Hostname: page-component-6b989bf9dc-cvxtj Total loading time: 0 Render date: 2024-04-14T11:19:29.429Z Has data issue: false hasContentIssue false
  • English
  • Français

Prevalence and correlates of suicidal ideation among the general population in China during the COVID-19 pandemic

Published online by Cambridge University Press:  03 February 2021

Le Shi ,
Jian-Yu Que ,
Zheng-An Lu ,
Yi-Miao Gong ,
Lin Liu ,
Yun-He Wang ,
Mao-Sheng Ran ,
Nisha Ravindran ,
Arun V. Ravindran  and
Seena Fazel
...Show all authors
Le Shi
Affiliation:
Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
Jian-Yu Que
Affiliation:
Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
Zheng-An Lu
Affiliation:
Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
Yi-Miao Gong
Affiliation:
Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
Lin Liu
Affiliation:
National Institute on Drug Dependence and Beijing Key Laboratory on Drug Dependence Research, Peking University, Beijing, China
Yun-He Wang
Affiliation:
National Institute on Drug Dependence and Beijing Key Laboratory on Drug Dependence Research, Peking University, Beijing, China
Mao-Sheng Ran
Affiliation:
Department of Social Work and Social Administration, University of Hong Kong, Hong Kong, China
Nisha Ravindran
Affiliation:
Department of Psychiatry, University of Toronto, Toronto, Canada
Arun V. Ravindran
Affiliation:
Department of Psychiatry, University of Toronto, Toronto, Canada
Seena Fazel
Affiliation:
Department of Psychiatry, University of Oxford, Oxford, United Kingdom
Yan-Ping Bao
Affiliation:
National Institute on Drug Dependence and Beijing Key Laboratory on Drug Dependence Research, Peking University, Beijing, China
Jie Shi
Affiliation:
National Institute on Drug Dependence and Beijing Key Laboratory on Drug Dependence Research, Peking University, Beijing, China
Lin Lu*
Affiliation:
Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China National Institute on Drug Dependence and Beijing Key Laboratory on Drug Dependence Research, Peking University, Beijing, China
*
*Lin Lu, E-mail: linlu@bjmu.edu.cn

Abstract

Background

The coronavirus disease 2019 (COVID-19) pandemic is a major threat to the public. However, the comprehensive profile of suicidal ideation among the general population has not been systematically investigated in a large sample in the age of COVID-19.

Methods

A national online cross-sectional survey was conducted between February 28, 2020 and March 11, 2020 in a representative sample of Chinese adults aged 18 years and older. Suicidal ideation was assessed using item 9 of the Patient Health Questionnaire-9. The prevalence of suicidal ideation and its risk factors was evaluated.

Results

A total of 56,679 participants (27,149 males and 29,530 females) were included. The overall prevalence of suicidal ideation was 16.4%, including 10.9% seldom, 4.1% often, and 1.4% always suicidal ideation. The prevalence of suicidal ideation was higher in males (19.1%) and individuals aged 18–24 years (24.7%) than in females (14.0%) and those aged 45 years and older (11.9%). Suicidal ideation was more prevalent in individuals with suspected or confirmed infection (63.0%), frontline workers (19.2%), and people with pre-existing mental disorders (41.6%). Experience of quarantine, unemployed, and increased psychological stress during the pandemic were associated with an increased risk of suicidal ideation and its severity. However, paying more attention to and gaining a better understanding of COVID-19-related knowledge, especially information about psychological interventions, could reduce the risk.

Conclusions

The estimated prevalence of suicidal ideation among the general population in China during COVID-19 was significant. The findings will be important for improving suicide prevention strategies during COVID-19.

Keywords

ChinaCOVID-19prevalencerisk factorssuicidal ideation
Type
Research Article
Information
European Psychiatry , Volume 64 , Issue 1 , 2021 , e18
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of the European Psychiatric Association

Introduction

Suicide is a significant global public health problem that occurs across lifespans. According to the World Health Organization, one person dies of suicide every 40 s [1]. In addition to completed suicide, suicidal behaviors, especially suicidal ideation, are increasingly common. The estimated lifetime prevalence of suicidal ideation in the general population is approximately 4.0% [Reference Cao, Zhong, Xiang, Ungvari, Lai and Chiu2,Reference Han, McKeon and Gfroerer3]. Reports state that 13.2% of those reporting suicidal ideation during the past year have later attempted suicide in the past 12 months [Reference Han, Compton, Gfroerer and McKeon4]. Improving the understanding of the characteristics and correlates of suicidal ideation is essential to inform suicide prevention and provide intervention targets.

Suicidal behaviors are multifactorial and involve complex interactions between biological and environmental determinants [Reference van Heeringen and Mann5]. Among them, one key risk factor in the etiology of suicidal ideation is an adverse life stressor [Reference Liu and Miller6]. Numerous studies have proved the critical role of multiple life events, such as adverse early life experiences, unemployment, and social isolation, in suicidal behaviors [Reference Batty, Kivimaki, Bell, Gale, Shipley and Whitley7]. This may be because environmental changes could induce psychological stress [Reference Moreno, Nabity, Kanzler, Bryan, McGeary and McGeary8], and lead to neuropsychological changes that increase suicidal behaviors [Reference Moscicki and Umhau9]. Moreover, there is a dose–response relationship between psychological stress and suicide possibility [Reference Bell, Russ, Kivimaki, Stamatakis and Batty10], suggesting that severe stressful events may significantly increase the risk of suicidal behaviors.

