| Literature DB >> 17994347 |
Fabiana Campos Hirata1, Monica Colares Oliveira Lima, Veralice Meireles Sales de Bruin, Paulo Ribeiro Nóbrega, Germano Paulo Wenceslau, Pedro Felipe Carvalhedo de Bruin.
Abstract
Medical students are at higher risk for depression, affecting not only their lives but also patient care. This article studied a population of medical students engaged in lecture-based learning regarding the presence of depressive symptoms and its relation to morningness-eveningness. Depressive symptoms were assessed by the Beck Depressive Inventory scale (BDI>10), and diurnal preference was assessed by the Horne & Ostberg Morningness/Eveningness Questionnaire (MEQ). Family history of depression and involvement in regular physical activity were also investigated. A total of 161 students, 77 (47.8%) males, aged 19 to 30 yrs (22.1+/-2.1) living in a city close to the equator were evaluated. Fifty-three individuals (32.9%) had depressive symptoms. Depressive individuals showed a trend to be female (p=0.07). Also, female gender showed a non-significant shift toward morningness. Fifty-eight (36.0%) subjects participated in regular physical activity. In 57 cases (35.4%), there was a history of depression in the family. Fifteen individuals (9.3%) were definitely evening type, 42 (26.1%) were moderately evening type, 44 (27.3%) were indifferent, 42 (26.1%) were moderately morning type, and 18 (11.2%) were definitely morning type. Family history of depression (OR=0.29, 95% CI=1.37-6.12) and sedentary life (OR=0.28, 95% CI=0.12-0.65) were associated with depressive symptoms. Eveningness was associated with depressive symptoms (OR=0.66, 95% CI=0.50-0.88), and this association remained significant after adjusting for the presence of familial depression and physical activity (OR=0.71, 95% CI=0.52-0.95). In conclusion, depressive symptoms are independently associated with "eveningness" in medical students. These results should be confirmed by future studies involving a larger number of subjects.Entities:
Mesh:
Year: 2007 PMID: 17994347 DOI: 10.1080/07420520701657730
Source DB: PubMed Journal: Chronobiol Int ISSN: 0742-0528 Impact factor: 2.877