caused by these experiences. For delusions, we did not assess the level of conviction, which would have allowed us to tap into severity level of delusional ideation. We did not record personal history of substance misuse (cannabis and alcohol), which is strongly associated with PEs and psychosis (Compton, Chien and Bollini, Reference Compton, Chien and Bollini2009; Johns et al., Reference Johns, Cannon, Singleton, Murray, Farrell, Brugha, Bebbington, Jenkins and Meltzer2004; Rössler et al., Reference Rössler, Riecher-Rössler, Angst, Murray, Gamma, Eich, Os and Gross2007). We also cannot determine the cause or effect of some key factors, e.g. psychological distress and PEs, due to the cross-sectional nature of the study.

Future directions

Studying healthy people with PEs may help identify resilience and vulnerability, and answer the question as to why some people with PEs remain healthy (Rossell et al., Reference Rossell, Futterman, Mcmaster and Siever2014). As many with PEs have no clinical illness, it is often of interest to identify determinants of the trajectory of PEs to illness. Some factors may be culturally influenced like beliefs in paranormal phenomena; these are of prime importance in understanding vulnerability in different population groups. As we understand more about PEs and their significance in multicultural contexts, we may be in a better position to focus attention on those who are likely to need early assessment and care at an early stage in order to prevent transition to clinical mental illness in different cultural settings.

Conclusion

Here we present the first study of prevalence of PEs in Qatar, where prevalence rates are relatively high, both in the indigenous and migrant Arab population. We also report that these experiences were significantly associated with psychological distress and OBMT in the general population of Qatar. Evidence linking Arab ethnicity, female gender, and psychological distress to PEs through associations with OBMT was identified. Future studies could prospectively investigate these associations to shed light on how PEs may increase the risk of developing psychotic disorders in these populations.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S0033291719000977

Author ORCIDs

Salma M. Khaled, 0000-0002-8844-3441

Acknowledgements

We would like to thank the Social and Economic Survey Institute (SESRI) at Qatar University for giving us the opportunity to conduct this research as part of the Institute's annual Omnibus survey. Special thanks to Dr Abdellatif Sellami (SESRI, QU) for his support with translation and adaptation of the Arabic version of the questionnaire. Special thanks to Dr Elmogiera Elawad and interviewers (SESRI, QU) for their support with fielding the mental health component of the survey. Special thanks to the psychiatry residents at Hamad Medical Corporation for their help with the translation process of the instruments.

Financial support

No funding was received for this work.

Conflict of interest

PW has previously received support from Lundbeck, Janssen-Cilag, Sunovion and Newbridge Pharmaceuticals all unrelated to this study. SK and SW declare that they have no conflict of interest.

Ethical standards

The study was reviewed and approved by Qatar University's Institutional Review Board (Reference number: QU-IRB 339-E/14) and have therefore been carried out in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments.

