Next Article in Journal
Factors Associated with Increased or Decreased Stress Level in French Children during the First COVID-19 Lockdown
Next Article in Special Issue
“I Don’t Want to Go to Work”: A Mixed-Methods Analysis of Healthcare Worker Experiences from the Front- and Side-Lines of COVID-19
Previous Article in Journal
Influence of Hospital Environmental Variables on Thermometric Measurements and Level of Concordance: A Cross-Sectional Descriptive Study
Previous Article in Special Issue
The Impact of the COVID-19 Crisis on the Practices and Mental Health of Psychologists in Belgium: Between Exhaustion and Resilience
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Impact of the COVID-19 Pandemic on Adolescent Self-Harm: Based on a National Emergency Department Information System

1
Department of Emergency Medicine, School of Medicine, Daegu Catholic University, Daegu 42472, Republic of Korea
2
Department of Orthopedic Surgery, School of Medicine, Daegu Catholic University, Daegu 42472, Republic of Korea
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2023, 20(5), 4666; https://doi.org/10.3390/ijerph20054666
Submission received: 14 January 2023 / Revised: 27 February 2023 / Accepted: 4 March 2023 / Published: 6 March 2023

Abstract

:
Republic of Korea’s suicide rate is the highest among Organization for Economic Co-operation and Development countries. In Republic of Korea, suicide is the leading cause of death among young people aged 10–19 years. This study aimed to identify changes in patients aged 10–19 years who visited the emergency department in Republic of Korea after inflicting self-harm over the past five years and to compare the situations before and after the outbreak of the COVID-19 pandemic. Analysis of government data revealed that the average daily visits per 100,000 were 6.25, 8.18, 13.26, 15.31, and 15.71 from 2016 to 2020, respectively. The study formed four groups for further analysis, with the population divided by sex and age (10–14 and 15–19 years old). The late-teenage female group showed the sharpest increase and was the only group that continued to increase. A comparison of the figures 10 months before and after the outbreak of the pandemic revealed a statistically significant increase in self-harm attempts by only the late-teenage female group. Meanwhile, visits (per day) in the male group did not increase, but the rates of death and ICU admission increased. Additional studies and preparations that account for age and sex are warranted.

1. Introduction

Adolescent suicide is a major global public health issue [1]. In 2020, approximately 1,500,000 adolescents and young adults (ages 10–24 years) died worldwide, and suicide was the second leading cause of death [2]. In Republic of Korea, the suicide rate was 24.6 per 100,000 in 2020, the highest among OECD member countries [3]. Indeed, suicide is the fifth leading cause of death in Korea [4]. By age, suicide is the most common cause of death among people in their teens [4].
Since the outbreak of the COVID-19 pandemic, concerns about social isolation, economic crises, and fears of infectious diseases have deepened [5,6]. Adolescents—who are not only mentally and physically immature compared with adults, but who also live a life confined to the home and school—particularly faced a greater risk of social isolation. Studies on adolescents and young adults have reported that depression, anxiety, and suicidal thoughts have increased since the beginning of the pandemic [5,6,7]. Despite such risks, a review article found no evidence that self-harm increased after the outbreak of the pandemic [8]. Among Korean adolescents, suicide continued to increase from 2016 to 2019, particularly among mid-adolescents (14–16 years old) compared with late-adolescents (17–19 years old) [9]. A study using trend prediction analysis reported that the number of patients under the age of 34 years increased more than the predicted value after the start of the pandemic [10]. Another study, based on the Korea Youth Risk Behavior Web-based Survey, reported that compared with 2019, the odds ratio of self-harm attempts decreased in 2020, after the start of the pandemic, to 0.64 [95% CI, 0.58–0.70] [11].
The conflicting research results may be attributed to differences in data investigation methods or subjects. In general, the first place a patient visits after attempting self-harm is an emergency department [12]. As such, many studies on self-harm have been conducted based on emergency department data [9,13,14,15,16,17,18,19,20,21]. After the start of the COVID-19 pandemic, studies on self-harm and suicide in adolescents by age and sex based on national emergency department data are still insufficient. Therefore, we compared and analyzed trends before and after the outbreak of the COVID-19 pandemic by using data from the National Emergency Department Information System (NEDIS).

