Table 1.
Demographic characteristics of the adolescent and young adult group
| Variables | Adolescent group (n = 26) |
Young adult group (n = 30) |
Test statistic | p |
|---|---|---|---|---|
| Age (years) | 14.15 ± 0.92 | 19.33 ± 1.47 | U = 0.000; Z = -6.470 | < 0.001 |
| Gender (male/female) | 15/11 | 16/14 | χ² (1, N = 56) = 0.107 | 0.743 |
| Full Scale IQ | 108.27 ± 5.20 | 110.30 ± 5.47 | t (54) = -1.419 | 0.162 |
| Ethnicity (%) | Asian (100%) | Asian (100%) | ||
| Language (%) | Mandarin Chinese (100%) | Mandarin Chinese (100%) | ||
| Site of Testing (%) | Beijing, urban middle school campus (100%) | Beijing, urban university campus (100%) | ||
| Household Income (¥/month) | χ² (2, N = 56) = 5.161 | 0.076 | ||
| Low (≤ 8,000) | 1 (3.8%) | 6 (20.0%) | ||
| Middle (8,001–20,000) | 13 (50.0%) | 17 (56.7%) | ||
| High (> 20,000) | 12 (46.2%) | 7 (23.3%) | ||
| Maternal Education | χ² (2, N = 56) = 4.738 | 0.094 | ||
| Below bachelor’s degree | 4 (15.4%) | 12 (40.0%) | ||
| Bachelor’s degree | 12 (46.2%) | 12 (40.0%) | ||
| Postgraduate degree | 10 (38.5%) | 6 (20.0%) |
IQ Intelligence Quotient. Continuous variables are presented as M ± SD; categorical variables as n (%). Mann-Whitney U test was used for non-normally distributed data (Age); chi-square (χ²) tests were used for categorical variables (Gender, Income and Education); independent t-tests was used for normally distributed continuous variables (IQ). p < .05