| Literature DB >> 23977048 |
Pauline Justumus1, Donn Colby, Thi Mai Doan Anh, Eric Balestre, Renaud Becquet, Joanna Orne-Gliemann.
Abstract
BACKGROUND: In Vietnam, men who have sex with men (MSM) are highly affected by HIV and need new targeted HIV prevention strategies.Entities:
Mesh:
Year: 2013 PMID: 23977048 PMCID: PMC3747213 DOI: 10.1371/journal.pone.0071471
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Willingness to use the Internet and types of Internet tools to seek information on HIV prevention and care of men who have sex with men, 2012, Vietnam.
| Characteristics | Number (%) (n = 222) | |
|
| Yes | 136 (61.3) |
| No | 86 (38.7) | |
|
| Yes | 169 (76.1) |
| No | 53 (23.9) | |
|
| Websites | 163 (91.4) |
| Missing | 6 | |
| Social Network | 120 (73.2) | |
| Missing | 5 | |
| Personal email box | 104 (64.2) | |
| Missing | 7 | |
| Chat room | 101 (62.7) | |
| Missing | 8 | |
|
| Websites | 146 (89.0) |
| Missing | 5 | |
| Website with HIV-infected people testimonies | 123 (75.0) | |
| Missing | 5 | |
| Social Network | 111 (68.9) | |
| Missing | 8 | |
| Chat room | 110 (67.9) | |
| Missing | 7 | |
| Personal email box | 106 (65.4) | |
| Missing | 7 |
Regarding potential Internet tools, question was: To seek information on HIV prevention/care, would you use.
-“A website where you can find what you need?”
- “A chat room where you can have instant message with a health worker?”
- “Your email box where you can receive HIV prevention/care information?”
- “Social networks like Facebook, Twitter, Pinterest, Foursquare, Tumblr?”
- “A website where you can read stories about people living with HIV?”
Figure 1Flow chart of data collection among men who have sex with men.
Factors associated with willingness to use the Internet to seek information on HIV prevention and care among men who have sex with men, 2012, Vietnam.
| Total MSM n = 203 | MSM willing to use the Internet for HIV n = 154 | MSM willing not to use the Internet for HIV n = 49 | Univariable logistic regression | Multivariable logistic regression Final model | ||||
| Factors | OR (95% CI) | p-value | aOR (95% CI) | p-value | ||||
|
| >22 years | 98 (48.3) | 73 (47.4) | 25 (51.0) | 1.00 | |||
| ≤22 years | 105 (51.7) | 81 (52.6) | 24 (49.0) | 1.15 (0.61, 2.20) | 0.66 | |||
|
| Kinh | 189 (93.1) | 147 (95.5) | 42 (85.7) | 1.00 | |||
| Hoa (Chinese) | 14 (6.9) | 7 (4.5) | 7 (14.3) | 0.85 (0.74, 0.98) | 0.02 | |||
|
| More than high school | 152 (74.9) | 116 (75.3) | 36 (73.5) | 1.00 | |||
| High school or less | 51 (25.1) | 38 (24.7) | 13 (26.5) | 0.90 (0.43, 1.88) | 0.79 | |||
|
| Homosexual | 172 (84.7) | 130 (84.4) | 42 (85.7) | 1.00 | |||
| Others | 31 (15.3) | 24 (15.6) | 7 (14.3) | 1.11 (0.44, 2.77) | 0.82 | |||
|
| >18 years | 100 (49.3) | 76 (49.4) | 24 (49.0) | 1.00 | |||
| ≤18 years | 103 (50.7) | 78 (50.6) | 25 (51.0) | 0.98 (0.51, 1.87) | 0.96 | |||
