METHODS: Participants were recruited as part of a cohort study exploring the syndemic risks associated with HIV acquisition among young GBQ men in Singapore. We examined their levels of internalised, perceived, experienced homophobia, as well as their health behaviours and suicidal tendencies. Two separate variables were also self-reported by the participants - the age of questioning of sexual orientation and the age of acceptance of sexual orientation. We subsequently recoded a new variable, delayed acceptance of sexual orientation, by taking the difference between these two variables, regressing it as an independent and dependent variable to deduce its psychosocial correlates, as well as its association with other measured instruments of health.
RESULTS: As a dependent variable, delayed acceptance of sexual orientation is positively associated with an increase of age and internalised homophobia, while being negatively associated with reporting as being gay, compared to being bisexual or queer. As an independent variable, delayed acceptance of sexual orientation was associated with a delayed age of coming out to siblings and parents, suicide ideation, historical use of substances including smoking tobacco cigarettes and consuming marijuana, as well as reporting higher levels of experienced, internalised and perceived homophobia.
CONCLUSION: Greater levels of early intervention and efforts are required to reduce the heightened experience of minority stress resulting from communal and institutional hostilities. Areas of improvement may include community-based counselling and psychological support for GBQ men, while not forsaking greater education of the social and healthcare sectors. Most importantly, disrupting the stigma narrative of a GBQ 'lifestyle' is paramount in establishing an accepting social environment that reduces the health disparity faced by GBQ men.
METHODS: Data came from a large sample of 11,412 Chinese undergraduate students. A bifactor-IRT model, specifying one general strain factor and four specific strains factors, was examined for fit to the sample data. A detailed item analysis, with analysis of the differential item functioning (DIF) of the items across gender, was undertaken to evaluate the dimensionality of the PSS. The associations among the PSS scale scores with scores on the concurrent measures, assessing psychache and suicidal behaviors, were examined.
RESULTS: IRT-derived specific bifactor indices showed that the PSS was unidimensional, and thus the PSS total scores should be reported. Unidimensional subset of 5 items identified (Item 9, Item 12, Item 14, Item 16, and Item 20), using bifactor-IRT modeling and incremental validation, were selected to construct a potential short form of the PSS (PSS-SF). The PSS-SF scale scores demonstrated strong psychometric properties and associations with scores on the concurrent measures assessing relevant constructs.
LIMITATIONS: This study used cross-sectional data from a non-clinical sample of Chinese undergraduate students.
CONCLUSIONS: The PSS-SF should be considered as a unidimensional instrument with potential in enhancing our understanding and measurement of psychological strains with reduced response burden.
PURPOSE: The objective of this study is to examine the social risk factors that drive older people to have suicidal feelings or tendencies and the extent to which these factors arise from the changes that occur in their social environment as a result of the process of modernization and industrialization.
METHODS: This study employed the phenomenological approach through qualitative data collection technique. A total of 20 informants comprising 10 males and 10 females of Malay, Chinese and Indian ethnicity were selected for the study using purposive sampling technique. In-depth interviews were conducted with the informants. Data were transcribed and subsequently analyzed thematically using the NVivo 11 software.
RESULTS: The findings revealed five conditions that led older people toward suicidal intentions. These include social and cultural changes, lack of social support, conflict in religious belief, influence of economic uncertainty and socio-economic status, and depression as a result of the changes in their social environment.
CONCLUSION: The implication of this research is that these factors affect older people directly as they struggle to adapt and respond to the major changes that occur in the social structure of the society they live in, stemming from the process of modernization and industrialization. Efforts to enact better policies and services for older people need to be addressed especially in developing countries based on assessment of their needs, weaknesses, strengths, and capabilities by incorporating elements of the worldview of the older people based on their experiences of daily lives.
OBJECTIVE: The current study examines the association between religious affiliation and suicidality among college students in six provinces in China.
METHODS: We conducted a cross-sectional study involving 11,407 college students from six universities in Ningxia, Shandong, Shanghai, Jilin, Qinghai, and Shaanxi. We collected the data between October 2017 and March 2018 using self-report questionnaires. They included self-report measures of depression, psychache, hopelessness, self-esteem, social support, and life purpose.
RESULTS: Participants with a Christian affiliation had 1.5 times (95% CI: 1.14, 1.99, p = 0.004) higher odds of indicating an elevated suicide risk, 3.1 times (95% CI: 1.90, 5.04, p<0.001) higher odds of indicating a previous suicide attempt, and increased overall suicidality (B = 0.105, p < 0.001) after accounting for demographic and risk/protective factors. Christians also scored the highest in depression, psychache, hopelessness, and the lowest social support, self-esteem, and purpose in life. Muslims reported decreased suicidality (B = -0.034, p = 0.031). Buddhism/Daoism yielded non-significant results in the multivariate analyses.