The epidemic of communicable disease, as a major life stressor in both cases and surrounding people, can have profound impacts on mental health [Reference Tucci, Moukaddam, Meadows, Shah, Galwankar and Kapur11]. However, few studies have focused on the relationship between suicidal behaviors and infectious disease outbreaks. Evidence showed that approximately 10–20% of Ebola survivors had thoughts of suicide or self-harm [Reference Secor, Macauley, Stan, Kagone, Sidikiba and Sow12]. During the severe acute respiratory syndrome (SARS) epidemic, a high rate of suicide deaths was reported in the elderly based on court records [Reference Chan, Chiu, Lam, Leung and Conwell13,Reference Cheung, Chau and Yip14]. These findings from other infectious disease outbreaks confirm the need for the early identification of vulnerable populations. Developing a comprehensive profile of suicidal ideation is the key first step in this direction.

In December 2019, coronavirus disease 2019 (COVID-19) characterized by high contagiousness and rapid transmission occurred [Reference Sanche, Lin, Xu, Romero-Severson, Hengartner and Ke15]. The World Health Organization declared COVID-19 a pandemic in March 2020 [Reference Mahase16]. As of December 27, 2020, more than 79 million people were infected and 1 million confirmed cases died across 222 countries, areas, or territories [17]. Without available vaccines and specific antiviral drugs, some restrictive interventions, such as quarantine, social distancing, and work at home, were used to control the viral spread [Reference Pan, Liu, Wang, Guo, Hao and Wang18,Reference Kramer and Kramer19]. The unpredictability and uncertainty of the COVID-19 pandemic, fear of infection, and COVID-19-related environmental changes are major stressors that trigger a series of mental health problems [Reference Pfefferbaum and North20,Reference Bao, Sun, Meng, Shi and Lu21]. Reports since the onset of the pandemic have documented psychological symptom profiles [Reference Shi, Lu, Que, Huang, Liu and Ran22,Reference Pierce, Hope, Ford, Hatch, Hotopf and John23]. As a major rigorous crisis [Reference Gunnell, Appleby, Arensman, Hawton, John and Kapur24], suicidal ideation and associated factors in the general population should be systematically investigated. Preliminary reports of suicide surges were reported in several studies during the early phase of the pandemic [Reference Dsouza, Quadros, Hyderabadwala and Mamun25,Reference McIntyre and Lee26], and some factors, such as socioeconomic disadvantage, low social support, increased burden, and unemployment, might be associated with suicidal behaviors [27-29]. However, to date, the comprehensive evaluation of suicidal ideation during the COVID-19 pandemic is still lacking.

The objectives of this study with a large nationwide sample were to explore the prevalence of suicidal ideation and its risk factors among the general population in China during the COVID-19 pandemic, and further provide evidence for suicide prevention under a public health emergency.

Methods

Study design

An anonymous national cross-sectional online survey with convenience sampling was conducted from February 28, 2020 to March 11, 2020, during which time the cumulative cases of COVID-19 reached a peak in China. Users aged over 18 years of the Chinese website Joybuy, a large e-commerce and information service company that provides online health products and services, were invited to participate in this self-administered survey voluntarily until the convenience sample covered all 34 provincial-level regions in China. The detailed procedure was described in our previous publication [Reference Shi, Lu, Que, Huang, Liu and Ran22]. In brief, 71,227 individuals clicked on the survey page. Of that number, 56,932 participants completed the survey, with a response rate of 79.9%. After data quality control evaluation, 56,679 participants from 34 province-level regions in China were finally included in the analyses, with an effective rate of 99.6%. The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as revised in 2008, and were approved by the Peking University Sixth Hospital Institutional Review Board.

Measurements

Information on demographic characteristics, COVID-19-related factors, psychological health literacy, and suicidal ideation were collected in this survey. Demographic characteristics included age, gender, location, marital status, educational level, and monthly family income. Questions pertaining to past history and family history of mental disorders, and history of sleep problems were also asked. The survey questions included inquiries into COVID-19 specific factors that may contribute to suicidal ideation, whether infected with COVID-19 or not, exposed to the most severely affected region recently, experiences of quarantine and unemployment, and participation in frontline work. Frontline work referred to work that had direct contact with confirmed cases of COVID-19 [Reference Shi, Lu, Que, Huang, Liu and Ran22]. In addition, attention to COVID-19-related information and perceived knowledge of COVID-19 was assessed using a visual analog scale, where zero indicates paying no attention or ignorant of COVID-19-related information, while 10 indicates being highly knowledgeable and paying constant attention to COVID-19-related information.

The psychological information were evaluated in three domains: (a) perceived psychological stress before and after the COVID-19 pandemic using a visual analog scale, (b) seeking psychological knowledge following the COVID-19 outbreak, and (c) degree of access to information about psychological interventions during the pandemic. Item 9 of the Patient Health Questionnaire-9 was used to assess the presence of suicidal ideation as follows: “Over the last two weeks, how often have you been bothered by thoughts that you would be better off dead, or of hurting yourself in some way?” The response options were “not at all,” “several days,” “more than half the days,” and “nearly every day.” Suicidal ideation was defined as positive if respondents answered, “several days,” “more than half the days,” and “nearly every day,” or negative if answered “not at all” [Reference Rotenstein, Ramos, Torre, Segal, Peluso and Guille30,Reference Rossom, Coleman, Ahmedani, Beck, Johnson and Oliver31]. In addition, according to the various degrees of suicidal ideation, the participants with suicidal ideation were further divided into three groups: seldom (several days), often (more than half the days), and always (nearly every day) suicidal ideation.

