BMJ

Confidential: For Review Only

Refugee migration and risk of and other non - affective psychoses: a cohort study of 1.3m people in Sweden

Journal: BMJ

Manuscript ID BMJ.2015.029606.R1

Article Type: Research

BMJ Journal: BMJ

Date Submitted by the Author: 02-Dec-2015

Complete List of Authors: Hollander, Anna-Clara; Karolinska Institutet, Dept. of Public Health Dal, Henrik; Centre for Epidemiology and Community Medicine Lewis, Glyn; UCL Psychiatric Epidemiology, Sciences Unit Magnusson, Cecilia; Karolinska Institutet, Public Health Sciences; Centre for Epidemiology and Community Medicine Kirkbride, James; UCL Psychiatric Epidemiology, Mental Health Sciences Unit Dalman, Christina; Karolinska Institutet, Public Health Sciences; Centre for Epidemiology and Community Medicine

refugees, migrants, schizophrenia, psychotic disorder, incidence, cohort Keywords: study

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1 2 3 Refugee migration and risk of schizophrenia and other non-affective 4 5 psychoses: a cohort study of 1.3m people in Sweden 6 7 8 Confidential: For Review Only ‡ 9 Anna-Clara Hollander, Henrik Dal, Glyn Lewis, Cecilia Magnusson, James B Kirkbride, Christina ‡ 10 Dalman 11 12 Department of Public Health Sciences, Karolinska Institutet, 171 77 Stockholm, Sweden: Anna-Clara 13 Hollander, postdoctoral researcher; Cecilia Magnusson, Professor of Public Health Epidemiology; 14 Christina Dalman, Professor of Public Health Epidemiology 15 16 Centre for Epidemiology and Community Medicine, Stockholm County Council, SE-171 77 Stockholm, 17 Sweden: Henrik Dal, statistician, Cecilia Magnusson, Professor of Public Health Epidemiology; 18 Christina Dalman, Professor of Public Health Epidemiology 19 20 Division of Psychiatry, UCL, London, W1T 7NF, UK: James B Kirkbride, Sir Henry Dale Fellow; Glyn 21 Lewis, Professor of Psychiatric Epidemiology 22 23 Correspondence to: Anna-Clara Hollander, [email protected] 24 ‡ 25 Joint senior authors 26 27 Key words: refugees, migrants, schizophrenia, psychotic disorder, incidence, cohort study 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 1

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1 2 3 Abstract 4 5 Objective 6 To determine whether refugees are at elevated risk of schizophrenia and other non-affective 7 psychotic disorders, relative to non-refugee migrants from similar regions of origin and the Swedish- 8 Confidential:born population. For Review Only 9 10 11 Design 12 Cohort study of people living in Sweden, born after 1 January 1984, and followed from their 14 th 13 birthday or arrival in Sweden, if later, until diagnosis of a non-affective psychotic disorder, 14 emigration, death or 31 December 2011. 15 16 17 Setting 18 Linked Swedish national register data. 19

20 21 Participants 22 1 347 790 persons, including people born in Sweden to two Swedish-born parents (88.3%), refugees 23 (1.8%) and non-refugee migrants (9.9%) from four major refugee-generating regions: the Middle 24 East & North Africa, Sub-Saharan Africa, Asia, Eastern Europe and Russia. 25 26 27 Main outcome measures 28 Cox regression analysis was used to estimate adjusted hazard ratios (aHR) for non-affective 29 psychotic disorders by refugee status and region of origin, controlling for age-at-risk, sex, disposable 30 31 income and population density. 32 33 Results 34 We identified 3 704 cases during 8.9m person-years of follow-up. The crude incidence rate was 38.5 35 36 per 100 000 person-years in the Swedish-born population (95% confidence interval: 37.2 to 39.9), 37 80.4 in non-refugee migrants (72.7 to 88.9) and 126.4 in refugees (103.1 to 154.8). Refugees were at 38 increased risk compared with both the Swedish-born population (aHR: 2.9; 2.3 to 3.6) and 39 non-refugee migrants (aHR: 1.7; 1.3 to 2.1) after adjustment for confounders. The increased rate in 40 41 refugees compared with non-refugee migrants was more pronounced in men (p=0.001), and present 42 for refugees from all regions except Sub-Saharan Africa, where both refugees and non-refugee 43 migrants experienced similarly high rates relative to the Swedish-born population. 44 45 46 Conclusions 47 Refugees face an increased risk of schizophrenia and other non-affective psychotic disorders 48 compared with non-refugee migrants from similar regions of origin and the native-born Swedish 49 population. Clinicians and health service planners in refugee-receiving countries should be aware of 50 51 raised psychosis risk in addition to other mental and physical health inequalities experienced by 52 refugees. 53 54 55 56 57 58 59 60 2

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1 2 3 What this paper adds 4 5 Section 1: What is already known on this subject 6 Immigrant populations are at elevated risk of schizophrenia and other non-affective psychotic 7 8 Confidential:disorders. It is unclear whether refugees experiencFore rates Review of these disorders over andOnly above those 9 typically observed in non-refugee immigrant groups. 10 11 12 13 Section 2: What this study adds 14 Using a national cohort study of over 1.3m people in Sweden, we found that the incidence rate of a 15 16 non-affective psychotic disorder was 66% higher amongst refugees than among non-refugee 17 18 migrants from similar regions of origin, and nearly three times greater than in the native-born 19 Swedish population. These patterns were apparent for men and women, although were stronger in 20 21 men. Refugees from all regions of origin experienced higher rates of psychotic disorder than non- 22 refugee migrants, except for people from Sub-Saharan Africa, where both groups experienced 23 24 similarly high rates relative to the Swedish-born population. Clinicians and health service planners 25 26 should be aware of early signs of psychosis in vulnerable migrant populations, who may benefit from 27 timely and early interventions. More broadly, our research is consistent with the possibility that 28 29 psychologically traumatic life events contribute to the aetiology of schizophrenia and other non- 30 affective psychoses. 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 3

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1 2 3 Introduction 4 5 Schizophrenia and other psychotic disorders lead to lifelong health and social adversities, 6 culminating in a reduced life expectancy of 10 to 25 years. 1 Immigrants and their descendants are, 7 8 Confidential:on average, 2.5 times more likely to experience For a psychotic Review disorder than the majority Only ethnic group 9 2 3 in a given setting, although exact risk varies by ethnicity and setting. For example, in Europe, 10 11 incidence rates for people of black Caribbean or African descent are approximately five times higher

12 2 4 13 than experienced in the white European population. These marked differences persist after 14 adjustment for age, sex and socioeconomic position,5 are maintained in the descendants of first 15 16 generation migrants, 2 and do not appear to be attributable to higher incidence rates in people’s 17 6 7 8 9 18 country of origin, or selective migration. Possible explanations centre on various social 19 determinants of health, including severe or repeated exposure to psychosocial adversities such as 20 21 trauma, abuse, socioeconomic disadvantage, discrimination and social isolation. If true, people 22 granted refugee status may be particularly vulnerable to psychosis, given their increased exposure to 23 24 these risk factors as a result of conflict, persecution, violence or famine.10 11 25 26 27 While refugees experience more mental health problems than their non-refugee counterparts, 11 12 28 29 including posttraumatic stress disorder (PTSD) 13 and common mental disorders, 14 little is known 30 about psychosis risk in refugees. One previous longitudinal study from Denmark observed that 31 32 refugees were at elevated psychosis risk compared with the native-born Danish population. 15 33 34 However, the risk in refugees was not compared with other non-refugee migrants (henceforth 35 referred to as migrants), known to be at increased risk, 16 making it impossible to attribute this excess 36 37 directly to a refugee effect. More recently, a Canadian cohort study found that refugees had a