2. Methods

2.1. Data Collection and Target Population

From the NEDIS data, collected and managed by the National Emergency Medical Center in Korea, we analyzed data from 2016 to 2020 on patients aged 10–19 years who visited emergency rooms in Korea after inflicting self-harm. The first case of COVID-19 in Korea was reported on 19 January 2020; subsequent cases occurred sporadically thereafter, before increasing in number rapidly after the 31st COVID-19 patient was detected on 18 February 2020 [22]. From this point, the nationwide response against the outbreak of COVID-19 began in Korea, and consequently, rapid social changes began in parallel [22]. Therefore, we decided to use the data after March 2020 as the data after the outbreak of the COVID-19 pandemic.

2.2. Study Methods

We collected the following: patients’ age, sex, visit date, visit time, region, method of self-harm attempt (one choice), transportation, Korean Triage and Acuity Scale (KTAS) score, hospitalization, inpatient ward, emergency department (ED) exit time, discharge date, discharge time, and treatment results. By age, the patients were grouped into 10–14 and 15–19 years, in accordance with the regulations of the National Emergency Medical Center in Korea. Visit dates were classified by season, and regions were divided into metropolitan and non-metropolitan. As for transportation to visit the ED, we divided it into 119 ambulance, other ambulance, other vehicle, on foot, and unknown. The KTAS is scored by health care professionals on a scale of 1–5 depending on severity, by comprehensively evaluating the main symptom, injury mechanism, pain level, general condition, and vital signs. The lower the score, the more severe the condition. In accordance with the emergency and non-emergency classification method of the Ministry of Health and Welfare [23], we classified scores 1 to 3 as “emergency” and scores 4 to 5 as “non-emergency.” Methods of self-harm attempt were classified into ingestion, cutting/stabbing, drowning, asphyxia/hanging, fall, and others. Final outcome was classified into survival, death, and unknown. Based on the collected data, we analyzed the number of ED visits per 100,000 population according to the population by year, age group, sex, and region provided by Statistics Korea, Korea’s central government organization for statistics. This study was approved by the Institutional Review Board of Daegu Catholic University Hospital (IRB number: CR-22-035-L). Informed consent was not required.

2.3. Statistics

We generated a summary of the population characteristics using descriptive analysis. We obtained the values of mean and standard deviation (SD) for quantitative variables, and the values of frequency and percent for qualitative variables. For the normality test, we used the Shapiro–Wilk test for continuous variables. To compare patients who visited the emergency room after self-harming by year, we performed a one-way ANOVA or Friedman test according to whether the normality was satisfied for quantitative variables, and we performed the chi-squared test for qualitative variables. For the comparison before and after the start of the COVID-19 pandemic according to sex and age, we conducted a two sample t-test or Mann–Whitney U test for quantitative variables depending on whether normality was satisfied, and a chi-squared test for qualitative variables. All p-values less than 0.05 were considered statistically significant. All tests were performed as a two-tailed test. We performed statistical analyses using IBM SPSS Statistics for Windows, version 21.0 (SPSS Inc., Chicago, IL, USA).

3. Results

3.1. Five-Year Comparison (2016–2020)

From 1 January 2016 to 31 December 2020, a total of 18,037 teenage patients visited the ED owing to self-harm or suicide. Table 1 shows the data provided by Statistics Korea sorted by year, region, age, and sex during the five years. The mean (±SD) of daily visits per 100,000 population indicated statistically significant differences, and was increasing every year. Based on the patient’s age group (i.e., 10–14 and 15–19 years) and sex (i.e., male and female), four groups were created and analyzed: early teenage male (ETM), late teenage male (LTM), early teenage female (ETF), and late teenage female (LTF). In the case of LTF, the results were statistically significantly different. Only this group showed continuously increasing mean daily visits.
By visit season, summer showed the highest rate of ED visits in all years between 2016 and 2020, except in 2019. Regarding the ratio between metropolitan and non-metropolitan, the number of patient visits was smaller in metropolitan than in non-metropolitan regions. Regarding transportation for ED visits, “other vehicle” accounted for the most frequent type, followed by the public 119 ambulance. The proportion of patients with a KTAS score of 1–3, indicating an emergency, increased every year from 2016 to 2020. As for self-harm methods, cutting/stabbing and ingestion accounted for the majority of cases.
Although we found no statistical difference in the comparison of the ratio of treatment outcomes, the number of dead patients increased every year (except for 2017). Table 1 also lists the hospitalization rate and rate of admission to the intensive care unit (ICU) among inpatients, as well as the mean length of stay in the ED and mean admission days.

