Paranoia and Type 1 diabetes

Summary:

Type 1 diabetes is found among people with Paranoia, especially for people who are male, 40-49 old.

The study analyzes which people have Type 1 diabetes with Paranoia. It is created by eHealthMe based on reports of 15 people who have Paranoia 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 Paranoia?

Paranoia (psychotic disorder characterized by delusions of persecution with or without grandeur) is found to be associated with 1,042 drugs and 1,276 conditions by eHealthMe. Check the latest studies of Paranoia.

What is Type 1 diabetes?

Type 1 diabetes is found to be associated with 668 drugs and 1,644 conditions by eHealthMe. Check the latest studies of Type 1 diabetes.

On Aug, 03, 2026

15 people who have Paranoia and Type 1 Diabetes are studied.

Would you have Type 1 diabetes when you have Paranoia?

Gender of people who have Paranoia and experienced Type 1 Diabetes *:

female: 26.67 %
male: 73.33 %

Age of people who have Paranoia and experienced Type 1 Diabetes *:

Common co-existing conditions for these people *:

Depression: 10 people, 66.67%
Schizophrenia (a mental disorder characterized by a breakdown of thought processes): 9 people, 60.00%
Insomnia (sleeplessness): 6 people, 40.00%
Agitation (state of anxiety or nervous excitement): 6 people, 40.00%
Bipolar Disorder (mood disorder): 6 people, 40.00%
Sleep Disorder: 5 people, 33.33%
Urination - Painful: 3 people, 20.00%
Affective Disorder (mental disorder): 3 people, 20.00%
Erection Problems: 3 people, 20.00%
Hallucination, Auditory (perceiving sounds without auditory stimulus): 3 people, 20.00%

Common drugs taken by these people *:

Common symptoms for these people *:

Type 2 Diabetes: 11 people, 73.33%
Diabetes: 11 people, 73.33%
Diabetes Mellitus Inadequate Control: 5 people, 33.33%
Hyperglycemia (high blood sugar): 5 people, 33.33%
Hypoglycemia (low blood sugar): 3 people, 20.00%
Diabetic Retinopathy (damage to the retina caused by complications of diabetes): 3 people, 20.00%
Hyperlipidaemia (presence of excess lipids in the blood): 3 people, 20.00%
Weight Loss: 2 people, 13.33%
Drug Ineffective: 2 people, 13.33%
High Blood Cholesterol: 2 people, 13.33%

* Approximation only. Some reports may have incomplete information.

Do you take medications and have Type 1 diabetes?

- Check whether Type 1 diabetes is associated with a drug or a condition

Related studies:

Treatments, associated drugs and conditions:

Paranoia (23,921 reports)
Type 1 diabetes (46,846 reports)

All the drugs that are associated with Type 1 diabetes:

Type 1 diabetes (668 drugs)

All the conditions that are associated with Type 1 diabetes:

Type 1 diabetes (1,644 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 Type 1 diabetes and Paranoia, 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.