ORIGINAL RESEARCH article

Front. Psychiatry, 18 June 2024

Sec. Adolescent and Young Adult Psychiatry

Volume 15 - 2024 | https://doi.org/10.3389/fpsyt.2024.1383992

Suicidal ideation and suicide attempts among students aged 12 to 24 after the lifting of COVID-19 restrictions in China: prevalence and associated factors

  • 1. Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China

  • 2. West China School of Nursing, Sichuan University, Chengdu, Sichuan, China

  • 3. Institute of Psychiatry, West China Hospital, Sichuan University, Chengdu, Sichuan, China

  • 4. Institute of Forensic Medicine, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, Sichuan, China

  • 5. Institute for Disaster Management and Reconstruction, Sichuan University, Chengdu, Sichuan, China

  • 6. Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China

Abstract

Objective:

To investigate the prevalence and associated factors of suicidal ideation and suicide attempts among adolescent and young adults in China from December 14, 2022 to February 28, 2023, when COVID-19 restrictions were lifted.

Methods:

Students in middle and high schools and colleges and universities in the province of Sichuan, China were asked to complete on-line cross-sectional surveys. Information was collected about sociodemographics, experiences related to the COVID-19 pandemic, suicidal ideation and suicide attempts. Participants also filled out the Patient Health Questionnaire-9, the Generalized Anxiety Disorder-7 and the Social Support Rate Scale surveys. Factors associated with suicidal ideation or suicide attempts were explored using logistic regression.

Results:

Of the 82,873 respondents (aged 12 to 24 years), 21,292 (25.7%) reported having thought of suicide at least once in their lifetime, 10,382 (12.5%) reported having thought about suicide within the previous 12 months, and 1,123 (1.4%) reported having attempted it within the previous 12 months. Risk of lifetime suicidal ideation was higher among middle school students than among older students. Risk of suicidal ideation and risk of suicide attempts correlated directly with severity of symptoms of depression and anxiety, and inversely with level of social support. Greater risk of suicidal ideation and suicidal attempts was associated with: being female, living in an urban environment, attending a boarding school, currently being in love, having parents who divorced or remarried, having parents who exhibit non-authoritative parenting behavior, having higher family income, having been COVID-19 infected, having been quarantined for a long time, and being dissatisfied with one’s education.

Conclusions:

Suicidal ideation and suicide attempts remain prevalent among young people in China. The potential associated factors identified in our study may be useful for targeting appropriate psychosocial interventions and developing mental health policies.

Introduction

Mental health problems are common in young people. In 2019, the global the reported mean prevalence of mental disorders in 5- to 24-year-olds was 11.63% (1). The prevalence of mental disorders in the age 5 to 9 years group was estimated at approximately half (6.81%; 95% UI, 5.58–8.03) the rate recorded for the age 20 to 24 years group (13.63%; 95% UI, 11.90–15.53) (1). The steep increase in mood disorders across early to late adolescence is particularly striking (1).

Also concerning is the notable increase in suicidal thoughts, attempts, and competitions that emerges in adolescents (2). In fact, suicide is the third leading cause of injury-related death among adolescents (3), and in China, it is one of the most frequent causes of death among people aged 15–34 years (4). The prevalence of suicidal ideation, defined as thoughts of harming or killing oneself actively or passively (5), ranges from 17.7% to 23.5% among adolescents with a mean age of 15 ± 1 years in China (6) which compares to 18.8% in the US (7). In a survey of students aged 10–20 years in four provinces in China between 2017 and 2018 (8), 24.6% reported suicidal ideation during the previous 12 months, while 12.0% reporting having planned suicide and 4.9% reported attempting suicide. A study of more than a quarter million adolescents aged 11–17 years across 77 countries from the 2020 Global School-based Student Health Survey (GSHS) indicated population-weighted prevalences of 18% for suicidal ideation and 16% for suicide attempts during the previous 12 months (9). Given these high rates, it is not surprising that suicide is a global public health concern among young people (10).

Although the literature clearly indicates high prevalence of suicidal ideation and suicide attempts around the world, how these prevalences vary during developmental stages, from early adolescence through to early adulthood, is poorly understood. To address this gap in knowledge, we survey a large population of students aged 12 to 24. Data were collected between December 14, 2022 to February 28, 2023, when COVID-19 restrictions were lifted. During the COVID-19 pandemic there were three phases of pandemic response in China (11): 1) nation-wide lockdown (January 1, 2020 to April 29, 2020); 2) routine infection prevention and control (April 30, 2020 to December 6, 2022); and 3) lifting of COVID-19 re strictions (after December 7, 2022).

Substantial evidence indicates that the pandemic and associated biosafety measures, including lockdowns, home confinement, self-isolation, and social distancing (12, 13), have contributed to a rise in mental health problems among adolescents, such as sleep problems, anxiety, depression, and suicidality (14). A two-wave longitudinal web-based survey revealed that 20.0% of high school students aged 12 to 18 reported suicidal ideation or suicide attempts between July 11 and July 23, 2020 (15). In another Chinese study, 19.6% of university students endorsed suicidal ideation between March 20th and April 10th 2020 (16). A study on high school students in China during nation-wide lockdown showed that 31.3% and 7.5% of students reported suicidal ideation and attempts, respectively (17). Taken together, the prevalence of suicide ideation and suicide attempt among children and adolescents increased during the COVID-19 pandemic compared with that before the pandemic. In a meta-analysis of 11.1 million emergency department (ED) visits for any health issue, an increase of 22% in ED visits for suicide attempts was found during the pandemic. The increase for suicide attempts was particularly pronounced for teenage girls (39% vs. 6% for teenage boys) (18).

Even though essentially all COVID-19 restrictions were lifted in China in December 2022 and even earlier in other parts of the world, the continuing risk of COVID-19 infection, distress around such infection and its consequences, and the financial consequences of the pandemic on employment and family businesses may have affected mental health (1921), and suicidality in particular. This may be especially true for adolescents and young adults, when their social and learning need to belong is strongest, but when this need was restricted due to COVID-19 pandemic (22).

The psychosocial factors affecting adolescent suicide are complex. A previous review identified three main factors that appear to increase the risk of suicidality: psychological factors (depression, anxiety, and previous suicide attempt); stressful life events (family problems and peer conflicts); and personality traits (such as neuroticism and impulsivity) (23). Another study found the factors that increased the attempted suicide possibility: included being a woman, being under 16 years of age, living in an unfavorable family conditions or having a poor communication with parents, having low self-esteem, behavioral or learning problems or having a mental disorder; or having been forced into sexual contact. A cross-sectional study also found that early romantic experiences and sexual behavior were associated with poorer adolescent health and well-being outcomes (24). In Chinese adolescents, sexual violence was found to be related to suicide ideation (25). Suicide is a multidimensional and multicausal problem associated with social determinants of health (26). As a result, its incidence and influencing factors need to be further explored, especially after the lifting of COVID-19 restrictions.

In the present study we surveyed students from middle schools, high schools, colleges and universities in the province of Sichuan, China to assess the prevalence of suicidal ideation and suicide attempts after the lifting of COVID-19 restrictions. In addition, we examined associated factors that might predict risk of such suicidal behavior in the aftermath of the pandemic. These findings contribute to our understanding of suicide behavior among adolescents.

Methods

Study population

An online questionnaire was prepared using the Wenjuanxing platform (www.wjx.cn) and sent to a convenience sample of school principals or teachers at middle schools, high schools, colleges and universities in Sichuan province, China. The principals and teachers were asked to forward the questionnaire to their students, who were invited to complete the survey from December 14, 2022 to February 28, 2023. To access the questionnaire, students had to provide informed consent for their anonymized responses to be analyzed and published for research purposes.

Students were included in the study if they were 12–24 years old and able to read and understand the questionnaire. Students were excluded if they had difficulty completing the questionnaire. For example, without a mobile phone, or it is not possible to answer all questions. Of the 90,118 students who began to fill it out, 82,873 (92.0%) provided informed consent and completed the survey, while 7245 (8.0%) did not. The overall study was approved by the Biomedical Research Ethics Committee at West China Hospital of Sichuan University (2022–1790).

Questionnaire

The survey had four parts and required 15–25 minutes to complete. The first part collected data on sociodemographic characteristics, including gender, age, type of registered residence (rural or urban), currently being in love, marital status, household family income level, and parenting style. The second part asked about the students’ experiences during the COVID-19 pandemic, including history of COVID-19 infection, time spent in quarantine, home-based study, impact of the pandemic on academic performance, whether their studies had returned to normal, satisfaction with his or her own academic performance, impact of the pandemic on future study or employment, psychological knowledge learning, and concern about COVID-19 infection in the future.