38 17 39 modestly increased risk of schizophrenia compared with other migrants, but neither group were at 40 elevated risk compared with an ethnically-diverse Canadian-born background population, making 41 42 this finding difficult to interpret, and contrary to a large literature on immigration and psychosis. 2 43

44 45 Here, we clarify the risk of non-affective psychotic disorders, including schizophrenia, in refugees 46 47 compared with both migrants and the native-born Swedish population in a national population- 48 based cohort of 1.3m people. Sweden has a total population size of 9.7 million inhabitants, of whom 49 50 1.6 million people were born abroad. In 2011, refugees constituted 12% of the total immigrant 51 52 population. Sweden experienced high levels of labour immigration between 1940 and 1970, 53 followed by substantial refugee immigration. 18 On a per capita basis Sweden grants more refugee 54 55 applications than any other high income country, 19 which combined with national linked register 56 data, makes it an excellent setting to conduct this research. We hypothesised that refugees would 57 58 59 60 4

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1 2 3 have a higher risk of non-affective psychotic disorders than migrants, and that risk for both groups 4 5 would be elevated compared with the Swedish-born population. We also hypothesised that risk in 6 refugees compared with migrants would vary by region of origin, given putative differences in the 7 8 Confidential:pre-migratory experiences of migrants from For different regions. Review Only 9

10 11 Methods 12 13 Study design and population 14 We established a retrospective cohort of 1 347 790 people born after 1 January 1984, who were 15 16 either (1) born in Sweden to two Swedish-born parents (N=1 191 004), (2) a refugee (N=24 123) or 17 18 (3) a non-refugee first generation migrant (N=132 663) granted residency in Sweden. To permit valid 19 comparisons between refugee and migrants, we restricted the immigrant sample to people born in 20 21 geographical regions with at least 1 000 refugees in our cohort (see below). People without an 22 official residence permit in Sweden were excluded i.e. undocumented migrants or people pending 23 24 an official asylum decision. We followed participants from their 14 th birthday, or date of arrival in 25 26 Sweden if later, until diagnosis of an International Classification of Diseases, Tenth Revision (ICD-10) 27 non-affective psychotic disorder (F20-29), emigration, death or 31 December 2011, whichever was 28 29 sooner. We could not include people who immigrated to Sweden before 1 January 1998 (N=53 855), 30 because refugee status was not sufficiently recorded in the Swedish national registers prior to this 31 32 date. We also excluded 812 (0.06%) participants with missing data on municipality of residence in 33 34 Sweden at cohort entry, required to estimate urban residency as a covariate (see below). Excluded 35 participants did not differ from immigrants included in the cohort by sex (51.0% vs. 50.7% men; χ2 36 37 p=0.21), but had a higher disposable income (11.0% vs 5.4% were in the highest income quartile; χ2 38 2 39 p<0.001) and were more likely to come from the former Yugoslavia (32.4% vs 8.5%; χ p<0.001) than 40 other regions. Crude incidence rates were similar between excluded (77.7 per 100 000 person-years; 41 42 70.4 to 85.8) and included immigrants (86.6; 79.1 to 94.7). 43 44 45 Data sources 46 47 Data were extracted from a large, longitudinal database of linked national registers, known as 48 Psychiatry Sweden, which included data on all people officially resident in Sweden after 1 January 49 50 1932, linked via a unique personal identity number and anonymized by Statistics Sweden for 51 52 research purposes. We obtained relevant outcome, exposure and covariate data from the following 53 registers: The Register of the Total Population to identify cohort participants and obtain basic 54 55 demographic data (birth date, sex, country of birth); the Multi-generation Register to link 56 57 participants to their parents for identification of the native-born Swedish population; the 58 59 60 5

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1 2 3 Longitudinal integration database for health insurance and labour market studies (LISA) to obtain 4 5 data on disposable income; the immigration and emigration database (STATIV) to obtain migration 6 and refugee data; The National Patient Register to obtain outcome data, and; the Causes of Death 7 8 Confidential:Register for data pertaining to mortality. For Review Only 9

10 11 Outcome 12 13 Our primary outcome was an ICD-10 clinical diagnosis of non-affective psychotic disorder (F20-29), 14 which included schizophrenia (F20) and all other non-affective psychotic disorders (F21-29). We 15 16 defined cases as cohort participants with a first recorded diagnosis between 1 January 1998 and 31 17 18 December 2011 in the National Patient Register, which records diagnoses following in- and out- 19 patient admissions in Sweden (including privately-run public healthcare settings). In-patient records 20 21 are complete since 1987, while complete recording from out-patient settings began in 2001. We 22 excluded anyone with a recorded diagnosis of non-affective psychotic disorder made before 14 years 23 24 old (N=156). 25 26 27 Exposures 28 29 Our primary exposure was refugee status, defined as either: a refugee, other migrant or Swedish- 30 born to two Swedish-born parents, obtained from the STATIV database, which records the reason 31 32 why a residence permit was granted. Permanent residency for asylum in Sweden is based on the 33 18 34 Swedish Migration Agency’s definition of refugee status, made in accordance with Swedish law and 35 the UN Refugee Convention, as someone who: "owing to a well-founded fear of being persecuted 36 37 […] is unable to, or owing to such fear, is unwilling to avail himself of the protection of that

38 20 (pp.14) 39 country." All other immigrants granted official residency were classified as migrants. We 40 identified people born in Sweden to two Swedish-born parents (henceforth the “Swedish-born” 41 42 group) via linkage to the multi-generation register. 43

44 45 As a secondary exposure, we classified people according to region of origin, as defined by country of 46 47 birth. Although Statistics Sweden records data on specific country of birth, information is only 48 released for research purposes according to 13 larger geographical regions to ensure confidentiality. 49 50 From this variable, we derived a broader region of origin variable for analysis, which included 51 52 Sweden (Swedish-born only) and four other regions from which at least 1 000 refugees in our cohort 53 originated: Sub-Saharan Africa, Asia, Eastern Europe and Russia, and the Middle East & North Africa 54 55 (see Supplemental Table 1). 56

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1 2 3 4 5 6 Confounders 7 8 Confidential:We included age-at-risk and sex as two a prioriFor confounder Review variables in all analyses. Only We also included 9 individual disposable income in Sweden and population density at cohort entry as covariates, to 10 11 adjust for possible differences between refugees, migrants and the Swedish-born population. 12 13 14 Disposable income was defined as annual disposable income, based on total family income from all 15 16 registered sources, including wages, welfare benefits, other social subsidies and pensions. Individual 17 18 disposable income was estimated by Statistics Sweden, weighting total family income according to 19 household size and composition, with younger children given lower weights than older household 20 21 members. We measured disposable income at the earliest point during follow-up (available in LISA 22 at 16 years old, or arrival in Sweden, if later). To account for inflation, individual disposable income 23 24 was categorised into quartiles, relative to all other cohort members assigned a disposable income 25 26 score in the same year. 27 28 29 We defined urban residency according to the population density of each participant’s municipality of 30 residence at cohort entry, expressed as the total population per squared kilometre [ppkm 2]. Sweden 31 32 consists of 290 municipalities (median population density: 26.3ppkm 2; interquartile range: 12.2 – 33 34 75.7). For descriptive purposes, we classified participants into three population density categories: 35 0-26.2ppkm 2 (very rural areas, below Swedish median), 26.3-260ppkm 2 (rural and semi-rural areas), 36 37 260.1-4617.2ppkm 2 (metropolitan, suburban and urban areas). To more effectively adjust for 38 39 population density, we used a continuous measure in our analyses, first transformed onto the 40 natural logarithm scale to account for its positive skewed distribution across municipalities. 41 42 43 Statistical analyses 44 45 We reported basic descriptive statistics and crude incidence rates for refugees, migrants and the 46 47 Swedish-born group. Next, we fitted Cox proportional hazard models to estimate hazard ratios (HR) 48 and 95% confidence intervals (95% CIs) according to each exposure variable. Follow-up time was 49 50 based on the earliest date of entry into the risk period (date of 14 th birthday, or for all immigrants 51 52 older than 14 years on arrival, date of immigration) until exit from the cohort. Age-at-risk was 53 modelled as a time-varying covariate, using Lexis expansion to stratify each participant into N 54 55 observations, taking into account differing ages-at-risk over the follow-up period (14-16, 17-19, 20- 56 22, 23-25, 26-27; N =5). 57 max 58 59 60 7

