Similar Publications

Nonacademic predictors of China medical licensing examination.

BMC Med Educ

January 2025

Department of Radiology and Tianjin Key Lab of Functional Imaging and Tianjin Institute of Radiology and State Key Laboratory of Experimental Hematology, Tianjin Medical University General Hospital, Tianjin, 300052, China.

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.

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Relationship Between Ethnic Essentialism and Psychological Compatibility: Roles of Ethnic Identity and Self-Construal.

Behav Sci (Basel)

December 2024

Centre for Studies of Education and Psychology of Ethnic Minorities in Southwest China, Southwest University, Chongqing 400715, China.

We examined the impact of ethnic essentialism on psychological compatibility among minority and Han Chinese college students and investigated the roles of ethnic identity and self-construal. A moderated mediator analysis was used and a multigroup comparison of the moderated mediator model across ethnic groups was conducted. The results indicate that ethnic essentialism significantly and negatively predicts psychological compatibility.

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Integrating EPSOSA-BP neural network algorithm for enhanced accuracy and robustness in optimizing coronary artery disease prediction.

Sci Rep

December 2024

The Key Laboratory for Computer Systems of State Ethnic Affairs Commission, School of Computer and Artificial Intelligence, Southwest Minzu University, Chengdu, 610041, China.

Coronary artery disease represents a formidable health threat to middle-aged and elderly populations worldwide. This research introduces an advanced BP neural network algorithm, EPSOSA-BP, which integrates particle swarm optimization, simulated annealing, and a particle elimination mechanism to elevate the precision of heart disease prediction models. To address prior limitations in feature selection, the study employs single-hot encoding and Principal Component Analysis, thereby enhancing the model's feature learning capability.

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Background: Sex workers' risk of violence and ill-health is shaped by their work environments, community and structural factors, including criminalisation.

Aim: We evaluated the impact of removing police enforcement on sex workers' safety, health and access to services.

Design: Mixed-methods participatory study comprising qualitative research, a prospective cohort study, mathematical modelling and routine data collation.

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Examining Systemic and Interpersonal Bias in Violence Risk Assessments of Patients in Acute Psychiatric Care.

Psychiatr Serv

December 2024

Dalla Lana School of Public Health (Dharma, Bondy), Department of Anthropology (Sikstrom, Muirhead), and Department of Psychiatry (Zaheer, Maslej), University of Toronto, Toronto; Krembil Centre for Neuroinformatics (Dharma, Sikstrom, Muirhead, Maslej) and General Adult Psychiatry and Health Systems Division (Zaheer), Centre for Addiction and Mental Health, Toronto.

Article Synopsis
  • The study investigates biases in assessing violence risk among psychiatric patients, particularly influenced by social determinants of health like race, gender, and admission type.
  • It analyzed over 12,000 patient records from a Canadian psychiatric hospital, revealing that males and individuals from minority racial-ethnic backgrounds were often deemed high risk despite not becoming violent.
  • The findings suggest that factors such as the method of admission (e.g., police versus self-admission) and housing instability significantly impact risk assessments, indicating a need to address these systemic issues to improve care equity.
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