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.
STUDY DESIGN: This is a cross-sectional study.
METHODS: We used data from the 2012 Malaysian Global School-based Student Health Survey, which covered adolescents aged 11-17 years (51% girls). Adolescents were asked about their physical activity, sitting time, and levels of parental and peer support. Participants with ≥60 min of moderate to vigorous physical activity per day and ≤2 h of sitting time per day were categorised as having an 'active lifestyle'. Binary logistic regression was used to examine the relationships by gender and age group (11-14 and 15-17 years).
RESULTS: Of the participating adolescents (n = 12,081), 15.3% reported to have an active lifestyle (boys: 22.0%; girls: 8.8%). About 31% reported to have higher levels of parental support, whereas 47% reported higher levels of peer support. Higher parental and peer support were significantly associated with an active lifestyle of boys across both age groups. Girls with higher parental support had higher odds of reporting an active lifestyle in both age groups, whereas higher peer support was significantly associated with an active lifestyle among girls aged 11-14 years.
CONCLUSIONS: This study uniquely extends the current evidence by examining the associations of parental and peer support with physical activity and sitting time combined. More research is needed to understand how different types of social support can influence adolescents' active lifestyle.
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