Table 4.
Logistic regression analyses of factors affecting multimorbidity.
| Multimorbidity | Model 1 – unadjusted |
Model 2 – final |
||
|---|---|---|---|---|
| OR | (95% CI) | OR | (95% CI) | |
| Age | ||||
| 25–34 | (base) | (base) | ||
| 35–44 | 1.80* | (1.11, 2.92) | 1.64 | (0.96, 2.81) |
| 45–54 | 5.15** | (2.58, 10.29) | 4.07** | (1.95, 8.49) |
| 55–64 | 9.89** | (5.36, 18.25) | 8.63** | (4.47, 16.64) |
| 65+ | 8.89** | (4.41, 17.89) | 7.61** | (3.57, 16.20) |
| Gender | ||||
| Males | (base) | (base) | ||
| Females | 1.59** | (1.23, 2.05) | 1.17 | (0.86, 1.60) |
| Socioeconomic status | ||||
| Not deprived | (base) | (base) | ||
| Vulnerable | 1.19 | (0.85, 1.67) | 0.96 | (0.65, 1.43) |
| Deprived | 1.91** | (1.34, 2.72) | 1.50* | (1.00, 2.25) |
| Severe Poverty | 1.13 | (0.64, 2.00) | 0.85 | (0.45, 1.62) |
| Race | ||||
| Black African | (base) | (base) | ||
| Coloured | 1.02 | (0.75, 1.41) | 0.83 | (0.54, 1.27) |
| Asian/Indian | 2.74** | (1.47, 5.14) | 2.38* | (1.15, 4.94) |
| White | 0.69 | (0.39, 1.22) | 0.45* | (0.21, 0.95) |
| Rural/Urban | ||||
| Rural | (base) | (base) | ||
| Urban | 1.13 | (0.85, 1.50) | 1.87** | (1.32, 2.66) |
| Obesity | ||||
| Not obese | (base) | (base) | ||
| Obese | 2.18** | (1.45, 3.27) | 1.66* | (1.08, 2.54) |
| Exercise | ||||
| Exercises | (base) | |||
| Does not exercise | 1.107 | (0.74, 1.64) | ||
| Smoking | ||||
| Does not smoke | (base) | |||
| Smokes/smoked regularly | 0.92 | (0.69, 1.22) | ||
| Alcohol | ||||
| Does not drink alcohol | (base) | |||
| Drinks alcohol | 0.66 | (0.47, 0.94) | ||
*p < 0.05; **p < 0.01.