References

Alptekin, K, Ulas, H, Akdede, BB, Tümüklü, M and Akvardar, Y (2009) Prevalence and risk factors of psychotic symptoms: in the city of Izmir, Turkey. Social Psychiatry and Psychiatric Epidemiology 44, 905910.CrossRefGoogle ScholarPubMed
Ayazi, T, Swartz, L, Eide, AH, Lien, L and Hauff, (2016) Psychotic-like experiences in a conflict-affected population: a cross-sectional study in South Sudan. Social Psychiatry and Psychiatric Epidemiology 51, 971979.CrossRefGoogle Scholar
Bel-Air, F (2014) Demography, Migration, and Labour Market in Qatar. Explanatory Note No. 8. Gulf Labour Market and Migration (GLMM), Geneva, viewed 15 October 2018, http://gulfmigration.eu.Google Scholar
Binbay, T, Drukker, M, Elbi, H, Tanik, FA, Ozkinay, F, Onay, H, Zagli, N, Os, JV and Alptekin, K (2012) Testing the psychosis Continuum: differential impact of genetic and nongenetic risk factors and comorbid psychopathology across the entire Spectrum of psychosis. Schizophrenia Bulletin 38, 9921002.CrossRefGoogle Scholar
Bora, E and Arabaci, LB (2009) Effect of age and gender on schizotypal personality traits in the normal population. Psychiatry and Clinical Neurosciences 63, 663669.CrossRefGoogle ScholarPubMed
Bourque, F, Ven, EV and Malla, A (2011) A meta-analysis of the risk for psychotic disorders among first- and second-generation immigrants. Psychological Medicine 41, 897910.CrossRefGoogle ScholarPubMed
Broome, MR, Woolley, JB, Tabraham, P, Johns, LC, Bramon, E, Murray, GK, Pariante, C, McGuire, PK and Murray, RM (2005) What causes the onset of psychosis? Schizophrenia Research 79, 2334.CrossRefGoogle Scholar
Compton, MT, Chien, VH and Bollini, AM (2009) Associations between past alcohol, Cannabis, and cocaine Use and current schizotypy Among first-degree relatives of patients With schizophrenia and Non-psychiatric controls. Psychiatric Quarterly 80, 143154.CrossRefGoogle ScholarPubMed
Cornfield, J (1951) The determination of sample size. American Journal of Public Health and the Nation's Health 41, 654661.CrossRefGoogle ScholarPubMed
Debbane, M and Barrantes-Vidal, N (2015) Schizotypy from a developmental perspective. Schizophrenia Bulletin 41, 386395.CrossRefGoogle ScholarPubMed
Devylder, JE, Koyanagi, A, Unick, J, Oh, H, Nam, B and Stickley, A (2016) Stress sensitivity and psychotic experiences in 39 low- and middle-income countries. Schizophrenia Bulletin 42, 13531362.CrossRefGoogle ScholarPubMed
Easton, SD, Safadi, NS, Wang, Y and Hasson, RG (2017) The Kessler psychological distress scale: translation and validation of an Arabic version. Health and Quality of Life Outcomes 15, 215.CrossRefGoogle ScholarPubMed
Freeman, D (2006) Delusions in the nonclinical population. Current Psychiatry Reports 8, 191204.CrossRefGoogle ScholarPubMed
Freeman, D and Fowler, D (2009) Routes to psychotic symptoms: trauma, anxiety and psychosis-like experiences. Psychiatry Research 169, 107112.CrossRefGoogle ScholarPubMed
Fusar-Poli, P, Bonoldi, I, Yung, AR, Borgwardt, S, Kempton, MJ, Valmaggia, L, Barale, F and McGuire, P (2012) Predicting psychosis: meta-analysis of transition outcomes in individuals at high clinical risk. Archives of General Psychiatry 69, 220229.CrossRefGoogle ScholarPubMed
Goldstein, MJ and Rodnick, EH (1975) The family's contribution to the etiology of schizophrenia: current status. Schizophrenia bulletin 14, 4863.CrossRefGoogle ScholarPubMed
Heeringa, S, West, B and Berglund, P (2011) Categorical data analysis. In Applied Survey Data Analysis. Florida: Chapman Hall/CRC Press.Google Scholar
Johns, LC, Cannon, M, Singleton, N, Murray, RM, Farrell, M, Brugha, T, Bebbington, P, Jenkins, R and Meltzer, H (2004) Prevalence and correlates of self-reported psychotic symptoms in the British population. British Journal of Psychiatry 185, 298305.CrossRefGoogle ScholarPubMed
