Changes in Suicide Rate and Characteristics According to Age of Suicide Attempters before and after COVID-19
Abstract
:1. Introduction
2. Materials and Methods
2.1. Research Design and Setting
2.2. Selection of Participants
2.3. Data Collection
2.4. Data Analysis
3. Results
3.1. Baseline Characteristics
3.2. Suicide Attempt Related Characteristics
4. Discussion
- As the risk of suicide attempts among people with pre-existing mental disorders has increased, policy help is needed to actively manage mental health by increasing the use of telemedicine and other digital means [45].
- Since social isolation, a strategy for mitigating the risk of spreading the virus, could increase the risk of suicidal thoughts, it would be helpful to increase social welfare services for the socioeconomically underprivileged and the elderly living alone [46].
- As a retrospective study, this study may have selection bias and confounding variables.
- It is difficult to generalize the results of this study since it targeted patients who visited one university hospital. The results may be generalized by using NEDIS, which is a database for patients visiting emergency departments across the country.
- This study did not objectively evaluate the severity of suicide attempts. Further studies are needed to objectively evaluate the severity through known scales such as Columbia-Suicide Severity rating Scale (C-SSRS) [47] and The scale for assessment of lethality of suicide attempt (SALSA) [48] in order to find factors related to the severity.
- Since the COVID-19 pandemic is still ongoing, it is impossible to conclude the impact of COVID-19 on suicide based on the first year of the outbreak. Accordingly, it may be necessary to conduct a follow-up study on suicide attempts after COVID-19 is over depending on the progress of the pandemic.
- This study tried to report the factors related to suicide attempts before and after COVID-19 by age, but due to the short period and lack of N numbers, the multivariate model could not find any significant related factors. In the future, we plan to conduct multivariate analysis by collecting additional data.
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Conflicts of Interest
References
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Before COVID-19 | After COVID-19 | |||||||
---|---|---|---|---|---|---|---|---|
Adolescent (<19 Years) (N = 77) | Adult (19–65 Years) (N = 696) | Elderly (>65 Years) (N = 80) | Adolescent (<19 Years) (N = 42) | Adult (19–65 Years) (N = 314) | Elderly (>65 Years) (N = 32) | p-Value | ||
Gender, N (%) | Male | 13 (16.9) | 246 (35.3) | 45 (56.2) | 13 (30.9) | 107 (34.1) | 14 (43.8) | <0.001 † |
Female | 64 (83.1) | 450 (64.7) | 35 (43.8) | 29 (69.1) | 207 (65.9) | 18 (56.3) | ||
