No abstract

Background: Medical training is a stressing situation, making medical students vulnerable to psychiatric disorders, such as depression and anxiety. Objective: The study aimed to assess the prevalence of stress and coping in students of a public medical school in Brazil, comparing the groups from the first and sixth years of training. Methods: Through a cross-sectional, observational study, a sample of 232 first and sixth-year regularly registered medical students has been evaluated. Students filled a socio-demographic questionnaire, the Lipp Inventory of Stress Symptoms (ISSL), and the Coping Strategies Inventory (CSI). Results: From the total sample of 232 students, 110 were first-year students and 122 sixth-year students. Stress symptoms were significantly higher in first-year students (49.1%) than in the sixth-year group (33.6%; p = 0.018). Variables significantly associated with stress were: year of the training (1 st year > 6 th year), income (lower > higher income), satisfaction with the training (dissatisfied > satisfied) and the use of escape/avoidance copying strategy (positive association). Discussion: Considering the higher stress symptoms among first-year medical students and the positive association of the escape/avoidance copying strategy with stress, strategies must be developed to enable students starting medical school to be better at coping with this stressful situations.

The physiological pattern of the sleep-wake cycle is influenced by external synchronizing agents such as light and social patterns, creating variations in each individual's preferred active and sleep periods. Because of the demands of a 24-h working society, it may be imperative for many people to adapt their sleep patterns (physiologically) to their daily activities. Therefore, we analyzed the difference in sleep patterns and chronobiological parameters between an essentially rural farming and urban small-town populations. We studied 5942 subjects (women, 67.1%, N = 3985; mean age, 44.3 ± 13.1 years), from which the chronotype, circadian sleep pattern, and period of light exposure were collected using the Munich Chronotype Questionnaire (MCTQ). A structured questionnaire was also made for collection of social and demographic information. Compared with the urban population (N = 3427, 57.7%), the rural population (N = 2515, 42.3%) presented a more predominantly early sleep pattern, as determined by the mid-sleep phase (rural: 2.26 ± 1.16; urban: 3.15 ± 1.55; t-test, p < 0.001). We also found less social jetlag (rural: 0.32; urban: 0.55; Mann-Whitney U test, p < 0.001) and higher light-exposure (rural: 9.55 ± 2.31; urban: 8.46 ± 2.85; t test, p < 0.001) in the rural population. Additionally, the rural population presented a higher prevalence of psychiatric disorders (rural: 156, 6.20%; urban: 165, 4.80%; Chi-square, p < 0.05), and a lower prevalence of metabolic diseases (rural: 143, 5.70%; urban: 225, 6.60%; Chi-square, p < 0.05). The significant difference in sleep parameters, chronotype, and light exposure between groups remained after multivariate regression analysis (r(2 )= 0.41, F = 297.19, p < 0.001, β = 1.208). In this study, there was a significant difference between the rural and urban populations in natural light exposure and sleeping patterns. Because of agricultural work schedules, rural populations spend considerable time outside that is an obligation related to work schedules. Our results emphasize the idea that latitude may not be the main factor influencing individual circadian habits. Rather, circadian physiology adapts to differences in exposure to light (natural and artificial) as well as social and work schedules.

No abstract