Background
Globally, HIV/AIDS remains a serious public health threat with around 40 million people living with the virus in 2018, of whom about 21% were unaware of their status [
1]. Existing data indicate that young females constitute about 20% of the total adult population in terms of new HIV infection. Even though the incidence of HIV/AIDS infections fell by 36% between 2000 and 2017 [
2], the reduction is far from the desired target of less than 500,000 new cases by 2020. This calls for a global need to increase the rate at which the world reduces its rate of infections [
3]. According to UNAIDS 2020 report, there were 1.7 million new infections and 690,000 AIDS-related deaths in the year 2019 [
4]. The global prevalence of HIV/AIDS among women aged 15–24 years was 15%, of whom 80% reside in sub-Saharan Africa (SSA). The SSA is regarded as a high-prevalence setting where more than 70% of all new HIV infections occur [
2,
3,
5,
6], and young women are disproportionately impacted [
7]. The primary route of HIV transmission in the SSA is believed to be unsafe sexual practice [
8]. Three in four new HIV infections in this region occur among girls aged 15–19 years [
3]. Likewise, data from UNAIDs 2020 indicated that adolescent women aged 15–24 years have been at higher risk of new HIV infection compared to their male counterpart (24% vs 9%, respectively) [
4].
In Uganda, the overall prevalence of HIV infections was 18% in 1992 but declined to 6.4% in 2004. Irrespective of the considerable achievement in lowering new HIV infection, and lessening of AIDS-related deaths, the country continues to have a high (7.3%) prevalence of the infection as of 2011 [
9]. The escalation in prevalence is attributed to the ceaseless spread of the virus coupled with the heightened longevity of individuals having the disease [
9]. Adolescent girls and young women aged 15–24 years in Uganda are particularly at high risk compared to their male counterparts with a prevalence of 3.2% and 1.9%, correspondingly [
9,
10]. Furthermore, a slow rate of decline in new HIV infection was reported in Uganda that poses doubt as to whether Uganda is capable of meeting the fast track targets including: an overall goal of reducing the number of new infections, a goal of reaching zero new infections, with zero HIV/AIDS related deaths and zero discrimination [
9,
11]. Existing evidence suggests that high-risk sexual behaviors, low knowledge of one’s HIV serostatus, low level of knowledge and awareness about HIV, and stigmatization of people living with HIV (PLWHIV) are the key drivers of HIV incidence in Uganda [
9,
10,
12,
13].
Many previous studies have concluded that increasing comprehensive knowledge and positive attitude are important intervention measures in the prevention of HIV transmission [
14‐
17]. Other studies have demonstrated that young women possess poor comprehensive knowledge about HIV/AIDS compared to their male counterparts despite the elevated level of awareness [
14,
18‐
20]. This indicates that youths in general and young females, in particular, remain at the center of the epidemic [
8,
20]. Therefore, the best remedial measures to mitigate the future courses of the epidemic in Uganda could be through enhancing knowledge and attitude of people at younger age.
Although the significance of gathering accurate data on knowledge about HIV/AIDS and level of awareness is universally acknowledged, there is paucity of research addressing the predicting factors of young women’s comprehensive knowledge about HIV/AIDS and their acceptance attitude towards PLWHIV in Uganda. Thus, evaluating the predictors of comprehensive knowledge on HIV/AIDS and attitude towards PLWHIV is vital. In the present study, data were obtained from the 2016 Uganda Demographic and Health Survey (UDHS) of unmarried women aged 15–24 years. Our findings provide valuable insights into the identification of various factors that determine the comprehensive knowledge of HIV/AIDS and acceptance attitude in PLWHIV, and thereby highlight the need to implement a timely intervention among high risk groups.
Results
There were 1,971 women included in the final analysis after accounting for the sample weights corresponding to the target women. Table
1 illustrates the frequency distribution of the study participants. Majority (80.2%) of the respondents were within the age group of 15–19 years and a higher percentage (74.8%) of them were from rural areas. A small fraction (2.2%) of the participants did not attend school at all. More than half (53.8%) of the respondents had never been tested for HIV, whereas 91.5% had access to mass media at least once a week.