Kaymaz, N, Drukker, M, Lieb, R, Wittchen, H-U, Werbeloff, N, Weiser, M, Lataster, T and Os, JV (2012) 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. Psychological Medicine 42, 22392253.CrossRefGoogle ScholarPubMed
Kendler, KS, Gallagher, TJ, Abelson, JM and Kessler, RC (1996) Lifetime prevalence, demographic risk factors, and diagnostic validity of nonaffective psychosis as assessed in a US community sample. Archives of General Psychiatry 53, 10221031.CrossRefGoogle Scholar
Kent, G and Wahass, S (1996) The content and characteristics of auditory hallucinations in Saudi Arabia and the UK: a cross-cultural comparison. Acta Psychiatrica Scandinavica 94, 433437.CrossRefGoogle ScholarPubMed
Kessler, RC and Ustün, TB (2004) The world mental health (WMH) survey initiative version of the world health organization (WHO) composite international diagnostic interview (CIDI). International Journal of Methods in Psychiatric Research 13, 93121.CrossRefGoogle Scholar
Kessler, RC, Barker, PR, Colpe, LJ, Epstein, JF, Gfroerer, JC, Hiripi, E, Howes, MJ, Normand, SL, Manderscheid, RW, Walters, EE and Zaslavsky, AM (2003) Screening for serious mental illness in the general population. Archives of General Psychiatry 60, 184189.CrossRefGoogle ScholarPubMed
Kessler, RC, Birnbaum, H, Demler, O, Falloon, IR, Gagnon, E, Guyer, M, Howes, MJ, Kendler, KS, Shi, L, Walters, E and Wu, EQ (2005) The prevalence and correlates of nonaffective psychosis in the national comorbidity survey replication (NCS-R). Biological Psychiatry 58, 668676.CrossRefGoogle Scholar
Kish, L (1965) Survey Sampling. New York: Wiley & Sons.Google Scholar
Krabbendam, L, Myin-Germeys, I, Hanssen, M, Bijl, RV, Graaf, RD, Vollebergh, W, Bak, M and Os, JV (2004) Hallucinatory experiences and onset of psychotic disorder: evidence that the risk is mediated by delusion formation. Acta Psychiatrica Scandinavica 110, 264272.CrossRefGoogle ScholarPubMed
Kwapil, TR, Gross, GM, Silvia, PJ and Barrantes-Vidal, N (2013) Prediction of psychopathology and functional impairment by positive and negative schizotypy in the Chapmans’ ten-year longitudinal study. Journal of Abnormal Psychology 122, 807815.CrossRefGoogle ScholarPubMed
Larøi, F, Luhrmann, TM, Bell, V, Christian, WA, Deshpande, S, Fernyhough, C, Jenkins, J and Woods, A (2014) Culture and hallucinations: overview and future directions. Schizophrenia Bulletin 40, 213220.CrossRefGoogle ScholarPubMed
Le, KT, Brick, JM, Diop, A and Alemadi, D (2012) Within-Household sampling conditioning on household size. International Journal of Public Opinion Research 25, 108118.CrossRefGoogle Scholar
Leaune, E, Dealberto, M-J, Luck, D, Grot, S, Zeroug-Vial, H, Poulet, E and Brunelin, J (2018) Ethnic minority position and migrant status as risk factors for psychotic symptoms in the general population: a meta-analysis. Psychological Medicine 49, 545558.CrossRefGoogle ScholarPubMed
Lenzenweger, MF (2006) Schizotypy: an organizing framework for schizophrenia research. Current Directions in Psychological Science 15, 162166.CrossRefGoogle Scholar
Linscott, RJ and Os, JV (2013) 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. Psychological Medicine 43, 11331149.CrossRefGoogle ScholarPubMed
Mata, I, Gilvarry, CM, Jones, PB, Lewis, SW, Murray, RM and Sham, PC (2003) Schizotypal personality traits in nonpsychotic relatives are associated with positive symptoms in psychotic probands. Schizophrenia Bulletin 29, 273283.CrossRefGoogle ScholarPubMed
McGrath, JJ, Saha, S, Al-Hamzawi, A, Alonso, J, Bromet, EJ, Bruffaerts, R, Caldas-De-Almeida, JM, Chiu, WT, Jonge, PD, Fayyad, J, Florescu, S, Gureje, O, Haro, JM, Hu, C, Kovess-Masfety, V, Lepine, JP, Lim, CCW, Mora, MEM, Navarro-Mateu, F, Ochoa, S, Sampson, N, Scott, K, Viana, MC and Kessler, RC (2015) Psychotic experiences in the general population. JAMA Psychiatry 72, 697.CrossRefGoogle ScholarPubMed
