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Burnout, quality of life, motivation, and academic achievement among medical students: A person-oriented approach.
Perspectives on Medical Education 2017 April
BACKGROUND: The aim of this study was to identify burnout and quality of life profiles of medical students and determine their associations with academic motivation and achievement on progress tests using a person-oriented approach.
METHODS: Medical students (n = 670) in Year 3 to Year 5 at the University of Auckland were classified into three different profiles as derived from a two-step cluster analysis using World Health Organization Quality of Life-BREF scores and Copenhagen Burnout Inventory scores. The profiles were used as independent variables to assess differences in academic motivation and achievement on progress tests using a multivariate analysis of co-variance and repeated measures analysis of co-variance methods.
RESULTS: The response rate was 47%. Three clusters were obtained: Higher Burnout Lower Quality of Life (n = 62, 20%), Moderate Burnout Moderate Quality of Life (n = 131, 41%), and Lower Burnout Higher Quality of Life (n = 124, 39%). After controlling for gender and year level, Higher Burnout Lower Quality of Life students had significantly higher test anxiety (p < 0.0001) and amotivation scores (p < 0.0001); and lower intrinsic motivation (p < 0.005), self-efficacy (p < 0.001), and progress test scores (p = 0.03) compared with the other profiles.
CONCLUSION: Burnout and Quality of Life profiles of medical students are associated with differences in academic motivation and achievement over time.
METHODS: Medical students (n = 670) in Year 3 to Year 5 at the University of Auckland were classified into three different profiles as derived from a two-step cluster analysis using World Health Organization Quality of Life-BREF scores and Copenhagen Burnout Inventory scores. The profiles were used as independent variables to assess differences in academic motivation and achievement on progress tests using a multivariate analysis of co-variance and repeated measures analysis of co-variance methods.
RESULTS: The response rate was 47%. Three clusters were obtained: Higher Burnout Lower Quality of Life (n = 62, 20%), Moderate Burnout Moderate Quality of Life (n = 131, 41%), and Lower Burnout Higher Quality of Life (n = 124, 39%). After controlling for gender and year level, Higher Burnout Lower Quality of Life students had significantly higher test anxiety (p < 0.0001) and amotivation scores (p < 0.0001); and lower intrinsic motivation (p < 0.005), self-efficacy (p < 0.001), and progress test scores (p = 0.03) compared with the other profiles.
CONCLUSION: Burnout and Quality of Life profiles of medical students are associated with differences in academic motivation and achievement over time.
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