Predictive factors of quality of life among medical students: results from a multicentric study.

BACKGROUND: Medical students have a worse perception of Quality of Life (QoL) and a high prevalence of psychosocial suffering when compared to the general population. The objective of this study was to investigate associated factors with Quality of Life of Brazilian medical students from an exploratory analysis in a cross-sectional study described in accordance with the STROBE (Strengthening the Reporting of Observational studies in Epidemiology) guidelines. METHODS: This is a cross-sectional and multicenter study with national sample randomized by sex and year of the course. Data were collected between August 2011 and August 2012, using an electronic platform (VERAS platform). Our outcomes included: personal quality of life (QoLp) and quality of life related to medical course activities (QoLmc), both measured using a score ranging from 0 (worst) to 10 (best). Variables as predictors: the World Health Organization Quality of Life Assessment abbreviated version (WHOQOL-BREF); VERAS-Q (a questionnaire created to evaluate the QoL of students in health professions); Epworth Sleepiness Scale (ESS), Pittsburgh Sleep Quality Index (PSQI), Beck Depression Inventory (BDI), State-Trait Anxiety Inventory (STAI), Maslach Burnout Inventory (MBI), Resilience Scale (RS-14), Interpersonal Reactivity Multidimensional Scale (IRMS) and Dundee Ready Education Environment Measure (DREEM). RESULTS: Our sample is comprised of 1350 (81.8%) medical students. When comparing predictors and both quality of life outcome measures, we found a negative correlation between QoL and the BDI, PSQI and ESS scores. Through a multiple linear regression mode we identified the median of significant predictors to higher QoL. We then run a tree regression model that demonstrated that the VERAS-Q-physical health domain (a domain assessing self-care, self-perception of health, sleep, leisure, physical activity and appearance) was the most important factor predicting QoL. Students with a VERAS-Q-physical health score ≥ 60.9 and a VERAS-Q-time management (address the management of the student's time, free time and whether he can dedicate himself to other activities besides the course) score ≥ 55.7 presented the best QoLmc (score: 8.08-9.63%). Students with a VERAS-Q-physical health score ≥ 79.7 presented the highest QoLp (score 8.93-8.74%). CONCLUSION: Physical symptoms, self-perception of health and self-care assessed by the VERAS-Q physical domain had association with both final outcomes. Time management seems to have a protective role for better Quality of Life. These variables should be taken in consideration when designing interventions to improve Quality of Life among medical students.

Leisure time physical activity and quality of life in medical students: results from a multicentre study.

BACKGROUND/AIM: We evaluated the association between leisure time physical activity (PA) and quality of life (QoL) in medical students. Our hypothesis was that there was a positive association between volume of PA and various domains of perception of QoL. METHODS: Data were evaluated from a random sample of 1350 medical students from 22 Brazilian medical schools. Information from participants included the WHO Quality of Life questionnaire-short form (WHOQOL-BREF), a questionnaire specifically designed to evaluate QoL in medical students (VERAS-Q) and questions for both global QoL self-assessment and leisure time PA. According to the amount of metabolic equivalents (METs) spend during PA, volunteers were divided into four groups, according to the volume of PA: (a) no PA; (b) low PA, ≤540 MET min/week; (c) moderate PA, from 541 to 1260 MET min/week and (d) high PA, > 1261 MET min/week. RESULTS: Forty per cent of the medical students reported no leisure time PA (46.0% of females and 32.3% of males). In contrast, 27.2% were classified in the group of high PA (21.0% of females and 34.2% of males). We found significant associations between moderate and high levels of PA and better QoL for all measurements. For low levels of PA, this association was also significant for most QoL measurements, with the exceptions of WHOQOL physical health (p=0.08) and social relationships (p=0.26) domains. CONCLUSION: We observed a strong dose-effect relationship between the volume of leisure time PA and QoL in both male and female medical students.

Relationship among Medical Student Resilience, Educational Environment and Quality of Life.

CONTEXT: Resilience is a capacity to face and overcome adversities, with personal transformation and growth. In medical education, it is critical to understand the determinants of a positive, developmental reaction in the face of stressful, emotionally demanding situations. We studied the association among resilience, quality of life (QoL) and educational environment perceptions in medical students. METHODS: We evaluated data from a random sample of 1,350 medical students from 22 Brazilian medical schools. Information from participants included the Wagnild and Young's resilience scale (RS-14), the Dundee Ready Educational Environment Measure (DREEM), the World Health Organization Quality of Life questionnaire - short form (WHOQOL-BREF), the Beck Depression Inventory (BDI) and the State-Trait Anxiety Inventory (STAI). RESULTS: Full multiple linear regression models were adjusted for sex, age, year of medical course, presence of a BDI score ≥ 14 and STAI state or anxiety scores ≥ 50. Compared to those with very high resilience levels, individuals with very low resilience had worse QoL, measured by overall (ß=-0.89; 95% confidence interval =-1.21 to -0.56) and medical-school related (ß=-0.85; 95%CI=-1.25 to -0.45) QoL scores, environment (ß=-6.48; 95%CI=-10.01 to -2.95), psychological (ß=-22.89; 95%CI=-25.70 to -20.07), social relationships (ß=-14.28; 95%CI=-19.07 to -9.49), and physical health (ß=-10.74; 95%CI=-14.07 to -7.42) WHOQOL-BREF domain scores. They also had a worse educational environment perception, measured by global DREEM score (ß=-31.42; 95%CI=-37.86 to -24.98), learning (ß=-7.32; 95%CI=-9.23 to -5.41), teachers (ß=-5.37; 95%CI=-7.16 to -3.58), academic self-perception (ß=-7.33; 95%CI=-8.53 to -6.12), atmosphere (ß=-8.29; 95%CI=-10.13 to -6.44) and social self-perception (ß=-3.12; 95%CI=-4.11 to -2.12) DREEM domain scores. We also observed a dose-response pattern across resilience level groups for most measurements. CONCLUSIONS: Medical students with higher resilience levels had a better quality of life and a better perception of educational environment. Developing resilience may become an important strategy to minimize emotional distress and enhance medical training.