Background: Self-esteem is vital to living a happy, confident and content life. Medical students experience various forms of stress due to academic, financial and social pressures which could affect their levels of self-esteem. This study aims to study the status of self-esteem among undergraduates of a medical college at Tribhuvan University, Nepal. Methods: After receiving the ethical approval from the Institutional Review Committee (IRC) of NAIHS; we conducted a descriptive cross-sectional study among the first- to fifth-year medical students from December 2020 to April 2021. 190 were selected for the study using a stratified random sampling technique. This study used the Rosenberg self-esteem scale to measure self–esteem of the participants. A Google Forms questionnaire was sent to the participants via email. Then, the data obtained were entered in the Google sheet and later analyzed using SPSS 27. A Chi-square test was used to identify potential differences in self-esteem scores among different variables. A p-value of < 0.05 was considered statistically significant. Results: This study included a total of 180 participants, among which, 18.9% (13.19% to 24.61%; at 95% CI) students showed low self -esteem. 74.4% (68.02% to 80.78%; at 95% CI) students had normal self-esteem and 6.7% (3.05% to 10.35%; at 95% CI) students had high self-esteem. The mean self-esteem score was 19.19 (15.01 to 23.37; at 95% CI). Female participants suffered more than males from low self-esteem, and third-year students had the highest percentage of low self-esteem (30.77%). Conclusion: The majority (74.4%) of medical students had normal self-esteem. However, 18.9% students had low self-esteem, among which, third-year students suffered the most (30.77%). Likewise, females exhibited higher prevalence of low self-esteem compared to males. Interventions to boost the level of self-esteem should be carried out to help medical students become confident and efficient doctors.
No abstract
Classifying images helps computers identify more things that humans can see. to identify the picture in the same way a person would. Despite widespread use, issues with the current conventional system's categorization accuracy, adaptability, and impact remain unsatisfactory. Therefore, deep learning has been suggested for image categorization as a means to both address these issues and boost accuracy. In this article, we introduce the fundamental ideas behind picture classification using deep learning, review the several algorithms that may be used for this task, and then examine the benefits of utilizing deep learning for this task, as well as the numerous applications that make use of this technique.
Background: Self-esteem is vital to living a happy, confident and content life. Medical students experience various forms of stress due to academic, financial and social pressures which could affect their levels of self-esteem. This study aims to study the status of self-esteem among undergraduates of a medical college at Tribhuvan University, Nepal. Methods: After receiving the ethical approval from the Institutional Review Committee (IRC) of NAIHS; we conducted a descriptive cross-sectional study among the first- to fifth-year medical students from December 2020 to April 2021. 190 were selected for the study using a stratified random sampling technique. This study used the Rosenberg self-esteem scale to measure self–esteem of the participants. A Google Forms questionnaire was sent to the participants via email. Then, the data obtained were entered in the Google sheet and later analyzed using SPSS 27. A Chi-square test was used to identify potential differences in self-esteem scores among different variables. A p-value of < 0.05 was considered statistically significant. Results: This study included a total of 180 participants, among which, 18.9% (13.19% to 24.61%; at 95% CI) students showed low self -esteem. 74.4% (68.02% to 80.78%; at 95% CI) students had normal self-esteem and 6.7% (3.05% to 10.35%; at 95% CI) students had high self-esteem. The mean self-esteem score was 19.19 (15.01 to 23.37; at 95% CI). Female participants suffered more than males from low self-esteem, and third-year students had the highest percentage of low self-esteem (30.77%). Conclusion: The majority (74.4%) of medical students had normal self-esteem. However, 18.9% students had low self-esteem, among which, third-year students suffered the most (30.77%). Likewise, females exhibited higher prevalence of low self-esteem compared to males. Interventions to boost the level of self-esteem should be carried out to help medical students become confident and efficient doctors.
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