Table 4.
Likelihood of students being classified in a cluster containing a risky health behaviour based on their age, field of study and accommodation type
| Male Students | ||||||||
| Cluster Title | Low PA & Poor Diet | Convenience Food | Alcohol Consumption | Smoking & Drug Use | ||||
| N | 581 | 406 | 431 | 569 | ||||
| Participant Demographics | ||||||||
| OR | 95% CI | OR | 95% CI | OR | 95% CI | OR | 95% CI | |
| Age (years) | 1.06** | 1.04–1.09 | 0.99 | 0.96–1.02 | 1.03* | 1.00–1.05 | 1.06** | 1.03–1.08 |
| Field of Study (Reference Cluster = Health, Welfare & Exercise) | ||||||||
| Social, Business, Law | 2.34** | 1.55–3.54 | 1.65* | 1.08–2.51 | 3.00** | 1.96–4.60 | 2.10** | 1.43–3.07 |
| Humanities & Arts | 2.08** | 1.25–3.45 | 1.57 | 0.93–2.65 | 3.04** | 1.80–5.13 | 2.73** | 1.74–4.27 |
| Education | 1.89 | 0.93–3.85 | 1.66 | 0.82–3.37 | 0.84 | 0.36–1.95 | 0.83 | 0.37–1.83 |
| Science, Maths, Computing | 2.61** | 1.85–3.67 | 1.49* | 1.05–2.12 | 1.81** | 1.25–2.63 | 1.46* | 1.06–2.02 |
| Engineering & Manufacturing | 2.02** | 1.26–3.27 | 1.34 | 0.81–2.23 | 1.25 | 0.73–2.16 | 1.31 | 0.82–2.09 |
| Other | 2.89** | 1.58–5.27 | 1.52 | 0.78–2.98 | 2.87** | 1.50–5.52 | 1.62 | 0.87–2.99 |
| Accommodation (Reference Cluster = Living at Home | ||||||||
| Away from home | 0.91 | 0.72–1.15 | 0.92 | 0.71–1.19 | 3.05** | 2.34–3.98 | 1.16 | 0.92–1.46 |
| Female Students | ||||||||
| Cluster Title | Low PA & Smoking | Convenience Food | Alcohol Consumption | |||||
| N | 575 | 491 | 311 | |||||
| Participant Demographics | ||||||||
| OR | 95% CI | OR | 95% CI | OR | 95% CI | |||
| Age (years) | 1.03** | 1.01–1.04 | 0.96** | 0.93–0.98 | 0.99 | 0.97–1.02 | ||
| Field of Study (Reference Cluster = Health, Welfare & Exercise) | ||||||||
| Social, Business, Law | 1.76** | 1.29–2.39 | 1.60** | 1.16–2.20 | 1.46 | 1.00–2.13 | ||
| Humanities & Arts | 1.70** | 1.23–2.35 | 1.19 | 0.84–1.68 | 1.33 | 0.89–1.99 | ||
| Education | 0.32** | 0.19–0.53 | 0.81 | 0.54–1.21 | 0.86 | 0.55–1.36 | ||
| Science, Maths, Computing | 1.59** | 1.15–2.21 | 1.28 | 0.90–1.81 | 1.07 | 0.71–1.63 | ||
| Engineering & Manufacturing | 1.25 | 0.59–2.66 | 1.43 | 0.68–2.99 | 1.12 | 0.43–2.88 | ||
| Other | 1.15 | 0.73–1.82 | 0.99 | 0.60–1.63 | 0.63 | 0.32–1.23 | ||
| Accommodation (Reference Cluster = Living at Home) | ||||||||
| Away from home | 1.11 | 0.90–1.36 | 0.75** | 0.61–0.93 | 1.72** | 1.31–2.26 | ||
Binary logistic Regression: Reference category = Ideal Healthy Cluster (males: n = 649; females: n = 1147); * = p < 0.05, ** = p < 0.01, OR = Odds Ratio; NS = not significant; 95% CI = 95% Confidence Interval. Numbers are reduced due to missing data for demographic data