Major depression and Compulsive hoarding
Summary:
Compulsive hoarding is found among people with Major depression, especially for people who are female, 50-59 old.
The study analyzes which people have Compulsive hoarding with Major depression. It is created by eHealthMe based on reports of 255 people who have Major depression 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 Major depression?
Major depression (a mood state that goes well beyond temporarily feeling sad or blue. it is a serious medical illness that affects one's thoughts, feelings) is found to be associated with 798 drugs and 1,477 conditions by eHealthMe. Check the latest studies of Major depression.
What is Compulsive hoarding?
Compulsive hoarding (unwillingness to discard large quantities of objects that cover the living areas) is found to be associated with 33 drugs and 108 conditions by eHealthMe. Check the latest studies of Compulsive hoarding.
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 >>>.
255 people who have Major Depression and Compulsive Hoarding are studied.

Gender of people who have Major depression and experienced Compulsive hoarding *:
Age of people who have Major depression and experienced Compulsive hoarding *:
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 Compulsive hoarding?
- Check whether Compulsive hoarding is associated with a drug or a conditionRelated studies:
Treatments, associated drugs and conditions:
- Major depression (44,981 reports)
- Compulsive hoarding (489 reports)
All the drugs that are associated with Compulsive hoarding:
- Compulsive hoarding (33 drugs)
All the conditions that are associated with Compulsive hoarding:
- Compulsive hoarding (108 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 Compulsive hoarding and Major depression, 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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