The third part of the questionnaire integrated three international instruments for evaluating symptoms of depression and anxiety, as well as level of social support. The Patient Health Questionnaire-9 (27) was used to assess depression as “none” (scores of 0–4), “mild” (scores of 5–9), “moderate” (scores of 10–14), or “severe” (scores of 15–27). This survey has shown good psychometric performance in samples of Chinese adolescents (28). The Generalized Anxiety Disorder-7 (29) was used to categorize the severity of possible anxiety, based on symptoms during the previous two weeks, as “none” (scores 0–4), “mild” (scores 5–9), “moderate” (scores of 10–14) or “severe” (scores of 15–21). This survey has shown Cronbach’s α of 0.92 on a Chinese sample (30). The Social Support Rate Scale (31) was used to categorize an individual’s level of social support as “low” (scores ≤ 22), “medium” (scores of 23–44) or “high” (scores of 45–66) (32). This survey has shown good validity and reliability in multiple Chinese samples (33, 34).

The fourth part of the questionnaire asked “Have you ever thought of committing suicide in your life?” to which the respondent could answer “Yes” or “No”; and “Have you had any suicidal thoughts or behaviors in the past 12 months?” to which the respondent could answer “Yes, have had suicidal thoughts”, “Yes, have had suicidal behaviors”, or “No”. These two questions can be effective for assessing suicidal ideation and suicide attempts (3537).

Statistical analysis

Data were analyzed statistically using SPSS 21.0 (IBM, Armonk, NY, USA), and results associated with a two-sided P < 0.05 were considered statistically significant. Differences between respondents who reported ever having thought about suicide or not were assessed for significance using Pearson chi-squared tests. Differences among those who had thought about suicide, attempted suicide, or neither within the previous 12 months were assessed using Pearson chi-squared tests. Factors that in univariate analysis were significantly associated with suicidal ideation or suicide attempts, as separate outcomes, were entered into logistic regression. In view of the large number of independent variables and large sample size in this study, logistic stepwise forward regression (Likelihood Ratio) method was used to help reduce false positive results. This approach corrects for variables with little contribution and for collinearity.

Results

Demographics of the sample

Of the 90,118 students at 162 middle or high schools, colleges and universities in Sichuan who began to fill out the questionnaire, 82,873 (92.0%) with a mean age of 16.97 ± 2.29 years (range, 12–24 years) completed it, of whom 35,386 (42.7%) were male (Table 1). Nearly half of participants (36,111, 43.6%) were high school students, while nearly equal proportions were attending middle school (24,157, 29.1%) or college or university (22,605, 27.3%).

Table 1

VariablesParticipants, No. (%)VariablesParticipants, No. (%)
GenderHow did your study at home during the COVID-19
 Male35386 (42.7)No learning2335 (2.8)
 Female47487 (57.3)Occasional learning41354 (49.9)
Registered residenceRegular learning39184 (47.3)
 Rural area67740 (81.7)Academic satisfaction during the COVID-19
 Urban area15133 (18.3)Extremely satisfied5 639 (6.8)
School typeSatisfied13 617 (16.4)
 Middle school24157 (29.1)General Satisfied47 704 (57.6)
 High school36111 (43.6)Dissatisfied12 956 (15.6)
 College or university22605 (27.3)Extremely dissatisfied2 957 (3.6)
Accommodation TypeDid your study returned to normal status
 Day pupil10731 (12.9)No recovery8977 (10.8)
 Boarders at school71428 (86.2)Partial recovery56761 (68.5)
 Other714 (0.9)Full recovery17135 (20.7)
Love situationHave you actively learned about mental health related knowledge after the COVID-19
 Not in a romantic relationship74442 (89.8)Yes50455 (60.9)
 Having a boyfriend4636 (5.6)No32418 (39.1)
 Having a girlfriend3209 (3.9)Does the epidemic have an impact on your further study and employment
 Other586 (0.7)No impact20523 (24.8)
Family economic levelMinor impact34114 (41.2)
 Higher than local average1777 (2.1)Significant impact15360 (18.5)
 local average54186 (65.4)Serious impact4124 (5.0)
 Below local average26910 (32.5)Unclear8752 (10.6)
Parents’ marital statusWorry about being infected
 Unmarried1 410 (1.7)Not worried21056 (25.4)
 Married66 948 (80.8)A little worried49271 (59.5)
 Divorce7 525 (9.1)Quite worried8925 (10.8)
 Remarried5 586 (6.7)Extremely worried3621 (4.4)
 Other1 404 (1.7)PHQ-9
Parenting stylesNo depression51309 (61.9)
 Authoritative pattern45 120 (54.4)Mild depression17792 (21.5)
 Autocratic pattern18 593 (22.4)Moderate depression6674 (8.1)
 Neglectful pattern6 378 (7.7)Severe depression7098 (8.6)
 Submissive pattern12 782 (15.4)Anxiety Symptoms
Have you been infected with COVID-19No anxiety56482 (68.2)
 Yes33314 (40.2)Mild anxiety16910 (20.4)
 No49559 (59.8)Moderate anxiety6718 (8.1)
Quarantine timeSevere anxiety2763 (3.3)
 0 days58639 (70.8)Social support
 <7 days10536 (12.7)Low-level4264 (5.1)
 7–14 days10458 (12.6)Medium-level76843 (92.7)
 >14 days3240 (3.9)High-level1766 (2.1)

Demographic Characteristics and Epidemic-Related Information for the Total Sample.

Most students (74,442, 89.8%) reported that they were not currently in love. More than half (54186, 65.4%) reported that their family’s household income was around the local average, while just over half (45,120, 54.4%) considered the parenting style at home to be authoritative, followed by autocratic (18,593, 22.4%), submissive (12,782, 15.4%) and neglectful (6,378, 7.7%). Fewer than half of participants (33,314, 40.2%) reported having been infected with the SARS-CoV-2 virus, and just over one quarter (24,234, 29.2%) reported having been quarantined.

Suicidal ideation and suicide attempts among students

Table 2 shows the prevalence of suicidal ideation and attempts in participants. Overall, 21292 participants (25.7%) reported lifetime suicidal ideation, 10382 participants (12.5%) had suicidal ideation in the past year, and 1123 participants (1.4%) had suicide attempts in the past year. The results showed that the lifetime suicidal ideation was more prevalent for participants who were female, middle and high school students, from urban area, with higher family economic level than local average, COVID-19 infection, with quarantine experience, with worse academic performance, and without learning mental health knowledge (P<0.05). Different levels of anxiety symptoms, depression symptoms, and social support were significantly related to the lifetime suicidal ideation (P<0.05). Most factors that affected lifetime suicidal ideation were also factors that affected 12-month suicidal ideation and attempts. But there were no statistically significant differences among the three factors of registered residence location, family economic level and academic performance in the 12-month suicidal ideation and attempts (P>0.05).

