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Chireshe R, Manyangadze T, Naidoo K. Diabetes mellitus and associated factors among HIV-positive patients at primary health care facilities in Harare, Zimbabwe: a descriptive cross-sectional study. BMC PRIMARY CARE 2024; 25:28. [PMID: 38221613 PMCID: PMC10789024 DOI: 10.1186/s12875-024-02261-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 01/01/2024] [Indexed: 01/16/2024]
Abstract
BACKGROUND Highly active antiretroviral therapy (HAART) has improved the life expectancy of people living with HIV (PLWH) and has increased the risk of chronic non-communicable diseases. Comorbid HIV and diabetes mellitus (DM) significantly increase cardiovascular disease and mortality risk. This study aimed to determine the prevalence of type 2 diabetes mellitus among HIV-positive patients receiving HAART in Zimbabwe and its associated risk factors. METHODS This cross-sectional study was conducted at eight primary healthcare facilities in Harare, Zimbabwe, between January 2022 and March 2023. Non-probability convenience sampling was used to recruit adult HIV-positive patients undergoing HAART attending the facilities. Data were captured on clinical history and socio-demographic and behavioral characteristics, and analyzed using descriptive statistics to determine DM prevalence rates. Additionally, bivariate and multivariate logistic regression models were employed to examine factors associated with HIV and DM comorbidities. RESULTS A total of 450 participants were included in this study, of which 57.6% (n = 259) were female. The majority were married (73.8%) and older than 35 years (80.2%). Most participants had completed high school (87.6%) and 68.9% were employed either formally or self-employed. The prevalence of diabetes mellitus (DM) was 14.9%. HIV/DM comorbidity was more prevalent in patients who were female, self-employed, and smoked (p < 0.05). Multivariate logistic regression analysis revealed that the factors associated with DM-HIV comorbidity were gender, age, education, marital status, employment status, smoking, physical activities, duration of HAART, and diet. Age, level of education, marital status, and occupation were not associated with HIV-DM comorbidity. Obesity (body mass index > 30 kg/m2), smoking, and alcohol consumption were associated with an increased risk of DM. Regular physical activity is associated with a reduced risk of DM. CONCLUSION A substantial burden of DM was found in PLWH. The intersectoral integration approach is advocated, and active screening for DM is recommended. Gender-specific interventions are necessary to target diseases and health behaviors that differ between men and women. These interventions should be customized to the specific diseases and behaviors of each group.
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Affiliation(s)
- Rumbidzai Chireshe
- Discipline of Public Health Medicine, College of Health Sciences, University of KwaZulu-Natal, Howard Campus, Mazisi Kunene Road, Glenwood, Durban, 4041, South Africa.
| | - Tawanda Manyangadze
- Discipline of Public Health Medicine, College of Health Sciences, University of KwaZulu-Natal, Howard Campus, Mazisi Kunene Road, Glenwood, Durban, 4041, South Africa
- 2Department of Geosciences, School of Geosciences, Disasters, and Development, Faculty of Sciences and Engineering, Bindura University of Science Education, Bindura, Zimbabwe
| | - Keshena Naidoo
- Department of Family Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
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Gizamba JM, Davies J, Africa C, Choo-Kang C, Goedecke JH, Madlala H, Lambert EV, Rae DE, Myer L, Luke A, Dugas LR. Prevalence of obesity, hypertension and diabetes among people living with HIV in South Africa: a systematic review and meta-analysis. BMC Infect Dis 2023; 23:861. [PMID: 38062372 PMCID: PMC10704741 DOI: 10.1186/s12879-023-08736-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 10/23/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND HIV has become a manageable chronic condition due to the success and scale-up of antiretroviral therapy (ART). Globally, South Africa has the highest number of people living with HIV (PLHIV) and research evidence indicates that countries with the highest burden of PLHIV have a substantial burden of obesity, hypertension (HPT) and type 2 diabetes (T2D). We sought to summarize the burden of these three common NCDs among PLHIV in South Africa. METHODS In this systematic review, multiple databases were searched for articles reporting on the prevalence of obesity, HPT, and T2D among PLHIV in South Africa published since journal inception until March 2022. A meta-analysis was conducted using random-effects models to obtain pooled prevalence estimates of the three NCDs. Heterogeneity was assessed using X2 test on Cochran's Q statistic. RESULTS We included 32 studies, with 19, 22 and 18 studies reporting the prevalence of obesity, HPT, and T2D among PLHIV, respectively. The overall prevalence of obesity, HPT, and T2D was 23.2% [95% CI 17.6; 29.9], 25.5% [95% CI 15.6; 38.7], and 6.1% [95% CI 3.8; 9.7] respectively. The prevalence of obesity was significantly higher among women (P = 0.034) compared to men, however the prevalence of HPT and T2D did not differ by sex. The prevalence of each of the three NCDs did not differ significantly between rural, urban, and peri-urban areas. The prevalence of obesity and T2D was higher in studies conducted between 2013 and 2022 compared to studies conducted between 2000 and 2012, while the prevalence of HPT was higher between 2000 and 2012 compared to between 2013 and 2022. CONCLUSIONS These findings suggest that South Africa is experiencing a syndemic of NCDs among people PLHIV highlighting the need to increase cost-effective interventions and management strategies that involve integrated HIV and NCD care in the South African setting.
