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  1. Yuan L, Wang DF, Lew B, Osman A, Jia CX
    BMC Psychiatry, 2018 09 17;18(1):299.
    PMID: 30236111 DOI: 10.1186/s12888-018-1875-8
    BACKGROUND: This study was designed to assess the factor structure, internal consistency reliability, and preliminary psychometric properties of the Chinese version of the Future Disposition Inventory-24 (FDI-24) in a large sample of Chinese university students.

    METHODS: We translated the English version of the Future Disposition Inventory-24 (FDI-24) into Chinese and examined its factor structure, estimates of internal consistency reliability, and psychometric properties in a representative sample of university students. In particular, students (N = 2,074) from two universities in Shandong Province in China were identified using the multi-stage stratified sampling method. In addition to the FDI-24, we collected preliminary data using self-report instruments that included the Beck Hopelessness Scale (BHS) and a general sociodemographic information questionnaire.

    RESULTS: The results of the internal consistency reliability estimates were adequate regarding the scores on the three FDI-24 subscales: Cronbach's alpha = .89-.97, Omega total = .85-.96, Revelle's Omega total = .88-.96, the greatest lower bound (GLB) = .89-.96 and Coefficient H = .86-.94. Bivariate correlation analyses showed evidence for criterion and discriminant validity. The 3-factor oblique-Geomin-rotation solution accounted for 62.92% of the total variance in the exploratory factor analysis (EFA). The exploratory structural equation modeling (ESEM) result showed that the 3-factor model provided adequate fit statistics for the sample data: the robust comparative fit index (R-CFI) was .959, robust Tucker Lewis index (R-TLI) was .946 and robust root mean square error of approximation (R-RMSEA) was .090.

    CONCLUSION: The FDI-24 has a satisfactory factor structure, reliability estimates, and satisfactory evidence of concurrent validity estimates for students with different demographic and cultural backgrounds. The FDI-24 holds promise for use in future investigations with Chinese students.

  2. Liang J, Kõlves K, Lew B, de Leo D, Yuan L, Abu Talib M, et al.
    Front Psychiatry, 2020;11:129.
    PMID: 32231596 DOI: 10.3389/fpsyt.2020.00129
    Background and Objective: Suicide is a leading cause of death in young people. Suicidal thoughts and behaviors can be triggered by life and study stresses; therefore, it is important to understand the role of coping strategies. The current study analyzed the link between different coping strategies and suicidality in university students in China. Methods: A cross-sectional study of 2,074 undergraduate students from China used a stratified-clustered-random sampling method (response rate 94.4%). The Suicidal Behaviors Questionnaire-Revised Scale was used to identify suicidal risks, while the Brief COPE scale was used to measure different coping strategies. Univariate and multivariate logistic regression analyses were utilized to examine coping strategies and suicidality. Results: A negative association of some coping skills (active coping and positive reframing) with suicidality and a positive association of some other coping skills (self-distraction, substance abuse, behavioral disengagement, venting, and self-blame) with suicidality were observed after adjusting for sociodemographic and mental health variables. Conclusions: Training and supporting young people to identify and apply adaptive coping strategies to deal with life stress could help to reduce suicidal ideation and behavior.
  3. Lew B, Osman A, Chan CMH, Chen WS, Ibrahim N, Jia CX, et al.
    BMC Public Health, 2021 02 09;21(1):322.
    PMID: 33563254 DOI: 10.1186/s12889-021-10370-2
    BACKGROUND: There is a need to understand the psychological characteristics of suicide attempters to prevent future suicide attempts. This study aims to examine potential differences between individuals who have attempted suicide and those who have not done so, on several risk and protective measures.

    METHOD: Participants were 11,806 undergraduate students from seven provinces in China, of which 237 reported a non-fatal suicide attempt. We used the random numbers generator function within the SPSS to randomly select a control subset of 1185 participants to be used as the comparison group based on a 1:5 case-control ratio. Scores on three commonly used risk measures (depression, hopelessness, and psychache) and three protective measures (social support, self-esteem, and purpose in life) for suicidality were adopted to compare the responses of the two groups.

    RESULTS: Suicide attempters had indicated higher Median scores for all three risk factor measurements. Suicide attempters also reported significantly lower Median scores for all three protective factor measurements compared to non-suicide attempters. The results suggest that the suicide attempters' group had higher risks of suicidality compared to the non-attempter group.

    CONCLUSIONS: Suicide attempters continued to report higher scores of risk factors and lower scores of protective factors, indicating that they may continue to be at a higher likelihood of a suicide attempt. Key protective factors should be identified for each individual in order to deliver appropriate clinical interventions to reduce their risk of reattempting.

  4. Lew B, Huen J, Yu P, Yuan L, Wang DF, Ping F, et al.
    PLoS One, 2019;14(7):e0217372.
    PMID: 31260454 DOI: 10.1371/journal.pone.0217372
    Suicide is a major public health concern worldwide. This study aimed to predict the suicidal behavior of Chinese university students by studying psychological measures such as hopelessness, orientation to happiness, meaning in life, depression, anxiety, stress, and coping styles. In November 2016, a stratified-clustered-random sampling approach was utilized to select subjects from two large public medical-related universities in Shandong province, China. This sample consisted of 2,074 undergraduate students (706 males, 1,368 females; mean age = 19.79±1.39 years). The students' major risk factors for suicide were depression, anxiety, stress, and hopelessness, and the students' minor risk factors included orientation to happiness and coping styles (including self-distraction, self-blame and substance use). Notably, the presence of meaning in life had a positive effect on preventing suicide and acted as a protective factor, which suggests that it is important to identify risk factors as well as protective factors relevant to the target population group in order to increase the effectiveness of counseling and suicide prevention programs.
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