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ORIGINAL RESEARCH article

Front. Psychiatry, 02 August 2024
Sec. Adolescent and Young Adult Psychiatry

Suicidal ideation in Chinese adolescents: prevalence, risk factors, and partial mediation by family support, a cross-sectional study

Xiyan Bao&#x;Xiyan Bao1†Tianming Guo&#x;Tianming Guo2†Li Xu,Li Xu3,4Wanming Chen,Wanming Chen3,4Lingshu Luan,Lingshu Luan2,3Haidong Yang,*Haidong Yang3,5*Xiaobin Zhang*Xiaobin Zhang5*
  • 1Department of Sleep Medicine, The Fourth People’s Hospital of Yancheng, Yancheng, China
  • 2Department of Clinical Medicine, Xuzhou Medical University, Xuzhou, China
  • 3Department of Psychiatry, The Fourth People’s Hospital of Lianyungang, The Affiliated KangDa College of Nanjing Medical University, Lianyungang, China
  • 4Medical College of Yangzhou University, Yangzhou, China
  • 5Institute of Mental Health, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China

Background: Suicidal ideation is a pressing public health concern, particularly among adolescents. The objective of this study was to examine the prevalence of and factors associated with suicidal ideation in Chinese adolescents, addressing an important gap in current research.

Methods: This study employed an online survey of 3443 adolescents in Lianyungang, using a cross-sectional design. The assessment included the use of the Patient Health Questionnaire-9, the seven-item Generalized Anxiety Disorder instrument, and the Perceived Social Support Scale to evaluate suicidal ideation, anxiety symptoms, and social support in adolescents, respectively.

Results: In adolescents, the prevalence of suicidal ideation was 22.1%, with a significantly higher proportion among female adolescents than among males (27.9% vs 16.9%, P < 0.001). Binary regression analysis identified (OR = 1.788, 95% CI: 1.467–2.177, P < 0.001), anxiety symptoms (OR = 10.035, 95% CI: 7.441–13.534, P < 0.001), total PHQ-9 scores of mothers (OR = 1.040, 95%CI: 1.003 – 1.078, P = 0.034), total GAD-7 scores of mothers (OR = 0.958, 95%CI: 0.919 – 0.998, P = 0.039), and moderate parental relationships (OR = 2.042, 95% CI: 1.630–2.557, P < 0.001) to be risk factors for suicidal ideation; family support was a protective factor (OR = 0.888, 95% CI: 0.859–0.918, P < 0.001). Furthermore, family support partially mediates the relationship between anxiety symptoms and suicidal ideation among adolescents (9.28%).

Conclusions: This study highlights high adolescent suicidal ideation rates and recommends gender-specific interventions, anxiety management, and family support for improvement in mental health status.

Introduction

Adolescent is a pivotal developmental phase marked by profound physical, emotional, and social transformations (1). Although many adolescents navigate these transitions smoothly, a significant subset grapple with difficulties, culminating in detrimental effects on their mental health (2). The mental health landscape among adolescents has garnered increasing global concern in recent years. One particularly concerning outcome requiring urgent scrutiny is suicidal ideation, which encompasses thoughts and contemplation of self-harm or suicide (3, 4). According to a previous large-sample survey, the lifetime prevalence of suicidal ideation among pre-adolescent children was approximately 15.2%, with close to 17.0% of suicidal thoughts turning into suicide attempts (5). National and regional statistical data on adolescent suicide mortality rates and specific causes in China are scarce, which to some extent reflects the challenges in collecting and publicizing such data. Nevertheless, the study by Liu et al. provides some valuable insights (6). They reported that the suicide mortality rate among individuals aged 15-29 in western China from 2006 to 2018 was 19.9 per 100,000 population, with no significant difference between males and females (14.0 and 13.4 per 100,000, respectively). The study also identified higher education and previous suicide attempts as strong risk factors for suicide. Such a phenomenon necessitates immediate attention and calls for thorough investigation to mitigate its pervasive impact on this vulnerable population (7).

Suicide ranks as the fourth leading cause of death globally among adolescents and young adults aged 15 to 29 (8). Studies conducted in various countries have revealed alarming rates of suicidal ideation or suicide attempts among adolescents. For example, in one study, the reported prevalence of suicidal ideation among adolescents aged 13–19 years was 24.66%, and the reported prevalence of suicide attempts was 4.37% (9). Additionally, the range of reported prevalence values for suicide attempts among adolescents aged 12–15 years varies from 1.2% to 13.8% (10). A significant proportion of self-reported suicidal ideation among teenagers occurs frequently or consistently, posing a direct risk to their mental health. A cross-sectional study demonstrated that 51.6% of students aged 13–16 reported experiencing suicidal thoughts, with 32.2% reporting active suicidal thoughts within the two weeks preceding the survey (11). Examining the prevalence of suicidal ideation is crucial for developing a comprehensive understanding of this multifaceted phenomenon. Despite the variations, it is evident that suicidal ideation represents a prevalent concern globally.

The correlates of suicidal ideation are complex, and previous studies have found various factors to be associated with it, including psychiatric disorders (such as depression and anxiety), a history of self-harm, social isolation, and adverse childhood experiences (1214). A cluster of randomized controlled studies found that worry, loss of sleep, and anxiety were significant predictors of the risk of suicidal ideation and behavior among youths aged 12–17 years, specifically for an 18-month timeframe (15). A study conducted by Guedria-Tekari et al. revealed that smoking, non-suicidal self-injurious behavior, and low self-esteem were recognized as risk factors associated with suicidal thoughts in adolescents (16). Hesketh et al. found that suicidal ideation among Chinese adolescents was associated with female gender, poor self-reported academic performance, and rural residence (17). Only 1% of students sought professional help, with most relying on friends and parents for support. This indicates that parental or familial support plays a protective role against adolescent suicidal ideation. Additionally, recent studies among Chinese adolescents have shown that non-suicidal self-injury mediates suicidal ideation (18), and there is a significant positive correlation between harsh parenting and adolescent suicidal ideation (19). Self-esteem mediates the relationship between harsh parenting and adolescent suicidal ideation, and school social support moderates the indirect effect of harsh parenting on suicidal ideation (19). These findings further illustrate the complexity of suicidal ideation among adolescents.

