Sociodemographic characteristics of the sample_
| N | % | |
|---|---|---|
| Gender | ||
| Female | 2,441 | 70.4 |
| Male | 1,022 | 29.5 |
| Other | 5 | 0.1 |
| Age | ||
| 18-21 years | 1,731 | 49.9 |
| 22-26 years | 1,497 | 43.2 |
| 27-40 years | 240 | 6.9 |
| Education level | ||
| Bachelor | 1,961 | 56.5 |
| Master | 1,440 | 41.5 |
| PhD, doctorate degree programme | 55 | 1.6 |
| Other | 12 | 0.3 |
| Subjective social status | ||
| Low | 497 | 14.3 |
| Medium | 2,251 | 64.9 |
| High | 720 | 20.8 |
| Chronic health condition | ||
| No | 2,904 | 83.7 |
| Yes | 564 | 16.3 |
Descriptive statistics and associations between psychological well-being, sociodemographic characteristics, presence of a chronic health condition and resilience_
| Good (vs poor) psychological well-being | |||||||
|---|---|---|---|---|---|---|---|
| Total | N(good) | % | X2(df) | p | Effect size | ||
| Gender | 48.1 (1) | 0.000 | Phi | 0.118 | |||
| Female | 2,430 | 1,183 | 48.7 | ||||
| Male | 1,021 | 629 | 61.6 | ||||
| Age | 21.7 (2) | 0.000 | Cramer V | 0.079 | |||
| 18-21 years | 1,725 | 846 | 49.0 | ||||
| 22-26 years | 1,487 | 816 | 54.9 | ||||
| 27-40 years | 239 | 150 | 62.8 | ||||
| Education level | 21.6 (2) | 0.000 | Cramer V | 0.079 | |||
| Bachelor | 1,957 | 964 | 49.3 | ||||
| Master | 1,439 | 811 | 56.4 | ||||
| PhD | 55 | 37 | 67.3 | ||||
| SSS | 88,2(2) | 0.000 | Cramer V | 0.160 | |||
| Low | 490 | 188 | 38.4 | ||||
| Medium | 2,244 | 1,155 | 51.5 | ||||
| High | 717 | 469 | 65.4 | ||||
| Chronic health condition | 15.8(1) | 0.000 | Phi | -0.068 | |||
| No | 2,893 | 1,562 | 54.0 | ||||
| Yes | 558 | 250 | 44.8 | ||||
| Resilience | 483.1(1) | 0.000 | Phi | 0.374 | |||
| Low (<Mdn) | 1,711 | 576 | 33.7 | ||||
| High (> = Mdn) | 1,740 | 1,236 | 71.0 | ||||
Results of the hierarchical binary logistic regression models predicting good psychological well-being_
| Good (vs poor) psychological well-being | ||||
|---|---|---|---|---|
| B | OR | [95% CI] | p | |
| Step 1 | ||||
| X2(df)=163.10 (6) *** | ||||
| Nagelkerke R^2=0.062 | ||||
| Gender (Ref = female) | 0.51 | 1.67 | 1.44-1.95 | 0.000 |
| Age | 0.04 | 1.04 | 1.02-1.07 | 0.001 |
| Education level (Ref = Bachelor) | 0.037 | |||
| Education level - Master | 0.19 | 1.21 | 1.04-1.41 | 0.012 |
| Education level - PhD | 0.29 | 1.34 | 0.73-2.45 | 0.346 |
| Subjective social status (Ref=low) | 0.000 | |||
| Subjective social status - Medium | 0.53 | 1.70 | 1.39-2.08 | 0.000 |
| Subjective social status - High | 1.08 | 2.93 | 2.30-3.73 | 0.000 |
| Step 2 | ||||
| X2(df)=176.95 (7) *** | ||||
| Nagelkerke R^2=0.067 | ||||
| Gender (Ref = female) | 0.51 | 1.66 | 1.42-1.93 | 0.000 |
| Age | 0.05 | 1.05 | 1.02-1.07 | 0.000 |
| Education level (Ref = Bachelor) | 0.043 | |||
| Education level - Master | 0.19 | 1.21 | 1.04-1.40 | 0.014 |
| Education level - PhD | 0.30 | 1.35 | 0.73-2.48 | 0.334 |
| SSS (Ref = Low) | 0.000 | |||
| SSS - Medium | 0.52 | 1.69 | 1.38-2.06 | 0.000 |
| SSS - High | 1.06 | 2.89 | 2.27-3.68 | 0.000 |
| Chronic health condition (Ref = No) | -0.35 | 0.70 | 0.58-0.85 | 0.000 |
| Step 3 | ||||
| X2(df)=568.91 (8)*** | ||||
| Nagelkerke R^2=0.203 | ||||
| Gender (Ref = female) | 0.28 | 1.32 | 1.12-1.55 | 0.001 |
| Age | 0.03 | 1.03 | 1.01-1.06 | 0.018 |
| Education level (Ref = Bachelor) | 0.158 | |||
| Education level - Master | 0.14 | 1.15 | 0.98-1.35 | 0.090 |
| Education level - PhD | 0.40 | 1.49 | 0.78-2.83 | 0.225 |
| SSS (Ref = Low) | 0.000 | |||
| SSS - Medium | 0.36 | 1.44 | 1.16-1.78 | 0.001 |
| SSS - High | 0.77 | 2.16 | 1.67-2.80 | 0.000 |
| Chronic health condition (Ref = No) | -0.29 | 0.74 | 0.61-0.91 | 0.004 |
| Resilience (Ref = Low) | 1.45 | 4.28 | 3.69-4.96 | 0.000 |