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1 2 3 4 5 We initially examined the effect of refugee status on risk of non-affective psychotic disorder, after 6 adjustment for age-at-risk, sex and their interaction, if statistically significant. In a second 7 8 Confidential:adjustment we added disposable income andFor populatio nReview density. We tested whether Only the 9 relationship between refugee status and non-affective disorder differed between men and women, 10 11 by fitting an interaction term between refugee status and sex, with results presented separately for 12 13 men and women, where appropriate. We repeated these analyses for our secondary exposure 14 variable, region of origin. Next, to determine whether risk of non-affective psychotic disorder in 15 16 refugees relative to migrants differed by region of origin we fitted a Cox regression model to a 17 18 subset of the cohort, excluding the Swedish-born group who did not contribute information to these 19 analyses. Given the small sample of female refugees diagnosed with psychosis (N=27), these 20 21 analyses were restricted to both sexes and, separately, for men only. All statistical interactions were 22 assessed using likelihood ratio tests [LRT] against a model without the relevant interaction term. 23 24 25 26 To minimise the possibility that any immigrants diagnosed with non-affective psychotic disorder may 27 have been prevalent (i.e. existing) cases on arrival to Sweden, we conducted sensitivity analyses on 28 29 all models, excluding any refugee or non-refugee migrant diagnosed within 12 months of 30 immigration. Finally, we checked our main models (via LRT) for departure from proportional hazards. 31 32 We used Stata v13 to analyse the data. 33 34 35 Results 36 37 We identified 3,704 cases during more than 8.9 m person-years of follow-up (Table 1). Median age- 38 39 at-first-diagnosis in the Swedish-born population was 20.1 years old (interquartile range: 18.3 to 40 22.3), younger than for refugees (21.0; 19.2 to 23.7; Mann-Whitney p<0.001) and non-refugees 41 42 (20.9; 18.7 to 23.6; Mann-Whitney p<0.001), for whom age-at-first-diagnosis was similar (Mann- 43 Whitney p=0.30). Following arrival in Sweden, time to first diagnosis was sooner for refugees 44 45 (median 2.8 years: 0.7 to 5.6) than migrants (3.9 years: 1.2 to 7.0; Mann-Whitney p=0.02). 46 47 48 49 50 51 52 The crude incidence rate of non-affective psychotic disorders was 38.5 per 100,000 person-years in 53 the Swedish-born population (95% CI: 37.2 to 39.9), 80.4 in migrants (72.7 to 88.9) and 126.4 in 54 55 refugees (103.1 to 154.8). This corresponded to an absolute rate difference of 45.9 per 100 000 56 person-years (19.0 to 72.9) in refugees compared with migrants, in addition to an extra 41.9 cases 57 58 59 60 8

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1 2 3 per 100 000 person-years (33.7 to 50.1) in migrants compared with the Swedish-born population. 4 5 Compared with the Swedish-born population, hazard ratios were 2.90 (2.31 to 3.64) times higher in 6 refugees, and 1.75 (1.51 to 2.02) times higher in migrants, after adjustment for age, sex, their 7 8 Confidential:interaction, disposable income and population For density (TableReview 2). Refugees were 1.66 Only (1.32 to 2.09) 9 times more likely to be diagnosed with non-affective psychotic disorders than migrants. These 10 11 associations were more pronounced in men than women (LRT p-value for interaction = 0.001; Table 12 13 2 and Figure 1). 14 15 16

17 18 19 Taking refugees and migrants together, immigrants from all regions of origin had increased rates of 20 21 disorder relative to the Swedish-born population, after adjustment for age-at-risk and sex 22 (Supplemental Table 2). Hazard ratios were most pronounced for all immigrants from Sub-Saharan 23 24 Africa (HR: 5.23; 4.32 to 6.34), observed for both men (HR: 6.68; 5.33 to 8.37) and women (HR: 3.64; 25 26 2.68 to 4.94) separately. These patterns persisted after adjustment for disposable income and 27 population density, ranging from 1.41 (1.11 to 1.78) in people from Eastern Europe and Russia, to 28 29 4.10 (3.38 to 4.98) in people from Sub-Saharan Africa, relative to the Swedish-born population. 30

31 32 33 34 35 We next investigated whether the elevated rates of non-affective psychotic disorders in refugees 36 37 compared with migrants differed by region of origin, excluding the Swedish-born population who did 38 39 not contribute to these analyses. For men and women combined, there was evidence that the rate 40 of non-affective psychosis in refugees compared with migrants varied by region of origin (Table 3; 41 42 LRT p=0.05). This finding was even more pronounced in men (LRT p=0.007), such that rates of non- 43 affective psychotic disorder were elevated in refugees compared with migrants from all regions of 44 45 origin, except Sub-Saharan Africa (HR: 0.68; 0.40 to 1.16), after adjusting for age-at-risk, sex, 46 47 disposable income and population density (Table 3). Male refugees from Eastern Europe and Russia 48 were at greatest risk compared with their migrant counterparts (HR: 2.88; 1.22 to 6.82). In general, 49 50 the rate of psychotic disorders in refugees relative to migrants became smaller as the crude 51 52 incidence rate in non-refugees from each region of origin increased (Table 3). No attempt to 53 examine this effect in women was made, given insufficient numbers of refugees (N=27). 54 55 56

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1 2 3 4 5 Sensitivity analyses, excluding potentially prevalent cases amongst immigrants, did not appreciably 6 alter estimates of associations for our main exposures (Supplemental Tables 3 and 4). The 7 8 Confidential:assumption of proportional hazards was not For violated (p=0.84 Review and p=0.13 for analyses Only of refugee 9 status and region of origin, respectively). 10 11 12 13 Discussion 14 In this cohort study, we have found that refugees granted asylum in a high income setting were, on 15 16 average, 66% more likely to develop schizophrenia or another non-affective psychotic disorder than 17 18 migrants from the same regions of origin, and up to 3.6 times more likely to do so than the Swedish- 19 born population. 20 21 22 Strengths and weaknesses 23 24 This study has several methodological strengths. It was based on a large, national population-based 25 26 cohort of over 1.3m people, followed for more than 8.9m person-years using linked Swedish register 27 data. This research has not previously been possible due to a lack of information on the reason for 28 29 migration in official Swedish registers; one earlier attempt to investigate this issue in Sweden could 30 not distinguish between refugee and non-refugee from the same region. 21 Swedish register data is 31 32 known to be reliable for research purposes, 22 23 and diagnosis of psychotic disorders recorded in the 33 24-26 34 National Patient Register has good validity and positive predictive value. This register is highly 35 complete, recording all psychiatric contacts from in-patient settings from 1988 onwards, and from 36 37 out-patient settings since 2001. While this may have led to slight under-ascertainment from out- 38 39 patient settings between 1998 and 2000, we have no reason to believe this would have introduced 40 differential bias by refugee status or region of origin. We cannot exclude the possibility that we 41 42 under-estimated the true incidence of non-affective psychoses in Sweden, particularly for certain 43 groups, such as recent immigrants or refugees, who may have been unfamiliar with the Swedish 44 45 healthcare system, faced greater language barriers or who had poor health literacy. 27 If these 46 47 accessibility issues differed according to gender, the true incidence amongst migrant and refugee 48 women may have been underestimated in the Swedish patient register, making our hazard ratios 49 50 conservative. 51 52 53 Sensitivity analyses suggested that our results were not attributable to prevalent cases amongst 54 55 refugees and migrants. Although diagnostic bias has been proposed to explain excess rates of 56 psychotic disorders observed in immigrant groups, 8 there is little evidence to support this 57 58 59 60 10