In terms of adolescent anxiety symptoms and suicidal ideation, the mediating role of social support proves to be complex and pivotal (20). Social support encompasses various forms of assistance, comfort, and companionship available from individuals within an individual’s social network, such as family members, friends, or peers (21, 22). In addition, more extensive social support serves as a buffer against the development and persistence of both anxiety symptoms and suicidal ideation in adolescents (23, 24). Negligent and affectless control in the family, insecure attachment, and stressful life events are risk factors for suicide, leaving parental care and security-giving as protective factors (25). Adolescents who experience loneliness are 37.6% more likely to develop sleep disorders and have a 21% higher likelihood of experiencing suicidal ideation when compared with the general population (26).

For suicide in adolescents, understanding the prevalence and risk factors is crucial for effective prevention and intervention efforts in addressing the challenges posed by suicidal ideation. Accordingly, the purpose of this study was to investigate 1) the prevalence of suicidal ideation and associated risk factors and 2) whether social support played a mediating role in the relationship between anxiety symptoms and suicidal ideation in adolescents. Through this research, our aim was to make a meaningful contribution to the continually growing body of knowledge surrounding suicidal ideation among adolescents.

Materials and methods

Participants and procedures

A cross-sectional survey was conducted between May and June 2023 to assess the mental health status of urban adolescents in Lianyungang, China. To ensure the representativeness of the sample, we assigned unique identification numbers to the secondary schools in the urban area of Lianyungang. We then used a lottery method to randomly select five schools. Subsequently, unbiased school teachers, who were not affiliated with the research team, carried out a random selection of students from these five schools to ensure the independence, blindness, and randomness of participant selection. General demographic and scale information about the participants was collected through the online questionnaire platform “wenjuanxing” (https://www.wjx.cn/app/survey.aspx). The survey was carried out with the consent of the respective school authorities, parents, and students. The participant recruitment process is illustrated in Figure 1. In the present study, we also collected the patient health questionnaire-9 (PHQ-9) and the generalized anxiety disorder-7 (GAD-7) scores from adolescent mothers.

Figure 1
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Figure 1 Flow chart of this study.

Ethical considerations

Prior to the survey, students were provided with detailed information about the study’s objectives, procedures, data confidentiality, and anonymity. Participation in the survey was completely voluntary, and students had the freedom to discontinue completing the questionnaire at any time if they so desired. The project was conducted with the approval of the Ethics Committee of the Fourth People’s Hospital in Lianyungang. Given the sensitive nature of the research topic, additional protective measures were implemented. All research staff received specialized training to address potential emotional distress. We established a confidential referral system to provide professional mental health support for students exhibiting high-risk behaviors. Anonymous coding was used during data collection to ensure personal information was stored separately from survey data. Furthermore, informed consent was obtained from all participants or their guardians. For minor participants, consent was obtained from both the student and their guardian.

Data collection

The research team developed a semi-structured questionnaire to collect sociodemographic information from participants. The questionnaire covered aspects such as age, gender, presence of single-parent households (yes/no), quality of parental relationships (harmonious/moderate/troubled), and annual household income (high/good/fair/poor). To assess the parental relationship, we asked: ‘How would you describe the relationship between your father and mother?’ The options were: harmonious (parents generally have a good relationship with few quarrels), moderate (parents have a generally good relationship with occasional quarrels), and troubled (parents have a poor relationship with frequent quarrels). The income brackets were defined as follows: “poor” for annual household incomes below CNY 50,000, “fair” for incomes between CNY 50,000 and CNY 100,000, “good” for incomes between CNY 100,000 and CNY 200,000, and “high” for incomes of CNY 200,000 or more.

Suicidal ideation

Participants were evaluated for the presence of suicidal ideation using the PHQ-9. The PHQ-9 is a 4-point scale ranging from 0 to 3, with 0 representing “not at all”, 1 representing “several days”, 2 representing “more than half the days”, and 3 representing “nearly every day” (27). Psychological status was evaluated over a two-week period; the ninth item “Thoughts that you would be better off dead or of hurting yourself in some way” reflected the absence of suicidal ideation with a score of 0 and the presence of such thoughts with a score of ≥ 1 (2830). The PHQ-9 scale has demonstrated good reliability and validity in Chinese and adolescent populations (3133).

Anxiety symptoms

The GAD-7 instrument is a commonly used self-report scale for measuring individual anxiety symptoms over a two-week period. It utilizes a 4-point scale (ranging from 0 to 3) to assess the severity of symptoms, with 0 indicating “not at all”, 1 indicating “several days”, 2 indicating “more than half the days”, and 3 indicating “almost every day”. This scale has a total score range of 0–27, providing insights into the level of anxiety experienced by an individual (34, 35). A study by Spitzer et al. found that the sensitivity and specificity of the GAD-7 scale with a cut-off of 10 points were 89.0% and 82.0%, respectively, which was an appropriate criterion for detecting anxiety symptoms; therefore, we adopted this criterion and considered no anxiety symptoms when the total score was < 10 and anxiety symptoms when the total score was ≥ 10 (36). The GAD-7 scale has been well-validated for reliability and validity in Chinese populations, including adolescents (3739).

Social support

Perceived social support was assessed using the perceived social support scale (PSSS), which is composed of 12 items that are subdivided into three subscales of family, friends, and significant others on a 7-point scale of 1–7, from “very strongly disagree” to “very strongly agree”, with higher scores indicating higher perceived support (40). As measured by Zimet et al., the Cronbach’s alpha coefficients for the family, friends, and significant others subscales were determined to be 0.87, 0.85, and 0.91, respectively (40). The PSSS has been widely applied in research on Chinese populations (23, 41, 42).

