Introduction
Non-suicidal self-injury (NSSI) is highly prevalent among youth and carries substantial clinical significance [
1,
2], particularly in individuals with major depressive disorder (MDD) [
3,
4]. Epidemiological data indicate that approximately 30% to 60% of youth with MDD report engaging in NSSI [
5]. Those who self-injure exhibit markedly elevated risk for suicide and often develop repetitive or chronic self-harming behaviors, leading to significant functional impairment and placing a considerable burden on families and healthcare systems [
6,
7].
Mixed features, as defined in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), refer to the presence of subthreshold manic symptoms during a depressive episode that do not meet full criteria for mania or hypomania [
8‐
10]. Approximately 23.8% of individuals with depressive disorders meet criteria for mixed features [
11], and this subgroup has been consistently associated with increased risk of suicide attempts [
12]. Furthermore, previous studies have indicated that youth with mixed features often exhibit increased emotional arousal and poor impulse control, both of which have been consistently associated with NSSI [
13]. Elevated emotional arousal and impaired impulse control may contribute to NSSI by intensifying emotional distress and diminishing inhibitory capacity [
14,
15].
Despite these associations, few studies have systematically investigated the impact of mixed features on NSSI, particularly in youth populations. Moreover, there is a paucity of longitudinal data on the developmental trajectories of self-injurious behaviors in this group [
16,
17]. To address this gap, the present multicenter prospective study aimed to examine whether the presence of mixed features at baseline predicts the occurrence of NSSI within a six-month follow-up period. Elucidating this potential relationship may contribute to earlier identification of at-risk youth and inform the development of developmentally appropriate, targeted intervention strategies.
Methods
Participants were recruited from the South China Adolescent Depression Cohort, a multicenter prospective longitudinal study coordinated by the Affiliated Brain Hospital of Guangzhou Medical University in collaboration with multiple psychiatric institutions across South China. Recruitment took place between March 1, 2022, and March 31, 2024.
Eligible participants were aged 13–25 years, met DSM-5 criteria for major depressive disorder (MDD), and were currently experiencing a major depressive episode (MDE). Individuals were excluded if they had a prior diagnosis of schizophrenia, bipolar disorder, intellectual disability, or other severe psychiatric conditions, or if they exhibited cognitive or language impairments that interfered with assessment completion.
The study protocol was approved by the Ethics Committee of the Affiliated Brain Hospital of Guangzhou Medical University (Approval No. 2022-031), and written informed consent was obtained from all participants. For minors (< 18 years), consent was additionally obtained from a parent or legal guardian.
Measure
Baseline characteristics
Baseline data included sociodemographic variables (e.g., age, sex, and romantic relationship status), clinical variables (e.g., illness duration categorized as < 6 months, 6–24 months, or > 24 months; first vs. recurrent episode), physical comorbidity status (none, current, or past), and history of aggressive behavior (no aggression vs. current or past aggression). These variables were collected at baseline through structured clinical interviews and standardized self-report forms.
Assessment of mixed features
Mixed features were defined in accordance with the DSM-5-TR specifier for major depressive episodes, which requires the presence of at least three manic or hypomanic symptoms occurring nearly every day during the majority of days in a depressive episode, without meeting full criteria for a manic or hypomanic episode (American Psychiatric Association, 2022). Assessments were independently conducted by two senior psychiatrists with expertise in mood disorders, using clinical interviews, observational data, and collateral reports. Symptoms assessed included elevated or expansive mood, inflated self-esteem or grandiosity, increased talkativeness, flight of ideas, increased energy or goal-directed activity, involvement in risky activities, and decreased need for sleep. Diagnostic discrepancies were resolved through consensus discussion. Participants were subsequently categorized into groups with and without mixed features.