Marital status, N (%) | Single | 77 (100.0) | 373 (53.6) | 2 (2.5) | 42 (100.0) | 192 (61.1) | 3 (9.4) | <0.001 †† |
Married | 0 (0.0) | 256 (36.8) | 70 (87.5) | 0 (0.0) | 93 (29.6) | 22 (68.7) | ||
Partner | 0 (0.0) | 4 (0.6) | 0 (0.0) | 0 (0.0) | 4 (1.3) | 0 (0.0) | ||
Separated | 0 (0.0) | 9 (1.3) | 0 (0.0) | 0 (0.0) | 4 (1.3) | 0 (0.0) | ||
Divorced | 0 (0.0) | 45 (6.5) | 0 (0.0) | 0 (0.0) | 14 (4.5) | 0 (0.0) | ||
Widowed | 0 (0.0) | 9 (1.3) | 8 (10.0) | 0 (0.0) | 7 (2.2) | 7 (21.9) | ||
Underlying disease, N (%) | Healthy | 75 (97.4) | 498 (71.6) | 24 (30.0) | 40 (95.2) | 255 (81.2) | 5 (15.6) | <0.001 †† |
Recent acute illness | 0 (0.0) | 3 (0.4) | 2 (2.5) | 0 (0.0) | 5 (1.6) | 0 (0.0) | ||
Chronic disease, not interfering with life. | 1 (1.3) | 124 (17.8) | 31 (38.8) | 2 (4.8) | 32 (10.2) | 13 (40.6) | ||
Chronic disease, interfering with life. | 1 (1.3) | 71 (10.2) | 23 (28.7) | 0 (0.0) | 22 (7.0) | 14 (43.8) | ||
Insurance type, N (%) | NHI 1 | 66 (85.7) | 570 (81.9) | 66 (82.5) | 37 (88.1) | 280 (89.2) | 24 (75.0) | 0.010 †† |
Medical care 1 | 3 (3.9) | 59 (8.5) | 8 (10.0) | 1 (2.5) | 16 (5.1) | 1 (3.1) | ||
Medical care 2 | 2 (2.6) | 22 (3.1) | 0 (0.0) | 2 (4.7) | 5 (1.6) | 0 (0.0) | ||
No insurance | 6 (7.8) | 45 (6.5) | 6 (7.5) | 2 (4.7) | 13 (4.1) | 7 (21.9) |
Before COVID-19 | After COVID-19 | |||||||
---|---|---|---|---|---|---|---|---|
Adolescent (<19 Years) (N = 77) | Adult (19–65 Years) (N = 696) | Elderly (>65 Years) (N = 80) | Adolescent (<19 Years) (N = 42) | Adult (19–65 Years) (N = 314) | Elderly (> 65 years) (N = 32) | p-Value | ||
Alcohol consumption at the time of suicide, N (%) | Yes | 11 (14.3) | 271 (38.9) | 15 (18.7) | 6 (14.3) | 137 (43.6) | 4 (12.5) | <0.001 † |
No | 66 (85.7) | 425 (61.1) | 65 (81.3) | 36 (85.7) | 177 (56.4) | 28 (87.5) | ||
Current suicidal thought, N (%) | Yes | 29 (37.7) | 237 (34.1) | 25 (31.3) | 19 (45.2) | 94 (29.9) | 6 (18.7) | 0.139 † |
No | 48 (62.3) | 459 (65.9) | 55 (68.7) | 23 (54.8) | 220 (70.1) | 26 (81.3) | ||
Suicide plan, N (%) | Yes | 6 (7.8) | 60 (8.6) | 6 (7.5) | 2 (4.8) | 3 (1.0) | 1 (3.1) | <0.001 †† |
No | 71 (92.2) | 636 (91.4) | 74 (92.5) | 40 (95.2) | 311 (99.0) | 31 (96.9) | ||
Joint suicide, N (%) | Yes | 0 (0.0) | 9 (1.3) | 7 (8.7) | 1 (2.4) | 3 (1.0) | 0 (0.00) | <0.001 †† |
No | 77 (100.0) | 687 (98.7) | 73 (91.3) | 41 (97.6) | 311 (99.0) | 32 (100.00) | ||
Motive for suicide attempt, N (%) | Psychiatric | 13 (16.9) | 123 (17.7) | 9 (11.3) | 27 (64.3) | 112 (35.7) | 8 (25.0) | <0.001 †† |
Inter-personal | 18 (23.4) | 88 (12.6) | 2 (2.5) | 5 (11.9) | 58 (18.5) | 3 (9.4) | ||
Work-related | 10 (13.0) | 23 (3.3) | 1 (1.2) | 2 (4.7) | 9 (2.9) | 0 (0.0) | ||
Economic | 0 (0.0) | 38 (5.5) | 0 (0.0) | 0 (0.0) | 14 (4.5) | 2 (6.2) | ||