Statistical analysis

Statistical Package for the Social Sciences (SPSS) software (version 23.0) was used for statistical analysis. Age and other continuous variables were evaluated using Student’s t-test or independent samples t-test. Mean and standard deviation (SD) were used to assess central tendency and dispersion. Categorical variables were compared via descriptive statistics and the chi-square test. Spearman’s correlation coefficient was applied to assess the correlation between the variables. Logistic regression was used to identify risk factors for suicidal ideation. Multiple regression analysis was conducted to examine the correlation between anxiety symptoms and social support, while controlling for potential confounding factors. The mediating role of anxiety symptoms in the link between social support and suicidal ideation was examined using model 4 of PROCESS v.3.5. To ensure sufficient statistical power, we used G*Power 3.1 for sample size estimation. Based on the anticipated effect size (0.8), significance level (α=0.05), and desired power (1-β, 0.8). we selected a conservative estimate of 0.9 for the ratio var1/var0. The significance level was set at P < 0.05. Figure 1 in the manuscript was created using the Processon online diagram tool (https://www.processon.com/diagrams), and Figure 2 was created using JAMOVI 2.3, along with R version 4.3.0.

Figure 2
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Figure 2 The model showing family support mediating the relationship between anxiety symptoms and suicidal ideation in adolescents. *P < 0.05.

Results

Characteristics of study participants

Of 3532 questionnaires collected, 3443 were found to be valid after excluding 89 for incomplete entries (shown in Figure 1). The surveyed adolescents, aged 12–18, had an average age of 14.88 years (SD 1.59), and an average PSSS score of 65.0 (15.18). Suicidal ideation was present in 22.1% (n = 761) and anxiety symptoms in 10.2% (n = 351). Parental relationships were self-reported as harmonious (72.0%), moderate (24.2%), or troubled (3.8%). Single-parent households made up 10.0%; annual household incomes were categorized as high (25.4%), good (20.1%), fair (51.9%), and poor (2.6%).

Comparison of demographic characteristics and parameters between individuals with suicidal ideation and those without suicidal ideation

As shown in Table 1, a significantly higher proportion of female adolescents reported suicidal ideation compared with males (27.9% VS 16.9%, P < 0.001). The proportion of all individuals with accompanying anxiety symptoms was significantly higher than those without anxiety symptoms (77.2% VS 15.8%, P < 0.001). Moreover, among adolescents with suicidal ideations, there was an increased percentage of depressive symptoms in their mothers (32.9% VS 21.6%, P = 0.002), with no significant difference in anxiety symptoms (23.9% VS 22.0%, P = 0.654).

Table 1
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Table 1 Social demographics and clinical characteristics of individuals with suicidal ideation and without suicidal ideation.

Compared with adolescents without suicidal ideation, those with suicidal ideation had lower scores on the family, friends, and significant other subscales of the PSSS (all P < 0.05). Adolescents in single-parent families exhibited a higher prevalence of suicidal ideation compared with those in non-single-parent families (31.2% VS 21.1%, P < 0.001). Similarly, a higher prevalence of suicidal ideation was observed among adolescents reporting troubled parental relationships and with poor annual family economic income, as compared to those in harmonious parental relationships and with high annual family income (50.8% VS 14.9%; 43.8% VS 16.4%, respectively, all P < 0.001).

Analysis of risk factors associated with suicidal ideation in adolescents

Among the 3,443 adolescents, the proportions reporting of suicidal ideation on a scale of 0-3 were 2682 (77.9%), 609 (17.7%), 84 (2.4%), and 68 (2.0%), respectively.

Binary logistic regression analyses indicated that female sex (OR = 1.788, 95% CI: 1.467–2.177, P < 0.001), anxiety symptoms (OR = 10.035, 95% CI: 7.441–13.534, P < 0.001), total PHQ-9 scores of mothers (OR = 1.040, 95%CI: 1.003 – 1.078, P = 0.034), total GAD-7 scores of mothers (OR = 0.958, 95%CI: 0.919 – 0.998, P = 0.039), and moderate parental relationships (OR = 2.042, 95% CI: 1.630–2.557, P < 0.001) were risk factors for suicidal ideation, while family support was protective (OR = 0.888, 95% CI: 0.859–0.918, P < 0.001). However, the results indicated that age, support from friends or significant other, single-parent families, and annual household income were not risk factors for adolescent suicidal ideation (all P > 0.05) (Table 2).

Table 2
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Table 2 Risk factors related to the prevalence of suicidal ideation.

The mediating role of family support between anxiety symptoms and suicidal ideation

Spearman correlation analysis revealed a positive correlation between suicidal ideation and anxiety symptoms (r = 0.603, P<0.001), as well as a negative correlation with family support (r = –0.426, P<0.001). Further, suicidal ideation was considered as the dependent variable, and multiple regression analysis was utilized to examine the total effects (β=0.585, 95%CI:0.049−0.054, R2 = 0.406) and direct effects (β=0.525, 95%CI:0.044−0.049, R2 = 0.424) of total anxiety symptom scores on suicidal ideation. Family support was used as the dependent variable, and multiple regression analysis was conducted to analyze the effect of total anxiety symptom scores on family support (β=–0.366, 95%CI: –0.474 to –0.404, R2 = 0.321). The path diagram of the regression model is shown in Figure 2.

Furthermore, as shown in Table 3, family support showed a partial mediation effect in the relationship between anxiety symptoms and suicidal ideation, with the mediating effect contributing 9.28% to the total effect.

Table 3
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Table 3 Indirect and total effects for the mediation analyses.

Discussion

This study reveals a 22.1% prevalence of suicidal ideation among Chinese adolescents. Female sex, anxiety symptoms, the mothers exhibited depressive symptoms, insufficient family support, and parental relationships heightened the risk. Moreover, family support mediates the relationship between anxiety symptoms and suicidal ideation.

