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1Department of Surgery, Seoul National University Bundang Hospital, Seongnam, Korea
2Department of Medicine, Seoul National University College of Medicine, Seoul, Korea
3Department of Applied Artificial Intelligence, Sungkyunkwan University, Seoul, Korea
4Colorectal Division of General Surgery, Dongnam Institute of Radiological and Medical Sciences, Busan, Korea
5Department of Surgery, Yeungnam University College of Medicine, Daegu, Korea
6Department of Colorectal Surgery, Ajou University School of Medicine, Suwon, Korea
7Colorectal Cancer Center, Kyungpook National University Chilgok Hospital, Daegu, Korea
8365 Hang Surgical Clinic, Seoul, Korea
9Seoul DHU Surgery Clinic, Seoul, Korea
10Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
11Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
© 2024 The Korean Society of Coloproctology
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Conflict of interest
No potential conflict of interest relevant to this article was reported.
Funding
This study was funded by the Korean Society of Coloproctology.
Acknowledgments
The authors express their gratitude to the voluntary participants of the 2022 Gold Ribbon Campaign.
Author contributions
Conceptualization: HKO, YBC, Chang Woo K, Chan Wook K; Data curation: TGL, GHS, HA, ECH, SH, KHS; Formal analysis: TGL, GHS, SH, KHS; Funding acquisition: HKO, YBC, ECH, Chang Woo K, Chan Wook K; Investigation: TGL, GHS, HA, SK, HJK, SH, KHS; Methodology: HKO, YBC, MB, ECH, SK; Project administration: HKO, YBC, HJK, SK; Resources: MB, ECH, KHS Software: MB, SH, KHS; Supervision: HKO, YBC, Chang Woo K, Chan Wook K; Validation: ECH, SK, HJK, SH; Visualization: MB, ECH, SK, Chang Woo K, HJK, SH, KHS, Chan Wook K; Writing–original draft: TGL, GHS, HA; Writing–review & editing: HKO, MB, ECH, SK, Chang Woo K, HJK, SH, KHS, Chan Wook K, YBC. All authors read and approved the final manuscript.
Characteristic | Total (n = 455) | Age (%) |
P-value | ||
---|---|---|---|---|---|
< 50 yr (n = 397) | ≥ 50 yr (n = 58) | ||||
Sex | 0.110 | ||||
Female | 256 | 229 (89.5) | 27 (10.5) | ||
Male | 199 | 168 (84.4) | 31 (15.6) | ||
Previous campaign participation | 0.005 | ||||
No | 361 | 323 (89.5) | 38 (10.5) | ||
Yes | 94 | 74 (78.7) | 20 (21.3) | ||
Route of campaign participation | |||||
Friend or acquaintance ecommendation | 98 | 86 (87.8) | 12 (12.2) | ||
98 | 89 (90.8) | 9 (9.2) | |||
77 | 67 (87.0) | 10 (13.0) | |||
Online newspaper | 71 | 59 (83.1) | 12 (16.9) | ||
ZEP bannera | 40 | 37 (92.5) | 3 (7.5) | ||
Poster in hospital | 30 | 27 (90.0) | 3 (10.0) | ||
YouTube | 14 | 9 (64.3) | 5 (35.7) | ||
Conference poster | 13 | 11 (84.6) | 2 (15.4) | ||
Naver Blog | 8 | 8 (100) | 0 (0) | ||
Others | 6 | 4 (66.7) | 2 (33.3) |
The rate of participation through social network sites, including Facebook, Instagram, and YouTube, reached 41.5%.