Table 1
Descriptive characteristics of the study population (n = 1971)
Age (years) | 15–19 | 1582 | 80.2 |
20–24 | 289 | 19.8 |
Religion | Catholic | 779 | 39.5 |
Protestant | 612 | 31.0 |
Muslim | 244 | 12.4 |
Pentecostal | 283 | 14.4 |
Others | 53 | 2.7 |
Educational level | No Education | 44 | 2.2 |
Primary | 1070 | 54.3 |
Secondary | 728 | 36.9 |
Higher | 130 | 6.6 |
Place of residence | Urban | 496 | 25.2 |
Rural | 1475 | 74.8 |
Wealth index | Poorest | 220 | 11.2 |
Poorer | 269 | 13.7 |
Middle | 350 | 17.8 |
Rich | 467 | 23.7 |
Richest | 664 | 33.7 |
Ever been tested for HIV/AIDS | No | 1060 | 53.8 |
Yes | 912 | 46.2 |
Mass media (frequency of listening to radio/watching TV/reading newspaper or magazine)) | Not at all | 168 | 8.5 |
At least once a week | 1799 | 91.5 |
HIV/AIDS awareness | No | 13 | 0.7 |
Yes | 1958 | 99.3 |
HIV/AIDS comprehensive knowledge | Do not have | 940 | 48.1 |
Have | 1015 | 51.9 |
Acceptance attitude towards PLWHIV | Do not have | 1553 | 79.4 |
Have | 403 | 20.6 |
Almost all (99.3%) young women in this study reported that they had ever heard of HIV/AIDS, but only less than half (48.1%) of the them had comprehensive knowledge about HIV/AIDS (Table
1). Less than a quarter of young unmarried women aged 15–24 (20.6%) had an overall positive acceptance attitude towards PLWHIV.
The distribution of correct responses about HIV/AIDS based on respondents’ sociodemographic characteristics is described in Table
2.
Table 2
Percentage distribution of women’s HIV/AIDS knowledge and their Socio-demographic variables
Total | 76.6 | 86.2 | 70.4 | 83.3 | 66.9 | 80.5 | 87.2 | 68.1 | 51.9 |
Age (years) |
15–19 | 74.9 | 85.3 | 68.4 | 81.6 | 66.0 | 80.2 | 86.2 | 66.2 | 48.9 |
20–24 | 83.5 | 90.0 | 78.5 | 90.2 | 70.2 | 81.5 | 91.0 | 75.9 | 63.8 |
Religion |
Catholic | 75.8 | 86.2 | 69.5 | 80.7 | 66.2 | 77.8 | 85.0 | 64.6 | 47.1 |
Protestant | 76.4 | 88.4 | 71.5 | 82.6 | 68.6 | 85.1 | 88.1 | 70.6 | 54.7 |
Muslim | 79.2 | 80.0 | 69.0 | 89.3 | 64.8 | 79.5 | 91.4 | 76.6 | 52.9 |
Pentecostal | 78.0 | 87.5 | 72.3 | 87.2 | 65.2 | 76.6 | 87.2 | 64.9 | 53.8 |
Others | 69.8 | 84.6 | 67.3 | 83.0 | 75.0 | 92.5 | 90.6 | 67.9 | 57.8 |
Educational level |
None | 33.3 | 71.4 | 33.3 | 48.8 | 44.2 | 59.5 | 61.9 | 28.6 | 13.8 |
Primary | 73.0 | 83.3 | 65.6 | 78.3 | 58.0 | 73.8 | 82.7 | 57.6 | 40.5 |
Secondary | 82.5 | 91.5 | 78.8 | 89.9 | 77.5 | 89.8 | 94.1 | 81.8 | 65.5 |
Higher | 87.6 | 85.4 | 74.8 | 97.7 | 86.9 | 90.0 | 93.1 | 90.0 | 74.8 |
Place of residence |
Urban | 83.0 | 89.0 | 77.7 | 92.5 | 72.7 | 82.6 | 91.9 | 79.7 | 62.7 |
Rural | 74.5 | 85.2 | 67.9 | 80.2 | 64.9 | 79.7 | 85.6 | 64.2 | 44.5 |
Wealth index |
Poorest | 63.9 | 79.5 | 58.4 | 70.9 | 53.6 | 74.0 | 73.2 | 45.2 | 32.0 |