The prevalence of suicidal ideation among Chinese adolescents was found to be 22.1% in our study. It is important to note that the research on the prevalence of suicidal ideation among adolescents has yielded inconsistent findings across different cultural backgrounds, countries, and periods. For instance, according to Peng et al., the prevalence of suicidal ideation among Chinese adolescents was 23.5% (43). The prevalence of self-reported suicidal ideation in Polish adolescents was 24.66% (9), and in Tunisian adolescents was 26.9% (16). A study examining the prevalence of suicidal ideation among U.S. adolescents from 1991 to 2019 found that it ranged from 19.4% to 15.8% (44). A meta-analysis examining data from 1989 to 2018 found that the 12-month prevalence of suicidal ideation among adolescents was estimated to be 18% (45). During COVID-19, the prevalence ranged from 29.7% to 31.3% (46). Although these results vary, these alarming statistics highlight the urgent need for effective strategies to prevent and address suicidal ideation in this vulnerable group.

One important finding of our study is the association of female sex with suicidal ideation. Specifically, females were found to have a higher risk of experiencing more suicidal ideation. This result aligns with previous research indicating that females are more vulnerable to suicidal ideation (4749). Previous studies have elucidated the ways in which females are more prone to suicidal ideation. Ho et al. found pubertal hormonal changes and social stressors to have an impact on neurobiologically sensitive female adolescents (50). Giletta et al. identified the hypothalamic–pituitary–adrenal axis stress response to be a risk factor in females (51). These insights clarify the link between female sex and suicidal ideation in neurobiological and psychosocial contexts. Nevertheless, understanding the risk factors associated with suicidal ideation in females remains complex, underscoring the need for continued research to explore the underlying factors contributing to this gender difference.

Anxiety symptoms significantly correlate with suicidal ideation in adolescents, as evidenced by existing studies (15, 52, 53). Research, including one study with 7054 adolescents averaging 15.8 years, highlights the link between generalized anxiety symptoms and suicidal thoughts (54). Similarly, a cross-sectional study among high schoolers revealed this moderate association (55). Moreover, a systematic review and meta-analysis demonstrated a significant association between higher levels of social anxiety and more frequent occurrences of suicidal ideation (52). Multiple multilevel analyzed studies have consistently highlighted a significant correlation between learning anxiety and suicidal ideation (56). Furthermore, studies investigating the relationship between anxiety symptoms and suicidal ideation consistently emphasize the importance of addressing anxiety symptoms as a crucial preventive measure against suicidal ideation in adolescents.

Our study highlights the significant link between adolescents’ suicidal ideations and their mothers’ depressive symptoms. Consistent with prior research, maternal depression emerges as a potential risk factor for adolescent suicidality (57, 58). This complex relationship warrants a comprehensive approach that considers other influencing factors and the reciprocal effects of maternal depression and adolescent suicidality (59, 60). Consequently, our findings and supporting literature emphasize the importance of early identification and family-centered interventions to mitigate the risk of suicidal ideations in adolescents.

In addition, lacking family support and parental relationships were found to be associated with an increased risk of suicidal ideation. These findings are in line with previous research highlighting the importance of family relationships and support as protective factors against suicidal ideation (21, 61), while family conflict exacerbates the severity of suicidal ideation (62). These studies also underscore the crucial role of family dynamics and support systems in promoting adolescent mental health (63, 64).

Furthermore, the present study found that family support had a partial mediating effect on the relationship between anxiety symptoms and suicidal ideation, suggesting that strengthening family support systems may serve as a protective factor, which is consistent with previous study (21, 65). For example, a previous longitudinal study demonstrated that high levels of parental support significantly reduced the development of anxiety symptoms in adolescents, thereby indirectly decreasing the emergence of suicidal ideation (66). Another study found that family support played a protective role in mitigating anxiety symptoms and reducing suicidal ideation (67). These findings suggest that enhancing family support can effectively alleviate psychological stress and negative emotions in adolescents, thereby reducing the occurrence of suicidal ideation. However, it is important to note that family support alone is not sufficient to explain fully the relationship between anxiety symptoms and suicidal ideation. Other factors, such as individual coping mechanisms, peer relationships, and access to mental health resources, may also contribute to the complex interplay between anxiety and suicidal ideation in adolescents, and also require attention.

In recent years, China has made significant progress in adolescent mental health policies (68), as evidenced by the 2012 Mental Health Law and the 2019 guidelines on strengthening mental health education in schools. However, challenges remain in implementing these policies and allocating resources, particularly in rural and underdeveloped areas. Our research findings suggest the formulation and implementation of evidence-based policies and interventions. To address the higher risk of suicidal ideation among female adolescents, it is crucial to enhance tailored mental health support. Specifically, schools can implement gender-specific mental health education programs, provide safe spaces for discussion, and train teachers to identify high-risk female students. Moreover, improving accessibility to treatment for anxiety symptoms is essential to reduce the likelihood of developing suicidal ideation. Healthcare providers should consider establishing on-campus counseling stations to offer low-threshold mental health services and conduct anxiety management workshops. Strengthening family support programs can play a vital role in mitigating the risk by providing guidance and support, particularly for those with troubled parental relationships. This can be achieved through organizing parental education courses, family counseling services, and parent-child activities. Policymakers should consider incorporating mental health education into school curricula and increasing funding for school-based mental health services. By implementing these measures, we can work towards creating a safer and more supportive environment for adolescent mental health.

