==== Front BMC Public Health BMC Public Health BMC Public Health 1471-2458 BioMed Central London 15793 10.1186/s12889-023-15793-7 Research Article Common mental disorders in Peruvian immigrant in Chile: a comparison with the host population http://orcid.org/0000-0001-9948-388X Errazuriz Antonia anerrazuriz@uc.cl 1 http://orcid.org/0000-0002-8755-7906 Schmidt Kristin krisschmidt@udec.cl 2 Valenzuela Paulina pauvalen@gmail.com 3 Pino Rodolfo rapino@uc.cl 3 http://orcid.org/0000-0002-0387-880X Jones Peter B. pbj21@cam.ac.uk 45 1 grid.7870.8 0000 0001 2157 0406 Department of Psychiatry, School of Medicine, Pontificia Universidad Catolica de Chile, Diagonal Paraguay 362, Santiago, 8330077 Chile 2 grid.5380.e 0000 0001 2298 9663 Department of Psychiatry and Mental Health, University of Concepción, Concepción, Chile 3 Santiago, Chile 4 grid.5335.0 0000000121885934 Department of Psychiatry, University of Cambridge, Cambridge, UK 5 NIHR Applied Research Collaboration East of England, Cambridge, UK 30 6 2023 30 6 2023 2023 23 127416 6 2022 25 4 2023 © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/ Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. 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Background The Inner Santiago Health Study (ISHS) aimed to (i) estimate the prevalence of common mental disorders (CMD; i.e. depressive and anxiety disorders) among immigrants of Peruvian origin in Chile; (ii) determine whether such immigrants are at higher risk of CMD when compared with the native-born geographically matched population (i.e. non-immigrants); and (iii) identify factors associated with higher risk of any CMD among this immigrant group. A secondary aim was to describe access to mental health services by Peruvian immigrants meeting criteria for any CMD. Methods Findings are based on a population-based cross-sectional household mental health survey of 608 immigrant and 656 non-immigrant adults (18-64 years) residing in Santiago de Chile. Diagnoses of ICD-10 depressive and anxiety disorders and of any CMD were obtained using the Revised Clinical Interview Schedule. The relationships between demographic, economic, psychosocial, and migration-specific predictor variables, and risk of any CMD were analyzed with a series of stepwise multivariate logistic regression models. Results The one-week prevalence of any CMD was 29.1% (95% CI: 25.2-33.1) among immigrants and 34.7% (95% CI: 30.7-38.7) among non-immigrants. Depending on the statistical model used in the pooled sample, we found the prevalence of any CMD among non-immigrants to be higher (OR=1.53; 95% CI: 1.05-2.25) or similar (OR=1.34; 95% CI: 0.94-19.2) when compared with immigrants. In the multivariate stepwise regression of any CMD in immigrants only, the prevalence was higher for females, those with primary compared to higher education, in debt and exposed to discrimination. Conversely, higher levels of functional social support, sense of comprehensibility, and manageability were associated with a lower risk of any CMD in immigrants. In addition, no differences were observed between immigrants and non-immigrants reporting any CMD in mental health service utilization. Conclusion Our results evidence high levels of current CMD in this immigrant group, particularly amongst women. However, lower adjusted prevalence of any CMD in immigrants compared to non-immigrants was limited to preliminary statistical models, thus failing to provide clear support for a “healthy immigrant effect”. The study sheds new light on differences in CMD prevalence by immigrant status in Latin America by examining differential exposure to risk factors in immigrant versus non-immigrant groups. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-023-15793-7. Keywords Common mental disorders Depression Anxiety Immigrant mental health Healthy immigrant effect http://dx.doi.org/10.13039/501100009163 Centre of Latin American Studies, University of Cambridge http://dx.doi.org/10.13039/501100002848 Comisión Nacional de Investigación Científica y Tecnológica issue-copyright-statement© BioMed Central Ltd., part of Springer Nature 2023 ==== Body pmcBackground Despite a large body of research, the effects of migration on mental health remain unclear. Some studies report a “healthy immigrant effect” [1], referring to findings of better physical and mental health in international immigrants compared with non-immigrants in the host country [2] and with those who stay behind in their country of origin [3]. For depressive and anxiety disorders (i.e. common mental disorders; CMD), lower prevalence has been observed among immigrants compared with non-immigrants in Northern American [4], and European [5–7] contexts, as well as in New Zealand [8]. Collectively, immigrants experiencing better mental health despite often being exposed to a number of risk factors has been labelled a health paradox [9]. Nevertheless, in some cases the migration experience and associated stressors appear to have a negative impact on mental health [10, 11]. For example, higher prevalence of CMD is reported among Mexican immigrants in the US versus non-immigrants in Mexico [12–14]. Moreover, and in contrast to CMD, much evidence suggests that the migrant experience is associated with increased risk of lower-prevalence, psychotic disorders [15]. A potential explanation for findings of better mental health in immigrants despite their exposure to risk factors lies in the health and psychological profiles of those choosing to migrate: individuals who choose to migrate have been shown to have better pre-migration mental health [16], healthier lifestyles and lower rates of chronic illness [17], and may therefore also be more competitive in selection processes inherent to migration [18, 19]. On the other hand, evidence suggests risk factors for poorer mental health in immigrants include barriers to successful integration in the host country, problems accessing health services [20], lower experience of social support and exposure to discrimination [21], and employment in higher-risk occupations [22]. Results further appear to differ by specific immigrant groups [6, 18] immigrants’ age at migration [23], and strata such as generational status [9, 12] (eTables 1 and 2) and sex [19, 24]. Finally, macro- and microeconomic factors play a role, with economic instability in the host country [25] and income poverty [26] are linked to higher prevalence of depression among immigrants, while better economic conditions in the host country (measured using Gross National Product) are systematically associated with lower prevalence [27]. Finally, lower prevalence of both depressive and anxiety disorders has also been observed for immigrants from high-income countries (HICs) compared with those from low-and middle-income countries (LMICs) [18, 19]. Given that research stems almost exclusively from HICs, and the associated lack of evidence from upper- and lower-middle-income countries (UMIC and LMIC, respectively [24]), it is difficult to assess