Impact of the COVID-19 Pandemic on Adolescent Self-Harm: Based on a National Emergency Department Information System
Abstract
:1. Introduction
2. Methods
2.1. Data Collection and Target Population
2.2. Study Methods
2.3. Statistics
3. Results
3.1. Five-Year Comparison (2016–2020)
3.2. Comparison before and after the COVID-19 Outbreak
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- World Health Organization. Suicide Worldwide in 2019. Available online: https://www.who.int/publications/i/item/9789240026643 (accessed on 4 January 2023).
- World Health Organization. Adolescent and Young Adult Health. Available online: https://www.who.int/news-room/fact-sheets/detail/adolescents-health-risks-and-solutions (accessed on 4 January 2023).
- Organization for Economic Co-Operation and Development. Suicide Rates. Available online: https://data.oecd.org/healthstat/suicide-rates.htm (accessed on 4 January 2023).
- Statistics, Korea. Statistics on Cause of Death in 2020. Available online: https://kostat.go.kr/board.es?mid=a20108100000&bid=11773&act=view&list_no=414516 (accessed on 4 January 2023). (In Korean)
- Lee, H.; Noh, Y.; Seo, J.Y.; Park, S.H.; Kim, M.H.; Won, S. Impact of the COVID-19 pandemic on mental health of adolescent students in Daegu, Korea. J. Korean Med. Sci. 2021, 36, e321. [Google Scholar] [CrossRef] [PubMed]
- Byeon, H. Prediction of adolescent suicidal ideation after the COVID-19 pandemic: A nationwide survey of representative sample of Korea. Front. Pediatr. 2022, 10, 951439. [Google Scholar] [CrossRef] [PubMed]
- Yu, Y.; Wu, T.; Wang, S.; Liu, W.; Zhao, X. Suicide risk and association with the different trauma during the COVID-19 pandemic period: A cross-sectional study on adolescent with different learning stage in Chongqing, China. Front. Public Health 2022, 10, 858157. [Google Scholar] [CrossRef] [PubMed]
- Jogh, A.; Eyles, E.; Webb, R.T.; Okolie, C.; Schmidt, L.; Arensman, E.; Hawton, K.; O’Connor, R.C.; Kapur, N.; Moran, P.; et al. The impact of the COVID-19 pandemic on self-harm and suicidal behaviour: Update of living systematic review. F1000Research 2020, 9, 1097. [Google Scholar]
- Lee, K.S.; Lim, D.; Paik, J.W.; Choi, Y.Y.; Jeon, J.; Sung, H.K. Suicide attempt-related emergency department visits among adolescents: A nationwide population-based study in Korea, 2016–2019. BMC Psychiatr. 2022, 22, 418. [Google Scholar] [CrossRef]
- Ryu, S.; Nam, H.J.; Jhon, M.; Lee, J.Y.; Kim, J.M.; Kim, S.W. Trends in suicide deaths before and after the COVID-19 outbreak in Korea. PLoS ONE 2022, 17, e0273637. [Google Scholar] [CrossRef]