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1 2 3 possibility. 28 Studies where participant ethnicity was blinded during the diagnostic process have

4 29 5 confirmed rates of psychotic disorders in ethnic minority groups. In our study, any diagnostic bias is 6 unlikely to have accounted for observed differences in risk between refugees and migrants from the 7 8 Confidential:same regions of origin. Furthermore, by law, For interpreters Review have to aid clinical consultations Only when 9 13 necessary in Sweden. Refugees are also at elevated risk of PTSD, which can present with psychotic 10 11 features; however, our findings are unlikely to be attributable to misdiagnosed cases of PTSD 12 13 amongst refugees, since these disorders often present comorbidly in people exposed to 14 psychologically traumatic expderiences.30 15 16 17 18 We were unable to include immigrants who arrived in Sweden before 1998 in our study, because 19 data on refugee status was unavailable before that year. These groups were more likely to come 20 21 from the former Yugoslavia, reflecting geopolitical conflicts of the time. This may have reduced our 22 power to detect differences between refugees and other migrants from Eastern Europe, but we 23 24 have no reason to believe their exclusion would have otherwise biased our estimates; the crude 25 26 incidence in this group was comparable with that for included immigrants, despite their higher post- 27 migratory disposable income. Finally, notwithstanding our large cohort size, the number of cases in 28 29 refugees was small, which limited our power to detect effects in certain groups, most notably 30 women, for whom risk of non-affective psychotic disorders is, on average, half that of men. 31 31 32 33 34 As our study was based on routine register data, information on potentially aetiologically relevant 35 experiences prior to migration was unavailable. Such pre-migratory experiences remain an 36 37 important area for future research. Our cohort includes migrants and refugees exposed to various 38 39 humanitarian crises resulting from conflict (i.e. , Iran, Afghanistan, the Balkans, Central Africa) as 40 well as famine (i.e. East Africa). Whilst it is too early to determine whether people currently seeking 41 42 refuge in Europe following contemporary humanitarian crises (i.e. in Syria, Iraq, Afghanistan, parts of 43 North Africa, Kosovo, Albania) would also be at greater risk of psychotic disorder, we assume our 44 45 findings will generalise to these groups for two reasons. First, there is a degree of geographical 46 32 47 overlap between the regions we included and those generating current humanitarian crises. 48 Second, we presume that exposure to war, famine and persecution would have a universal effect on 49 50 individual psychosis risk, all other risk and protective factors being equal. 51 52 53 We adjusted for possible differences between refugees, migrants and the Swedish-born population 54 55 with regard to age, sex, disposable income and population density at cohort entry. We did not 56 include other post-migratory markers of potential social disadvantage; such factors may lie on the 57 58 59 60 11

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1 2 3 causal pathway between immigration and psychosis risk, thus making adjustment difficult to 4 5 interpret. We were unable to examine psychosis risk in so-called second generation refugees or 6 migrants, because our study population was born after 1984, making their children too young to 7 8 Confidential:have entered the risk period for psychosis beforeFor the end Review of our follow-up period inOnly 2011. 9

10 11 Clinical and public health implications of the study 12 13 Contemporary humanitarian crises in Europe, the Middle East, North Africa and Central Asia have 14 contributed to more displaced persons, asylum seekers and refugees worldwide than at any time 15 16 since World War II. 33 The severe social, economic and health inequalities faced by displaced 17 18 populations arising from these crises are often compounded by national immigration policies and 19 structural constraints in receiving countries. In turn, exposure to these ongoing adversities appears 20 11-13 21 likely to contribute to the increased risk of PTSD and common mental disorders among refugees. 22 Our data highlight further mental health inequalities facing such groups. 34 Clinicians and service 23 24 planners in high income settings should be aware of the early signs of psychosis in refugees, for 25 26 whom median presentation to services after arrival to Sweden was over a year sooner than for other 27 migrant groups. Just as for the general population, refugees and their families will benefit from 28 29 timely and early interventions and care, particularly in those exposed to severe psychosocial 30 adversity. Our findings are consistent with the hypothesis that increased risk of non-affective 31 32 psychotic disorders among immigrants is due to exposure to psychologically traumatic experiences 33 35 34 prior to migration, including the effects of war, violence, famine or persecution. Further studies will 35 be required to confirm this possibility. Violence experienced by children 36 and adults 11 who flee 36 37 persecution has been linked to worse subsequent mental health in general. Intriguingly, there was 38 39 some evidence to suggest that psychosis risk in refugees relative to other migrants varied by region 40 of origin in our data. While this finding requires replication in larger samples, it suggests that in 41 42 addition to refugee status, context matters. For example, we observed no differences in psychosis 43 risk between refugees and non-refugee migrants amongst immigrants from Sub-Saharan Africa; 44 45 perhaps because both groups experienced highly increased rates of disorder (over 165 new cases 46 47 per 100 000 person-years) . One parsimonious explanation for this finding is that a larger proportion 48 of Sub-Saharan Africa immigrants will have been exposed to deleterious psychosocial adversities 49 50 prior to emigration, irrespective of refugee status. By contrast, pre-migratory psychosocial 51 52 adversities experienced by refugees from Eastern Europe and Russia vis-à-vis non-refugee migrants 53 from these countries, may differ substantially, thus confining excess psychosis risk to the refugee 54 55 group from such regions. 56

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1 2 3 Other issues, including difficulties in the asylum process, also warrant further investigation. For 4 5 example, women seeking asylum are less likely to be granted refugee status than men, given greater 6 structural and cultural barriers in the asylum process. 37 In our study, such an effect would have led 7 8 Confidential:to a higher proportion of women being classified For as migrants, Review which may have partially Only explained 9 why differences in incidence between female refugees and non-refugees were less pronounced than 10 11 for their male counterparts. A recent study by Oram et al has further highlighted high levels of 12 13 severe mental illness faced by trafficked migrants, who represent another vulnerable group of 14 migrants. 38 Another important avenue will be to investigate whether post-migratory risk and 15 16 protective factors affect the risk and course of disorder in refugees and other migrants following 17 18 resettlement. In general population samples, there is some evidence to suggest that perceived 19 discrimination 39 and ethnic density 40 (proximity to one’s own ethnic group) are, respectively, risk and 20 21 protective factors for psychosis. Issues including cultural distance, social network size, employment 22 opportunities and the host population’s perceptions about immigration may also influence exposure 23 24 to ongoing social adversity experienced by different immigrant populations. 25 26 27 Conclusion 28 29 Our study shows that, on average, refugees in a high income setting face substantially elevated rates 30 of schizophrenia and other non-affective psychoses, in addition to the array of other mental, 31 32 physical and social inequalities which already disproportionately affect these vulnerable populations. 33 34 This risk exceeded the well-established excess burden of psychosis experienced in immigrant and 35 ethnic minority groups more generally, and thus emphasises the need to take the early signs and 36 37 symptoms of psychosis into account in refugee populations, as part of any clinical mental health 38 39 service responses to current global humanitarian crises. More broadly, our findings support the 40 possibility that exposure to psychosocial adversity increases the risk of psychosis. 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 13