Table 2

VariablesLifetime Suicidal Ideation12-month Suicidal Ideation or Suicide Attempts
Yes
N (%)
No
N (%)
χ2PSuicidal Ideation
N (%)
Suicide Attempts
N (%)
Noχ2P
Overall21292 (25.7)61581 (74.3)10382 (12.5)1123 (1.4)9787 (11.8)
Gender
 Male6941 (19.6)28445 (80.4)1194.6560.0003215 (9.1)286 (0.8)3440 (9.7)67.5340.000
 Female14351 (30.2)33136 (69.8)7167 (15.1)837 (1.8)6347 (13.4)
Registered residence
 Rural area17062 (25.2)50678 (74.8)49.5230.0008358 (12.3)875 (1.3)7829 (11.6)4.4860.106
 Urban area4230 (28.0)10903 (72.0)2024 (13.4)248 (1.6)1958 (12.9)
School type
 Middle school5121 (21.2)19036 (78.8)449.1040.0002760 (11.4)428 (1.8)1933 (8.0)634.7310.000
 High school10430 (28.9)25681 (71.1)5416 (15.0)534 (1.5)4480 (12.4)
 College or University5741 (25.4)16864 (74.6)2206 (9.8)161 (0.7)3374 (14,9)
Accommodation Type
 Day pupil2479 (23.1)8252 (76.9)43.3840.0001326 (12.4)169 (1.6)984 (9.2)55.3070.000
 Boarders at school18629 (26.1)52799 (74.0)8977 (12.6)938 (1.3)8714 (12.2)
 Other184 (25.8)530 (74.2)79 (11.1)16 (2.2)89 (12.5)
Love situation
 Not in a
 romantic relationship
18749 (25.2)55693 (74.8)196.6050.0009203 (12.4)958 (1.3)8588 (11.5)45.1890.000
 Having a boyfriend1568 (33.8)3068 (66.2)720 (15.5)85 (1.8)763 (16.5)
 Having a girlfriend775 (24.2)2434 (75.8)363 (11.3)51 (1.6)361 (11.2)
 Other200 (34.1)385 (65.7)96 (16.4)29 (4.9)75 (12.8)
Family economic level
 Higher than local average537 (30.2)1240 (69.8)173.8400.000262 (14.7)32 (1.8)243 (13.7)1.8950.755
 Local average13140 (24.2)41046 (75.8)6392 (11.8)676 (1.2)6072 (11.2)
 Below local average7615 (28.3)19295 (71.7)3728 (13.9)415 (1.5)3472 (12.9)
Parental marriage
 Unmarried388 (27.5)1022 (72.5)366.9830.000216 (15.3)19 (1.3)153 (10.9)111.5560.000
 Married16280 (24.3)50668 (75.7)7697 (11.5)798 (1.2)7785 (11.6)
 Divorce2333 (31.0)5192 (69.0)1221 (16.2)139 (1.8)973 (12.9)
 Remarried1804 (32.3)3782 (67.7)983 (17.6)130 (2.3)691 (12.4)
 Other487 (34.7)917 (65.3)265 (18.9)37 (2.6)185 (13.2)
Parenting style
 Authoritative pattern9010 (20.0)36110 (80.0)2214.8850.0003971 (8.8)394 (0.9)4645 (10.3)243.2510.000
 Autocratic pattern6021 (32.4)12572 (67.6)3174 (17.1)356 (1.9)2491 (13.4)
 Neglective pattern2731 (42.8)3647 (57.2)1494 (23.4)196 (3.1)1041 (16.3)
 Submissive pattern3530 (27.6)9252 (72.4)1743 (13.6)177 (1.4)1610 (12.6)
Have you been infected with COVID-19
 Yes9962 (30.0)23352 (70.1)517.4340.0004980 (14.9)539 (1.6)4443 (13.3)14.0680.001
 No11330 (22.9)38229 (77.1)5402 (10.9)584 (1.2)5344 (10.8)
Quarantine time
 0 days14099 (24.0)44540 (76.0)372.5870.0006815 (11.6)739 (1.3)6545 (11.2)
 <7 days2949 (28.0)7587 (72.0)1438 (48.8)144 (4.9)1367 (46.4)15.9060.014
 7–14 days3073 (29.6)7385 (70.4)1575 (50.7)160 (5.3)1338 (44.0)
 >14 days1171 (36.1)2069 (63.9)554 (47.3)80 (6.8)537 (45.9)
How did you study at home during the COVID-19
 No learning888 (38.0)1447 (62.0)1054.9740.000501 (21.5)47 (2.0)340 (14.6)26.7890.000
 Occasional learning12298 (29.7)29056 (70.3)5996 (14.5)668 (1.6)5634 (13.6)
 Regular learning8106 (20.7)31078 (79.3)3885 (9.9)408 (1.0)3813 (9.7)
Academic during the COVID-19
 Academic progress2636 (17.1)12779 (82.9)1141.2950.0001284 (8.3)110 (0.7)1242 (8.1)9.4660.050
 Almost no impact7835 (24.1)24642 (75.9)3780 (11.6)423 (1.3)3632 (11.2)
 Academic decline10821 (30.9)24160 (69.1)5318 (15.2)590 (1.7)4913 (14.0)
Academic satisfaction
 Extremely satisfied1027 (18.2)4612 (81.8)2738.7950.000529 (9.4)36 (0.6)462 (8.2)311.9090.000
 Satisfied2161 (15.9)11456 (84.1)901 (6.6)85 (0.6)1175 (8.6)
 General Satisfied11820 (24.8)35884 (75.2)5520 (11.6)575 (1.2)5725 (12.0)
 Dissatisfied4759 (36.7)8197 (63.3)2504 (19.3)290 (2.2)1965 (15.2)
 Extremely dissatisfied1525 (51.6)1432 (48.4)928 (31.4)137 (4.6)460 (15.5)
Did your study returned to normal status
 No recovery3374 (37.6)5603 (62.4)1240.4420.0001875 (20.9)227 (2.5)1272 (14.2)135.5050.000
 Partial recovery14878 (26.2)41883 (73.8)7165 (12.6)759 (1.3)6954 (12.3)
 Full recovery3040 (17.7)14095 (82.3)1342 (7.8)137 (0.8)1561 (9.1)
Have you actively learned about mental health related knowledge after the pandemic
 Yes12333 (24.4)38122 (75.6)105.3540.0005896 (11.7)573 (1.1)5864 (11.6)43.3470.000
 No8959 (27.6)23459 (72.4)4486 (13.8)550 (1.7)3923 (12.1)
Does the pandemic have an impact on your further study and employment
 No impact4094 (19.9)16429 (80.1)786.4770.0001959 (9.5)188 (0.9)1947 (9.5)81.5660.000
 Minor impact8634 (25.3)25480 (74.7)4033 (11.8)434 (1.3)4167 (12.2)
 Significant impact4753 (30.9)10607 (69.1)2369 (15.4)261 (1.7)2123 (13.8)
 Serious impact1457 (35.3)2667 (64.7)801 (19.4)103 (2.5)553 (13.4)
 Unclear2354 (26.9)6398 (73.1)1220 (13.9)137 (1.6)997 (11.4)
Worry about being infected
 Not worried6167 (29.3)14889 (70.7)316.5400.0003161 (15.0)372 (1.8)2634 (12.5)86.4290.000
 A little worried11642 (23.6)37629 (76.4)5430 (11.0)547 (1.1)5665 (11.5)
 Quite worried2345 (26.3)6580 (73.7)1181 (13.2)130 (1.5)1034 (11.6)
 Extremely worried1138 (31.4)2483 (68.6)610 (16.8)74 (2.0)454 (12.5)
Depression Symptoms
 No depression7390 (14.4)43919 (85.6)10543.5200.0002400 (4.7)170 (0.3)4820 (9.4)2709.6520.000
 Mild depression6339 (35.6)11453 (64.4)3105 (17.5)231 (1.3)3003 (16.9)
 Moderate depression3508 (52.6)3166 (47.4)2123 (31.8)213 (3.2)1172 (17.6)
 Severe depression4055 (57.1)3043 (42.9)2754 (38.8)509 (7.2)792 (11.2)
Anxiety Symptoms
 No anxiety9324 (16.5)47158 (83.5)9000.1680.0003271 (5.8)263 (0.5)5790 (10.3)2596.0000.000
 Mild anxiety6756 (40.0)10154 (60.0)3683 (21.8)272 (1.6)2801 (16.6)
 Moderate anxiety3285 (48.9)3433 (51.1)2142 (31.9)255 (3.8)888 (13.2)
 Severe anxiety1927 (69.7)836 (30.3)1286 (46.5)333 (12.1)308 (11.1)
Social support
 Low-level1573 (36.9)2691 (63.1)345.7450.0001001 (23.5)94 (2.2)478 (11.2)583.7250.000
 Medium-level19405 (25.3)57438 (74.7)9242 (12.0)1015 (1.3)9148 (11.9)
 High-level314 (17.8)1452 (82.2)139 (7.9)14 (0.8)161 (9.1)

Suicidal Ideation and Suicide Attempts in Students Stratified by Epidemic-Related Factors.

Risk factors associated with lifetime suicidal ideation

Table 3 shows the results of binary logistic regression analysis of risk factors associated with lifetime suicidal ideation. Being female, middle and high school students, from urban area, boarder at school, in a state of love, with higher family income levels, and with divorced or remarried parents were significantly associated with participants’ lifetime suicide ideation (P<0.05). Compared to authoritarian parenting styles, participants with autocratic, neglectful, and submissive parenting styles were significantly more likely to have lifetime suicidal ideation (P<0.05). Participants who were quarantined for longer periods of time by the COVID-19 had significantly higher risk for lifetime suicidal ideation (P<0.05). Participants who were not satisfied with their studies and felt impact of COVID-9 pandemic on their further education and employment were more likely to have suicidal ideation (P<0.05). After the lifting of COVID-19 restrictions, compared with participants who extremely worried about infection, participants who did not worry about infection at all had significantly higher rate of suicidal ideation (P<0.05). Participants with anxiety symptoms had at least 1.5 times higher rates of suicidal ideation than those without anxiety symptoms (OR, 1.530 [95% CI, 1.450–1.614] for mild anxiety, 1.999 [95% CI, 1.867–2.141] for moderate anxiety, and 4.321 [95% CI, 3.915–4.769] for severe anxiety). Compared with participants without COVID-19 infection and depression but with high level of social support, those with symptoms of infection and depression, as well as moderate levels of social support (OR, 3.506 [95% CI, 2.777–4.425) had the highest risk of lifetime suicidal ideation (Figure 1).

