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International Journal of Women's Health Care(IJWHC)

ISSN: 2573-9506 | DOI: 10.33140/IJWHC

Impact Factor: 1.011

Research Article - (2022) Volume 7, Issue 3

Demographic and Social Factors Associated with HIV Discordance Among HIV Infected Couples in Kaduna State Nigeria

Daniel A Danboyi 1 *, Nura M Sani 2 , Lawal Danjuma 2 and Masud Abdullahi 2
 
1Department of Sciences, Kaduna State College of Nursing and Midwifery, P.M.B.1014, Kafanchan, Kaduna, Nigeria
2Department of Microbiology and Biotechnology, Federal University, P.M.B. 7156 Dutse, Jigawa State, Nigeria
 
*Corresponding Author: Daniel A Danboyi, Department of Sciences, Kaduna State College of Nursing and Midwifery, P.M.B.1014, Kafanchan, Kaduna, Nigeria

Received Date: May 30, 2022 / Accepted Date: Jun 09, 2022 / Published Date: Jul 25, 2022

Copyright: ©Daniel A Danboyi, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Citation: Daniel A Danboyi, Nura M Sani, Lawal Danjuma and Masud Abdullahi. (2022). Demographic and Social Factors Associated with HIV Discordance Among HIV-Infected Couples in Kaduna State Nigeria. Int J Women's Health Care, 7(3), 119-124.

Abstract

Background: Discordance has always been a bane in the efforts to stop the spread of HIV within the population as it creates a gap through which re-infection occurs. Knowing the demographics associated with discordance will help in the fight against HIV AIDS transmission.

Objectives: The study was conducted to assess the demographic and social factors associated with HIV discordance among HIV- infected couples.

Methods: A total of 158 couples and 317 individuals were recruited for the survey using a stratified sampling technique. A detailed closed-ended questionnaire was administered to them to collect their demographic and social information. A blood test was also carried out to confirm their HIV status.

Results: The majority 161(50.8%) of respondents had secondary education while the least 29(9.1%) of them had tertiary education. Most of the 135(42.6%) knew their HIV status by voluntary testing, and most respondents 255(71%) were Christians while only 92(29%) were Muslims. More women 105(66.04%) were HIV positive, and the HIV discordance prevalence for Kaduna State was 0.2%. Social factors such as education, employment, unprotected sex, extramarital affairs, body marks/tattoo, surgery/operation, tribal marks, and blood transfusion did not affect HIV discordance, p-value = 0.05. Other social factors such as remarriage, use of antiretroviral therapy (ART), pre-marital sex, male/female circumcision, and polygamy were found to affect HIV discordance, p-value = 0.05.

Conclusions: There is a need to draw the attention of HIV- infected couples to these facts to succeed in the global war against HIV AIDS.

Keywords

Human Immunodeficiency Virus (HIV), Local Government Areas (LGAs), Antiretroviral Therapy (ART), Discordance.

Introduction

Discordance among HIV-infected couples is a common phenome¬non in sub- Saharan Africa and this has always been a challenge in the struggle for HIV prevention and cure [1,2]. Discordant couples are those where one partner is HIV-infected while the other is not, where a couple is defined as two persons in an ongoing sexual re¬lationship and each of these persons is referred to as a “partner” in the relationship [3,4]. There are two types of discordance: hard and soft. Hard discordance is when the male partner is HIV positive while soft discordance is when the female partner is HIV positive [4]. In another report, Merenu et al. also mentioned that serodis¬cordance can be called magnetic or mixed-status [5]. Discordance usually results from initial non-disclosure before marriage or re¬lationship, traditional marriages without pre-marital counseling and testing, latency in the event of infection before marriage, and accidental infection of a partner during a marriage or sexual rela¬tionship [6].

The phenomenon of discordance among HIV-infected couples has remained a mirage and a concept that needs to be unraveled. It has remained so for as long as when the discovery of the mutant alleles of the CCR5 gene came to the fore [7,8]. The mutant allele concept is just one possibility; there could be other reasons such as reduced viraemia or innate resistance. Knowing that majority of HIV-1 infection which occurs in Africa is among individuals in stable sexual partnership, improving our understanding of the correlates of discordance will provide information on the dynam-ics and risk factors of couple transmission that can assist in the development of interventions to reduce transmission within couple relationships. HIV discordant partnerships can constitute core risk groups for the transmission of HIV infection [9]. Gray et al. also reported that HIV-negative members of discordant partnerships are at extremely high risk of infection, with the annual incidence of 10 to 100-fold higher than that of their HIV concordant negative counterparts [10].

