Glycemic Control in a Clinic-Based Sample of Diabetics in M'Bour Senegal

Glycaemic control among type 2 diabetes patients in sub-Saharan Africa from 2012 to 2022: a systematic review and meta-analysis

BACKGROUND

There is an increased burden of diabetes globally including in sub-Saharan Africa. The literature shows that glycaemic control among type 2 diabetes patients is poor in most countries in sub-Saharan Africa. Understanding the factors influencing glycaemic control in this region is therefore important to develop interventions to optimize glycaemic control. We carried out a systematic review to determine the prevalence and factors associated with glycaemic control in sub-Saharan Africa to inform the development of a glycaemic control framework in the Democratic Republic of the Congo.

METHODS

We searched five databases (African Index Medicus, Africa-Wide Information, Global Health, PubMed, and Web of Science) using the following search terms: type-2 diabetes, glycaemic control, and sub-Saharan Africa. Only peer-reviewed articles from January 2012 to May 2022 were eligible for this review. Two reviewers, independently, selected articles, assessed their methodological quality using Joanna Briggs checklists, and extracted data. A meta-analysis was performed to estimate the prevalence of glycaemic control. Factors associated with glycaemic control were presented as a narrative synthesis due to heterogeneity as assessed by the I2.

RESULTS

A total of 74 studies, involving 21,133 participants were included in the review. The pooled prevalence of good glycaemic control was 30% (95% CI:27.6-32.9). The glycaemic control prevalence ranged from 10-60%. Younger and older age, gender, lower income, absence of health insurance, low level of education, place of residence, family history of diabetes, longer duration of diabetes, pill burden, treatment regimen, side effects, use of statins or antihypertensives, alcohol consumption, smoking, presence of comorbidities/complications, and poor management were associated with poor glycaemic control. On the other hand, positive perceived family support, adequate coping strategies, high diabetes health literacy, dietary adherence, exercise practice, attendance to follow-up, and medication adherence were associated with good glycaemic control.

CONCLUSION

Suboptimal glycaemic control is pervasive among patients with type-2 diabetes in sub-Saharan Africa and poses a significant public health challenge. While urgent interventions are required to optimize glycaemic control in this region, these should consider sociodemographic, lifestyle, clinical, and treatment-related factors. This systematic review and meta-analysis protocol is registered in PROSPERO under CRD 42021237941.

Prevalence and factors associated with hyperglycemia in a rural population of Tanvè and Dékanmey in Benin in 2019

BACKGROUND

Hyperglycemia leads to serious damage to the body, especially the blood vessels and nerves. This study aimed to determine the prevalence and factors associated with hyperglycemia in a rural population of Tanvè and Dékanmey in Benin in 2019.

MATERIALS AND METHODS

This was a cross-sectional, descriptive and analytical study, nested in the Tanvè Health Study (TAHES) cohort. It covered all residents of the villages of Tanvè and Dékanmey, aged 25 years and above, and having given their written consent. Data were collected in the households during the fourth annual monitoring visit in 2019 using the WHO STEPS Wise approach. Hyperglycemia was defined as a fasting capillary blood glucose value ≥ 110 mg/dL. Data were analyzed with R Studio software version 3.5.1.

RESULTS

A total of 1331 subjects were included in the study with a 60% female predominance and a sex ratio (male/female) of 0.7. The median age was 40 years (Q1 = 32 years; Q3 = 53 years) with a range of 25 and 98 years. The prevalence of hyperglycemia was 4.6%. In multivariate analysis, advanced age (AOR = 1.03; 95%CI = 1.02-1.73; p = 0.004), male sex (AOR = 2.93; 95%CI = 1.49-5.84; p = 0.023), monthly income> 105,000 FCFA (AOR = 2.63; 95%CI = 1.24-5.63; p = 0.030), abdominal obesity (AOR = 2.80; 95%CI = 1.29-6.16; p = 0.007, and obesity (AOR = 1.68; 95%CI = 0.75-3.59; p = 0.004) were statistically associated with hyperglycemia.

CONCLUSION

The prevalence of hyperglycemia is not negligible in rural areas in Benin. Our study found that older age, male gender, high income, abdominal obesity, and obesity are determining factors in its occurrence.

