Personality Traits and Sociodemographic Correlates in Saudi Arabia: A DSM-5 AMPD Criterion B Study Using the PID-5-BF.

Introduction

Personality disorders are enduring, maladaptive patterns that impair social and vocational functioning. The DSM-5 Alternative Model for Personality Disorders (AMPD) distinguishes Criterion A (personality functioning: identity, self-direction, empathy, intimacy) from Criterion B (maladaptive trait domains: negative affectivity, detachment, antagonism, disinhibition, psychoticism). We frame this study within Criterion B, supporting the use of a dimensional approach that complements (rather than replaces) normative models like the Five-Factor Model (FFM) and addresses cross-cultural gaps amid Saudi Arabia's rapid sociocultural change such as the reforms associated with Vision 2030. Given Saudi Arabia's collectivist orientation and evolving sociocultural norms under Vision 2030, the dimensional approach of the AMPD Criterion B offers a culturally sensitive lens for capturing personality pathology beyond Western-centric diagnostic models. Aim: We aimed to examine how PID-5-BF maladaptive trait domains vary across key sociodemographic factors in Saudi adults. Subjects and

Methods

This was a quantitative, cross-sectional analytical study conducted among Saudi adults using the PID-5-BF Convenience sampling was performed via the dissemination of an online survey; we aimed for 377 participants and obtained 343 completed responses (~91% of the target sample). For trait assessment, we used the PID-5-BF; analyses compared domains across sociodemographic groups.

Results

Females showed a higher negative affect; participants ≤ 30 years exhibited higher psychoticism than those >40; and single individuals reported lower detachment and psychoticism than their married peers.

Conclusions

Gender, age, and marital status are associated with differences in maladaptive trait expression, supporting the need for culturally tailored screening and interventions in Saudi mental health services. These findings should be interpreted with caution given the fact that WhatsApp-based convenience sampling was used, which may bias the results as the respondents were more likely to live in urban areas, be educated, and be technologically proficient.