Table 3.
Variable* | Levels | Odds ratio | 95% CI | p value |
---|---|---|---|---|
Gender | Male | 1 | ||
P < 0.05 | Female | 1.40 | 1.07-1.82 | <.05 |
Marital status** | Married | 1 | ||
P < 0.001 | De facto | 0.92 | 0.59-1.45 | .72 |
Separated/divorced | 1.87 | 1.28-2.75 | <.01 | |
Widowed | 1.56 | 1.10-2.20 | <.05 | |
Never married | 1.81 | 1.27-2.59 | <.01 | |
Level of Disadvantage | Most disadvantaged | 1 | ||
P < 0.05 | 2 | 0.66 | 0.47-0.93 | <.05 |
3 | 0.62 | 0.43-0.89 | <.01 | |
4 | 0.68 | 0.48-0.97 | <.05 | |
Least disadvantaged | 0.55 | 0.38-0.80 | <.01 | |
Physical activity | No activity | 1 | ||
P < 0.001 | Some activity but not sufficient | 0.60 | 0.44-0.81 | <.01 |
Sufficient physical activity | 0.42 | 0.30-0.59 | <.001 | |
Body mass index | Healthy weight | 1 | ||
P < 0.001 | Overweight | 1.07 | 0.80-1.43 | .66 |
Obese | 2.13 | 1.53-2.96 | <.001 | |
Underweight | 1.15 | 0.57-2.29 | 0.70 |
*Other variables included in the analysis were as follows: smoke-free home (p = 0.17), smoking history (p = 0.13)
# Multi-variate logistic regression with breathlessness as the dependent variable. Controlling for age, clustering and weighted to the South Australian population
** unstated marital status dropped due to collinearity