1Department of Radiology, Masan University, Changwon, Korea
2Department of Radiology, Seoul National University Hospital, Seoul, Korea
3Department of Radiological Technology, Daegu Health College, Daegu, Korea
4Department of Radiological Science, Daegu Catholic University, Daegu, Korea
5Department of Radiological Science, College of Health Medical Science, Cheongju University, Cheongju, Korea
6Department of Radiologic Technology, Chungbuk Health & Science University, Cheongju, Korea
7Department of Radiological Technology, Gwangju Health University, Gwangju, Korea
8Department of Radiology, Dong-A University Hospital, Busan, Korea
9Department of Nuclear Medicine, Seoul National University Hospital, Seoul, Korea
10Department of Radiology, Yonsei University College of Medicine, Seoul, Korea
11Department of Radiological Science, Dongseo University, Busan, Korea
Editor: Yera Hur, Hallym University, Korea
• Received: October 20, 2023 • Accepted: November 15, 2023© 2023 Korea Health Personnel Licensing Examination Institute
This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors’ contributions
Conceptualization: YSY, JSK. Data curation: HMP, ESK, KBL, SHK, WSY. Methodology/formal analysis/validation: DMK, PKC, SHK, MIB, JEK, GBK, YSY, JSK. Project administration: JSK. Funding acquisition: JSK. Writing–original draft: HMP, ESK. Writing–review & editing: HMP, ESK, DMK, PKC, SHK, KBL, SHK, MIB, WSY, JEK, GBK, YSY, JSK.
Conflict of interest
No potential conflict of interest relevant to this article was reported.
Funding
This work was supported by the Korea Health Personnel Licensing Examination Institute (Fundref ID: RE3-0000-00) research fund (2023).
Data availability
Data files are available from Harvard Dataverse: https://doi.org/10.7910/DVN/5PUZAX
Dataset 1. The data file contains all university student surveys.
Characteristic | Value |
---|---|
Survey period | 2023. 5. 1.–2023. 5. 31. |
Number of participating respondents (persons) | 682 |
Age distribution of respondents (yr) | 18–53 |
Gender of respondents (persons) | |
Male | 404 |
Female | 278 |
University academic system and distribution of years (persons) | |
3-Year university | |
1st year | 151 |
2nd year | 169 |
3rd year | 243 |
4th year (advanced major) | 11 |
4-Year university | |
1st year | 28 |
2nd year | 21 |
3rd year | 30 |
4th year | 29 |
Foot notes