Although our study provides valuable insights into the prevalence and risk factors of suicidal ideation among Chinese adolescents, it is important to acknowledge some limitations. The data collected in this study relied on self-report measures, which may be subject to recall bias. To address this limitation in future research, studies could employ multi-informant data collection methods, incorporating reports from parents and teachers, as well as medical records, to enhance the accuracy and reliability of the data. Additionally, the study design was cross-sectional, limiting our ability to establish causal relationships. Future longitudinal studies are needed to explore further the complex interactions between various risk factors and suicidal ideation among adolescents. Specifically, future research should consider conducting longitudinal studies with regular assessments, such as every six months or annually, over a period of 3-5 years. This longitudinal approach would facilitate the establishment of causal relationships between risk factors and suicidal ideation, as well as observe how these relationships evolve over time. Thirdly, due to constraints in the study design, we were unable to include some important factors that may influence suicidal ideation, such as rural areas, circadian cycle regulation, drug use, depression, stress, and hormonal regulation. These factors could potentially have significant impacts on suicidal ideation among adolescents. Future studies should consider incorporating these variables to gain a more comprehensive and in-depth understanding of the risk factors for suicidal ideation in adolescents, thereby informing more targeted intervention strategies.

Conclusions

In conclusion, this study highlights the high prevalence of suicidal ideation among adolescents and identifies several risk factors associated with its occurrence. A partial mediating role of family support was found in the relationship between anxiety symptoms and suicidal ideation. Suicidal ideation among adolescents requires attention, and families, schools and policy makers should collaborate to plan measures to prevent suicidal ideation among adolescents. Our findings provide a foundation for the formulation and implementation of evidence-based policies and interventions, including tailored mental health support for female adolescents, improved accessibility to treatment for anxiety symptoms, and strengthened family support programs. By implementing these multifaceted strategies, we can work towards creating a safer and more supportive environment for adolescent mental health, effectively reducing the risk of suicidal ideation.

Data availability statement

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

Ethics statement

The project was conducted with the approval of the Ethics Committee of the Fourth People’s Hospital in Lianyungang. 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

XB: Writing – original draft, Data curation, Methodology, Software. TG: Writing – original draft, Data curation, Methodology, Software. LX: Data curation, Formal Analysis, Investigation, Writing – original draft. WC: Data curation, Investigation, Methodology, Writing – original draft. LL: Data curation, Investigation, Writing – original draft. HY: Conceptualization, Funding acquisition, Investigation, Writing – review & editing, Formal Analysis, Supervision. XZ: Conceptualization, Funding acquisition, Supervision, Writing – review & editing, Methodology, Validation.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The study was supported by the Suzhou Key Technologies Program (SKY2021063), Suzhou clinical Medical Center for mood disorders (No. Szlcyxzx202109), Suzhou Clinical Key disciplines for Geriatric Psychiatry (SZXK202116), Lianyungang Science and Technology Bureau of Social Development Key R&D Projects (SF2208) and General Program of Lianyungang Health Committee (NO.202336). The funding sources of this study had no role in study design, data collection and analysis, decision to publish, or preparation of the article.

Acknowledgments

We would like to thank the participants in the study. We thank the developers of the Processon online diagram tool (https://www.processon.com/diagrams) and JAMOVI 2.3 for providing the platforms used to create the figures in the manuscript. We thank International Science Editing (http://www.internationalscienceediting.com) for editing this manuscript.

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.

The reviewer FZ declared a shared affiliation with the author HY to the handling editor at the time of review.

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. Braams BR, Krabbendam L. Adolescent development: From neurobiology to psychopathology. Curr Opin Psychol. (2022) 48:101490. doi: 10.1016/j.copsyc.2022.101490

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Adu J, Oudshoorn A, Van Berkum A, Pervez R, Norman R, Canas E, et al. Review: System transformation to enhance transitional age youth mental health - a scoping review. Child Adolesc Ment Health. (2022) 27:399–418. doi: 10.1111/camh.12592

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Bommersbach TJ, McKean AJ, Olfson M, Rhee TG. National trends in mental health-related emergency department visits among youth, 2011-2020. JAMA. (2023) 329:1469–77. doi: 10.1001/jama.2023.4809

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Qiao C, Lin J, Huang J, Zhou L, Huang Y, Shang Y, et al. An exploration of the association between family functioning and nonsuicidal self-injury among Chinese adolescents with mood disorders. Eur J Psychiatry. (2024) 38. doi: 10.1016/j.ejpsy.2023.100226

CrossRef Full Text | Google Scholar

5. Liu RT, Walsh RFL, Sheehan AE, Cheek SM, Sanzari CM. 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

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Liu X, Yang X, Wang D, Fan R, Wang R, Xiang H, et al. Risk factors for mortality due to natural causes and suicide among people with severe mental illness in western China. Psychiatry Res. (2023) 322. doi: 10.1016/j.psychres.2023.115108

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Geoffroy MC, Bouchard S, Per M, Khoury B, Chartrand E, Renaud J, et al. Prevalence of suicidal ideation and self-harm behaviours in children aged 12 years and younger: a systematic review and meta-analysis. Lancet Psychiatry. (2022) 9:703–14. doi: 10.1016/S2215-0366(22)00193-6

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Walsh EH, McMahon J, Herring MP. Research Review: The effect of school-based suicide prevention on suicidal ideation and suicide attempts and the role of intervention and contextual factors among adolescents: a meta-analysis and meta-regression. J Child Psychol Psychiatry. (2022) 63:836–45. doi: 10.1111/jcpp.13598

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Zygo M, Pawlowska B, Potembska E, Dreher P, Kapka-Skrzypczak L. Prevalence and selected risk factors of suicidal ideation, suicidal tendencies and suicide attempts in young people aged 13-19 years. Ann Agric Environ Med. (2019) 26:329–36. doi: 10.26444/aaem/93817

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Smith L, Shin JI, Carmichael C, Oh H, Jacob L, López Sánchez GF, et al. Prevalence and correlates of multiple suicide attempts among adolescents aged 12-15 years from 61 countries in Africa, Asia, and the Americas. J Psychiatr Res. (2021) 144:45–53. doi: 10.1016/j.jpsychires.2021.09.047

