Osteopenia and Urinary retention

Summary:

Urinary retention is found among people with Osteopenia, especially for people who are female, 60+ old.

The study analyzes which people have Urinary retention with Osteopenia. It is created by eHealthMe based on reports of 144 people who have Osteopenia 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 Osteopenia?

Osteopenia (a condition where bone mineral density is lower than normal) is found to be associated with 1,435 drugs and 1,172 conditions by eHealthMe. Check the latest studies of Osteopenia.

What is Urinary retention?

Urinary retention (the inability to completely or partially empty the bladder) is found to be associated with 1,568 drugs and 1,741 conditions by eHealthMe. Check the latest studies of Urinary retention.

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 >>>.

On Aug, 29, 2026

144 people who have Osteopenia and Urinary Retention are studied.

Would you have Urinary retention when you have Osteopenia?

* Approximation only. Some reports may have incomplete information.

Do you take medications and have Urinary retention?

- Check whether Urinary retention is associated with a drug or a condition

Related publications that referenced our studies

Schattner A, Al-Bewerat A, "Levetiracetam (Keppra), urinary retention and literature search", A fatty cause of renal failure; what is your diagnosis?, 2016 Oct .
Schattner A, Al-Bewerat A, "Levetiracetam (Keppra), urinary retention and literature search", A fatty cause of renal failure; what is your diagnosis?, 2016 Oct .

Related studies:

Treatments, associated drugs and conditions:

Osteopenia (46,948 reports)
Urinary retention (42,974 reports)

All the drugs that are associated with Urinary retention:

Urinary retention (1,568 drugs)

All the conditions that are associated with Urinary retention:

Urinary retention (1,741 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 Urinary retention and Osteopenia, 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.