Materials and Methods

Study Area/Population

A total of 158 couples or 317 persons who are either HIV positive or negative from 9 LGAs of the 23 LGAs of Kaduna State, Nigeria were recruited for the study using a stratified sampling technique. Kaduna State is one of the 19 northern states of Nigeria and has long been seen as the Major capital of the northern region, and now the capital of the North West. It is ranked 4th by land area and 3rd by population in Nigeria. The state capital was the former cap-ital city of the British protectorate of the Northern Nigeria region (1923-1966) after Zungeru (1903–1923) and Lokoja (1897–1903). It is made up of some major towns which include: Zaria, Kagoro, Kafanchan, Kachia, Zonkwa, Makarfi, and Birnin Gwari [11]. Ka¬duna State has coordinates of 100 20’N 70 45’ E of Nigeria. It has a total land area of 46,053 km2 and a total population of 6,113,503 according to the 2006 population census of Nigeria [12]. Kaduna State has over 1,000 primary healthcare facilities to cater to every resident - even in the most remote village or ward of the state. In addition to these, the government has made efforts to establish General hospitals in each of the 23 LGA headquarters to enhance effective and accessible healthcare for its citizens. These General hospitals have now become treatment centers for HIV anti-retrovi-ral therapy all around the state.

A structured questionnaire was administered to capture demo-graphic data (sex, educational qualification, religion, marital sta-tus, and employment status) of respondents; and social factors (discovery of HIV status, unprotected sex, use of ARTs, use of condom, pre/ extramarital affairs, polygamy, male/ female genital mutilation, tattoo/ surgery and tribal marks, blood transfusion) of respondents. Blood samples were also collected from HIV-nega-tive partners to re-screen the clients for their HIV status. This was done in a space of 4months, from July 2020 to November 2020.

Sample Collection

The questionnaire was issued to the HIV-positive partners at the treatment center on clinic days after proper enlightenment on the essence of the study. Five milliliters (5ml) of whole blood was aseptically collected from the cephalic vein of the ante-cubital fos-sa of each HIV-negative donor after signing informed consent at the end of the group information session (GIS). A sterile EDTA container was used to keep the whole blood unclotted and stored in the refrigerator for further analysis.

Test Procedure (HIV Serology)

The test device (cassette) was removed from the foil and placed on a flat surface (laboratory worktop). A blood sample (about 20µL) was dropped onto the testing reagent Determine. UNI- GOLD was later used for a confirmatory test. Any sample that yielded dis¬cordant results in two tests was resolved using STAT- PAK as the tie-breaker. This followed the national guidelines for a rapid test as outlined by UNAIDS/WHO, 2004 using serial algorithm [13].

Statistical Analysis

The data generated in this study were analyzed for statistical sig¬nificance in the association of HIV discordance and demographic social factors using Pearson Chi-square, Fisher’s exact test with the aid of statistical package for social sciences (SPSS) version 21. The significance level was set at a p-value of ≤ 0.05.

Results

Demography

One of the inclusion criteria in this study was that participants must be couples who have been in stable sexual activities for at least one 1year. For this reason, sex is of no significance here- they must be male and female but however, one man had two wives in participation- this is why we had 317 respondents for 158 couples. Similarly, age is of no significance here because all participants were adults (18years and above) to participate. Table 1 shows that the majority of 161(50.8%) of respondents, had secondary educa¬tion followed by 72(22.7%) who had primary education. Those who had no education were 55(17.4%) while those with tertiary education were only 29(9.1%).

