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.
METHODS: This was a cross-sectional study. A total of 327 secondary school students completed the Alcohol Use Disorder Identification Test and Children's Depression Inventory, and a sociodemographic questionnaire. Binary and multivariable logistic regression were used to examine the relationship between the different variables.
RESULTS: A total of 42.2% of adolescents had PAU. Urban adolescents had a higher prevalence compared with rural adolescents (OR, 1.612; 95% CI: 1.036-2.508 P = 0.034). Female adolescents (56.8%) and Bumiputera Sarawak adolescents (76.8%) comprised a large proportion of the respondents with PAU. Cultural norm (78.3%) and curiosity (68.1%) were the two main reasons for PAU. Only family history of alcohol use (OR, 2.273; 95% CI: 1.013-5.107; P = 0.047), ever consumed alcohol (OR, 57.585; 95% CI: 21.885-151.525; P
DESIGN AND METHODS: Participants were randomly selected using multi-stage sampling methods from three public universities in the study location. Participants completed measures of internet and smartphone addictions, depression, anxiety, stress, and suicidality, along with sociodemographic items.
FINDINGS: At bivariate level, both internet and smartphone addictions were found to have significant positive correlations with depression, anxiety, stress, and suicidality. At multivariate level, only internet addiction emerged as a consistent significant predictor for depression, anxiety, stress, and suicidality.
PRACTICE IMPLICATIONS: The present findings have implications for mental health professionals to routinely screen for psychological disturbance in young adults who have potential risks for internet addiction.
METHODS: A single-blind randomized controlled trial was carried out among 370 female undergraduate students from January 2011 to April 2012 in two selected public universities in Malaysia. Participants were randomized to either the intervention group or the control group. The educational program was delivered to the intervention group. The outcome measures were assessed at baseline, 6, and 12 months after implementing the health educational program. Chi-square, independent samples t-test and two-way repeated measures ANOVA (GLM) were conducted in the course of the data analyses.
RESULTS: Mean scores of knowledge on breast cancer (p<0.003), knowledge on breast self examination (p<0.001), benefits of BSE (p<0.00), barrier of BSE (0.01) and confidence of BSE practice (p<0.00) in the intervention group had significant differences in comparison with those of the control group 6 and 12 months after the intervention. Also, among those who never practiced BSE at baseline, frequency of BSE practice increased 6 and 12 months after the intervention (p<0.05).
CONCLUSION: The Breast Health Awareness program based on health the belief model had a positive effect on knowledge of breast cancer and breast self-examination and practice of BSE among females in Malaysia.
TRIAL REGISTRATION: The ANZCTR clinical trial registry ( ACTRN12616000831482 ), retrospectively registered on Jun 23, 2016 in ANZCTR.org.au.
METHODS: A total of 25 items were developed based on literature reviews encompassing four main constructs: sexual intention, attitude, social norms and self-efficacy. The YSI-Q then underwent a validation process that included content and face validity, exploratory factor analysis (EFA), reliability analysis, and confirmatory factor analysis (CFA). This study was conducted on unmarried youths aged 18 to 22 years who were studying in colleges around Klang Valley, Malaysia.
RESULTS: EFA supported the four factor structure, but five items were removed due to incorrect placement or low factor loading (<0.60). Internal reliability using Cronbach's alpha ranged between 0.89 and 0.94. The CFA further confirmed the construct, convergent and discriminant validity of the YSI-Q with χ 2 = 392.43, df = 164, p
METHODS: A cross-sectional questionnaire survey and anthropometric measurement were conducted with undergraduate university students that were randomly recruited. The Eating Attitudes Test (EAT-26) was utilized to determine the prevalence of disordered eating attitudes. The sample included 3148 university students, with a mean age of 20.5 years, SD = 1.6.
RESULTS: Using the EAT-26, 11.5% of the students across all countries were classified as being at risk for an eating disorder, ranging from below 10% in Indonesia, Thailand and Vietnam to 13.8% in Malaysia and 20.6% in Myanmar. In multivariable logistic regression analysis, sociodemographic factors (wealthier subjective economic status, and living in a lower middle income country), underweight and overweight body weight perception, psychological factors (depression symptoms and pathological internet use), and being obese were associated with eating disorder risk.
CONCLUSIONS: Relatively high rates of eating disorder risk were found. This result calls for increased awareness, understanding of eating disorders and related risk factors and interventions in university students in ASEAN.
LEVEL OF EVIDENCE: Level V, descriptive cross-sectional survey.