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DOI 10.1186/s12909-025-06652-7

Медицинская библиотека · BMC medical education · 2025

Nonacademic predictors of China medical licensing examination.

Sun Jie, Xie Yingying, Zhang Ningnannan, Cheng Jingliang, Wang Meiyun, Zhang Bing, Zhu Wenzhen, Zhang Hui, Qiu Shijun, Xu Xiaojun, Yu Yongqiang, Han Tong, Geng Zuojun, Liao Weihua, Gao Bo, Qin Wen, Liu Feng, Liang Meng, Xu Qiang, Fu Jilian, Xu Jiayuan, Liu Mengge, Zhang Peng, Li Wei, Shi Dapeng, Wang Caihong, Zuo Xi-Nian, Zhang Quan, Chen Feng, Li Jiance, Yan Zhihan, Shen Wen, Miao Yanwei, Xian Junfang, Zhang Longjiang, Xu Kai, Ye Zhaoxiang, Zhang Jing, Cui Guangbin, Yu Chunshui, CHIMGEN Consortium

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Аннотация

BACKGROUND

National Medical Licensing Examination (NMLE) is the entrance exam for medical practice in China, and its general medical knowledge test (GMKT) evaluates abilities of medical students to comprehensively apply medical knowledge to clinical practice. This study aimed to identify nonacademic predictors of GMKT performance, which would benefit medical schools in designing appropriate strategies and techniques to facilitate the transition from medical students to qualified medical practitioners.

METHODS

In 1202 medical students, we conducted the deletion-substitution-addition (DSA) and structural equation model (SEM) analyses to identify nonacademic predictors of GMKT performance from 98 candidate variables including early life events, physical conditions, psychological and personality assessments, cognitive abilities, and socioeconomic conditions. The candidate variables were assessed using psychometrically or cognitively validated and accepted instruments.

RESULTS

We identified seven nonacademic predictors for GMKT performance. Body mass index (BMI) and working memory reaction time showed direct negative effects on GMKT performance. Psychological and personality features (conscientiousness, state anxiety, and openness to experience) indirectly affected GMKT performance via BMI, while socioeconomic conditions (father's education and mother's occupation) indirectly affected GMKT performance by influencing psychological and personality features and further BMI.

CONCLUSION

The identified nonacademic predictors for GMKT performance and their pathways may be useful for improving medical education by strengthening favorable and weakening, rectifying, or compensating unfavorable factors that are modifiable.

Для цитирования: Sun Jie, Xie Yingying, Zhang Ningnannan, Cheng Jingliang, Wang Meiyun, Zhang Bing, Zhu Wenzhen, Zhang Hui, Qiu Shijun, Xu Xiaojun, Yu Yongqiang, Han Tong, Geng Zuojun, Liao Weihua, Gao Bo, Qin Wen, Liu Feng, Liang Meng, Xu Qiang, Fu Jilian, Xu Jiayuan, Liu Mengge, Zhang Peng, Li Wei, Shi Dapeng, Wang Caihong, Zuo Xi-Nian, Zhang Quan, Chen Feng, Li Jiance, Yan Zhihan, Shen Wen, Miao Yanwei, Xian Junfang, Zhang Longjiang, Xu Kai, Ye Zhaoxiang, Zhang Jing, Cui Guangbin, Yu Chunshui, CHIMGEN Consortium. Nonacademic predictors of China medical licensing examination.. BMC medical education. 2025. DOI: 10.1186/s12909-025-06652-7.

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