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Assessing the risk for suicide in schizophrenia according to migration, ethnicity and geographical ancestry

Overview of attention for article published in BMC Psychiatry, February 2017
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Title
Assessing the risk for suicide in schizophrenia according to migration, ethnicity and geographical ancestry
Published in
BMC Psychiatry, February 2017
DOI 10.1186/s12888-016-1180-3
Pubmed ID
Authors

Nuwan C. Hettige, Ali Bani-Fatemi, James L. Kennedy, Vincenzo De Luca

Abstract

Suicide is a leading cause of mortality among those afflicted by schizophrenia. Previous studies demonstrated that the stressors associated with immigration may lead to an onset of schizophrenia and suicide separately in susceptible individuals. However, no studies have shown whether immigration may lead to suicidal behaviour for individuals with schizophrenia. Our study proposes that an individual's geographical ancestry, ethnicity or migration status may be predictive of suicide risk in schizophrenia. In a sample of 276 participants with schizophrenia spectrum disorders, we conducted cross-sectional assessments to collect clinical information. Self-identified ethnicity and suicide history were collected through self-report questionnaires and interview-based scales. Ancestry was identified using 292 genetic markers from HapMap. Migrants were classified as those who immigrated to Canada during their lifetime. Using a regression analysis, we tested whether a history of migration, ethnicity or geographical ancestry were predictive of a history of suicide attempts. Our analysis failed to demonstrate a significant relationship between suicide history and migration, ethnicity or ancestry. However, ethnicity appears to be significantly associated with the number of psychiatric hospitalizations in our sample. Ethnicity and migration history are not predictive of previous suicide attempts. Ethnicity may be an important demographic factor affecting access to mental health resources and frequency of hospitalizations.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 106 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 21 20%
Student > Master 13 12%
Student > Doctoral Student 9 8%
Student > Ph. D. Student 8 8%
Student > Postgraduate 7 7%
Other 16 15%
Unknown 32 30%
Readers by discipline Count As %
Medicine and Dentistry 21 20%
Psychology 20 19%
Nursing and Health Professions 10 9%
Social Sciences 9 8%
Biochemistry, Genetics and Molecular Biology 4 4%
Other 11 10%
Unknown 31 29%