Bibliographic Details
| Title: |
Dry Eye Disease: Consideration for Women's Health. |
| Authors: |
Matossian, Cynthia (AUTHOR), McDonald, Marguerite (AUTHOR), Donaldson, Kendall E. (AUTHOR), Nichols, Kelly K. (AUTHOR), MacIver, Sarah (AUTHOR), Gupta, Preeya K. (AUTHOR) |
| Source: |
Journal of Women's Health (15409996). Apr2019, Vol. 28 Issue 4, p502-514. 13p. 4 Charts, 1 Graph. |
| Subjects: |
Treatment of dry eye syndromes, Autoimmune diseases, Chronic diseases, Eye care, Dry eye syndromes, Health, Homeostasis, Pain, General practitioners, Quality of life, Sex distribution, Tears (Body fluid), Women's health, Comorbidity, Treatment effectiveness, Disease prevalence, Early diagnosis, Diagnosis, Disease risk factors |
| Abstract: |
Dry eye disease (DED) is a multifactorial disorder of the ocular surface and tear homeostasis that can result in discomfort, pain, and visual disturbance. Untreated, DED can become chronic, progressive, and significantly affect an individual's quality of life. Women are disproportionately affected by DED, are diagnosed at a younger age, and experience more severe symptoms compared with men. DED is associated with a wide range of comorbid conditions; there is a strong association between DED and autoimmune disorders, especially those that affect women at many times the rate of men. Treatment response questionnaires indicate women respond better to a wellness model of treatment for DED than men. Furthermore, women's health care-seeking behaviors provide opportunities for general practitioners, specialists, and women's health centers to help identify women with DED or at risk for DED for referral to an eye care specialist. This review of the prevalence of DED in women, and gender and sex-specific aspects of DED, highlight a significant opportunity for action. Earlier diagnosis and treatment of this common but burdensome condition could significantly improve a woman's quality of life. [ABSTRACT FROM AUTHOR] |
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Copyright of Journal of Women's Health (15409996) is the property of Mary Ann Liebert, Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Psychology and Behavioral Sciences Collection |