More than the aggregation of its components: Unveiling the associations between anxiety, depression, and suicidal behavior in adolescents from a network perspective

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

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.

Depression, anxiety and suicidality among Chinese mental health professionals immediately after China's dynamic zero-COVID policy: A network perspective

BACKGROUND

Using network analysis, the interactions between mental health problems at the symptom level can be explored in depth. This study examined the network structure of depressive and anxiety symptoms and suicidality among mental health professionals after the end of China's Dynamic Zero-COVID Policy.

METHODS

A total of 10,647 mental health professionals were recruited nationwide from January to February 2023. Depression and anxiety were assessed using the 9-item Patient Health Questionnaire (PHQ-9) and 7-item Generalized Anxiety Disorder Scale (GAD-7), respectively, while suicidality was defined by a 'yes' response to any of the standard questions regarding suicidal ideation (SI), suicide plan (SP) and suicide attempt (SA). Expected Influence (EI) and Bridge Expected Influence (bEI) were used as centrality indices in the symptom network to characterize the structure of the symptoms.

RESULTS

The prevalence of depression, anxiety, and suicidality were 45.99 %, 28.40 %, and 7.71 %, respectively. The network analysis identified GAD5 ("Restlessness") as the most central symptom, followed by PHQ4 ("Fatigue") and GAD7 ("Feeling afraid"). Additionally, PHQ6 ("Guilt"), GAD5 ("Restlessness"), and PHQ8 ("Motor disturbance") were bridge nodes linking depressive and anxiety symptoms with suicidality. The flow network indicated that the strongest connections of S ("Suicidality") was with PHQ6 ("Guilt"), GAD7 ("Feeling afraid"), and PHQ2 ("Sad mood").

CONCLUSIONS

Depression, anxiety, and suicidality among mental health professionals were highly prevalent after China's Dynamic Zero-COVID Policy ended. Effective measures should target central and bridge symptoms identified in this network model to address the mental health problems in those at-risk.