| Literature DB >> 32959762 |
Erica Rapheal1, Steven T Stoddard2, Kathryn B Anderson1,3,4,5.
Abstract
U.S. residents traveling internationally to regions with increased risk of infectious diseases infrequently seek pretravel health care. First- and second-generation immigrants traveling to their countries of origin and visiting friends and relatives (VFRs) have increased risk of certain infectious diseases and are more likely to participate in high-risk activities. In an online survey of 994 U.S. residents with two foreign-born parents who went on at least one international trip to an at-risk country (defined as having a typhoid vaccine recommendation) in the prior 3 years, respondents were questioned about their international travel over the previous 3 years and their knowledge and individual risk of disease. Participants reported infrequently seeking pretravel health information (32% of trips) or consulting a healthcare provider before their trips (15% of trips). Participants reported seeking pretravel health information less often for VFR trips home (22%) than to other regions (30%). Perceived risk of disease was directly associated with seeking pretravel health information (82% for the highest and 13% for the lowest perceived risk), consulting a healthcare provider (55% for the highest and 5% for the lowest perceived risk), and reporting travel-associated illness (54% for the highest and 10% for the lowest perceived risk). Respondents were generally knowledgeable about cholera, hepatitis B, malaria, and rabies but had low knowledge of hepatitis A and typhoid. Understanding where VFR travelers lack understanding of disease transmission and which travelers are ideal targets for interventions has the potential to shape physician recommendations and public health strategy in this vulnerable population.Entities:
Mesh:
Year: 2020 PMID: 32959762 PMCID: PMC7695092 DOI: 10.4269/ajtmh.20-0508
Source DB: PubMed Journal: Am J Trop Med Hyg ISSN: 0002-9637 Impact factor: 3.707
Pretravel health behavior and outcomes based on demographics
| Sought pretravel health information before any trip | Consulted with healthcare provider before any trip | Travel-associated illness on any trip | |||||||
|---|---|---|---|---|---|---|---|---|---|
| No ( | Yes ( | No ( | Yes ( | No ( | Yes ( | ||||
| Age-group (years) | 0.017 | 0.2474 | 0.0018 | ||||||
| 26–50 | 475 (66) | 250 (34) | 610 (84) | 115 (16) | 524 (72) | 201 (28) | |||
| 51–65 | 127 (77) | 39 (23) | 148 (89) | 18 (11) | 142 (86) | 24 (14) | |||
| 65+ | 57 (72) | 22 (28) | 66 (84) | 13 (16) | 60 (76) | 19 (24) | |||
| Gender | 0.73 | 0.4352 | 0.8305 | ||||||
| Female | 341 (68) | 162 (32) | 425 (84) | 78 (16) | 384 (76) | 119 (24) | |||
| Male | 224 (69) | 101 (31) | 281 (86) | 44 (14) | 246 (76) | 79 (24) | |||
| Education level | 0.0014 | 0.1982 | 0.0582 | ||||||
| Advanced Intl. | 93 (67) | 46 (33) | 115 (83) | 24 (17) | 103 (74) | 36 (26) | |||
| Advanced U.S. | 162 (65) | 88 (35) | 207 (83) | 43 (17) | 172 (69) | 78 (31) | |||
| College Intl. | 143 (73) | 54 (27) | 173 (88) | 24 (12) | 153 (78) | 44 (22) | |||
| College U.S. | 176 (62) | 107 (38) | 236 (83) | 47 (17) | 213 (75) | 70 (25) | |||
| ≤ High school Intl. | 48 (86) | 8 (14) | 52 (93) | 4 (7) | 46 (82) | 10 (18) | |||
| ≤ High school U.S. | 37 (82) | 8 (18) | 41 (91) | 4 (9) | 39 (87) | 6 (13) | |||
| Immigrant status | 0.0036 | 0.1172 | 0.1218 | ||||||
| Immigrant | 587 (70) | 256 (30) | 722 (86) | 121 (14) | 638 (76) | 205 (24) | |||
| Nonimmigrant | 72 (57) | 55 (43) | 102 (80) | 25 (20) | 88 (69) | 39 (31) | |||
| Health insurance type | 0.025 | 0.0181 | 0.3064 | ||||||
| Commercial/EMP | 403 (66) | 208 (34) | 509 (83) | 102 (17) | 449 (73) | 162 (27) | |||
| Commercial/other | 79 (71) | 32 (29) | 97 (87) | 14 (13) | 91 (82) | 20 (18) | |||
| Medicare/government | 127 (67) | 62 (33) | 460 (94) | 29 (6) | 142 (75) | 47 (25) | |||
| No insurance | 50 (85) | 9 (15) | 58 (98) | 1 (2) | 44 (75) | 15 (25) | |||
EMP = employer; Intl. = international.