Poorer | 66.4 | 86.5 | 63.4 | 74.2 | 61.4 | 79.1 | 81.3 | 57.7 | 41.9 |
Middle | 79.5 | 85.1 | 69.6 | 80.9 | 63.5 | 78.3 | 90.4 | 65.1 | 50.4 |
Richer | 80.4 | 85.8 | 74.8 | 84.5 | 66.0 | 77.6 | 87.7 | 70.2 | 54.4 |
Richest | 80.8 | 89.1 | 73.8 | 91.2 | 75.8 | 86.3 | 92.3 | 80.1 | 61.6 |
Ever been tested for HIV/AIDS |
No | 70.3 | 83.0 | 63.5 | 79.1 | 62.9 | 77.3 | 84.1 | 63.3 | 45.0 |
Yes | 83.8 | 89.9 | 78.3 | 88.2 | 71.4 | 84.1 | 90.7 | 73.7 | 59.8 |
Mass media (frequency of listening to radio/watching TV/reading newspaper or magazine) |
Not at all | 73.5 | 72.9 | 60.8 | 71.7 | 57.8 | 73.5 | 81.9 | 48.8 | 38.6 |
At least once a week | 76.9 | 87.4 | 71.3 | 84.4 | 67.7 | 81.1 | 87.6 | 69.8 | 53.2 |
Accordingly, 86.2% of the participants mentioned that HIV/AIDS transmission can be prevented through “having only one faithful uninfected partner”, and 76.6% of them by “using condom every time one has sex”. Around 70% of the participants mentioned both the above methods as the best practices of prevention. Concerning the common local misconceptions about HIV transmission, two-third (66.9%) of the respondents rejected the belief that “anyone can get HIV from mosquito bites”, 80.5% disagreed with the notion that one “can get HIV by sharing food”, and 87.2% disagreed with the idea that one “can get HIV by witchcraft”.
Table
3 describes the percentage distribution of women with an accepting attitude towards PLWHIV for the different attitude questions. As per the analysis, majority (86.2%) of the study respondents were willing to care for a relative who was diagnosed with HIV/AIDS and 70.3% said they would buy fresh vegetables from a market vendor who had HIV/AIDS.
Table 3
Percentage of women with Accepting Attitude toward PLWHIV by their Socio-demographic variables
Overall score | 86.2 | 70.3 | 71.3 | 36.6 | 20.6 |
Age (years) | | | | | |
15–24 | 84.6 | 68.3 | 69.0 | 36.3 | 19.1 |
20–24 | 92.8 | 78.4 | 80.7 | 37.8 | 26.7 |
Religion | | | | | |
Catholic | 84.1 | 68.0 | 70.4 | 41.2 | 23.2 |
Protestant | 88.3 | 73.7 | 73.6 | 35.5 | 20.5 |
Muslim | 85.2 | 73.0 | 71.3 | 30.6 | 17.6 |
Pentecostal | 88.3 | 64.7 | 68.3 | 33.0 | 17.1 |
Others | 88.7 | 84.9 | 75.5 | 26.4 | 15.1 |
Educational level | | | | |
None | 45.2 | 28.6 | 45.2 | 61.9 | 14.0 |
Primary | 81.1 | 59.7 | 60.0 | 36.4 | 16.1 |
Secondary | 93.9 | 84.7 | 85.8 | 35.4 | 26.3 |
Higher | 97.7 | 89.2 | 90.8 | 35.9 | 28.5 |
Place of residence | | | | |
Urban | 92.3 | 80.7 | 81.9 | 35.8 | 23.8 |
Rural | 84.1 | 66.8 | 67.7 | 36.8 | 19.5 |
Wealth index | | | | | |
Poorest | 74.1 | 54.1 | 57.1 | 45.0 | 18.6 |
Poorer | 79.4 | 64.4 | 64.6 | 38.2 | 20.5 |
Middle | 84.5 | 64.0 | 68.4 | 37.7 | 19.4 |
Richer | 86.5 | 72.7 | 69.5 | 33.8 | 18.9 |
Richest | 93.8 | 79.8 | 81.4 | 34.6 | 23.1 |
