Socio-demographic and Clinical Profile of Relapse Among Patients with Substance Use Disorders in an Egyptian Sample, Descriptive Cross-Sectional Study

Document Type : Original Article

Authors

1 Demonstrator at psychiatrist and mental health nursing department, faulty of nursing, mansoura university,egypt

2 psychiatric and mental health nursing, .faculty of nursing , Mansoura university ,Egypt .

3 lecture at psychiatric and mental health nursing department faculty of nursing , Mansoura university ,Egypt

10.21608/mnj.2025.342664.1469

Abstract

Background: One of the major problems after successful detoxification and rehabilitation in patients with substance use disorders (SUD ) is high rate of substance use relapse, even after a long period without using illegal drugs. More than 50 % of patients with SUD relapse after treatment and rehabilitation. aims to assess socio-demographic and clinical profile of relapse among Patients with substance use disorders in an Egyptian Sample. method: A descriptive cross sectional study design was utilized with a sample of 210 patients diagnosed with substance use disorders with recurrent admission to psychiatry outpatients clinics at Mansoura University Hospital. Data was collected using socio-demographic characteristics and clinical data sheet. Results: Result in this study revealed that Less than three quarters (73.3%) of studied patients were between 20 to less than 35 years. The majority of the sample were males (98.6%). Less than half of studied patients (44.3%) were intermediate education /education above average . Near to half of studied patients (47.1%) were single. More than half of the studied patients were not working, live in urban areas (52.45%) and (57.6%) respectively . Majority of studied patients had insufficient income (81%). Conclusion: Current study shows that age, gender, marital status, education, family income, area of residence and other socio demographic and clinical data are associated with substance use relapse .Recommendation: This study will be helpful for early determine of relapse factors with more accuracy based on their socio-demographic features.

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