Table 3

VariablesβSβWald χ2OR95% CIP
Gender
 Male1 [Reference]
 Female0.6110.019986.3461.8421.773–1.9130.000
Registered residence
 Rural area1 [Reference]
 Urban area0.1610.02349.7941.1751.123–1.2290.000
School type
 College or university1 [Reference]
 Middle school0.1010.02813.2541.1061.048–1.1680.000
 High school0.1220.02327.9041.1301.080–1.1820.000
Accommodation Type
 Day pupil1 [Reference]
 Boarders at school0.0970.02811.9691.1021.043–1.1640.001
 Other0.0610.0990.3851.0630.876–1.2900.535
Love situation
 Not in a romantic relationship1 [Reference]
 Having a boyfriend0.1770.03821.5431.1931.107–1.2860.000
 Having a girlfriend0.0980.0484.1281.1031.003–1.2130.042
 Other0.1920.1003.7011.2120.996–1.4740.054
Family economic level
 Below local average1 [Reference]
 Local average0.2920.06023.6131.3391.190–1.5070.000
 Higher than local average-0.0090.0190.2120.9910.954–1.0290.645
Parents’ marital status
 Unmarried1 [Reference]
 Married0.0080.0670.0131.0080.884–1.1480.909
 Divorce0.1740.0725.9091.1901.034–1.3690.015
 Remarry0.1640.0735.0291.1791.021–1.3610.025
 Other0.2710.0918.9061.3121.098–1.5670.003
Parenting styles
 Authoritative pattern1 [Reference]
 Autocratic pattern0.3660.022284.5141.4421.382–1.5050.000
 Neglectful pattern0.5860.032338.9201.7971.688–1.9120.000
 Submissive pattern0.2040.02564.5851.2271.167–1.2890.000
Quarantine time
 0 days1 [Reference]
 <7 days0.0510.0263.7801.0531.000–1.1080.052
 7–14 days0.1220.02621.5571.1301.073–1.1890.000
 >14 days0.3830.04281.7971.4671.350–1.5940.000
How did you study at home during the pandemic?
 Regular learning1 [Reference]
 Occasional learning0.0960.01924.8661.1011.060–1.1430.000
 No learning0.1390.0527.2421.1491.038–1.2710.007
Academic during the COVID-19
 Academic progress1 [Reference]
 Almost no impact0.3090.028118.1371.3621.288–1.4400.000
 Academic decline0.2900.03095.9401.3371.261–1.4160.000
Academic satisfaction
 Extremely satisfied1 [Reference]
 Satisfied-0.1170.0466.4130.8890.812–0.9740.011
 General Satisfied0.1000.0435.5031.1051.017–1.2020.019
 Dissatisfied0.3180.04745.4581.3751.253–1.5080.000
 Extremely dissatisfied0.5500.06084.9131.7341.542–1.9490.000
Did your study returned to normal status
 Full recovery1 [Reference]
 Partial recovery0.0540.0264.4171.0561.004–1.1100.036
 No recovery0.0940.0366.9771.0991.025–1.1780.008
Have you actively learned about mental health related knowledge after the pandemic
 Yes1 [Reference]
 No0.0530.0188.2781.0551.017–1.0930.004
Does the pandemic have an impact on your further study and employment
 No impact1 [Reference]
 Minor impact0.1000.02516.6571.1051.053–1.1600.000
 Significant impact0.1440.02924.6271.1551.091–1.2220.000
 Serious impact0.0940.0444.6941.0991.009–1.1970.030
 Unclear0.0500.0332.2631.0510.985–1.1220.132
Worry about being infected
 Extremely worried1 [Reference]
 Quite worried-0.0330.0480.4720.9670.880–1.0640.492
 A little worried0.0280.0430.4251.0280.946–1.1180.515
 Not worried0.3800.04572.6721.4621.340–1.5950.000
Anxiety Symptoms
 No anxiety1 [Reference]
 Mild anxiety0.4250.027240.6471.5301.450–1.6140.000
 Moderate anxiety0.6930.035393.5981.9991.867–2.1410.000
 Severe anxiety1.4640.050846.1284.3213.915–4.7690.000

Multivariable Regression Analysis of Risk Factors Associated with Lifetime Suicidal Ideation.

Figure 1

Risk factors associated with 12-month suicidal ideation

Table 4 shows the results of multifactorial logistic regression analysis of risk factors associated with 12-month suicidal ideation. Participants’ suicidal ideation in the past 12 months was significantly associated with female (OR: 1.331, P = 0.000), middle school (OR: 2.354, P = 0.000), high school (OR: 1.708, P = 0.000), in love status (have a boyfriend: OR: 1.182, P = 0.007), parenting styles (autocratic: OR: 1.180, P = 0.000; neglectful: OR: 1.273, P = 0.000, and submissive: OR: 1.337, P = 0.000), quarantined time (7–14 days: OR: 1.146, P = 0.002), partial back to normal study status (OR:1.111, P = 0.023), not worried about infection of COVID-19 (OR: 1.225, P = 0.006), more depressive symptoms (mild: OR: 1.667, P = 0.000; moderate: OR: 2.423, P = 0.000; severe: OR: 3.595, P = 0.000), more anxiety symptoms (mild: OR: 1.506, P = 0.000; moderate: OR: 1.708, P = 0.000; severe: OR: 2.165, P = 0.000), and lower social support (low-level: OR: 2.224, P = 0.000).

Table 4

Variables12-month of Suicidal Ideation12-month of Suicide Attempts
OR95% CIPOR95% CIP
Gender
 Male1 [Reference]
 Female1.3311.244–1.4240.0001.8141.552–2.1200.000
School type
 College or university1 [Reference]
 Middle school2.3542.139–2.5890.0005.5314.431–6.9040.000
 High school1.7081.582–1.8440.0002.4692.020–3.0190.000
Accommodation Type
 Day pupil1 [Reference]
 Boarders at school0.9700.880–1.0680.5330.9620.794–1.1640.689
 Other0.9130.649–1.2830.5991.7640.962–3.2330.066
Love situation
 Not in a romantic relationship1 [Reference]
 Having a boyfriend1.1821.046–1.3360.0071.6531.269–2.1540.000
 Having a girlfriend1.1740.993–1.3880.0601.2691.586–3.0950.000
 Other1.0290.741–1.4290.8652.6941.663–4.3650.000
Parents’ marital status
 Unmarried1 [Reference]
 Married0.7970.635–0.9990.0490.9350.606–1.6400.794
 Divorce0.9010.708–1.1470.3981.0860.688–1.9690.761
 Remarry0.9600.750–1.2300.7471.2660.806–2.3230.389
 Other0.9950.736–1.3450.9731.4610.783–2.7260.233
Parenting styles
 Authoritative pattern1 [Reference]
 Autocratic pattern1.1801.081–1.2870.0001.1770.967–1.4320.105
 Neglective pattern1.2731.183–1.3690.0001.2761.087–1.4970.003
 Submissive pattern1.3371.209–1.4780.0001.5061.230–1.8440.000
Have you been infected with COVID-19
 No1 [Reference]
 Yes1.0380.977–1.1040.2261.0420.912–1.1910.545
Quarantine time
 0 days1 [Reference]
 <7 days1.0390.951–1.1360.3961.0380.851–1.2660.715
 7–14 days1.1461.050–1.2510.0021.1280.931–1.3670.220
 >14 days1.0130.885–1.1600.8521.3281.018–1.7320.037
How did you study at home during the pandemic
 Regular learning1 [Reference]
 Occasional learning0.9690.907–1.0340.3381.0510.911–1.2120.497
 No learning1.0010.849–1.1790.9940.7890.555–1.1230.188
Academic satisfaction
 Extremely satisfied1 [Reference]
 Satisfied0.7390.624–0.8750.0000.9980.651–1.5300.993
 General Satisfied0.7650.659–0.8890.0001.0800.741–1.5750.689
 Dissatisfied0.7750.661–0.9090.0021.0500.709–1.5550.806
 Extremely dissatisfied0.8530.705–1.0330.1041.1490.750–1.7590.524
Did your study returned to normal status
 Full recovery1 [Reference]
 Partial recovery1.1111.105–1.2170.0231.0430.807–1.3490.748
 No recovery1.1200.995–1.2620.0611.0550.858–1.2980.611
Have you actively learned about mental health related knowledge after the epidemic
 Yes1 [Reference]
 No1.0010.940–1.0660.9821.2141.061–1.3890.005
Does the pandemic have an impact on your further study and employment
 No impact1 [Reference]
 Minor impact0.8930.805–0.9900.0310.9970.801–1.2410.979
 Significant impact0.9260.828–1.0360.1810.9940.785–1.2580.958
 Serious impact0.9810.843–1.1430.8091.0280.761–1.3890.856
 Unclear0.9600.856–1.0760.4860.9130.712–1.1700.470
Worry about being infected
 Extremely worried1 [Reference]
 Quite worried1.0500.894–1.2340.5501.1420.824–1.5840.425
 A little worried1.0030.871–1.1550.9621.0430.786–1.3840.769
 Not worried1.2251.059–1.4180.0061.4341.073–1.9160.001
Depression Symptoms
 No depression1 [Reference]
 Mild depression1.6671.526–1.8200.0001.9531.535–2.4850.000
 Moderate depression2.4232.161–2.7170.0003.4492.603–4.5700.000
 Severe depression3.5953.108–4.1580.0006.6794.889–9.1260.000
Anxiety Symptoms
 No anxiety1 [Reference]
 Mild anxiety1.5061.381–1.6420.0001.1060.886–1.3810.374
 Moderate anxiety1.7081.501–1.9420.0001.6031.216–2.1150.001
 Severe anxiety2.1651.812–2.5870.0003.8642.831–5.2730.000
Social support
 High level1 [Reference]
 Medium level1.0300.807–1.3150.8110.9970.563–1.7640.992
 Low-level2.2241.695–2.9190.0001.6210.874–3.0060.126

Multivariable Regression Analysis of Risk Factors Associated With 12-month Suicidal Ideation and Suicide Attempts.