the generalizability of the findings on the relation between risk vs. protective factors and CMD among immigrants. One region with extremely scarce data is Latin America, which has recently seen an unprecedented growth in predominantly intra-continental migration [28] from LMICs to host countries with better economic conditions. These countries often share an official language and many cultural elements, in stark contrast to many of the migration contexts described in the literature pertaining to HICs described above. The available regional research suggests that immigrants who migrate during childhood or adolescence have higher estimates of depressive mood and disorder compared with those migrating later in life [29–31]. Perceived discrimination has also been reported as a risk factor, with higher levels associated with more symptoms of anxiety and depression among Haitian immigrants in Brazil [32], and with more mental health problems in Venezuelan refugees and immigrants in Peru [33]. One of the Latin American countries increasingly receiving economic immigrants is Chile, which has been defined as a HIC since 2013 but was previously (and including at the time of this study’s fieldwork) classed as an UMIC. In 2017, Chile had an estimated number of 700,000 immigrants, representing 4.4% of the total population [34]. A large majority of these arrived within the previous 10 years, and over 85% of them originate from Latin America, with Peruvians forming the largest group (25.2% of all immigrants [34]). The little available data suggests prevalence estimates of CMD to be similar in the general populations of Chile [35, 36] and Peru [37]. However, Peru (classed as an UMIC) presents higher morbidity indicators, and lower levels of health resources, access, and coverage compared with Chile [38]. Given the dearth of data, the need for evidence on mental health status and service use among recent migrants to Chile is pressing. In a singular comparative study in primary care, Peruvian immigrants show lower prevalence of CMD compared with Chilean non-immigrants [39], despite more recent evidence identifying barriers in access to healthcare across immigrant groups [40]. Finally, and consistent with the international literature, perceived discrimination is associated with increased mental health problems and symptoms of depression/anxiety among economic immigrants of Peruvian and Colombian origin in Chile [41, 42]. To further address the lack of mental health data associated with Latin American migration, we report findings from a population-based cross-sectional household mental health survey conducted in adult residents of two inner-city districts of the Santiago Metropolitan Region (Región Metropolitana; RM). This study (the Inner Santiago Health Study; ISHS) aimed to: (i) estimate the prevalence of CMD (i.e. depression and anxiety disorders) among Peruvian immigrants (who form the largest immigrant group by nationality in Chile) (i.e. immigrants); (ii) determine whether immigrants are at higher risk of CMD when compared with the native-born geographically matched population (i.e. non-immigrants); and (iii) identify demographic, economic, psychosocial, and migration-specific factors associated with higher risk of CMD among immigrants. A secondary aim was to describe access to mental health services by Peruvian immigrants who met criteria for any CMD . Methods Design and sample This study is a population-based cross-sectional household mental health survey of first-generation adult Peruvian immigrants (18-64 years) and geographically matched Chilean non-immigrants. It was approved by the University of Cambridge Psychology Research Ethics Committee (UK; No. 2010.70) and the Ethics Committee of the Metropolitan Northern Health Area of Santiago RM (Chile). At the time of data collection in 2011, the two selected inner city districts of Santiago RM, Recoleta and central Santiago, reported the first and third greatest number of Peruvian-born immigrants in Chile [43], representing 2.6% of the area’s adult population. They were chosen to control for between-groups socioeconomic differences. Full details of the study design, sampling procedures and data collection are reported elsewhere [44]. Following a pilot study and training of experienced interviewers, questionnaires were administered in face-to-face interviews. Per district, the sampling framework of the Chilean National Institute of Statistics was used, with (1) primary sampling units (PSUs): clusters of 200 households on average; (2) secondary sampling units (SSUs): individual households within each cluster, and (3) final sampling units: eligible household members (eFigure 1). Multi-stage random probability sampling was used, comparable to that of other household survey designs conducted in developing countries [45]. To be eligible, participants had to (1) be a community-residing adult (18-64 years), (2) be able to read and write, and (3) have been born in Peru (immigrants) or Chile (non-immigrants). Participants were excluded if they reported (1) a disability or condition that made participation difficult; (2) political refugee status, or (3) having lived 12 or more months outside of Chile (non-immigrants only). The overall response rate was 61.1% (eFigure 2). Measures Psychiatric morbidity outcomes The Chilean version of the Revised Clinical Interview Schedule (CIS-R) [46], a lay-interviewer structured clinical interview, was used to asses psychiatric morbidity. The CIS-R has generally shown high specificity but moderate sensitivity [47], and has been extensively used in community studies with good reliability and validity in the Chilean population [36]. It monitors the presence of 14 symptoms during the past 7 days (psychosomatic symptoms, fatigue, concentration/forgetfulness, sleep problems, irritability, worry about physical health, depressive mood, depressive ideas, general worry, free-floating anxiety, phobias, panic, compulsions, and obsessions). Based on these, the application of an algorithm enables the diagnosis of seven CMD according to ICD-10 research diagnostic criteria [48]: depressive episode (f32.00, f32.01, f32.1, f32.11 or f32.2), panic disorder (f41.0), generalized anxiety disorder (GAD) (f41.1), obsessive–compulsive disorder (OCD) (f42.0), agoraphobia (f40.00, f40.01), social phobia (40.1), and specific phobia (f40.2). For this study, agoraphobia, social phobia, and specific phobia were grouped into any phobia and panic disorder, GAD, OCD, and any phobia were grouped into the diagnostic category any anxiety disorder. Non-specific psychiatric morbidity was identified using a cut-off of 12 or more points on the CIS-R for individuals that failed to meet any of the specific ICD-10 diagnoses above. This category approximately corresponds to the ICD-10 criterion of mixed anxiety and depressive disorder (MADD) (f41.2). Finally, cases of any CMD were defined as meeting criteria for ICD-10 any anxiety disorder, depressive episode, or MADD and the total