Table 1.
Generalised linear model (Poisson distribution) for any risk-reduction behaviour before events, N=556, Optimise participants, Victoria, Australia, February 2022.
| Variable | Total N=556 n (%) | Any risk reduction n=339 (61%) | No risk reduction n=217 (39%) | Unadjusted relative risk N=556 | Unadjusted p-value | Adjusted relative risk N=556 | Adjusted p-value |
|---|---|---|---|---|---|---|---|
| Age (years) | |||||||
| 18–34 | 167 (30) | 116 (69) | 51 (31) | 1.19 (1.02, 1.39) | 0.0263 | 1.20 (1.01, 1.41) | 0.0348 |
| 35–54 | 190 (34) | 107 (56) | 83 (44) | 0.97 (0.81, 1.15) | 0.6939 | 0.97 (0.81, 1.15) | 0.7109 |
| 55+ | 199 (36) | 116 (58) | 83 (42) | ref | - | ref | - |
| Gender | |||||||
| Women | 419 (75) | 265 (63) | 154 (37) | 1.17 (0.99, 1.39) | 0.0703 | 1.16 (0.97, 1.38) | 0.1006 |
| Men | 137 (25) | 74 (54) | 63 (46) | ref | - | ref | - |
| Region in Victoria | |||||||
| Regional Victoria | 101 (18) | 49 (49) | 52 (51) | 0.76 (0.62, 0.94) | 0.0117 | 0.78 (0.62, 0.97) | 0.0233 |
| Metropolitan Melbourne | 450 (82) | 287 (64) | 163 (36) | ref | - | ref | - |
| Country of birth | |||||||
| Overseas | 188 (34) | 113 (60) | 75 (40) | 0.98 (0.85, 1.13) | 0.7663 | 0.99 (0.85, 1.14) | 0.8531 |
| Australia | 368 (66) | 226 (61) | 142 (39) | ref | - | ref | - |
| Healthcare worker | |||||||
| Yes | 128 (23) | 79 (62) | 49 (38) | 1.02 (0.87, 1.19) | 0.8423 | 1.00 (0.85, 1.17) | 0.9843 |
| No | 428 (77) | 260 (61) | 168 (39) | ref | - | ref | - |
| Chronic health condition | |||||||
| Yes | 210 (38) | 136 (65) | 74 (35) | 1.10 (0.97, 1.26) | 0.1465 | 1.15 (1.00, 1.33) | 0.0482 |
| No | 346 (62) | 203 (59) | 143 (41) | ref | - | ref | - |
| Recruitment method | |||||||
| Seed | 305 (55) | 186 (61) | 119 (39) | 1.00 (0.88, 1.14) | 0.9947 | 0.98 (0.85, 1.12) | 0.7437 |
| Other | 251 (45) | 153 (61) | 98 (39) | ref | ref | ||
| Months in Optimise study (median, (IQR)) | 11 (6, 14) | 10 (6, 14) | 11 (6, 14) | 1.00 (0.99, 1.01) | 0.9623 | 1.00 (0.98, 1.01) | 0.8138 |
Covariates: Gender, country of birth, time in study, recruitment method.
Months in Optimise study: Number of months since recruitment into the Optimise Study.
Recruitment method: Whether participants were recruit via responding to advertising (“seed”) or referral from their social networks (“other”).
∗Bolded p-values represent <0.05.
Ref—reference category.