PubMed Abstract | CrossRef Full Text | Google Scholar

11. McGillivray L, Shand F, Calear AL, Batterham PJ, Chen NA, Rheinberger D, et al. Profiles of passive and active suicidal ideation and attempts among secondary school students in Australia: A cross-sectional analysis. Arch suicide research: Off J Int Acad Suicide Res. (2022) 26:1880–94. doi: 10.1080/13811118.2021.1945983

CrossRef Full Text | Google Scholar

12. Shen X, Wang J. More than the aggregation of its components: Unveiling the associations between anxiety, depression, and suicidal behavior in adolescents from a network perspective. J Affect Disord. (2023) 326:66–72. doi: 10.1016/j.jad.2023.01.081

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Fountoulakis KN, Karakatsoulis GN, Abraham S, Adorjan K, Ahmed HU, Alarcon RD, et al. The effect of different degrees of lockdown and self-identified gender on anxiety, depression and suicidality during the COVID-19 pandemic: Data from the international COMET-G study. Psychiatry Res. (2022) 315:114702. doi: 10.1016/j.psychres.2022.114702

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Jiao T, Guo S, Zhang Y, Li Y, Xie X, Ma Y, et al. Associations of depressive and anxiety symptoms with non-suicidal self-injury and suicidal attempt among Chinese adolescents: The mediation role of sleep quality. Front Psychiatry. (2022) 13:1018525. doi: 10.3389/fpsyt.2022.1018525

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Busby Grant J, Batterham PJ, McCallum SM, Werner-Seidler A, Calear AL. Specific anxiety and depression symptoms are risk factors for the onset of suicidal ideation and suicide attempts in youth. J Affect Disord. (2023) 327:299–305. doi: 10.1016/j.jad.2023.02.024

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Guedria-Tekari A, Missaoui S, Kalai W, Gaddour N, Gaha L. Suicidal ideation and suicide attempts among Tunisian adolescents: prevalence and associated factors. Pan Afr Med J. (2019) 34:105. doi: 10.11604/pamj.2019.34.105.19920

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Hesketh T, Ding QJ, Jenkins R. Suicide ideation in Chinese adolescents. Soc Psychiatry Psychiatr Epidemiol. (2002) 37:230–5. doi: 10.1007/s00127-002-0536-9

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Zheng Y, Wang J, Jiang Q, Liao M, Huang F. Non-suicidal self-injury and suicidal ideation among adolescents: the chain-mediating role of rumination and decentering. Front Psychiatry. (2023) 14:1179518. doi: 10.3389/fpsyt.2023.1179518

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Zhao J, Wang Y. Harsh parenting and suicide ideation among Chinese adolescents: the roles of self-esteem and school social support. BMC Psychiatry. (2023) 23:609. doi: 10.1186/s12888-023-05108-w

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Xiang Y, Dong X, Zhao J. Effects of envy on depression: the mediating roles of psychological resilience and social support. Psychiatry Invest. (2020) 17:547–55. doi: 10.30773/pi.2019.0266

CrossRef Full Text | Google Scholar

21. Nakano M, Yamazaki C, Teshirogi H, Kubo H, Ogawa Y, Kameo S, et al. How Worries about Interpersonal Relationships, Academic Performance, Family Support, and Classmate Social Capital Influence Suicidal Ideation among Adolescents in Japan. Tohoku J Exp Med. (2022) 256:73–84. doi: 10.1620/tjem.256.73

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Magalhaes P, Aboagye RG, Ahinkorah BO, Seidu A-A, Okyere J, Frimpong JB, et al. In-school adolescents’ loneliness, social support, and suicidal ideation in sub-Saharan Africa: Leveraging Global School Health data to advance mental health focus in the region. PloS One. (2022) 17. doi: 10.1371/journal.pone.0275660

CrossRef Full Text | Google Scholar

23. Wan LP, Yang XF, Liu BP, Zhang YY, Liu XC, Jia CX, et al. Depressive symptoms as a mediator between perceived social support and suicidal ideation among Chinese adolescents. J Affect Disord. (2022) 302:234–40. doi: 10.1016/j.jad.2022.01.061

PubMed Abstract | CrossRef Full Text | Google Scholar

24. López R, Defayette AB, Whitmyre ED, Williams CA, Esposito-Smythers C. Posttraumatic stress disorder symptom clusters, suicidal ideation, and social support in a clinical adolescent sample. Death Stud. (2020) 46:1814–22. doi: 10.1080/07481187.2020.1852629

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Alvarez-Subiela X, Castellano-Tejedor C, Villar-Cabeza F, Vila-Grifoll M, Palao-Vidal D. Family factors related to suicidal behavior in adolescents. Int J Environ Res Public Health. (2022) 19. doi: 10.3390/ijerph19169892

CrossRef Full Text | Google Scholar

26. Marthoenis, Dahlia, Nassimbwa J. Prevalence and factors associated with loneliness among Indonesian female adolescents: a cross-sectional study. BMC Womens Health. (2022) 22:328. doi: 10.1186/s12905-022-01909-5

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Internal Med. (2001) 16:606–13. doi: 10.1046/j.1525-1497.2001.016009606.x

CrossRef Full Text | Google Scholar

28. Tordoff DM, Wanta JW, Collin A, Stepney C, Inwards-Breland DJ, Ahrens K. Mental health outcomes in transgender and nonbinary youths receiving gender-affirming care. JAMA network Open. (2022) 5:e220978. doi: 10.1001/jamanetworkopen.2022.0978

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Kim S, Lee HK, Lee K. Which PHQ-9 items can effectively screen for suicide? Machine learning approaches. Int J Environ Res Public Health. (2021) 18. doi: 10.3390/ijerph18073339

CrossRef Full Text | Google Scholar

30. Holcomb JM, Dutta A, Bergmann P, Riobueno-Naylor A, Haile H, Benheim TS, et al. Suicidal ideation in adolescents: understanding results from screening with the PHQ-9M and the PSC-17P. J Dev Behav pediatrics: JDBP. (2022) 43:346–52. doi: 10.1097/DBP.0000000000001063

