Metabolic Syndrome Epidemiology And Sociocultural Contexts Among People Living With Hiv In Gedeo Zone Southern Ethiopia.

Background: following an intensive global operation of antiretroviral therapy (ART), thernworldwide morbidity and mortality from infectious diseases have occupied a backseat. Instead, arnnon-communicable diseases (NCDs) risk marker called metabolic syndrome (MS) has emerged. rnMS is risk factors for cardiovascular disease that has public health issue, which places social,rneconomic, and disease conditions on the community within the geographical region of subSaharanrnAfrica,rnincludingrnEthiopia.rnLitreaturesrnhavernshown thatrnhumanrnimmunodeficiencyrnvirusrnrn(HIV)rninfectedrnpatientsrnonrnARTrnhavernarn2-foldrnriskrnofrndyingrnfromrnMS.rnTherernarernnornsuchrnstudiesrnrninrnGedeornzone,rnsouthernrnEthiopia;rnhencernthe needrnforrnthisrnstudyrnto fillrnthisrngap.rnrnrnrnrnObjective:rnrnTo assess the epidemiology and the socio-cultural contexts of metabolic syndromernamong people living with HIV (PLHIVs), in the Gedeo Zone, Southern Ethiopia.rnrnMethods: This dissertation was conducted in the randomly selected two hospitals and healthrncenters. A mixed approach was used to address the objectives of this dissertation. To estimaternand compare the magnitude of overall MS among the two comparative groups, a comparativerncross-sectional design was employed among the randomly chosen PLHIVs from two hospitalsrnand two health centers, exist in the Gedeo zone, southern-Ethiopia (Paper I). The data collectionrnfor this study was run beginning from December 29rnthrn, 2017 up to January 22rnndrn− 2019, using thernWHO steep tool. Ultimately, the completed data was entered into Epidata (V-3.1) and exportedrnto SPSS (V− 22) for analysis. The revised Adult Treatment Panel three (ATP III) criterion wasrnused to define the overall MS and its corresponding traits. The mean, standard deviations, andrnproportions were used as a descriptive summary. Categorical data and the proportion of overallrnMS in the two groups were compared using binary logistic regression, and results were reportedrnstatistically significant at a p-value is less than 5%. To identify predictors of metabolic syndromernamong PLHIVs (Paper-II), a health institution-based unmatched case-control study wasrnconducted. All HIV-infected adult persons who are receiving routine care in the randomlyrnselected two hospitals and two health centers of the Gedeo zone were involved in the study, fromrnDecember 29rnth, 2017 to January 22nd, 2019. The PLHIVs diagnosed with overall MS using ATPrnIII criteria were considered as a case, and those subjects free of it in the survey were enrolled as controls. Binary logistic regression was employed to identify predictors of MS. In the crudernanalysis, all variables significant at (P

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