Search

The National License Examination step 1 (NLE1), which tests basic medical sciences knowledge in Thailand, is considered to be tough and stressful for medical students due to the large amount of content. This study aimed to determine factors influencing the NLE1 score (NLE1S). The NLE1S, academic achievement, and class attendance were obtained officially. Other factors, including study habits, were obtained via a questionnaire, with 81.97% (241/294) being returned. Students were divided into four groups according to the central passing score and Z-score of the NLE1S, including the fail (<52%; n = 13), low-pass (52 to <70%; n = 121), high-pass (70 to <80%; n = 89), and excellent (=80%; n = 18) groups. Men had higher NLE1S (P < 0.001) and comprehensive examination scores (P < 0.001) than women. Students with high motivation to study medicine had higher NLE1S. Daily preparation time (h/day) was lower, but stress was higher, in the fail group. In the excellent group, internet for academic use and achievement of study targets were higher; internet for nonacademic use, instance of absence, and stress were lower; and check-in time was earlier. The NLE1S had strong positive correlations with the comprehensive examination score and academic achievement during preclinical studies. By setting the NLE1S as a dependent variable in multivariate regression analyses, models of significant interactions were observed by setting behavioral factors, the comprehensive examination score, and academic achievement during a regular class as independent variables. Thus exhibiting good study habits and showing good academic performance throughout preclinical studies should be encouraged among students to achieve a good NLE1S.

The relationships among the scores of major subjects taught in the first preclinical year of a Thai medical school, previous academic achievements, and daily life activities are rarely explored. We therefore performed an exploratory study identifying various factors possibly related to the educational scores of these medical students. Questionnaires were sent out to all first preclinical year medical students, with 79.8% being returned (245/307 questionnaires). Positive correlations were revealed between the premedical year grade point average (pre-MD GPA) and anatomy, physiology, and biochemistry scores ("R = 0.664, 0.521, and 0.653, respectively, "P" < 0.001 for all) by Pearson's method. Using multiple linear regression analysis, anatomy scores could be predicted by pre-MD GPA, student satisfaction with anatomy, the percentage of expected reading, monthly earnings, reading after class and near exam time, and duration of sleeping periods near exam time ("R" = 0.773, R[superscript 2] = 0.598, "P" < 0.001). Physiology scores could be estimated by pre-MD GPA, the percentage of expected reading, monthly earnings, and percentage of those who fell asleep during class and near exam time ("R" = 0.722, "R"[superscript 2] = 0.521, "P" < 0.001). Biochemistry scores could be calculated by pre-MD GPA, the percentage of expected reading, motivation to study medicine, student satisfaction with biochemistry, and exam performance expectations ("R" = 0.794, "R"[superscript 2]= 0.630, "P" < 0.001). In conclusion, pre-MD GPA and the percentage of expected reading are factors involved in producing good academic results in the first preclinical year. Anatomy and biochemistry, but not physiology, scores are influenced by satisfaction.