Prevalence of HIV testing uptake among the never-married young men (15-24) in sub-Saharan Africa: An analysis of demographic and health survey data (2015-2020)

被引:3
|
作者
Musonda, Emmanuel [1 ]
Phiri, Million [1 ,2 ,3 ]
Shasha, Liness [1 ]
Bwalya, Chiti [4 ]
Musemangezhi, Shuko [5 ]
Ishimwe, Sage Marie Consolatrice [6 ]
Kalinda, Chester [5 ]
机构
[1] Univ Zambia, Sch Humanities & Social Sci, Dept Populat Studies, Lusaka, Zambia
[2] Univ Witwatersrand, Demog & Populat Studies Programme, Sch Publ Hlth, Johannesburg, South Africa
[3] Univ Witwatersrand, Demog & Populat Studies Programme, Sch Social Sci, Johannesburg, South Africa
[4] MGIC, Lusaka, Zambia
[5] Univ Global Hlth Equ, Bill & Joyce Cummings Inst Global Hlth, Kigali, Rwanda
[6] Univ Global Hlth Equ, IGHER, Kigali, Rwanda
来源
PLOS ONE | 2023年 / 18卷 / 10期
关键词
DETERMINANTS; TRANSMISSION; INFECTION; RISK;
D O I
10.1371/journal.pone.0292182
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background In sub-Saharan Africa, HIV and AIDS remain a major public health concern among adolescents and young men. HIV testing is the first critical step for linking infected individuals to HIV treatment and prevention. However, HIV-testing uptake among sexually active young men remains low in the region. This study was conducted to assess the HIV testing rates among unmarried young men in sub-Saharan Africa. Methods Using data from the most recent country Demographic and Health Surveys (DHS) conducted between January 1, 2015, and December 31, 2020, in 18 sub-Saharan African countries, an Inverse Heterogeneity model (IVhet) using MetaXL software was used to estimate country, regional and sub-regional pooled estimates of HIV testing uptake among sexually active unmarried young men in sub-Saharan Africa. Furthermore, multivariable binary logistic regression was conducted to examine the factors associated with HIV testing uptake among unmarried young men. Results The overall pooled prevalence estimate of HIV testing uptake among sexually active unmarried young men in sub-Saharan Africa was 33.0% (95% CI: 21-45, I2 = 99%, p <0.001). There was variation in the prevalence across countries ranging from 7% (95% CI: 5-9) in Guinea to 77% (95% CI: 74-80) in Cameroon. Central Africa had the highest prevalence of HIV testing among unmarried young men, at 47% (95% CI:0-100) while West Africa had the lowest prevalence at 11% (95% CI:2-23). Results further show that young men aged 15-19 (aOR = 0.59, 95% CI 0.52-0.66) were less likely to test for HIV. Young men who spent 8 to 12 years in school (aOR = 3.26 95% CI 2.21-4.79) or 13 years and above (aOR = 3.56 95% CI 2.35-5.37) had increased odds of undertaking an HIV test. Conclusion The prevalence of HIV testing among sexually active unmarried young men remains low in sub-Saharan Africa. Therefore, the results suggest that health policymakers should consider re-evaluating the current HIV prevention policies and programmes with the view of redesigning the present HIV testing campaigns to enhance the uptake among young people.
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页数:13
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