                Table 1: Demographic Factors Associated with HIV

Discordance in Kaduna State (N= 317)

Characteristics

Frequency (%)

P- Value

Education

No Formal education

55(17.4)

0.29

Primary

72(22.7)

 

Secondary

161(50.8)

 

Tertiary

29(9.1)

 

Total

317(100)

 

Knowledge of HIV status

Illness/ Hospital treatment

68(21.5)

0.97

Awareness

43(13.6)

 

Voluntary testing

135(42.6)

 

ANC

71(22.4)

 

Total

317100)

 

Religion

Christianity

225(71.0)

0.97

Islam

92(29.0)

 

Total

317(100)

 

Gender

Male

158(49.8)

0.00

Female

159(50.2)

 

Total

317(100)

 

Chi-square P-Value

If we look at how they got to know about their HIV status, we will realize that in Table 1, a large number 135(42.6%) went on their own to test for HIV in both men and women. Pregnant women who were in antenatal clinic 71(22.4%) were tracked down and tested. Another 68(21.5%) were tested while in hospital treatment against their wish but to help the doctor achieve an effective and well-in-formed therapeutic diagnosis. The last group was 43(13.6%) in¬dividuals who through one of the HIV enlightenment awareness campaigns agreed to be tested. Also, in Table 1, the results show that more Christians 225(71%) participated in the study than the Muslims 92(29%). Finally, Table 1 also revealed that there is a sig¬nificant relationship between sex or gender and HIV discordance as the Chi-square p-value is 0.00, far below the 0.05 confidence limit. The results shown in Table 2 indicate that most of the factors: Religion, Education, Employment, Unprotected sex, Extramarital affairs, Tattoo, Surgery, Tribal marks, and Blood transfusion do not have any association with HIV discordance among couples. However, on the other hand, factors such as Remarriage, use of antiretroviral drugs (ART), premarital sex, polygamy, and male/ female circumcision can cause HIV discordance among couples.

Table 2: Social Factors Associated with HIV Discordance (N= 317)

Factor

Yes (%)

No (%)

P- Value

Education

262 (82.6)

55 (17.4)

0.29

Employment

49 (15.5)

224 (70.1)

0.40

Remarriage

72 (22.7)

245 (77.3)

0.01*

Unprotected Sex

296 (93.4)

21 (6.6)

0.49

ART

157 (49.5)

160 (50.5)

0.00*

Premarital Sex

147 (46.6)

170 (53.6)

0.00*

Extramarital Affairs

46 (14.5)

271 (85.5)

0.54

Polygamy

35 (11.0)

124 (39.1)

0.00*Marks/ Tattoo

20 (6.3)

297 (93.7)

0.63

Surgery/ Operation

51 (16.1)

266 (83.9)

0.46

Tribal Marks

137 (43.2)

180 (56.8)

0.13

Male/ Female Circumcision

165 (52.1)

152 (47.9)

0.00*

Blood Transfusion

55 (17.4)

262 (82.6)

0.44

Religion

Christianity

Islam

 

225 (71.0)

92 (29.0)

0.97

* Statistically Significant Factor

<img src="https://www.opastpublishers.com/scholarly-images/1884-69d73192065f0-demographic-and-social-factors-associated-with-hiv-discordan.png" width="500" height="300">
Figure 1: HIV Status of Respondents (N= 317)

Figure 1 shows a higher incidence of HIV infection among women partners 105(66.04%) than the men 53(33.54%) in Kaduna State.

Table 3: Incidence of HIV Discordance in Kaduna State (N= 317)

Item

Number of People

Percentage (%)

Total Population

6, 115, 503

100

HIV Prevalence

67, 271

1.1

HIV Sero- discordance

158

0.2

Table 3 shows a state discordance prevalence of 0.2% as calculated from a United Nations national report of 2019 which places Kaduna on a state HIV prevalence of 1.1%.

