| Literature DB >> 34932611 |
Alex Yeshaneh1, Adugna Lencha2, Amlaku Mulat Aweke3, Yaregal Dessalew4, Tegegne Wale5, Esubalew Mekuriya3, Temkin Abdulahi4, Alemu Workineh6, Meseret Yitayew7, Hirut Dinku1, Genet Asfaw1.
Abstract
BACKGROUND: Human immunodeficiency virus (HIV) affects a highly significant number of people and is responsible for the deaths of many people in sub-Saharan African countries alone. The best prevention method for this virus is through consistent condom utilization which can help to prevent drug-resistant HIV infection and acquisition of new infection. Therefore, this study aimed to assess consistent condom utilization and associated factors among HIV-positive individuals attending an antiretroviral therapy clinic at Pawi general hospital, North West Ethiopia in 2020.Entities:
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Year: 2021 PMID: 34932611 PMCID: PMC8691638 DOI: 10.1371/journal.pone.0261581
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Socio-demographic characteristics of consistent condom use HIV infected persons in condom use, Pawi general hospital, North West Ethiopia 2020 (n = 419).
| Characteristics | Frequency | Percent |
|---|---|---|
|
| ||
| 18–24 | 49 | 11.7 |
| 25–34 | 134 | 32 |
| 35–44 | 130 | 31 |
| ≥45 | 113 | 25.3 |
|
| ||
| Female | 263 | 62.8 |
| Male | 156 | 37.2 |
|
| ||
| Orthodox | 337 | 80.4 |
| Muslim | 49 | 11.7 |
| Protestant | 22 | 5.3 |
| Catholic | 11 | 2.6 |
|
| ||
| Urban | 233 | 55.6 |
| Rural | 186 | 44.4 |
|
| ||
| Single | 35 | 8.4 |
| Married | 251 | 59.9 |
| Widowed | 33 | 7.8 |
| Divorce | 100 | 23.9 |
|
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| Amahra | 304 | 72.6 |
| Oromo | 16 | 3.8 |
| Shinasha | 15 | 3.6 |
| Gumuz | 10 | 2.4 |
| Kembata | 14 | 3.3 |
| Agew | 56 | 13.4 |
| Tigre | 4 | 1.0 |
|
| ||
| <1000 birr | 143 | 34.1 |
| 1100–3000 birr | 102 | 24.3 |
| 3100–4999 birr | 76 | 18.1 |
| >5000 birr | 98 | 23.4 |
|
| ||
| Unemployed | 30 | 7.2 |
| Governmental employer | 62 | 14.8 |
| House wife | 111 | 26.5 |
| Daily laborer | 88 | 21 |
| Merchant | 55 | 13.1 |
| Farmer | 73 | 17.4 |
|
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| Unable to read & write | 111 | 26.5 |
| Able to read & write | 181 | 43.2 |
| Primary &secondary | 93 | 22.2 |
| College & university | 34 | 8.1 |
Knowledge of condom use and drug resistance virus among ART clients in Pawi general hospital, North West Ethiopia 2020 (n = 419).
| Variable | Frequency | Present |
|---|---|---|
|
| ||
| Yes | 413 | 98.6 |
| No | 6 | 1.4 |
|
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| Yes | 222 | 53.0 |
| No | 197 | 47.0 |
|
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| Abstinence | 80 | 34.9 |
| Condom use | 149 | 65.1 |
Sexual behavior and condom use among ART client in Pawi general hospital, North West Ethiopia, 2020 (n = 419).
| Variable | Frequency | Present |
|---|---|---|
|
| ||
| Yes | 380 | 90.7 |
| No | 39 | 9.3 |
|
| ||
| None | 64 | 16.8 |
| 1 | 268 | 70.5 |
| ≥2 | 48 | 12.6 |
|
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| Steady | 248 | 65.3 |
| Causal | 113 | 29.7 |
| Commercial sex worker | 19 | 5 |
|
| ||
| Yes | 282 | 74.2 |
| No | 98 | 25.7 |
|
| ||
| Yes | 268 | 64 |
| No | 151 | 36 |
|
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| Yes | 191 | 50.3 |
| No | 228 | 49.7 |
|
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| My wife and me are already infect | 44 | 23.3 |
| We have the same type of virus | 59 | 31.2 |
| Desire to have child | 34 | 18 |
| It decreases sexual satisfaction | 19 | 10 |
| No condom access | 19 | 10 |
| My religion condemn it | 14 | 7.5 |
Fig 1Consistent condom utilization among ART clients in pawi general hospital, North West Ethiopia, 2020 (n = 419).
Binary and multivariable logistic regression analysis with consistent condom utilization among HIV infected persons on ART clinic at Pawi general hospital, North West Ethiopia 2020 (n = 419).
| Variable | Consistent condom use | COR 95% | AOR 95% | p-value | |
|---|---|---|---|---|---|
| Yes | No | ||||
| Age | |||||
| 18–24 | 23(65.7%) | 12(34.3%) | 1 | 1 | |
| 25–34 | 36(56.3%) | 28(43.7%) | 0.671(0.285,1.577) | 1.028(0.366,2.889) | |
| 35–44 | 20(39.6%) | 31(60.4%) | 0.337(0.137,0.825) | 0.613(0.214,1.752) | |
| ≥45 | 15(36.6%) | 26(63.4%) | 0.301(0.117,0.774) | 0.450(0.146,1.385) | |
|
| |||||
| Urban | 73(57%) | 55(43%) | 2.655 (1.414,4.984) | 2.163(1.053,4.447) | 0.036 |
| Rural | 21(33.3%) | 42(66.7%) | 1 | 1 | |
|
| |||||
| Single | 23(81.1%) | 5(17.9%) | 1 | 1 | |
| Married | 40(36.4%) | 70(63.6%) | 0.124(0.044,0.352) | 0.192(0.055,0.666) | 0.009 |
| Widowed | 7(50%) | 7(50%) | 0.217(0.217,0.905) | 0.265(0.048,1.455) | |
| Divorced | 24(61.5%) | 15(38.5%) | 0.348(0.109,1.112) | 0.378(0.100,1.426) | |
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| |||||
| Unable to read & write | 13(29.5%) | 31(70.5%) | 0.839 (0.259, 2.715 | 1.165(0.306,4.434) | |
| able to read & write | 61(66.3%) | 31(33.7%) | 3.935 (1.35, 11.49) | 5.328(1.570,18.081) | 0.007 |
| Primary &secondary | 14(37.8%) | 23(62.2%) | 1.217 (0.037, 3.978) | 1.451(0.370,5.696) | |
| College &university | 6(33.3%) | 12(66.7%) | 1 | 1 | |
|
| |||||
| Yes | 32(65.3%) | 17(34.7%) | 1 | 1 | |
| No | 62(43.7%) | 80(56.3%) | 2.429(1.236,4.772) | 1.364(0.523,3.557) | |
|
| |||||
| None | 30(78.9%) | 8(21.1%) | 1 | 1 | |
| 1 | 44(36.4%) | 77(63.6%) | 0.152(0.064,0.361) | 0.197(0.070,0.551) | 0.002 |
| ≥2 | 20(49.2%) | 12(37.5%) | 0444(0.154,1.281) | 0.318(0.091,1.116) | |