3.2. Comparison before and after the COVID-19 Outbreak

For the comparison before and after the outbreak of the COVID-19 pandemic, we excluded the data from 2016 to 2018, which showed a drastic increase in adolescent self-harm and suicide. We used data from March to December 2019 as a control group and the data from March to December 2020 (i.e., after the outbreak of the COVID-19 pandemic on 19 February 2020) as the study group. In our analysis, we divided the cases into four groups according to sex and age group.
As shown in Table 2, in the ETM, LTM, and ETF, the number of patients who visited the ED for self-harm attempts decreased after the COVID-19 pandemic, and only the LTM showed no statistical difference. However, the mean ED visits per day in the LTF increased by 1.32 visits per day from before the pandemic to after, showing a statistical difference. By season, mean ED visits per day in the LTF increased in summer and autumn, showing statistically significant differences.
By residence, the mean ED visits per day in the LTF in metropolitan regions increased, whereas that in the ETM and ETF in non-metropolitan regions decreased, showing a statistically significant difference. In addition, in the comparison of mean visits per day by region per group, only the LTF in metropolitan regions showed a statistically significant increase.
By transportation type for ED visits, the use of the 119 ambulance increased after the COVID-19 pandemic in all groups except the LTF, showing statistically significant differences. The LTM group showed the highest rate of ED visits using the 119 ambulance. In the comparison according to KTAS scores, we found that after the outbreak of the COVID-19 pandemic, the ratio of emergency cases (1–3 points) for the LTM and ETF groups increased by 11.5% and 6.5%, respectively. In addition, the ratio of emergency cases (1–3 points) was 4.2% to 17.7% higher for females than for males.
The most common methods of self-harm attempt were ingestion and cutting/stabbing in females, in that order; whereas the reverse order was reported in males. In all four groups, the total ratio of the combination of ingestion and cutting/stabbing decreased after the start of the pandemic, and all groups except for the LTM showed statistically significant differences in this ratio. In particular, the ETM increased from 8.8% to 17.8%, whereas the ETF increased from 6.0% to 11.7%. In the comparison of treatment outcomes, we found statistical differences for only the ETM; mortality in the ETM more than doubled. Among inpatients, the rate of admission to the ICU increased in the ETM and LTM. However, female groups did not show differences before and after the pandemic outbreak. Regarding the ED stay time and length of hospital admission/stay days, we found no statistically significant differences in all four groups. Meanwhile, males’ ED stay times were 52 to 129 min shorter compared with females.