Data analysis

Descriptive statistics were used to present demographic, COVID-19-related, and psychological data. Means with standard deviations were used to describe continuous variables, and numbers with percentages were used to describe categorical variables. The prevalence with 95% confidence interval (CI) of suicidal ideation in different demographic characteristics and COVID-19-related factors was reported by gender. Tests of χ 2 were used to assess statistical differences in categorical variables. The associations between suicidal ideation and relevant covariates were analyzed using the multivariable logistic regression model, and factors associated with the severity of suicidal ideation were examined using ordinal logistic regression analysis. In addition, the participants were divided into three groups based on their changes in psychological stress after the COVID-19 pandemic, and potential factors associated with suicidal ideation in each group were explored using multivariable logistic regression analysis. Multivariable adjusted odds ratios (ORs) with 95% CIs were reported. Data analyses were conducted using the SPSS 20 software. All tests were two-sided, with p-value less than 0.05, considered significant.

Results

Descriptive characteristics

In this national cross-sectional online survey, 56,679 participants (27,149 [47.9%] males and 29,530 [52.1%] females) from 34 province-level regions were included in the final analysis. Table 1 presents the characteristics of 47,357 (83.6%) participants without suicidal ideation and 9,322 (16.4%) participants with suicidal ideation. Of these, 6,206 (10.9%) participants seldom reported suicidal ideation, 2,320 (4.1%) often had suicidal ideation, and 796 (1.4%) always reported suicidal ideation over the past 2 weeks (see Supplementary Table 1). Most participants with suicidal ideation were male (55.7%), aged 18–44 years (88.9%), living in urban areas (91.8%), married (72.9%), and had an educational level of college and higher (80.9%). In addition, 63 (0.7%) of them were suspected or confirmed to be infected with COVID-19 and 1,863 (20.0%) participated in frontline work. A total of 3,202 (34.3%) respondents with suicidal ideation experienced quarantine, and 666 (7.1%) reported unemployment. Also, 1,531 (16.4%) of the 9,322 participants with suicidal ideation had more access to psychological information during the COVID-19 pandemic.

Table 1. Demographic characteristics of participants.

Note: COVID-19, coronavirus disease 2019; SD, standard deviation.

Prevalence of suicidal ideation stratified by sampling clusters

The overall prevalence of suicidal ideation was 16.4% (95% CI, 16.2–16.8) among the population surveyed during the pandemic. Males had a higher prevalence of various degrees of suicidal ideation (19.1%; 95% CI, 18.7–19.6) than females (14.0%; 95% CI, 13.6–14.4; p < 0.001), and the prevalence significantly decreased from the 18 to 24 years group (male: 26.3%; 95% CI, 24.3–28.3. female: 22.4%; 95% CI, 20.2–24.7) compared to those aged 45 years or older (male: 13.1%; 95% CI, 12.1–14.2. female: 10.7%; 95% CI, 9.9–11.7; Figure 1). As shown in Table 2, the prevalence of suicidal ideation decreased significantly with increasing monthly family income, from 21.1% (95% CI, 20.4–21.9) in participants with less than 5,000 RMB per month to 12.6% (95% CI, 12.1–13.1; p < 0.001) in participants with 12,000 RMB or higher monthly family income. Furthermore, people from areas with relatively low-income levels (rural areas: 19.8%; 95% CI, 18.6–21.1. northwest regions: 19.0%; 95% CI, 17.0–21.2) reported a higher prevalence of suicidal ideation compared to those from high economic development areas. Individuals with a history of mental disorders (41.6%; 95% CI, 34.0–49.6) and sleep problems (21.6%; 95% CI, 21.0–22.2) had a higher prevalence of suicidal ideation than those without a history of mental disorders (16.2%; 95% CI, 15.9–16.5; p < 0.001) or sleep problems (14.4%; 95% CI, 14.1–14.8; p < 0.001). During the COVID-19 pandemic, individuals with confirmed or suspected infection by COVID-19 (63.0%; 95% CI, 52.7–72.3) reported higher rates of suicidal ideation compared to uninfected individuals (16.4%; 95% CI, 16.1–16.7; p < 0.001). Participants who were quarantined for more than 14 days (18.7%; 95% CI, 18.1–19.4) had a significantly higher prevalence of suicidal ideation than those without quarantine (15.2%; 95% CI, 14.9–15.6; p < 0.001). Surprisingly, the prevalence of suicidal ideation was found to be higher in those who were partially quarantined than in those who completed it. Individuals with unemployment also showed increased suicidal ideation (31.9%; 95% CI, 29.9–33.9) compared to those without experience of unemployment (15.9%; 95% CI, 15.6–16.2; p < 0.001). The prevalence of suicidal ideation in frontline workers (19.2%; 95% CI, 18.4–20.0) was significantly higher than those who were not in the frontline (15.9%; 95% CI, 15.6–16.2; p < 0.001). However, individuals who had more access to psychological information after the COVID-19 outbreak (13.8%; 95% CI, 13.2–14.5) had a lower rate of suicidal ideation than those with less access (17.1%; 95% CI, 16.7–17.4; p < 0.001).

Figure 1. Prevalence of suicidal ideation in different gender with different ages during the COVID-19 pandemic. Error bars represent 95% CI.

Table 2. Prevalence (%) of suicidal ideation stratified by sampling clusters during the COVID-19 pandemic.

