| Literature DB >> 24373483 |
Macarena Cecilia García1, Quyen Le Duong, Licelot Eralte Mercer, Samantha Beth Meyer, Paul Russell Ward.
Abstract
BACKGROUND: Men who have sex with men in Viet Nam have been under-studied as a high-risk group for HIV infection, and this population's percentage and determinants of HIV testing have not been comprehensively investigated.Entities:
Mesh:
Year: 2013 PMID: 24373483 PMCID: PMC3877867 DOI: 10.1186/1471-2458-13-1236
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
inclusion criteria (N = 5,128)
| Vietnamese citizen residing in Viet Nam | 88.9 (4561) |
| Male (Identity) | 88.7 (4546) |
| Male (Biological) | 84.1 (4314) |
| Past Research Participation | 81.9 (4202) |
| 18 Years or Older | 78.2 (4008) |
| Intercourse with Men (≤ 12 mos) | 56.0 (2872) |
Demographics
| Sex | Male | 96.1 (1996/2077) |
| | Male-to-female (sex change) | 0 (1/2077) |
| | Intersex or transgender | 3.9 (80/2077) |
| Age† | 18–20 | 30.3 (628/2074) |
| (years) | 21–25 | 41.1 (852/2074) |
| | 26–30 | 15.5 (322/2074) |
| | 31–35 | 7.1 (147/2074) |
| | 36–40 | 3.2 (66/2074) |
| | Older than 40 | 2.8 (59/2074) |
| Marital Status | Single | 92.4 (1878/2033) |
| | Married | 6.2 (127/2033) |
| | Separated or Divorced or Widow | 1.4 (28/2033) |
| Education | Did not go to school | 0.4 (8/2061) |
| | Completed primary school only | 0.1 (3/2061) |
| | Completed up to secondary school | 2.5 (52/2061) |
| | Completed up to high school | 25.2 (520/2061) |
| | Completed up to university, college or vocational school | 63.5 (1309/2061) |
| | Completed post-graduate level | 8.2 (169/2061) |
| Occupation | Student | 44.0 (905/2056) |
| | Office workers or sales clerk | 32.5 (668/2056) |
| | Self-employed | 8.5 (175/2056) |
| | Government employee | 6.9 (142/2056) |
| | Laborer | 3.8 (79/2056) |
| | Sex worker | 0.5 (10/2056) |
| | Other | 3.7 (77/2056) |
| Salary (monthly)†† | No income | 20.8 (425/2044) |
| | Less than VND 1,000,000 | 9.5 (195/2044) |
| | VND 1,000,000–5,000,000 | 38.6 (789/2044) |
| | Above VND 5,000,000–10,000,000 | 18.6 (380/2044) |
| | More than VND 10,000,000 | 12.5 (255/2044) |
| Internet Usage (weekly) | Do not use Internet | 0.3 (7/2057) |
| Less than 3 hours | 6.5 (134/2057) | |
| | 3–7 hours | 14.9 (307/2057) |
| | 8–12 hours | 16.7 (343/2057) |
| | 13–15 hours | 13.0 (268/2057) |
| 16 hours or more | 48.5 (998/2057) | |
†The survey included two separate questions about age: 1) screening question: are you 18 years or older? 2) main questionnaire: what is your age? Three cases responded ‘Yes’ to the screening question but did not respond to the age question in the main questionnaire.
††Average USD/VND exchange rate during data collection period: 20,992.54 (Source: http://Oanda.com).
Figure 1HIV Testing among MSM in Viet Nam (%).
Figure 2Reasons for ‘Never Testing’ for HIV, N = 641.
