| Literature DB >> 22550996 |
Anita E Heywood1, Rochelle E Watkins, Sopon Iamsirithaworn, Kessarawan Nilvarangkul, C Raina MacIntyre.
Abstract
BACKGROUND: Pre-travel health assessments aim to promote risk reduction through preventive measures and safe behavior, including ensuring travelers are up-to-date with their immunizations. However, studies assessing pre-travel health-seeking practices from a variety of medical and non-medical sources and vaccine uptake prior to travel to both developing and developed countries within the Asia-Pacific region are scarce.Entities:
Mesh:
Year: 2012 PMID: 22550996 PMCID: PMC3441818 DOI: 10.1186/1471-2458-12-321
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Traveler and trip characteristics by traveler region of residence (N = 808*)
| | | | | |
| 16–35 years | 185 (48.2%) | 144 (72.4%) | 133 (59.1%) | <0.001 |
| 36–55 years | 124 (32.3%) | 29 (14.6%) | 69 (30.7%) | |
| >55 years | 74 (19.3%) | 26 (13.1%) | 23 (10.2%) | |
| 165 (43.0%) | 106 (53.3%) | 111 (49.3%) | 0.05 | |
| 206 (53.6%) | 53 (26.6%) | 107 (47.6%) | <0.001 | |
| 212 (55.2%) | 175 (87.9%) | 200 (88.9%) | <0.001 | |
| | | | | |
| ≤High school | 78 (20.3%) | 41 (20.6%) | 44 (19.6%) | 0.01 |
| Tertiary trade/diploma | 117 (30.5%) | 51 (25.6%) | 39 (17.3%) | |
| ≥University bachelor degree | 181 (47.1%) | 104 (52.3%) | 138 (61.3%) | |
| 38 (9.9%) | 56 (28.1%) | 81 (36.0%) | <0.001 | |
| | | | | |
| Holiday | 170 (44.3%) | 118 (59.3%) | 58 (25.8%) | <0.001 |
| Business/employment | 82 (21.4%) | 33 (16.6%) | 52 (23.1%) | |
| Visiting friends/relatives (VFR) | 99 (25.8%) | 26 (13.1%) | 68 (30.2%) | |
| Other/not stated | 33 (8.6%) | 21 (10.6%) | 47 (20.9%) | |
| | | | | |
| <2 weeks | 148 (38.5%) | 36 (18.1%) | 79 (35.1%) | <0.001 |
| 2 weeks - <3 months | 183 (47.7%) | 98 (49.2%) | 56 (24.9%) | |
| 3 months or more | 48 (12.5%) | 64 (32.2%) | 87 (38.7%) | |
| | | | | |
| Traveling alone | 200 (52.1%) | 92 (46.2%) | 126 (56.0%) | 0.06 |
| Traveling with children (<16 years) | 29 (7.6%) | 29 (14.6%) | 14 (6.2%) | 0.01 |
| 138 (35.9%) | 178 (89.4%) | 90 (40.0%) | <0.001 | |
| | | | | |
| Australia | - | 199 (100.0%) | 225 (100%) | - |
| Cambodia | 8 (2.2%) | 7 (3.3%) | 2 (1.0%) | |
| China | 39 (10.0%) | 14 (7.3%) | 17 (7.5%) | |
| Hong Kong | 60 (15.5%) | 22 (11.1%) | 16 (6.9%) | |
| Indonesia | 21 (5.6%) | 4 (2.0%) | 3 (1.3%) | |
| Japan | 4 (1.0%) | 6 (3.2%) | 6 (2.7%) | |
| South Korea | 0 (0.0%) | 1 (0.6%) | 6 (2.7%) | |
| Laos | 6 (1.5%) | 3 (1.5%) | 2 (1.0%) | |
| Malaysia | 51 (13.2%) | 10 (5.2%) | 16 (6.9%) | |
| Philippines | 13 (3.4%) | 0 (0.0%) | 6 (2.5%) | |
| Singapore | 119 (31.1%) | 81 (40.7%) | 38 (17.0%) | |
| Thailand | 90 (23.4%) | 48 (23.9%) | 18 (7.9%) | |
| Vietnam | 16 (4.3%) | 5 (2.4%) | 5 (2.2%) | |
| India | 5 (1.2%) | 5 (2.4%) | 9 (3.9%) | |
| Europe | 80 (20.7%) | 52 (26.2%) | 7 (3.3%) | |
| New Zealand | 4 (1.0%) | 25 (12.5%) | 4 (2.0%) | |
| Other | 53 (13.8%) | 52 (26.1%) | 9 (3.9%) | |
* Excludes travelers from other regions (n = 35).
† Other Western travelers includes residents of New Zealand, North America and Europe.
‡ 70.7% of Australian VFR travels were foreign-born Australians.
¶ Multiple destinations reported.