Factors associated with suicidal ideation during the COVID-19 pandemic

Table 3 shows the results of the multivariable-adjusted logistic regression model. Male gender, younger age, unmarried status, lower family income, history of mental disorders and sleep problems, and family history of mental disorders were associated with an increased risk of suicidal ideation. Psychological and COVID-19-related factors, including confirmed or suspected infection with COVID-19 (OR, 3.50; 95% CI, 2.20–5.59; p < 0.001), living in the most severely affected region (still remaining: OR, 1.47; 95% CI, 1.29–1.67; p < 0.001. left: OR, 1.54; 95% CI, 1.17–2.02; p = 0.002), experience of quarantine (duration < 14 days: OR, 1.39; 95% CI, 1.24–1.55; p < 0.001. duration ≥ 14 days: OR, 1.11; 95% CI, 1.05–1.17; p < 0.001), unemployment (OR, 1.77; 95% CI, 1.60–1.97; p < 0.001), participating in frontline works (OR, 1.21; 95% CI, 1.14–1.29; p < 0.001), higher perceived psychological stress during the COVID-19 pandemic (OR, 1.12; 95% CI, 1.11–1.13; p < 0.001), and more difficulty in access to information about psychological interventions (OR, 1.19; 95% CI, 1.17–1.20; p < 0.001) were significantly associated with the increased risk of suicidal ideation, whereas paying more attention to information about COVID-19 pandemic (OR, 0.88; 95% CI, 0.87–0.89; p < 0.001), better understanding of COVID-19-related knowledge (OR, 0.95; 95% CI, 0.94–0.97; p < 0.001), and getting more access to knowledge about psychological interventions during the COVID-19 pandemic (OR, 0.74; 95% CI, 0.69–0.79; p < 0.001) were associated with lower odds of suicidal ideation.

Table 3. Multivariable analysis of factors associated with suicidal ideation during the COVID-19 pandemic.

The ordinal logistic regression analysis identified several demographic and clinical characteristics and COVID-19-related factors that were associated with the various degrees of suicidal ideation, which were consistent with the variables related to the overall suicidal ideation (see Supplementary Table 2). In addition, some factors (e.g., quarantine, unemployment, frontline work, and access to information of the COVID-19 pandemic and psychological knowledge) were independently associated with the risk of suicidal ideation across different groups of distinct changes in psychological stress (see Supplementary Table 3), further validating the relationship of COVID-19 experiences and suicidal ideation.

Discussion

This study of a large nationwide sample from China found a relatively high prevalence of suicidal ideation among the general population during the COVID-19 pandemic. Several factors have been shown to be independently associated with increased risk for suicidal ideation and its various severities, including basic demographic and clinical characteristics (gender, age, marital status, family income level, and history of mental disorders and sleep problems), epidemic-related experience (history of infection, ever been to the most severely affected region, quarantine, unemployment, participation in frontline work, and COVID-19-related information exposure), and current psychological state (perceived psychological stress and access to information on psychological services). These findings provide a comprehensive profile of suicidal ideation in the general population during the COVID-19 pandemic, and suggest the importance of relevant mental health policy-making and suicide prevention in a public health emergency.

Compared to previous infectious disease outbreaks, such as SARS and Middle East respiratory syndrome, COVID-19 is associated with faster contagion and affects more people [Reference Meo, Alhowikan, Al-Khlaiwi, Meo, Halepoto and Iqbal32]. Fear of contagion, shortage of protective equipment, high-intensity rescue work, social isolation, and a series of environmental changes may lead to suicidal behaviors [Reference Gunnell, Appleby, Arensman, Hawton, John and Kapur24]. Consistent with previous reports [33-36], this study found that people at risk, such as those with confirmed and suspected infection, frontline workers, and people with pre-existing mental disorders, presented a high prevalence of suicidal ideation. In addition, those with the most severe COVID-19 affected region showed increased suicidal ideation, which may be related to psychological problems due to a higher risk of exposure to COVID-19 [Reference Shi, Lu, Que, Huang, Liu and Ran22]. Our prior studies have noted that frontline workers, especially medical staff, during the COVID-19 pandemic were vulnerable to psychological problems [Reference Shi, Lu, Que, Huang, Liu and Ran22,Reference Que, Shi, Deng, Liu, Zhang and Wu37], and frontline healthcare workers in Wuhan, the city most affected by COVID-19 in China, showed the greatest severity of distress symptoms [Reference Lai, Ma, Wang, Cai, Hu and Wei38]. Considering the high likelihood of a prolonged COVID-19 pandemic, more preventive strategies for suicidal behaviors should be delivered to these susceptible populations.

The results of this study showed that young adults and males are more vulnerable to experiencing various degrees of suicidal ideation compared to older populations and females. This is consistent with our previous findings that young people are more prone to depression, anxiety, insomnia, and acute stress, and males were vulnerable to depression, insomnia, and acute stress during the COVID-19 pandemic [Reference Shi, Lu, Que, Huang, Liu and Ran22]. It has been proposed that lack of physical activity increases the likelihood of suicidal behaviors in young people [Reference Vancampfort, Hallgren, Firth, Rosenbaum, Schuch and Mugisha39]. Regarding gender, previous studies have indicated that females have higher suicidal ideation than males [Reference Ladwig, Klupsch, Ruf, Meisinger, Baumert and Erazo40,Reference Lange, Bagge, Probst and Rehm41]. However, higher rates of COVID-19 infection in males may have contributed to the greater prevalence found in our study [Reference Li, Huang, Wang, Wang, Liang and Huang42]. It follows that young men with a higher prevalence of suicidal ideation should be a priority group for targeted suicide prevention.