Assessment of NSSI
In the present study, NSSI was assessed using the Brief Non-Suicidal Self-Injury Assessment Tool (BNSSI-AT) [
18,
19], a validated instrument widely used to evaluate both primary and secondary forms of self-injurious behavior. This tool captures detailed information regarding the frequency, methods, functions, and anatomical sites of injury, thereby allowing for clear differentiation between NSSI and suicidal behavior.
Specifically, Items 1 and 2 were used to determine whether participants had ever engaged in self-injurious acts and to identify the specific methods involved. Item 3 addressed the underlying motivations for such behavior. If participants selected “as a way to attempt suicide” or “a suicide attempt” in Item 3, or responded affirmatively to Item 4 (“You mentioned deliberately hurting yourself to practice or attempt suicide. Was this the main reason for your self-injury?”), they were excluded from the NSSI group.
At baseline, participants were asked to report any prior history of NSSI. To monitor new and recurring self-injury, assessments were repeated at 1-, 3-, and 6-month follow-up points, using the same instrument. All follow-up evaluations were conducted remotely via WeChat, structured telephone interviews, or a secure digital platform. In line with best practices for clinical reliability, all assessments were conducted by psychiatrists who had received standardized training in the use of the BNSSI-AT.
Statistical analysis
Descriptive and group comparisons
All variables were treated as categorical. Continuous variables were handled as follows: age was dichotomized at the clinically meaningful cutoff of 18 years to improve interpretability, whereas illness duration was categorized into three groups: less than 6 months, 6 to 24 months, and more than 24 months. Based on the presence or absence of mixed features, participants were divided into two groups. Group comparisons of baseline characteristics were conducted using chi-square tests.
To further explore the association patterns among variables, Cramér’s V coefficients were calculated. Cramér’s V is an unbiased measure used to estimate effect sizes between categorical variables. Pairwise associations were visualized using a triangular correlation heatmap, which facilitated the identification of potential multicollinearity and the selection of appropriate covariates for multivariable modeling. This approach was intended to improve the robustness and explanatory power of the final models.
Missing data handling
Missing data patterns were evaluated using Little’s Missing Completely at Random (MCAR) test [
20,
21], which supported the assumption of data missing completely at random (
p >.05). To ensure reliable imputation, multiple imputation was restricted to participants who completed at least two of the three follow-up assessments. Individuals with missing data at all follow-up time points were excluded from the imputation process.
The imputation model included binary indicators of NSSI at 1-, 3-, and 6-month follow-ups, along with baseline covariates that may be related to missingness or outcomes, such as mixed features status, sex, episode type, history of aggression, lifetime self-harm, age, and illness duration.
Binary logistic regression was used to impute the categorical NSSI outcome variables. Multiple imputation by chained equations (MICE) was applied [
22], using five imputed datasets, with a maximum of 50 iterations and a fixed random seed to ensure reproducibility. Importantly, imputation was limited to binary outcome variables at fixed time points; survival times were not imputed, and no assumptions related to censoring were introduced in this process.
Modeling of NSSI outcomes
Time-to-event distributions and cumulative risk of NSSI were visualized using Kaplan–Meier survival curves and Nelson–Aalen cumulative hazard functions, based on the first imputed dataset. Group differences in survival distributions between participants with and without mixed features were assessed using the log-rank test [
23].
Cox proportional hazards models were used to estimate the effect of mixed features on the time to the first occurrence of NSSI during the follow-up period. This model evaluated the relative hazard of initial self-injury events associated with mixed features, while adjusting for potential confounding effects of baseline covariates. Considering that participants may engage in NSSI more than once during the follow-up period, Andersen–Gill (AG) models were employed to examine the risk of recurrent NSSI events. As an extension of the Cox model, the AG model allows for multiple event entries per individual, thereby providing a more comprehensive assessment of the dynamic risk of repeated self-injury [
24,
25]. The AG model accounts for within-subject correlation between events, thereby providing a more comprehensive assessment of the dynamic risk of repeated self-injury. Additionally, AG analyses were conducted using complete-case data to further validate the accuracy and robustness of the model estimates.
