Journal Article
Research Support, Non-U.S. Gov't
Add like
Add dislike
Add to saved papers

Predictors of Depression in Iranian Women with Polycystic Ovarian Syndrome.

Depression is a major complication of polycystic ovarian syndrome (PCOS). Lifestyle modification can prevent it. This study aimed to determine the predictors of depression in women with PCOS. This cross-sectional study was conducted on 174 women who attended in infertility clinics in Urmia-Iran, 2015. The data were collected through socio-demographic, Beck Depression Inventory-II and Health Promoting Lifestyle Profile-2 questionnaires. The mean (standard deviation) of total score of the depression was obtained 27.4 (10.5) in the range 0-63. The mean (SD) of total score of the health promoting lifestyle was obtained 2.2 (0.3) out of 4. Based on multivariate linear regression, the variables of nutrition, interpersonal relationships, spiritual growth, stress management, BMI, the perceived stress of the disease, the first supporter and menstrual bleeding were predictors of the depression. Given the high prevalence of depression in PCOS patients and its relationship with health-promoting behaviors, lifestyle modification to reduce depression is necessary.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app