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1 2 3 Details of contributors 4 5 A-CH and JK had full access to the final data, performed statistical analyses, drafted the tables of the 6 data, co-wrote the manuscript, had final responsibility for content, and the decision to submit for 7 8 Confidential:publication. A-CH, JK and HD prepared the Fordata. A-CH and Review CD conceived of the study. Only A-CH, JK and 9 CD designed the study. CD and HD acquired all other cohort data. A-CH, CD and, HD acquisitioned 10 11 the migration data. A-CH, JK and CD obtained funding for the study. A-CH, JK, CD, CM, GL interpreted 12 13 statistical analyses. HD coordinated the data management and A-CH wrote the study protocol. All 14 authors critically revised the paper for important intellectual content and approved the final version. 15 16 17 18 Declaration of interests 19 All authors have completed the Unified Competing Interest form at 20 21 www.icmje.org/coi_disclosure.pdf (available on request from the corresponding author) and declare 22 that (1) A-CH, JK, HD, CD, CM and GL have no support from any company for the submitted work; (2) 23 24 A-CH, JK, HD, CD, CM and GL have no relationships with any companies that might have an interest 25 26 in the submitted work in the previous 3 years; (3) their spouses, partners, or children have no 27 financial relationships that may be relevant to the submitted work; and (4) A-CH, JK, HD, CD, CM and 28 29 GL have no non-financial interests that may be relevant to the submitted work. 30

31 32 Funding and role of funder 33 34 The work for this paper was supported by FORTE (dnr 2014-1430) and FORTE (dnr 2014-2678). Dr 35 Kirkbride is supported by a Sir Henry Dale Fellowship jointly funded by the Wellcome Trust and the 36 37 Royal Society (Grant number: 101272/Z/13/Z). 38 39 40 Ethics approval 41 42 This research has ethical approval as part of Psychiatry Sweden “Psykisk ohälsa, psykiatrisk sjukdom: 43 förekomst och etiologi”, approved by the Stockholm Regional Ethical Review Board Dnr 2010/1185- 44 45 31/5. The funders had no involvement in any aspect of the design of this study, preparation of 46 47 results, or decision to submit for publication. 48 49 50 Access to data 51 52 All authors had full access to all of the data (including statistical reports and tables) in the study and 53 can take responsibility for the integrity of the data and the accuracy of the data analysis. 54 55 56 Data sharing 57 58 59 60 14

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1 2 3 Statistical code is available from the corresponding author. Under Swedish law and ethical approval, 4 5 patient-level data cannot be made available. 6 7 8 Confidential:Transparency declaration For Review Only 9 Anna-Clara Hollander (the manuscript's guarantor) affirms that the manuscript is an honest, 10 11 accurate, and transparent account of the study being reported; that no important aspects of the 12 13 study have been omitted; and that any discrepancies from the study as planned (and, if relevant, 14 registered) have been explained. 15 16 17 18 Copyright for authors 19 The Corresponding Author, Anna-Clara Hollander, has the right to grant on behalf of all authors and 20 21 does grant on behalf of all authors, a worldwide licence to the Publishers and its licensees in 22 perpetuity, in all forms, formats and media (whether known now or created in the future), to i) 23 24 publish, reproduce, distribute, display and store the Contribution, ii) translate the Contribution into 25 26 other languages, create adaptations, reprints, include within collections and create summaries, 27 extracts and/or, abstracts of the Contribution, iii) create any other derivative work(s) based on the 28 29 Contribution, iv) to exploit all subsidiary rights in the Contribution, v) the inclusion of electronic links 30 from the Contribution to third party material where-ever it may be located; and, vi) licence any third 31 32 party to do any or all of the above 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 15

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1 2 3 20. United Nations High Commissioner for Refugees (UNHCR). Convention and protocol relating to 4 the status of refugees, 1951, 1967. Retrived December 1, 2015 5 21. Leao TS, Sundquist J, Frank G, Johansson LM, Johansson SE, Sundquist K. Incidence of 6 schizophrenia or other psychoses in first- and second-generation immigrants: a national 7 cohort study. J Nerv Ment Dis 2006;194(1):27-33. 8 Confidential:22. Abel KM, Heuvelman HP, Jorgensen L, MagnussonFor C , ReviewWicks S, Susser E, et al. Severe Only 9 bereavement stress during the prenatal and childhood periods and risk of psychosis in later 10 life: population based cohort study. BMJ 2014;348:f7679. 11 12 23. Rai D, Lee BK, Dalman C, Golding J, Lewis G, Magnusson C. Parental depression, maternal 13 antidepressant use during pregnancy, and risk of autism spectrum disorders: population 14 based case-control study. BMJ 2013;346:f2059. 15 24. Dalman C, Broms J, Cullberg J, Allebeck P. Young cases of schizophrenia identified in a national 16 inpatient register--are the diagnoses valid? Soc Psychiatry Psychiatr Epidemiol 17 2002;37(11):527-31. 18 25. Jorgensen L, Allebeck P, Dalman C. Prevalence of psychoses in Stockholm County-A population- 19 based study using comprehensive healthcare registers. Nord J Psychiatry 2013. 20 26. Ludvigsson JF, Andersson E, Ekbom A, Feychting M, Kim JL, Reuterwall C, et al. External review 21 and validation of the Swedish national inpatient register. BMC Public Health 2011;11:450. 22 27. Wangdahl J, Lytsy P, Martensson L, Westerling R. Health literacy among refugees in Sweden - a 23 cross-sectional study. Bmc Public Health 2014;14. 24 25 28. Myers NL. Update: schizophrenia across cultures. Curr Psychiatry Rep 2011;13(4):305-11. 26 29. Fearon P, Kirkbride JB, Morgan C, Dazzan P, Morgan K, Lloyd T, et al. Incidence of schizophrenia 27 and other psychoses in ethnic minority groups: results from the MRC AESOP Study. Psychol 28 Med 2006;36(11):1541-50. 29 30. O’Conghaile A, DeLisi LE. Distinguishing schizophrenia from posttraumatic stress disorder with 30 psychosis. Curr Opin Psychiatry 2015;28(3):249-55. 31 31. Kirkbride JB, Fearon P, Morgan C, Dazzan P, Morgan K, Tarrant J, et al. Heterogeneity in incidence 32 rates of schizophrenia and other psychotic syndromes: findings from the 3-center AeSOP 33 study. Arch Gen Psychiatry 2006;63(3):250-8. 34 32. European Commission, Eurostat. http://ec.europa.eu/eurostat/estat-navtree-portlet- 35 prod/BulkDownloadListing?file=data/migr_asyappctzm.tsv.gz. 2015 ed, 2015. 36 33. United Nations High Commissioner for Refugees (UNHCR). Global Appeal 2015 Update, 2015. 37 38 34. Hjern A, Wicks S, Dalman C. Social adversity contributes to high morbidity in psychoses in 39 immigrants--a national cohort study in two generations of Swedish residents. Psychol Med 40 2004;34(6):1025-33. 41 35. Kirkbride JB, Jones PB. Epidemiological aspects of migration and mental illness. In: Bhugra D, 42 Gupta S, editors. Migration and mental health . Cambridge: Cambridge University Press, 43 2011:xv, 350 p. 44 36. Fazel M, Reed RV, Panter-Brick C, Stein A. Mental health of displaced and refugee children 45 resettled in high-income countries: risk and protective factors. Lancet 2012;379(9812):266- 46 82. 47 37. United Nations High Commissioner for Refugees (UNHCR). Beyond Proof, Credibility Assessment 48 in EU Asylum Systems. http://www.unhcr.org/51a8a08a9.html, 2013. Retrived December 1, 49 2015 50 51 38. Domoney J, Howard LM, Abas M, Broadbent M, Oram S. Mental health service responses to 52 human trafficking: a qualitative study of professionals' experiences of providing care. BMC 53 Psychiatry 2015;15(1):289. 54 39. Veling W, Selten JP, Susser E, Laan W, Mackenbach JP, Hoek HW. Discrimination and the 55 incidence of psychotic disorders among ethnic minorities in The Netherlands. International 56 Journal of Epidemiology 2007;36(4):761-68. 57 58 59 60 17