In this survey, the experience of quarantine and unemployment was found to be associated with suicidal ideation across populations with different changes in psychological stress during the pandemic. To mitigate the rapid transmission of COVID-19 [Reference Bauch and Anand43,Reference Ferretti, Wymant, Kendall, Zhao, Nurtay and Abeler-Dorner44], quarantine was employed by most countries, including China. However, quarantine has a significant negative impact on mental wellness and is well documented to be associated with depression, anxiety, and increased stress because of fear of infection, social isolation, insufficient supply, inadequate information, financial loss, and stigma [Reference Brooks, Webster, Smith, Woodland, Wessely and Greenberg45]. Some cases of suicidal behaviors associated with quarantine have been reported since the outbreak of COVID-19 [Reference Goyal, Chauhan, Chhikara, Gupta and Singh46,Reference Aquila, Sacco, Ricci, Gratteri and Ricci47]. Moreover, this study found that those who underwent partial quarantine experience (less than 14 days) had a higher risk of suicidal ideation than those with a long quarantine duration. This may be because sufficient quarantine duration may decrease the possibility of COVID-19 infection, and reduce the risk of viral spread. Combined with previous and current findings, quarantine with sufficient time (e.g., over 14 days) and social connection are needed to prevent from suicidal behaviors during the COVID-19 pandemic [Reference Courtet, Olie, Debien and Vaiva48].

In addition to quarantine, unemployment was also found in this study to increase the risk of suicidal ideation. Published suicide literature unrelated to pandemics has confirmed a direct relationship between unemployment and suicidal ideation [Reference Fergusson, Boden and Horwood49], such that for every percentage increase in unemployment, the suicide rate increases by approximately 0.6% [Reference Lee, Hui, Chan, Chang, Chan and Chen50]. At the initial stage of the COVID-19 pandemic, the effects on unemployment were evaluated [Reference Halford, Lake and Gould51]. In this study, 3.7% of participants had experience of unemployment, and of this one third or more reported suicidal ideation. Moreover, in contrast to people with high-family income and from economically developed areas, we observed relatively higher reports of suicidal ideation in the low family income and economically undeveloped areas group. These findings suggest that during the infectious disease pandemic, economic, and psychological support is necessary for people experiencing unemployment and financial problems.

Attention to and knowledge of COVID-19-related information is another important factor in suicidal ideation. People who were more attentive to information on the pandemic and had a better understanding of its consequences had a lower prevalence of suicidal ideation. However, other researchers have reported a positive link between information exposure to COVID-19 and emotional distress [Reference Yao52]. This discrepancy may be due to the source of the information and may also be influenced by personal COVID-19-related experiences [Reference Liu and Liu53]. For example, COVID-19 information from medical staff might cause less psychological distress compared to that from the Internet, and healthcare workers with formal lessons could cope better with psychological problems [Reference Ko, Lu, Chen, Li, Wang and Hsu54]. Specifically, having reliable knowledge about psychological interventions was a protective factor against the severity of suicidal ideation during the COVID-19 pandemic in this study. Effective education as part of mental health care will likely alleviate the adverse psychological impact and reduce the likelihood of suicide [Reference Wasserman, Iosue, Wuestefeld and Carli55,Reference Kapur, Ibrahim, While, Baird, Rodway and Hunt56]. Digital and social media are more suitable for disseminating mental health knowledge than traditional healthcare, which has a deficiency of limited access, especially in lower and middle-income countries [Reference Hollis, Morriss, Martin, Amani, Cotton and Denis57,Reference Wang, Aguilar-Gaxiola, Alonso, Angermeyer, Borges and Bromet58]. Furthermore, digital technology and social media can greatly enhance the quick dissemination of time-sensitive health information in pandemics and is particularly useful to reach young adults who were proven to be vulnerable populations of suicidal ideation in this study. In future, these dissemination channels should be systematically evaluated for effectiveness and sustainability.

This study, with a relatively large sample, systematically researched the profile of suicidal ideation in China during the COVID-19 pandemic. However, this study had several limitations. First, it was a cross-sectional study, and the causal relationship between multiple risk factors, such as quarantine and unemployment, and suicidal ideation could not be determined. Second, although item 9 of the Patient Health Questionnaire-9 is widely used to assess suicidal ideation [Reference Rossom, Coleman, Ahmedani, Beck, Johnson and Oliver31,Reference Uebelacker, German, Gaudiano and Miller59], a single item may bias the results, and it was not able to explore other domains of suicidality, such as suicidal plans and attempts. Third, online surveys have the inherent bias of self-selection and social desirability, and may lead to greater participation of younger, more educated, and technologically savvy populations. Finally, the assessment of pre-existing sleep problems and mental disorders with a single question was not comprehensive, as some participants were not aware of their diseases, and some may be reluctant to report psychological problems due to stigma.

In conclusion, the prevalence of suicidal ideation in China during the COVID-19 pandemic was relatively high, particularly in cases of COVID-19, frontline workers, individuals with a history of mental health problems, those experiencing quarantine and unemployment, and those with poor health-related information. Provision of health information on infection as well as mental wellness is crucial to reduce the risk of suicidal ideation. These findings contribute to a greater understanding of suicidal behaviors during pandemics, help to identify at-risk populations, and lead to targeted prevention strategies. Longitudinal studies with a broader measurement of suicidal behaviors, as well as systematic evaluation of long-term outcomes are needed.

Acknowledgments

We thank all of the participants for their willingness to participate in the study and the time that they devoted to the study.