CIS-R score was considered indicative of severity of symptoms. Participants were also asked if they had visited a mental health professional (psychiatrist, non-psychiatrist specialist, general practitioner, psychologist, and other health professionals) during the last 3 months for emotional or mental health reasons. Demographic, economic, and psychosocial factors Participants’ sex, age, district of residence, number of children aged 18 or under, highest educational level (primary: 8 years or less; secondary: 9 to 12 years; or higher: > 12 years), employment status (unemployed or economically inactive versus employed), personal/breadwinner´s occupation (manual or non-manual), per capita income (in Chilean pesos), and current debt status (with or without) were recorded. Formal employment (with or without contract) was measured among employed participants not reporting self-employment. Exposure to community violence was assessed based on a positive response to the participant or a household member having been a victim of burglary within the last 12 months using items from the Chilean National Security Survey [49]. Furthermore, participants completed three self-report questionnaires: 1) the 8-item Spanish version [50] of the Duke-UNC Functional Social Support Questionnaire (FSSQ) [51]; 2) four items relating to the trust and cohesion aspects from the Peruvian version of the Short Adapted Social Capital Assessment Tool (SASCAT) [52]; and 3) the 13-item Spanish version of the Orientation to Life Questionnaire (OLQ-13) [53], assessing three sense of coherence sub-factors: comprehensibility (the perception of events as making logical sense), manageability (the feeling of being able to cope), and meaningfulness (the feeling of life making sense and challenges being worthy of commitment). Higher scores on these measures indicate a stronger sense of each concept. Migration-specific variables Participants were classed as immigrants if born in Peru and non-immigrants if born in Chile. Immigrants were asked about their legal migration status (nationalized or legal resident, applying for residency, non-resident not processing visa) and length of stay in Chile (short: 0-4, medium: 5-9, or long: 10+ years). Age at immigration was calculated according to arrival during childhood (age 12 or under), adolescence (ages 13 to 19), or adulthood (age 20 or older), based on cut-offs from US studies [54]. Immigrants also reported their previous employment status in Peru (employed versus unemployed/inactive) immediately before migrating to Chile. Self-evaluated mismatch between expectations and achievements following migration (not at all/poorly satisfied or partially/perfectly achieved) in five domains (work, income, health family and friends) was assessed using items from the Bologna Migration History and Social Integration Interview [55]. Discrimination was assessed using three questions translated and adapted from the EMPIRIC study [56]: (i) “Have you ever been refused a job for reasons which you think were to do with your nationality?” (ii) “Have you ever been treated unfairly at work with regards to a promotion or move to a better position for reasons which you think were to do with your nationality?” (iii) “In the last twelve months, has anyone insulted you for reasons to do with your nationality?” An additive score of the positive responses to the three items was calculated. Statistical analysis Analyses were performed in R (version 4.0.2). Based on non-normal distributions for all continuous variables in the immigrant and non-immigrant samples (as assessed with the Lilliefors (Kolmogorov-Smirnov) test), descriptive statistics were calculated as percentages, medians, and interquartile ranges (IQR). Between-group differences in categorical variables were calculated using chi-square tests, differences of proportions in each level using two-proportion z-tests with Yates correction, and differences in continuous variable using Wilcoxon rank sum tests. Data were weighted to account for the age and sex distribution of the Peruvian and Chilean-born populations residing in the catchment area using the Chilean 2002 Census data (eTable 3). Overall and sex-stratified weighted prevalence estimates for psychiatric morbidity and weighted percentages of mental health service use (both with 95% confidence intervals) were calculated separately for immigrants and non-immigrants. Group differences between immigrants and non-immigrants on outcome variables of psychiatric morbidity and mental health service utilization were analyzed using multivariate logistic regression models with logit link, adjusting for age and sex. In the immigrant group and in the pooled sample, independent associations between each predictor and risk of any CMD were analyzed with odds ratios and 95% confidence intervals based on univariate logistic regression analysis with logit link. The relationships between predictor variables and risk of any CMD were analyzed with a series of multivariate logistic regression models in the immigrant and pooled samples. Stepwise (backward and forward) methodology was used to select the multivariate regression model that best predicted the risk of any CMD. Model selection was based on two quality criteria: i) the lowest Akaike information criterion (AIC), and ii) the highest area under the ROC curve value (calculated by splitting the sample 80/20 into train and test subsamples). All evaluations of statistical significance are based on two-sided tests using the 5% level of significance. Results Sample characteristics To identify private households with at least one person aged 18 to 64 born in Chile or Peru, a total of 2,573 SSUs were visited. The final sample of 1,264 adults successfully interviewed consisted of 608 Peruvian-born immigrants and 656 Chilean non-immigrants. Table 1 presents characteristics of the sample. Compared with non-immigrants, immigrants were younger, more likely to have three or more children, less likely to have attained primary or higher education and more likely to have completed secondary education. Participants classed as immigrants, particularly men, were more likely to be employed than non-immigrants (94% of immigrant vs 75.9% of non-immigrant men; 66.7% of immigrant vs 59.1% of non-immigrant women). Immigrants in the present study were also more likely than non-immigrants to be performing manual occupations at the time of the survey and while they reported lower levels of per capita income, they were also less likely to currently hold debt. Immigrants and non-immigrants did not differ in level of formal employment, exposure to community violence, perceived functional social support or cognitive social capital. On the sub-factors of their sense of coherence, immigrants and non-immigrants reported similar levels of comprehensibility and manageability, while immigrants reported higher levels for meaningfulness. Of the Peruvian-born participants, 79.9% had arrived in Chile as adults (aged 20+ years), 68.6% had resided