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1 2 3 40. Shaw RJ, Atkin K, Becares L, Albor CB, Stafford M, Kiernan KE, et al. Impact of ethnic density on 4 adult mental disorders: narrative review. Br J Psychiatry 2012;201(1):11-9. 5 6 7 8 Confidential: For Review Only 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 18

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1 2 3 4 5 Table 1: CohortConfidential: characteristics by migrant status; refugees, non-refugee For migrants andReview the Swedish-born population Only 6 7 Refugee status 8 9 Swedish -born population Non -refugee migrants Refugee migrants 1 1 1 10 Category Case (%) Person -years (%) Case (%) Person -years (%) Case (%) Person -years (%) 11 Total 3 232 (100.0) 8 38 4 891 (100.0) 379 (100.0) 471 308 (100.0) 93 (100.0) 73 6 04 (100.0) 12 13 Sex Men 1 778 (55.0) 4 31 0 99 0 (51.4) 234 (61.7) 232 118 (49. 2) 66 (71.0) 41 0 69 (55.8) 14 Women 1 454 (45.0) 4 073 90 1 (48.6) 145 (38.3) 239 190 (50. 8) 27 (29.0) 32 535 (44.2) 15 16 Birth year 1984 -86 1 279 (39.5) 2 928 40 1 (34.9) 175 (46.2) 185 05 2 (39.3) 35 (37.6) 23 82 0 (32.4) 17 1987 -89 1 111 (34.4) 2 510 8 35 (29.9) 107 (28.2) 125 7 70 (26.7) 28 (30.1) 19 093 (25.9) 18 1990 -92 649 (20.1) 1 896 9 03 (22.6) 74 (19.5) 91 965 (19.5) 22 (23.7) 16 837 (22.9) 19 1993 -95 174 (5.4) 903 84 0 (10.8) 19 (5.0) 56 2 37 (11.9) 8 (8.6) 11 728 (15.9) 20 21 1996 -97 19 (0.6) 144 91 1 (1.7) 4 (1.1) 12 28 3 (2.6) 0 (0.0) 2 127 (2.9) 22 Region of origin Sweden 3 232 (100.0) 8 3 45 891 (100.0) - - - - 23 24 Sub -Saharan Africa - - 111 (29.3) 59 4 47 (12.6) 31 (33.3) 18 67 0 (25. 4) 25 Asia - - 66 (17.4) 105 64 7 (22.4) 15 (16.1) 12 929 (17.6) 26 Eastern Europe - - 80 (21.1) 134 09 4 (28.5) 7 (7.5) 6 54 6 (8.9) 27 Middle East - - 122 (32.2) 172 120 (36.5) 40 (43.0) 35 4 59 (48.2) 28 29 Income 1. Lowest quartile 1 156 (35.8) 2 161 330 (25.8) 264 (69.7) 339 062 (7 1.9) 63 (67.7) 51 9 53 (70.6) 30 2. Second quartile 830 (25.7) 2 185 386 (26.1) 52 (13.7) 63 153 (13.4) 12 (12.9) 10 486 (14.2) 31 3. Third quartile 679 (21.0) 2 073 84 1 (24.7) 45 (11.9) 35 919 (7.6) 13 (14.0) 6 768 (9.2) 32 33 4. Highest quartile 567 (17.5) 1 964 334 ( 23.4 ) 18 (4.8 ) 33 174 (7.0 ) 5 (5.4 ) 4 398 (6.0 ) 34 Population density 0-26.2 ppkm 2 875 (27.1) 2 303 728 (27.5) 50 (13.2) 55 129 (11.7) 25 (26.9) 21 746 (29.5) 35 26.3 -260 ppkm 2 1698 (52.5) 4 472 698 (53.3) 168 (44.3) 216 155 (45.9) 49 (52.7) 35 031 (47.6) 36 2 37 260.1 -4617.2 ppkm 659 (20.4) 1 608 466 (19.2) 161 (42.5) 200 024 (42.4) 19 (20.4) 16 827 (22.9) 38 1Rounded to nearest integer. ppkm 2: people per km 2 39 40 41 42 19 43 44 45 46 https://mc.manuscriptcentral.com/bmj 47 48 49 50 51 52 53 54 55 56 57 58 59 60 BMJ Page 20 of 26

1 2 3 4 5 Table 2: RiskConfidential: of non-affective psychoses by migrant status after adjustment For for confounders Review Only 6 7 8 All Men Women 9 10 Category Model 1 Model 2 Model 1 Model 2 Model 1 Model 2

11 HR (95% CI) HR (95% CI) HR (95% CI) HR (95% CI) HR (95% CI) HR (95% CI) 12 Swedish -born 1 1 1 1 1 1 13 Non -refugee migrant 2.28 (1.99 -2.62) 1. 75 (1.5 1-2. 02 ) 2.61 ( 2.22 -3.07 ) 2.0 1 (1.7 0-2. 38) 1.91 (1.58 -2.31) 1. 44 (1. 19 -1. 76 ) 14 Refugee migrant 3.61 (2.87 -4.53) 2.9 0 (2.3 1-3.6 4) 4.28 (3.28 -5.58) 3. 49 (2.6 7-4.5 5) 2.6 5 (1.80 -3.92) 2.0 7 (1.4 0-3.0 6) 15 16 17 Non -refugee migrant 1 1 1 1 1 1 18 Refugee migrant 1.58 (1.26 -1.99) 1.6 6 (1. 32-2.0 9) 1.64 (1.25 -2.15 ) 1.7 4 (1. 32-2.2 8) 1.39 (0.92 -2.10) 1. 43 (0.9 5-2. 16 ) 19 20 21 Legend: HR: Hazard Ratio; 95% CI: 95% confidence interval. Model 1 is adjusted for age-at-risk, sex and their interaction. Model 2 is also adjusted for disposable income and 2 22 population density. A likelihood ratio test on four degrees of freedom confirmed statistical interaction between sex and age-at-risk in Model 1 ( χ : 71.5; p<0.001) and 23 Model 2 ( χ2: 73.0; p<0.001). A LRT, on two degrees of freedom, also confirmed statistical interaction between sex and refugee status in Model 1 ( χ2: 11.7; p=0.003) and 24 Model 2 ( χ2: 13.5; p=0.001). Hazard ratios by refugee status are therefore presented separately for men and women. 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 20 43 44 45 46 https://mc.manuscriptcentral.com/bmj 47 48 49 50 51 52 53 54 55 56 57 58 59 60 Page 21 of 26 BMJ

