Are immigrants more vulnerable to the socioeconomic impact of COVID-19? A cross-sectional study in Amadora Municipality, Lisbon metropolitan area.

Introduction: Immigrants carry an extra burden of morbidities and mortalities since the beginning of the coronavirus disease 2019 (COVID-19) pandemic. Pre-existing inequalities among immigrants may threaten their economic wellbeing during the pandemic. This study analyzed the socioeconomic impact of COVID-19 on immigrants and natives living in Amadora, Metropolitan Region of Lisbon and the extent to which preexisting inequalities had been exacerbated during the pandemic. Materials and methods: This cross-sectional study was conducted in Amadora Municipality, Lisbon Region, through phone interviews and using a structured questionnaire. Data collected in July 2020, included information on a cohort of 420 households, of which 51% were immigrants. To evaluate the socioeconomic position and economic wellbeing changes occurring during the pandemic we estimate crude and adjusted odds ratio (OR) and 95% CI, using Portuguese natives as the reference group. Results: Overall, 287 (70%) participants responded to the questionnaire, of which 47% are immigrants. Preexisting socioeconomic inequalities were exacerbated during the pandemic. Compared with natives, immigrants were more likely to experience job loss, temporary lay-off, and income loss during the COVID-19 pandemic. Immigrants were also more likely to face several kinds of financial hardship during the pandemic, such as difficulties in buying food, hygiene products, and paying bills. Conclusion: To the best of our knowledge, this study is the first to capture the direct socioeconomic impact of COVID-19 among immigrants and natives in Portugal. It highlights the bidirectional relation between inequalities deeply rooted among immigrants and COVID-19. Socioeconomic inequalities affect local patterns of COVID-19 burden, as confirmed in previous studies, but COVID-19 also has an impact on the economic wellbeing of Amadora immigrants during the pandemic. Urgent policies must be implemented to mitigate the economic burden of COVID-19 among immigrants, namely in Amadora, Lisbon Region.

Migration as a Determinant in the Development of Children Emotional and Behavior Problems: A Quantitative Study for Lisbon Region, Portugal.

The role of migration as a determinant in child mental health has been demonstrated in a number of studies. However, results are not always consistent, and the research continues to be scarce, especially in Portugal. We examined the association between sociodemographic profiles and the chance for the development of emotional and behavioral difficulties in a group of 420 children, immigrant (n = 217) and born in Portugal to Portuguese born parents (n = 203). We used a structured questionnaire to obtain sociodemographic information and the Strength and Difficulties Questionnaire (SDQ). Descriptive statistics were used to characterize children and their families; variables were compared between groups using the Chi-squared, Fisher's Exact Test, or the Mann-Whitney U test and logistic regression was used to analyze the association between socio-demographic factors and emotional and behavioral difficulties. Results showed a pattern of social and mental health inequalities with immigrant children at a disadvantage: they are more often part of families with low income and where parents had low skilled jobs. Internalizing behaviors are more frequent in immigrants than in children born in Portugal to Portuguese-born parents (p = 0.001) whereas a high total SDQ difficulties score (p = 0.039) and externalizing behaviors were more frequent in 1st generation immigrant children (p = 0.009). A low family income (aOR 4.5; 95% CI: 1.43-13.95), low parental education level (aOR 2.5; 95% CI: 1.11-5.16), and being a first-generation immigrant child (aOR 2.2; 95% CI: 1.06-4.76) increased significantly the chance of developing emotional and behavioral difficulties. This study contributes to the identification of children vulnerable to mental health problems who can benefit from monitoring, early detection and preventive interventions in order to mitigate possible negative outcomes in the future.