Predictors of Quality of Life in Bipolar Disorder
- Disease/Condition
- Bipolar Disorder
- Drug/Device/Intervention
- survey
- Study type
- Observational
- Intervention type
- other
- Primary sponsor
- Kubra TOHUMCU
- Funder
- University of Gaziantep
- Phase
- N/A
- Start date
- Nov 15, 2023
- End date
- Mar 15, 2024
- Enrollment
- 80 participants
The Predictive Effect of Impulsivity on Quality of Life in Patients with Bipolar Disorder
This study was planned to determine the predictive effects of impulsivity and coping skills
 on quality of life in patients with bipolar disorder. The sample of the study, which was
 carried out in a descriptive design, will consist of 80 patients who applied to Adıyaman
 Besni State Hospital Psychiatry Outpatient Clinic with a diagnosis of bipolar disorder
 according to Diagnostic and Statistical Manual of Mental Disorders-5 and who were in the
 euthymic period according to the doctor's control. It was planned to collect the data by
 applying the Personal Information Form prepared by the researchers, Brief Quality of Life in
 Bipolar Disorder, Barratt Impulsivity Scale -11 Short Form and Coping Attitudes
 Evaluation Scale. The data will be evaluated with descriptive statistics, Mann-Whitney
 U-test, Kruskal Wallis test, Pearson correlations and regression analyses using Statistical
 Package for the Social Sciences 22 software. Scale use and ethics committee permission were
 obtained from the responsible authors of the scales before the study.
- Registry
- ClinicalTrials.gov
- Trial ID
- NCT06101212
- Type
- Non-Device Trial
Access comprehensive clinical trial information for NCT06101212 through Pure Global AI's free database. This phase not specified trial is sponsored by Kubra TOHUMCU and is currently Not yet recruiting. The study focuses on Bipolar Disorder. Target enrollment is 80 participants.
This page provides complete trial specifications, intervention details, outcomes, and location information. Pure Global AI offers free access to ClinicalTrials.gov data, helping medical device and pharmaceutical companies navigate clinical research efficiently.