Risk factors associated with ‘never testing’ for hiv
| | ||||||
|---|---|---|---|---|---|---|
| | | | | |||
| Age ≥ 25 years | −0.84 | 0.43* | | −0.17 | 0.84 | |
| | (0.34 - 0.55) | <0.001 | | (0.52–1.38) | 0.50 | |
| Homosexual (self-reported) | 0.22 | 1.25 | | 0.41 | 1.51 | |
| | (0.97 - 1.61) | 0.09 | | (0.94–2.40) | 0.09 | |
| Bong Kin (self-reported) | −0.14 | 0.87 | | 0.09 | 1.09 | |
| | (0.67 - 1.12) | 0.28 | | (0.69–1.73) | 0.72 | |
| Bisexual | −0.09 | 0.92 | | 0.10 | 1.10 | 0.65 |
| | (0.73 - 1.16) | 0.48 | | (0.73–1.65) | | |
| Education (university, vocational school or higher) | −0.66 | 0.52* | | −0.33 | 0.72 | |
| | (0.39 - 0.69) | <0.001 | | (0.42–1.23) | 0.23 | |
| Marital Status (Married) | −0.44 | 0.64 | | 0.31 | 1.36 | |
| | (0.40 - 1.03) | 0.07 | | (0.50–3.69) | 0.54 | |
| Monthly income (≤ 5 million VND) | 1.12 | 3.07* | | 0.69 | 1.99* | |
| | (2.41 - 3.93) | <0.001 | | (1.22–3.23) | 0.006 | |
| Student | 0.96 | 2.62* | | 0.63 | 1.88* | 0.02 |
| | (2.03 - 3.38) | <0.001 | | (1.09–3.24) | | |
| Urban Resident | −0.51 | 0.60* | | −0.23 | 0.79 | |
| | (0.44 - 0.84) | 0.002 | | (0.46–1.38) | 0.41 | |
| Internet Use (≥ 15 hrs/wk) | −0.33 | 0.72* | | −0.50 | 0.61* | |
| | (0.57 - 0.91) | 0.007 | | (0.40–0.92) | 0.02 | |
| Internet Solicitation for Casual Sex Partners | 0.14 | 1.15 | | 0.02 | 1.02 | |
| | (0.88 - 1.49) | 0.32 | | (0.63–1.65) | 0.95 | |
| Anal Sex (≤ 6 mos) | −0.46 | 0.63* | | −0.41 | 0.67 | |
| | (0.48 - 0.84) | 0.001 | | (0.39–1.14) | 0.14 | |
| Alcohol Consumption (before and/or after sex) | −0.33 | 0.72* | | 0.05 | 1.05 | |
| | (0.56 - 0.92) | 0.01 | | (0.68–1.62) | 0.84 | |
| Medically Circumcised | 0.20 | 1.22 | | 0.53 | 1.69 | |
| | (0.83 - 1.80) | 0.31 | | (0.91–3.14) | 0.10 | |
| Accessed free condoms (≤ 12 mos) | −0.80 | 0.45* | | −0.31 | 0.73 | 0.32 |
| | (0.32 - 0.63) | <0.001 | | (0.40–1.35) | | |
| Accessed free water-based lubricant (≤ 12 mos)† | | 0.50* | | | 1.37 | |
| −0.70 | (0.33 - 0.75) | 0.001 | 0.31 | (0.54–3.45) | 0.51 | |
| Received HIV Education Materials (general ≤ 12 mos) | −0.41 | 0.66* | | −0.43 | 0.65 | 0.11 |
| | (0.50 - 0.87) | 0.003 | | (0.39–1.10) | | |
| Accessed HIV Education Materials (MSM brochures ≤ 12 mos) | −0.63 | 0.53* | | 0.29 | 1.33 | |
| | (0.38 - 0.74) | <0.001 | | (0.66–2.66) | 0.42 | |
| Contacted by MSM Peer Educator (≤ 12 mos) | −0.91 | 0.40* | | −0.45 | 0.64 | 0.25 |
| | (0.26 - 0.62) | <0.001 | | (0.30–1.36) | | |
| Participation in HIV behavioral intervention (≤ 12 mos) | −0.33 | 0.72* | | −0.58 | 0.56* | |
| | (0.53 - 0.98) | 0.04 | | (0.35–0.88) | 0.01 | |
| Perceived moderate- to high-risk of HIV infection | −0.11 | 0.90 | | −0.27 | 0.76 | 0.30 |
| | (0.65 - 1.24) | 0.52 | | (0.46–1.26) | | |
| Casual, commercial partners (6 mos) | 0.22 | 1.24 | 0.11 | 0.50 | 1.65 | 0.09 |
| | (0.95 - 1.62) | | | (0.93–2.90) | | |
| Multiple sexual partnerships (6 mos) | −0.36 | 0.70* | 0.01 | −0.21 | 0.82 | 0.33 |
| | (0.53 - 0.92) | | | (0.54–1.23) | | |
| Inconsistent condom use (6 mos) | 0.42 | 1.52* | | 0.37 | 1.45 | 0.07 |
| (1.14 - 2.02) | 0.004 | (0.97–2.16) | ||||
Beta: Regression Coefficient; OR = Odds Ration; CI = Confidence Interval; aOR = Adjusted Odds Ratio.
*Statistically significant (P-value < 0.05).
†Due to colinearity between “receiving free condoms in the last 12 months” and “receiving free water-based lubricant in the last 12 months”, the independent variable “receiving free water-based lubricant in the last 12 months” was removed from the multiple logistic regression models due to lower number of observations. Note: Colinearity does not bias results, but it produces large standard errors in the related independent variables and an effective remedy for Colinearity is to drop an explanatory variable in order to produce a model with significant coefficient estimates for the remaining explanatory variables [14].