Objective To develop a military cross-cultural symptom scale(MCCSS)and evaluate its reliability and validity.Methods The dimensions and items of the scale were determined through literature analysis,questionnaire surveys,group discussions,expert consultations,and pre-experiments.Cluster sampling was employed to collect data from the participants to examine the psychometric properties of the scale.Results The MCCSS comprised 38 items across 9 factors:depression,anxiety,somatic symptoms,misanthropic tendency,sleep problems,compulsions,psychotic symptoms,stress trauma,and defensiveness.Item analysis revealed that the 37 items(except 1 forced-choice item)exhibited correlations from 0.538 to 0.875 with the total scale score(all P＜0.01),with critical ratios ranging from 5.190 to 28.149,indicating good discriminative power.The Cronbach's α coefficients for the total scale and subscales ranged from 0.825 to 0.972,and the Spearman-Brown split-half reliability coefficients ranged from 0.747 to 0.955.The results of confirmatory factor analysis showed that x2/df=3.419,standardized root mean square residual=0.033,root mean square error of approximation=0.073,normed fit index=0.868,incremental fit index=0.903,Tucker-Lewis index=0.887,comparative fit index=0.902,and the scale's first-order 9-factor model fit well.The loads of each item on the factor to which it belonged ranged from 0.597 to 0.954(all P＜0.01).The correlation coefficients between the scale and the scale for criterion-related validity ranged from 0.392 to 0.773(all P＜0.01),and the correlation coefficients between the scale and the scale for convergent validity ranged from 0.257 to 0.519(all P＜0.01).Conclusion The MCCSS in this study has good reliability and validity and can be used as a mental health testing and screening tool for military personnel.

Objective To investigate the mental health and influencing factors of naval officers and soldiers,and provide data support for formulating effective psychological intervention measures.Methods The 12-item general health questionnaire(GHQ-12)was used to conduct a sample survey among 5 336 naval officers and soldiers from October to November 2021.SPSS 26.0 software,chi-square test and regression analysis were used for descriptive statistics.Results A total of 5 102(95.61%)valid questionnaires were collected.The average GHQ-12 score was 0.55±1.18,and the proportion of high-risk individuals for mental health was 3.06%.Chi-square test showed that there were significant differences in the distribution of mental health status among interviewees with different ages,education levels,marriage status,family economy,family relationship,growing family,history of mental diseases among close relatives,major changes encountered during growth,hobbies and specialties,recent work pressure and recent interpersonal relationship(P≤0.001).Regression analysis showed that age(P=0.006),family relationship(P<0.001),family economy(P=0.010),major changes encountered during growth(P<0.001),recent work stress(P<0.001)and recent interpersonal relationship(P<0.001)were main influencing factors for mental health of naval officers and soldiers.Conclusion The mental health of naval officers and soldiers was generally good,but some individuals still have mental health problems,which are affected by many factors.It is necessary to pay more attention to the mental health problems caused by their age,education,family,growth experience,stress and interpersonal relationship.

Non-suicidal self-injury(NSSI) is defined as deliberate " destruction to body issue without conscious suicidal intent" and which is not culturally and socially sanctioned.The evaluation of NSSI mainly includes explicit measurement and implicit measurement.In recent years, implicit measurement has received wide attention from scholars, among which the implicit association task(IAT), as a tool to measure the relative attitude towards objects in individuals' implicit cognition and to prevent the interference of consciousness, which is an effective method to evaluate NSSI.On the basis of introducing the background of implicit attitude, this paper summarized the research progress of implicit attitude in distinguishing and predicting NSSI from behavioral and neuroimaging perspectives.Firstly, compared with the group without NSSI history, the NSSI group had a more recognized implicit attitude towards NSSI, which was correlated with the frequency and severity of NSSI.Secondly, compared with other known traditional predictors, whether implicit attitude is a better predictor of subsequent behavior of NSSI remains controversial.Finally, there are not many studies on the biological basis of implicit attitude towards NSSI in NSSI populations.Preliminary results suggest that the activation of salience networks and the reduction of gray matter volume in some brain regions (such as the dorsal striatum) may be related to implicit attitude in NSSI populations.To sum up, measuring implicit attitudes towards NSSI is useful for screening and predicting people at risk for NSSI, especially when individuals have false reports or low self-awareness.In addition, this paper also put out some shortcomings for future research and clinical intervention.