Citation

Weiss SJ, Simeonova DI, Kimmel MC, Battle CL, Maki PM, Flynn HA. Arch. Women Ment. Health 2015; 19(3): 491-499.

Affiliation

Department of Behavioral Science and Social Medicine, Florida State University, 115 West Call Street, Tallahasse, FL, 32306, USA. heather.flynn@med.fsu.edu.

Copyright

(Copyright © 2015, Holtzbrinck Springer Nature Publishing Group)

DOI

10.1007/s00737-015-0575-3

PMID

26403982

Abstract

Severely depressed women incur substantial disability and suicide risk, necessitating an understanding of factors that may contribute to severe depression. The purpose of this research was to determine the degree to which age, physical morbidity, anxiety, and hormonal status predict the likelihood of severe depression among women with mood disorders (n = 298). Data arose from a standardized battery of measures in a multi-center clinical registry of patients with mood disorders. The women were being treated at 17 participating sites of the National Network of Depression Centers.

RESULTS of logistic regression analyses indicate that a woman's level of anxiety was the strongest predictor of her likelihood of having severe depression (Exp(B) = 1.33, p = .000), including thoughts of death or suicide. The number of physical health problems that a woman reported was also a significant predictor (Exp(B) = 1.09, p = .04). Neither age nor hormonal status was significant in the final model, although a trend was observed for women with surgically induced menopause to have more severe depression.

FINDINGS support the need to work closely with medical practitioners to address physical health problems as part of the treatment plan for depression and to give comorbid anxiety and depression equal priority in symptom management.

Language: en