Physical illness | 0 (0.0) | 22 (3.2) | 14 (17.5) | 1 (2.4) | 8 (2.5) | 8 (25.0) | ||
Death of others or serious illness | 0 (0.0) | 7 (1.0) | 1 (1.2) | 0 (0.0) | 3 (0.9) | 3 (9.4) | ||
Fight | 9 (11.7) | 111 (15.9) | 9 (11.3) | 6 (14.3) | 29 (9.2) | 1 (3.1) | ||
Etc. | 27 (35.0) | 284 (40.8) | 44 (55.0) | 1 (2.4) | 81 (25.8) | 7 (21.9) | ||
Previous suicide attempt, N (%) | Yes | 41 (53.2) | 220 (31.6) | 6 (7.5) | 30 (71.4) | 105 (33.4) | 3 (9.4) | <0.001 † |
No | 36 (46.8) | 476 (68.4) | 74 (92.5) | 12 (28.6) | 209 (66.6) | 29 (90.6) | ||
Psychiatric Hx., N (%) | Yes | 39 (50.7) | 407 (58.5) | 36 (45.0) | 29 (69.1) | 175 (55.7) | 11 (34.4) | 0.008 † |
No | 38 (49.3) | 289 (41.5) | 44 (55.0) | 13 (30.9) | 139 (44.3) | 21 (65.6) | 0.008 † | |
Suicide attempt methods, N (%) | Poisoning | 39 (50.6) | 412 (59.2) | 51 (63.8) | 22 (52.4) | 189 (60.2) | 20 (62.5) | <0.001 †† |
Cutting | 24 (31.2) | 171 (24.6) | 10 (12.5) | 17 (40.5) | 78 (24.8) | 0 (0.0) | ||
Falling | 9 (11.7) | 32 (4.6) | 9 (11.2) | 2 (4.7) | 16 (5.1) | 4 (12.5) | ||
Hanging | 3 (3.9) | 51 (7.3) | 10 (12.5) | 1 (2.4) | 27 (8.6) | 7 (21.9) | ||
Other method | 2 (2.6) | 30 (4.3) | 0 (0.0) | 0 (0.00) | 4 (1.3) | 1 (3.1) | ||
Results of ED discharge, N (%) | Discharge | 56 (72.7) | 518 (74.5) | 34 (42.5) | 26 (61.9) | 246 (78.3) | 16 (50.0) | <0.001 †† |
Transfer | 0 (0.0) | 5 (0.7) | 1 (1.2) | 2 (4.8) | 9 (2.9) | 0 (0.0) | ||
General hospitalization | 13 (16.9) | 85 (12.2) | 16 (20.0) | 14 (33.3) | 35 (11.2) | 1 (3.1) | ||
ICU 1 admissions | 5 (6.5) | 44 (6.3) | 10 (12.5) | 0 (0.0) | 8 (2.5) | 5 (15.6) | ||
Deaths | 3 (3.9) | 44 (6.3) | 19 (23.8) | 0 (0.0) | 16 (5.1) | 10 (31.3) |
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Kim, M.-J.; Paek, S.-H.; Kwon, J.-H.; Park, S.-H.; Chung, H.-J.; Byun, Y.-H. Changes in Suicide Rate and Characteristics According to Age of Suicide Attempters before and after COVID-19. Children 2022, 9, 151. https://doi.org/10.3390/children9020151
Kim M-J, Paek S-H, Kwon J-H, Park S-H, Chung H-J, Byun Y-H. Changes in Suicide Rate and Characteristics According to Age of Suicide Attempters before and after COVID-19. Children. 2022; 9(2):151. https://doi.org/10.3390/children9020151
Chicago/Turabian StyleKim, Min-Jung, So-Hyun Paek, Jae-Hyun Kwon, Soo-Hyun Park, Hyun-Jung Chung, and Young-Hoon Byun. 2022. "Changes in Suicide Rate and Characteristics According to Age of Suicide Attempters before and after COVID-19" Children 9, no. 2: 151. https://doi.org/10.3390/children9020151
APA StyleKim, M. -J., Paek, S. -H., Kwon, J. -H., Park, S. -H., Chung, H. -J., & Byun, Y. -H. (2022). Changes in Suicide Rate and Characteristics According to Age of Suicide Attempters before and after COVID-19. Children, 9(2), 151. https://doi.org/10.3390/children9020151