Risk factors associated with 12-month suicide attempts

Table 4 shows the results of multifactorial logistic regression analysis of risk factors associated with 12-month suicide attempts. Participants’ suicide attempts in the past 12 months were significantly associated with female (OR: 1.814, P = 0.000), middle school (OR: 5.531, P = 0.000), high school (OR: 2.469, P = 0.000), in love status (have a boyfriend: OR: 1.653, P = 0.000; have a girlfriend: OR: 1.269, P = 0.000), parenting styles (neglectful: OR: 1.276, P = 0.003; submissive: OR: 1.506, P = 0.000);, quarantined time (over 14 days: OR: 1.328, P = 0.037), without active learning mental health knowledge during the COVID-19 epidemic (OR: 1.214, P = 0.005), not worried about infection of COVID-19 (OR: 1.434, P = 0.001), more depressive symptoms (mild: OR: 1.953, P = 0.000; moderate: OR: 3.449, P = 0.000; severe: OR: 6.679, P = 0.000), and more anxiety symptoms (moderate: OR: 1.603, P = 0.001; severe: OR: 3.864, P = 0.000).

Discussion

This appears to be the first study to simultaneously survey students in China across various developmental stages from middle school to university to examine the prevalence of suicidal ideation and suicide attempts assessed after the lifting of COVID-19 restrictions across the country. We found that 21292 (25.7%) students reported lifetime suicidal ideation, 10382 (12.5%) students reported 12-month suicidal ideation, and 1123 (1.4%) students reported suicide attempts, which is consistent with previous studies on the prevalence of suicidal ideation during the COVID-19 pandemic (3840). According to a global meta-analysis result (41), the prevalence for lifetime suicidal ideation, suicide attempts were 15.1% and 2.6%, so we found that the prevalence of suicide ideation was higher, but the prevalence of suicide attempts has decreased. Our research findings were similar to those of a previous study (42), and the higher prevalence of suicide attempts during the pandemic may reflect pandemic-related stressors such as fear of illness, life changes, loneliness and decreased social support, which can harm mental well-being of adolescents (42).

In our sample, the prevalence of suicidal ideation was significantly higher among students in high schools (28.9%) than among those in colleges or universities (25.4%) or in middle schools (21.2%). Students at middle and high schools were at 1.7–5.5 times the risk of having thought about suicide or attempting it within the previous 12 months. This may reflect their physiological and psychological immaturity compared to young adults, as well as their more impulsive behavior patterns (43). It may also reflect stronger feelings of unhappiness, worthlessness, or fear that younger students felt in response to more than two years of social isolation during the pandemic (44), which affected them during a developmental period when parents and teachers are particularly likely to pressure young people academically because of the widespread belief that “academic performance in school is more important than anything else” (45). The results of this study showed that students who were less satisfied with their studies were more likely to think about suicide. In general, students may face myriad issues related to their studies, such as ongoing academic problems, social difficulties, missed coursework, and extensive absences (46). Adolescents may worry about managing issues at school and acclimating to school routines (47). Adolescents who experience strong psychological stress because of poor academic performance and intensive courses may be at higher risk of suicidal behavior (48). Indeed, stress and sleep disorders were more prevalent among adolescents than among adults in Italy (64.3% vs. 43.1%) (49).

Young students need to develop a stable adult identity, harmonious interpersonal relationships and capabilities to confront and act on reality (50). If students can develop these capabilities, they may appropriately adjust to personal crises and reduce their risk of suicidal behavior (50). Younger students are at particularly high risk of suicidal behavior if they exercise maladaptive coping skills in the face of persistent academic stress and negative emotions (51). Educational pressure on students decreases gradually as they approach adulthood, and students in college and university tend to have more mature coping skills than those in middle and high schools and this may lower their risk of suicidal behavior (52). These factors may help older students weather pandemic-related stresses such as social restrictions and interruptions or alterations in studies, which contribute to depression and sleep disorders among college students (53). So, the above are possible reasons why middle school students have a higher risk of suicidal ideation and intention than college students.

In this study, suicidal ideation and suicide attempts were significantly associated with being female, living in an urban area, boarding at school, having parents who exercise a non-authoritative parenting style, or having parents who have divorced or remarried. These factors have also been linked to suicidal ideation and suicide attempts in previous studies (5460). However, students reporting higher household income level were at higher risk of suicide ideation and attempts within the previous 12 months than those with lower household income, which contrasts with studies from South Korea (61, 62). The adolescents from families with lower socioeconomic status may have been at higher risk because they were less likely to receive social and psychological resources and support from their family (63). The link between higher risk and higher household income in our study may reflect that adolescents who grow up in more affluent families are more likely to experience psychological neglect, receive little parental care or be rejected, controlled or overprotected by their parents (64). It is also possible that in families with higher economic levels, parents have higher expectations for education, and students feel worried and helpless due to the learning losses caused by the epidemic, leading to suicide (65).

Just over 40% of our study participants reported having been infected with SARS-CoV-2 after the lifting of COVID-19 restrictions, and they were at significantly higher risk of ever having thought about suicide than those who reported not been infected. This is consistent with the idea that fear and concern about COVID-19 infection can exacerbate psychological problems (66). For example, Krygsman et al. (2023) found that in a young Canadian adult sample that increased fear of COVID-19 was associated with greater generalized anxiety and somatization (67). Nevertheless, history of COVID-19 infection did not significantly affect risk of suicidal ideation or suicide attempts during the previous 12 months, which may reflect less distress given the widely reported efficacy of vaccines against the virus and the lower morbidity and mortality associated with later virus strains (68). Students in our sample who had been quarantined for longer periods were at higher risk of suicidal ideation, which may be related to increased loneliness and decreased social support (42).

In our sample, 38.1% of participants reported symptoms of depression and 31.8% reported symptoms of anxiety. Such symptoms correlated significantly with suicidal ideation and suicide attempts, and more severe symptoms were associated with higher risk, which is consistent with previous studies (69, 70). Depression and anxiety symptoms are the most frequent mental health problems among adolescents and are significant risk factors for suicide (71, 72). Among adolescents, depression, anxiety and other mental health problems may have worsened during the pandemic, increasing the prevalence of suicide (73). Our work highlights that prevalence of suicidal ideation and suicide attempts remains relatively high among young people even after the lifting of COVID-19 restrictions. Possible reasons may include relatively high rates of SARS-CoV-2 infection and high levels of psychological stress.

Only 2.1% of participants in our study indicated that they enjoyed a high level of social support, and our analysis linked low social support to significantly higher risk of thinking about or attempting suicide in the previous 12 months, which is consistent with previous studies (74, 75). The interpersonal psychological theory of suicidal behavior suggests that isolation increases the likelihood of suicide, and that perceived social support helps reduce or prevent feelings of isolation (76). Supportive relationships can mitigate suicidal ideation among adolescents and young adults (77). Further studies should be conducted to explore the relationship between types of social support and suicidal behavior.

Our analysis detected a joint influence of COVID-19 infection, depressive symptoms and social support on the risk of ever having thought about suicide in our sample. Compared to those who had not been infected, did not have depression symptoms and reported high social support, participants with COVID-19 infection, depression, and low level of social support had 2.2 to 3.5 times higher risk of lifetime suicidal ideation. Participants with COVID-19 infection, depression, and high level of social support had 1.9–2.5 times higher risk of lifetime suicidal ideation. The COVID-19 infection and depression symptoms may have been associated with a lower level of social support (78) and an increased risk of suicidal ideation. Strengthening social support from family, school and peers may mitigate the negative emotions caused by COVID-19 infection and depressive symptoms, thereby reducing risk of suicidal ideation and suicide attempts.