Both Cox and Andersen–Gill models included baseline covariates significantly associated with NSSI, including sex, age category, episode type, history of aggression, and lifetime NSSI. The proportional hazards assumption was tested using Schoenfeld residuals [
26]. For variables violating this assumption, stratified Cox models were applied to allow for non-proportional hazards across strata [
23,
27].
Extending the Andersen–Gill model framework, stratified analyses were performed to investigate the influence of mixed features on the risk of non-suicidal self-injury (NSSI) within distinct subgroups. In each model, baseline history of self-harm was included as a covariate alongside mixed features. Interaction terms between mixed features and stratification variables were incorporated to assess the statistical significance of effect modification across strata. To visually summarize these results, a forest plot was generated displaying the magnitude and confidence intervals of the effect of mixed features on NSSI risk within each subgroup.
Software and statistical thresholds
All analyses were conducted in R (version 4.4.2), and two-sided p-values less than 0.05 were considered statistically significant.
Discussion
This study utilized data from a large multicenter cohort in South China to systematically examine the predictive role of mixed features on the risk of recurrent NSSI among youth with depression. Findings demonstrated that mixed features were significantly associated with an increased risk of recurrent NSSI within a six-month follow-up period. This association remained robust across both multiple imputation and complete-case analyses. Stratified analyses further revealed that although mixed features consistently tended to elevate NSSI risk across subgroups, the association was particularly pronounced among individuals experiencing their first depressive episode and those with an illness duration of less than six months.
Although KM survival analysis indicated an earlier onset of NSSI among individuals with mixed features, this association did not reach statistical significance in Cox proportional hazards modeling, suggesting that mixed features may have limited independent prognostic value for incident NSSI. Notably, a prior history of NSSI emerged as the most robust predictor of new-onset NSSI during the follow-up period, underscoring the central importance of behavioral history in risk assessment [
28]. In contrast, mixed features were consistently and significantly associated with NSSI recurrence, with hazard ratios ranging from 1.35 to 1.58 across both multiple imputation and complete-case AG models. These findings raise the possibility that mixed features may play a causal role in the persistence and chronicity of self-injurious behaviors.
Our findings expand the current literature on mixed features by shifting the focus from bipolar disorder to depressive episodes. Prior research has primarily examined mixed features in relation to bipolar conversion [
29], treatment outcomes [
30], and functional impairment [
31,
32], with limited attention to their role in NSSI. While some studies have observed elevated NSSI risk among youth with manic or mixed symptoms, such findings have largely been confined to bipolar-spectrum conditions [
33]. The present study instead explores mixed features within the context of unipolar depressive episodes, specifically among adolescents and young adults. It is noteworthy that the detection rate of mixed features in our sample was considerably higher than that reported in previous DSM-5–based studies [
34]. This discrepancy may be attributable to the composition of the sample, as the majority of participants were adolescents or young adults—a population typically regarded as being at elevated risk for mixed features [
35]. With the progression of illness, some individuals within this group may subsequently convert to bipolar disorder, whereas others may evolve toward a relatively stable depressive disorder. By focusing on this population, which has hitherto received limited attention, the present study offers novel insights into the potential association between mixed features in depressive states and self-injurious behavior.
From a biological perspective, mixed features may reflect dysregulation within neurotransmitter systems, including dopamine and serotonin pathways, which are critically involved in affect regulation and impulse control [
36,
37]. Psychologically, mixed features are characterized by emotional instability, heightened impulsivity, and behavioral activation, which may impair individuals’ capacity for effective emotion regulation [
38,
39]. This dysregulation of emotional control may lead individuals to engage in NSSI as a maladaptive coping strategy aimed at alleviating negative affect. Indeed, emotional dysregulation has been identified as a core mechanism underlying NSSI, particularly among those with pronounced emotional instability [
40]. Behavioral theories further suggest that NSSI recurrence is often maintained through negative reinforcement mechanisms [
41,
42]. The behavioral activation inherent in mixed features may facilitate the use of NSSI as a means of immediate emotional relief, thereby perpetuating a maladaptive cycle that is resistant to disruption through conventional cognitive control processes [
43,
44].
