Predictors of Metabolic Syndrome Among People Living with HIV in Gedeo-Zone, Southern-Ethiopia: A Case–Control Study
Girma Tenkolu Bune,1 Alemayehu Worku Yalew,2 Abera Kumie3 1School of Public Health, Dilla University, Dilla, Ethiopia; 2Schools of Public Health, Addis Ababa University/AAU, Addis Ababa, Ethiopia; 3Schools of Public Health, Addis Ababa University, Addis Ababa, EthiopiaCorrespondence: Girma Tenkolu B...
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| Formato: | article |
| Lenguaje: | EN |
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Dove Medical Press
2020
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| Acceso en línea: | https://doaj.org/article/fa9e79f423414ddb91d8bfdf85b18fc2 |
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| Sumario: | Girma Tenkolu Bune,1 Alemayehu Worku Yalew,2 Abera Kumie3 1School of Public Health, Dilla University, Dilla, Ethiopia; 2Schools of Public Health, Addis Ababa University/AAU, Addis Ababa, Ethiopia; 3Schools of Public Health, Addis Ababa University, Addis Ababa, EthiopiaCorrespondence: Girma Tenkolu BuneSchool of Public Health, Dilla University, Dilla, EthiopiaEmail girmatenkolu1973@gmail.comBackground: Intensive access to antiretroviral therapy improved the prognosis of HIV. As a result, a non-communicable disease risk marker known as metabolic syndrome (MS) has emerged. It is a public health issue in sub-Saharan Africa including Ethiopia. However, there is little literature on predictors of MS among people living with HIV (PLHIVs) in the study area context.Purpose: To identify predictors of metabolic syndrome among PLHIVs, Gedeo Zone, Southern-Ethiopia.Methods: Health institutions-based unmatched case–control study was conducted. All HIV-infected adult persons who are receiving routine care in the randomly selected two hospitals and two health centers of the Gedeo zone, southern Ethiopia were involved in the study, conducted from December 29th, 2017, to January 22nd, 2019. PLHIVs diagnosed with MS using ATP III criteria were considered as a case, and subjects free of MS in the survey were enrolled as controls. Binary logistic regression was employed to identify predictors of MS.Results: A total of 633 (139 cases and 494 controls) PLHIVs were included in the study. The multivariable analysis result found that age (AOR=1.09, 95% CI (1.05– 1.12)); educational status being completed secondary school (AOR=0.22, 95% CI (0.02– 0.42)); occupational status being of students (AOR=0.11, 95% CI (0.24– 0.51)); wealth index being in the middle quintile (AOR=0.22, 95% CI (0.06– 0.79)); ART status exposed to ART (AOR=3.07, 95% CI (1.37– 6.89)); total physical activity state being physically active (AOR=0.36, 95% CI (0.16– 0.79)), and engaged in low levels physical activity (AOR=3.83, 95% CI (1.46– 10.05)) were the factors significantly associated with MS.Conclusion: While education, occupation, wealth index, antiretroviral therapy status, total physical activity, and lower physical activity levels were concluded by the study as modifiable predictors of metabolic syndrome, age was found as a non-modifiable independent risk of metabolic syndrome. There is a need for an ongoing effort to realize an integrated care plan that addresses both the routine care and regular screening programs to reduce the risks associated with MS and its traits in these subjects.Keywords: predictors, risk factors, metabolic syndrome, Gedeo zone, southern-Ethiopia |
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