4. Discussion

Korea has the highest suicide rate in the world, and suicide is the number one leading cause of death among teenagers. For comparison before and after the start of the COVID-19 pandemic, this study investigated the trend of change over a sufficient period of time before the pandemic; based on the results, the comparison periods before and after the pandemic were determined. To obtain accurate and meaningful results, we intended to reflect the demographic changes in Korea. For example, the country’s fertility rate has fallen over the past decades, and the combined total fertility rate became 0.84 in 2020, which decreased by 0.08 compared with 2019 [24]. Therefore, we performed statistical analyses based on data per 100,000 population (median value of the year) by year, region, sex, and age provided by Statistics Korea. To the best of our knowledge, this study is the first to compare adolescent self-harm before and after the start of the COVID-19 pandemic through statistical analyses of NEDIS data from the National Emergency Medical Center and demographic changes in Korea.
From 2016 to 2019, the number of patients per day who visited the ED for self-harm drastically increased—to 2.45 times—coinciding with that reported in another study, 2.36 times [9], performed in Korea at the same time. Another study reported a higher increase, of 5.54 times [13]. The former research [9] was conducted using national data, as was the current study, whereas the latter study [13] analyzed single-center data. Such a large variation might be attributed to the use of a single center design. In 2020, when COVID-19 began to spread worldwide, the number of ED visits per day was 15.71 (±6.777) in Korea, and the steep increasing trend declined.
Based on sex, the total number of ED visits per day by teenage males increased by 65.8% over the four years from 2016 to 2019. During the same period, the number of ED visits per day by teenage females increased about threefold, and was consistent with previous reports [9,25]. Regarding such results, Lee et al. [9] argued that depression-related symptoms increased only in females after 2005 in Korea, that female adolescents are more sensitive to the socioeconomic status of their parents than their male counterparts, and that female adolescents feel more stress over their physical and psychological changes during adolescence. As implied by our results, although the increase in ED visits slowed in 2020, public officials or researchers in charge of suicide prevention and mental health should pay attention and be cautious of the steady rise in teenagers’ self-harm over the years, particularly among female adolescents.
By season, the suicide rate in autumn of 2019 was the highest at 27.9%, whereas in all other years summer had the highest rate. According to a study on the seasonal effect of suicide in Korea from 1991 to 2015, most died by suicide in spring, and then gradually decreased throughout the seasons, being the lowest in winter [26]. However, such a tendency has gradually decreased as the years have passed [26]. In our study, from 2016 to 2020, when we only focused on the season of spring, 2017 was the year with the highest number of self-harm attempts. However, our results from the study years (i.e., 2016 to 2020) were inconsistent with the trend noted above. In many other countries, studies have noted differences in seasonal trends based on age and sex, with variations depending on the time and country of the study [27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44]. Further research is necessary to determine whether the difference between the current and prior studies is due to a change in the seasonal trend of suicide attempts in Korea or differences according to age groups.
Methods of attempting self-harm vary by country [45]. In Korea [13,15,20,46], ingestion and cutting/stabbing account for the majority. In our study, these two methods accounted for the majority as well. The rates of drowning and asphyxia/hanging, equivalent to 2 points on the risk rescue rating scale (RRRS) [47], were 2.9% and 3.6%, respectively, whereas that of falls, scoring 3 points on the RRRS, ranged from 3.7% to 4.9%. Falls were the only method that showed consistent as well as slightly declining percentages, but the number of ED visits owing to falls per 100,000 population steadily increased from 2016 to 2018.
Since 2016, the number of teens visiting the ED for self-harm has consistently increased. Therefore, to make a more accurate comparison before and after the start of the COVID-19 pandemic, we classified March to December 2020 as the post-pandemic period, and March to December 2019 as the pre-outbreak period. We then further divided the cases into four groups according to sex (male and female) and age (10–14 and 15–19 years), and then conducted a comparative analysis.
After the COVID-19 outbreak, as shown in Table 2, the mean ED visits per day in the ETM and ETF decreased by 50% and 23%, respectively; while those in the LTM decreased slightly from 3.65 (±2.863) to 3.64 (±3.252), with this decrease being statistically insignificant (p-value = 0.065). The mean in the LTF increased by 14.1%; the LTF was the only group to show an increase after the outbreak of the COVID-19 pandemic. Such a result is similarly reported in systematic review articles: more countries have had no change or a decrease in self-harm or suicide rates in the months after the start of the COVID-19 pandemic [8,48]. By season, mean visits per day of the two groups in the early teens (i.e., ETM and ETF) showed a decrease in spring and summer, whereas no statistical difference was found between the two late teen groups (i.e., LTM and LTF) in the same season. Considering that Korea’s first outbreak of the COVID-19 pandemic occurred in late winter to early spring, our finding of a decrease in self-harm in the period immediately after the outbreak matched that found in previous studies [49,50,51]. Additional follow-up studies are needed to investigate whether such seasonal variation is due to the pandemic of an infectious disease or to the weakening seasonal variability of self-harm patients in Korea [26].
In the comparison of self-harm attempt methods, ingestion was the most frequently used method by females both before and after the start of the pandemic, whereas cutting/stabbing was the most frequently used method by males. Compared with female, the ratio of RRRS 2 points was 1.7% to 9.5% higher in males, and that of RRRS 3 points was 0.6% to 3.4% higher in males. After the start of the pandemic, such differences tended to increase, and only the ETF showed a steep increase in RRRS 3 points from 3.9% to 9.3%. Males tend to try more aggressive self-harm methods than females. After the start of the pandemic, such a tendency has become more prominent. In the mortality comparison, the ETM increased from 5.4% to 13.6%, and the LTM increased from 2.0% to 3.1%, whereas the female groups showed a slight decrease. Only the ETM showed a statistically significant difference. In addition, the rate of admission to the ICU among inpatients increased from 21.9% to 48.1% in the ETM, and from 28.5% to 41.7% in the LTM. Considering self-harm methods, prognosis, and ICU admission rate, in the same period, the KTAS score for an “emergency” for males (i.e., 1–3 points) was 4.2% to 14% lower than that for females. Such a result may be attributed to the tendency among females to complain more about symptoms than males. In addition, the same difference may influence the longer ED stay in females than males in the same group by approximately 1 to 2 h.
This study has a few limitations. The first is the limitation of the data provided. The patients’ socioeconomic status, motivation for self-harm, detailed treatment process, detailed method of self-harm, and interview details were not available. Given the computerized nature of collecting ED data across Korea, there was a high possibility of missed data. Thus, analyses on the causes of self-harm attempts were not possible. Moreover, additional analysis was not possible because age information was only provided in terms of age group. The second limitation is that patients who did not directly harm themselves but who visited the ED or outpatient clinic for fear, depression, or anxiety were not included in this study. A study investigating such categories is also needed.
Despite these limitations, our study is valuable for being the first to identify trends in the years before the COVID-19 pandemic, reflect the population structure, and examine the impact of the COVID-19 pandemic on teenage self-harm based on national-level data in Korea. A notable finding was that the LTF showed the steepest, and a continuing, increase in the number of self-harm patients, and such an increase was maintained even after the start of the pandemic, consistent with a previous systematic review [48]. However, we were not able to reveal whether such results were due to the influence of the pandemic or to the continuity of other factors that have affected the increase in self-harm in the LTF group. Government institutions in Korea, such as the Suicide Prevention Center and the Ministry of Health and Welfare, as well as the clinical departments of psychiatry, emergency medicine, and trauma care, should be aware of these changes and prepare for them. Meanwhile, among male teenage patients, while the number of self-harm patients did not increase after the pandemic, the use of more aggressive methods, the increase in ICU admission rate, and the poor prognosis should also be considered and prepared for. Further studies are recommended to identify the causes of these results, in order to prevent self-harm and prepare long-term countermeasures.

