Table 4.
Demographic and health characteristics among travellers to high-risk countries who did or did not seek pre-travel care, New Jersey, 2011
| Pre-travel care mean (SE) or n (row %) |
||||
|---|---|---|---|---|
| Demographic characteristics | Yes (n = 45) | No (n = 104) | cORa (95% CI) | P |
| Mean age, years (SE) | 48.4 (2.3) | 50.7 (1.5) | - | 0.44 |
| Sex | ||||
| Female (n = 83) | 24 (29) | 59 (71) | 0.81 (0.37, 1.74) | 0.58 |
| Male (n = 66) | 21 (32) | 45 (68) | ||
| Purpose of travel | ||||
| Vacation/leisure (n = 68) | 19 (28) | 49(72) | - | 0.35 |
| VFRb (n = 60) | 16 (27) | 44 (73) | ||
| Business (n = 15) | 7 (47) | 8 (53) | ||
| Otherc (n = 6) | 3 (50) | 3 (50) | ||
| Location of birth | ||||
| Foreign-born (n = 85) | 25 (29) | 60 (71) | 1.01 (0.46, 2.24) | 0.97 |
| US-born (n = 64) | 20 (31) | 44 (69) | ||
| Employment | ||||
| Not currently working (n = 46) | 16 (35) | 30 (65) | 1.2 (0.53, 2.70) | 0.66 |
| Working (n = 93) | 29 (28) | 74 (72) | ||
| Education | ||||
| ≥4 years of college (n = 95) | 32 (34) | 63 (66) | 1.4 (0.61, 3.18) | 0.42 |
| <4 years of college (n = 54) | 13 (24) | 41 (76) | ||
| Income | ||||
| ≥75 000 (n = 78) | 28 (36) | 50 (64) | 2.26 (0.99, 5.1) | 0.05 |
| <75 000 (n = 60) | 15 (25) | 45 (75) | ||
| Children | ||||
| Children (n = 68) | 23 (34) | 45 (66) | 1.51 (0.68, 3.33) | 0.31 |
| No children (n = 79) | 22 (28) | 57 (72) | ||
| Health characteristics | ||||
| Current health coveraged | ||||
| Yes (n = 137) | 43 (31) | 94 (69) | 3.45 (0.69, 17.17) | 0.11 |
| No (n = 12) | 2 (17) | 10 (83) | ||
| Current physical, mental or emotional disability | ||||
| Yes (n = 19) | 8 (42) | 11 (58) | 1.64 (0.55, 4.90) | 0.37 |
| No (n = 130) | 37 (28) | 93 (72) | ||
| Acquired illness abroad | ||||
| Yes (n = 21) | 6 (29) | 15 (71) | 0.56 (0.18, 1.80) | 0.32 |
| No (n = 128) | 39 (30) | 89 (70) | ||
| Flu vaccine in last 12 months | ||||
| Yes (n = 53) | 19 (36) | 34 (64) | 1.76 (0.79, 3.95) | 0.16 |
| No (n = 96) | 26 (27) | 70 (73) | ||
a
Crude odds ratio.
b
The purpose of travel variable was also dichotomized into VFRs and non-VFRs. An additional bivariate analysis and multiple logistic regression model were assessed, P = 0.17 and 0.14, respectively.
c
Includes those travelling for volunteer/missionary purposes (3), health/medical treatment (1), research/study (1) or another purpose (1).
d
Includes health insurance, prepaid plans such as HMOs, or government health plans such as Medicare or Indian Health Services.