Our study, together with a growing global literature, argue for prioritizing the development of prevention programs targeting children and adolescents, among whom suicide rates are increasing. Prevention strategies may include limiting access to means of suicide (e.g., limiting access to guns, knives and sedatives), collaborating with media to encourage responsible reporting on suicide, promoting healthy socio-emotional life skills among adolescents, and establishing programs geared toward early identification, assessment, management, and follow-up of individuals affected by suicidal behavior (45). Dialectical cognitive therapy and psychodynamic therapy may be effective treatments for young people who have been thinking about suicide or have attempted it (79, 80).

Strengths and limitations

The strengths of this study include its relatively large sample of 162 public and private educational institutions in urban and rural regions that spanned the full range of adolescent development, from middle school through university. To the best of our knowledge, this is the first study to systematically investigate the prevalence and risk factors of suicidal ideation and suicide attempts among young people from 12 to 24 years old after the lifting of COVID-19 restrictions. Our findings may help guide policy making, recognition of high-risk populations, and the design of frameworks for managing psychological crises in specific populations and intervening in severe public health events such as pandemics.

At the same time, this study has several limitations. First, it involved an online survey of a convenience sample from one province in China. Whether our results can be generalized to other parts of China or to other countries remains unclear. Second, our data came entirely from self-report, increasing the risk of under- or overreporting due to subjective factors in participants that might have biased their responses, such as feelings of guilt or shame. Third, this was a cross-sectional study, which prevents causal analyses. Establishing causation in the absence of an experimental design with randomization is unlikely, and in the case of suicidality, would be unethical. Longitudinal follow-up studies should be conducted to explore whether the associated factors that we identified here can cause suicidal ideation or suicide attempts.

Conclusions

After the lifting of COVID-19 restrictions, the prevalence of lifetime suicidal ideation was 25.7%, the 12-month prevalence of suicide ideation was 12.5%, and the 12-month prevalence of suicide attempts was 1.4% among students in China. The associated factors of suicidal ideation and attempts among adolescent and youth students included being female, urban registered residence, middle school and high school, boarders at school, in love status, higher family income levels, divorced or remarried parents, specific family parenting patterns (e.g., autocratic, neglective or submissive pattern), COVID-19 infection, quarantined for longer periods of time, not worried about COVID-19 infection after the lifting of COVID-19 restrictions, unsatisfactory learning, with much more impact on further study and employment, depression and anxiety symptoms, and low-level of social support. Targeted, specific psychosocial prevention and interventions are urgently needed to meet the mental health demands of students.

Statements

Data availability statement

The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding authors.

Ethics statement

The studies involving humans were approved by Biomedical Research Ethics Committee, West China Hospital of Sichuan University (No: 2022-1790). The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants’ legal guardians/next of kin.

Author contributions

QX: Conceptualization, Data curation, Formal analysis, Investigation, Writing – original draft, Writing – review & editing. XH: Conceptualization, Data curation, Investigation, Writing – review & editing. JY: Conceptualization, Data curation, Formal analysis, Investigation, Writing – original draft. YM: Conceptualization, Data curation, Formal analysis, Investigation, Writing – original draft. CW: Conceptualization, Data curation, Formal analysis, Investigation, Writing – original draft. ZD: Conceptualization, Data curation, Formal analysis, Investigation, Writing – original draft. JC: Conceptualization, Data curation, Formal analysis, Investigation, Writing – original draft. AD: Data curation, Investigation, Writing – original draft. WT: Conceptualization, Data curation, Investigation, Writing – original draft. XC: Conceptualization, Data curation, Investigation, Writing – original draft. WS: Data curation, Investigation, Writing – original draft. YJ: Data curation, Investigation, Writing – original draft. JX: Data curation, Investigation, Writing – original draft. LY: Conceptualization, Data curation, Investigation, Writing – original draft. YH: Conceptualization, Data curation, Investigation, Writing – original draft. WZ: Conceptualization, Data curation, Investigation, Writing – review & editing. MR: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Supervision, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by Initial Research Fund in West China Hospital (WCH, No: 136220012, PI: Prof. M-SR).

Acknowledgments

We are appreciated to all students and their schools in the study.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

  • 1

    KielingCBuchweitzCCayeASilvaniJAmeisSHBrunoniARet al. Worldwide prevalence and disability from mental disorders across childhood and adolescence: evidence from the global burden of disease study. JAMA Psychiatry. (2024) 81:347–56. doi: 10.1001/jamapsychiatry.2023.5051

  • 2

    AalsmaMKeysJFerrinSShanMGarbuzTScottTet al. Adolescent suicide assessment and management in primary care. BMC Pediatrics. (2022) 22:389. doi: 10.1186/s12887-022-03454-4

  • 3

    DingLShiZLiuYLiuX. A gender comparative study on the prevalence and associated factors of suicide attempts among adolescents in low- income and middle-income countries—— Analysis based on data from the Global School Student Health Survey (GSHS). Modern Prev Med. (2021) 48:330912, 16

  • 4

    ZhaoSZhangJ. Suicide risks among adolescents and young adults in rural China. Int J Environ Res Public Health. (2014) 12:131–45. doi: 10.3390/ijerph120100131

  • 5

    HuSMoDGuoPZhengHJiangXZhongH. Correlation between suicidal ideation and emotional memory in adolescents with depressive disorder. Sci Rep. (2022) 12:5470. doi: 10.1038/s41598-022-09459-4

  • 6

    XuHWanYXuSZhangSWangWZengHet al. Associations of non-suicidal self-injury with suicidal ideation and suicide attempt among middle school students. Chin Ment Health J. (2019) 33:774–8. doi: 10.3969/j.issn.1000-6729.2019.10.010

  • 7

    Ivey-StephensonAZDemissieZCrosbyAEStoneDMGaylorEWilkinsNet al. Suicidal ideation and behaviors among high school students - youth risk behavior survey, United States, 2019. MMWR Suppl. (2020) 69:4755. doi: 10.15585/mmwr.su6901a6

  • 8

    LiSWangSGaoXJiangZXuHZhangSet al. Patterns of adverse childhood experiences and suicidal behaviors in adolescents: A four-province study in China. J Affect Disord. (2021) 285:6976. doi: 10.1016/j.jad.2021.02.045

  • 9

    MahumudRADawsonAJChenWBiswasTKeramatSAMortonRLet al. The risk and protective factors for suicidal burden among 251 763 school-based adolescents in 77 low- and middle-income to high-income countries: assessing global, regional and national variations. Psychol Med. (2022) 52:379–97. doi: 10.1017/S0033291721002774

  • 10

    BolgerNDowneyGWalkerESteiningerP. The onset of suicidal ideation in childhood and adolescence. J Youth Adolesc. (1989) 18:175–90. doi: 10.1007/BF02138799

  • 11

    RanMSWangCCaiJDengZYMuYFHuangYet al. The mutual overlapping impact of stress and infection on mental health problems in adolescents and youths during and after COVID-19 pandemic in China. J Affect Disord. (2024) 347:500–8. doi: 10.1016/j.jad.2023.12.009

  • 12

    BedfordJEnriaDGieseckeJHeymannDLIhekweazuCKobingerGet al. COVID-19: towards controlling of a pandemic. Lancet. (2020) 395:1015–8. doi: 10.1016/S0140-6736(20)30673-5

  • 13

    OnyeakaHAnumuduCKAl-SharifyZTEgele-GodswillEMbaegbuP. COVID-19 pandemic: A review of the global lockdown and its far-reaching effects. Sci Prog. (2021) 104:368504211019854. doi: 10.1177/00368504211019854

  • 14

    OliveiraJMDButiniLPaulettoPLehmkuhlKMStefaniCMBolanMet al. Mental health effects prevalence in children and adolescents during the COVID-19 pandemic: A systematic review. Worldviews Evid Based Nurs. (2022) 19:130–7. doi: 10.1111/wvn.12566

  • 15

    LiGContiAAQiuCTangW. Adolescent mobile phone addiction during the COVID-19 pandemic predicts subsequent suicide risk: a two-wave longitudinal study. BMC Public Health. (2022) 22:1537. doi: 10.1186/s12889-022-13931-1

  • 16

    SunSGoldbergSBLinDQiaoSOperarioD. Psychiatric symptoms, risk, and protective factors among university students in quarantine during the COVID-19 pandemic in China. Global Health. (2021) 17:15. doi: 10.1186/s12992-021-00663-x

  • 17

    HouTYMaoXFDongWCaiWPDengGH. Prevalence of and factors associated with mental health problems and suicidality among senior high school students in rural China during the COVID-19 outbreak. Asian J Psychiatr. (2020) 54:102305. doi: 10.1016/j.ajp.2020.102305

  • 18

    MadiganSKorczakDJVaillancourtTRacineNHopkinsWGPadorPet al. Comparison of paediatric emergency department visits for attempted suicide, self-harm, and suicidal ideation before and during the COVID-19 pandemic: a systematic review and meta-analysis. Lancet Psychiatry. (2023) 10:342–51. doi: 10.1016/S2215-0366(23)00036-6