Clinically, these findings underscore the need to expand the identification of mixed features beyond their role in bipolar risk stratification to include sustained monitoring for self-injurious behavior. Notably, the presence of mixed features in depressed adolescents appears to confer heightened vulnerability to persistent, rather than episodic, NSSI. This highlights the importance of targeting the mechanisms—such as heightened emotional reactivity, impulsivity, and behavioral activation—that may maintain self-injurious behaviors over time. Recent studies have increasingly emphasized the need for personalized interventions in individuals with mixed features [
45], given that standard treatments for unipolar depression may not adequately address this symptom profile [
46]. Mechanism-based approaches, including emotion regulation training, impulsivity management, and behavioral modulation strategies, may be particularly relevant. In light of the chronic nature of NSSI in this subgroup, clinical care should prioritize early identification and sustained, individualized treatment planning.
This study possesses several notable strengths. First, it involves a relatively large sample drawn from a multicenter, prospective cohort, with a specific focus on youth depression, thereby enhancing the clinical relevance and applicability of the findings to this high-risk population. Second, missing data were rigorously addressed through both multiple imputation and complete-case analyses, which improved the robustness and reliability of the results. Third, the study employed multiple statistical models to differentiate risks for both incident and recurrent NSSI, allowing for a more nuanced understanding of the role of mixed features across distinct stages of NSSI risk. Nevertheless, several limitations warrant consideration. First, although diagnoses in this study were based on DSM-5 criteria, the absence of structured clinical interviews such as the SCID may have reduced diagnostic precision. Attention-deficit/hyperactivity disorder (ADHD) was not systematically assessed. Prior research indicates that ADHD increases the likelihood of mixed features among individuals with depression [
47]. Undetected or mild ADHD therefore may have contributed to impulsivity or NSSI risk and introduced residual confounding. Other psychiatric comorbidities that are closely related to emotional dysregulation, including borderline personality disorder, eating disorders, and additional neurodevelopmental conditions, were also not formally evaluated because they were not included in the original study protocol. Although participants with severe impairments that prevented completion of the assessment were excluded, milder or undiagnosed comorbid conditions may have remained unrecognized. As a result, some residual confounding related to emotional dysregulation or unmeasured psychiatric conditions cannot be excluded. Second, childhood trauma and emotional dysregulation were not assessed in this cohort. Both constructs are strongly associated with NSSI, and the absence of these measures may have contributed additional residual confounding. Third, the six-month follow-up period may not be sufficient to capture the longer-term course of NSSI. Fourth, reliance on self-reported data for self-injurious behaviors introduces the possibility of recall bias. Fifth, several potentially important covariates, including medication use, psychological interventions, and family environment, were not assessed, which may limit the ability to fully account for factors influencing NSSI risk. Finally, the sample was recruited exclusively from South China. This geographic restriction may limit the generalizability of the findings to other regions or cultural contexts. Despite these limitations, the study provides novel longitudinal evidence regarding the contribution of mixed features to the persistence of self-injury in adolescents and young adults with depression.
In conclusion, while mixed features show limited predictive value for the initial onset of NSSI during follow-up, they demonstrate significant and independent prognostic relevance for NSSI recurrence. Importantly, this effect was consistent across different subgroups. These findings highlight the critical need to integrate mixed features into risk assessment and intervention strategies for self-injurious behaviors in adolescents and young adults with depression, especially among those exhibiting emotional instability and impulsivity. Future research should aim to extend follow-up periods, incorporate a wider array of clinical and environmental covariates, and elucidate the mediating mechanisms linking mixed features to NSSI, ultimately informing the development of personalized, mechanism-driven interventions.
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