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Patterns of depressive symptoms and antidepressant use among women survivors of intimate partner violence

Abstract

Purpose  

One of the primary mental health responses of women experiencing intimate partner violence (IPV) is depression, yet little
is known about the mental health and antidepressant use of women in the period after leaving an abusive partner. We investigate
patterns of antidepressant use and depressive symptoms by various social indicators (parenting status, socioeconomic status,
severity of abuse and disclosure of abuse). Second, we examine whether variation in antidepressant use is explained by higher
rates of depression diagnoses and/or depressive symptoms, taking these social indicators into consideration.

Methods  

We examine data from the Women’s Health Effects Study, a community sample of 309 Canadian women who have recently left an
abusive partner.

Results  

Bivariate results reveal that over 80% of women with elevated depressive symptoms are without diagnosis and antidepressant
medication. Multivariate analyses show that antidepressant use is predicted by an indicator of economic disadvantage, with
women who receive social assistance or disability benefits being more likely to report elevated antidepressant use, controlling
for both depressive symptoms and depression diagnoses.

Conclusions  

Documenting and explaining depressive symptoms and antidepressant use among IPV survivors provides insight into one of many
possible treatment options available to women with depression, and sheds light on potential health disparities among this
subgroup of the population.

  • Content Type Journal Article
  • Category Original Paper
  • Pages 1-11
  • DOI 10.1007/s00127-011-0459-4
  • Authors
    • Jinette Comeau, Department of Sociology, Social Science Centre, The University of Western Ontario, London, ON N6A 5C2, Canada
    • Lorraine Davies, Department of Sociology, Social Science Centre, The University of Western Ontario, London, ON N6A 5C2, Canada
    • Journal Social Psychiatry and Psychiatric Epidemiology
    • Online ISSN 1433-9285
    • Print ISSN 0933-7954
Posted in: Journal Article Abstracts on 01/05/2011 | Link to this post on IFP |
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