|
| >3 | 97 (47.8) | 67 (43.5) | 30 (61.2) | 1.00 | 1.00 | ||
| ≤3 | 106 (52.2) | 87 (56.5) | 19 (38.8) | 2.05 (1.06, 3.95) | 0.03 | 3.07 (1.40, 6.73) | 0.005 | |
|
| No | 182 (89.7) | 138 (89.6) | 44 (89.8) | 1.00 | |||
| Yes | 21 (10.3) | 16 (10.4) | 5 (10.2) | 1.02 (0.35, 2.94) | 0.97 | |||
|
| No | 121 (59.6) | 88 (57.1) | 33 (67.3) | 1.00 | |||
| Yes | 82 (40.4) | 66 (42.9) | 16 (32.7) | 1.50 (0.78, 2.88) | 0.20 | |||
|
| No | 118 (58.1) | 90 (58.4) | 28 (57.1) | 1.00 | |||
| Yes | 85 (41.9) | 64 (41.6) | 21 (42.9) | 0.94 (0.49, 1.81) | 0.87 | |||
|
| No | 14 (6.9) | 12 (7.8) | 2 (4.1) | 1.00 | |||
| Yes | 189 (93.1) | 142 (92.2) | 47 (95.9) | 0.50 (0.10, 2.33) | 0.38 | |||
|
| No | 140 (69.0) | 107 (69.5) | 33 (67.3) | 1.00 | |||
| Yes | 63 (31.0) | 47 (30.5) | 16 (32.7) | 0.90 (0.45, 1.80) | 0.77 | |||
|
| No | 130 (64.0) | 98 (63.6) | 32 (65.3) | 1.00 | |||
| Yes | 73 (36.0) | 56 (36.4) | 17 (34.7) | 1.07 (0.54, 2.11) | 0.83 | |||
|
| No | 127 (62.6) | 95 (61.7) | 32 (65.3) | 1.00 | |||
| Yes | 76 (37.4) | 59 (38.3) | 17 (34.2) | 1.16 (0.59, 2.28) | 0.64 | |||
|
| No | 148 (72.9) | 102 (66.2) | 46 (93.9) | 1.00 | 1.00 | ||
| Yes | 55 (27.1) | 52 (33.8) | 3 (6.1) | 7.81 (2.32, 26.33) | <0.01 | 4.10 (1.02, 16.48) | 0.04 | |
|
| No | 115 (56.7) | 73 (47.4) | 42 (85.7) | 1.00 | 1.00 | ||
| Yes | 88 (43.3) | 81 (52.6) | 7 (14.3) | 6.65 (2.81, 15.73) | <0.01 | 3.23 (1.20, 8.64) | 0.02 | |
|
| No | 143 (70.4) | 100 (64.9) | 43 (87.8) | 1.00 | |||
| Yes | 60 (29.6) | 54 (35.1) | 6 (12.2) | 3.87 (1.54, 9.67) | <0.01 | |||
|
| No | 117 (57.6) | 96 (62.3) | 21 (42.9) | 1.00 | |||
| Yes | 86 (42.4) | 58 (37.7) | 28 (57.1) | 0.45 (0.23, 0.87) | 0.01 | |||
|
| No | 38 (18.7) | 25 (16.2) | 13 (26.5) | 1.00 | |||
| Yes | 165 (81.3) | 129 (83.8) | 36 (73.5) | 1.86 (0.86, 4.00) | 0.11 | |||
|
| No | 163 (80.3) | 125 (81.2) | 38 (77.6) | 1.00 | |||
| Yes | 40 (19.7) | 29 (18.8) | 11 (22.4) | 0.80 (0.36, 1.75) | 0.57 | |||
|
| No | 54 (26.6) | 33 (21.4) | 21 (42.9) | 1.00 | 1.00 | ||
| Yes | 149 (73.4) | 121 (78.6) | 28 (57.1) | 2.75 (1.38, 5.45) | <0.01 | 3.56 (1.55, 8.18) | 0.002 | |
Univariable and adjusted multivariable logistic regression.
OR: odds ratio; CI: confidence interval; aOR: adjusted odds ratio.
The HIV knowledge questions were: 1. A person HIV infected can look healthy outside. 2. HIV can be transmitted by eating a meal with an HIV infected person. 3. A person can get HIV by having anal sex with an HIV infected person. 4. The risk for HIV infection can be reduced by having sex with an uninfected person. 5. The risk for HIV infection can be reduced by always using condoms for anal sex. 6. Showering or washing one's genital /private parts after sex prevents a person from getting HIV. 7. Using Vaseline or baby oil with condoms lowers the chance of getting HIV.