Dataset Information

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

ABSTRACT:

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.

SUBMITTER: Miguel AQC

PROVIDER: S-EPMC7905855 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

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Publications

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

Miguel Alice de Queiroz Constantino AQC Tempski Patricia P Kobayasi Renata R Mayer Fernanda B FB Martins Milton A MA

BMC psychology 20210225 1

<h4>Background</h4>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.<h4>Methods</h4>This is a cross ...[more]

PMID: 33632321

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Project description:BackgroundVarious sociodemographic factors can affect the quality of life of medical students and interfere in their ability to study. A deeper understanding of these factors may facilitate improvements in learning and retention of medical students.MethodsWe conducted a cross-sectional study of 405 medical students, representing 65.3% of the total student body (years 1-6), at a private medical school in São Paulo, Brazil. Among the entire study group, 177 students (43.7%) were male, and 228 (56.3%) were female. The mean age was 23.55 years (SD = 3.98 years, range: 18-40). The World Health Organization Quality of Life-Biomedical Research and Education Facility (WHOQOL-BREF) scale was used to evaluate the following sociodemographic factors: age, sex, academic year, daily traveling time, housing conditions, smoking, weight, height, participant's and his/her parents' education background, students who had a degree or not and religious beliefs. The reliability of the WHOQOL-BREF was evaluated using Cronbach's analysis, and the association of sociodemographic factors with quality of life was examined using multivariate regression analysis.Main resultsQuality of life was significantly higher in medical students with religious beliefs (β 0.14 for psychological domain; β 0.11 for environmental domain) when compared with that in those with no religious beliefs. BMI was negative associated with QOL in medical students (β -0.11 for physical domain; β -18.9 for the psychological domain). In both male and female students, longer daily traveling time was negative related to QOL (β -0.11 for environmental domain). Having at least one parent who was a doctor was associated with a better quality of life (β 0.17 for environmental domain). Male students presented with significantly higher mean scores for three of the four domains evaluated (β 0.20 for physical domain; β 0.25 for psychological domain; β 0.14 for social domain).ConclusionThis study has provided novel insights into the effects of sociodemographic factors, physical traits, and religious beliefs on the quality of life of medical students. These findings may facilitate improvements in physical, psychological, and social support for medical students at a critical stage in their training, thereby providing tools for student better adjustment to medical school.

Project description:ObjectiveTo evaluate the quality of life (QOL) of overweight and obese middle or high school students and identify relevant factors influencing their QOL scores.Methods716 students were recruited from 6 middle or high schools in Hangzhou, China. The Chinese version of the Youth Quality of Life Instrument-Weight Module (YQOL-W) was self administered. The YQOL-W scores were compared among different BMI groups, gender, educational status, annual household income, parental education and recruitment community using t test or one-way analysis of variance. The independent association of these variables with QOL among overweight and obese students was examined using multivariable linear regression modeling.ResultsOverweight and obese students reported lower total scores, self, social and environment scores than their normal weight peers (all P<0.001). The QOL of overweight and obese middle and high school students was associated with BMI value, gender, educational status, parental education, and recruitment community. Girls had lower total scores, self, social and environment domain scores than boys (all P<0.001); high school students had lower total and three domain scores than middle school students (all P<0.05). Students whose fathers had higher education reported higher total scores, self and social scores than students with less educated fathers (all P<0.05). Students whose mothers had higher education reported higher environment scores than students with less educated mothers (P = 0.01). Students from migrant communities reported significantly lower total scores, self and social scores than those from rural communities (all P<0.05), but comparable scores with those from urban communities (P>0.05). Students from migrant communities reported comparable environment scores with those from rural and urban communities (P>0.05).ConclusionsOverweight and obesity have negative effects on students' quality of life. Therefore weight specific QOL could be included in weight reduction interventions as a relevant outcome.

Project description:BACKGROUND: The negative impact of medical school on students' general and mental health has often been reported. Compared to students of other subjects, or employed peers, medical students face an increased risk of developing depression, anxiety and burnout. While pathogenetic factors have been studied extensively, less is known about health-promoting factors for medical students' health. This longitudinal study aims to identify predictors for maintaining good general and mental health during medical education. We report here the design of the study and its baseline results. METHODS: We initiated a prospective longitudinal cohort study at the University of Lübeck, Germany. Two consecutive classes of students, entering the university in 2011 and 2012, were recruited. Participants will be assessed annually for the duration of their course. We use validated psychometric instruments covering health outcomes (general and mental health) and personality traits, as well as self-developed, pre-tested items covering leisure activities and sociodemographic data. RESULTS: At baseline, compared to students of STEM (science, technology, engineering, and mathematics) subjects (n = 531; 60.8% response rate), a larger proportion of medical students (n = 350; 93.0% response rate) showed good general health (90.9% vs. 79.7%) and a similar proportion was in good mental health (88.3% vs. 86.3%). Medical students scored significantly higher in the personality traits of extraversion, conscientiousness, openness to experience and agreeableness. Neuroticism proved to be a statistically significant negative predictor for mental health in the logistic regression analyses. Satisfaction with life as a dimension of study-related behaviour and experience predicted general health at baseline. Physical activity was a statistically significant predictor for general health in medical students. CONCLUSIONS: Baseline data revealed that medical students reported better general and similar mental health compared to STEM students. The annual follow-up questionnaires, combined with qualitative approaches, should clarify wether these differences reflect a higher resilience, a tendency to neglect personal health problems - as has been described for physicians - before entering medical school, or both. The final results may aid decision-makers in developing health-promotion programmes for medical students.

Dataset Information

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

Background

Methods

Results

Conclusion

Publications

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

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