Background. Anxiety and depressive symptoms are common worldwide and, according to the World Health Organization, their prevalence has increased in the last decades. Further, dysfunctional personality traits are frequently coupled with anxiety and depressive symptoms. The prevalence of these symptoms is particularly relevant in medical students. Methods. This study assessed the prevalence of anxiety and depressive symptoms in Italian medical students from the University of Modena and Reggio Emilia, by using the Hospital Anxiety and Depression Scale (HADS). Personality traits were assessed as well by employing the Personality Inventory for DSM-5, Brief Form (PID-5-BF), to explore their association with anxiety and depressive symptoms. A self-administered questionnaire was sent by e-mail to all the 944 students and 459 (48.6%) were enrolled. Besides the HADS and the PID-5-BF, the questionnaire included items concerning everyday life activities such as sports and academic features such as the years of attendance and average marks. Results. A high prevalence of anxiety (n=92; 20%), depression (n=32; 7%), and comorbid anxiety-depressive symptoms (n=218; 47%) was reported. Multiple binary logistic analysis showed increased levels of anxiety and depression to be associated with personality traits, namely detachment and negative affect, and use of cognitive enhancers. On the other hand, sports activities, social activities and distraction were related to lower levels of symptoms. Conclusions. Symptoms of depression and anxiety are common among Italian medical students and specific interventions should be implemented to target them.
Anxiety, depression and personality traits in Italian medical students / Bertani, Davide E.; Mattei, Giorgio; Ferrari, Silvia; Pingani, Luca; Galeazzi, Gian Maria. - In: RIVISTA DI PSICHIATRIA. - ISSN 0035-6484. - 55:6(2020), pp. 342-348. [10.1708/3503.34892]
Anxiety, depression and personality traits in Italian medical students
Davide E. Bertani;Silvia Ferrari;Luca Pingani;Gian Maria Galeazzi
2020
Abstract
Background. Anxiety and depressive symptoms are common worldwide and, according to the World Health Organization, their prevalence has increased in the last decades. Further, dysfunctional personality traits are frequently coupled with anxiety and depressive symptoms. The prevalence of these symptoms is particularly relevant in medical students. Methods. This study assessed the prevalence of anxiety and depressive symptoms in Italian medical students from the University of Modena and Reggio Emilia, by using the Hospital Anxiety and Depression Scale (HADS). Personality traits were assessed as well by employing the Personality Inventory for DSM-5, Brief Form (PID-5-BF), to explore their association with anxiety and depressive symptoms. A self-administered questionnaire was sent by e-mail to all the 944 students and 459 (48.6%) were enrolled. Besides the HADS and the PID-5-BF, the questionnaire included items concerning everyday life activities such as sports and academic features such as the years of attendance and average marks. Results. A high prevalence of anxiety (n=92; 20%), depression (n=32; 7%), and comorbid anxiety-depressive symptoms (n=218; 47%) was reported. Multiple binary logistic analysis showed increased levels of anxiety and depression to be associated with personality traits, namely detachment and negative affect, and use of cognitive enhancers. On the other hand, sports activities, social activities and distraction were related to lower levels of symptoms. Conclusions. Symptoms of depression and anxiety are common among Italian medical students and specific interventions should be implemented to target them.File | Dimensione | Formato | |
---|---|---|---|
2020 Bertani Studenti di Medicina.pdf
Open access
Tipologia:
Versione pubblicata dall'editore
Dimensione
325.29 kB
Formato
Adobe PDF
|
325.29 kB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris