A multi-center cross-sectional study on identification of influencing factors of medical students' emotional engagement in China.

Runzhi Huang, Guoyang Zhang, Zhitong Zhou, Min Lin, Shuyuan Xian, Meiqiong Gong, Huabin Yin, Tong Meng, Xin Liu, Xiaonan Wang, Yue Wang, Wenfang Chen, Chongyou Zhang, Erbin Du, Qing Lin, Hongbin Wu, Zongqiang Huang, Jie Zhang, Dayuan Xu, Shizhao Ji
Author Information
  1. Runzhi Huang: Department of Burn Surgery, the First Affiliated Hospital of Naval Medical University, Shanghai, People's Republic of China.
  2. Guoyang Zhang: Maastricht University School of Health Professions Education, Maastricht, The Netherlands.
  3. Zhitong Zhou: Tongji University School of Medicine, Shanghai, 200092, China.
  4. Min Lin: Mental Health Education and Consultation Center, Chongqing Medical University, 61 Daxuecheng Middle Road, Chongqing, 401331, China. linmin_513@163.com.
  5. Shuyuan Xian: Department of Burn Surgery, the First Affiliated Hospital of Naval Medical University, Shanghai, People's Republic of China.
  6. Meiqiong Gong: Office of Educational Administration, Shanghai University, Shanghai, 200444, China.
  7. Huabin Yin: Department of Orthopedics, School of Medicine, Shanghai General Hospital, Shanghai Jiaotong University, 100 Haining Road, Shanghai, China. yinhuabin@aliyun.com.
  8. Tong Meng: Department of Orthopedics, School of Medicine, Shanghai General Hospital, Shanghai Jiaotong University, 100 Haining Road, Shanghai, China. mengtong@medmail.com.cn.
  9. Xin Liu: Department of Rheumatology and Immunology, Second Affiliated Hospital of Naval Medical University, Shanghai, China. lxsmmu@163.com.
  10. Xiaonan Wang: Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, 10 Xitoutiao, Beijing, 100069, China. hnaywxn@163.com.
  11. Yue Wang: Department of Health Statistics, School of Public Health, Air Force Medical University, No.169, Changle West Road, Xi'an, 710032, China. wangyuek11@126.com.
  12. Wenfang Chen: Faculty of Medicine, Jinggangshan University, 28 Xueyuan Road, Ji'An, 343009, China. 9919970039@jgs.edu.cn.
  13. Chongyou Zhang: Basic Medical College, Harbin Medical University, 157 Baojian Road, Harbin, Heilongjiang, 150081, China. cyzhanghmu@sina.com.
  14. Erbin Du: Frist Clinical Medical College, Mudanjiang Medical University, 66 Tongxiang Street, Mudanjiang, 157011, China. 1748855216@qq.com.
  15. Qing Lin: Department of Human Anatomy, Laboratory of Clinical Applied Anatomy, School of Basic Medical Sciences, Fujian Medical University, 1 Xuefu North Road, Fuzhou, 350122, China. linqing522@126.com.
  16. Hongbin Wu: National Centre for Health Professions Education Development, Peking University, Beijing, 100191, China. wuhongbin@pku.edu.cn.
  17. Zongqiang Huang: Department of Orthopedics, The First Affiliated Hospital of Zhengzhou University, 1 Jianshe East Road, Zhengzhou, 450052, China. gzhuangzq@163.com.
  18. Jie Zhang: Maastricht University School of Health Professions Education, Maastricht, The Netherlands. jiezhang@tongji.edu.cn.
  19. Dayuan Xu: Department of Burn Surgery, the First Affiliated Hospital of Naval Medical University, Shanghai, People's Republic of China. dxdy2014@163.com.
  20. Shizhao Ji: Department of Burn Surgery, the First Affiliated Hospital of Naval Medical University, Shanghai, People's Republic of China. shizhaoji2022@163.com.

Abstract

BACKGROUND: Studies exploring influencing factors of emotional engagement among medical students are scarce. Thus, we aimed to identify influencing factors of medical students' emotional engagement.
METHODS: We carried out a multi-center cross-sectional study among 10,901 medical students from 11 universities in China. The Chinese version of Utrecht Work Engagement Scale-Student version (UWES-S) was used to evaluate emotional engagement level of medical students. The predictors related to engagement level were determined by the logistic regression analysis. Furthermore, we constructed a nomogram to predict emotional engagement level of medical students.
RESULTS: A total of 10,576 sample were included in this study. The mean emotional engagement score was 74.61(± 16.21). In the multivariate logistic regression model, we found that males showed higher engagement level compared with females [odds ratio (OR) (95% confidence interval (CI)): 1.263 (1.147, 1.392), P < 0.001]. Medical students from the second batches of medical universities had higher engagement level and from "Project 985" universities had lower engagement level compared with 211 project universities [OR (95%CI): 1.376 (1.093, 1.733), P = 0.007; OR (95%CI): 0.682 (0.535, 0.868), P = 0.002]. Medical students in grade 4 and grade 2 presented lower engagement level compared with in grade 1 [OR (95%CI): 0.860 (0.752, 0.983), P = 0.027; OR (95%CI): 0.861 (0.757, 0.980), P = 0.023]. Medical students lived in provincial capital cities had higher engagement level compared with in country [OR (95%CI): 1.176 (1.022, 1.354), P = 0.024]. Compared with eight-year emotional duration, medical students in other emotional duration (three-year and four-year) had lower engagement level [OR (95%CI): 0.762 (0.628, 0.924), P = 0.006]. Medical students' engagement level increased with increases of grade point average and interest in studying medicine. Medical students learned by converging style showed lower engagement level [OR (95%CI): 0.827 (0.722, 0.946), P = 0.006] compared with accommodating style. The model showed good discriminative ability (area under curve = 0.778), calibrating ability and clinical utility.
CONCLUSIONS: We identified influencing factors of medical students' emotional engagement and developed a nomogram to predict medical students' emotional engagement level, providing reference and convenience for educators to assess and improve emotional engagement level of medical students. It is crucial for educators to pay more attention to emotional engagement of medical students and adopt effective strategies to improve their engagement level.

Keywords

References

  1. Front Psychol. 2020 Jan 31;11:50 [PMID: 32082219]
  2. Nurse Educ Today. 2017 Feb;49:129-134 [PMID: 27918903]
  3. J Prof Nurs. 2014 Nov-Dec;30(6):502-10 [PMID: 25455332]
  4. Rev Med Chil. 2015 Jul;143(7):930-7 [PMID: 26361031]
  5. J Affect Disord. 2022 Jul 15;309:9-18 [PMID: 35439467]
  6. Int J Environ Res Public Health. 2022 Oct 10;19(19): [PMID: 36232241]
  7. Br J Educ Psychol. 2015 Dec;85(4):498-518 [PMID: 26446905]
  8. Med Educ Online. 2020 Dec;25(1):1742964 [PMID: 32180537]
  9. BMC Med Educ. 2019 Jan 3;19(1):2 [PMID: 30606180]
  10. Nurse Educ Today. 2021 Jul;102:104938 [PMID: 33934039]
  11. Med Educ Online. 2022 Dec;27(1):2100039 [PMID: 35818325]
  12. J Nurs Manag. 2021 Jul;29(5):1016-1025 [PMID: 33400325]
  13. Neurosci Biobehav Rev. 2010 Jul;34(8):1223-33 [PMID: 20153364]
  14. Electron Physician. 2018 Jul 25;10(7):7078-7085 [PMID: 30128099]
  15. BMC Med Educ. 2013 Feb 27;13:33 [PMID: 23446005]
  16. BMC Med Educ. 2016 Jan 16;16:20 [PMID: 26774892]
  17. Am J Occup Ther. 2000 Sep-Oct;54(5):477-83 [PMID: 11006807]
  18. Nurse Educ Pract. 2023 Mar;68:103604 [PMID: 36924664]
  19. Front Psychiatry. 2021 Dec 23;12:755503 [PMID: 35002796]
  20. Front Psychol. 2020 Jan 15;10:2858 [PMID: 32010007]
  21. PLoS One. 2022 Sep 15;17(9):e0274229 [PMID: 36107873]
  22. Medicine (Baltimore). 2018 Apr;97(15):e0326 [PMID: 29642167]
  23. JAMA. 2016 Dec 6;316(21):2195-2196 [PMID: 27923076]
  24. Med Teach. 2020 Mar;42(3):299-305 [PMID: 31679399]
  25. BMC Oral Health. 2021 Aug 16;21(1):402 [PMID: 34399752]
  26. Med Teach. 2012;34(2):e102-15 [PMID: 22289008]
  27. J Youth Adolesc. 2016 Jun;45(6):1192-207 [PMID: 26759132]
  28. Front Public Health. 2022 Apr 29;10:825279 [PMID: 35570958]
  29. Adv Med Educ Pract. 2021 Apr 19;12:351-369 [PMID: 33907486]

Grants

  1. 81702659; 81772856; 82173168; 82073207/National Natural Science Foundation of China
  2. 81801620/National Natural Science Foundation of China
  3. 81930057, 81772076, 81971836/National Natural Science Foundation of China
  4. 2017YQ054; 2017Y0117/Youth Fund of Shanghai Municipal Health Planning Commission
  5. YG2017MS26/Interdisciplinary Program of Shanghai Jiao Tong University
  6. 2018094/Shanghai Talent Development Fund
  7. 21QA1407500/Shanghai Rising-Star Program
  8. 201602031/Henan medical science and technology research project
  9. SBGJ202002031/Key project of provincial and ministerial co-construction of Henan Medical Science and Technology
  10. 201940306/Shanghai Municipal Health Commission
  11. 2019-I2M-5-076/CAMS Innovation Fund for Medical Sciences
  12. 2018-CGPZ-B03/Deep Blue Talent Project of Naval Medical University, 234 Academic Climbing Programme of Changhai hospital and Achievements Supportive Fund

MeSH Term

Male
Female
Humans
Students, Medical
Cross-Sectional Studies
Universities
Learning
Emotions
China

Word Cloud

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