METHODS: This was a quasi-experimental study with university students as participants. Intervention group participants were instructed to complete online questionnaires which covered basic demographics and instruments assessing depression, anxiety, stress, mindfulness, psychological flexibility, and fear of COVID-19 before and after the one-hour intervention. The control group also completed before and after questionnaires and were subsequently crossed over to the intervention group. Repeated measures ANOVA was conducted to assess time*group effects.

RESULTS: 118 participants were involved in this study. There were significant differences in anxiety (F(1,116) = 34.361, p < 0.001, partial eta-squared = 0.229) and psychological flexibility between the two groups (F(1,116) = 11.010, p = 0.001, partial eta-squared = 0.087), while there were no differences in depression, stress, mindfulness, or fear of COVID-19.

OBJECTIVE: This study aims to evaluate the effectiveness of carbon monoxide measurement feedback and the standard brief motivation adopted to encourage the smoker to quit.

METHODS: A single-blind, cluster randomised controlled trial was conducted at ten tertiary colleges in Selangor. The study recruited young adult smokers at the precontemplation and contemplation stages. The subjects in the control group received a standard brief motivational strategy. On the other hand, the intervention group received additional carbon monoxide measurement and a motivational feedback module. A follow up was conducted at the first, third and sixth month to measure changes in smoking cessation stage. Subsequently, the secondary outcomes of a mean number of cigarette consumption and quit smoking attempt were analysed. A total of 160 subjects were required to detect the expected difference of 17% in primary outcomes between the groups. This study utilised Generalised Estimating Equations (GEE) to handle the clustering effects.

METHOD: Participants were 98 female students from Malaysia, who completed a measure of risk factors for eating disorder symptomatology (the Eating Disorder Inventory-3 subscales of drive for thinness, body dissatisfaction, and bulimia symptoms) at two time points: two months prior to beginning their sojourn in the UK (Time 1) and four months after the sojourn began (Time 2). At Time 2, participants also completed measures of sociocultural adjustment, cultural distance between home and host cultures, and perceived discrimination in the host culture.

RESULTS: Analyses indicated that, compared to scores at Time 1, participants had significantly higher drive for thinness (d = 0.64), body dissatisfaction (d = 0.54), and bulimia symptoms (d = 0.29) at Time 2. Poorer sociocultural adjustment and greater perceived discrimination significantly predicted greater risk of eating disorders at Time 2.

METHODS: This multi-country cross-sectional study was conducted in 2015 in Cambodia, Indonesia, Laos, Malaysia, Myanmar, the Philippines, Singapore, Thailand and Vietnam. A multi-stage cluster sampling was used to select undergraduate students from one or two universities in each country for self-administered questionnaire survey. Multivariate logistic regression analyses was performed to explore risk factors related to illicit drug use.

RESULTS: Participants included 7,923 students with a mean age of 20.6 years (SD = 2.8), ranging from 18-30 years. The overall prevalence of frequent (≥10 times), infrequent (1-9 times) and ever (at least once) illicit drug use in the past 12 months was 2.2, 14.7, and 16.9%, respectively. After adjustment, male students were significantly less likely to be infrequent (1-9 times vs. never), but significantly more likely to be ever users compared to females. Compared to those living with parents/guardians, students living away from parents/guardians were significantly less likely to be frequent (≥10 times vs. never) and infrequent users. Students from lower-middle-income countries were significantly more likely to be frequent and infrequent users, but significantly less likely to be ever users compared to those from upper-middle or high-income countries. Students with poor subjective health status were significantly more likely to be frequent users compared to those who reported good subjective health status. Students who reported binge drinking in the past month were significantly more likely to be infrequent users, but significantly less likely to be ever users.

METHODS: This cross-sectional study was conducted in 2015 among 8809 undergraduate university students from 13 universities in Cambodia, Indonesia, Laos, Malaysia, Myanmar, the Philippines, Singapore, Thailand and Vietnam using self-administered questionnaire. Multivariate logistic regression analyses were conducted to explore the associated factors.