Reported pre-travel-health behaviors and vaccine uptake by traveler region of residence (N = 808*)
| 265 (69.0%)a | 130 (65.3%) a | 117 (52.0%) | |
| Any health professional† | 158 (41.1%) a | 76 (38.2%) a | 52 (23.1%) |
| General practitioner | 129 (33.6%) a | 55 (27.6%) | 46 (20.4%) |
| Travel doctor/clinic | 13 (3.4%) b | 17 (8.5%) a | 5 (2.2%) |
| Other health professional | 17 (4.4%) | 7 (3.5%) | 2 (0.9%) |
| Any non-medical source† | 122 (31.8%)b | 93 (46.7%) a | 62 (27.6%) |
| Travel agent | 45 (11.7%) b | 36 (18.1%) | 30 (13.3%) |
| Researched on the internet | 46 (12.0%) a b | 43 (21.6%) a | 12 (5.3%) |
| Government travel advisory | 28 (7.3%) b | 26 (13.1%) | 17 (7.6%) |
| Other source | 17 (4.4%) | 11 (5.5%) | 7 (3.1%) |
| None | 181 (47.1%) a | 90 (45.2%) a | 140 (62.2%) |
| Health professional only | 82 (21.4%) | 16 (8.0%) | 23 (10.2%) |
| Health professional/other source | 76 (19.8%) | 61 (30.7%) | 28 (12.4%) |
| Other source only | 45 (11.7%) | 32 (16.1%) | 34 (15.1%) |
| | | | |
| Any pre-travel vaccine† | 46 (12.0%) a b | 43 (21.6%) a | 11 (4.9%) |
| Two or more vaccines | 26 (6.8%) a b | 30 (15.1%) a | 5 (2.2%) |
| Hepatitis A | 24 (6.3%) | 30 (15.1%) | 4 (1.8%) |
| Hepatitis B | 19 (4.9%) | 23 (11.6%) | 4 (1.8%) |
| Tetanus | 11 (2.9%) | 16 (8.0%) | 0 (0.0%) |
| Typhoid | 17 (4.4%) | 10 (5.0%) | 2 (0.9%) |
| Influenza | 16 (4.2%) | 2 (1.0%) | 6 (2.7%) |
| Measles/mumps/rubella | 6 (1.6%) | 2 (1.0%) | 2 (0.9%) |
| Polio | 7 (1.8%) | 4 (2.0%) | 0 (0.0%) |
| Cholera | 5 (1.3%) | 1 (0.5%) | 1 (0.4%) |
* Excludes travelers from other regions (n = 35).
† Multiple responses allowed.
a % reporting outcome is significantly different to proportion reported by Asian travelers (p < 0.05).
b % reporting outcome is significantly different to proportion reported by other Western travelers (p < 0.05).
Independent predictors of seeking professional pre-travel health advice, by traveler region of residence
| | |||
| | | | |
| 16–35 years | 73/185 (39.5%) | 1.3 (0.8–2.4) | 0.3 |
| 36–55 years | 43/124 (34.7%) | 1 | |
| >55 years | 41/74 (55.4%) | 2.0 (1.0–3.9) | 0.05 |
| | | | |
| Male | 74/218 (33.9%) | 1 | |
| Female | 83/165 (50.3%) | 1.75 (1.1–2.9) | 0.03 |
| | | | |
| Married | 98/205 (47.8%) | 1 | |
| Not married | 54/163 (33.1%) | 1.81 (1.1–3.0) | 0.03 |
| No | 55/169 (32.5%) | 1 | |
| Yes | 100/212 (47.2%) | 2.03 (1.3–3.3) | 0.004 |
| | | | |
| No | 145/314 (46.2%) | 2.38 (1.1–5.0) | 0.02 |
| Yes | 12/69 (17.4%) | 1 | |
| | | | |
| No | 112/292 (38.4%) | 1 | |
| Yes | 46/92 (50.0%) | 2.56 (1.6–4.2) | <0.001 |
| | | | |
| <2 weeks, | 7/35 (20.0%) | 1 | |
| 2 weeks - <3 months | 35/99 (35.4%) | 1.80 (0.9–3.8) | 0.1 |
| 3 months or more | 34/64 (53.1%) | 2.63 (1.3–5.4) | 0.009 |
| No | 16/68 (23.5%) | 1 | |
| Yes | 60/130 (46.2%) | 2.37 (1.2–4.7) | 0.01 |
| | |||
| | | | |
| 16–55 years | 41/201 (20.4%) | 1 | |
| >55 years | 10/23 (43.5%) | 3.47 (1.3–9.0) | 0.01 |
| | | | |
| Male | 16/115 (13.9%) | 1 | |
| Female | 36/111 (32.4%) | 2.73 (1.4–5.4) | 0.004 |
| One | 22/134 (16.4%) | 1 | |
| Two or more | 29/90 (32.2%) | 2.38 (1.2–4.6) | 0.01 |
* Adjusted for other variables included in the logistic regression model.