CrossRef Full Text | Google Scholar

31. Levis B, Sun Y, He C, Wu Y, Krishnan A, Bhandari PM, et al. Accuracy of the PHQ-2 alone and in combination with the PHQ-9 for screening to detect major depression: systematic review and meta-analysis. Jama. (2020) 323:2290–300. doi: 10.1001/jama.2020.6504

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Liang K, Chen S, Zhao Y, Ren Y, Ren Z, Chi X. A new PHQ-2 for Chinese adolescents: identifying core items of the PHQ-9 by network analysis. Child Adolesc Psychiatry Ment Health. (2023) 17:11. doi: 10.1186/s13034-023-00559-1

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Li K, Zhan X, Ren L, Liu N, Zhang L, Li L, et al. The association of abuse and depression with suicidal ideation in chinese adolescents: A network analysis. Front Psychiatry. (2022) 13:853951. doi: 10.3389/fpsyt.2022.853951

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Mossman SA, Luft MJ, Schroeder HK, Varney ST, Fleck DE, Barzman DH, et al. The Generalized Anxiety Disorder 7-item scale in adolescents with generalized anxiety disorder: Signal detection and validation. Ann Clin Psychiatry. (2017) 29:227–234a.

PubMed Abstract | Google Scholar

35. Gong Y, Zhou H, Zhang Y, Zhu X, Wang X, Shen B, et al. Validation of the 7-item Generalized Anxiety Disorder scale (GAD-7) as a screening tool for anxiety among pregnant Chinese women. J Affect Disord. (2021) 282:98–103. doi: 10.1016/j.jad.2020.12.129

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Spitzer RL, Kroenke K, Williams JB, Löwe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Internal Med. (2006) 166:1092–7. doi: 10.1001/archinte.166.10.1092

CrossRef Full Text | Google Scholar

37. Casares M, Díez-Gómez A, Pérez-Albéniz A, Lucas-Molina B, Fonseca-Pedrero E. Screening for anxiety in adolescents: Validation of the Generalized Anxiety Disorder Assessment-7 in a representative sample of adolescents. J Affect Disord. (2024) 354:331–8. doi: 10.1016/j.jad.2024.03.047

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Li L, Liu X, Wang P, Qu M, Xiu M. Correlations of religious beliefs with anxiety and depression of Chinese adolescents. Front Psychiatry. (2024) 15:1354922. doi: 10.3389/fpsyt.2024.1354922

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Yang H, Pan Y, Chen W, Yang X, Liu B, Yuan N, et al. Prevalence of and relevant factors for depression and anxiety symptoms among pregnant women on the eastern seaboard of China in the post-COVID-19 era: a cross-sectional study. BMC Psychiatry. (2023) 23:564. doi: 10.1186/s12888-023-05059-2

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Zimet GD, Powell SS, Farley GK, Werkman S, Berkoff KA. Psychometric characteristics of the multidimensional scale of perceived social support. J Pers Assess. (1990) 55:610–7. doi: 10.1080/00223891.1990.9674095

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Huang ZH, Hou CL, Huang YH, He XY, Wang QW, Chen X, et al. Individuals at high risk for psychosis experience more childhood trauma, life events and social support deficit in comparison to healthy controls. Psychiatry Res. (2019) 273:296–302. doi: 10.1016/j.psychres.2019.01.060

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Zhu J, Qian R, Zhong H, Li Y, Liu X, Ma J. Factors influencing the addiction characteristics of non-suicidal self-injurious behaviors in adolescents: A case-control study. Front Psychiatry. (2022) 13:1033242. doi: 10.3389/fpsyt.2022.1033242

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Peng Z, Klomek AB, Li L, Su X, Sillanmaki L, Chudal R, et al. Associations between Chinese adolescents subjected to traditional and cyber bullying and suicidal ideation, self-harm and suicide attempts. BMC Psychiatry. (2019) 19:324. doi: 10.1186/s12888-019-2319-9

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Xiao Y, Cerel J, Mann JJ. Temporal trends in suicidal ideation and attempts among US adolescents by sex and race/ethnicity, 1991-2019. JAMA network Open. (2021) 4:e2113513. doi: 10.1001/jamanetworkopen.2021.13513

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Lim K-S, Wong CH, McIntyre RS, Wang J, Zhang Z, Tran BX, et al. Global lifetime and 12-month prevalence of suicidal behavior, deliberate self-harm and non-suicidal self-injury in children and adolescents between 1989 and 2018: A meta-analysis. Int J Environ Res Public Health. (2019) 16. doi: 10.3390/ijerph16224581

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Oliveira JMD, Butini L, Pauletto P, Lehmkuhl KM, Stefani CM, Bolan M, et 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

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Undheim AM, Sund AM. Involvement in bullying as predictor of suicidal ideation among 12- to 15-year-old Norwegian adolescents. Eur Child Adolesc Psychiatry. (2013) 22:357–65. doi: 10.1007/s00787-012-0373-7

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Bracic M, Roskar S, Zager Kocjan G, Jericek Klanscek H. The prevalence and predictors of suicidal ideation among slovene adolescents. Community Ment Health J. (2019) 55:1210–7. doi: 10.1007/s10597-019-00398-5

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Florez IA, Au J, Morrisette N, Lamis DA. Risk factors for suicide attempts among rural youth with a history of suicidal ideation. Death Stud. (2022) 46:773–9. doi: 10.1080/07481187.2019.1701147

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Ho TC, Gifuni AJ, Gotlib IH. Psychobiological risk factors for suicidal thoughts and behaviors in adolescence: a consideration of the role of puberty. Mol Psychiatry. (2022) 27:606–23. doi: 10.1038/s41380-021-01171-5

