Shegaw Fentaye1, Desalegn Yibeltal2, Zenaw Tessema2. 1. Integrity Consultancy Service, Addis Ababa, Ethiopia. 2. Department of Pharmacy, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia.
Abstract
INTRODUCTION: Sub-Saharan African countries are the most affected region by HIV/AIDS. Data from Demographic and Health Survey (DHS) indicated that in Ethiopia older adults who are HIV positive were 2.1% which accounted 17.7% from all HIV positive people aged ≥15. Scarce data are available regarding the prevalence of HIV and associated factors among elderly peoples in Habru district. OBJECTIVE: To assess the prevalence of HIV and associated factors among older people ≥50 years' age in the study area. METHODS: A community-based cross-sectional study was employed. A multi-stage simple random sampling technique was employed and a total of 1689 study subjects were involved. Data were collected by trained health professionals and analyzed using descriptive and analytical statistics. Binary and multivariate logistic regressions were used to identify factors associated with the prevalence of HIV. P-value ≤0.05 was considered statistically significant. RESULTS: Total of 1689 participants were involved and tested for HIV sero-status of which 51.1% were females and the mean age was 62.4±12.34 years. The prevalence for HIV+ was 6.2%. From the multivariate regression model, significant association between prevalence and condom use at last sexual intercourse [AOR= 11.099; 95% CI (2.357,52.268)], condom use at high-risk sexual intercourse [AOR=0.088; 95% CI (0.020, 0.398)], marital status [AOR= 0.409; 95% CI (0.252,0.666)], religion [AOR= 0.431; 95% CI (0.241, 773)], types of previous work [AOR= 0.301; 95% CI (0.117, 0.770)], older people self-perception to risk of HIV infection [AOR= 3.731; 95% CI (2.280, 6.104)], care for HIV infected and non-infected grand children [AOR= 0.434; 95% CI (0.235, 800)], presence of care and support program [AOR= 6.128; 95% CI (1.532, 24.514)] was noticed. CONCLUSION: The prevalence of HIV in Habru was higher (6.2%) than the national level (2.1%) and efforts should be concentrated on designing new HIV intervention programs targeting older people aged ≥50years.
INTRODUCTION: Sub-Saharan African countries are the most affected region by HIV/AIDS. Data from Demographic and Health Survey (DHS) indicated that in Ethiopia older adults who are HIV positive were 2.1% which accounted 17.7% from all HIV positive people aged ≥15. Scarce data are available regarding the prevalence of HIV and associated factors among elderly peoples in Habru district. OBJECTIVE: To assess the prevalence of HIV and associated factors among older people ≥50 years' age in the study area. METHODS: A community-based cross-sectional study was employed. A multi-stage simple random sampling technique was employed and a total of 1689 study subjects were involved. Data were collected by trained health professionals and analyzed using descriptive and analytical statistics. Binary and multivariate logistic regressions were used to identify factors associated with the prevalence of HIV. P-value ≤0.05 was considered statistically significant. RESULTS: Total of 1689 participants were involved and tested for HIV sero-status of which 51.1% were females and the mean age was 62.4±12.34 years. The prevalence for HIV+ was 6.2%. From the multivariate regression model, significant association between prevalence and condom use at last sexual intercourse [AOR= 11.099; 95% CI (2.357,52.268)], condom use at high-risk sexual intercourse [AOR=0.088; 95% CI (0.020, 0.398)], marital status [AOR= 0.409; 95% CI (0.252,0.666)], religion [AOR= 0.431; 95% CI (0.241, 773)], types of previous work [AOR= 0.301; 95% CI (0.117, 0.770)], older people self-perception to risk of HIV infection [AOR= 3.731; 95% CI (2.280, 6.104)], care for HIV infected and non-infected grand children [AOR= 0.434; 95% CI (0.235, 800)], presence of care and support program [AOR= 6.128; 95% CI (1.532, 24.514)] was noticed. CONCLUSION: The prevalence of HIV in Habru was higher (6.2%) than the national level (2.1%) and efforts should be concentrated on designing new HIV intervention programs targeting older people aged ≥50years.