McGrath, JJ, Saha, S, Lim, CCW, Aguilar-Gaxiola, S, Alonso, J, Andrade, LH, Bromet, EJ, Bruffaerts, R, Caldas de Almeida, JM, Cardoso, G, de Girolamo, G, Fayyad, J, Florescu, S, Gureje, O, Haro, JM, Kawakami, N, Koenen, KC, Kovess-Masfety, V, Lee, S, Lepine, JP, McLaughlin, KA, Medina-Mora, ME, Navarro-Mateu, F, Ojagbemi, A, Posada-Villa, J, Sampson, N, Scott, KM, Tachimori, H, Ten Have, M, Kendler, KS, & Kessler, RC; WHO World Mental Health Survey Collaborators (2017) Trauma and psychotic experiences: transnational data from the world mental health survey. The British Journal of Psychiatry: The Journal of Mental Science 211, 373380.CrossRefGoogle ScholarPubMed
McKenzie, K, Fearon, P and Hurchinson, D (2008) Migration, ethnicity and psychosis. Society and psychosis. In Society and Psychosis. Cambridge, UK: Cambridge University Press, pp. 143160.CrossRefGoogle Scholar
Meehl, PE (1962) Schizotaxia, schizotypy, schizophrenia. American Psychologist 17, 827838.CrossRefGoogle Scholar
Miller, P, Byrne, M, Hodges, A, Lawrie, SM, Owens, DGC and Johnstone, EC (2002) Schizotypal components in people at high risk of developing schizophrenia: early findings from the Edinburgh high-risk study. British Journal of Psychiatry 180, 179184.CrossRefGoogle ScholarPubMed
Morgan, C, Charalambides, M, Hutchinson, G and Murray, RM (2010) Migration, ethnicity, and psychosis: toward a sociodevelopmental model. Schizophrenia Bulletin 36, 655664.CrossRefGoogle Scholar
Mullen, R (2003) The problem of bizarre delusions. The Journal of Nervous and Mental Disease 191, 546548.CrossRefGoogle ScholarPubMed
Murphy, J (1976) Psychiatric labeling in cross-cultural perspective. Science 191, 10191028.CrossRefGoogle ScholarPubMed
Myers, NL (2011) Update: schizophrenia across cultures. Current Psychiatry Reports 13, 305311.CrossRefGoogle ScholarPubMed
Nuevo, R, Chatterji, S, Verdes, E, Naidoo, N, Arango, C and Ayuso-Mateos, JL (2012) The Continuum of psychotic symptoms in the general population: a cross-national study. Schizophrenia Bulletin 38, 475485.CrossRefGoogle ScholarPubMed
Pedersen, CB and Mortensen, PB (2001) Evidence of a dose-response relationship between urbanicity during upbringing and schizophrenia risk. Archives of General Psychiatry 58, 10391046.CrossRefGoogle ScholarPubMed
Peters, E, Day, S, Mckenna, J and Orbach, G (1999) Delusional ideation in religious and psychotic populations. British Journal of Clinical Psychology 38, 8396.CrossRefGoogle ScholarPubMed
Peters, E, Ward, T, Jackson, M, Morgan, C, Charalambides, M, Mcguire, P, Woodruff, P, Jacobsen, P, Chadwick, P and Garety, PA (2016) Clinical, socio-demographic and psychological characteristics in individuals with persistent psychotic experiences with and without a ‘need for care’. World Psychiatry 15, 4152.CrossRefGoogle Scholar
Peters, E, Ward, T, Jackson, M, Woodruff, P, Morgan, C, Mcguire, P and Garety, PA (2017) Clinical relevance of appraisals of persistent psychotic experiences in people with and without a need for care: an experimental study. The Lancet Psychiatry 4, 927936.CrossRefGoogle ScholarPubMed
Raine, A (1991) The SPQ: a scale for the assessment of schizotypal personality based on DSM-III-R criteria. Schizophrenia Bulletin 17, 555564.CrossRefGoogle ScholarPubMed
Raine, A (1992) Sex differences in schizotypal personality in a nonclinical population. Journal of Abnormal Psychology 101, 361364.CrossRefGoogle Scholar
Read, J (2010) Can poverty drive you mad? ‘schizophrenia’, socio-economic status and the case for primary prevention. Article/Report, The University of Auckland, New Zealand, viewed 9 October 2018, https://trove.nla.gov.au/version/54263248.Google Scholar
Rossell, DR, Futterman, SE, Mcmaster, A and Siever, LJ (2014) Schizotypal personality disorder: a current review. Current Psychiatry Reports 16, 452472.CrossRefGoogle Scholar
