Menstrual disorder and Depression
Summary:
Depression is found among people with Menstrual disorder, especially for people who are female, 30-39 old.
The study analyzes which people have Depression with Menstrual disorder. It is created by eHealthMe based on reports of 104 people who have Menstrual disorder from the Food and Drug Administration (FDA), and is updated regularly. You can use the study as a second opinion to make health care decisions.
What is Menstrual disorder?
Menstrual disorder (disease of menstrual cycle) is found to be associated with 529 drugs and 581 conditions by eHealthMe. Check the latest studies of Menstrual disorder.
What is Depression?
Depression is found to be associated with 3,169 drugs and 4,130 conditions by eHealthMe. Check the latest studies of Depression.
eHealthMe: drug outcomes in the real world
eHealthMe runs one of the largest post-marketing drug safety studies in the world. We study millions of patients and 5,000 more each day. Our data-driven phase IV clinical trials have been referenced on 800+ peer-reviewed medical publications including The Lancet, Mayo Clinic Proceedings, and Nature. Tools to study our phase IV findings are available to the public, anonymous and free >>>.
104 people who have Menstrual Disorder and Depression are studied.

Gender of people who have Menstrual disorder and experienced Depression *:
Age of people who have Menstrual disorder and experienced Depression *:
Common co-existing conditions for these people *:
Common drugs taken by these people *:
Common symptoms for these people *:
* Approximation only. Some reports may have incomplete information.
Do you take medications and have Depression?
- Check whether Depression is associated with a drug or a conditionRelated publications that referenced our studies
- Pang, T., & Gudi, A., "Chest pain following the use of fluvoxamine in depression", Proceedings of Singapore Healthcare, 2018 Jan .
- Pang, T., & Gudi, A., "Chest pain following the use of fluvoxamine in depression", Proceedings of Singapore Healthcare, 2018 Jan .
Related studies:
Treatments, associated drugs and conditions:
- Menstrual disorder (10,582 reports)
- Depression (652,152 reports)
All the drugs that are associated with Depression:
- Depression (3,169 drugs)
All the conditions that are associated with Depression:
- Depression (4,130 conditions)
How the study uses the data?
How to use the study?
DO NOT STOP MEDICATIONS without first consulting your doctor. If there are any serious or long term adverse effects discovered in the study, discuss the study with your doctor to ensure that proper medication management will be in place if applicable.
The study is based on Depression and Menstrual disorder, and their synonyms.
Who is eHealthMe?
With medical big data and proven AI/ML algorithms, eHealthMe provides a platform for everyone to run phase IV clinical trials. We study millions of patients and 5,000 more each day. Results of our real-world drug study have been referenced on 800+ peer-reviewed medical publications, including The Lancet, Mayo Clinic Proceedings, and Nature. Our analysis results are available to researchers, health care professionals, patients (testimonials), and software developers (open API).
WARNING, DISCLAIMER, USE FOR PUBLICATION
WARNING: Please DO NOT STOP MEDICATIONS without first consulting a physician since doing so could be hazardous to your health.
DISCLAIMER: All material available on eHealthMe.com is for informational purposes only, and is not a substitute for medical advice, diagnosis, or treatment provided by a qualified healthcare provider. All information is observation-only. Our phase IV clinical studies alone cannot establish cause-effect relationship. Different individuals may respond to medication in different ways. Every effort has been made to ensure that all information is accurate, up-to-date, and complete, but no guarantee is made to that effect. The use of the eHealthMe site and its content is at your own risk.
If you use this eHealthMe study on publication, please acknowledge it with a citation: study title, URL, accessed date.
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