Ever been tested for HIV/AIDS |
No | 80.8 | 62.4 | 65.6 | 34.0 | 15.8 |
Yes | 92.4 | 79.5 | 77.9 | 39.5 | 26.1 |
Mass media (frequency of listening to radio/watching TV/reading newspaper or magazine) |
Not at all | 74.7 | 57.8 | 61.1 | 40.4 | 15.7 |
At least once a week | 87.3 | 71.4 | 72.3 | 36.2 | 21.1 |
As shown in Table
4, young women who ever been tested for HIV and had access to mass media had higher knowledge of HIV/AIDS than those we had never been tested and without access to mass media, as reflected by the significant difference (59.8%,
P < 0.001 and 53.2%,
P < 0.01, respectively). Interestingly, young unmarried women who had ever been tested for HIV/AIDS were more likely to have a better comprehensive knowledge on HIV/AIDS as compared to their counterparts (OR 1.82, 95% CI 1.52–2.18 and aOR 1.37, 95% CI 1.12–1.67).
Table 4
Association of HIV/AIDS knowledge and socio-demographic characteristics
Age (years) | | | | 27.77 | < 0.001 |
15–19 | 1565 | 799(51.1%) | 766(48.9%) | | |
20–24 | 390 | 141(36.2%) | 249(63.8%) | | |
Religion | | | | 3.97 | 0.410 |
Catholic | 772 | 387(50.1%) | 385(49.9%) | | |
Protestant | 605 | 278(46.0%) | 327(54.0%) | | |
Muslim | 244 | 109(44.7%) | 135(55.3%) | | |
Pentecostal | 282 | 141(50.0%) | 141(50.0%) | | |
Others | 53 | 26(49.1%) | 27(50.9%) | | |
Educational level | | | | 134.37 | < 0.001 |
No education | 42 | 34(81.0%) | 8(19.0%) | | |
Primary | 1056 | 617(58.4%) | 439(41.6%) | | |
Secondary | 727 | 247(34.0%) | 480(66.0%) | | |
Higher | 130 | 42(32.3%) | 88(67.7%) | | |
Place of residence | | | | 44.57 | < 0.001 |
Urban | 493 | 173(35.1%) | 320(64.9%) | | |
Rural | 1462 | 767(52.5%) | 695(47.5%) | | |
Wealth index | | | | 72.04 | < 0.001 |
Poorest | 219 | 149(68.0%) | 70(32.0%) | | |
Poorer | 267 | 155(58.1%) | 112(41.9%) | | |
Middle | 341 | 169(49.6%) | 172(50.4%) | | |
Richer | 465 | 212(45.6%) | 253(54.4%) | | |
Richest | 662 | 254(38.4%) | 408(61.6%) | | |
Ever been tested for HIV/AIDS | | | | 42.71 | < 0.001 |
No | 1044 | 574(55.0%) | 470(45.0%) | | |
Yes | 911 | 366(40.2%) | 545(59.8%) | | |
Mass media (frequency of listening to radio/watching TV/reading newspaper or magazine) | | 13.04 | < 0.001 |
Not at all | 166 | 102(61.4%) | 64(38.6%) | | |
At least once a week | 1784 | 835(46.8%) | 949(53.2%) | | |
In the present study, young women who had ever been tested for HIV exhibited a significantly better attitude towards PLWHIV compared to their counterparts (Table
5). Generally, respondents who obtained higher score on comprehensive knowledge about HIV/AIDS showed a tendency of positive accepting attitude towards PLWHIV. Again, after adjusting for potential confounding variables, the association remained positive as indicated in Table
6 (aOR 1.67, 95% CI 1.31–2.12).