5. Conclusions

In Korea, self-harm among teenagers has increased rapidly over the past few years, with self-harm among females in their late teens (15–19 years old) having increased most rapidly. In addition, self-harm among females only in their late teens increased, in comparison, before and after the start of the COVID-19 pandemic. In contrast, self-harm among males did not increase before and after, but the ICU admission rate and the mortality rate both increased. Consequently, follow-up studies are required, particularly on the causes of, prevention of, and preparation for these findings.

Author Contributions

Conceptualization, Y.-W.S. and S.C.; data curation, J.-H.P., S.C. and Y.-W.S.; formal analysis, Y.-W.S.; investigation, J.-H.P. and Y.-W.S.; methodology, Y.-W.S. and S.C.; writing—original draft, J.-H.P. and Y.-W.S.; Writing—review & editing, Y.-W.S. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the grant of Research Institute of Medical Science, Daegu Catholic University (2022) and by the grant of Medical School Student Research Program, Daegu Catholic University (2022).

Institutional Review Board Statement

This study was approved by the Institutional Review Board of Daegu Catholic University Hospital (IRB number: CR-22-035-L). Informed consent was not required.

Informed Consent Statement

Patient consent was waived due to IRB approval.

Data Availability Statement

Third party data. Data were obtained from the National Emergency Medical Center and are available at https://www.e-gen.or.kr/nemc/main.do (accessed on 4 January 2023) with the permission of the National Emergency Medical Center. Data can be obtained by submitting the documents required by the National Emergency Medical Center, including a research plan and IRB approval-related documents, undergoing the review process, and then paying a fee.

