Table 4.
Multinomial logistic regressions testing predictors of responses: relative risk ratios with 95% confidence intervals. (***Significantly different from 1, p < 0.001, **Significantly different from 1, p < 0.01, *Significantly different from 1, p < 0.05). Heat map shading shows the largest differences with relative risks ratios over 9.0 as dark grey, and between 4.0 and 8.9 as light grey.
| (a) Climate change. | ||||
|---|---|---|---|---|
| How much of this issue is a problem for you personally? | ||||
| A Small Problem | Somewhat a Problem | Very_Much_a_Problem | ||
| vs | vs | vs | ||
| Not a Problem | Not a Problem | Not a Problem | ||
| Gender (women) | 1.12 | 3.8*** | 17.98*** | |
| (0.89–1.42) | (3.14–4.61) | (15.09–21.43) | ||
| Age | 18–24 (ref) | – | – | – |
| 25–34 years | 2.02*** | 3.59*** | 9.18*** | |
| (1.44–2.82) | (2.63–4.89) | (6.87–12.55) | ||
| 35–44 years | 1.29 | 3.26*** | 17.19*** | |
| (0.81–2.06) | (2.18–4.87) | (11.97–24.70) | ||
| 45–54 years | 0.71 | 2.65*** | 12.10*** | |
| (0.47–1.08) | (1.93–3.65) | (9.11–16.05) | ||
| 55–64 years | 0.64** | 2.00*** | 9.51*** | |
| (0.46–0.89) | (1.55–2.58) | (7.64–11.83) | ||
| 65–74 years | 0.53*** | 1.54*** | 5.72*** | |
| (0.40–0.71) | (1.24–2.58) | (4.76–6.88) | ||
| 75+ years | 0.79 | 1.24 | 3.19*** | |
| (0.55–1.11) | (0.91–1.70) | (2.43–4.17) | ||
| Location (outside major cities) | 0.74** | 1.46*** | 6.18*** | |
| (0.58–0.92) | (1.21–1.77) | (5.27–7.24) | ||
| IRSD quintile (highest to | 0.95 | 1.34*** | 1.98*** | |
| lowest disadvantage) | (0.91–1.00) | (1.29–1.40) | (1.91–2.06) | |
| Other (ref) | – | – | – | |
| Queensland | 0.81 | 1.52** | 5.00*** | |
| (0.61–1.07) | (1.19–1.93) | (4.07–6.14) | ||
| NSW | 0.86 | 1.79*** | 7.04*** | |
| (0.69–1.07) | (1.49–2.15) | (6.01–8.25) | ||
| Victoria | 0.96 | 3.20*** | 15.19*** | |
| (0.71–1.37) | (2.49–4.10) | (12.12–19.01) | ||
| (b) COVID-19 | ||||
|---|---|---|---|---|
| How much of this issue is a problem for you personally? | ||||
| A Small Problem | Somewhat a Problem | Very_Much_a_Problem | ||
| vs | vs | vs | ||
| Not a Problem | Not a Problem | Not a Problem | ||
| Gender (women) | 2.68*** | 4.17*** | 2.80*** | |
| (2.34–3.06) | (3.67–4.73) | (2.45–3.19) | ||
| Age | 18–24 (ref) | – | – | – |
| 25–34 years | 2.11*** | 3.39*** | 2.64*** | |
| (1.64–2.72) | (2.67–4.30) | (2.06–3.37) | ||
| 35–44 years | 3.32*** | 4.45*** | 3.00*** | |
| (2.49–4.43) | (3.36–5.89) | (2.24–4.01) | ||
| 45–54 years | 2.10*** | 3.03*** | 2.12*** | |
| (1.66–2.65) | (2.43–3.79) | (1.68–2.68) | ||
| 55–64 years | 2.01*** | 2.76*** | 1.98*** | |
| (1.65–2.44) | (2.30–3.33) | (1.63–2.41) | ||
| 65–74 years | 2.20*** | 2.90*** | 1.91*** | |
| (1.81–2.68) | (2.41–3.50) | (1.57–2.33) | ||
| 75+ years | 1.49** | 1.67*** | 1.1 | |
| (1.13–1.97) | (1.28–2.20) | (0.81–1.48) | ||
| Location (outside major cities) | 1.83*** | 2.19*** | 1.51*** | |
| (1.57–2.13) | (1.89–2.54) | (1.29–1.77) | ||
| IRSD quintile (highest to | 1.28*** | 1.40*** | 1.27*** | |
| lowest disadvantage) | (1.24–1.32) | (1.37–1.44) | (1.23–1.30) | |
| Other (ref) | – | – | – | |
| Queensland | 1.60*** | 1.77*** | 0.98 | |
| (1.32–1.94) | (1.46–2.13) | (0.79–1.21) | ||
| NSW | 2.36*** | 3.38*** | 2.48*** | |
| (2.01–2.79) | (2.89–3.95) | (2.11–2.92) | ||
| Victoria | 3.18*** | 5.40*** | 4.11*** | |
| (2.59–3.90) | (4.45–6.56) | (3.37–5.01) | ||