1 2 3 Table 3: Risk of non-affective psychoses in refugees relative to non-refugees, by region of origin 4 5 6 All Men 7 Crude incidence Model 2 Crude incidence Model 2 8 Confidential:rate per 100,000 ForHR (95% CI)Review rate per 100,000 Only HR (95% CI) 9 PYAR (95% CI) PYAR (95% CI) 10 Swedish -born 38.5 (37.2 -39.9) - 41.2 (39.4 -43.2) - 11 12 13 Eastern Europe 14 Non -refugees 59. 7 (47.9 -74. 3) 1 62.5 (45. 9-85.2) 1 15 Refugees 106.9 (51.0 -224.3) 1.7 6 (0.8 1-3.8 2) 184.1 (82.7 -409. 8) 2. 88 (1.2 2-6.8 2) 16

17 18 Asia 19 Non -refugees 62. 5 (49. 1-79.5) 1 67.0 (48.3 -92. 9) 1 20 Refugees 116.0 (69.9 -192.4) 1. 78 (1.0 1-3.1 4) 146.1 (83.0 -257.3) 2.2 0 (1.1 3-4. 25 ) 21 22 23 Middle East & North Africa 24 Non -refugees 70. 9 (59. 4-84.6) 1 94.4 (75.9 -117. 4) 1 25 Refugees 112.8 (82.7 -153.8) 1.5 6 (1.0 8-2.2 3) 143. 5 (100.3 -205.2) 1.5 5 (1.0 1-2.3 6) 26 27 Sub -Saharan Africa 28 29 Non -refugees 186. 7 (15 5.0-224. 9) 1 26 9.0 (21 5.1-336. 3) 1 30 Refugees 166.0 (116.8 -236.1) 0.8 1 (0.5 4-1.2 3) 207.1 (130.5 -328.8) 0. 68 (0.4 0-1.1 6) 31 32 33 Legend: HR: Hazard Ratio; 95% CI: 95% confidence interval. PYAR: Person-years at-risk. Estimates from Model 34 1 and Model 2 were similar, and only data from Model 2, adjusted for age-at-risk, sex, their interaction (for 2 35 both sexes combined), disposable income and population density is reported. LRT χ p-values, on 3 degrees of 36 freedom, for statistical interaction between refugee status and region of origin were χ2: 8.0; p=0.05 for the full 37 sample, and χ2: 12.0; p=0.007 in an analysis restricted to men. Given the small number of refugee women with 38 the outcome (N=27) no attempt was made to inspect risk by region of origin separately for women. 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 21

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1 2 3 Figure 1: Hazard ratios for schizophrenia and other non-affective psychotic disorders by refugee 4 status and sex 5 6 7 6 8 Confidential: For Review Only 9 10 11 5 12 13 14 4 15 16 17 3 18 19 20 2 21

22 CI) (95% ratio Hazard 23 1 24 25 26 0 27 All Men Women All Men Women 28 29 Model 1 Model 2 30 31 Swedish-born Non-refugee migrant 32 Refugee migrant Refugee vs non-refugee migrant 33 34 35 Legend: Model 1 is adjusted for age-at-risk, sex and their interaction (where appropriate). Model 2 is 36 additionally adjusted for disposable income and population density. The Swedish-born group provide 37 the reference category, except for the hashed columns, which show hazard ratios for refugees 38 relative to non-refugee migrants. Error bars represent 95% confidence intervals. 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 22

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1 2 3 Supplementary Table 1: Region of origin classification and basic sample characteristics 4 Region of SMA Cohort characteristics Countries 3 5 1 2 6 origin classification Cases (%) PYAR (%) 7 Sweden Sweden 3 233 (87.3) 8 385 059 (93.9) Sweden 8 Confidential:Sub -Saharan West Africa 20 (0.5) For10 261 (0.1)Review Benin, Burkina Faso, Only Cape Verde, Gambia, 9 Africa Ghana, Guinea, Guinea Bissau, Ivory Coast, 10 Liberia, Mali, Mauritania, Niger, Nigeria, 11 Senegal, Sierra Leone, Togo 12 East Africa 93 (2.5) 50 562 (0.6) Djibouti, Eritrea, Ethiopia ,Somalia 13 Africa, other 29 (0.8) 17 333 (0.2) Angola, Botswana, Burundi, Cameroon, Central 14 African Republic, Chad, Comoros, Congo, 15 Democratic Republic of Congo, Equatorial 16 Guinea, Gabon, Kenya, Lesotho, Madagascar, 17 Malawi, Mauritius, Mozambique, Namibia, 18 Rwanda, Sao Tome and Principe, Seychelles, 19 South Africa, Swaziland, Tanzania, Uganda, 20 Zambia, Zanzibar 21 Asia Central Asia 42 (1.1) 57 020 (0.6) Afghanistan, Armenia, Azerbaijan, Bangladesh, 22 Bhutan, Georgia, India, Kazakhstan, Kyrgyzstan, 23 Maldives, Nepal, Pakistan, Sri Lanka, Tajikistan, 24 Turkmenistan 25 Northeast 14 (0.4) 22 714 (0.3) China, Japan, Mongolia, People’s Republic of 26 Asia Korea, South Korea, Taiwan 27 Southeast 25 (0.7) 36 946 (0.4) Brunei, Cambodia, East Timor, Hong Kong, 28 Asia Indonesia, Laos, Malaysia, Myanmar, 29 Philippines, Singapore, Thailand, Vietnam 30 Eastern Eastern 36 (1.0) 52 957 (0.6) Albania, Belarus, Bulgaria, Czech Republic, 31 Europe & Europe Hungary, Moldova, Poland, Romania, Slovakia, 32 Russia Ukraine 33 Former 36 (1.0) 58 534 (0.7) Bosnia Herzegovina, Croatia, Kosovo, 34 Yugoslavia Macedonia, Montenegro, Serbia, Slovenia 35 Russia & the 15 (0.4) 29 297 (0.3) Estonia, Latvia, Lithuania, Russia 36 Baltic States 37 Middle East Iran 105 (2.8) 138 638 (1.6) Iran 38 39 & North Iraq 21 (0.6) 20 057 (0.2) Iraq 40 African Middle East, 30 (0.8) 42 253 (0.5) Bahrain, Cyprus, Israel, Jordan, Kuwait, 41 other Lebanon, Oman, Palestine, Qatar, Saudi Arabia, 42 Syria, United Arab Emirates, Yemen, Turkey 43 North Africa 6 (0.2) 6 752 (0.1) Algeria, Egypt, Libya, Morocco, Tunisia 44 SMA: Swedish Migration Agency; PYAR: Person-years at-risk 45 1Predefined by authors for analysis, based on SMA classification 46 2 47 Categories provided by the Swedish Migration Agency for research purposes, reflecting major migrant and 48 refugee flows to Sweden 49 3Countries of origin, as defined by the Swedish Migration Agency, in each SMA category. Country-level data is 50 not made available by the SMA/Statistics Sweden for research purposes. 51 52 53 54 55 56 57 58 59 60 https://mc.manuscriptcentral.com/bmj BMJ Page 24 of 26