Magnitude and predictors of poor glycemic control among patients with diabetes attending public hospitals of Western Ethiopia

BACKGROUND

Diabetes is one of the most prevalent non-communicable diseases globally, which rapidly is increasing in developing countries. Ethiopia is also facing growing morbidity and mortality related to diabetes complications. Thus, dealing with glycemic control is essential for controlling the development of devastating acute and chronic complications related to diabetes. Therefore, this study aims to assess the magnitude and predictors of poor glycemic control among diabetic patients in western Ethiopia.

METHODS

The cross-sectional study design was employed on a sample of 423 diabetic patients. A systematic random sampling method was employed. An interviewer-administered structured questionnaire was used. The data entered into Epi data version 3.1 and exported into Statistical Package for the Social Sciences window version 24 for analysis. All variables significant at p-<0.25 in bivariate were entered into multivariate analysis. The multivariable logistic regressions were used to determine predictors' poor glycemic control by considering the Adjusted Odds Ratio at CI 95% and the significance level was set at p <0.05.

RESULTS

The magnitude of poor glycemic control was 64.1%. Being females (AOR = 1.684,95%CI = 1.066,2.662), duration of diabetes >8years (AOR = 2.552,95%CI = 1.397, 4.665), presence of diabetes complication (AOR = 2.806,95%CI = 1.594,4.941), negligence of blood glucose test at home (AOR = 1.720, 95%CI = 1.078, 2.743), poor self-care behavior (AOR = 1.787, 95%CI = 1.083,2.959) and poor self-efficacy (AOR = 1.934, 95%CI = 1.078,3.469) were significant predictors of poor glycemic control.

CONCLUSION

The proportion of poor glycemic control was high which was nearly comparable to that reported from many countries. This could be due to factors that were significantly associated with poor glycemic control like lack of home blood glucose test, increased duration of diabetes, presence of diabetes complications, poor self-efficacy, and poor self-care behaviors. Each were significant independent predictors of poor glycemic control. Thus, we recommend patients with diabetes and health care providers enhancing self-monitoring practices, and preventing potential complications should be a priority concern to improve blood glucose levels. Further studies are also recommended to explore important factors which were not identified by the current study.

Non-Dietary Factors Associated with Glycemic Status among Adults Diagnosed with Type 2 Diabetes Mellitus in Malawi

We assessed glycemic status and associations with socio-demographic, biomedical, anthropometric, and physical activity (PA) levels among adults with type 2 diabetes mellitus (T2DM) (n = 428; urban n = 288; semi-urban n = 140) using a cross-sectional study. Multivariate linear regression was used to determine factors associated with glycosylated hemoglobin (A1C) . A1C was clinically elevated ≥8% for 60.3% of the participants. Overall, age and PA levels showed a negative association with A1C, and positively with underweight status, duration of diabetes, and participants' view of fluctuating/unstable blood glucose and blood glucose not improved compared to first diagnosed. A significant negative association with A1C was shown with PA levels and additional blood glucose monitoring (BGM) beyond that received at the public clinic in the urban area. Whilst, in the semi-urban area, there was a significant positive association with A1C with regards to duration of diabetes and insulin regimen. Determinants of A1C in this target group are multifactorial, therefore, interventions aiming to improve diabetes clinical outcomes are needed to reduce the likelihood of serious ramifications. Additionally, a team approach from healthcare professionals is needed in conjunction with active patient engagement as well as the development of more comprehensive diabetes care guidelines and policies.

Exploring the Concept of Food Insecurity and Family Hunger in Senegal, West Africa

Using a previously validated instrument, surveys were conducted by researchers in a Senegalese village to elicit data on childhood food insecurity and health outcomes. Fifty-four participants were interviewed and completed the Community Childhood Hunger Identification Project (CCHIP) survey. More than half of the adults experienced hypertension or diabetes and also reported childhood food insecurity. The role of food coping strategies and social support were identified as factors that minimized the burden of food insecurity. Further testing with instruments that include analysis of cyclic food access patterns is warranted to best determine how to combat both food insecurity and noncommunicable chronic disease incidence in Senegalese families.

Physical Activity Pattern and Its Association with Glycaemic and Blood Pressure Control among People Living with Diabetes (PLWD) In The Ho Municipality, Ghana

Background

Physical activity (PA) offers considerable health benefits for diabetic patients. However, extensive high levels of inactivity has been reported among diabetic patients. This study sought to assess the patterns of physical activity and its relationship with two management-relevant outcomes (glycaemic and blood pressure control)among people living with diabetes in the Ho Municipality, Ghana.

