TY - JOUR
T1 - Metabolic control and determinants among hiv-infected type 2 diabetes mellitus patients attending a tertiary clinic in Botswana
AU - Rwegerera, Godfrey Mutashambara
AU - Shailemo, Dorothea H.P.
AU - Rivera, Yordanka Pina
AU - Mokgosi, Kathryn O.
AU - Bale, Portia
AU - Oyewo, Taibat Aderonke
AU - Luis, Bruno Diaz
AU - Habte, Dereje
AU - Godman, Brian
N1 - Publisher Copyright:
© 2021 Rwegerera et al.
PY - 2021
Y1 - 2021
N2 - Purpose: We primarily aimed at determining the prevalence of metabolic syndrome and abnormal individual metabolic control variables in HIV-infected participants as compared to HIV-uninfected participants given current concerns. Our secondary objective was to determine the predictors of metabolic syndrome and individual metabolic control variables among the study participants to guide future management. Patients and Methods: A descriptive, case-matched cross-sectional study for four months from 15th June 2019 to 15th October 2019 at Block 6 Diabetes Reference Clinic in Gaborone, Botswana. We compared the proportions of metabolic syndrome and individual metabolic control variables based on gender and HIV status by means of bivariate analysis (Chi-squared test or Fisher’s exact test) to determine factors associated with metabolic control. A p-value of less than 0.05 was considered statistically significant. Results: Overall, 86% of the study participants were found to have metabolic syndrome by International Diabetes Federation (IDF) criteria with 79.8% among HIV-infected and 89.1% among HIV-negative participants (p-value = 0.018). Older age was significantly associated with metabolic syndrome (p-value = 0.008). Female gender was significantly associated with metabolic syndrome as compared to male gender (P-value < 0.001), and with a statistically significant higher proportion of low HDL-C compared to males (P-value < 0.001). Female participants were significantly more likely to be obese as compared to males (P-value < 0.001). High triglycerides were more common in HIV-infected compared to HIV-negative participants (P-value = 0.004). HIV-negative participants were more likely to be obese as compared to HIV-infected participants (P-value = 0.003). Conclusion: Metabolic syndrome is an appreciable problem in this tertiary clinic in Botswana for both HIV-infected and HIV-negative participants. Future prospective studies are warranted in our setting and similar sub-Saharan settings to enhance understanding of the role played by HAART in causing the metabolic syndrome, and the implications for future patient management.
AB - Purpose: We primarily aimed at determining the prevalence of metabolic syndrome and abnormal individual metabolic control variables in HIV-infected participants as compared to HIV-uninfected participants given current concerns. Our secondary objective was to determine the predictors of metabolic syndrome and individual metabolic control variables among the study participants to guide future management. Patients and Methods: A descriptive, case-matched cross-sectional study for four months from 15th June 2019 to 15th October 2019 at Block 6 Diabetes Reference Clinic in Gaborone, Botswana. We compared the proportions of metabolic syndrome and individual metabolic control variables based on gender and HIV status by means of bivariate analysis (Chi-squared test or Fisher’s exact test) to determine factors associated with metabolic control. A p-value of less than 0.05 was considered statistically significant. Results: Overall, 86% of the study participants were found to have metabolic syndrome by International Diabetes Federation (IDF) criteria with 79.8% among HIV-infected and 89.1% among HIV-negative participants (p-value = 0.018). Older age was significantly associated with metabolic syndrome (p-value = 0.008). Female gender was significantly associated with metabolic syndrome as compared to male gender (P-value < 0.001), and with a statistically significant higher proportion of low HDL-C compared to males (P-value < 0.001). Female participants were significantly more likely to be obese as compared to males (P-value < 0.001). High triglycerides were more common in HIV-infected compared to HIV-negative participants (P-value = 0.004). HIV-negative participants were more likely to be obese as compared to HIV-infected participants (P-value = 0.003). Conclusion: Metabolic syndrome is an appreciable problem in this tertiary clinic in Botswana for both HIV-infected and HIV-negative participants. Future prospective studies are warranted in our setting and similar sub-Saharan settings to enhance understanding of the role played by HAART in causing the metabolic syndrome, and the implications for future patient management.
KW - Botswana
KW - Diabetes mellitus
KW - HIV
KW - Human immunodeficiency virus infection
KW - Metabolic syndrome
KW - Sub-Saharan Africa
UR - http://www.scopus.com/inward/record.url?scp=85099801730&partnerID=8YFLogxK
U2 - 10.2147/DMSO.S285720
DO - 10.2147/DMSO.S285720
M3 - Article
C2 - 33469326
AN - SCOPUS:85099801730
SN - 1178-7007
VL - 14
SP - 85
EP - 97
JO - Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
JF - Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
ER -