in the country for at least 5 years, 96.5% were legal residents or processing/renewing their visa, and 76.9% reported being employed in Peru before migration. Most immigrants considered that their expectations about work (84.7%), income (85.7%), family (83.9%), health (88.0%) and friend (83.1%) were partially or perfectly achieved (eTable 5) and 50.2% reported at least one event of discrimination in the last year.Table 1 Sample characteristics and differences by immigrant status Immigrants (n=608) Non-immigrants (n=656) n (%) or Median (IQR) n (%) or Median (IQR) Demographic   Sex      Male 275 (45.2) 288 (43.9)      Female 333 (54.8) 368 (56.1) Age (years) 34.0 (28.0 to 41.0) 41.0 (28.0 to 53.0) District     Recoleta 266 (43.8) 318 (48.5)     Santiago 342 (56.2) 338 (51.5) Number of children     < 3 547 (90.0) 614 (93.6)     3 or + 61 (10.0) 42 (6.4) Economic   Education level     Primary 53 (8.7) 120 (18.3)     Secondary 398 (65.5) 329 (50.2)     Higher 157 (25.8) 207 (31.6)   Currently employed, yes 481 (79.6) 432 (66.1)   Formal employment, yes 279 (66.0) 208 (62.5)   Manual occupation, yes 445 (73.9) 260 (42.6)   Per capita income (CLP) 116,667 (75,000-173,333) 125,000 (75,625-206,667)   Active debt, yes 186 (30.6) 356 (54.4) Psychosocial   Experience of community violence, yes 206 (33.9) 234 (35.8)   Functional social support (Duke-UNC)a 34.0 (28.0 to 39.0) 35.0 (27.0 to 39.0)   Cognitive social capital (0-4) (SASCAT)b 3.0 (1.0 to 4.0) 3.0 (1.0 to 4.0)   Sense of coherence (OLQ-13)c     Comprehensibility 24.5 (20.0 to 29.0) 24.0 (19.0 to 28.0)     Manageability 18.0 (16.0 to 22.0) 18.0 (15.0 to 22.0)     Meaningfulness 22.0 (18.0 to 25.0) 21.0 (18.0 to 24.0) Migration characteristics†   Legal status     Non-resident and not applying 21 (3.5) Applying for residency 40 (6.6)     Legal resident/Nationalized 544 (89.9) Age at migration     Child (0-12 years) 25 (4.1)     Adolescent (13-19 years) 97 (16.0)     Adult (20+ years) 486 (79.9) Length of stay     Short (0-4 years) 191 (31.4)     Medium (5-9 years) 200 (32.9)     Long (10+ years) 217 (35.7) Employed before migration, yes 464 (76.9) Experience of discrimination (last 12 months), yes 302 (50.2) aDuke-UNC Functional Social Support Questionnaire (Duke-UNC); b Short Adapted Social Capital Assessment Tool (SASCAT); c Orientation to Life Questionnaire (OLQ-13) a-cHigher scores indicate higher experience of indicated constructs †Only assessed in the immigrant group Prevalence of psychiatric symptoms, CMD and mental health service use The CIS-R showed good internal consistency (α ≥ 0.8; eTable 4), similar to the 0.88 reported in the original Chilean reliability study [46]. The one-week prevalence estimates for psychiatric symptoms are presented in Table 2. In both groups, the most reported symptoms were general worry, fatigue, and irritability. Comparing immigrants versus non-immigrants, no significant differences were observed in the overall prevalence of psychosomatic symptoms, depressive mood, depressive ideas, general worry, phobias, panic, compulsions, or obsessions after adjusting for age and sex (all p>0.05). However, immigrants were less likely to report symptoms of fatigue, concentration/memory problems (p<0.001), sleep problems (p<0.001), irritability (p<0.001) and free-floating anxiety (p=0.010), and more likely to report worries about physical health (p=0.002) than Chilean-born participants.Table 2 Estimated one-week percentage prevalence of CIS-R symptoms by immigrant status Symptom Immigrants (n=608) Non-immigrants (n=656) n Prevalence % (95% CI) n Prevalence % (95% CI) OR (95% CI) † p value Psychosomatic 132 22.3 (18.9-25.7) 179 25.2 (21.8-28.6) 1.25 (0.95-1.65) 0.115 Fatigue 196 34.2 (30.2-38.1) 277 41.6 (37.6-45.6) 1.47 (1.15-1.89) 0.002 Concentration/forgetfulness 79 13.8 (11.0-16.7) 138 20.5 (17.3-23.7) 1.80 (1.31-2.48) <0.001 Sleep problems 102 17.3 (14.2-20.4) 201 29.9 (26.2-33.5) 2.05 (1.54-2.73) <0.001 Irritability 138 24.8 (21.2-28.4) 210 32.4 (28.6-36.1) 1.73 (1.32-2.26) <0.001 Worry about physical health 40 6.8 (4.8-8.9) 17 2.7 (1.4-4.1) 0.39 (0.21-0.69) 0.002 Depressive mood 93 16.9 (13.7-20.1) 134 20.4 (17.1-23.6) 1.31 (0.96-1.79) 0.087 Depressive ideas 102 18.7 (15.4-22.0) 142 21.9 (18.5-25.2) 1.32 (0.98-1.79) 0.072 General worry 230 39.5 (35.5-43.5) 286 43.1 (39.1-47.0) 1.26 (0.99-1.60) 0.059 Free-floating anxiety 87 15.3 (12.3-18.3) 134 21 (17.7-24.3) 1.51 (1.10-2.07) 0.01 Phobias 39 7.3 (5.1-9.6) 52 7.6 (5.5-9.6) 1.30 (0.83-2.05) 0.257 Panic 35 6 (4.1-8.0) 36 4.9 (3.2-6.5) 0.90 (0.54-1.51) 0.697 Compulsions 74 12.7 (9.9-15.4) 103 15 (12.2-17.8) 1.35 (0.96-1.90) 0.084 Obsessions 48 8.1 (5.9-10.4) 77 11.3 (8.8-13.9) 1.48 (0.99-2.21) 0.055 Frequencies unweighted, percentages and 95% Confidence Intervals (CI) weighted for age and sex † Adjusted for age and sex (ref: immigrants) Abbreviation: CIS-R Clinical Interview Schedule-Revised One-week prevalence estimates for specific CMD are presented in Table 3. In both groups, the most common disorder was mixed anxiety and depressive disorder (MADD) with 20% (95% CI: 16.6-23.4) of non-immigrants and 16.8% (95% CI: 13.5-20.0) of immigrants meeting its criteria. This was followed by depressive episode with a prevalence of 6.2% (95% CI: 4.1-8.3) among immigrants and 7.0% (95% CI: 4.9-9.1) among non-immigrants. Specific anxiety disorders (phobias, generalized anxiety disorder (GAD), obsessive compulsive disorder (OCD), and panic disorder) had the lowest prevalence estimates; 2.4% (95% CI: 1.1-3.7), 2.1% (95% CI: 0.8-3.3), 3.7% (95% CI: 2.1-5.3) and 2.8% (95% CI: 1.4-4.1) in immigrants and 3.7% (95% CI: 2.2-5.1), 3.6% (95% CI: 2.1-5.6), 4.2% (95% CI: 2.6-5.8), and 1.2% (95% CI: 0.4-1.9) in non-immigrants respectively. The estimated weighted prevalence of any CMD, defined as meeting criteria for any of the specific ICD-10 diagnoses, was 29.1% (95% CI: 25.2-33.1) among immigrants and 34.7% (95% CI: 30.7-38.7) among non-immigrants (see Table 3). For any ICD-10 anxiety disorder, 10.0% (95% CI: 7.6-12.4) of non-immigrants and 8.6% (95% CI: 6.2-11.0) of immigrants met criteria. After adjusting for age and sex, immigrants were less likely than non-immigrants to meet criteria for any CMD (OR=1.47; 95% CI: 1.12-1.93; p=0.006) and immigrants were more likely to meet criteria for panic disorder (OR=0.39; 95% CI: 0.15-0.90; p=0.033). However, no between-group differences were observed in the prevalence of depressive episode, phobias, GAD, OCD, any anxiety disorder, or MADD (all p>0.05).Table 3 Estimated one-week prevalence of CIS-R Common Mental Disorders (ICD-10) by sex and immigrant status Immigrants (n=608) Non-immigrants (n=656) n Prevalence % (95% CI) n Prevalence % (95% CI) OR(95% CI)† p value Women   Depressive episodea 29 9.5 (6.2-12.8) 36 10.2 (6.9-13.6) 1.15 (0.67-1.99) 0.614     Any phobiab 11 3.3 (1.4-5.2) 20 5.5 (3.0-7.9) 1.77 (0.82-3.98) 0.153     Generalized anxiety disorder 9 2.8 (1.0-4.6) 17 4.9 (2.5-7.3) 1.81 (0.79-4.43) 0.172     Obsessive compulsive disorder 16 4.7 (2.5-7.0) 22 