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2.
AIDS Patient Care STDS ; 33(7): 299-307, 2019 07.
Article in English | MEDLINE | ID: mdl-31188016

ABSTRACT

We conducted a cross-sectional study of 148 HIV+ on HIV antiretroviral therapy and 149 HIV- adults in Mbarara, Uganda, to estimate the association between HIV infection and homeostasis model assessment of insulin resistance (HOMA-IR) using multivariable regression analysis. In addition, we evaluated whether intestinal fatty acid-binding protein (I-FABP), monocyte activation markers soluble (s)CD14 and sCD163, and proinflammatory cytokine interleukin 6 (IL-6) mediated this association. HOMA-IR was greater among HIV+ than HIV- adults [median (interquartile range): 1.3 (0.7-2.5) vs. 0.9 (0.5-2.4); p = 0.008]. In models adjusted for sociodemographic variables, diet, hypertension, and smoking history, HIV infection was associated with 37% [95% confidence intervals (95% CIs): 5-77] greater HOMA-IR compared with HIV- participants. The magnitude of association was greater when I-FABP was included as a covariate although the additive effect was modest (40% CI: 8-82). By contrast adding sCD14 to the model was associated with greater HOMA-IR (59%; 95% CI: 21-109) among HIV+ participants compared with HIV- participants. Among HIV+ participants, greater CD4 nadir was non-significantly associated with greater HOMA-IR (22%; 95% CI: -2 to 52). Each 5-unit increase in body mass index (BMI; 49% greater HOMA-IR; 95% CI: 18-87) and female sex (71%; 95% CI: 17-150) remained associated in adjusted models. In this study of mainly normal-weight Ugandan adults, HIV infection, female sex, and greater BMI were all associated with greater insulin resistance (IR). This association was strengthened modestly after adjustment for sCD14, suggesting possible distinct immune pathways to IR that are independent of HIV or related to inflammatory changes occurring on HIV treatment.


Subject(s)
Biomarkers/blood , Fatty Acid-Binding Proteins , HIV Infections/complications , HIV Infections/metabolism , Inflammation/metabolism , Insulin Resistance/physiology , Adult , Anti-Retroviral Agents/therapeutic use , Biomarkers/metabolism , Body Mass Index , Case-Control Studies , Cross-Sectional Studies , Diabetes Mellitus, Type 2/blood , Diabetes Mellitus, Type 2/complications , Female , Glucose Intolerance/blood , Glucose Intolerance/metabolism , HIV Infections/blood , HIV Infections/drug therapy , HIV Seronegativity , Humans , Inflammation/blood , Male , Middle Aged , Uganda
3.
BMC Cardiovasc Disord ; 19(1): 96, 2019 04 25.
Article in English | MEDLINE | ID: mdl-31023227

ABSTRACT

BACKGROUND: Sex-based differences in cardiovascular disease (CVD) burden are widely acknowledged, with male sex considered a risk factor in high-income settings. However, these relationships have not been examined in sub-Saharan Africa (SSA). We aimed to apply the American Heart Association (AHA) ideal cardiovascular health (CVH) tool modified by the addition of C-reactive protein (CRP) to examine potential sex-based differences in the prevalence of CVD risk in rural Uganda. METHODS: In a cross-sectional study nested within a population-wide census, 857 community-living adults completed physical and laboratory-based assessments to calculate individual ideal CVH metrics including an eight category for CRP levels. We summarized sex-specific ideal CVH indices, fitting ordinal logistic regression models to identify correlates of improving CVH. As secondary outcomes, we assessed subscales of ideal CVH behaviours and factors. Models included inverse probability of sampling weights to determine population-level estimates. RESULTS: The weighted-population mean age was 39.2 (1.2) years with 52.0 (3.7) % females. Women had ideal scores in smoking (80.4% vs. 68.0%; p < 0.001) and dietary intake (26.7% vs. 16.8%; p = 0.037) versus men, but the opposite in body mass index (47.3% vs. 84.4%; p < 0.001), glycated hemoglobin (87.4% vs. 95.2%; p = 0.001), total cholesterol (80.2% vs. 85.0%; p = 0.039) and CRP (30.8% vs. 49.7%; p = 0.009). Overall, significantly more men than women were classified as having optimal cardiovascular health (6-8 metrics attaining ideal level) (39.7% vs. 29.0%; p = 0.025). In adjusted models, female sex was correlated with lower CVH health factors sub-scales but higher ideal CVH behaviors. CONCLUSIONS: Contrary to findings in much of the world, female sex in rural SSA is associated with worse ideal CVH profiles, despite women having better indices for ideal CVH behaviors. Future work should assess the potential role of socio-behavioural sex-specific risk factors for ideal CVH in SSA, and better define the downstream consequences of these differences.


Subject(s)
Cardiovascular Diseases/epidemiology , Health Status Disparities , Rural Health , Women's Health , Adolescent , Adult , Aged , Biomarkers/blood , Blood Glucose/analysis , C-Reactive Protein/analysis , Cardiovascular Diseases/blood , Cardiovascular Diseases/diagnosis , Comorbidity , Cross-Sectional Studies , Female , Glycated Hemoglobin/analysis , Humans , Life Style , Lipids/blood , Male , Middle Aged , Prevalence , Risk Assessment , Risk Factors , Sex Factors , Uganda/epidemiology , Young Adult
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