Objective:To explore the internal mechanism by which self-evaluation influences non-suicidal self-injury (NSSI) in adolescent patients with depressive disorder.Methods:Clinical data from 214 adolescent patients with depressive disorder hospitalized at Suzhou Guangji Hospital from March 2022 to January 2024 were prospectively collected. According to the DSM-5 diagnostic criteria for NSSI, participants were divided into an NSSI group (158 cases [38 males, 120 females, age 12-17 (14.2±1.5) years]) and a non-NSSI group (56 cases [20 males, 36 females, age 12-18 (14.5±1.8) years]). A self-developed basic information questionnaire was used to collect demographic data. Standardized tools including the Self-rating Depression Scale (SDS), Inventory of Parent and Peer Attachment (IPPA), Self-acceptance Questionnaire (SAQ), and Perceived Stress Scale-10 (PSS-10) were used to assess their depression level, parental attachment level, self-evaluation/acceptance level, perceived stress level, and other relevant psychological characteristics. Differences in psychological characteristics between the two groups were compared. Logistic regression, correlation analysis, and mediation effect models were used to explore the relationships between variables and NSSI and their mechanisms.Results:The NSSI group had significantly higher total scores on the SDS (41.3±7.7 vs. 34.4±9.3) and PSS-10 (25.5±6.1 vs. 21.3±6.5) than the non-NSSI group ( F=29.12, F=18.17, respectively; all P<0.001). Conversely, the NSSI group had significantly lower total scores on the SAQ (31.2±8.8 vs. 35.9±8.9) and IPPA (56.3±13.6 vs. 63.4±13.8) compared to the non-NSSI group ( F=11.24, F=10.84, respectively; all P<0.001). Stepwise logistic regression analysis identified depression level (SDS total score, OR=1.12, 95% CI: 1.05-1.19), self-evaluation (SAQ subscale score, OR=1.17, 95% CI: 1.04-1.31), and perceived stress (PSS-10 total score, OR=1.11, 95% CI: 1.01-1.22) as predictors of NSSI (all P<0.05). Chain mediation analysis showed that self-evaluation had a significant positive direct effect ( β=0.025, P<0.01) and a negative indirect effect ( β=-0.038, P<0.001) on NSSI, with a negative total effect ( β=-0.012, P<0.05). The indirect effect was realized through three pathways: a single mediation pathway of self-evaluation via perceived stress ( β=-0.016), a single mediation pathway of self-evaluation via depression ( β=-0.011), and a chain mediation pathway of self-evaluation via perceived stress and depression ( β=-0.011) (all P<0.05). Conclusion:Self-evaluation influences NSSI behavior through a dual mechanism involving both direct and indirect effects. The indirect protective effect is primarily achieved by reducing perceived stress and depression levels.

Objective:To explore the internal mechanism by which self-evaluation influences non-suicidal self-injury (NSSI) in adolescent patients with depressive disorder.Methods:Clinical data from 214 adolescent patients with depressive disorder hospitalized at Suzhou Guangji Hospital from March 2022 to January 2024 were prospectively collected. According to the DSM-5 diagnostic criteria for NSSI, participants were divided into an NSSI group (158 cases [38 males, 120 females, age 12-17 (14.2±1.5) years]) and a non-NSSI group (56 cases [20 males, 36 females, age 12-18 (14.5±1.8) years]). A self-developed basic information questionnaire was used to collect demographic data. Standardized tools including the Self-rating Depression Scale (SDS), Inventory of Parent and Peer Attachment (IPPA), Self-acceptance Questionnaire (SAQ), and Perceived Stress Scale-10 (PSS-10) were used to assess their depression level, parental attachment level, self-evaluation/acceptance level, perceived stress level, and other relevant psychological characteristics. Differences in psychological characteristics between the two groups were compared. Logistic regression, correlation analysis, and mediation effect models were used to explore the relationships between variables and NSSI and their mechanisms.Results:The NSSI group had significantly higher total scores on the SDS (41.3±7.7 vs. 34.4±9.3) and PSS-10 (25.5±6.1 vs. 21.3±6.5) than the non-NSSI group ( F=29.12, F=18.17, respectively; all P<0.001). Conversely, the NSSI group had significantly lower total scores on the SAQ (31.2±8.8 vs. 35.9±8.9) and IPPA (56.3±13.6 vs. 63.4±13.8) compared to the non-NSSI group ( F=11.24, F=10.84, respectively; all P<0.001). Stepwise logistic regression analysis identified depression level (SDS total score, OR=1.12, 95% CI: 1.05-1.19), self-evaluation (SAQ subscale score, OR=1.17, 95% CI: 1.04-1.31), and perceived stress (PSS-10 total score, OR=1.11, 95% CI: 1.01-1.22) as predictors of NSSI (all P<0.05). Chain mediation analysis showed that self-evaluation had a significant positive direct effect ( β=0.025, P<0.01) and a negative indirect effect ( β=-0.038, P<0.001) on NSSI, with a negative total effect ( β=-0.012, P<0.05). The indirect effect was realized through three pathways: a single mediation pathway of self-evaluation via perceived stress ( β=-0.016), a single mediation pathway of self-evaluation via depression ( β=-0.011), and a chain mediation pathway of self-evaluation via perceived stress and depression ( β=-0.011) (all P<0.05). Conclusion:Self-evaluation influences NSSI behavior through a dual mechanism involving both direct and indirect effects. The indirect protective effect is primarily achieved by reducing perceived stress and depression levels.

Objective To investigate the value of ankylosing spondylitis(AS)disease activity score (ASDAS)and the Bath AS disease activity index(BASDAI)in evaluating disease activity in AS.Methods ASDAS and BASDAI were used to evaluate disease activity in patients with AS,taking the patients' global scores,physician global scores and treatment decision as the “gold standard” for disease activity.According to the “gold standard”,the patients were divided into low and high disease activity groups.Statistical analysis included descriptive statistics,linear correlation and regression and ROC curve.Results A total of 227 patients with AS were included.ASDAS and BASDAI showed good correlation with disease activity as reflected by the patients' global score[r for BASDAI,ASDAS based on ESR(ASDAS-ESR)and ASDAS based on C-reactive protein(ASDAS-CRP)were 0.713,0.698 and 0.725,respectively,P =0.000]and the physician global score(r for BASDAI,ASDAS-ESR and ASDAS-CRP were 0.771,0.782,0.847,respectively,P =0.000).Both scores showed good discriminative ability for high and low disease activity states.ASDAS-CRP had the highest sensitivity.Conclusion ASDAS is a promising tool for evaluating disease activity in AS patients.