Table 4. Demographics of individuals within and outside a respiratory symptom cluster, Adelaide, Australia (June 2007–August 2008a) (n = 1235).
| Demographic characteristics | People in cluster n = 929 (%) |
People with sporadic respiratory symptoms n = 84 (%) |
People with no respiratory symptoms n = 220 (%) |
Risk ratiob (95% CI) |
P value |
| Sex | |||||
| Male | 465 (50) | 39 (46) | 121 (55) | 1.00 | — |
| Female | 464 (50) | 45 (54) | 101 (46) | 1.02 (0.96, 1.10) | 0.457 |
| Age | |||||
| <5 years | 118 (13) | 7 (8) | 7 (3) | 1.24 (1.15, 1.34) | <0.001 |
| 5 to 15 years | 369 (40) | 38 (45) | 82 (37) | 1.05 (0.99, 1.11) | 0.102 |
| >15 years | 442 (48) | 39 (46) | 1433 (60) | 1.00 | — |
| Attending educational institution | |||||
| Child care/kindergarten | 87 (9) | 7 (8) | 4 (2) | 1.21 (1.11, 1.32) | <0.001 |
| Attending primary school or higher educational institution | 432 (47) | 44 (52) | 100 (45) | 1.03 (0.97, 1.09) | 0.84 |
| Not attending any educational institution | 410 (44) | 33 (39) | 118 (53) | 1.00 | — |
aCluster was defined as >1 person in a household having respiratory symptoms during the current or previous week.
bRisk ratios for being in a cluster vs not being in cluster (people with sporadic and no respiratory symptoms combined), using binary regression adjusted for clustered family design.