  • 19

    AHYASSAASDMKAAZH. Increased psychological distress after the lifting of COVID-19 lockdown in the Saudi population: A cross-sectional study. Middle East Curr Psychiatry. (2022) 29:112. doi: 10.1186/s43045-021-00167-9

  • 20

    HauckeMLiuSHeinzelS. The persistence of the impact of COVID-19-related distress, mood inertia, and loneliness on mental health during a postlockdown period in Germany: an ecological momentary assessment study. JMIR Ment Health. (2021) 8:e29419. doi: 10.2196/29419

  • 21

    ArgabrightSTTranKTVisokiEDiDomenicoGEMooreTMBarzilayR. COVID-19-related financial strain and adolescent mental health. Lancet Reg Health Am. (2022) 16:100391. doi: 10.1016/j.lana.2022.100391

  • 22

    CattyJ. Lockdown and adolescent mental health: reflections from a child and adolescent psychotherapist. Wellcome Open Res. (2020) 5:132. doi: 10.12688/wellcomeopenres

  • 23

    CarballoJJLlorenteCKehrmannLFlamariqueIZuddasAPurper-OuakilDet al. Psychosocial risk factors for suicidality in children and adolescents. Eur Child Adolesc Psychiatry. (2020) 29:759–76. doi: 10.1007/s00787-018-01270-9

  • 24

    OsorioALopez-Del BurgoCCarlosSde IralaJ. The sooner, the worse? Association between earlier age of sexual initiation and worse adolescent health and well-being outcomes. Front Psychol. (2017) 8:1298. doi: 10.3389/fpsyg.2017.01298

  • 25

    WanGWLeungPW. Factors accounting for youth suicide attempt in Hong Kong: a model building. J Adolesc. (2010) 33:575–82. doi: 10.1016/j.adolescence.2009.12.007

  • 26

    Caballero-DomínguezCCCampo-AriasA. Prevalence and factors associated with suicide ideation in Colombian Caribbean adolescent students. Omega (Westport). (2022) 85:837–49. doi: 10.1177/0030222820959929

  • 27

    ShiLLuZAQueJYHuangXLLiuLRanMSet al. Prevalence of and risk factors associated with mental health symptoms among the general population in China during the coronavirus disease 2019 pandemic. JAMA Netw Open. (2020) 3:e2014053. doi: 10.1001/jamanetworkopen.2020.14053

  • 28

    LeungDYPMakYWLeungSFChiangVCLLokeAY. Measurement invariances of the PHQ-9 across gender and age groups in Chinese adolescents. Asia Pac Psychiatry. (2020) 12:e12381. doi: 10.1111/appy.12381

  • 29

    IpHSuenYNHuiCLMWongSMYChanSKWLeeEHMet al. Assessing anxiety among adolescents in Hong Kong: psychometric properties and validity of the Generalised Anxiety Disorder-7 (GAD-7) in an epidemiological community sample. BMC Psychiatry. (2022) 22:703. doi: 10.1186/s12888-022-04329-9

  • 30

    SunJLiangKChiXChenS. Psychometric properties of the generalized anxiety disorder scale-7 item (GAD-7) in a large sample of Chinese adolescents. Healthcare. (2021) 9:1709. doi: 10.3390/healthcare9121709

  • 31

    XiaoS. The theoretical basis and research application of the social support rating scale. J Clin Psychiatry. (1994) 4:98100

  • 32

    QiMZhouS-JGuoZ-CZhangL-GMinH-JLiX-Met al. The effect of social support on mental health in Chinese adolescents during the outbreak of COVID-19. J Adolesc Health. (2020) 67:514–8. doi: 10.1016/j.jadohealth.2020.07.001

  • 33

    ShaoRHePLingBTanLXuLHouYet al. Prevalence of depression and anxiety and correlations between depression, anxiety, family functioning, social support and coping styles among Chinese medical students. BMC Psychol. (2020) 8:38. doi: 10.1186/s40359-020-00402-8

  • 34

    ZhouWChenDHongZFanHLiuSZhangL. The relationship between health-promoting lifestyles and depression in the elderly: roles of aging perceptions and social support. Qual Life Res. (2020) 30:721–8. doi: 10.1007/s11136-020-02674-4

  • 35

    RakoffJChavarriaJHamiltonHAElton-MarshallT. Cross-sectional study of factors associated with suicide ideation in Ontario adolescents. Can J Psychiatry. (2023) 68:327–37. doi: 10.1177/07067437221111364

  • 36

    van VuurenCLvan der WalMFCuijpersPChinapawMJM. Sociodemographic differences in time trends of suicidal thoughts and suicide attempts among adolescents living in Amsterdam, The Netherlands. Crisis. (2021) 42:369–77. doi: 10.1027/0227-5910/a000735

  • 37

    RojasSMBilskySADuttonCBadourCLFeldnerMTLeen-FeldnerEW. Lifetime histories of PTSD, suicidal ideation, and suicide attempts in a nationally representative sample of adolescents: Examining indirect effects via the roles of family and peer social support. J Anxiety Disord. (2017) 49:95103. doi: 10.1016/j.janxdis.2017.04.006

  • 38

    FarooqSTunmoreJWajid AliMAyubM. Suicide, self-harm and suicidal ideation during COVID-19: A systematic review. Psychiatry Res. (2021) 306:114228. doi: 10.1016/j.psychres.2021.114228

  • 39

    DubéJPSmithMMSherrySBHewittPLStewartSH. Suicide behaviors during the COVID-19 pandemic: A meta-analysis of 54 studies. Psychiatry Res. (2021) 301:113998. doi: 10.1016/j.psychres.2021.113998

  • 40

    BersiaMKoumantakisEBerchiallaPCharrierLRicottiAGrimaldiPet al. Suicide spectrum among young people during the COVID-19 pandemic: A systematic review and meta-analysis. EClinicalMedicine. (2022) 54:101705. doi: 10.1016/j.eclinm.2022.101705

  • 41

    LiuRTWalshRFLSheehanAECheekSMSanzariCM. Prevalence and correlates of suicide and nonsuicidal self-injury in children: A systematic review and meta-analysis. JAMA Psychiatry. (2022) 79:718–26. doi: 10.1001/jamapsychiatry.2022.1256

  • 42

    DuranteJCLauM. Adolescents, suicide, and the COVID-19 pandemic. Pediatr Ann. (2022) 51:e144–e9. doi: 10.3928/19382359-20220317-02

  • 43

    KalinNH. Anxiety, depression, and suicide in youth. Am J Psychiatry. (2021) 178:275–9. doi: 10.1176/appi.ajp.2020.21020186

  • 44

    The Lanct. An age of uncertainty: mental health in young people. Lancet. (2022) 400:539. doi: 10.1016/S0140-6736(22)01572-0

  • 45

    ZhaoMLiLRaoZSchwebelDCNingPHuG. Suicide mortality by place, gender, and age group - China, 2010–2021. China CDC Wkly. (2023) 5:559–64. doi: 10.46234/ccdcw2023.109

  • 46

    MarracciniMEResnikoffAWBrickLABrierZMFNugentNR. Adolescent perceptions of school before and after psychiatric hospitalization: Predicting suicidal ideation. Sch Psychol. (2022) 37:119–32. doi: 10.1037/spq0000487

  • 47

    PreydeMParekhSHeintzmanJ. Youths' Experiences of school re-integration following psychiatric hospitalization. J Can Acad Child Adolesc Psychiatry. (2018) 27:2232

  • 48

    NagamitsuSMimakiMKoyanagiKTokitaNKobayashiYHattoriRet al. Prevalence and associated factors of suicidality in Japanese adolescents: results from a population-based questionnaire survey. BMC Pediatr. (2020) 20:467. doi: 10.1186/s12887-020-02362-9

  • 49

    AmicucciGSalfiFD'AtriAViselliLFerraraM. The differential impact of COVID-19 lockdown on sleep quality, insomnia, depression, stress, and anxiety among late adolescents and elderly in Italy. Brain Sci. (2021) 11. doi: 10.3390/brainsci11101336

  • 50

    GranieriACasaleSSautaMDFranzoiIG. Suicidal ideation among university students: A moderated mediation model considering attachment, personality, and sex. Int J Environ Res Public Health. (2022) 19:6167. doi: 10.3390/ijerph19106167

  • 51

    OkechukwuFOOgbaKTUNwufoJIOgbaMOOnyekachiBNNwanosikeCIet al. Academic stress and suicidal ideation: moderating roles of coping style and resilience. BMC Psychiatry. (2022) 22:546. doi: 10.1186/s12888-022-04063-2

  • 52

    DiehlMChuiHHayELLumleyMAGrühnDLabouvie-ViefG. Change in coping and defense mechanisms across adulthood: longitudinal findings in a European American sample. Dev Psychol. (2014) 50:634–48. doi: 10.1037/a0033619

