AIMS: Research demonstrates that migrants are more vulnerable to poor mental health than general populations, but population-based studies with distinct migrant groups are scarce. We aim to (1) assess the prevalence of mental health symptoms in Russian, Somali and Kurdish origin migrants in Finland; (2) compare the prevalence of mental health symptoms in these migrant groups to the Finnish population; (3) determine which socio-demographic factors are associated with mental health symptoms. METHODS: We used data from the Finnish Migrant Health and Wellbeing Study and Health 2011 Survey. Depressive and anxiety symptoms were measured using the Hopkins Symptom Checklist-25 (HSCL-25), and 1.75 was used as cut-off for clinically significant symptoms. Somatization was measured using the Symptom Checklist-90 (SCL-90) somatization scale. The age-adjusted prevalence of mental health symptoms in the studied groups was calculated by gender using predicted margins. Logistic regression analysis was used to determine which socio-demographic factors are associated with mental health symptoms in the studied population groups. RESULTS: The prevalence of depressive and anxiety symptoms was higher in Russian women (24%) and Kurdish men (23%) and women (49%) than in the Finnish population (9-10%). These differences were statistically significant (p<.001). Socioeconomic disadvantage (e.g. unemployment and poor economic situation) and migration-related factors (e.g. poor language proficiency and short time since migration) significantly increased the odds for depressive and anxiety symptoms. CONCLUSIONS: Mental health symptoms are highly prevalent particularly in Kurdish migrants in Finland. Holistic interventions and co-operation between integration and mental health services are acutely needed.
AIMS: Research demonstrates that migrants are more vulnerable to poor mental health than general populations, but population-based studies with distinct migrant groups are scarce. We aim to (1) assess the prevalence of mental health symptoms in Russian, Somali and Kurdish origin migrants in Finland; (2) compare the prevalence of mental health symptoms in these migrant groups to the Finnish population; (3) determine which socio-demographic factors are associated with mental health symptoms. METHODS: We used data from the Finnish Migrant Health and Wellbeing Study and Health 2011 Survey. Depressive and anxiety symptoms were measured using the Hopkins Symptom Checklist-25 (HSCL-25), and 1.75 was used as cut-off for clinically significant symptoms. Somatization was measured using the Symptom Checklist-90 (SCL-90) somatization scale. The age-adjusted prevalence of mental health symptoms in the studied groups was calculated by gender using predicted margins. Logistic regression analysis was used to determine which socio-demographic factors are associated with mental health symptoms in the studied population groups. RESULTS: The prevalence of depressive and anxiety symptoms was higher in Russian women (24%) and Kurdish men (23%) and women (49%) than in the Finnish population (9-10%). These differences were statistically significant (p<.001). Socioeconomic disadvantage (e.g. unemployment and poor economic situation) and migration-related factors (e.g. poor language proficiency and short time since migration) significantly increased the odds for depressive and anxiety symptoms. CONCLUSIONS: Mental health symptoms are highly prevalent particularly in Kurdish migrants in Finland. Holistic interventions and co-operation between integration and mental health services are acutely needed.
Authors: Shadia Rask; Irma T Elo; Seppo Koskinen; Eero Lilja; Päivikki Koponen; Anu E Castaneda Journal: Eur J Public Health Date: 2018-10-01 Impact factor: 3.367
Authors: Natalia Skogberg; Päivikki Koponen; Paula Tiittala; Katri-Leena Mustonen; Eero Lilja; Olli Snellman; Anu Castaneda Journal: BMJ Open Date: 2019-04-08 Impact factor: 2.692
Authors: Katri Kilpeläinen; Suvi Parikka; Päivikki Koponen; Seppo Koskinen; Tuulia Rotko; Timo Koskela; Mika Gissler Journal: Glob Health Action Date: 2016-02-29 Impact factor: 2.640