Financial Support

This work was supported by grants from the Special Research Fund of PKUHSC for Prevention and Control of COVID-19 (grant number BMU2020HKYZX008), National Natural Science Foundation of China (grant numbers 81761128036, 81821092, and 31900805), Young Elite Scientists Sponsorship Program by CAST (grant number 2019QNRC001) and Beijing Natural Science Foundation (grant number 7194336).

Conflict of Interest

All authors declare that they have no conflict of interest.

Data Availability Statement

We do not make our resources publicly available.

Supplementary Materials

To view supplementary material for this article, please visit http://dx.doi.org/10.1192/j.eurpsy.2021.5.

Footnotes

Le Shi and Jian-Yu Que contributed equally to this work.

References

World Health Organization. Suicide data, https://www.who.int/mental_health/prevention/suicide/suicideprevent/en/; 2020 [accessed 27 December 2020].Google Scholar
Cao, XL, Zhong, BL, Xiang, YT, Ungvari, GS, Lai, KY, Chiu, HF, et al. Prevalence of suicidal ideation and suicide attempts in the general population of China: a meta-analysis. Int J Psychiatry Med. 2015;49:296–308.CrossRefGoogle ScholarPubMed
Han, B, McKeon, R, Gfroerer, J. Suicidal ideation among community-dwelling adults in the United States. Am J Public Health. 2014;104:488–497.CrossRefGoogle ScholarPubMed
Han, B, Compton, WM, Gfroerer, J, McKeon, R. Prevalence and correlates of past 12-month suicide attempt among adults with past-year suicidal ideation in the United States. J Clin Psychiatry. 2015;76:295–302.CrossRefGoogle ScholarPubMed
van Heeringen, K, Mann, JJ. The neurobiology of suicide. Lancet Psychiatry. 2014;1:63–72.CrossRefGoogle ScholarPubMed
Liu, RT, Miller, I. Life events and suicidal ideation and behavior: a systematic review. Clin Psychol Rev. 2014;34:181–192.CrossRefGoogle ScholarPubMed
Batty, GD, Kivimaki, M, Bell, S, Gale, CR, Shipley, M, Whitley, E, et al. Psychosocial characteristics as potential predictors of suicide in adults: an overview of the evidence with new results from prospective cohort studies. Transl Psychiatry. 2018;8:22.CrossRefGoogle ScholarPubMed
Moreno, JL, Nabity, PS, Kanzler, KE, Bryan, CJ, McGeary, CA, McGeary, DD. Negative life events (NLEs) contributing to psychological distress, pain, and disability in a U.S. military sample. Mil Med. 2019;184:e148–e155.CrossRefGoogle Scholar
Moscicki, EK, Umhau, JC. Environmental stressors may drive inflammation and alter neurocircuitry to promote suicidal behavior. Curr Psychiatry Rep. 2019;21:21.CrossRefGoogle ScholarPubMed
Bell, S, Russ, TC, Kivimaki, M, Stamatakis, E, Batty, GD. Dose-response association between psychological distress and risk of completed suicide in the general population. JAMA Psychiatry. 2015;72:1254–1256.CrossRefGoogle ScholarPubMed
Tucci, V, Moukaddam, N, Meadows, J, Shah, S, Galwankar, SC, Kapur, GB. The forgotten plague: psychiatric manifestations of Ebola, Zika, and emerging infectious diseases. J Glob Infect Dis. 2017;9:151–156.CrossRefGoogle ScholarPubMed
Secor, A, Macauley, R, Stan, L, Kagone, M, Sidikiba, S, Sow, S, et al. Mental health among Ebola survivors in Liberia, Sierra Leone and Guinea: results from a cross-sectional study. BMJ Open. 2020;10:e035217.CrossRefGoogle ScholarPubMed
Chan, SM, Chiu, FK, Lam, CW, Leung, PY, Conwell, Y. Elderly suicide and the 2003 SARS epidemic in Hong Kong. Int J Geriatr Psychiatry. 2006;21:113–118.CrossRefGoogle ScholarPubMed
Cheung, YT, Chau, PH, Yip, PS. A revisit on older adults suicides and severe acute respiratory syndrome (SARS) epidemic in Hong Kong. Int J Geriatr Psychiatry. 2008;23:1231–1238.CrossRefGoogle ScholarPubMed
Sanche, S, Lin, YT, Xu, C, Romero-Severson, E, Hengartner, N, Ke, R. High contagiousness and rapid spread of severe acute respiratory syndrome coronavirus 2. Emerg Infect Dis. 2020;26:1470–1477.CrossRefGoogle ScholarPubMed
Mahase, E. COVID-19: WHO declares pandemic because of “alarming levels” of spread, severity, and inaction. BMJ. 2020;368:m1036.CrossRefGoogle ScholarPubMed
World Health Organization. Coronavirus disease (COVID-19) pandemic, https://www.who.int/emergencies/diseases/novel-coronavirus-2019; 2020 [accessed 27 December 2020].Google Scholar
Pan, A, Liu, L, Wang, C, Guo, H, Hao, X, Wang, Q, et al. Association of public health interventions with the epidemiology of the COVID-19 outbreak in Wuhan, China. JAMA. 2020;323:1915–1923.CrossRefGoogle ScholarPubMed
Kramer, A, Kramer, KZ. The potential impact of the COVID-19 pandemic on occupational status, work from home, and occupational mobility. J Vocat Behav. 2020;119:103442.CrossRefGoogle ScholarPubMed