Table 5
Association of acceptance attitude towards PLWHIV and socio-demographic characteristics
Age (years) | | | | 11.16 | 0.001 |
15–19 | 1567 | 1268(80.9%) | 299(19.1%) | | |
20–24 | 389 | 285(73.3%) | 104(26.7%) | | |
Religion | | | | 7.67 | 0.104 |
Catholic | 772 | 593(76.8%) | 179(23.2%) | | |
Protestant | 604 | 480(79.5%) | 124(20.5%) | | |
Muslim | 245 | 202(82.4%) | 43(17.6%) | | |
Pentecostal | 281 | 233(82.9%) | 48(17.1%) | | |
Others | 53 | 45(84.9%) | 8(15.1%) | | |
Educational level | | | | 33.77 | < 0.001 |
No education | 43 | 37(86.0%) | 6(14.0%) | | |
Primary | 1058 | 888(83.9%) | 170(16.1%) | | |
Secondary | 726 | 535(73.7%) | 191(26.3%) | | |
Higher | 130 | 93(71.5%) | 37(28.5%) | | |
Place of residence | | | | 4.36 | 0.037 |
Urban | 494 | 376(76.1%) | 118(23.9%) | | |
Rural | 1462 | 1177(80.5%) | 285(19.5%) | | |
Wealth index | | | | 4.24 | 0.375 |
Poorest | 220 | 179(81.4%) | 41(18.6%) | | |
Poorer | 268 | 213(79.5%) | 55(20.5%) | | |
Middle | 341 | 275(80.6%) | 66(19.4%) | | |
Richer | 466 | 378(81.1%) | 88(18.9%) | | |
Richest | 662 | 509(76.9%) | 153(23.1%) | | |
Ever been tested for HIV/AIDS | | | | 31.78 | < 0.001 |
No | 1045 | 880(84.2%) | 165(15.8%) | | |
Yes | 911 | 673(73.9%) | 238(26.1%) | | |
Mass media (frequency of listening to radio/watching TV/reading newspaper or magazine) | | 2.70 | 0.100 |
Not at all | 166 | 140(84.3%) | 26(15.7%) | | |
At least once a week | 1786 | 1410(78.9%) | 376(21.1%) | | |
HIV/AIDS comprehensive knowledge | | | | 33.56 | < 0.001 |
“Do not have” | 940 | 798(84.9%) | 142(15.1%) | | |
“Have” | 1015 | 754(74.3%) | 261(25.7%) | | |
Table 6
Multivariable logistic regression analysis showing associations among HIV/AIDS knowledge, acceptance attitude and socio-demographic characteristics
Age (years) |
15–19 | Ref | Ref | Ref | Ref |
20–24 | 1.84(1.47–2.32)*** | 1.32(1.01–1.73)* | 1.54(1.19–1.99)** | 1.13(0.84–1.52) |
Educational level |
No education | Ref | Ref | Ref | Ref |
Primary | 3.11(1.42–6.81)** | 2.58(1.14–5.87)* | 1.23(0.50–3.02) | 1.25(0.49–3.22) |
Secondary | 8.47(3.85–18.66)*** | 5.51(2.39–12.69)*** | 2.30(0.94–5.65) | 1.97(0.75–5.14) |
Higher | 9.18(3.90–21.65)*** | 4.20(1.69–10.44)** | 2.53(0.97–6.62) | 1.89(0.67–5.32) |
Place of residence |
Rural | Ref | Ref | Ref | Ref |
Urban | 2.04(1.65–2.52)*** | 1.31(0.99–1.72) | 1.30(1.01–1.65)* | 0.98(0.71–1.35) |
Wealth index |
Poorest | Ref | Ref | Ref | Ref |
Poorer | 1.54(1.06–2.23)* | 1.16(0.78–1.72) | 1.14(0.73–1.80) | 0.92(0.57–1.49) |
Middle | 2.15(1.51–3.07)*** | 1.58(1.09–2.30)* | 1.08(0.69–1.65) | 0.82(0.52–1.30) |
Richer | 2.53(1.80–3.54)*** | 1.65(1.15–2.38)** | 1.03(0.68–1.55) | 0.72(0.46–1.13) |
Richest | 3.40(2.46–4.70)*** | 1.59(1.08–2.34)* | 1.33(0.90–1.96) | 0.77(0.48–1.23) |
Ever been tested for HIV/AIDS |
No | Ref | Ref | Ref | Ref |
Yes | 1.82(1.52–2.18)*** | 1.37(1.12–1.67)** | 1.89(1.51–2.36)*** | 1.56(1.23–1.98)*** |
Mass media (frequency of listening to radio/watching TV/reading newspaper or magazine) |
Not at all | Ref | Ref | Ref | Ref |
At least once a week | 1.83(1.32–2.54)*** | 1.33(0.94–1.88) | 1.42(0.92–2.18) | 1.19(0.75–1.86) |
HIV/AIDS comprehensive knowledge |
“Do not have” | – | – | Ref | Ref |
“Have” | – | – | 1.96(1.56–2.45)*** | 1.67(1.31–2.12)*** |
Comparative tests have shown statistically significant association between age group and knowledge on HIV/AIDS (Table
