Published online Oct 19, 2026. doi: 10.5498/wjp.122815
Revised: July 16, 2026
Accepted: August 10, 2026
Published online: October 19, 2026
Processing time: 165 Days and 1.8 Hours
Autonomic nervous system imbalance can mediate an individual’s physiological response to psychological stress and play a role in the progression of depression; conversely, social factors such as academic stress and family environment may serve as key external risk factors for adolescent depression. To investigate the symptoms and autonomic nervous function characteristics of adolescents with depressive disorders and the correlation with sociologic data.
To explore the associations of autonomic function and psychosocial factors with adolescent depressive severity and determine the independent predictors.
Adolescents with DDs who were treated at Wutaishan Hospital from November 2025 to March 2026 were enrolled and classified into four groups based on depressive symptoms: Normal group (59 cases); mild depression group (87 cases); moderate depression group (78 cases); and severe depression group (45 cases). Autonomic nervous function characteristics were assessed using a heart rate variability monitor, while psychological status was evaluated with the Zung Self-rating Anxiety Scale (SAS) and the Zung Self-rating Depression Scale.
Among the 269 adolescents with DDs, significant statistical differences existed in gender, treatment status, place of residence, payment method, per capita monthly household income, caregivers, family relationships, adverse experiences, body mass index, SAS scores, autonomic nervous function [low-frequency (LF):high-frequency (HF) ratio], and disease duration (all P values < 0.05). The independent risk factors included place of residence [odds ratio (OR) = 2.18], payment method (OR = 4.42), per capita monthly household income (OR = 0.32), presence of caregivers (OR = 3.81), family relationships (OR = 2.12), adverse experiences (OR = 2.81), SAS scores (OR = 4.17), and LF:HF ratio (OR = 1.94) with per capita monthly household income having a protective effect.
These findings suggest that clinical practice should integrate the LF:HF ratio with psychosocial factors to achieve early identification, disease stratification, and targeted intervention for adolescent DDs.
Core Tip: Adolescent depressive disorder (DDs) severity is independently correlated with the low-frequency (LF):high-frequency (HF) ratio (reflecting autonomic nervous imbalance), anxiety symptoms, and various socio-familial factors. Per capita monthly household income is a protective factor. Integrating the LF:HF ratio with psychosocial factors can facilitate early identification, severity stratification, and precise intervention for adolescent DDs.