Early-life factors associated with increased risk of disability pension in the national real-world schizophrenia FACE-SZ cohort study

Risk of unemployment and work disability among refugee and non-refugee migrants with incident psychotic disorders in Sweden and Denmark

BACKGROUND

Unemployment and work disability are common among individuals with non-affective psychotic disorders (NAPDs) but it is unknown whether rates differ among migrants and native-born individuals. The present study aimed to compare the risk of these outcomes during the first 5 years of illness in non-refugee migrants, refugees and native-born individuals with NAPDs in Sweden and Denmark-two countries with different immigration policies and models of early psychosis care.

METHODS

Using national registers, we identified all individuals aged 18-35 years in Sweden and Denmark who received an incident NAPD diagnosis between 2006 and 2013 (N = 6750 and 8320, respectively). Cohorts were followed for 5 years to determine the days of unemployment and sickness absence (analyzed using zero-inflated negative binomial models) and the time to receipt of disability pension (analyzed using complementary log-log models).

RESULTS

Relative to their native-born peers, refugees and non-refugee migrants in Sweden and non-refugee migrants in Denmark were significantly less likely to have zero unemployment days (OR range: 0.54-0.72) and all migrant groups experienced more unemployment days (IRR range: 1.26-1.37). Results were largely unchanged after adjustment for sociodemographic and clinical factors. In the adjusted model, both Swedish migrant groups and refugees in Denmark were more likely to experience zero sickness absence days than native-born individuals (OR range: 1.48-1.56). Only refugees in Denmark were at greater risk of disability pension.

CONCLUSIONS

Non-refugee migrants and refugees with NAPDs in both Sweden and Denmark are particularly vulnerable to experiencing unemployment. Targeted interventions may help to reduce these disparities and promote long-term work ability among migrant groups.

Self-stigma in schizophrenia: a systematic review and meta-analysis of 37 studies from 25 high- and low-to-middle income countries

In schizophrenia, it is currently thought that stigma experience is increased by psychotic and depressive symptomatology, exposure to stigma at the workplace, and that self-stigma levels vary across countries without knowing the factors explaining these variations. The aim of the present meta-analysis was to synthetize the data of observational studies comprehensively exploring multiple self-stigma dimensions and associated factors. A systematic literature search without language or time restrictions was conducted in Medline, Google Scholar, and Web of Science for studies, last 09/2021. Eligible studies that included ≥80% of patients diagnosed with schizophrenia-spectrum disorders and used a validated scale measuring self-stigma dimensions were meta-analysed using random-effects models, followed by subgroup and meta-regression analyses. Study registration: PROSPERO CRD42020185030. Overall, 37 studies (n = 7717) from 25 countries (5 continents) published between 2007 and 2020 were included, with 20 studies conducted in high-income countries. These studies used two scales with total scores ranging 1-4. The mean estimate of perceived stigma was 2.76 [95% confidence interval (CI) = 2.60-2.94], experienced stigma 2.29 [95% CI = 2.18, 2.41], alienation 2.40 [95% CI = 2.29, 2.52], stereotype endorsement 2.14 [95% CI = 2.03, 2.27], social withdrawal 2.28 [95% CI = 2.17, 2.39] and stigma resistance 2.53 [95% CI = 2.43, 2.63]). Self-stigma levels did not reduce over time. Living outside urban areas, low-income, singleness, unemployment, high antipsychotic dose and low functioning were associated with different stigma dimensions. Some stigma dimensions were lower in studies carried out in Europe compared to other regions. Most studies published since 2007 report that self-stigma is a particular concern for a specific subgroup of patients. This subgroup is characterized by unemployment, high antipsychotic dose and low functioning. We identified important other missing factors that should be explored to improve the effectiveness of public policies and personalized interventions to reduce self-stigma. Importantly, classical illness severity indices (psychotic severity, age at illness onset, illness duration) and sociodemographic variables (age, sex and education) were not associated with self-stigma, moderating previous findings.