- Kim, S.Y.; Kim, H.R.; Park, B.; Choi, H.G. Comparison of stress and suicide-related behaviors among Korean youths before and during the COVID-19 pandemic. JAMA Netw. Open 2021, 4, e2136137. [Google Scholar] [CrossRef]
- Bardach, N.S.; Coker, T.R.; Zima, B.T.; Murphy, J.M.; Knapp, P.; Richardson, L.P.; Edwall, G.; Mangione-Smith, R. Common and costly hospitalizations for pediatric mental health disorders. Pediatrics 2014, 133, 602–609. [Google Scholar] [CrossRef] [Green Version]
- Cheon, J.; Oh, D.; Lee, J.; Ahn, J.; Song, D.H.; Cheon, K.A. Increasing trend and characteristics of Korean adolescents presenting to emergency department for self-harm: A 5-year experience, 2015 to 2019. Yonsei Med. J. 2020, 61, 614–622. [Google Scholar] [CrossRef] [PubMed]
- Chang, Y.R.; Kim, K.M.; Kim, H.J.; Kim, D.H.; Kim, J.; Noh, D.; Ma, D.S.; Yun, J.; Yun, J.H.; Lee, S.W.; et al. Impacts of social distancing during the COVID-19 outbreaks in Korea: Level 1 trauma center data of domestic incidents and intentional injury. Osong Public Health Res. Perspect. 2020, 11, 345–350. [Google Scholar] [CrossRef]
- Lee, J.; Kim, D.; Lee, W.J.; Lee, W.J.; Woo, S.H.; Jeong, S.; Kim, S.H. Association of the COVID-19 pandemic and low-rescue suicide attempts in patients visiting the emergency department after attempting suicide. J. Korean Med. Sci. 2021, 36, e243. [Google Scholar] [CrossRef] [PubMed]
- Brewer, A.G.; Doss, W.; Sheehan, K.M.; Davis, M.H.; Feinglass, J.M. Trends in suicidal ideation-related emergency department visits for youth in Illinois: 2016-2021. Pediatrics 2022, 150, e2022056793. [Google Scholar] [CrossRef]
- Burstein, B.; Agostino, H.; Greenfield, B. Suicidal attempts and ideation among children and adolescents in US emergency department, 2007–2015. JAMA Pediatr. 2019, 173, 598–600. [Google Scholar] [CrossRef] [PubMed]
- Olfson, M.; Gameroff, M.J.; Marcus, S.C.; Greenberg, T.; Shaffer, D. Emergency treatment of young people following deliberate self-harm. Arch. Gen. Psychiatry 2005, 62, 1122–1128. [Google Scholar] [CrossRef] [PubMed]
- Hoffman, J.A.; Hall, M.; Lorenz, D.; Berry, J.G. Emergency department visits for suicidal ideation and self-harm in rural and urban youth. J. Pediatr. 2021, 238, 282–289.e1. [Google Scholar] [CrossRef]
- Lee, J.; Bang, Y.S.; Min, S.; Ahn, J.S.; Kim, H.; Cha, Y.S.; Park, I.S.; Kim, M.H. Characteristics of adolescents who visit the emergency department following suicide attempts: Comparison study between adolescents and adults. BMC Psychiatry 2019, 19, 231. [Google Scholar] [CrossRef] [Green Version]
- Ridout, K.K.; Alavi, M.; Ridout, S.J.; Koshy, M.T.; Awsare, S.; Harris, B.; Vinson, D.R.; Weisner, C.M.; Sterling, S.; Iturralde, E. Emergency department encounters among youth with suicidal thoughts or behaviors during the COVID-19 pandemic. JAMA Psychiatry 2021, 78, 1319–1328. [Google Scholar] [CrossRef]