5.4 (3.0-7.7) 1.23 (0.61-2.53) 0.558     Panic disorder 13 3.6 (1.6-5.6) 7 1.8 (0.4-3.2) 0.38 (0.13-0.99) 0.054   Any anxiety disorderc 37 11.4 (7.9-14.9) 50 14.0 (10.2-17.8) 1.23 (0.76-1.98) 0.403   Mixed anxiety and depressive disorderd 64 21.7 (16.9-26.5) 77 23.2 (18.5-28.0) 1.06 (0.72-1.58) 0.769   Any CMDe 117 38.6 (33.1-44.2) 150 44.8 (39.2-50.4) 1.28 (0.92-1.78) 0.144 Men   Depressive episode 2 0.8 (0.0-1.9) 9 3.6 (1.2-6.0) 4.78 (1.15-32.46) 0.053     Any phobia 3 1.0 (0.0-2.2) 6 1.8 (0.4-3.3) 1.52 (0.36-7.74) 0.575     Generalized anxiety disorder 2 0.9 (0.0-2.2) 6 2.4 (0.5-4.3) 3.31 (0.72-23.21) 0.154     Obsessive compulsive disorder 5 2.0 (0.2-3.8) 8 3.1 (0.9-5.2) 1.66 (0.52-5.70) 0.397     Panic disorder 4 1.5 (0.0-3.0) 2 0.5 (0.0-1.3) 0.44 (0.05-2.57) 0.379   Any anxiety disorder 11 4.3 (1.8-6.9) 16 5.9 (3.0-8.7) 1.44 (0.63-3.36) 0.391   Mixed anxiety and depressive disorder 22 9.0 (5.4-12.7) 41 16.6 (11.8-21.4) 1.92 (1.08-3.47) 0.028   Any CMD 34 14.0 (9.6-18.5) 61 24.2 (18.8-29.7) 1.98 (1.22-3.24) 0.006 All   Depressive episode 31 6.2 (4.1-8.3) 45 7.0 (4.9-9.1) 1.39 (0.85-2.32) 0.196     Any phobia 14 2.4 (1.1-3.7) 26 3.7 (2.2-5.1) 1.72 (0.87-3.50) 0.125     Generalized anxiety disorder 11 2.1 (0.8-3.3) 23 3.6 (2.1-5.2) 2.09 (1.00-4.60) 0.055     Obsessive compulsive disorder 21 3.7 (2.1-5.3) 30 4.2 (2.6-5.8) 1.36 (0.75-2.51) 0.316     Panic disorder 17 2.8 (1.4-4.1) 9 1.2 (0.4-1.9) 0.39 (0.15-0.90) 0.033   Any anxiety disorder 48 8.6 (6.2-11.0) 66 10.0 (7.6-12.4) 1.28 (0.85-1.94) 0.246   Mixed anxiety and depressive disorder 86 16.8 (13.5-20.0) 118 20.0 (16.6-23.4) 1.28 (0.93-1.77) 0.133   Any CMD 151 29.1 (25.2-33.1) 211 34.7 (30.7-38.7) 1.47 (1.12-1.93) 0.006 a Includes any depressive episode in ICD-10 (f32.00, f32.01, f32.1, f32.11 or f32.2) b Includes social (f40.1), specific (f40.2) and agoraphobia (f40.0) c Includes ICD-10 generalized anxiety disorder (f41.1), obsessive–compulsive disorder (f42.0), panic disorders (f41.0), any phobia (f40.00, f40.01, f40.1, f40.2) d Corresponds to ICD-10 f41.2 and is defined as a total CIS-R score greater or equal to 12 but not meeting criteria for any specific anxiety disorder (c) or depressive episode (a) e Includes ICD-10 depressive episode (as in a), any ICD-10 anxiety disorder (as in c) and ICD-10 mixed anxiety and depressive disorder (as in d) Frequencies unweighted, percentages and 95% CI weighted for age and sex using 2002 Chilean Population Census † Adjusted for age and sex (ref: immigrants) Abbreviations: CMD Common Mental Disorder, CIS-R Clinical Interview Schedule-Revised The prevalence estimates of any CMD in immigrants and non-immigrants described separately for women and men can be found in Table 3. Across both sexes, the most common disorder was MADD. No differences were observed between immigrant and non-immigrant women across any of the studied CMD after adjusting for age (all p>0.05). Among men, immigrants were less likely to meet criteria for any CMD (p=0.006) and MDD (p=0.028) than non-immigrants after adjusting for age. No differences were observed between immigrant and non-immigrant men in the adjusted prevalence of depressive episode, phobias, GAD, OCD, or panic disorder (all p>0.05). Within-group sex differences across diagnostic categories are reported in eTable 6. Overall, immigrants were less likely than non-immigrant to have accessed mental health services in the last three months (n=37, 6.4% versus n=84, 11.2%, p<0.01). However, reported access was similar for immigrants (18.6%, 95% CI: 12.3-25.0) and non-immigrants (21.6%, 95% CI: 15.8-27.4) in those meeting criteria for any CMD (eTable 7). Finally, a positive association between severity of CIS-R symptoms and access was only observed among immigrants, but not among non-immigrants (eTable 8). Factors associated with any CMD The internal consistency levels were excellent for the FSSQ (α ≥ 0.9), acceptable for the OLQ-13 (α ≥ 0.7), and questionable for the SASCAT items (α > 0.6) (eTable 4). Logistic models of the univariate and multivariate associations between all demographic, economic and psychosocial factors, and the risk of any CMD in the pooled sample showed that immigrants had lower odds of any CMD compared with non-immigrants (see Table 4 for details). However, the association between immigrant status and any CMD was not significant in a stepwise multivariate model, which included fewer demographic, economic and psychosocial factors (OR=1.34; 95% CI: 0.94-1.92; p=0.101; Table 4). This stepwise model showed similar model evaluation criteria as the full multivariate model (full multivariate model: AIC = 862.9, AUC = 0.818; selective multivariate model: AIC = 945.7, AUC = 0.829).Table 4 Factors associated with any Common Mental Disorder among residents of Santiago and Recoleta (n=1,264) Univariate logistic regression Multivariate logistic regression All variables† Selected variables ‡ OR¥ (95% CI) p value OR (95% CI) p value OR (95% CI) p value Immigrant status (immigrant§ vs non-Immigrant) 1.48 (1.15-1.90) 0.002 1.53 (1.05-2.25) 0.028 1.34 (0.94-1.92) 0.101 Sex (male§ vs female) 3.15 (2.40-4.15) <0.001 2.93 (2.01-4.30) <0.001 3.07 (2.18-4.37) <0.001 Age (18-27§)   28-37 1.09 (0.77-1.56) 0.628 0.95 (0.58-1.57) 0.855 0.88 (0.56-1.40) 0.601   38-47 1.31 (0.90-1.92) 0.160 1.10 (0.63-1.92) 0.728 1.01 (0.61-1.67) 0.962   48+ 1.51 (1.06-2.16) 0.023 1.06 (0.63-1.78) 0.825 1.04 (0.64-1.67) 0.887 District (Recoleta§ vs Santiago) 1.30 (1.01-1.67) 0.041 1.55 (1.09-2.23) 0.028 1.57 (1.13-2.19) 0.008 Number of children (<3§ vs 3+) 2.04 (1.31-3.15) 0.001 1.29 (0.69-2.41) 0.426 Education level (higher 12+§)   Primary (=<8 yrs) 2.70 (1.80-4.06) <0.001 2.13 (1.18-3.86) 0.012 2.11 (1.21-3.68) 0.008   Secondary (9-12 yrs) 1.55 (1.15-2.10) 0.004 1.54 (1.02-2.32) 0.040 1.52 (1.04-2.23) 0.032 Employment status (employed§ vs unemployed/ economically inactive) 1.24 (0.94-1.64) 0.122 0.91 (0.60-1.37) 0.649 Per capita income 1.00 (1.00-1.00) 0.001 1.00 (1.00-1.00) 0. 