  • 53

    PoleseDCostanziFBianchiPFregaABellatiFDe MarcoMPet al. The impact of COVID-19 on menstrual cycle's alterations, in relation to depression and sleep disturbances: a prospective observational study in a population of medical students. BMC Womens Health. (2024) 24:130. doi: 10.1186/s12905-024-02971-x

  • 54

    Valdez-SantiagoRVillalobosAArenas-MonrealLGonzález-FortezaCHermosillo-de-la-TorreAEBenjetCet al. Comparison of suicide attempts among nationally representative samples of Mexican adolescents 12 months before and after the outbreak of the Covid-19 pandemic. J Affect Disord. (2022) 298:65–8. doi: 10.1016/j.jad.2021.10.111

  • 55

    Aviad-WilchekYNe'eman-HavivV. The relation between a sense of meaning in life and suicide potential among disadvantaged adolescent girls. Int J Offender Ther Comp Criminol. (2018) 62:1474–87. doi: 10.1177/0306624X16684566

  • 56

    ReigstadBKvernmoS. Concurrent adversities and suicide attempts among Sami and non-Sami adolescents: the Norwegian Arctic Adolescent Study (NAAHS). Nord J Psychiatry. (2017) 71:425–32. doi: 10.1080/08039488.2017.1315175

  • 57

    XingXYTaoFBWanYHXingCQiXYHaoJHet al. Family factors associated with suicide attempts among Chinese adolescent students: a national cross-sectional survey. J Adolesc Health. (2010) 46:592–9. doi: 10.1016/j.jadohealth.2009.12.006

  • 58

    LeeKSChoiOJKimJH. A longitudinal study on the effects of negative rearing experiences on adolescents' Social withdrawal and aggression. Korean J Fam Med. (2017) 38:276–83. doi: 10.4082/kjfm.2017.38.5.276

  • 59

    GrossbergARiceT. Depression and suicidal behavior in adolescents. Med Clin North Am. (2023) 107:169–82. doi: 10.1016/j.mcna.2022.04.005

  • 60

    PriceMHidesLCockshawWStanevaAAStoyanovSR. Young love: romantic concerns and associated mental health issues among adolescent help-seekers. Behav Sci (Basel). (2016) 6:9. doi: 10.3390/bs6020009

  • 61

    KwonMKimSASeoK. Factors influencing suicide attempts of adolescents with suicidal thoughts in South Korea: using the 15(th) Korean youth risk behavior web-based survey (KYRBS). Iran J Public Health. (2022) 51:1990–8. doi: 10.18502/ijph.v51i9.10553

  • 62

    ParkHLeeKS. The association mental health of adolescents with economic impact during the COVID-19 pandemic: a 2020 Korean nationally representative survey. BMC Public Health. (2023) 23:853. doi: 10.1186/s12889-023-15808-3

  • 63

    NovakMAhlgrenCHammarstromA. Inequalities in smoking: influence of social chain of risks from adolescence to young adulthood: a prospective population-based cohort study. Int J Behav Med. (2007) 14:181–7. doi: 10.1007/BF03000190

  • 64

    CongEZCaiYYWangYWuY. Association of depression and suicidal ideation with parenting style in adolescents. Zhongguo Dang Dai Er Ke Za Zhi. (2021) 23:938–43. doi: 10.7499/j.issn.1008-8830.2105124

  • 65

    ChaniangSKlongdeeKJompaengY. Suicide prevention: A qualitative study with Thai secondary school students. Belitung Nurs J. (2022) 8:60–6. doi: 10.33546/bnj.v8i1

  • 66

    LathabhavanR. Fear of COVID-19, psychological distress, well-being and life satisfaction: A comparative study on first and second waves of COVID-19 among college students in India. Curr Psychol. (2022), 18. doi: 10.1007/s12144-022-03207-7

  • 67

    KrygsmanAFarrellAHBrittainHVaillancourtT. Anxiety symptoms before and during the COVID-19 pandemic: A longitudinal examination of Canadian young adults. J Anxiety Disord. (2023) 99:102769. doi: 10.1016/j.janxdis.2023.102769

  • 68

    ZhangJJDongXLiuGHGaoYD. Risk and protective factors for COVID-19 morbidity, severity, and mortality. Clin Rev Allergy Immunol. (2023) 64:90107. doi: 10.1007/s12016-022-08921-5

  • 69

    LeeBHongJS. Short- and long-term impacts of the COVID-19 pandemic on suicide-related mental health in Korean adolescents. Int J Environ Res Public Health. (2022) 19:11491. doi: 10.3390/ijerph191811491

  • 70

    LiangSWLiuLLPengXDChenJBHuangADWangXYet al. Prevalence and associated factors of suicidal ideation among college students during the COVID-19 pandemic in China: a 3-wave repeated survey. BMC Psychiatry. (2022) 22:336. doi: 10.1186/s12888-022-03968-2

  • 71

    KimMJShinDAhnYM. Association between the number of hours of sleep during weekdays and suicidality among Korean adolescents: Mediating role of depressive and anxiety symptoms. J Affect Disord. (2023) 320:7480. doi: 10.1016/j.jad.2022.09.079

  • 72

    Martínez-NicolásIArenas CastañedaPEMolina-PizarroCARosado FrancoAMaya-HernándezCBarahonaIet al. Impact of depression on anxiety, well-being, and suicidality in Mexican adolescent and young adult students from Mexico City: A mental health screening using smartphones. J Clin Psychiatry. (2022) 83:20m13806. doi: 10.4088/JCP.20m13806

  • 73

    JoESeoKNamBShinDKimSJeongYet al. Deterioration of mental health in children and adolescents during the COVID-19 pandemic. Soa Chongsonyon Chongsin Uihak. (2023) 34:21–9. doi: 10.5765/jkacap.220041

  • 74

    KimYJQuinnCRMoonSS. Buffering effects of social support and parental monitoring on suicide. Health Soc Work. (2021) 46:4250. doi: 10.1093/hsw/hlaa037

  • 75

    MillerABEsposito-SmythersCLeichtweisRN. Role of social support in adolescent suicidal ideation and suicide attempts. J Adolesc Health. (2015) 56:286–92. doi: 10.1016/j.jadohealth.2014.10.265

  • 76

    AhouanseRDChangWRanHLFangDCheYSDengWHet al. Childhood maltreatment and suicide ideation: A possible mediation of social support. World J Psychiatry. (2022) 12:483–93. doi: 10.5498/wjp.v12.i3.483

  • 77

    EzeJEChukwuorjiJCEttuPCZacchaeusEAIorfaSKNwonyiSK. Bullying and suicide ideation: testing the buffering hypothesis of social support in a Sub-Saharan African sample. J Child Adolesc Trauma. (2021) 14:1927. doi: 10.1007/s40653-019-00294-w

  • 78

    MüllerMBroadheadJSimpsonTAbasMA. Effect of acute depression associated with COVID-19 infection on health-seeking behaviour: a psychiatrist's personal account and case report. BJPsych Open. (2022) 8:e119. doi: 10.1192/bjo.2022.521

  • 79

    McCauleyEBerkMSAsarnowJRAdrianMCohenJKorslundKet al. Efficacy of dialectical behavior therapy for adolescents at high risk for suicide: A randomized clinical trial. JAMA Psychiatry. (2018) 75:777–85. doi: 10.1001/jamapsychiatry.2018.1109

  • 80

    MidgleyNMortimerRCirasolaABatraPKennedyE. The evidence-base for psychodynamic psychotherapy with children and adolescents: A narrative synthesis. Front Psychol. (2021) 12:662671. doi: 10.3389/fpsyg.2021.662671

Summary

Keywords

suicidal ideation, suicide attempts, adolescent and young adults, lifting of COVID-19 restrictions, prevalence, associated factors

Citation

Xiao Q-Q, Huang X-H, Yang J, Mu Y-F, Wang C, Deng Z-Y, Cai J, Deng A-P, Tang W-J, Chen X-C, Shi W, Jiang Y, Xu J-J, Yin L, Huang Y, Zhang W and Ran M-S (2024) Suicidal ideation and suicide attempts among students aged 12 to 24 after the lifting of COVID-19 restrictions in China: prevalence and associated factors. Front. Psychiatry 15:1383992. doi: 10.3389/fpsyt.2024.1383992

Received

08 February 2024

Accepted

31 May 2024

Published

18 June 2024

Volume

15 - 2024

Edited by

Tracy Vaillancourt, University of Ottawa, Canada

Reviewed by

Daniela Polese, Sant’Andrea University Hospital, Italy

Saeeda Paruk, University of KwaZulu-Natal, South Africa

Updates

Copyright

*Correspondence: Mao-Sheng Ran, ; Wei Zhang,

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Outline

Figures

Cite article

Copy to clipboard


Export citation file


Share article

Article metrics