Table 2.
Demographic characteristics of students in the intervention group and control group.
| Participant’s demographic characteristics | Intervention group (n = 44) | Control group (n = 37) | p-values for the testing of differences between the two groups |
|---|---|---|---|
| Age, mean (SD), year | 19.9 (1.5) | 20.1 (1.6) | 0.676 |
| Gender | 0.296 | ||
| Male, n (%) | 18 (40.9) | 11 (29.7) | |
| Female, n (%) | 26 (59.1) | 26 (70.3) | |
| Household income | 0.229 | ||
| Under 10,000 HKD, n (%) | 3 (6.8) | 8 (21.6) | |
| 10,000–30,000 HKD, n (%) | 21 (47.7) | 17 (45.9) | |
| 30,000–50,000 HKD, n (%) | 14 (31.8) | 7 (18.9) | |
| Above 50,000 HKD, n (%) | 6 (13.6) | 5 (13.5) | |
| Subject area | 0.507 | ||
| Social science and humanities, n (%) | 24 (54.5) | 17 (45.9) | |
| Natural science, n (%) | 20 (45.5) | 20 (54.1) | |
Means with the standard deviations (SDs) are presented for the continuous variable, and numbers with the percentages of students are presented for categorical variables. The p-values for continuous variables, such as age, are analyzed using two-sample t-test, and the p-values for categorical variables are analyzed with the Chi square test or Fisher’s exact test. A value of p < 0.05 denotes statistical significance.