- Kim, H.S.; Jang, T.C.; Kim, G.M.; Lee, S.H.; Ko, S.H.; Seo, Y.W. Impact of the coronavirus disease 2019 outbreak on the transportation of patients requiring emergency transportation. Medicine 2020, 99, e23446. [Google Scholar] [CrossRef]
- Ministry of Health and Welfare, Korea. Announcement of Korean Triage and Acuity Scale Score. Available online: http://www.mohw.go.kr/react/jb/sjb0406vw.jsp?PAR_MENU_ID=03&MENU_ID=030406&CONT_SEQ=329273&page=1 (accessed on 17 February 2023). (In Korean)
- Statistics, Korea. Provisional Results on Birth and Death in 2020 (Press Release). Available online: http://kostat.go.kr/assist/synap/preview/skin/miri.html?fn=e2958200125358030212021&rs=/assist/synap/preview (accessed on 4 January 2023). (In Korean)
- Xiao, Y.; Cerel, J.; Mann, J.J. Temporal trends in suicidal ideation and attempts among US adolescents by sex and race/ethnicity, 1991–2019. JAMA Netw. Open 2021, 4, e2113513. [Google Scholar] [CrossRef]
- Yang, C.T.; Yip, P.A.F.; Cha, E.S.; Zhang, Y. Seasonal changes in suicide in South Korea, 1991 to 2015. PLoS ONE 2019, 14, e0219048. [Google Scholar] [CrossRef]
- Lasota, D.; Pawlowski, W.; Krajewski, P.; Stanniszewska, A.; Goniewicz, K.; Goniewicz, M. Seasonality of suicides among victims who are under the influence of alcohol. Int. J. Environ. Res. Public Health 2019, 16, 2806. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Jessen, G.; Andersen, K.; Arensman, E.; Bille-Brahe, U.; Crepet, P.; Leo, D.D.; Hawton, K.; Haring, C.; Helmeland, H.; Michel, K.; et al. Temporal fluctuations and seasonality in attempted suicide in Europe: Findings from the who/euro multicentre study on parasuicide. Arch. Suicide Res. 1998, 5, 57–69. [Google Scholar] [CrossRef]
- Kevan, S.M. Perspectives on season of suicide: A review. Soc. Sci. Med. Geogr. 1980, 14, 369–378. [Google Scholar] [CrossRef] [PubMed]
- Liu, Y.; Zhang, Y.; Arai, A.; Obayashi, Y.; Tamashiro, H. Gender-based seasonality of suicide in Japan, 2005–2012. Asia Pac. J. Public Health 2015, 27, NP1999–NP2007. [Google Scholar] [CrossRef] [PubMed]
- Saeed, A.; Bashir, M.Z.; Khan, D.; Iqbal, J.; Raja, K.S.; Rehman, A. Epidemiology of suicide in Faisalabad. J. Ayub. Med. Coll. Abbottabad 2002, 14, 34–37. [Google Scholar]
- De Leo, D.; Sveticic, J.; Milner, A. Suicide in Indigenous people in Queensland, Australia: Trends and methods, 1994–2007. Aust. N. Z. J. Psychiatry 2011, 45, 532–538. [Google Scholar] [CrossRef]
- Bantjes, J.; Kagee, A. Epidemiology of suicide in South Africa: Setting an agenda for future research. S. Afr. J. Psychol. 2013, 43, 238–251. [Google Scholar] [CrossRef]
- Hiltunen, L.; Suominen, K.; Lönnqvist, J.; Partonen, T. Relationship between day length and suicide in Finland. J. Circadian Rhythm. 2011, 9, 10. [Google Scholar] [CrossRef] [Green Version]
- Sisti, D.; Rocchi, M.B.; Macciò, A.; Preti, A. The epidemiology of homicide in Italy by season, day of the week and time of day. Med. Sci. Law 2012, 52, 100–106. [Google Scholar] [CrossRef]
- Wong, Y.J.; Ma_ni, C.S.; Shin, M. The racial-cultural framework: A framework for addressing suicide-related outcomes in communities of color. Couns. Psychol. 2014, 42, 13–54. [Google Scholar] [CrossRef]
- Christodoulou, C.; Efstathiou, V.; Bouras, G.; Korkoliakou, P.; Lykouras, L. Seasonal variation of suicide. A brief review. Encephalos 2012, 49, 73–79. [Google Scholar]
- Coimbra, D.G.; e Silva, A.C.P.; de Sousa-Rodrigues, C.F.; Barbosa, F.T.; de Siqueira Figueredo, D.; Santos, J.L.A.; Barbosa, M.R.; de Medeiros Alves, V.; Nardi, A.E.; de Andrade, T.G. Do suicide attempts occur more frequently in the spring too? A systematic review and rhythmic analysis. J. Affect. Disord. 2016, 196, 125–137. [Google Scholar] [CrossRef]
- Ramamurthy, P.; Thilakan, P. Geographical and temporal variation of suicide in India, 2006–2015: An investigation of factors associated with suicide risk di_erence across states/union territories. Indian J. Psychol. Med. 2019, 41, 160. [Google Scholar] [CrossRef] [PubMed]
- Rocchi, M.B.; Sisti, D.; Cascio, M.T.; Preti, A. Seasonality and suicide in Italy: Amplitude is positively related to rates. J. Affect. Disord. 2007, 100, 129–136. [Google Scholar] [CrossRef] [PubMed]
- Yip, P.; Chao, A.; Chiu, C. Seasonal variation in suicides: Diminished or vanished. Experience from England and Wales, 1982–1996. Br. J. Psychiatry 2000, 177, 366–369. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Yip, P.; Chao, A.; Ho, T.P. A re-examination of seasonal variation in suicides in Australia and New Zealand. J. Affect. Disord. 1998, 47, 141–150. [Google Scholar] [CrossRef]
- Parker, G.; Gao, F.; Machin, D. Seasonality of suicide in Singapore; data from the equator. Psychol. Med. 2001, 31, 549–553. [Google Scholar] [CrossRef]
- Yang, A.C.; Tsai, S.J.; Huang, N.E. Decomposing the association of completed suicide with air pollution, weather, and unemployment data at di_erent time scales. J. Affect. Disord. 2011, 129, 275–281. [Google Scholar] [CrossRef]
- Azizpour, Y.; Asadollahi, K.; Sayehmiri, K.; Kaikhavani, S.; Abangah, G. Epidemiological survey of intentional poisoning suicide during 1993–2013 in Ilam Province, Iran. BMC Public Health 2016, 16, 902. [Google Scholar] [CrossRef] [Green Version]
- Kim, N.M.; Seo, Y.W.; Kwak, S.G. Changes in self-harm attempts after COVID-19 pandemic based on pre-hospital medical records. Medicine 2022, 101, e30694. [Google Scholar] [CrossRef] [PubMed]
- Weisman, A.D.; Worden, J.W. Risk-rescue rating in suicide assessment. Arch. Gen. Psychiatry 1972, 26, 553–560. [Google Scholar] [CrossRef] [PubMed]
- Steeg, S.; John, A.; Gunnell, D.J.; Kapur, N.; Dekel, D.; Schmidt, L.; Knipe, D.; Arensman, E.; Hawton, K.; Higgins, J.P.T.; et al. The impact of the COVID-19 pandemic on presentations to health services following self-harm: Systematic review. Br. J. Psychiatry. 2022, 221, 603–612. [Google Scholar] [CrossRef]
- Pirkis, J.; John, A.; Shin, S.; Delpozo-Banos, M.; Arya, V.; Analuisa-Aguilar, P.; Appleby, L.; Arensman, E.; Bantjes, J.; Baran, A.; et al. Suicide trends in the early months of the COVID-19 pandemic: An interrupted time-series analysis of preliminary data from 21 countries. Lancet Psychiatr. 2021, 8, 579–588. [Google Scholar] [CrossRef] [PubMed]
- Kim, A.M. The impact of the COVID-19 pandemic on suicides: A population study. Psychiatry Res. 2022, 314, 114663. [Google Scholar] [CrossRef] [PubMed]
- Hernandez-Calle, D.; Marrtinez-Ales, G.; Mediavilla, R.; Aguirre, P.; Rodríguez-Vega, B.; Bravo-Ortiz, M.F. Trends in psychiatric emergency department visits due to suicidal ideation and suicide attempts during the COVID-19 pandemic in Madrid, Spain. J. Clin. Psychiatry 2020, 81, 20113419. [Google Scholar] [CrossRef] [PubMed]
2016 (N = 2287) | 2017 (N = 2986) | 2018 (N = 4839) | 2019 (N = 5587) | 2020 (N = 5752) | p-Value | |
---|---|---|---|---|---|---|
Total † (per day) | 6.25 ± 3.883 | 8.18 ± 4.321 | 13.26 ± 6.804 | 15.31 ± 6.445 | 15.71 ± 6.777 | <0.001 * |
Male † (per day) | 2.63 ± 2.279 | 3.30 ± 2.696 | 3.88 ± 3.158 | 4.36 ± 3.178 | 3.93 ± 3.243 | <0.001 * |
Female † (per day) | 3.61 ± 3.108 | 4.88 ± 3.329 | 9.37 ± 5.907 | 10.95 ± 5.253 | 11.78 ± 5.879 | <0.001 * |
Early-teen male † (per day) | 0.33 ± 0.965 | 0.52 ± 1.071 | 0.59 ± 1.336 | 0.69 ± 1.376 | 0.39 ± 0.955 | <0.001 * |
Late-teen male † (per day) | 2.30 ± 2.132 | 2.78 ± 2.477 | 3.30 ± 2.764 | 3.67 ± 2.772 | 3.54 ± 3.119 | <0.001 * |
Early-teen female † (per day) | 0.55 ± 1.417 | 0.61 ± 1.247 | 2.06 ± 1.247 | 2.01 ± 2.451 | 1.56 ± 2.027 | <0.001 * |
Late-teen female † (per day) | 3.06 ± 2.589 | 4.28 ± 3.039 | 7.32 ± 4.498 | 8.94 ± 4.692 | 10.22 ± 5.460 | <0.001 * |
Season | <0.001 * | |||||
Spring | 589 (25.7) | 799 (26.7) | 1057 (21.8) | 1383 (24.8) | 1230 (21.4) | <0.001 * |
Summer | 631 (27.6) | 844 (28.3) | 1517 (31.4) | 1500 (26.9) | 1651 (28.7) | <0.001 * |
Autumn | 630 (27.6) | 727 (24.4) | 1325 (27.4) | 1558 (27.9) | 1634 (28.4) | <0.001 * |
Winter | 437 (19.1) | 616 (20.6) | 941 (19.4) | 1145 (20.5) | 1236 (21.5) | <0.001 * |
Region | 0.019 * | |||||
Metropolitan | 1005 (44.0) | 1307 (43.8) | 2111 (43.6) | 2327 (41.6) | 2574 (44.7) | |
Non-Metropolitan | 1281 (56.0) | 1680 (56.2) | 2727 (56.4) | 3261 (58.4) | 3179 (55.3) | |
Transportation | <0.001 * | |||||
119 ambulance | 907 (39.7) | 1179 (39.5) | 1897 (39.2) | 2260 (40.5) | 2485 (43.2) | |
Other ambulance | 138 (6.0) | 168 (5.6) | 238 (4.9) | 195 (3.5) | 171 (3.0) | |
Other vehicle | 1226 (53.6) | 1633 (54.7) | 2686 (55.5) | 3100 (55.5) | 3065 (53.3) | |
On foot | 11 (0.5) | 7 (0.2) | 10 (0.2) | 22 (0.4) | 29 (0.5) | |
Unknown | 4 (0.2) | 0 (0.0) | 8 (0.2) | 8 (0.1) | 3 (0.1) | |
KTAS | <0.001 * | |||||
1–3 | 1252 (54.8) | 1642 (55.0) | 2713 (56.1) | 3166 (56.7) | 3432 (59.7) | |
4–5 | 1033 (45.2) | 1344 (45.0) | 2127 (43.9) | 2421 (43.3) | 2316 (40.3) | |
Method | <0.001 * | |||||
Ingestion | 902 (39.4) | 1128 (37.8) | 2100 (43.4) | 2417 (43.3) | 2439 (42.4) | |
Cutting/stabbing | 1109 (48.4) | 1478 (49.5) | 2172 (44.9) | 2637 (47.2) | 2699 (46.9) | |
Drowning | 27 (1.2) | 25 (0.8) | 36 (0.7) | 49 (0.9) | 60 (1.0) | |
Asphyxia/Hanging | 55 (2.4) | 73 (2.4) | 110 (2.3) | 111 (2.0) | 126 (2.2) | |
Fall | 112 (4.9) | 131 (4.4) | 207 (4.3) | 206 (3.7) | 263 (4.6) | |
Others | 84 (3.7) | 151 (5.1) | 215 (4.4) | 164 (2.9) | 165 (2.9) | |
Outcome | 0.227 | |||||
Survival | 2215 (96.9) | 2923 (97.9) | 4717 (97.5) | 5455 (97.7) | 5605 (97.4) | |
Death | 59 (2.6) | 43 (1.9) | 89 (1.8) | 98 (1.8) | 107 (1.9) | |
Unknown | 13 (0.6) | 20 (0.7) | 33 (0.7) | 33 (0.6) | 40 (0.7) | |
Admission (among total) | 638 (27.9) | 754 (25.2) | 1173 (24.2) | 1344 (24.1) | 1390 (24.2) | <0.001 * |
To ICU (among admission) | 223 (35.0) | 250 (33.2) | 320 (27.3) | 460 (34.2) | 565 (40.7) | <0.001 * |
Mean ER stay time (h:mm) | 4:30 ± 6:16 | 4:22 ± 5:44 | 4:50 ± 6:01 | 4:47 ± 5:57 | 4:40 ± 5:57 | 0.011 * |
Mean Admission Days | 10.1 ± 15.20 | 9.3 ± 14.89 | 9.6 ± 14.95 | 9.4 ± 15.15 | 10.0 ± 14.52 | 0.778 |
Male (N = 2617) | Female (N = 7258) | ||||||
---|---|---|---|---|---|---|---|
Before N = 1386) | After (N = 1231) | p-Value | Before (N = 3501) | After (N = 3757) | p-Value | ||
ET † | Per day | 0.78 ± 1.465 | 0.39 ± 0.949 | <0.001 * | 2.10 ± 2.500 | 1.61 ± 2.096 | 0.009 * |
LT † | Per day | 3.75 ± 2.863 | 3.64 ± 3.252 | 0.065 | 9.34 ± 4.779 | 10.66 ± 5.579 | 0.002 * |
Season (per day) | |||||||
ET † | Spring | 0.77 ± 1.531 | 0.21 ± 0.540 | 0.001 * | 2.27 ± 2.679 | 1.25 ± 1.940 | 0.003 * |
Summer | 1.06 ± 1.579 | 0.53 ± 1.084 | 0.009 * | 1.94 ± 2.529 | 1.29 ± 1.652 | 0.042 * | |
Autumn | 0.75 ± 1.429 | 0.52 ± 1.202 | 0.244 | 2.13 ± 2.276 | 2.28 ± 2.431 | 0.672 | |
Winter | 0.07 ± 0.270 | 0.10 ± 0.292 | 0.641 | 1.97 ± 2.577 | 1.68 ± 2.273 | 0.645 | |
LT † | Spring | 3.51 ± 3.148 | 3.55 ± 3.004 | 0.937 | 8.48 ± 4.819 | 8.36 ± 4.700 | 0.871 |
Summer | 3.77 ± 2.782 | 4.38 ± 3.108 | 0.168 | 9.53 ± 4.857 | 11.75 ± 5.159 | 0.003 * | |
Autumn | 4.05 ± 2.852 | 3.28 ± 3.662 | 0.115 | 10.20 ± 4.207 | 11.88 ± 5.748 | 0.026 * | |
Winter | 3.50 ± 2.209 | 2.75 ± 2.783 | 0.250 | 8.84 ± 5.679 | 10.71 ± 6.724 | 0.241 | |
Region | |||||||
ET | Metropolitan | 92 (38.5) | 61 (51.7) | 0.018 * | 280 (43.5) | 207 (41.9) | 0.579 |
Non-metropolitan | 147 (61.5) | 57 (48.3) | 363 (56.5) | 287 (58.1) | |||
LT | Metropolitan | 465 (40.5) | 466 (41.9) | 0.521 | 1207 (42.2) | 1501 (46.0) | 0.003 * |
Non-metropolitan | 682 (59.5) | 647 (58.1) | 1651 (57.8) | 1763 (54.0) | |||
Region (per day) | |||||||
ET † | Metropolitan | 0.30 ± 0.844 | 0.20 ± 0.636 | 0.100 | 0.91 ± 1.506 | 0.68 ± 1.171 | 0.029 * |
Non-metropolitan | 0.48 ± 1.213 | 0.19 ± 0.676 | <0.001 * | 1.18 ± 1.995 | 0.94 ± 1.616 | 0.092 | |
LT † | Metropolitan | 1.52 ± 1.505 | 1.52 ± 1.624 | 0.992 | 3.95 ± 2.551 | 4.90 ± 3.398 | <0.001 * |
Non-metropolitan | 2.23 ± 2.417 | 2.11 ± 2.610 | 0.577 | 5.40 ± 4.041 | 5.76 ± 4.380 | 0.286 | |
Transportation | |||||||
ET | 119 ambulance | 61 (25.5) | 46 (39.0) | 0.007 * | 202 (31.4) | 208 (42.0) | 0.001 * |
Other ambulance | 18 (7.5) | 0 (0.0) | 17 (2.6) | 18 (3.6) | |||
Other vehicle | 160 (66.9) | 72 (61.0) | 423 (65.8) | 268 (54.1) | |||
On foot | 0 (0.0) | 0 (0.0) | 1 (0.2) | 1 (0.2) | |||
Unknown | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | |||
LT | 119 ambulance | 529 (46.2) | 593 (53.3) | 0.001 * | 1167 (40.8) | 1297 (39.7) | 0.186 |
Other ambulance | 43 (3.8) | 30 (2.7) | 100 (3.5) | 91 (2.8) | |||
Other vehicle | 570 (49.7) | 489 (44.0) | 1569 (54.9) | 1851 (56.7) | |||
On foot | 4 (0.3) | 0 (0.0) | 16 (0.6) | 21 (0.6) | |||
Unknown | 0 (0.0) | 0 (0.0) | 7 (0.2) | 3 (0.1) | |||
KTAS | |||||||
ET | 1–3 | 111 (46.4) | 59 (49.6) | 0.576 | 367 (57.1) | 314 (63.6) | 0.027 * |
4–5 | 128 (53.6) | 60 (50.4) | 276 (42.9) | 180 (36.4) | |||
LT | 1–3 | 523 (45.6) | 636 (57.1) | <0.001 * | 1810 (63.3) | 1999 (61.3) | 0.073 |
4–5 | 624 (54.4) | 477 (42.9) | 1049 (36.7) | 1262 (38.7) | |||
Method | |||||||
ET | Ingestion | 61 (25.5) | 36 (30.5) | 0.003 * | 309 (48.2) | 210 (42.5) | 0.008 * |
Cutting/stabbing | 143 (59.8) | 58 (49.2) | 274 (42.7) | 209 (42.3) | |||
Drowning | 3 (1.3) | 0 (0.0) | 3 (0.5) | 2 (0.4) | |||
Asphyxia/Hanging | 6 (2.5) | 14 (11.9) | 10 (1.6) | 10 (2.0) | |||
Fall | 12 (5.0) | 7 (5.9) | 25 (3.9) | 46 (9.3) | |||
Others | 14 (5.9) | 3 (2.5) | 20 (3.1) | 17 (3.4) | |||
LT | Ingestion | 357 (31.1) | 368 (33.1) | 0.053 | 1423 (49.8) | 1500 (46.0) | 0.037 * |
Cutting/stabbing | 660 (57.5) | 582 (52.3) | 1194 (41.8) | 1479 (45.3) | |||
Drowning | 19 (1.7) | 18 (1.6) | 23 (0.8) | 33 (1.0) | |||
Asphyxia/Hanging | 30 (2.6) | 42 (3.8) | 47 (1.6) | 41 (1.3) | |||
Fall | 45 (3.9) | 67 (6.0) | 95 (3.3) | 118 (3.6) | |||
Others | 36 (3.1) | 36 (3.2) | 77 (2.7) | 92 (2.8) | |||
Outcome | |||||||
ET | Survival | 223 (93.3) | 102 (86.4) | 0.016 * | 626 (97.4) | 480 (97.4) | 0.873 |
Death | 13 (5.4) | 16 (13.6) | 12 (1.9) | 8 (1.6) | |||
Unknown | 3 (1.3) | 0 (0.0) | 5 (0.8) | 5 (1.0) | |||
LT | Survival | 1114 (97.1) | 1075 (96.6) | 0.087 | 2817 (98.5) | 3203 (98.1) | 0.081 |
Death | 23 (2.0) | 34 (3.1) | 33 (1.2) | 37 (1.1) | |||
Unknown | 10 (0.9) | 4 (0.4) | 9 (0.3) | 24 (0.7) | |||
Admission | |||||||
ET | Admission (among total) | 64 (26.8) | 27 (22.9) | 0.016 * | 158 (24.6) | 141 (28.5) | 0.568 |
Admission to ICU (among admission) | 14 (21.9) | 13 (48.1) | 0.012 | 45 (28.5) | 37 (26.2) | 0.665 | |
ET stay time (h:mm) | 2:53 ± 4:25 | 3:48 ± 6:04 | 0.138 | 5:02 ± 5:28 | 5:21 ± 6:41 | 0.477 | |
Admission day | 9.5 ± 12.45 | 7.5 ± 8.62 | 0.506 | 9.8 ± 12.62 | 12.6 ± 14.76 | 0.139 | |
LT | Admission (among total) | 253 (22.1) | 264 (23.7) | 0.759 | 701 (24.5) | 784 (24.0) | 0.188 |
Admission to ICU (among admission) | 72 (28.5) | 110 (41.7) | 0.002 * | 287 (40.9) | 333 (42.5) | 0.052 | |
ED stay time (h:mm) | 3:57 ± 5:33 | 4:10 ± 5:09 | 0.361 | 5:02 ± 6:10 | 5:02 ± 5:53 | 0.960 | |
Admission day | 8.9 ± 14.99 | 10.0 ± 14.22 | 0.468 | 9.0 ± 14.93 | 10.0 ± 15.51 | 0.254 |
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Park, J.-H.; Seo, Y.-W.; Chae, S. Impact of the COVID-19 Pandemic on Adolescent Self-Harm: Based on a National Emergency Department Information System. Int. J. Environ. Res. Public Health 2023, 20, 4666. https://doi.org/10.3390/ijerph20054666
Park J-H, Seo Y-W, Chae S. Impact of the COVID-19 Pandemic on Adolescent Self-Harm: Based on a National Emergency Department Information System. International Journal of Environmental Research and Public Health. 2023; 20(5):4666. https://doi.org/10.3390/ijerph20054666
Chicago/Turabian StylePark, Ju-Hyeon, Young-Woo Seo, and Seungbum Chae. 2023. "Impact of the COVID-19 Pandemic on Adolescent Self-Harm: Based on a National Emergency Department Information System" International Journal of Environmental Research and Public Health 20, no. 5: 4666. https://doi.org/10.3390/ijerph20054666
APA StylePark, J. -H., Seo, Y. -W., & Chae, S. (2023). Impact of the COVID-19 Pandemic on Adolescent Self-Harm: Based on a National Emergency Department Information System. International Journal of Environmental Research and Public Health, 20(5), 4666. https://doi.org/10.3390/ijerph20054666