Publications by authors named "Andre Buscariolli"

Background: A higher risk of common mental health disorders has been found for first-generation migrants in high income countries, but few studies have examined the use of mental health care. This study aimed to identify the level of antidepressant use amongst the largest first generation migrant groups resident in Finland.

Methods: This cohort study used record-based data linkage methodology to examine the hazard of antidepressant use between migrant groups in Finland using Cox proportional hazard models.

View Article and Find Full Text PDF

Higher incidence of psychotic disorders in high-income countries for migrants compared with the settled majority has been well established. However, it is less clear to what extent different migrants groups have accessed and utilised mental health care. This study aimed to identify the hazard of antipsychotic medication use in the largest migrant groups in Finland, compared with a Finnish-born comparison group, using high quality datasets maintained by Statistics Finland and Social Insurance Institution Finland, and linking socio-demographic and -economic characteristics to antipsychotic prescription purchases.

View Article and Find Full Text PDF

Purpose: The aim of the study was to investigate sickness absence due to mental disorders in human service occupations.

Methods: Participants (n = 1,466,100) were randomly selected from two consecutive national 9-year cohorts from the Statistics Finland population database; each cohort represented a 33% sample of the Finnish population aged 25-54 years. These data were linked to diagnosis-specific records on receipt of sickness allowance, drawn from a national register maintained by the Social Insurance Institution of Finland, using personal identification numbers.

View Article and Find Full Text PDF

Objectives: To examine antidepressant use among male and female human service professionals.

Methods: A random sample of individuals between 25 years and 54 years of age (n=752 683; 49.2% women; mean age 39.

View Article and Find Full Text PDF