| Literature DB >> 25933806 |
Zawadi Sanga1, Gibson Kapanda2, Sia Msuya3, Rose Mwangi4.
Abstract
BACKGROUND: Voluntary HIV counseling and testing (VCT) is a key strategy towards HIV prevention yet, the uptake of VCT services among young people remains low. This study determined the factors that influence the uptake of VCT among secondary school students in Arusha City, Tanzania.Entities:
Mesh:
Year: 2015 PMID: 25933806 PMCID: PMC4423168 DOI: 10.1186/s12889-015-1771-9
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
The distribution of the socio-demographic characteristics of students (n =400)
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| Sex: | ||
| Male | 202 (50.5) | |
| Female | 198 (49.5) | |
| Age (years): | ||
| Mean (±SD) | 16.4 ± 1.9 | |
| 13 – 15 | 127 (31.8) | |
| 16 – 18 | 221 (55.2) | |
| 19 – 24 | 52 (13.0) | |
| Current form of study: | ||
| I – II | 111 (27.8) | |
| III – IV | 244 (61.0) | |
| V – VI | 45 (11.2) | |
| Religion: | ||
| Christian | 331 (82.8) | |
| Muslim | 65 (16.2) | |
| Other | 4 (1.0) | |
| Type of school | ||
| Day | 272 (68.0) | |
| Boarding | 128 (32.0) | |
| Ownership of school: | ||
| Government | 186 (46.5) | |
| Private | 114 (28.5) | |
| Faith-based | 100 (25.0) |
Figure 1Sources of information for VCT (n = 374).
Socio-demographic characteristics versus VCT uptake (n = 400)
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| Sex: | |||||
| Male | 202 | 49 (24.3) | 153 (75.7) | ||
| Female | 198 | 73 (36.9) | 125 (63.1) | 1.8 (1.2-2.8) | 0.006 |
| Age (years): | |||||
| Younger than 18 | 299 | 73 (24.4) | 226 (75.6) | ||
| 18 or older | 101 | 49 (48.5) | 52 (51.5) | 2.9 (1.8-4.7) | <0.001 |
| Current form of study: | |||||
| O’level (Form I-IV) | 355 | 98 (27.6) | 257 (72.4) | ||
| A’level (Form V-VI) | 45 | 24 (53.3) | 21 (46.7) | 3.0 (1.6-5.6) | <0.001 |
| Religion: | |||||
| Christian | 331 | 93 (28.1) | 238 (71.9) | ||
| Muslim + Other (non- Christian) | 69 | 27 (41.5) | 40 (58.0) | 1.9 (1.1-3.2) | 0.022 |
| Type of school | |||||
| Day (single + mixed sex) | 272 | 80 (29.4) | 192 (70.6) | ||
| Boarding (single + mixed sex) | 128 | 42 (32.8) | 86 (67.2) | 1.2 (0.7-1.8) | 0.491 |
| Ownership of school: | |||||
| Government | 186 | 45 (24.2) | 141 (75.8) | ||
| Private | 214 | 77 (36.0) | 137 (64.0) | 1.8 (1.1-2.7) | 0.011 |
| Sexual practice (n = 374) | |||||
| No | 301 | 88 (29.2) | 213 (70.8) | ||
| Yes | 73 | 27 (37.2) | 46 (62.8) | 1.4 (0.9-2.4) | 0.168 |
| Discussed with a sexual partner about HIV testing (n = 89) | |||||
| No | 49 | 10 (20.4) | 39 (79.6) | ||
| Yes | 40 | 18 (45.0) | 22 (55.0) | 3.2 (1.3-8.1) | 0.013 |
| Visited VCT centre | |||||
| (n = 398) | |||||
| No | 289 | 63 (21.8) | 226 (78.2) | ||
| Yes | 109 | 59 (54.1) | 50 (45.9) | 4.2 (2.6-6.8) | <0.001 |
Factors that significantly predict VCT uptake
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| Age: | 0.367 | 0.189 | 0.714 | 0.003 |
| Sex of student: | 0.292 | 0.172 | 0.495 | <0.001 |
| School ownership: | 0.517 | 0.306 | 0.871 | 0.013 |
| Religion of student: | 0.321 | 0.171 | 0.603 | <0.001 |
| Visited VCT centre: | 5.648 | 3.284 | 9.714 | <0.001 |
Figure 2VCT uptake versus distance to the VCT facility (n = 358). p = 0.034; OR =1.6; 95% CI = (1.0-2.5).
Figure 3Factors hindering VCT uptake, n = 227; 1 missing).