6). Women aged 20–24 years had better comprehensive knowledge on HIV/AIDS than those aged 15–19 years (OR 1.84, 95% CI 1.47–2.32). This association remained significant after adjustment and hence, women of 20–24 years were 32% more knowledgeable in terms of comprehensive knowledge about HIV/AIDS than the age group of 15–19 years (aOR 1.32, 95% CI 1.01–1.73). Similarly, there was a significant (
P < 0.001) difference on HIV/AIDS comprehensive knowledge between urban and rural residents (Table
4). Women from urban residence were greater than twice more likely to know about HIV/AIDS comprehensive knowledge (OR 2.04, 95% CI 1.65–2.52) compared to those women from rural residence. However, the differences in place of residence and HIV/AIDS comprehensive knowledge were not significant after adjustment. The highest knowledge on HIV/AIDS was observed among women with higher educational levels. A statistically significant associations were found across all educational levels as compared to women who did not attend education at all (Table
4). As educational status of the respondents increased, so did the strength of association, indicating the highest association in women with higher educational status (OR = 9.18; 95% CI 3.90–21.65). After adjustment, the association remained significant (Table
6). In this study, we found significant association between higher household wealth status and greater comprehensive knowledge on HIV/AIDS (
P < 0.001) (Table
4).
In the logistic regression analysis (Table
6), women aged 20–24 years had higher odds (OR 1.54; 95% CI 1.19–1.99) of having accepting attitude towards PLWHIV compared with adolescent women of 15–19 years old. However, this association was not significant in multivariable logistic regression analysis. Young women residing in urban areas had more positive attitude towards PLWHIV than those rural areas (
P < 0.01) indicating an independent significant positive association. Nevertheless, this association became insignificant after adjusting the OR in multivariable logistic regression analysis.
Discussion
Youth population, the major human capital of any society, should be well informed and evaluated on comprehensive knowledge about HIV/AIDS and attitude towards PLWHIV. In this study, almost all (99.3%) of young Ugandan women were found to be aware of HIV/AIDS. This is consistent with the results of the Uganda AIDS Indicator Survey (UAIDS-2011) [
29]. However, only 51.9% have comprehensive knowledge on HIV/AIDS, which is contrary to the United Nations General Assembly’s (UNGASS) 2001 plan on improving HIV/AIDS knowledge among youth. The UNGASS target was to provide access on accurate information and good service to 95% of individuals aged 15–24 years worldwide by 2010 [
30]. Corresponding to the present study, Uganda HIV/AIDS progress report stated that “many people are vulnerable to infection due to lack of comprehensive knowledge on HIV/AIDS as well as local misconceptions surrounding the HIV/AIDS phenomenon” [
9]. Similar studies from Africa and Asia noted that comprehensive knowledge of HIV/AIDS is inadequate [
14,
28,
31]. Nevertheless, studies from Europe showed a high level of HIV/AIDS-related Knowledge [
32]. Participants’ inadequate knowledge about HIV/AIDS can account for inadequate access to sexual and reproductive health information [
32]. Gender inequalities and dangerous traditional norms concerning issues of sexual health and sexuality could also account for the low levels of knowledge among young women [
21,
33].
