Comparison of sleep quality and quantity, and sleepiness in people with bipolar disorder and borderline personality disorder

Pourzargham, Marziyeh; Samimi ardestani, Fateme; Samimi ardestani, Mehdi

Volume 14, Issue 3 (Summer 2025) aumj 2025, 14(3): 276-290 | Back to browse issues page

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Pourzargham M, Samimi ardestani F, Samimi ardestani M. Comparison of sleep quality and quantity, and sleepiness in people with bipolar disorder and borderline personality disorder. aumj 2025; 14 (3) :276-290
URL: http://aums.abzums.ac.ir/article-1-1826-en.html

Comparison of sleep quality and quantity, and sleepiness in people with bipolar disorder and borderline personality disorder

Marziyeh Pourzargham ^*¹

, Fateme Samimi ardestani²

, Mehdi Samimi ardestani³

1- Islamic Azad University, Central Tehran Branch, Tehran، Iran , ZAHRA.KHOLUSI@GMAIL.COM
2- Department of Psychology and Social Sciences ، Islamic Azad University, Central Tehran Branch, Tehran, Iran
3- Faculty of Medicine, Shahid Beheshti University, Tehran, Iran

Abstract: (130 Views)

Introduction: Sleep disturbances are common in psychiatric disorders like borderline personality disorder (BPD) and bipolar disorder (BD), potentially aiding in their clinical differentiation. This study aimed to compare sleep quality, quantity, and daytime sleepiness in individuals with these disorders.
Method: This causal-comparative study included 40 participants (20 from each group) diagnosed with BD or BPD, based on DSM-5 criteria, referred to Imam Hossein Hospital in Tehran in 2017. Data were collected using the Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), Mood Disorder Questionnaire (MDQ), Borderline Personality Inventory, and self-reported sleep duration.
Results: MANOVA analysis revealed significant differences between the groups in sleep quality, quantity, and daytime sleepiness (P < 0.05). Individuals with bipolar disorder showed more unstable sleep patterns and higher daytime sleepiness than those with borderline personality disorder.
Conclusion: These findings may improve diagnostic accuracy and inform the development of targeted therapeutic interventions based on sleep patterns.