709 Active debt (no§ vs yes) 2.14 (1.66-2.75) <0.001 1.92 (1.34-2.75) <0.001 1.93 (1.37-2.71) <0.001 Experience of community violence (no§ vs yes) 2.09 (1.62-2.71) <0.001 2.18 (1.53-3.13) <0.001 2.09 (1.50-2.92) <0.001 Functional social supportƒ 0.93 (0.91-0.94) <0.001 0.96 (0.93-0.98) 0.001 0.96 (0.94-0.98) <0.001 Cognitive social capitalƒ 0.79 (0.72-0.87) <0.001 0.98 (0.86-1.11) 0.709 Sense of coherence   Comprehensibilityƒ 0.86 (0.84-0.88) <0.001 0.91 (0.88-0.94) <0.001 0.90 (0.87-0.93) <0.001   Manageabilityƒ 0.81 (0.78-0.84) <0.001 0.90 (0.85-0.94) <0.001 0.89 (0.85-0.94) <0.001   Meaningfulnessƒ 0.86 (0.83-0.89) <0.001 0.97 (0.93-1.02) 0.237 § Reference category ¥ Unadjusted ƒ Higher scores indicate higher experience of indicated constructs † n=942; AIC=862.9, C-statistic = 0.849; H&L = Chi-sq(8) 5.70 (p=0681); AUC = 0.818 ‡ n=1,039; AIC=945.7; C-statistic = 0.842; H&L = Chi-sq(8) 6.02 (p=0.645); AUC = 0.829 Table 5 displays associations of demographic, economic, psychosocial and migration factors with the risk of any CMD in immigrants only. Univariate logistic regression analyses showed that among immigrants, prevalence of any CMD was significantly higher in females (p<0.001), residents of Santiago (p=0.028), participants with 3 or more children (p=0.030), those with only primary education (p=0.005 vs. higher education), unemployed or economically inactive (p=0.004), in debt (p<0.001), exposed to community violence (p<0.001). Those reporting lower levels of income (p<0.011), functional social support (p<0.001), cognitive social capital (p=0.024), and sense of coherence (subscales of comprehensibility, manageability, and meaningfulness, all p<0.001), as well as those unemployed or economically inactive in Peru (p<0.002) and exposure to discrimination (p<0.001) also showed higher risk of any CMD, while no association was found with age. Table 5 Factors associated with any Common Mental Disorder among immigrants (n=608) Univariate logistic regression Multivariate logistic regression All variables† Selected variables‡ OR¥ 95% CI p value OR 95% CI p value OR 95% CI p value Sex (male§ vs female) 3.98 (2.62-6.19) <0.001 2.98 (1.61-5.65) 0.001 3.69 (2.18-6.38) <0.001 Age (18-27§)   28-37 1.03 (0.63-1.69) 0.911 1.45 (0.60-3.58) 0.419 0.98 (0.51-1.87) 0.945   38-47 1.10 (0.64-1.89) 0.721 2.34 (0.79-7.11) 0.127 1.16 (0.57-2.37) 0.673   48+ 1.02 (0.53-1.92) 0.962 1.53 (0.44-5.34) 0.502 0.98 (0.41-2.29) 0.958 District (Recoleta§ vs Santiago) 1.54 (1.05-2.27) 0.028 1.64 (0.94-2.90) 0.084 1.58 (0.96-2.62) 0.074 Number of children (< 3§ vs 3+) 1.92 (1.05-3.44) 0.030 1.30 (0.50-3.27) 0.586 Education level (higher 12+§)   Primary (=< 8 yrs) 2.63 (1.33-5.20) 0.005 2.30 (0.84-6.30) 0.103 2.48 (1.01-6.14) 0.047   Secondary (9-12 yrs) 1.30 (0.83-2.07) 0.262 1.78 (0.94-3.44) 0.080 1.51 (0.85-2.72) 0.165 Employment status (employed§ vs unemployed/economically inactive) 1.90 (1.22-2.94) 0.004 1.69 (0.81-3.54) 0.167 Per capita income 1.00 (1.00-1.00) 0.011 1.00 (1.00-1.00) 0.998 Active debt (no§ vs yes) 2.19 (1.48-3.25) <0.001 1.96 (1.07-3.58) 0.028 2.02 (1.22-3.38) 0.007 Experience of community violence (no§ vs yes) 1.97 (1.34-2.91) <0.001 1.79 (1.00-3.24) 0.051 Functional social supportƒ 0.92 (0.90-0.94) <0.001 0.94 (0.91-0.97) <0.001 0.95 (0.92-0.98) 0.003 Cognitive social capitalƒ 0.84 (0.72-0.98) 0.024 1.12 (0.90-1.40) 0.303 Sense of coherence   Comprehensibilityƒ 0.87 (0.84-0.90) <0.001 0.90 (0.84-0.95) <0.001 0.89 (0.85-0.94) <0.001   Manageabilityƒ 0.82 (0.78-0.86) <0.001 0.90 (0.83-0.98) 0.015 0.92 (0.86-0.98) 0.018   Meaningfulnessƒ 0.87 (0.83-0.90) <0.001 0.98 (0.92-1.05) 0.628 Age at migration (as child/adolescent (0-12§)   Adolescent (13-19 years) 0.97 (0.37-2.79) 0.959 1.00 (0.24-4.45) 0.998   Adult (20+ years) 0.84 (0.35-2.23) 0.704 0.67 (0.14-3.42) 0.626 Length of stay (short§)   Medium 1.18 (0.73-1.92) 0.504 1.14 (0.55-2.40) 0.722   Long 1.47 (0.93-2.36) 0.105 1.13 (0.48-2.66) 0.784 Employment status in Peru (employed§ vs unemployed/economically inactive) 1.98 (1.29-3.01) 0.002 1.65 (0.81-3.36) 0.168 Events of discrimination (0§ vs 1+) 2.37 (1.61-3.51) <0.001 2.67 (1.49-4.89) 0.001 2.34 (1.42-3.93) 0.001 § Reference category ¥ Unadjusted ƒ Higher scores indicate higher experience of indicated constructs † n=446; AIC=404.3; C-statistic = 0.86; H&L = Chi-sq(8) 5.30 (p=0.725); AUC = 0.802 ‡ n=496; AIC=437.7; C-statistic = 0.843; H&L = Chi-sq(8) 6.56 (p=0.181); AUC = 0.810 The best-fitting multivariate stepwise model of any CMD in immigrants showed that the prevalence was significantly higher for females (OR=3.69; 95% CI: 2.18-6.38; p<0.001), those with primary compared with higher education (OR=2.48; 95% CI: 1.01-6.14; p=0.047), those with active debt (OR=2.02; 95% CI: 1.22-3.38; p=0.007), and those exposed to discrimination (OR=2.34; 95% CI: 1.42-3.93; p=0.001). Lower levels of functional social support (OR=0.95; 95% CI: 0.92-0.98; p=0.003), sense of comprehensibility (OR=0.89; 95% CI: 0.85-0.94; p<0.001), and manageability (OR=0.92; 95% CI: 0.86-0.98; p=0.018) were also associated with a higher risk of any CMD in immigrants (Table 5). Discussion To our knowledge, this is the first population-based study to investigate the prevalence of CMD among Peruvian immigrants residing in private households of Santiago RM, Chile. Overall, we found CMD, as measured with the CIS-R, to be highly prevalent among immigrants, particularly in women. In a multivariate model with all predictive variables included, the prevalence of any CMD was significantly lower in Peruvians than in geographically matched Chileans, but this healthy immigrant effect was not supported by a selective stepwise regression. Given the models’ similar predictive power, our findings on the association between immigrant status and CMD therefore remain inconclusive. On average, immigrants were younger, had higher education levels, more children, were less frequently in debt, and reported higher levels of meaningfulness than non-immigrants. They also reported low levels of mismatch between expectations and achievements across the domains of work, income, health, family, and friends. Although a larger proportion of immigrants were employed at the time of data collection, they were also more likely to work in manual occupations and reported lower per capita income. Similar levels of psychosocial vulnerability across immigrants and non-immigrants were found, based on exposure to informal employment, community violence, perceived social support, cognitive social capital, and sense of coherence. Key factors associated with higher risk of any CMD in immigrants were female sex, having only attained primary education, active debt, experience of community violence, perceived discrimination, and low functional social support, comprehensibility, and manageability. The results of our full multivariate model show lower prevalence of any CMD in immigrants, which is in line with literature on the healthy immigrant effect [2]. However, this evidence is weak given that the effect was specific to any CMD, without group differences in prevalence estimates for depressive episode, any anxiety disorder, or other diagnoses, and was not consistently found across both statistical models. Direct comparison with Chilean and regional prevalence of CMD is complicated by a scarcity of data, but one methodologically similar study in a sample of the general population of Santiago RM reported prevalence estimates of depressive episode, any anxiety disorder, and any CMD similar to those in our immigrant sample [36]. We found that only one in five Peruvian immigrants meeting criteria for any CMD accessed mental health care in the prior three months, suggesting a treatment gap between needs and professional support similar to the general population of other Latin American countries [57]. However, this gap did not differ in comparison with Chilean non-immigrants and was lower than previously reported in Chile [58]. The overall similar level of access to care among immigrant and non-immigrant participants with any CMD in this