Pfefferbaum, B, North, CS. Mental health and the COVID-19 pandemic. N Engl J Med. 2020;383:510–512.CrossRefGoogle ScholarPubMed
Bao, Y, Sun, Y, Meng, S, Shi, J, Lu, L. 2019-nCoV epidemic: address mental health care to empower society. Lancet. 2020;395:e37–e38.CrossRefGoogle ScholarPubMed
Shi, L, Lu, ZA, Que, JY, Huang, XL, Liu, L, Ran, MS, et 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.CrossRefGoogle ScholarPubMed
Pierce, M, Hope, H, Ford, T, Hatch, S, Hotopf, M, John, A, et al. Mental health before and during the COVID-19 pandemic: a longitudinal probability sample survey of the UK population. Lancet Psychiatry. 2020;7:883–892.CrossRefGoogle ScholarPubMed
Gunnell, D, Appleby, L, Arensman, E, Hawton, K, John, A, Kapur, N, et al. Suicide risk and prevention during the COVID-19 pandemic. Lancet Psychiatry. 2020;7:468–471.CrossRefGoogle ScholarPubMed
Dsouza, DD, Quadros, S, Hyderabadwala, ZJ, Mamun, MA. Aggregated COVID-19 suicide incidences in India: Fear of COVID-19 infection is the prominent causative factor. Psychiatry Res. 2020;290:113145.CrossRefGoogle ScholarPubMed
McIntyre, RS, Lee, Y. Projected increases in suicide in Canada as a consequence of COVID-19. Psychiatry Res. 2020;290:113104.CrossRefGoogle ScholarPubMed
Iob, E, Steptoe, A, Fancourt, D. Abuse, self-harm and suicidal ideation in the UK during the COVID-19 pandemic. Br J Psychiatry. 2020;217:543–546.CrossRefGoogle ScholarPubMed
Gratz, KL, Tull, MT, Richmond, JR, Edmonds, KA, Scamaldo, KM, Rose, JP. Thwarted belongingness and perceived burdensomeness explain the associations of COVID-19 social and economic consequences to suicide risk. Suicide Life Threat Behav. 2020;50:1140–1148.CrossRefGoogle ScholarPubMed
Li, DJ, Ko, NY, Chen, YL, Wang, PW, Chang, YP, Yen, CF, et al. COVID-19-related factors associated with sleep disturbance and suicidal thoughts among the Taiwanese public: a Facebook survey. Int J Environ Res Public Health. 2020;17:4479.CrossRefGoogle ScholarPubMed
Rotenstein, LS, Ramos, MA, Torre, M, Segal, JB, Peluso, MJ, Guille, C, et al. Prevalence of depression, depressive symptoms, and suicidal ideation among medical students: a systematic review and meta-analysis. JAMA. 2016;316:2214–2236.CrossRefGoogle ScholarPubMed
Rossom, RC, Coleman, KJ, Ahmedani, BK, Beck, A, Johnson, E, Oliver, M, et al. Suicidal ideation reported on the PHQ9 and risk of suicidal behavior across age groups. J Affect Disord. 2017;215:77–84.CrossRefGoogle ScholarPubMed
Meo, SA, Alhowikan, AM, Al-Khlaiwi, T, Meo, IM, Halepoto, DM, Iqbal, M, et al. Novel coronavirus 2019-nCoV: prevalence, biological and clinical characteristics comparison with SARS-CoV and MERS-CoV. Eur Rev Med Pharmacol Sci. 2020;24:2012–2019.Google ScholarPubMed
Hao, F, Tan, W, Jiang, L, Zhang, L, Zhao, X, Zou, Y, et al. Do psychiatric patients experience more psychiatric symptoms during COVID-19 pandemic and lockdown? A case-control study with service and research implications for immunopsychiatry. Brain Behav Immun. 2020;87:100–106.CrossRefGoogle ScholarPubMed
Sher, L. The impact of the COVID-19 pandemic on suicide rates. QJM. 2020;113:707–712.CrossRefGoogle ScholarPubMed
Xu, X, Ai, M, Hong, S, Wang, W, Chen, J, Zhang, Q, et al. The psychological status of 8817 hospital workers during COVID-19 epidemic: a cross-sectional study in Chongqing. J Affect Disord. 2020;276:555–561.Google Scholar
Que, J, Yuan, K, Gong, Y, Meng, S, Bao, Y, Lu, L. Raising awareness of suicide prevention during the COVID-19 pandemic. Neuropsychopharmacol Rep. 2020;40:392–395.CrossRefGoogle ScholarPubMed
Que, J, Shi, L, Deng, J, Liu, J, Zhang, L, Wu, S, et al. Psychological impact of the COVID-19 pandemic on healthcare workers: a cross-sectional study in China. Gen Psychiatr. 2020;33:e100259.CrossRefGoogle ScholarPubMed
Lai, J, Ma, S, Wang, Y, Cai, Z, Hu, J, Wei, N, et al. Factors associated with mental health outcomes among health care workers exposed to coronavirus disease 2019. JAMA Netw Open. 2020;3:e203976.CrossRefGoogle ScholarPubMed
Vancampfort, D, Hallgren, M, Firth, J, Rosenbaum, S, Schuch, FB, Mugisha, J, et al. Physical activity and suicidal ideation: a systematic review and meta-analysis. J Affect Disord. 2018;225:438–448.CrossRefGoogle ScholarPubMed
Ladwig, KH, Klupsch, D, Ruf, E, Meisinger, C, Baumert, J, Erazo, N, et al. Sex- and age-related increase in prevalence rates of death wishes and suicidal ideation in the community: results from the KORA-F3 Augsburg Study with 3,154 men and women, 35 to 84 years of age. Psychiatry Res. 2008;161:248–252.CrossRefGoogle ScholarPubMed
