[Objective]To investigate the effect of surgical treatment of scapular fractures through posterior approach.[Method]From May 2000 to November 2007,14 patients(10 females,4 males;mean age 34.6 years)with scapular fractures were treated by open reduction and internal fixation through a posterior approach.Eight patients were injurred in traffic accidents,3 due to falling,2 by direct violence and 1 due to cut.There were eleven patients with close fractures and 3 with open fractures.According to Hardegger classification system,there were 8 cases of scapular body fracture,9 of scapular spine fracture,6 of scapular acromion,10 of scapular neck fracture,6 of glenoid rim fracture and 4 of glenoid fossa fracture.[Result]Fourteen patients were followed up,with a mean follow up time of 18 months.According to Rowe score system,10 patients showed an excellent result,2 showed a good result,the other two showed a fair result.[Conclusion]The posterior approach for fixing scapular fractures has advantages of wide exposure,safety,easy operation,and reliable effect.It is a choice of operation for most types of scapular fractures,especially for scapular body fracture,spina scapular fracture and scapular multiposition fracture.

Objective To explore Chongqing migrant workers Suiqian children′s mental health status and related factors .Meth-ods In this study 740 children from grade 7 to grade 9 in 3 schools which specify recruit migrant workers′children ,including the 399 migration children of migrant workers and 341 urban household registration students were involved .They were investigated with symptom rating scale(SCL-90) and self-made general questionnaire .Results There were no significant differences in SCL-90 scores between the migrant workers migration children group and urban household registration students group (P>0 .05) .Conclu-sion Generally speaking ,Chongqing migrant workers Suiqian children′s mental health status is good ,but there are still some prob-lems .We need do some further study on the mode of psychological intervention to maintain their physical and mental health .

Objective To construct a predictive model for the risk of non-suicidal self-injury(NSSI)in young and middle-aged patients with major depressive disorder based on the decision tree algorithm.Methods Young and middle-aged patients with major depressive disorder admitted to the Chongqing Mental Health Center from January 2021 to June 2023 were selected as the research subjects and their clinical data were collected.According to whether NSSI occurred or not,the patients were divided into the NSSI group(n=72)and the non-NSSI group(n=82).Univariate and multivariate logistic regression analyses were used to analyze the risk factors of NSSI in young and middle-aged patients with major depressive disorder.A deci-sion tree predictive model was established based on the results of logistic regression analysis and the Chi-square Automatic Interaction Detection(CHAID)algorithm.The predictive value of the model was evaluated using Receiver Operating Characteristic(ROC)curve.Results The incidence of NSSI in 154 young and mid-dle-aged patients with major depressive disorder was 46.8％.The results of single-factor analysis showed that there were no statistically significant differences(P＞0.05)in gender,age,education level,occupation,family composition,only child status,relationship status,fertility status,main place of residence,family economic source,and housing conditions between the two groups.Statistically significant differences(P＜0.05)were observed in living conditions,family economic status,duration of depression,SSRS score,PSS-Fa score,and DS score between the two groups.Multi-factor logistic regression analysis showed that lower family economic lev-el,longer duration of depression,SSRS score＜20 points,PSS-Fa score＜6 points,and DS score ≥47.2 points were independent risk factors for NSSI in young and middle-aged patients with major depressive disorder(P＜0.05).The constructed decision tree model had five layers and ten nodes,with family economic situation,duration of depression,SSRS score,and PSS-Fa score selected as the nodes of the model,among which the PSS-Fa score was the most important predictive factor.ROC curve analysis showed that the AUC of the model was 0.881(95％CI:0.844-0.918).Conclusion There are many influencing factors for the occurrence of NSSI in young and middle-aged patients with major depressive disorder.The decision tree model constructed based on these factors has a high predictive value for the risk of NSSI in young and middle-aged patients with major depressive disorder.