Rössler, W, Riecher-Rössler, A, Angst, J, Murray, R, Gamma, A, Eich, D, Os, JV and Gross, VA (2007) Psychotic experiences in the general population: a twenty-year prospective community study. Schizophrenia Research 92, 114.CrossRefGoogle ScholarPubMed
Schneider, K (1959) Klinische Psychopathologie. Stuttgart: Thieme.Google Scholar
StataCorp (2013) Stata Statistical Software: Release 13. College Station, TX, USA: StataCorp LP.Google Scholar
Torgersen, S (1985) Relationship of schizotypal personality disorder to schizophrenia: genetics. Schizophrenia Bulletin 11, 554563.CrossRefGoogle ScholarPubMed
Unterrassner, L, Wyss, TA, Wotruba, D, Ajdacic-Gross, V, Haker, H and Rössler, W (2017) Psychotic-like experiences at the healthy end of the psychosis continuum. Frontiers in Psychology 8, 775.CrossRefGoogle ScholarPubMed
Veling, W, Susser, E, Os, JV, Mackenbach, JP, Selten, JP and Hoek, HW (2008) Ethnic density of neighborhoods and incidence of psychotic disorders among immigrants. The American Journal of Psychiatry 165, 6673.CrossRefGoogle ScholarPubMed
Verdoux, H and Os, JV (2002) Psychotic symptoms in non-clinical populations and the continuum of psychosis. Schizophrenia Research 54, 5965.CrossRefGoogle ScholarPubMed
Walter, EE, Fernandez, F, Snelling, M and Barkus, E (2016) Genetic consideration of schizotypal traits: a review. Frontiers in Psychology 7, 1769.CrossRefGoogle ScholarPubMed
Wigman, JTW, Nierop, MV, Vollebergh, WAM, Lieb, R, Beesdo-Baum, K, Wittchen, H-U and Os, JV (2012) Evidence that psychotic symptoms are prevalent in disorders of anxiety and depression, impacting on illness onset, risk, and severity – implications for diagnosis and ultra-high risk research. Schizophrenia Bulletin 38, 247257.CrossRefGoogle ScholarPubMed
Van Os, J (2004) Does the urban environment cause psychosis? The British Journal of Psychiatry: The Journal of Mental Science 184, 287288.CrossRefGoogle ScholarPubMed
Van Os, J, Linscott, RJ, Myin-Germeys, I, Delespaul, P and Krabbendam, L (2008) A systematic review and meta-analysis of the psychosis continuum: evidence for a psychosis proneness–persistence–impairment model of psychotic disorder. Psychological Medicine 39, 179195.CrossRefGoogle ScholarPubMed
Van Os, J, Kenis, G and Rutten, BPF (2010) The environment and schizophrenia. Nature 468, 203212.CrossRefGoogle Scholar
Van Os, J, Steen, YVD, Islam, MA, Gülöksüz, S, Rutten, BP and Simons, CJ (2017) Evidence that polygenic risk for psychotic disorder is expressed in the domain of neurodevelopment, emotion regulation and attribution of salience. Psychological Medicine 47, 24212437.CrossRefGoogle ScholarPubMed
Yung, AR and Lin, A (2016) Psychotic experiences and their significance. World Psychiatry 15, 130131.CrossRefGoogle ScholarPubMed
Yung, AR, Nelson, B, Baker, K, Buckby, JA, Baksheev, G and Cosgrave, EM (2009) Psychotic-like experiences in a community sample of adolescents: implications for the continuum model of psychosis and prediction of schizophrenia. Australian & New Zealand Journal of Psychiatry 43, 118128.CrossRefGoogle Scholar
Figure 0

Table 1. Socio-demographics and other characteristics by Arab ethnicity and in general population sample

Figure 1

Table 2. Lifetime prevalence of psychotic symptoms and symptom profiles by ethnicity and in total sample

Figure 2

Table 3. Frequencies for socio-demographics and other characteristics of Arab and non-Arab subpopulations for associations with a lifetime prevalence of any psychotic experiences (PEs)

Figure 3

Table 4. The association between ethnicity, migration-related variables, socio-demographics, psychological distress, and psychotic experiences

Supplementary material: File

Khaled et al. supplementary material

Appendix 1

Download Khaled et al. supplementary material(File)
File 137.5 KB
Supplementary material: File

Khaled et al. supplementary material

Table S1

Download Khaled et al. supplementary material(File)
File 33.5 KB