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Affiliation(s)
- Jacob M Gizamba
- Division of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Cape Town, South Africa
- Spatial Science Institute, University of Southern California, Los Angeles, USA
| | - Jess Davies
- Division of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Cape Town, South Africa
| | - Chad Africa
- Division of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Cape Town, South Africa
| | - Candice Choo-Kang
- Public Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, IL, USA
| | - Julia H Goedecke
- Biomedical Research and Innovation Platform, South African Medical Research Council, Tygerberg, Cape Town, South Africa
| | - Hlengiwe Madlala
- Division of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Cape Town, South Africa
| | - Estelle V Lambert
- Health Through Physical Activity, Lifestyle and Sport Research Centre, Division of Physiological Sciences, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Dale E Rae
- Health Through Physical Activity, Lifestyle and Sport Research Centre, Division of Physiological Sciences, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Landon Myer
- Division of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Cape Town, South Africa
| | - Amy Luke
- Public Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, IL, USA
| | - Lara R Dugas
- Division of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Cape Town, South Africa.
- Public Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, IL, USA.
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Jumare J, Dakum P, Sam-Agudu N, Memiah P, Nowak R, Bada F, Oguama U, Odonye G, Adebiyi R, Cairo C, Kwaghe V, Adebamowo C, Abimiku A, Charurat M. Prevalence and characteristics of metabolic syndrome and its components among adults living with and without HIV in Nigeria: a single-center study. BMC Endocr Disord 2023; 23:160. [PMID: 37507703 PMCID: PMC10375691 DOI: 10.1186/s12902-023-01419-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 07/19/2023] [Indexed: 07/30/2023] Open
Abstract
BACKGROUND Persons living with HIV (PLHIV) now live longer due to effective combination antiretroviral therapy. However, emerging evidence indicates that they may be at increased risk for some cardiometabolic disorders. We compared the prevalence of metabolic syndrome (MetS) and its component disorders between persons living with and without HIV in Nigeria. METHODS This was a cross-sectional analysis of baseline data from a prospective cohort study of non-communicable diseases among PLHIV along with age- and sex-matched persons without HIV (PWoH) at the University of Abuja Teaching Hospital Nigeria. We collected sociodemographic and clinical data, including anthropometric measures and results of relevant laboratory tests. MetS was defined using a modification of the third report of the National Cholesterol Education Program Adult Treatment Panel (NCEP ATP III) criteria. RESULTS Of the 440 PLHIV and 232 PWoH, women constituted 50.5% and 51.3% respectively. The median age of the PLHIV was 45 years while that of the PWoH was 40 years. The prevalence of MetS was 30.7% (95% CI: 26.4%, 35.2%) and 22.8% (95% CI: 17.6%, 28.8%) among the PLHIV and PWoH respectively (P = 0.026). Independent associations were found for older age (P < 0.001), female sex (P < 0.001), family history of diabetes (P < 0.001), family history of hypertension (P = 0.013) and alcohol use (P = 0.015). The prevalence of component disorders for PLHIV versus PWoH were as follows: high blood pressure (22.3% vs 20.3%), prediabetes (33.8% vs 21.1%), diabetes (20.5% vs 8.2%), high triglycerides (24.5% vs 17.2%), low HDL-Cholesterol (51.1% vs 41.4%), and abdominal obesity (38.4% vs 37.1%). Adjusting for age and sex, prediabetes, diabetes, and low HDL-Cholesterol were significantly associated with HIV status. Duration on antiretroviral therapy, protease inhibitor-based regimen, CD4 count, and viral load were associated with some of the disorders mostly in unadjusted analyses. CONCLUSION We found a high burden of MetS and its component disorders, with significantly higher prevalence of dysglycemia and dyslipidemia among PLHIV as compared to PWoH. Integration of strategies for the prevention and management of MetS disorders is needed in HIV treatment settings.
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Affiliation(s)
- Jibreel Jumare
- Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
- International Research Center of Excellence, Institute of Human Virology Nigeria, Federal Capital Territory, Abuja, Nigeria.
| | - Patrick Dakum
- Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
- International Research Center of Excellence, Institute of Human Virology Nigeria, Federal Capital Territory, Abuja, Nigeria
| | - Nadia Sam-Agudu
- Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
- International Research Center of Excellence, Institute of Human Virology Nigeria, Federal Capital Territory, Abuja, Nigeria
| | - Peter Memiah
- Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Rebecca Nowak
- Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Florence Bada
- Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Uzoamaka Oguama
- International Research Center of Excellence, Institute of Human Virology Nigeria, Federal Capital Territory, Abuja, Nigeria
| | - George Odonye
- International Research Center of Excellence, Institute of Human Virology Nigeria, Federal Capital Territory, Abuja, Nigeria
| | - Ruxton Adebiyi
- International Research Center of Excellence, Institute of Human Virology Nigeria, Federal Capital Territory, Abuja, Nigeria
| | - Cristiana Cairo
- Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Vivian Kwaghe
- University of Abuja Teaching Hospital, Abuja, Nigeria
| | - Clement Adebamowo
- Department of Epidemiology and Public Health, and Greenebaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Alash'le Abimiku
- Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
- International Research Center of Excellence, Institute of Human Virology Nigeria, Federal Capital Territory, Abuja, Nigeria
| | - Man Charurat
- Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
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