Cross-sectional study of patients with type 2 diabetes in OR Tambo district, South Africa

Adeniyi, Oladele Vincent; Yogeswaran, Parimalaranie; Longo-Mbenza, Benjamin; Goon, Daniel Ter; Ajayi, Anthony Idowu

doi:10.1136/bmjopen-2015-010875

Cited by 40 publications

(55 citation statements)

References 29 publications

(43 reference statements)

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“…The possible explanation for this are factors such as the timing of initiation of insulin and insulin regimen schedules. This phenomenon has also been reported elsewhere [56,57 ], and we will again be looking at this further in future research projects.…”

Section: Discussionsupporting

confidence: 84%

Determinants of glycemic control among diabetes mellitus patients in a tertiary clinic in Gaborone, Botswana: findings and implications

et al. 2018

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Background and aims: Glycemic control among patients with diabetes mellitus is associated with a marked reduction of both macrovascular and microvascular complications; however, glycemic control remains an elusive goal worldwide. The aim of this study was to determine factors associated with glycemic control among patients attending a tertiary clinic in Botswana as limited information to date. Methods: Cross-sectional study in a tertiary clinic in Gaborone, Botswana. Patients were recruited between 21 st July 2015 and 21 st September 2015. The majority of the randomly recruited patients (368/380-96.8%) had documentation of glycemic control (HbA1c) within three months of study recruitment and were subsequently included in the analysis. Glycemic control was categorized as desirable, suboptimal and poor if HbA1c was < 7%, 7-9% and > 9% respectively. Data was analyzed using SPSS for descriptive statistics including both bivariate and multinomial logistic regression. Ap-value < 0.05 was considered statistically significant. Results: The analyzed study population consisted of 258/368 (70.1%) females with a mean age (SD) of 56.7± 13.6 years. Means (SDs) for diabetes duration and glycated haemoglobin were 7.2± 7.1 years and 7.97± 2.02% respectively. Of the 368 patients, 136 (36.95%) and 132/368 (35.86%) had desirableand suboptimal glycemic control respectively. Older age, attending the clinic for more or equal to 3 years and not being on insulin were associated with both desirable and suboptimal glycemic control whereas duration of diabetes between 5-10 years was associated with poor glycemic control. Conclusions: The majority of patients had poor glycemic control. Older age and not being on insulin were associated with better glycemic control. The fact that patients on insulin had poor glycemic control calls for more research to determine timing of insulin initiations and dosing schedule factors as these will help toimprove overall glycaemic control in Botswana and elsewhere.

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Section: Discussionsupporting

confidence: 84%

Determinants of glycemic control among diabetes mellitus patients in a tertiary clinic in Gaborone, Botswana: findings and implications

et al. 2018

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“…The result of this study showed that the level of glycemic control among type II diabetic patients is 71.4% which is consistent with the finding at Dessie Referral Hospital (70.8%), Jimma University Teaching Hospital (70.9%), Turkey (67.5), Myanmar (72.1%), and Saudi Arabia (74.9%) [ 12 , 20 , [30] , [31] , [32] ]. On the other hand, it is below than the study conducted at Tikur Anbessa Hospital (80%), South Africa (83.8%), Kenya (81.6%), India (91.8%), and Palestine (80.5%) [ [33] , [34] , [35] , [36] , [37] ]. On the other hand, it is higher than the study done at Zambia (61.3%), Limmu Genet Hospital (63.8%), Suhul Hospital (63.5%), Nigeria (55%), Ayider Specialized hospital (48.7%) and Shenen Gibe Hospital (59.2%) [ 21 , [38] , [39] , [40] , [41] , [42] ].…”