Acknowledgments

We consulted on the statistical analysis with the Department of Medical Statistics, Daegu Catholic University. This work was conducted with the medical school student research program of Daegu Catholic University. We would like to thank the medical students, Sunyoung Kang and Daewoong Sin.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. World Health Organization. Suicide Worldwide in 2019. Available online: https://www.who.int/publications/i/item/9789240026643 (accessed on 4 January 2023).
  2. 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).
  3. Organization for Economic Co-Operation and Development. Suicide Rates. Available online: https://data.oecd.org/healthstat/suicide-rates.htm (accessed on 4 January 2023).
  4. 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)
  5. 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]
  6. 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]
  7. 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]
  8. 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]
  9. 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]
  10. 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]
  11. 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]
  12. 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]
  13. 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]
  14. 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]
  15. 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]
  16. 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]
  17. 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]
  18. 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]
  19. 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]
  20. 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]
  21. 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]
  22. 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]
  23. 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)
  24. 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)
  25. 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]
  26. 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]
  27. 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]
  28. 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]
  29. Kevan, S.M. Perspectives on season of suicide: A review. Soc. Sci. Med. Geogr. 1980, 14, 369–378. [Google Scholar] [CrossRef] [PubMed]
  30. 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]
  31. 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]
  32. 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]
  33. 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]
  34. 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]
  35. 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]
  36. 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]
  37. Christodoulou, C.; Efstathiou, V.; Bouras, G.; Korkoliakou, P.; Lykouras, L. Seasonal variation of suicide. A brief review. Encephalos 2012, 49, 73–79. [Google Scholar]
  38. 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]
  39. 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]
  40. 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]
  41. 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]
  42. 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]
  43. Parker, G.; Gao, F.; Machin, D. Seasonality of suicide in Singapore; data from the equator. Psychol. Med. 2001, 31, 549–553. [Google Scholar] [CrossRef]
  44. 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]
  45. 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]
  46. 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]
  47. Weisman, A.D.; Worden, J.W. Risk-rescue rating in suicide assessment. Arch. Gen. Psychiatry 1972, 26, 553–560. [Google Scholar] [CrossRef] [PubMed]
