Participants | Non-participants | χ2 for diff | p Value | |||
n | % | n | % | |||
Total | 869 | 100 | 1626 | 100 | ||
Sex | ||||||
Males | 471 | 54 | 960 | 59 | 5.42 | 0.02 |
Female | 398 | 46 | 666 | 41 | ||
Injury type | ||||||
Musculoskeletal | 678 | 78 | 1296 | 80 | 0.97 | 0.32 |
Psychological | 191 | 22 | 330 | 20 | ||
Age group | ||||||
18–24 years | 54 | 6 | 104 | 6 | 1.19 | 0.88 |
25–34 years | 159 | 18 | 309 | 19 | ||
35–44 years | 204 | 23 | 389 | 24 | ||
45–54 years | 267 | 31 | 466 | 29 | ||
55+ years | 185 | 21 | 358 | 22 | ||
Employment type | ||||||
Full time | 577 | 66 | 1144 | 70 | 5.60 | 0.06 |
Part time | 184 | 21 | 283 | 17 | ||
Other | 108 | 12 | 199 | 12 | ||
Industry† | ||||||
Accommodation, food, arts and recreation services | 47 | 6 | 97 | 6 | 35.8 | 0.0003 |
Admin, prof, scientific and tech | 42 | 5 | 105 | 6 | ||
Construction | 58 | 7 | 173 | 11 | ||
Other goods industries | 23 | 3 | 56 | 3 | ||
Education and training | 39 | 5 | 71 | 4 | ||
Financial and real estate | 16 | 2 | 23 | 1 | ||
Healthcare and social assistance | 215 | 27 | 317 | 19 | ||
Manufacturing | 102 | 13 | 263 | 16 | ||
Public administration and safety | 65 | 8 | 105 | 6 | ||
Retail trade | 45 | 6 | 104 | 6 | ||
Transport and warehousing | 62 | 8 | 166 | 10 | ||
Wholesale trade | 45 | 6 | 101 | 6 | ||
Other service industries | 31 | 4 | 45 | 3 |
*Source population refers to a random sample of all relevant claims in line with the study criteria during the period of observation.
†For participants, industry information is only available for the 790 respondents (91%) who agreed to have their survey data linked to their administrative claim record.