study may be interpreted in the light of the studied immigrant group’s characteristics, specifically, the high proportion of immigrants holding formal employment (ensuring access to the public National Healthcare System), the low level of perceived mismatch of expectations and achievements in the health domain (reflecting high satisfaction; eTable 5), and the previously mentioned large community of Peruvian immigrants, who face relatively low cultural and language barriers in the host country. However, immigrants with higher symptom severity did not access treatment more frequently, which indicates the need to develop a better understanding of the pathway to care and existing barriers among immigrants with CMD. Our data suggest that it is difficult to generalize CMD outcomes based on immigrant status alone, and that stronger predictors may be found across psychosocial and psychological domains. While immigrants have reported increased exposure to risk factors such as poverty [26], high-risk occupations [22], and discrimination [59], the current study sample show a relatively low-risk migrant profile, including recent arrival, migration during adulthood, low levels of perceived mismatch between expectations and achievements, and – more generally – the large size of the Peruvian community in Chile and cultural assimilation may have acted as potential protective factors. Exposure to stressors previously associated with negative mental health in immigrants, such as illegal status [59] and cultural/linguistic barriers [17] was minimal. Furthermore, our sample showed high job market participation, which may have also facilitated access to the health system, a line of reasoning that is supported by comparable treatment gaps in the immigrant and non-immigrant samples [60]. Levels of social vulnerability levels were also similar across the immigrant and non-immigrant samples, as assessed by exposure to community violence, social support, cognitive social capital, and comprehensibility and manageability. The one-week ICD-10 prevalence estimates of CMD among our immigrant sample were generally higher than those previously reported in the general population of Peru when comparing against one-month DSM-IV prevalence (using the Composite International Diagnostic Interview [CIDI]; World Mental Health Survey, WMHS [61]) and ICD-10 point prevalence (using the MINI International Neuropsychiatric Interview [MINI]; Peruvian Epidemiological Mental Health Studies [62–74]; eTable 9). When comparing our 1-week prevalence of depressive/any anxiety disorders with Latin American studies outside of Peru (eTable 10), we found estimates, specifically those for the female immigrant sample, to be higher than those in the general population of Mexico [75] but similar to 1-month ICD-10 prevalence in the general population of Brazil [76, 77], a country reporting comparatively high prevalence in the region [37]. In comparison with the general population of Colombia, female immigrants in our study reported a similar prevalence of depressive episode, while men reported a lower prevalence [78]. Across international epidemiological studies in the general population of both HICs [79–83] and LMICs [84, 85] using the same case definition and the CIS-R, the prevalence of CMD appears to be lower than observed in the present study (eTable 11). Our prevalence of any CMD also appears to be much higher than reported in a recent meta-analysis [86] of 12-month CMD across general populations which used a narrower definition of CMD not including MADD, defined in our study as cases scoring 12 or more but not meeting criteria for a specific ICD-10 diagnoses. Finally, based on meta-analytic findings that control for methodological factors or perform subgroup analysis for studies using interview-based assessment method, the point prevalence of depressive and anxiety disorders across general populations globally appears similar to our estimates for immigrants in the present study [87, 88]. Notably among immigrants, prevalence estimates for CMD for males were much lower than for females, an effect observable in many of the previous studies reported here but which can additionally be interpreted in the light of the extremely high labor force participation of Peruvian immigrant men in Chile. A number of demographic, economic, and psychosocial factors predicted an increased risk of any CMD in the multivariate model specific to immigrants: namely, female sex, primary education, active debt, exposure to community violence, and self-reports of low social support and of low positive life orientation such as comprehensibility and manageability. Beyond the higher prevalence of CMD among immigrant women in the present study, which is consistent with finding across the international literature [86], the strongest predictors of increased risk of any CMD were low educational attainment and debt, indicators associated with economic disadvantage. The linear association between lower educational level and higher risk of any CMD replicates findings from the Santiago Mental Disorders Survey [36] and is consistent with findings from other Latin American studies [89]). There is also a well-established relationship between unsecured debt and physical and mental health [90], which is supported by our findings of active debt being related to higher prevalence of any CMD. Both primary education and debt had higher predictive value than employment and income, which should be explored further as specific dimensions of socioeconomic status that may increase risk of CMD in immigrants. We also found a strong association between lower social support and higher risk of any CMD in immigrants, a finding consistent with a large body of evidence from general [90, 91] and immigrant [59] studies. Exposure to community violence has been reported as a risk factor for CMD in Colombia [92] and Brazil [93], and is replicated as such in the current results. Finally, our finding of sense of coherence as a protective factor for any CMD supports its stress-buffering effect in both immigrant [94] and general populations [95–97]. When examining migration-specific factors, the experience of discrimination within the last year was the strongest predictor of increased risk for any CMD in immigrants. Repeatedly found to be a risk-factor for negative health outcomes [98], CMD [99], and extending to other Latin American [33, 41, 42] and high income [59] settings, our results expand on the role of perceived discrimination as a risk factor for poorer health among economic immigrants in an upper middle-income setting. Contrary to our expectations, the risk of any CMD was not predicted by age at migration. This goes against extensive literature from the US and Canada demonstrating that migration during childhood or adolescence compared with adulthood poses a risk for poorer mental health outcomes [12]. Our lack of findings may be related to the demographic characteristics of the current sample, a minority of which had