MATERIALS AND METHODS: This review has two parts. The first part is a scoping review of the factors associated with suicidal ideation and attempt among young people. The search was conducted in Pubmed, Scopus, and PsycInfo. The second part is the development of preventive strategies according to the identified factors. Both parts will be guided by the SEM model.
RESULTS: A total of ten studies with 45,278 participants that matched the criteria are included in this review. The review found that the risk factors for suicidal ideation among young people in LMIC are being female, psychiatric illness, psychology problem, smoking, alcohol intake, victim of abuse, bullied, and food insecurity. The preventive strategies include policy, mental healthcare services, awareness programme, and coping strategies.
CONCLUSION: More epidemiological studies are needed to evaluate the risk factors of suicide that are unique in LMIC, such as help-seeking behaviour and available mental healthcare services. Suicide prevention requires concerted effort of policymakers, healthcare services, community and individual; thus, SEM framework is suitable as a guidance for suicide prevention.
METHODS: 6,305 college students (39.3% men; 60.7% women) from six Chinese provincial-level jurisdictions completed a paper-and-pencil survey with Psychological Strain Scales (PSS-40) and Depression, Anxiety, and Stress Scales-21 (DASS-21), both validated in Chinese populations.
RESULTS: Both PSS-40 and DASS-21 have high internal consistency reliabilities, and are highly correlated with each other. Hence, Chinese college students with greater psychological strains (value, aspiration, deprivation, or coping) have greater depression, anxiety, and stress. These results still held after controlling for relevant socio-demographic variables in the multiple regression models.
LIMITATIONS: This was a cross-sectional study, and the sample only included several provinces in mainland China, not a representative sample of all of them.
CONCLUSIONS: Mood disorders and psychopathologies are linked to suicidal thoughts and behaviors. The results of this study extend the Strain Theory of Suicide from explaining the risk factors of suicidality to mood disorders and psychopathologies. Hence, these findings can inform prevention measures among college students, and possibly the general population.
OBJECTIVES: To investigate the prevalence of suicidal ideation and its factors in first-year Chinese university students from a vocational college in Zhejiang during the COVID-19 pandemic.
METHODS: Using a cluster sampling technique, a university-wide survey was conducted of 686 first-year university students from Hangzhou in March 2020 using University Personality Inventory (UPI). UPI includes an assessment for suicidal ideation and possible risk factors. Suicidal ideation prevalence was calculated for males and females. Univariate analysis and multivariable logistic regression models were conducted, adjusting for age and sex. Analyses were carried out using the SPSS version 22.0 software.
RESULTS: The prevalence of 12-month suicidal ideation among first-year university students during March 2020 was 5.2%, and there was no significant difference between males and females (4.8% vs. 6.0%, x2 = 0.28, p = 0.597). Multivariable logistic regression analysis identified social avoidance (B = 0.78, OR = 2.17, p < 0.001) and emotional vulnerability (B = 0.71, OR = 2.02, p < 0.001) as positively associated with suicidal ideation.
CONCLUSIONS: Social avoidance and emotional vulnerabilities are unique factors associated with greater suicidal ideation among first-year university students during the COVID-19 pandemic. UPI serves as a validated tool to screen suicide risks among Chinese university students. Encouraging social engagement and improving emotional regulation skills are promising targets to reduce suicidal ideation among first-year university students.
METHODS: Participants comprised 1912 college students (16-28 years old, 47.2% female) from three universities in Jilin Province, China, who completed the self-report assessments of psychological strains (40 items Psychological Strains Scale) and suicidal behaviors (Suicidal Behaviors Questionnaire-Revised). The demographic characteristics included four variables: health status, psychological status, academic status and economic status.
RESULTS: Approximately 15.0% (286/1912) of participants were classified as having suicide risk, based on the cut-off scores of the SBQ-R. The prevalence of suicidal behaviors among males and females was 11.9% (120/1009) and 18.4% (166/903), respectively. Value strain (OR = 1.075, 95%CI: 1.057-1.094), aspiration strain (OR = 1.082, 95%CI: 1.064-1.101), deprivation strain (OR = 1.073, 95%CI: 1.052-1.093), and coping strain (OR = 1.095, 95%CI: 1.075-1.116) were risk factors for suicidality in college students. Coping strain (OR = 1.050, 95%CI: 1.023-1.077) was still positively associated with suicide risk in multivariate logistic regression. Logistic regression analysis indicated that coping strain had the highest correlation with suicidal behaviors.
LIMITATIONS: The directionality of the relationships cannot be deduced because this study is cross-sectional.
CONCLUSION: This study confirms a strong association between psychological strains and suicidal behaviors in college students. Some measures can be taken to reduce psychological strains to mitigate suicide risk among college students. More studies investigating coping strain among college students are warranted.
Materials and Methods: A cross-sectional questionnaire-based survey was carried out among 452 youths from Pokhara, Nepal. The present study included both genders (age 18-24 years) who were smokers as well as non-smokers.
Results: Across the study period, 452 participants were identified after matching for age, and sex (226 in the smoking group and 226 in the non-smoking group). The mean age of participants was 21.6±1.2 years and 58.8% were males. The overall rate of suicidal ideation in our cohort was 8.9%. Smokers were slightly more likely to report suicidal ideation than non-smokers (aOR 1.12). The risk of developing suicidal ideation was 3.56 (95% CI 1.26-10.09) times more in individuals who smoked greater than 3.5 cigarettes per week (p=0.01).
Conclusion: The rate of suicidal ideation was slightly higher among smokers and a dose-response relationship was identified with the number of cigarettes smoked per week. Being aware of the link between smoking and suicidal ideation may help health care professionals working with young people to address more effectively the issues of mental well-being and thoughts about suicide.
OBJECTIVES: This study sought to clarify the relationship between early trauma, dissociative experience, and suicide ideation as predictive factors of active and passive addiction potential (A/PAP) in high-school students.
PATIENTS AND METHODS: Three hundred students with the mean age of 15.72 y were selected via multistage random sampling. All participants were asked to complete Iranian addiction potential scale, early trauma inventory, dissociative experiences scale, and Beck's suicide ideation scale. Analyzing data was done using canonical correlation.
RESULTS: Structural coefficients showed that the pattern of high scores in A/PAP correlates with the pattern of high scores in early trauma, dissociative experience and suicide ideation. The findings of the study showed that the combination of low A/PAP can probably decrease the likelihood of early trauma, dissociative experience and suicide ideation.
CONCLUSIONS: Early trauma, dissociative experience, and suicide ideation can predict A/PAP and explain the considerable variance of survival index.