Introduction The Copenhagen Burnout Inventory (CBI) is a recent burnout measure with a focus on fatigue and exhaustion. It has three factors: personal burnout, work-related burnout, and client-related burnout. This study aimed to translate the CBI into the Malay language and to validate the translated version among a group of medical students. Methods The forward–backward translation was performed as per standard guidelines. The Malay version of CBI (CBI-M) was distributed to 32 medical students to assess face validity and later to 452 medical students to assess construct validity. The data analysis was performed by Microsoft Excel, SPSS and AMOS. Results The face validity index of CBI-M was more than 0.8. The three factors of CBI-M achieved good levels of goodness-of-fit indices (Cmin/df = 2.99, RMSEA = 0.066, GFI = 0.906, CFI = 0.938, NFI = 0.910, TLI = 0.925). The composite reliability values of the three factors ranged from 0.84 to 0.87. The Cronbach's alpha values of the three factors ranged from 0.83 to 0.87. Conclusions This study supports the face and construct validity of the CBI-M with a high internal consistency.

Introduction: The academic life of medical students can be considered as psychological toxic. About half of United States medical students experience burnout and more than 25% experience depression. This study aimed to determine the prevalence of burnout among medical students in a Malaysian medical school and its associated factors. Methods: This is a cross sectional study of 452 medical students from Universiti Sains Malaysia (USM). Copenhagen Burnout Inventory was distributed via Google Forms through Facebook Messenger. Ethical approval was obtained from the Human Research Ethics Committee USM. Data were collected via Google Sheets. Each respondent only submitted one Google Form as no resubmission link was provided once completed Google Form was submitted. Result: The prevalence of burnout among USM medical students was 67.9%. Personal burnout was the highest (81.6%), followed by work-related burnout (73.7%) and client-related burnout (68.6%). The analysis showed that regardless of year of study, gender and ethnicity (all P > 0.05), USM medical students were vulnerable to burnout. Conclusion: The prevalence of burnout among USM medical students was high and the most prevalent type of burnout was personal burnout. Therefore, burnout among medical students should be a concern and must be addressed to prevent subsequent unwanted consequences.

This study aimed to translate Oldenburg Burnout Inventory (OLBI) into Malay language, and test its response process (face validity) and internal structure (factor structure and internal consistency). To the author's knowledge, OLBI is not yet validated in Malay language, thus this study aimed to produce a validated Malay version of OLBI (OLBI-M) in order to measure burnout among the healthcare learner population in Malaysia. OLBI has great potentials mainly due to its accessibility and free of any cost to use it, thus might promote more researchers to conduct burnout research in Malaysia. The forward-backward translation was performed as per standard guideline. The OLBI-M was distributed to 32 medical students to assess face validity and later to 452 medical students to assess construct validity. Data analysis was performed by Microsoft Excel, Statistical Package for the Social Sciences (SPSS), and Analysis of Moment Structures (AMOS). The face validity index of OLBI-M was more than 0.70. The two factors of CBI-M achieved good level of goodness of fit indices (Cmin/df = 3.585, RMSEA = 0.076, GFI = 0.958, CFI = 0.934, NFI = 0.912, TLI = 0.905) after removal of several items. The composite reliability values of the two factors ranged from 0.71 to 0.73. The Cronbach's alpha values of the three factors ranged from 0.70 to 0.74. This study shows OLBI-M is a reliable and valid tool to measure burnout in medical students. Future burnout studies in Malaysia are highly recommended to utilise OLBI-M. However, it is crucial for further validity to be carried out to verify the credential of OLBI-M.