Discussion

The study revealed in Table 1, that most of the population 161(50.8%) had secondary education while the lowest size of the population 29(9.1%) had acquired tertiary education. If we relate this to Kaduna State, we could conclude that the results gave a reflection of the educational coverage of the state. This means about 51% of Kaduna State people had secondary education while only about 9% had tertiary education. 72(22.7%) of respondents had primary education while 55(17.4%) had no education at all. Similarly, we can say that 22.7% of Kaduna State people had pri¬mary education while 17.4% were not literate at all. 135(42.6%) of respondents got to know of their HIV status by voluntary test¬ing, while 71(22.4%) were pregnant women who got tested while on antenatal care (ANC) clinics. Even though awareness has only 43(13.6%), when we sum it up with voluntary testing, the result 178(56.2%) gives a huge success rate for the global campaign on voluntary counseling and testing in Kaduna State. This also agrees with the WHO guidelines on HIV counseling and testing services [14]. Table 1 also revealed that more Christians 225(71%) partic-ipated in the study than Muslims 92(29%). This result also points to the fact that in treatment centers more Christians were seen participating- even in Muslim- dominated areas. This is because of stigmatization; people moved far away from their localities to access treatment in strange lands where the chances of identifica¬tion were very slim. This agrees with the reports of Earnshaw and Kalichman and Saki et al. [15,16] Figure 1 shows the distribution of respondents based on their HIV status. The results show that more men 105(66.46%) were HIV negative while more women 105(66.04%) were HIV positive. This really agrees with what we see in the communities- more women are positive than men; and this goes in line with the report of Magaji et al. [17]. Biologically, women are two to eight times more likely than men to contract HIV during vaginal intercourse and obviously, our results agree with such findings [18,19]. We can also conclude that a large pro¬portion of HIV discordance in Kaduna State is “soft discordance” [20]. On the other hand, the results in Figure 1 do not agree with one particular report which found out that more men were HIV positive among discordant couples in Anambra State, Nigeria [20]. The results in Table 2 showed us an array of social factors that were associated with HIV discordance [21]. Chi-square tests for these factors showed that for p-valueƋ? 0.05: only remarriage, use of ART, pre-marital sex, polygamy, and male/female circumcision affected HIV discordance. But this result did not agree with an ear¬lier report which stated that ARV/ART does not have a significant difference with discordance [22]. Other factors such as religion, education, employment, unprotected sex, extramarital affairs, body marks/tattoo, surgery/operation, and tribal marks do not af¬fect HIV discordance; this seems to disagree with Akani et al. who reported that extramarital affair is a factor that predisposes to HIV sero-discordance [23]. So, it can be deduced that based on this study, factors that predispose to HIV discordance are: REMAR¬RIAGE, USE OF ART, PRE- MARITAL SEX, POLYGAMY, and MALE/FEMALE CIRCUMCISION. Table 3 results showed that Kaduna State HIV prevalence was 1.1%, from which HIV dis-cordance prevalence was calculated to be 0.2%. This agrees with Magaji et al. who reported low sero- discordance in Plateau State Nigeria [17].

Conclusion

In this study, we observed that about 17.4% of people in Kaduna State were not literate while 51% of the population had second-ary education. The results of ‘‘how respondents got to know about their HIV status’’ revealed to us a 56.2% success rate for voluntary counseling and testing (VCT) in Kaduna State, Nigeria. Also, we discovered as always that more women 66.04% were HIV positive than men in the population- the major reason being their biological make-up. The prevalence of discordance in Kaduna State was also seen to be, low at 0.2%. Furthermore, factors that predispose to HIV discordance include male/female circumcision, use of ART, remarriage, premarital sex, and polygamy.

List Of Abbreviations

HIV, AIDS, ANC, ART, ARV, VCT, LGA.

Compliance with Ethical Standards

Ethics approval and consent to participate- The study was con¬ducted according to ethical standards for human studies as ap¬proved by the research and ethics review committee of the Kaduna State Ministry of Health, and Human Services. MOH/ADM/744/ VOL.1/913. See document here https://drive.google.com/file/d/1_ JnIr30XLQWQVNwVoAZLWY39x2cbg-mB/view?usp=sharing Informed consent was obtained from all participants to take part in the study, after adequate explanations on the purpose, risk, meth¬od, and benefit of the research. LINK https://drive.google.com/ file/d/1_uWS7jP01VAPzbf6pmtGcm61afmWKUc6/view?us-p=sharing Consent for Publication- Consent was received from participants. See LINK https://drive.google.com/file/d/1eVGY-J7F-QOuDfrfiN7o9B10PjPHvr0Bs/view?usp=sharing

Author Contributions

Danboyi DA conceived the study and participated in its design and coordination. Sani MN and Danboyi DA conducted the statistical analysis. Danjuma L and Abdullahi M handled the study review.

Acknowledgements

The authors wish to appreciate the support of the Kaduna State ministry of health for making their facilities and staff available for this study. The Clients who visited these treatment centers to access anti- retroviral treatment are also recognized for their co¬operation.

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