Methods of reducing HIV transmission include but are not limited to, loyalty to one uninfected partner and consistent use of condoms during intercourse. In this study, participants’ knowledge about prevention methods of HIV/AIDS transmission is moderately high, and hence there is still a room for improvement. Young women’s knowledge of prevention methods (condom use and having a faithful uninfected partner) was fairly high at (70.4%). These findings are similar to the reports of UDHS-2006 and UAIS-2011 [
29,
34]. However, similar studies from Iran and Ethiopia showed a substantial gap in knowledge. Only 49.8% and 52% of young women were aware of the methods for prevention of HIV transmission, correspondingly [
14,
35]. To determine effective techniques for HIV/AIDS prevention and eradicate popular misconceptions, it is useful to identify fallacies about HIV/AIDS [
29]. Two-third (66.9%) of the respondents rejected the misconception that HIV can be transmitted through mosquito bites. About 13% believed the possibility of transmission by witchcraft or other supernatural, and 19.5% by sharing a meal with someone who is infected with HIV. The misconceptions reported in this study could exacerbate risky sexual behaviors, which may predispose them to HIV infection [
36]. The findings further pointed out the need to strengthen educational activities by clarifying the puzzles about knowledge on HIV transmission and relevant misconceptions. Having adequate comprehensive knowledge about HIV/AIDS can also reflect young women’s behavior. As a consequence, they may avoid harmful practices thereby safeguarding themselves from HIV/AIDS [
36].
Data from multivariable logistic regression analysis demonstrated that higher educational status of young women was significantly associated with having comprehensive knowledge about HIV/AIDS. We found out that respondents with primary, secondary and higher levels of education had more comprehensive knowledge regarding HIV/AIDS compared to those with no education at all. In line with the current findings, previous studies [
14,
28,
37] demonstrated beyond doubt that education is a social vaccine and is a critical component in the fight against HIV/AIDS. Based on these findings, there is a need to provide extracurricular activities on HIV/AIDS for the young age groups. Expectedly, the current study found a higher level of knowledge among the inhabitants of urban areas than rural areas. This result is consistent with the findings from previous studies [
13,
28,
38]. Moreover, a DHS survey conducted in eight settings in SSA (Uganda, Malawi, Kenya, Lesotho, Tanzania, Zambia, Swaziland, and Zimbabwe) with high HIV prevalence reported that knowledge on HIV/AIDS was higher among urban residents [
39]. This could be elucidated by an uneven distribution of access to information through the media and instructional campaigns across various regions [
32]. In addition, wealthier women were more knowledgeable compared to their counterparts. This could be due to their high living standards allowing them to get more access to education which in turn boosts their knowledge about HIV/AIDS [
13]. In harmony with several previous studies [
13,
14,
28], our study demonstrated higher odds of comprehensive knowledge among “richest”, “richer” and “middle” wealth category than the “poorest”.
Consistent with a study done in Kenya [
40], despite extensive exposure to mass media (91.5%), considerable proportions of young unmarried women showed inadequate knowledge regarding HIV/AIDS. The current study revealed that women who had ever been tested for HIV/AIDS were more likely to have adequate knowledge on HIV/AIDS. This could be the result of education and counselling received from healthcare providers.
Negative attitude towards PLWHIV is common worldwide [
21] and is regarded as a fundamental barrier in the struggle against HIV/AIDS [
28]. However, efforts directed at lowering negative attitude rank low in the priority list of HIV/AIDS programs [
16]. The spread of HIV/AIDS has generated anxiety, fear as well as prejudice to PLWHIV [
29]. In Uganda, although efforts have been made to reduce the negative attitude towards PLWHIV [
8], the lack of well-defined social support package and capacity gaps in traditional institutions have stymied the national response. Consequently, stigma towards PLWHIV remains high [
9,
29].