immigrated as children. This contrasts with migration experiences where exposure and the progressive acculturation to a greatly different host culture may be accompanied by a deterioration in mental health with increased length of stay (which may further confound age of migration effects). Existing research on international migration shows vast methodological, case definition, and comparison-group differences across studies, which pose obstacles to drawing reliable parallels. Many assessments of depressive and anxiety symptoms/disorders are self-reports rather than based on diagnostic interviews, and the characterizations of immigrants (for example, as refugees or economic immigrants) and definitions of groups (such as immigrants and ethnic minorities) are not always clearly delineated. The same holds for comparison groups, as studies variably use second-generation immigrants of the same ethnicity, representative samples of the native population, or the general population of the country of origin. The development of further large-scale, methodologically rigorous epidemiological studies that allow regional and global comparisons of immigrants’ mental health should thus be of high priority. This urban population-based cohort study of first-generation Peruvian immigrants and Chilean-born non-immigrants provides novel prevalence estimates from an understudied geographical region, where the acculturation process for the immigrant sample was shaped by high levels of cultural contiguity at the linguistic, religious, and ethnic level. We included a wide range of sociodemographic, economic, psychosocial, and migration-specific variables as potential predictors of higher risk of adverse mental health outcomes as measured with the CIS-R. We aimed to address common methodological issues with the use of well-validated instruments and a standardized clinical diagnostic tool (assessing depressive disorder, OCD, GAD, phobia, agoraphobia, panic disorder, and any CMD) that has previously been validated in the local population. Nevertheless, shortcomings of the study include the relatively low response rate (61.1%) compared with those reported in previous Chilean studies (90% in the Santiago Mental Disorders Survey [36]; 87.4% in Chile Psychiatric Prevalence Study [100]), the lack of data on selectiveness of participation by immigrants status, as well as its purely cross-sectional nature. The study's immigrant sample provides important evidence of the Latin American context, where immigration often takes place across neighboring and culturally similar countries; however, the data collection was carried out in 2011, and Chile has since seen drastic increases in the number of immigrants of both Peruvian and other nationalities (immigrants comprised 1.8% of the total population in 2010 and 4.4% in 2017 [34, 101]. Therefore, the generalization of our results to immigrant groups in divergent conditions remains limited. Specifically, this highlights the need for further research into sociodemographic differences such as prevalence estimates in immigrants with lower vs. higher educational level. More generally, academic studies would benefit from using longitudinal approaches to further understand the prevalence and severity of CMD over time (and potential causal mechanisms) for different immigrant subgroups. In the context of unprecedented levels of migration, local governments are also called upon to expand the monitoring of immigrant mental health by including relevant measures in health and social surveys. Conclusion Our study has showed a mental health advantage for Peruvian immigrants compared with Chilean non-immigrants only in estimates of non-specific CMD and preliminary regression models, thus providing limited evidence for a healthy immigrant effect. Amongst the pressing need for increased mental health service provision for CMD among both immigrants and non-immigrants, our findings specifically support a prioritization of resources towards potential protective factors, such as psychosocial interventions that strengthen individuals’ sense of coherence. Critically, and supported by strong associations between debt and discrimination, and higher risk of CMD in our study, any healthy immigrant effect may also be diluted, abolished, or reversed by the intersection with socioeconomic and psychosocial factors. This complexity must be considered in efforts by academic, financial and health organizations, and governments to support specific immigrant populations’ mental health. Supplementary Information Additional file 1.  Abbreviations CIS-R Clinical Interview Schedule-Revised CMD Common Mental Disorders GAD General Anxiety Disorder HIC High income countries ISHS Inner Santiago Health Study LMIC Low- and middle-income countries MADD Mixed Anxiety and Depressive Disorder OCD Obsessive Compulsive Disorder RM Region Metropolitana UMIC Upper Middle-Income Country Acknowledgements We acknowledge Datavoz for the data collection, Aida Novoa who supervised data collection and Ivan Fuentealba who validated the data file. We would also like to thank all residents Recoleta and Santiago who contributed through their participation. PBJ acknowledges funding from the NIHR ARC East of England and the Cambridge BRC. AEC acknowledges funding from ANID (FONIS SA19I002 and FONDECYT 11170828) and Pfizer Inc. (69879319). Authors’ contributions AE: conceptualization; methodology; validation; investigation; resources; data curation; writing - original draft, review and editing; project administration; funding acquisition. KS: writing – original draft, review & editing, approved the final version. PV: methodology, approved the final version. RP: formal analysis, approved the final version. PBJ: conceptualization, methodology, supervision, writing - review & editing, approved the final version. The author(s) read and approved the final manuscript. Funding The study was supported by the Centre for Latin American Studies at the University of Cambridge and the Chilean Governments’ Becas Chile grant scheme. The funding did not play any role in the study design, data collection, analysis or interpretation of the data or writing of the manuscript. Availability of data and materials The de-identified dataset generated and analyzed during the current study is publicly available at Dataverse: Errazuriz, Antonia, 2022, "Inner Santiago Health Study (ISHS)", https://doi.org/10.7910/DVN/RLT7JI, Harvard Dataverse, V1. Declarations Ethics approval and consent to participate The study was conducted in line with the Declaration of Helsinki and reviewed by the University of Cambridge Psychology Research Ethics Committee (UK; No. 2010.70) and the Ethics Committee of the Metropolitan Northern Health Area of SMR (Chile). Written informed consent was obtained from all participants before participating in the survey. Participation was voluntary, and they could choose to withdraw at any time. Consent for publication Not applicable. 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