1 2 3 4 5 SupplementaryConfidential: Table 2: Risk of non-affective psychoses by region ofFor origin for all immigrantReview groups Only 6 7 All Men Women 8 Category Model 1 Model 2 Model 1 Model 2 Model 1 Model 2 9 HR (95% CI) HR (95% CI) HR (95% CI) HR (95% CI) HR (95% CI) HR (95% CI) 10 Sweden 1 1 1 1 1 1 11 12 Sub -Saharan Africa 5.2 4 (4.3 2-6.3 4) 4. 10 (3. 38 -4.98 ) 6. 68 (5. 33-8. 37) 5.25 (4.18 -6. 59 ) 3. 64 (2. 68 -4. 94 ) 2. 82 (2.07 -3.83 ) 13 Asia 1.9 6 (1.54 -2.51) 1. 50 (1.17-1.93 ) 2.0 4 (1.5 0-2. 77 ) 1.55 (1.1 3-2. 12) 1.8 8 (1. 31 -2. 69 ) 1. 43 (1.0 0-2. 06 ) 14 Eastern Europe 1.74 (1.38 -2. 20 ) 1. 41 (1.11-1. 78) 1.7 4 (1. 28 -2. 37 ) 1. 42 (1.0 4-1. 93) 1. 75 (1. 26 -2. 41 ) 1. 38 (1.0 0-1. 92) 15 Middle East & North Africa 2.16 (1.81 -2.58) 1. 62 (1. 35 -1.94 ) 2.6 4 (2.1 5-3. 25 ) 2.0 1 (1. 63 -2. 48) 1. 55 (1.1 6-2.0 7) 1.1 3 (0. 84-1. 52)

16 17 18 19 20 21 Legend: HR: Hazard Ratio; 95% CI: 95% confidence interval. Model 1 was adjusted for age-at-risk, sex and their interaction (where appropriate). Model 2 was additionally 22 adjusted for disposable income and population density. Likelihood ratio tests, on four degrees of freedom, confirmed statistical interaction between age-at-risk and sex on 2 2 23 the risk of non-affective psychotic disorder in Model 1 ( χ : 72.2; p<0.001) and Model 2 ( χ : 73.6; p<0.001). LRTs, on four degrees of freedom, also confirmed statistical 2 2 24 interaction between sex and region of origin on psychosis risk in Model 1 ( χ : 20.7; p<0.001) and Model 2 ( χ : 22.9; p<0.001). 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 https://mc.manuscriptcentral.com/bmj 47 48 49 50 51 52 53 54 55 56 57 58 59 60 Page 25 of 26 BMJ

1 2 3 4 5 SupplementaryConfidential: Table 3: Sensitivity analysis of psychosis risk by exposure For status, excluding Review refugee and other migrants Only who were diagnosed with a non- 6 affective psychotic disorder within 12 months of arrival in Sweden 7 8 All Men Women 9 Category N (excluded N, Model 1 Model 2 Model 1 Model 2 Model 1 Model 2 10 11 %) 12 HR (95% CI) HR (95% CI) HR (95% CI) HR (95% CI) HR (95% CI) HR (95% CI) 13 Refugee status Swedish -born 3 232 (0, 0 .0) 1 1 1 1 1 1 14 Non -refugee 288 (91, 24 .0) 2.0 8 (1.79 -2.41) 1. 57 (1. 34 -1. 83 ) 2.32 (1.94-2.77 ) 1.75 (1 .46 -2.1 1) 1.81 (1 .47-2.24 ) 1. 35 (1.09 -1.67 ) 15 Refugee 63 (30, 32 .2) 3.1 0 (2. 38 -4.0 5) 2.4 4 (1. 87-3.19 ) 3.74 (2 .73-5.12) 2.98 (2.18 -4. 08 ) 2.21 (1 .38-3.54 ) 1.69 (1.05-2.71) 16 17 Non -refugee 288 (91, 24 .0) 1 1 1 1 1 1 18 Refugee 63 (30, 32 .2) 1. 49 (1.1 4-1.9 6) 1. 56 (1.1 9-2.05 ) 1.61 (1.16 -2.24) 1. 70 (1. 22 -2. 36 ) 1.2 2 (0.7 4-2.00 ) 1. 25 (0. 76 -2.06 ) 19

20 21 Region of origin Sweden 3 232 (0, 0 .0) 1 1 1 1 1 1 22 Sub -Saharan 104 (38, 26 .8) 4.7 9 (3.8 7-5.9 5) 3. 67 (2.95 -4. 56 ) 6.10 (4 .72 -7.87 ) 4. 69 (3. 62 -6. 06 ) 3.32 (2 .34 -4.72 ) 2.5 1 (1.76-3. 58 ) 23 Africa 24 Asia 59 (22, 27 .2) 1.8 3 (1.39 -2.4 3) 1. 39 (1.0 5-1. 84 ) 1.71 (1 .18 -2.48 ) 1.29 (0 .88 -1.88 ) 2.00 (1 .36 -2.95) 1.51 (1.02-2. 23) 25 Eastern Europe 67 (20, 23 .0) 1.6 3 (1.2 6-2.1 1) 1. 30 (1.0 0-1. 69 ) 1.73 (1 .24-2.42) 1.39 (1.0 0-1.95 ) 1.51 (1.03 -2.20 ) 1.18 (0 .81-1.74 ) 26 Middle East & 85 (41, 32 .5) 1.89 (1.55 -2.30) 1. 38 (1.1 3-1. 69 ) 2.21 (1 .74-2.81) 1.64 (1. 29 -2. 09) 1.47 (1 .07-2.02 ) 1.0 5 (0 .76 -1.45) 27 North Africa 28 Legend: HR: Hazard Ratio; 95% CI: 95% confidence interval. Model 1 was adjusted for age-at-risk, sex and their interaction (where appropriate). Model 2 was additionally 29 adjusted for disposable income and population density. LRT χ2 p-values, on two degrees of freedom, for interaction between sex and refugee status, were χ2: 7.2; p=0.03 30 2 2 2 31 (Model 1) and χ : 8.4; p=0.02 (Model 2) and, on four degrees of freedom, between sex and region of origin, were χ : 13.5; p=0.01 (Model 1) and χ : 14.9; p=0.005 (Model 32 2). 33 34 35 36 37 38 39 40 41 42 43 44 45 46 https://mc.manuscriptcentral.com/bmj 47 48 49 50 51 52 53 54 55 56 57 58 59 60 BMJ Page 26 of 26

1 2 3 Supplemental Table 4: Sensitivity analysis of risk of non-affective psychoses in refugees relative to 4 non-refugees for men by region of origin, excluding immigrants who were diagnosed within 12 5 months of arrival in Sweden 6 7 8 Confidential: All ( Model 2)For MenReview ( Model 2 ) Only 9 Refugee vs non -refugee HR ( 95% CI) HR ( 95% CI) 10 Sub -Saharan Africa 0.93 (0 .5 5-1.5 9) 0.9 1 (0 .46-1.8 2) 11 Asia 1.8 7 (0.96 -3. 63 ) 2.53 (1.1 2-5.7 1) 12 13 Eastern Europe 1.69 (0 .73 -3.9 3) 2.46 (0 .96-6.3 3) 14 Middle East & North Africa 1.58 (1 .04-2.41 ) 1.73 (1 .06-2.8 5) 15 16 17 Legend: HR: Hazard Ratio; 95% CI: 95% confidence interval. All models were conducted on a restricted cohort, 18 excluding the Swedish-born population and refugee or migrant cases presenting within 12 months of arrival in 19 Sweden. Baseline groups are non-refugees from each country of origin. For all people, Model 2 was adjusted 20 for age-at-risk, sex, their interaction, disposable income and population density. For men, it was adjusted for 21 2 22 age-at-risk, disposable income and population density. LRT χ p-values, on three degrees of freedom, for 2 2 23 interaction between refugee status and region of origin, were χ : 3.7; p=0.29 (all people) and χ : 4.9; p=0.18 24 (men). Given the small sample size for women, no attempt to analyse whether hazard ratios by refugee status 25 differed by region of origin. 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 https://mc.manuscriptcentral.com/bmj