Methods

A hospital-based cross-sectional study was carried out from January 2017 to April 2017 among 150 purposively recruited diabetic patients who were receiving care at the diabetes clinics of the Volta Regional Hospital and the Ho Municipal Hospital. A semi-structured questionnaire was used in capturing socio-demographic information. Physical activity was assessed using the International Physical Activity Questionnaire Short Form. Glycaemic and blood pressure control were evaluated within a three-month period from patients' records.

Results

Physical activity estimates among participants were 21.33%, 48% and 30.67% for high, moderate and low PA respectively. Glycaemic control among the study participants was 33.33% and blood pressure control was 58.67%. Both glycaemic and blood pressure control were significantly associated with PA.

Conclusion

In this group of PLWD in the Ho Municipality, high levels of inactivity, uncontrolled glycaemia and blood pressure exist. However, glycaemic and blood pressure control may be modulated by moderate-intensity physical activity.

Diabetes management in Senegalese families: A dyadic-narrative illustration

Objectives In many Sub-Saharan African cultures, diabetes self-management behaviors such as dietary adherence do not occur in isolation but are carried out in the context of local culture, a significant factor in shaping those health behaviors. Methods Using a family-based narrative approach, we explore how Senegalese families manage diabetes. We interviewed twenty people living with diabetes and selected family caregivers from MBour, Senegal. Results We found that people living with diabetes experienced physical, emotional, and financial stressors as a result of managing their condition. In addition, family caregivers play an important role in managing their family member's diabetes. Discussion The act of caregiving affects caregiver diabetes prevention behaviors. In some cases, this caregiving role leads to an increase of healthy behaviors such as reducing dietary sugar; however, in some cases, caregivers do not see the need to engage in healthy behaviors. Diabetes prevention and management interventions that support both Senegalese people living with diabetes and their family caregivers are warranted.

Assessment of glycemic control in type 2 diabetes in the Eastern Sudan

Objectives

A cross-sectional study was conducted in Gadarif, eastern Sudan to assess glycaemic control among adult patients with type 2 diabetes in eastern Sudan. Poor glycaemic control was defined as HbA1c level of ≥ 7.0%. Questionnaire was used to gathered sociodemographic and clinical characteristics.

Results

A total of 339 patients (69.9% were women) were enrolled in the study. The mean age of the participants was 54.8 (12.8) years. Approximately more than two-thirds (n = 243, 71.7%) of the participants were using oral glucose control agents. A round one-fifth (22.1%) of the participants were using insulin and only 6.2% of them were using both insulin and oral glucose control agents. The rate of poor glycemic control was 71.9%. In logistic regression analyses, duration of diabetes, medications used, and the triglycerides were not associated with poor glycemic control. However, being unmarried (OR = 3.64, 95% CI 1.21–10.90), adding sugar to the drinks (OR = 1.84, 95% CI 1.11–3.05, P = 0.017) and high cholesterol level (OR = 1.01, 95% CI 1.01–1.02.) were associated with poor glycemic control. In summary the rate of uncontrolled type 2 diabetes mellitus was considerably high especially among being unmarried patients and patients who were adding sugar to the drinks.

Readiness of Sub-Saharan Africa Healthcare Systems for the New Pandemic, Diabetes: A Systematic Review

Background

Effective health systems are needed to care for the coming surge of diabetics in sub-Saharan Africa (SSA).

Objective

We conducted a systematic review of literature to determine the capacity of SSA health systems to manage diabetes.

Methodology

We used three different databases (Embase, Scopus, and PubMed) to search for studies, published from 2004 to 2017, on diabetes care in SSA.

Results

Fifty-five articles met the inclusion criteria, covering the different aspects related to diabetes care such as availability of drugs and diagnostic tools, the capacity of healthcare workers, and the integration of diabetes care into HIV and TB platforms.

Conclusion

Although chronic care health systems in SSA have developed significantly in the last decade, the capacity for managing diabetes remains in its infancy. We identified pilot projects to enhance these capacities. The scale-up of these pilot interventions and the integration of diabetes care into existing robust chronic disease platforms may be a feasible approach to begin to tackle the upcoming pandemic in diabetes. Nonetheless, much more work needs to be done to address the health system-wide deficiencies in diabetes care. More research is also needed to determine how to integrate diabetes care into the healthcare system in SSA.