CONCLUSIONS: Christian college students reported increased suicidality levels, perhaps due to public policies on religion. The decreased suicidality levels among Muslims may be attributed to higher perceived social support. The associations between religious affiliation and suicidality, depression, and hopelessness contrast sharply with US samples. This finding may be influenced by interactions between the religious denomination, individual, and social/political factors. This conclusion includes the possibility of anti-religious discrimination, which this paper did not investigate as a possible mediator and therefore remains a conjecture worthy of future investigation.
METHOD: A self-administered questionnaire was used to collect the data. We used F and χ2 tests and correlation analyses to report descriptive statistics. Multi-group path models with (i) a zero-inflated Poisson distribution and, (ii) a Binomial distribution were used to model the number of occurrences of suicidal ideation, and occurrence of a suicide attempt, respectively.
RESULTS: Religiosity was negatively associated with acceptability of suicide, but it was positively related to punishment after death across the 11 countries. Religiosity was negatively associated with ever experiencing suicidal ideation, both directly and indirectly through its association with attitudes towards suicide, especially the belief in acceptability of suicide. Neither positive nor negative religious coping were related to suicidal ideation. However, religiosity was negatively related to suicide attempts among those who experienced suicidal ideation at least once. This association was mediated through the belief in acceptability of suicide and religious coping. Negative religious coping was positively associated with suicide attempts probably because it weakened the protective effects of religiosity.
CONCLUSIONS: Findings from this study suggest that the effects of religiosity in the suicidal process operate through attitudes towards suicide. We therefore conclude that clinical assessment as well as research in suicidology may benefit from paying due attention to attitudes towards suicide.
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.
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.
METHODS: In the current study, 2074 students (706 males), filled out the Meaning in Life Questionnaire, with subscales of Search for Meaning (MLQ-S) and Presence of Meaning (MLQ-P); the Future Disposition Inventory-24 (FDI-24), with subscales of Positive Focus (PF), Suicide Orientation (SO), and Negative Focus (NF); and the Beck Hopelessness Scale (BHS). These scales measure protective and risk factors that are linked to suicidal behaviors; while suicidal behaviors were measured by the Suicidal Behaviors Questionnaire-Revised (SBQ-R). Mediation analyses were performed to test the models with both the MLQ-S and MLQ-P as the mediators between a) hopelessness, as measured by BHS and suicidal behaviors; and b) PF, SO, and NF, as measured by FDI-24, and suicidal behaviors.
RESULTS: We found that only MLQ-P mediated the relation between hopelessness and suicidal behaviors; while both MLQ-P and MLQ-S mediated PF, SO, and NF (as measured by FDI-24), and suicidal behaviors, respectively.
CONCLUSION: Meaning in life, including both the presence of meaning in life and search for meaning, can be good protective factors against suicidal behaviors.
OBJECTIVE: To examine the risk and protective factors contributing to suicidality among undergraduate college students in seven provinces in China.
METHODS: We conducted a cross-sectional study involving 13,387 college students from seven universities in Ningxia, Shandong, Shanghai, Jilin, Qinghai, Shaanxi, and Xinjiang. Data were collected using self-report questionnaires.
RESULTS: Higher scores in the psychological strain, depression, anxiety, stress, and psychache (psychological risk factors for suicidality) and lower scores in self-esteem and purpose in life (psychological protective factors against suicidality) were associated with increased suicidality among undergraduate students in China. Demographic factors which were associated with higher risks of suicidality were female gender, younger age, bad academic results, were an only child, non-participation in school associations, and had an urban household registration. Perceived good health was protective against suicidality.
CONCLUSIONS: Knowing the common risk and protective factors for suicidality among Chinese undergraduate students is useful in developing interventions targeted at this population and to guide public health policies on suicide in China.
Methods: Two hundred fifty-six patients with schizophrenia between the age of 18 and 65 years were randomly recruited. This cross-sectional study utilised the Calgary Depression Scale for Schizophrenia (CDSS), the Positive and Negative Syndrome Scale (PANSS) and the Psychotic Symptom Rating Scale (PSYRATS-AH). Univariate analysis was performed using an independent t-test or chi-square test, followed by binary logistic regression to determine the factors associated with increased suicidal risks.
Results: The socio-demographic factors associated with suicidal ideation included level of education (p=0.039); secondary-level education (OR=5.76, 95% CI:1.49, 22.34, p=0.011) and tertiary-level education (OR=9.30, 95% CI: 1.80, 48.12, p=0.008) posed a greater risk. A history of attempted suicide (OR=2.09, 95% CI: 1.01, 4.36, p=0.049) and the presence of co-morbid physical illnesses (OR=2.07, 95% CI: 1.02, 4.21, p=0.044) were also found to be associated with a suicidal ideation. Other significant factors associated with suicidal thoughts were concurrent depression (OR=9.68, 95% CI: 3.74, 25.05, p<0.001) and a higher PSYRATS score in emotional characteristics of auditory hallucinations (OR=1.13, 95% CI: 1.06, 1.21, p<0.001).
Conclusion: Suicide in schizophrenia appears to be more closely associated with certain socio-demographic factors and affective symptoms. Appropriate screening and treatment addressing these challenges must be emphasized if suicidal thoughts and actions are to be reduced.
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.