Lange, S, Bagge, C, Probst, C, Rehm, J. Proportion of individuals with past-year suicidal ideation who attempted suicide over the past 10 years in the United States, and the influence of age and sex. Crisis. 2020;1–5.Google ScholarPubMed
Li, LQ, Huang, T, Wang, YQ, Wang, ZP, Liang, Y, Huang, TB, et al. COVID-19 patients’ clinical characteristics, discharge rate, and fatality rate of meta-analysis. J Med Virol. 2020;92:577–583.CrossRefGoogle ScholarPubMed
Bauch, CT, Anand, M. COVID-19: when should quarantine be enforced? Lancet Infect Dis. 2020;20:994–995.CrossRefGoogle ScholarPubMed
Ferretti, L, Wymant, C, Kendall, M, Zhao, L, Nurtay, A, Abeler-Dorner, L, et al. Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing. Science. 2020;368:eabb6936.CrossRefGoogle ScholarPubMed
Brooks, SK, Webster, RK, Smith, LE, Woodland, L, Wessely, S, Greenberg, N, et al. The psychological impact of quarantine and how to reduce it: rapid review of the evidence. Lancet. 2020;395:912–920.CrossRefGoogle Scholar
Goyal, K, Chauhan, P, Chhikara, K, Gupta, P, Singh, MP. Fear of COVID 2019: first suicidal case in India! Asian J Psychiatr. 2020;49:101989.CrossRefGoogle ScholarPubMed
Aquila, I, Sacco, MA, Ricci, C, Gratteri, S, Ricci, P. Quarantine of the COVID-19 pandemic in suicide: a psychological autopsy. Med Leg J. 2020;88(4):181–184.CrossRefGoogle ScholarPubMed
Courtet, P, Olie, E, Debien, C, Vaiva, G. Keep Socially (but not physically) connected and carry on: preventing suicide in the age of COVID-19. J Clin Psychiatry. 2020;81:20com13370.CrossRefGoogle ScholarPubMed
Fergusson, DM, Boden, JM, Horwood, LJ. Unemployment and suicidal behavior in a New Zealand birth cohort: a fixed effects regression analysis. Crisis. 2007;28:95–101.CrossRefGoogle Scholar
Lee, EHM, Hui, CLM, Chan, PY, Chang, WC, Chan, SKW, Chen, EYH. Suicide rates, psychiatric hospital bed numbers, and unemployment rates from 1999 to 2015: a population-based study in Hong Kong. Am J Psychiatry. 2018;175:285–286.CrossRefGoogle ScholarPubMed
Halford, EA, Lake, AM, Gould, MS. Google searches for suicide and suicide risk factors in the early stages of the COVID-19 pandemic. PLoS One. 2020;15:e0236777.CrossRefGoogle ScholarPubMed
Yao, H. The more exposure to media information about COVID-19, the more distressed you will feel. Brain Behav Immun. 2020;87:167–169.CrossRefGoogle ScholarPubMed
Liu, C, Liu, Y. Media exposure and anxiety during COVID-19: the mediation effect of media vicarious traumatization. Int J Environ Res Publ Health. 2020;17:4720.CrossRefGoogle ScholarPubMed
Ko, NY, Lu, WH, Chen, YL, Li, DJ, Wang, PW, Hsu, ST, et al. COVID-19-related information sources and psychological well-being: an online survey study in Taiwan. Brain Behav Immun. 2020;87:153–154.CrossRefGoogle ScholarPubMed
Wasserman, D, Iosue, M, Wuestefeld, A, Carli, V. Adaptation of evidence-based suicide prevention strategies during and after the COVID-19 pandemic. World Psychiatry. 2020;19:294–306.CrossRefGoogle ScholarPubMed
Kapur, N, Ibrahim, S, While, D, Baird, A, Rodway, C, Hunt, IM, et al. Mental health service changes, organisational factors, and patient suicide in England in 1997-2012: a before-and-after study. Lancet Psychiatry. 2016;3:526–534.CrossRefGoogle ScholarPubMed
Hollis, C, Morriss, R, Martin, J, Amani, S, Cotton, R, Denis, M, et al. Technological innovations in mental healthcare: harnessing the digital revolution. Br J Psychiatry. 2015;206:263–265.CrossRefGoogle ScholarPubMed
Wang, PS, Aguilar-Gaxiola, S, Alonso, J, Angermeyer, MC, Borges, G, Bromet, EJ, et al. Use of mental health services for anxiety, mood, and substance disorders in 17 countries in the WHO world mental health surveys. Lancet. 2007;370:841–850.CrossRefGoogle ScholarPubMed
Uebelacker, LA, German, NM, Gaudiano, BA, Miller, IW. Patient health questionnaire depression scale as a suicide screening instrument in depressed primary care patients: a cross-sectional study. Prim Care Compan CNS Disord. 2011;13:PCC.10m01027.Google ScholarPubMed
Figure 0

Table 1. Demographic characteristics of participants.

Figure 1

Figure 1. Prevalence of suicidal ideation in different gender with different ages during the COVID-19 pandemic. Error bars represent 95% CI.

Figure 2

Table 2. Prevalence (%) of suicidal ideation stratified by sampling clusters during the COVID-19 pandemic.

Figure 3

Table 3. Multivariable analysis of factors associated with suicidal ideation during the COVID-19 pandemic.

Supplementary material: File

Shi et al. supplementary material

Shi et al. supplementary material

Download Shi et al. supplementary material(File)
File 80.1 KB
Submit a response

Comments

No Comments have been published for this article.