A quantitative study of test anxiety and its influencing factors among medical and dental students.
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ABSTRACT: Objective
The study was conducted to assess test anxiety and its influencing factors on medical and dental students.Methods
A cross-sectional study was conducted among students from three private and public medical and dental colleges in the Punjab province of Pakistan. The survey included statements about the demographic profile of the study participants and used the Test Anxiety Inventory (TAI) by Spielberger.Results
The study included 680 students with a mean age of 20.93 ± 1.76 years. About half the sample (51.8%) scored high on test anxiety (TAI score > 45), and the mean TAI score was slightly higher for the dental (47.75 ± 11.45) than medical students (46.42 ± 12.79). Female students had a significantly higher mean TAI score (48.45 ± 12.79) than male students (41.85 ± 8.91; p < 0.001). The students from private colleges had a significantly greater test anxiety score (50.15 ± 13.23) than students from public colleges (42.88 ± 9.7; p < 0.001). Students whose parents were graduates from a college or university perceived significantly increased test anxiety than those of parents with no/school education (p < 0.001). A female gender (adjusted odds ratio (AOR) 2.10, 95% CI:1.37, 3.22), being a private college student (AOR 2.88, 95% CI:1.90, 4.38), and having a mother with a college or university education (AOR 2.05, 95% CI: 1.25, 3.35) were significantly associated with high on test anxiety.Conclusion
In our study cohort, test anxiety was common among medical and dental students. A female gender, being a student from a private college, and having a mother with a high education were significantly associated with high test anxiety. The study findings may guide the development of programs that can reduce students' test anxiety and potentially improve their education.
SUBMITTER: Nazir MA
PROVIDER: S-EPMC8046942 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:ObjectiveTo characterise the contributing factors that affect medical students' subspecialty choice and to estimate the extent of influence of individual factors on the students' decision-making process.DesignSystematic review and meta-analysis.MethodsA systematic search of the Cochrane Library, ERIC, Web of Science, CNKI and PubMed databases was conducted for studies published between January 1977 and June 2018. Information concerning study characteristics, influential factors and the extent of their influence (EOI) was extracted independently by two trained investigators. EOI is the percentage level that describes how much each of the factors influenced students' choice of subspecialty. The recruited medical students include students in medical school, internship, residency training and fellowship, who are about to or have just made a specialty choice. The estimates were pooled using a random-effects meta-analysis model due to the between-study heterogeneity.ResultsData were extracted from 75 studies (882 209 individuals). Overall, the factors influencing medical students' choice of subspecialty training mainly included academic interests (75.29%), competencies (55.15%), controllable lifestyles or flexible work schedules (53.00%), patient service orientation (50.04%), medical teachers or mentors (46.93%), career opportunities (44.00%), workload or working hours (37.99%), income (34.70%), length of training (32.30%), prestige (31.17%), advice from others (28.24%) and student debt (15.33%), with significant between-study heterogeneity (p<0.0001). Subgroup analyses revealed that the EOI of academic interests was higher in developed countries than that in developing countries (79.66% [95% CI 70.73% to 86.39%] vs 60.41% [95% CI 43.44% to 75.19%]; Q=3.51, p=0.02). The EOI value of prestige was lower in developed countries than that in developing countries (23.96% [95% CI 19.20% to 29.47%] vs 47.65% [95% CI 34.41% to 61.24%]; Q=4.71, p=0.01).ConclusionsThis systematic review and meta-analysis provided a quantitative evaluation of the top 12 influencing factors associated with medical students' choice of subspecialty. Our findings provide the basis for the development of specific, effective strategies to optimise the distribution of physicians among different departments by modifying these influencing factors.
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