Regarding attitudes towards PLWHIV, only 20.6% of the participants had a positive acceptance attitude to PLWHIV. Comparable population-based studies conducted in the Democratic Republic of Congo (DRC), Nigeria, Iran, and India also found a high level of stigma ranging from 3.2 to 37% [
28,
32,
41]. In concordance with an Iranian study [
32], majority (86.2%) exhibited willingness to care for a relative with HIV. Approximately 36% of young unmarried women reported that they would not want HIV infection in a family to remain secret. This low rate of disclosure shows negative attitude is becoming a major concern in tackling the burden of HIV/AIDS. Nearly 30% of the participants had negative beliefs toward buying fresh vegetables from a vendor with HIV or attending a lecture taught by a female HIV-positive teacher. This discriminatory attitude on PLWHIV could be a barrier to voluntary counselling and testing for HIV and the productive dissemination of enlightenment programs [
36]. The high level of stigma uncovered in this study might be attributed to the inadequate knowledge about preventing HIV transmission and fallacies regarding HIV/AIDS [
32,
42,
43]. Similar studies done in Nigeria, India, Kenya, and Burundi [
21,
28,
44,
45] noted that women aged 20–24 years had a better attitude towards PLWHA than those aged 15–19 years. In this study, young women aged 20–24 years were 1.54 times more likely to have a better attitude towards PLWHIV than those aged 15–19 years. However, no significant association was seen after adjusting for age in multivariable logistic regression. Effective and efficient educational instruction attained from educational institutions about HIV/AIDS can change one’s negative attitude [
28,
46] and may subsequently encourage healthy behaviors [
14]. In addition to this, young women who are not in school might lose the chance of obtaining knowledge about HIV/AIDS [
13]. In the current study, no association was found between educational status and a positive attitude towards PLWHIV. Easy access to health-related information or services from mass media by urban residents could help them acquire better knowledge about HIV/AIDS and accepting attitude than rural residents [
21]. However, in this research, the variation in accepting attitude among the different places of residence (rural and urban) as well as access to mass media (no access at all and once a week) were insignificant. This finding is contrary to UAIS-2011 report [
29] and other studies [
14,
32,
47‐
49]. Besides, many other studies have demonstrated that wealth status is significantly associated with positive attitude towards PLWHIV. Although the pattern among the four wealth quartiles was not uniform, previous studies had reported that those with higher socio-economic status were more likely to have accepting attitude towards PLWHIV than those with lower socio-economic status [
21,
28,
50,
51]. Contrary to that assumption, wealth status was not significantly associated with accepting attitude towards PLWHIV in the bivariate analysis. Since economic solvency assures access to indispensable necessities such as standard of living, healthcare services, and education; the absence of relationship between wealth status and positive attitude towards PLWHIV is hard to explain. Indeed, additional studies are warranted in the future with regard to this issue.
As indicated in various studies, knowledge has been identified as a major driver of positive attitude towards PLWHIV. On the other hand, negative attitudes appear to be the outcome of poor access to appropriate and accurate HIV/AIDS-related information [
52]. However, knowledge may occasionally stem risky sexual behaviors [
14]. In this regard, our findings revealed that those with comprehensive knowledge on HIV/AIDS were highly likely to have accepting attitude compared to the reference group. This finding is in agreement with many similar studies existing in the literature [
37,
42,
43,
48,
53]. The health education sessions provided by health experts, especially those visiting HIV/AIDS testing centers could have a positive effect on attitude towards PLWHIV. In this study, women who ever had HIV/AIDS testing were more likely to show positive attitudes towards PLWHIV.
Limitation
In this study, we have noted some limitations. Firstly, since DHS is a household survey, the exclusion of people living in institutions or on the street might limit the generalizability of the results. Secondly, we failed to report cause and effect due to the cross-sectional nature of the study. Thus, our results can be explained referring to observed associations between explanatory and outcome variables. Thirdly, this kind of study can be affected by recall bias which might affect the findings. Moreover, the research participants could fail to express their real feelings and attitudes in a face-to-face interview which could affect the quality of the data. Finally, we could not use complex sampling procedure due to the fact that one of the elements (sample strata for sampling errors V022) was unavailable.
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