Section: Discussionmentioning

confidence: 80%

Level of glycemic control and its associated factors among type II diabetic patients in debre tabor general hospital, northwest Ethiopia

et al. 2020

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Introduction Poor glycemic control is the major risk factor for the development of acute and chronic diabetes complications. There are limited studies on the level of glycemic control and its associated factors among diabetic patients. So, this study aimed to assess the level of glycemic control and its associated factors among type II DM patients in Debre Tabor General Hospital. Methods An institution based cross sectional study was conducted from November 1–30, 2017. Totally, 413 diabetic patients selected by systematic random sampling. The three months average fasting blood glucose was used to determine glycemic control. Regressions were fitted to identify associated factors. A p-value <0.05 was used to declare statistical significance. Result A total of 398 study participants were participated in the study with a response rate of 96.4%. Among 398 type II DM patients, 284 (71.4%) had poor glycemic control. Patient’s educational status (able to read and write; AOR = 3.0, 95%CI (1.5, 5.7), (primary education; AOR = 4.5, 95%CI (1.8, 10.9), and (secondary education; AOR = 5.7, 95% CI (2.9, 11.2)))), family history of DM (AOR = 2.3, 95%CI (1.4, 3.9)), duration of DM since diagnosis (AOR = 0.3, 95% CI (0.1, 0.9)), and dietary adherence (AOR = 2.4, 95% CI (1.4, 4.1)) were associated factors to had good glycemic control. Conclusion Poor glycemic control was high. Educational status, family history of DM, duration of DM, and dietary adherence were the associated factors of glycemic control. Appropriate attention shall be given for glycemic control especially for patients with a longer duration. Health promotion related to medical recommendations is a cross-cutting intervention for diabetic patients and should be provided for all type II diabetic patients.

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“…It was found that the duration of HIV infection, large abdominal circumference, 19 overweight/obesity, sedentary living, low income and lack of information were contributing factors for developing dysglycemia in African populations. 23 Higher baseline HIV 1 RNA and body mass index (BMI) were also established to be associated with greater risks. 24 Surprisingly, Tzur et al found that HIV-infected Ethiopians are more likely to develop DM at low BMI values compared to non-Ethiopians.…”

Section: Methodsmentioning

confidence: 99%

Diabetes, metabolic syndrome and dyslipidemia in people living with HIV in Africa: re-emerging challenges not to be forgotten

Husain¹,

Noor²,

Elmadhoun³

et al. 2017

HIV

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BackgroundThe current challenge in managing people living with human immunodeficiency virus (PLWHIV) includes the identification and monitoring for comorbid health risks associated with HIV and its treatment and longer survival. Dyslipidemia, diabetes mellitus and metabolic syndrome are increasingly seen in PLWHIV.ObjectiveIn this narrative review, we aimed to summarize the current knowledge about diabetes, dyslipidemia and metabolic syndrome in PLWHIV in Africa and also to discuss the challenges that patients as well as health authorities in Africa may face.MethodsPubMed and Google scholar published-English literatures concerning earlier mentioned entities regardless of time limit were critically reviewed.ResultsThe prevalence of metabolic disorders in HIV population in Africa was estimated to range from 2.1% to 26.5% for diabetes and 20.2% to 43.5% for pre-diabetes, 13% to 58% for metabolic syndrome and 13% to 70% for dyslipidemia.ConclusionThe management of metabolic disorders and cardiovascular disease risks related to HIV is complex especially in Africa due to healthcare resources, but our experience suggests that metabolic clinic is beneficial to patients and staff and should be an important part of HIV services especially as the older HIV population is increasing. In this context, cardiovascular risk assessment of HIV-infected patients will become an important component of care in developing countries in Africa and strategies are needed to deal with progressive increase in the epidemic of type 2 diabetes, dyslipidemia and metabolic syndrome.

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Cross-sectional study of patients with type 2 diabetes in OR Tambo district, South Africa

Cited by 40 publications

References 29 publications

Determinants of glycemic control among diabetes mellitus patients in a tertiary clinic in Gaborone, Botswana: findings and implications

Determinants of glycemic control among diabetes mellitus patients in a tertiary clinic in Gaborone, Botswana: findings and implications

Level of glycemic control and its associated factors among type II diabetic patients in debre tabor general hospital, northwest Ethiopia

Diabetes, metabolic syndrome and dyslipidemia in people living with HIV in Africa: re-emerging challenges not to be forgotten

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