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Giletta M, Calhoun CD, Hastings PD, Rudolph KD, Nock MK, Prinstein MJ. Multi-level risk factors for suicidal ideation among at-risk adolescent females: the role of hypothalamic-pituitary-adrenal axis responses to stress. J Abnorm Child Psychol. (2015) 43:807–20. doi: 10.1007/s10802-014-9897-2

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Leigh E, Chiu K, Ballard ED. Social anxiety and suicidality in youth: A systematic review and meta-analysis. Res Child Adolesc Psychopathol. (2023) 51:441–54. doi: 10.1007/s10802-022-00996-0

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Mahumud RA, Dawson AJ, Chen W, Biswas T, Keramat SA, Morton RL, et 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

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Barzilay R, White LK, Moore TM, Calkins ME, Taylor JH, Patrick A, et al. Association of anxiety phenotypes with risk of depression and suicidal ideation in community youth. Depress Anxiety. (2020) 37:851–61. doi: 10.1002/da.23060

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Primananda M, Keliat BA. Risk and protective factors of suicidal ideation in adolescents. Compr Child Adolesc Nurs. (2019) 42:179–88. doi: 10.1080/24694193.2019.1578439

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Tan L, Xia T, Reece C. Social and individual risk factors for suicide ideation among Chinese children and adolescents: A multilevel analysis. Int J Psychol. (2018) 53:117–25. doi: 10.1002/ijop.12273

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Rogers AM, Youssef GJ, Teague S, Sunderland M, Le Bas G, Macdonald JA, et al. Association of maternal and paternal perinatal depression and anxiety with infant development: A longitudinal study. J Affect Disord. (2023) 338:278–88. doi: 10.1016/j.jad.2023.06.020

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Sanger C, Iles JE, Andrew CS, Ramchandani PG. Associations between postnatal maternal depression and psychological outcomes in adolescent offspring: a systematic review. Arch Womens Ment Health. (2015) 18:147–62. doi: 10.1007/s00737-014-0463-2

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Lew D, Xian H, Loux T, Shacham E, Scharff D. The longitudinal impact of maternal depression and neighborhood social context on adolescent mental health. Front Pediatr. (2022) 10:854418. doi: 10.3389/fped.2022.854418

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Pearson RM, Campbell A, Howard LM, Bornstein MH, O’Mahen H, Mars B, et al. Impact of dysfunctional maternal personality traits on risk of offspring depression, anxiety and self-harm at age 18 years: a population-based longitudinal study. Psychol Med. (2018) 48:50–60. doi: 10.1017/S0033291717001246

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Sultana M, Gow J, Mosharaf P, Rahman H, Koly KN, Rahman MA, et al. Parental role and peer support in adolescent suicidal behavior in eight South-East Asian countries. J Affect Disord. (2023) 332:221–30. doi: 10.1016/j.jad.2023.03.092

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Lee D, Jung S, Park S, Hong HJ. The impact of psychological problems and adverse life events on suicidal ideation among adolescents using nationwide data of a school-based mental health screening test in Korea. Eur Child Adolesc Psychiatry. (2018) 27:1361–72. doi: 10.1007/s00787-018-1130-3

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Leung CL, Kwok SY, Ling CC. An integrated model of suicidal ideation in transcultural populations of chinese adolescents. Community Ment Health J. (2016) 52:574–81. doi: 10.1007/s10597-015-9920-2

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Bozzini AB, Bauer A, Maruyama J, Simoes R, Matijasevich A. Factors associated with risk behaviors in adolescence: a systematic review. Braz J Psychiatry. (2021) 43:210–21. doi: 10.1590/1516-4446-2019-0835

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Shao C, Wang X, Ma Q, Zhao Y, Yun X. Analysis of risk factors of non-suicidal self-harm behavior in adolescents with depression. Ann palliative Med. (2021) 10:9607–13. doi: 10.21037/apm-21-1951

CrossRef Full Text | Google Scholar

66. Guo Y, Zhang J, Cui Y, Cui Y, Huang X, Guo Y, et al. Psychosocial predictors of persistent suicidal ideation among Chinese adolescents: A longitudinal study. J Affect Disord. (2023) 334:137–44. doi: 10.1016/j.jad.2023.04.090

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Miao H, Lu H, Sun Y, Ji J, Lu Y, Meng Y, et al. The protective influence of family support on anxiety, depressive symptoms, and suicidal ideation among elderly Chinese nursing home residents: A study of serial mediation. Med (Baltimore). (2024) 103:e36930. doi: 10.1097/MD.0000000000036930

CrossRef Full Text | Google Scholar

68. Xu Z, Gahr M, Xiang Y, Kingdon D, Rüsch N, Wang G. The state of mental health care in China. Asian J Psychiatry. (2022) 69. doi: 10.1016/j.ajp.2021.102975

CrossRef Full Text | Google Scholar

Keywords: suicidal ideation, mediator, GAD-7, PSSS, adolescents

Citation: Bao X, Guo T, Xu L, Chen W, Luan L, Yang H and Zhang X (2024) Suicidal ideation in Chinese adolescents: prevalence, risk factors, and partial mediation by family support, a cross-sectional study. Front. Psychiatry 15:1427560. doi: 10.3389/fpsyt.2024.1427560

Received: 04 May 2024; Accepted: 15 July 2024;
Published: 02 August 2024.

Edited by:

Eduardo Fernández-Jiménez, Hospital Infantil La Paz, Spain

Reviewed by:

Rika Sarfika, Andalas University, Indonesia
Ivan Antonio Garcia-Montalvo, National Institute of Technology of Mexico, Mexico
Fuquan Zhang, Nanjing Medical University, China

Copyright © 2024 Bao, Guo, Xu, Chen, Luan, Yang and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Haidong Yang, yanghaidonglyg@163.com; Xiaobin Zhang, zhangxiaobim@163.com

These authors have contributed equally to this work and share first authorship

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.