Gender contains 142 missing values.
Pretravel health behaviors and outcomes for individual trips
| Sought pretravel health information | Consulted with healthcare provider before travel | Trip-associated illness | |||||||
|---|---|---|---|---|---|---|---|---|---|
| No ( | Yes ( | No ( | Yes ( | No ( | Yes ( | ||||
| Region of travel | < 0.0001 | < 0.0001 | 0.0465 | ||||||
| Africa | 38 (48) | 41 (52) | 48 (61) | 31 (39) | 58 (73) | 21 (27) | |||
| Eastern Asia | 357 (78) | 102 (22) | 401 (87) | 58 (13) | 391 (85) | 68 (15) | |||
| Latin America and the Caribbean | 525 (82) | 113 (18) | 591 (93) | 47 (7) | 536 (84) | 102 (16) | |||
| South Asia | 188 (75) | 63 (25) | 314 (79) | 86 (22) | 196 (78) | 55 (22) | |||
| Southeast Asia | 275 (69) | 125 (31) | 301 (88) | 41 (12) | 331 (83) | 69 (17) | |||
| Other Western countries | 261 (76) | 81 (24) | 213 (85) | 38 (15) | 282 (82) | 60 (18) | |||
| Visiting friend and relative trip home | < 0.0001 | 0.0023 | 0.0084 | ||||||
| Yes | 1,190 (78) | 327 (22) | 539 (83) | 113 (17) | 1,276 (84) | 241 (16) | |||
| No | 454 (70) | 198 (30) | 1,329 (88) | 188 (12) | 518 (79) | 134 (21) | |||
| Purpose of travel | < 0.0001 | 0.0523 | 0.359 | ||||||
| Tourism | 530 (70) | 228 (30) | 640 (84) | 118 (16) | 615 (81) | 143 (19) | |||
| Visit only | 1,060 (80) | 269 (20) | 1,162 (87) | 167 (13) | 1,111 (84) | 218 (16) | |||
| Work/study | 54 (66) | 28 (34) | 66 (80) | 16 (20) | 68 (83) | 14 (17) | |||
| Perceived risk (1 = low and 5 = high) | < 0.0001 | < 0.0001 | < 0.0001 | ||||||
| 1 | 997 (87) | 147 (13) | 1,063 (95) | 61 (5) | 1,026 (90) | 118 (10) | |||
| 2 | 336 (71) | 136 (29) | 396 (84) | 76 (16) | 394 (83) | 78 (17) | |||
| 3 | 230 (61) | 144 (39) | 282 (75) | 92 (25) | 276 (74) | 98 (26) | |||
| 4 | 75 (51) | 71 (49) | 92 (63) | 54 (37) | 83 (57) | 63 (43) | |||
| 5 | 6 (18) | 27 (82) | 15 (45) | 18 (54) | 15 (45) | 18 (55) | |||
| Travel companions | < 0.0001 | < 0.0001 | < 0.0001 | ||||||
| None | 556 (87) | 86 (13) | 598 (93) | 44 (7) | 597 (93) | 45 (7) | |||
| Children | 446 (69) | 204 (31) | 526 (81) | 124 (19) | 495 (76) | 155 (24) | |||
| Non-related adults | 51 (65) | 28 (35) | 64 (81) | 15 (19) | 61 (77) | 18 (23) | |||
| Other family | 184 (74) | 66 (26) | 211 (84) | 39 (16) | 199 (80) | 51 (20) | |||
| Spouse | 407 (74) | 141 (26) | 469 (86) | 79 (14) | 442 (81) | 106 (19) | |||
| Time spent preparing for trip (months) | < 0.0001 | < 0.0001 | 0.517 | ||||||
| 0–2 | 658 (82) | 149 (18) | 729 (90) | 78 (10) | 673 (83) | 134 (17) | |||
| 3+ | 986 (72) | 376 (28) | 1,139 (84) | 223 (16) | 1,121 (82) | 241 (18) | |||
Self-reported knowledge of disease
| Demonstrated knowledge of transmission | Self-reported knowledge of disease | |||
|---|---|---|---|---|
| High, | Low, | Total, | ||
| Cholera | 0.015 | |||
| Right | 571 (80) | 129 (72) | 700 (79) | |
| Wrong | 139 (20) | 50 (28) | 189 (21) | |
| Hepatitis A | 0.0019 | |||
| Right | 262 (32) | 22 (18) | 284 (30) | |
| Wrong | 560 (68) | 100 (82) | 660 (70) | |
| Hepatitis B | 0.80 | |||
| Right | 627 (74) | 89 (75) | 716 (74) | |
| Wrong | 224 (26) | 30 (25) | 254 (26) | |
| Malaria | 0.0037 | |||
| Right | 522 (79) | 47 (64) | 569 (77) | |
| Wrong | 143 (22) | 27 (36) | 170 (23) | |
| Tuberculosis | 0.024 | |||
| Right | 378 (58) | 37 (45) | 415 (56) | |
| Wrong | 278 (42) | 46 (55) | 324 (44) | |
| Typhoid | 0.0002 | |||
| Right | 348 (45) | 52 (30) | 400 (42) | |
| Wrong | 422 (55) | 122 (70) | 544 (58) | |
| Rabies | 0.0088 | |||
| Right | 681 (83) | 84 (72) | 765 (81) | |
| Wrong | 144 (17) | 32 (28) | 176 (19) | |
| Japanese encephalitis | 0.0007 | |||
| Right | 97 (47) | 51 (30) | 148 (39) | |
| Wrong | 109 (53) | 119 (70) | 228 (61) | |
High = 3, 4, or 5; low = 1 or 2.
Logistic regression model of any pretravel care seeking for individual trips
| Variable | Estimate | 95% CI | Pr > |Z| | Pr > ChiSq | |
|---|---|---|---|---|---|
| VFR trip home | |||||
| Intercept | −3.2 | −4.0 | −2.5 | < 0.0001 | |
| Age-group (years) | |||||
| 26–50 | 0.30 | −0.32 | 0.92 | 0.34 | |
| 65+ | 0.017 | −0.71 | 0.74 | 0.96 | |
| 51–65 | REF | 0.38 | |||
| Gender | |||||
| Female | 0.10 | −0.25 | 0.45 | 0.57 | |
| Male | REF | 0.57 | |||
| Purpose of travel | |||||
| Tourism | 0.30 | −0.018 | 0.61 | 0.06 | |
| Work/study | 0.51 | −0.097 | 1.1 | 0.10 | |
| Visit only | REF | 0.073 | |||
| Region of travel | |||||
| Africa | 1.7 | 0.87 | 2.6 | < 0.0001 | |
| Asia | 0.86 | 0.45 | 1.3 | < 0.0001 | |
| Latin American and the Caribbean | REF | < 0.0001 | |||
| Travel companions | |||||
| Other adults | 0.79 | 0.41 | 1.2 | < 0.0001 | |
| Children | 1.0 | 0.60 | 1.4 | < 0.0001 | |
| None | REF | < 0.0001 | |||
| Time spent planning trip (months) | |||||
| 3+ | 0.32 | 0.036 | 0.61 | 0.03 | |
| 0–2 | REF | 0.028 | |||
| All trips | |||||
| Intercept | −3.0 | −3.7 | −2.3 | < 0.0001 | |
| VFR trip home | |||||
| No | 0.47 | 0.18 | 0.76 | 0.00 | |
| Yes | REF | 0.001 | |||
| Age-group (years) | |||||
| 26–50 | 0.40 | −0.019 | 0.81 | 0.06 | |
| 65+ | 0.01 | −0.62 | 0.65 | 0.97 | |
| 51–65 | REF | 0.093 | |||
| Gender | |||||
| Female | 0.15 | −0.15 | 0.45 | 0.32 | |
| Male | REF | 0.32 | |||
| Purpose of travel | |||||
| Tourism | 0.074 | −0.18 | 0.33 | 0.56 | |
| Work/study | 0.61 | 0.04 | 1.2 | 0.04 | |
| Visit only | REF | 0.11 | |||
| Region of travel | |||||
| Africa | 1.3 | 0.52 | 2.02 | 0.00 | |
| Asia | 0.76 | 0.29 | 1.23 | 0.00 | |
| Latin America and the Caribbean | 0.16 | −0.35 | 0.67 | 0.53 | |
| Other Western countries | REF | < 0.0001 | |||
| Travel companions | |||||
| Other adults | 0.59 | 0.29 | 0.89 | 0.00 | |
| Children | 0.77 | 0.44 | 1.10 | < 0.0001 | |
| None | REF | < 0.0001 | |||
| Time spent planning trip (months) | |||||
| 3+ | 0.31 | 0.065 | 0.55 | 0.01 | |
| 0–2 | REF | 0.013 | |||
VFR = visiting friend and relative.
Pr > ChiSq represents overall association for a given variable.
Logistic regression model of reported post-travel illness for individual trips
| Variable | Estimate | 95% CI | Pr > |Z| | Pr > ChiSq | |
|---|---|---|---|---|---|
| VFR trip home | |||||
| Intercept | −3.8 | −4.9 | −2.7 | < 0.0001 | |
| Age-group (years) | |||||
| 26–50 | 0.63 | 0.041 | 1.2 | 0.036 | |
| 65+ | 0.36 | 0.48 | 1.2 | 0.40 | |
| 51–65 | REF | 0.092 | |||
| Gender | |||||
| Male | 0.013 | −0.37 | 0.39 | 0.95 | |
| Female | REF | 0.95 | |||
| Region of travel | |||||
| Africa | 1.17 | 0.29 | 2.1 | 0.010 | |
| Asia | 0.95 | 0.056 | 1.8 | 0.037 | |
| Latin American and the Caribbean | REF | 0.78 | |||
| Travel companions | |||||
| Other adults | 0.30 | −0.82 | 1.41 | 0.60 | |
| Children | 0.13 | −0.29 | 0.54 | 0.56 | |
| None | REF | < 0.0001 | |||
| Purpose of travel | |||||
| Tourism | 0.86 | 0.38 | 1.3 | 0.000 | |
| Visit only | 1.1 | 6.0 | 1.6 | < 0.0001 | |
| Work/study | REF | 0.024 | |||
| Sought pretravel care | |||||
| Yes | 0.345 | −0.047 | 0.73 | 0.084 | |
| No | REF | 0.084 | |||
| All trips | |||||
| Intercept | −4.03 | −4.93 | −3.12 | < 0.0001 | |
| VFR trip home | |||||
| No | 1.08 | −0.27 | 2.43 | 0.12 | |
| Yes | REF | 0.11 | |||
| Age-group (years) | |||||
| 26–50 | 0.73 | 0.23 | 1.2 | 0.004 | |
| 65+ | 0.55 | −0.16 | 1.3 | 0.13 | |
| 51–65 | REF | 0.016 | |||
| Gender | |||||
| Female | 0.006 | −0.32 | 0.33 | 0.97 | |
| Male | REF | 0.97 | |||
| Purpose of travel | |||||
| Tourism | 1.1 | 0.36 | 1.8 | 0.004 | |
| Work/study | 0.86 | 0.12 | 1.6 | 0.023 | |
| Visit only | REF | 0.49 | |||
| Travel companions | |||||
| Other adults | 0.83 | 0.43 | 1.2 | < 0.0001 | |
| Children | 1.125 | 0.71 | 1.5 | < 0.0001 | |
| None | REF | < 0.0001 | |||
| Sought pretravel care | |||||
| Yes | 0.31 | 0.065 | 0.55 | 0.01 | |
| No | REF | 0.013 | |||
| Purpose of trip home | |||||
| Other trips tourism | −1.3 | −2.63 | 0.11 | 0.072 | |
| Other trips visit only | −0.78 | −2.21 | 0.65 | 0.28 | |
| Other trips work/study | REF | ||||
| VFR trip home tourism | REF | ||||
| VFR trip home visit only | REF | ||||
| VFR trip home work/study | REF | 0.054 | |||
VFR = visiting friend and relative.
Pr > ChiSq represents overall association for a given variable.