A Cross Sectional Study of Correlation between Personality Profile and Sociodemographic Profile in Patients with Opioid Use Disorder Attending Tertiary Care De-addiction Services in Teaching Institute of a Metropolitan City
Author : Faizee Faizaan, Dakshikar Sarika, Chavhan Ravindra and Gupta Archita
Abstract :
Background: Substance use disorder (SUD) includes symptoms indicating continued substance use despite significant issues. In India, opioid use is prevalent in 2.1% of the population, with heroin being the most common (1.14%). Specific personality traits may predispose individuals to drug use disorders. The DSM-5 alternative model defines personality disorders using five pathological domains: Antagonism, Disinhibition, Negative Affectivity, Psychoticism, and Detachment. While previous research has shown that patients with heroin use disorders exhibit more impulsivity traits, few studies have examined the personality profile using the alternative model.
Objective: To study the correlation between personality profile and sociodemographic profile in patients with opioid use disorder (OUD).
Methodology: A cross-sectional study was conducted on 100 patients meeting DSM-5 criteria for OUD. The Personality Inventory for DSM-5 Brief Form (PID5BF) was used for personality assessment, and the Modified Kuppuswamy Scale (2022) for socioeconomic data. Analysis was done using SPSS 27.0. Descriptive data was calculated as means and standard deviations. The Chi-square test and ANOVA test was used to make comparisons between groups. A P value < 0.05 was considered significant.
Results and Discussion: The study population had a mean age of 32.77 years, predominantly male (99%). The mean duration of opioid use was 8.44 years, with an average age of first problematic use at 24.17 years. Disinhibition scored highest among personality domains (mean=1.15). Significant correlations included: age and Detachment, linked to unresolved developmental conflicts; education and Antagonism/Psychoticism, with higher education aiding increased problem recognition; unemployment and Disinhibition, affecting job performance; duration of use and Antagonism; primary support group issues and high Negative Affect/Disinhibition.
Conclusion: Sociodemographic factors like education, employment, and substance use patterns are significantly affected by dysfunctional personality domains, especially Disinhibition and Psychoticism. Recognizing these relationships can lead to better clinical outcomes through personality-informed assessment.
Keywords :
Opioid Use Disorder, Alternative Personality Model, Disinhibition, Sociodemographic Factors.