  48. 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]
  49. 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]
  50. Kim, A.M. The impact of the COVID-19 pandemic on suicides: A population study. Psychiatry Res. 2022, 314, 114663. [Google Scholar] [CrossRef] [PubMed]
  51. 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]
Table 1. Comparison of patients who visited an emergency department for self-harm in Korea from 2016 to 2020.
Table 1. Comparison of patients who visited an emergency department for self-harm in Korea from 2016 to 2020.
2016
(N = 2287)
2017
(N = 2986)
2018
(N = 4839)
2019
(N = 5587)
2020
(N = 5752)
p-Value
Total †
(per day)
6.25 ± 3.8838.18 ± 4.32113.26 ± 6.80415.31 ± 6.44515.71 ± 6.777<0.001 *
Male †
(per day)
2.63 ± 2.2793.30 ± 2.6963.88 ± 3.1584.36 ± 3.1783.93 ± 3.243<0.001 *
Female †
(per day)
3.61 ± 3.1084.88 ± 3.3299.37 ± 5.90710.95 ± 5.25311.78 ± 5.879<0.001 *
Early-teen male †
(per day)
0.33 ± 0.9650.52 ± 1.0710.59 ± 1.3360.69 ± 1.3760.39 ± 0.955<0.001 *
Late-teen male †
(per day)
2.30 ± 2.1322.78 ± 2.4773.30 ± 2.7643.67 ± 2.7723.54 ± 3.119<0.001 *
Early-teen female †
(per day)
0.55 ± 1.4170.61 ± 1.2472.06 ± 1.2472.01 ± 2.4511.56 ± 2.027<0.001 *
Late-teen female †
(per day)
3.06 ± 2.5894.28 ± 3.0397.32 ± 4.4988.94 ± 4.69210.22 ± 5.460<0.001 *
Season<0.001 *
Spring589 (25.7)799 (26.7)1057 (21.8)1383 (24.8)1230 (21.4)<0.001 *
Summer631 (27.6)844 (28.3)1517 (31.4)1500 (26.9)1651 (28.7)<0.001 *
Autumn630 (27.6)727 (24.4)1325 (27.4)1558 (27.9)1634 (28.4)<0.001 *
Winter437 (19.1)616 (20.6)941 (19.4)1145 (20.5)1236 (21.5)<0.001 *
Region0.019 *
Metropolitan1005 (44.0)1307 (43.8)2111 (43.6)2327 (41.6)2574 (44.7)
Non-Metropolitan1281 (56.0)1680 (56.2)2727 (56.4)3261 (58.4)3179 (55.3)
Transportation<0.001 *
119 ambulance907 (39.7)1179 (39.5)1897 (39.2)2260 (40.5)2485 (43.2)
Other ambulance138 (6.0)168 (5.6)238 (4.9)195 (3.5)171 (3.0)
Other vehicle1226 (53.6)1633 (54.7)2686 (55.5)3100 (55.5)3065 (53.3)
On foot11 (0.5)7 (0.2)10 (0.2)22 (0.4)29 (0.5)
Unknown4 (0.2)0 (0.0)8 (0.2)8 (0.1)3 (0.1)
KTAS<0.001 *
1–31252 (54.8)1642 (55.0)2713 (56.1)3166 (56.7)3432 (59.7)
4–51033 (45.2)1344 (45.0)2127 (43.9)2421 (43.3)2316 (40.3)
Method<0.001 *
Ingestion902 (39.4)1128 (37.8)2100 (43.4)2417 (43.3)2439 (42.4)
Cutting/stabbing1109 (48.4)1478 (49.5)2172 (44.9)2637 (47.2)2699 (46.9)
Drowning27 (1.2)25 (0.8)36 (0.7)49 (0.9)60 (1.0)
Asphyxia/Hanging55 (2.4)73 (2.4)110 (2.3)111 (2.0)126 (2.2)
Fall112 (4.9)131 (4.4)207 (4.3)206 (3.7)263 (4.6)
Others84 (3.7)151 (5.1)215 (4.4)164 (2.9)165 (2.9)
Outcome0.227
Survival2215 (96.9)2923 (97.9)4717 (97.5)5455 (97.7)5605 (97.4)
Death59 (2.6)43 (1.9)89 (1.8)98 (1.8)107 (1.9)
Unknown13 (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 ± 6:164:22 ± 5:444:50 ± 6:014:47 ± 5:574:40 ± 5:570.011 *
Mean Admission Days10.1 ± 15.209.3 ± 14.899.6 ± 14.959.4 ± 15.1510.0 ± 14.520.778
KTAS: Korean Triage and Acuity Scale. ICU: Intensive Care Unit. p-values were obtained by one-way ANOVA or chi-squared test. Values in parentheses represent percent. *: Statistically significant at p < 0.05. †: Values presented as mean frequency ± standard deviation per 100,000.
Table 2. Comparison before and after the start of the COVID-19 pandemic by sex and age.
Table 2. Comparison before and after the start of the COVID-19 pandemic by sex and age.
Male (N = 2617)Female (N = 7258)
Before
N = 1386)
After
(N = 1231)
p-ValueBefore
(N = 3501)
After
(N = 3757)
p-Value
ET †Per day0.78 ± 1.4650.39 ± 0.949<0.001 *2.10 ± 2.5001.61 ± 2.0960.009 *
LT †Per day3.75 ± 2.8633.64 ± 3.2520.0659.34 ± 4.77910.66 ± 5.5790.002 *
Season (per day)
ET †Spring0.77 ± 1.5310.21 ± 0.5400.001 *2.27 ± 2.6791.25 ± 1.9400.003 *
Summer1.06 ± 1.5790.53 ± 1.0840.009 *1.94 ± 2.5291.29 ± 1.6520.042 *
Autumn0.75 ± 1.4290.52 ± 1.2020.2442.13 ± 2.2762.28 ± 2.4310.672
Winter0.07 ± 0.2700.10 ± 0.2920.6411.97 ± 2.5771.68 ± 2.2730.645
LT †Spring3.51 ± 3.1483.55 ± 3.0040.9378.48 ± 4.8198.36 ± 4.7000.871
Summer3.77 ± 2.7824.38 ± 3.1080.1689.53 ± 4.85711.75 ± 5.1590.003 *
Autumn4.05 ± 2.8523.28 ± 3.6620.11510.20 ± 4.20711.88 ± 5.7480.026 *
Winter3.50 ± 2.2092.75 ± 2.7830.2508.84 ± 5.67910.71 ± 6.7240.241
Region
ETMetropolitan92 (38.5)61 (51.7)0.018 *280 (43.5)207 (41.9)0.579
Non-metropolitan147 (61.5)57 (48.3) 363 (56.5)287 (58.1)
LTMetropolitan465 (40.5)466 (41.9)0.5211207 (42.2)1501 (46.0)0.003 *
Non-metropolitan682 (59.5)647 (58.1) 1651 (57.8)1763 (54.0)
Region (per day)
ET †Metropolitan0.30 ± 0.8440.20 ± 0.6360.1000.91 ± 1.5060.68 ± 1.1710.029 *
Non-metropolitan0.48 ± 1.2130.19 ± 0.676<0.001 *1.18 ± 1.9950.94 ± 1.6160.092
LT †Metropolitan1.52 ± 1.5051.52 ± 1.6240.9923.95 ± 2.5514.90 ± 3.398<0.001 *
Non-metropolitan2.23 ± 2.4172.11 ± 2.6100.5775.40 ± 4.0415.76 ± 4.3800.286
Transportation
ET119 ambulance61 (25.5)46 (39.0)0.007 *202 (31.4)208 (42.0)0.001 *
Other ambulance18 (7.5)0 (0.0) 17 (2.6)18 (3.6)
Other vehicle160 (66.9)72 (61.0) 423 (65.8)268 (54.1)
On foot0 (0.0)0 (0.0) 1 (0.2)1 (0.2)
Unknown0 (0.0)0 (0.0) 0 (0.0)0 (0.0)
LT119 ambulance529 (46.2)593 (53.3)0.001 *1167 (40.8)1297 (39.7)0.186
Other ambulance43 (3.8)30 (2.7) 100 (3.5)91 (2.8)
Other vehicle570 (49.7)489 (44.0) 1569 (54.9)1851 (56.7)
On foot4 (0.3)0 (0.0) 16 (0.6)21 (0.6)
Unknown0 (0.0)0 (0.0) 7 (0.2)3 (0.1)
KTAS
ET1–3111 (46.4)59 (49.6)0.576367 (57.1)314 (63.6)0.027 *
4–5128 (53.6)60 (50.4) 276 (42.9)180 (36.4)
LT1–3523 (45.6)636 (57.1)<0.001 *1810 (63.3)1999 (61.3)0.073
4–5624 (54.4)477 (42.9) 1049 (36.7)1262 (38.7)
Method
ETIngestion61 (25.5)36 (30.5)0.003 *309 (48.2)210 (42.5)0.008 *
Cutting/stabbing143 (59.8)58 (49.2)274 (42.7)209 (42.3)
Drowning3 (1.3)0 (0.0)3 (0.5)2 (0.4)
Asphyxia/Hanging6 (2.5)14 (11.9)10 (1.6)10 (2.0)
Fall12 (5.0)7 (5.9)25 (3.9)46 (9.3)
Others14 (5.9)3 (2.5)20 (3.1)17 (3.4)
LTIngestion357 (31.1)368 (33.1)0.0531423 (49.8)1500 (46.0)0.037 *
Cutting/stabbing660 (57.5)582 (52.3)1194 (41.8)1479 (45.3)
Drowning19 (1.7)18 (1.6)23 (0.8)33 (1.0)
Asphyxia/Hanging30 (2.6)42 (3.8)47 (1.6)41 (1.3)
Fall45 (3.9)67 (6.0)95 (3.3)118 (3.6)
Others36 (3.1)36 (3.2)77 (2.7)92 (2.8)
Outcome
ETSurvival223 (93.3)102 (86.4)0.016 *626 (97.4)480 (97.4)0.873
Death13 (5.4)16 (13.6) 12 (1.9)8 (1.6)
Unknown3 (1.3)0 (0.0) 5 (0.8)5 (1.0)
LTSurvival1114 (97.1)1075 (96.6)0.0872817 (98.5)3203 (98.1)0.081
Death23 (2.0)34 (3.1) 33 (1.2)37 (1.1)
Unknown10 (0.9)4 (0.4) 9 (0.3)24 (0.7)
Admission
ETAdmission (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)0.01245 (28.5)37 (26.2)0.665
ET stay time (h:mm)2:53 ± 4:253:48 ± 6:040.1385:02 ± 5:285:21 ± 6:410.477
Admission day9.5 ± 12.457.5 ± 8.620.5069.8 ± 12.6212.6 ± 14.760.139
LTAdmission (among total)253 (22.1)264 (23.7)0.759701 (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 ± 5:334:10 ± 5:090.3615:02 ± 6:105:02 ± 5:530.960
Admission day8.9 ± 14.9910.0 ± 14.220.4689.0 ± 14.9310.0 ± 15.510.254
ET: early teen (10–14 years old), LT: late teen. KTAS: Korean Triage and Acuity Scale. ICU: Intensive Care Unit. p-values were obtained by t-test or chi-squared test. Values in parentheses represent percent. *: Statistically significant at p < 0.05. †: Values presented by mean frequency ± standard deviation per 100,000.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

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

AMA Style

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 Style

Park, 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 Style

Park, 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

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop