Lifestyle and socio-economic inequalities in diabetes prevalence in South Africa: A decomposition analysis

Socioeconomic inequalities in the prevalence, non-awareness, non-treatment, and non-control of diabetes among South Korean adults in 2021

The purpose of this study was to investigate socioeconomic inequalities in diabetes prevalence, non-awareness, non-treatment, and non-control among South Korean adults in 2021. This cross-sectional study used data from the 2021 Korean National Health and Nutrition Examination Survey. Relative concentration indices (RCIs) and relative concentration curves stratified by sex and age were used to investigate socioeconomic inequalities in the prevalence, non-awareness, non-treatment, and non-control of diabetes. The prevalence, non-awareness, lack of treatment, and non-control rates in adults aged 30 years and older in 2021 were 15.9%, 29.5%, 33.3%, and 76.1%, respectively. Diabetes was more prevalent in participants under the age of 65 years than those aged 65 years and older for both men (RCI: -0.081, RCI: -0.158, respectively) and women (RCI: -0.203, RCI: -0.292, respectively). The larger the absolute value of the RCI in non-awareness and non-treatment of diabetes in women, the greater the level of socioeconomic inequalities (RCI: 0.182, RCI: 0.154). Socioeconomic inequalities existed in the prevalence of diabetes among both men and women aged under 65 years. In women, socioeconomic inequalities of non-awareness and non-treatment of diabetes were greater than those in men. Thus, preventive care and monitoring are required, particularly among women and individuals under the age of 65 years.

Prevalence and Determinants of Household Self-Reported Diabetes Mellitus in Gauteng, South Africa

Diabetes mellitus is one of the leading causes of morbidity and mortality worldwide. Type 2 diabetes mellitus is the most prevalent type of diabetes mellitus, and it is associated with both hereditary and lifestyle risk factors. South Africa is not exempt from this pandemic; hence, this paper aims to assess the prevalence and determinants of household self-reported diabetes mellitus in Gauteng, South Africa. Data were sourced from the Gauteng City-Region Observatory (GCRO) quality of life survey (2020/2021). Bivariate and multivariate logistic regressions were applied. The prevalence of household self-reported diabetes mellitus in Gauteng was 11.1%. The 'other population' group (which included Whites, Coloureds and Indians), as well as older respondents, higher household monthly food expenditure, poor self-perceived health status and household self-reported hypertension were factors that increased the odds of household self-reported diabetes mellitus. Only informal housing decreased the odds of household self-reported diabetes mellitus. Screening of diabetes mellitus among those with poor living conditions, no medical aid and lack of access to healthcare facilities such as Gauteng township and informal settlement residents should be intensified. This secondary disease prevention intervention is crucial, as it will enhance the appropriate referrals and timeous chronic treatment for those with diabetes mellitus.

Modelling the potential impact of a tax on fruit juice in South Africa: implications for the primary prevention of type 2 diabetes and health financing

BACKGROUND

South Africa is experiencing a persistent growth in non-communicable diseases. Diabetes is among the top ten causes of mortality, especially among women, which is partly driven by high levels of added sugar consumption and obesity. To reduce obesity rates and the incidence of diabetes, South Africa introduced a tax on sugar sweetened beverages (also known as the Health Promotion Levy (HPL)) in 2018. The tax is applicable to sugar-sweetened beverages but excludes 100% fruit juice. The government is currently considering extending the tax to include fruit juices. This study models the potential health and economic impact of taxing fruit juices at 20% of the retail price of one liter.

METHODS

To analyze the distributional impact of the tax, this study uses extended cost-effectiveness analysis methodology. Data on price elasticities, healthcare cost, income, fruit juice consumption were sourced from the literature and representative national surveys. The potential impact of the tax on diabetes incidence, prevalence, mortality, and financial benefits were estimated for each income group (lowest, quintile 1 to highest, quintile 5).

FINDINGS

We estimate that a 20% tax on fruit juice would avert 156,640 incident cases of type 2 diabetes mellitus over 20 years, with most disease averted occurring among the first- and fifth-income groups. Averted deaths from diabetes would average 2,000 deaths per quintile (for quintiles 1 to 4) and about 2,800 in quintile 5. The improved health resulting from averted incidence and deaths will reduce overall healthcare expenditure by R7.5 billion over 20 years, of which R2.3 billion will occur in the fifth quintile. The South African government will also save about R300 million in subsidizing diabetes-related healthcare cost as a result of prevention; and would raise R8.6 billion in tax revenues per annum. Out-of-pocket expenditure savings will be R303 million and a financial risk protection (money-metric value of insurance) of R4.6 billion over the 20-year period.

CONCLUSION

We conclude that an HPL that significantly raises the retail price of fruit juices would reduce consumption and diabetes-related morbidity and mortality. The tax will also provide significant financial benefits in the form of reduced healthcare costs for both government and households as well as providing financial risk protection to individuals. Health taxes are win-win policies that improve population health and generate revenue for governments to fund public health services delivery and thus improve overall health financing activities of the government. Therefore, population level disease prevention measures such as health taxes are important for achieving universal health coverage.

Awareness, treatment, and control among adults living with arterial hypertension or diabetes mellitus in two rural districts in Lesotho

In Lesotho, the hypertension and diabetes care cascades are unknown. We measured awareness, treatment, and control of hypertension and diabetes among adults ≥18 years and identified factors associated with each step of the cascade, based on data from a population-based, cross-sectional survey in 120 randomly sampled clusters in the districts of Butha-Buthe and Mokhotlong from 1st November 2021 to 31st August 2022. We used multivariable logistic regression to assess associations. Among participants with hypertension, 69.7% (95%CI, 67.2-72.2%, 909/1305) were aware of their condition, 67.3% (95%CI 64.8-69.9%, 878/1305) took treatment, and 49.0% (95%CI 46.3-51.7%, 640/1305) were controlled. Among participants with diabetes, 48.4% (95%CI 42.0-55.0%, 111/229) were aware of their condition, 55.8% (95%CI 49.5-62.3%, 128/229) took treatment, and 41.5% (95%CI 35.1-47.9%, 95/229) were controlled. For hypertension, women had higher odds of being on treatment (adjusted odds ratio (aOR) 2.54, 95% CI 1.78-3.61) and controlled (aOR 2.44, 95%CI 1.76-3.37) than men. Participants from urban areas had lower odds of being on treatment (aOR 0.63, 95% CI 0.44-0.90) or being controlled (aOR 0.63, 95% CI 0.46-0.85). Considerable gaps along the hypertension and diabetes care cascades in Lesotho indicate that access and quality of care for these conditions are insufficient to ensure adequate long-term health outcomes.

Health disparities and inequalities in prevalence of diabetes in the Kingdom of Saudi Arabia

BACKGROUND

Over time, global health systems have witnessed significant improvements in the delivery and coverage of healthcare services. Nevertheless, the increasing prominence of non-communicable diseases remains a persistent challenge. Diabetes is one such non-communicable chronic disease that poses a threat with respect to both mortality and morbidity. This study investigated the socio-economic determinants and inequalities in the prevalence of diabetes in the Kingdom of Saudi Arabia according to data collected from the 2018 Saudi Family Health Survey conducted by the General Authority for Statistics.

METHODS

The analysis was limited to a sample of 11,528 respondents aged ≥ 18 years, selected across all 13 regions of Saudi Arabia, with complete responses for all variables of interest. Socio-economic determinants in diabetes prevalence were explored with univariate, bivariate, and multivariate logistic regression analyses. Furthermore, inequalities were visualised and quantitatively estimated according to construction of a concentration curve and calculation of the concentration index.

RESULTS

The prevalence of diabetes among the 11,528 respondents was 11.20%. Age, education, income, and residence area were significant determinants of diabetes prevalence, with a greater risk of diabetes found in older participants (odds ratio [OR]: 12.262, 95% confidence interval [CI]: 9.820-15.313, p < 0.01) compared to younger participants. Inequality analysis showed a negative education-based concentration index (-0.235, p < 0.01), indicating that diabetes prevalence is concentrated among people with relatively less formal education. For males, the income-based concentration index was significantly positive, whereas the education-based concentration index was significantly negative, indicating a greater concentration of diabetes among Saudi men with higher incomes and less education.

CONCLUSION

These findings emphasize the need to prioritize policies and strategies for diabetes prevention and control with considerations of the socio-economic inequalities in prevalence. Key areas of focus should include improving education levels across all regions, raising awareness about diabetes and implementing nutritional interventions.

Unmasking the silent epidemic: a comprehensive systematic review and meta-analysis of undiagnosed diabetes in Ethiopian adults

Background

Undiagnosed diabetes mellitus poses a significant global public health concern, exerting a substantial impact on the well-being of individuals, their families, and societies at large. Those individuals with undiagnosed diabetes miss opportunities to maintain quality of life and prevent diabetes-related complications. Even if there are ample primary studies on undiagnosed diabetes in Ethiopia, the results reveal conflicting results. Therefore, a comprehensive national picture of undiagnosed diabetes is essential for designing effective strategies at the national level.

Methods

This study adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines for prevalence studies (PROSPERO ID: CRD42021266676). PubMed, Web of Science and the World Health Organization's Hinari portal were searched using a strategy developed in collaboration with Liberians. The inclusion criteria comprised studies reporting undiagnosed diabetes in Ethiopia. Two independent reviewers conducted a quality assessment using a 10-item appraisal tool. Meta-analysis and meta-regression were performed using a random-effects model.

Result

Twenty-five studies with 22,193 participants met the inclusion criteria. The pooled prevalence of undiagnosed diabetes among the Ethiopian adult population was 5.68% (95% CI: 4.53 - 6.83, I2 = 75.4). Factors significantly associated with undiagnosed diabetes include age, waist circumference, overweight, family history of diabetes, and a history of hypertension.

Conclusion

Our systematic review found a noteworthy prevalence of undiagnosed diabetes in Ethiopia. The majority of factors linked with undiagnosed diabetes in this review were modifiable. This underscores the importance of targeted factors and public health interventions to improve early detection and reduce the burden of undiagnosed diabetes and its complications in Ethiopia.

Systematic review registration

https://www.crd.york.ac.uk/prospero, identifier CRD42021266676.

Knowledge, attitude and practice toward diabetes among the public in the Kingdom of Saudi Arabia: a cross-sectional study

Background

The increasing adoption of sedentary lifestyles and cultural shifts has fostered unhealthy habits and decreased physical activity, consequently exacerbating the prevalence of diabetes. Diabetes is currently one of the top 10 diseases worldwide, contributing significantly to both mortality and morbidity. Since diabetes hinges on self-care, possessing the right knowledge, attitude, and habits related to the disease is paramount. This study, therefore, aims to examine the knowledge, attitude, and practice of diabetes among the population of Saudi Arabia.

Methods

The study utilized data from a cross-sectional study conducted via an online self-reported questionnaire among the general population of Saudi Arabia. The study primarily used univariate and multivariable regression data analyses. Univariate analysis was employed to compile social and demographic statistics frequencies, while One-way analysis of variance (ANOVA) was used to assess mean differences in knowledge, attitudes, and practices scores. Furthermore, a multivariable linear regression analysis was executed to identify factors associated with knowledge, attitudes, and practices.

Results

The mean score for diabetes knowledge was 17.79 (SD = 5.39, range: 0-29), with an overall accuracy rate of 61.34%. The mean attitude score for diabetes was 2.33 (SD = 1.91, range: 0-7), while the mean score for diabetes practices was 2.58 (SD = 1.28, range: 0-4). The multivariate analyses reveal distinct variations in knowledge, attitudes, and practices of diabetes among participants based on their gender, education, marital status, income, diabetes patient status, and having a medical field-related education.

Conclusion

High knowledge scores do not necessarily equate to positive attitudes and practices related to diabetes. There is need for intensified care and the implementation of specialized educational programs that emphasize the importance of having the right attitude and engaging in the good diabetes practices.

Socioeconomic inequality and urban-rural disparity of antenatal care visits in Bangladesh: A trend and decomposition analysis

BACKGROUND

Socioeconomic inequality in antenatal care visits is a great concern in developing countries including Bangladesh; however, there is a scarcity of investigation to assess the factors of inequality and these changes over time. In this study, we investigated the trend of socioeconomic inequalities (2004-2017) in 1+ANC and 4+ANC visits, and extracted determinants contributions to the observed inequalities and urban-rural disparities in Bangladesh over the period from 2011 to 2017.

METHODS

The data from the Bangladesh Demographic and Health Surveys (BDHS) conducted in 2004, 2007, 2011 and 2017 were analyzed in this study. The analysis began with exploratory and bivariate analysis, followed by the application of logistic regression models. To measure the inequalities, the Erreygers concentration index was used, and regression-based decomposition analyses were utilized to unravel the determinant's contribution to the observed inequalities. The Blinder-Oaxaca type decomposition is also used to decompose the urban-rural disparity into the factors.

RESULTS

Our analysis results showed that the prevalence of 1+ANC and 4+ANC visits has increased across all the determinants, although the rate of 4+ANC visits remains notably low. The magnitudes of socioeconomic inequality in 4+ANC visits represented an irregular pattern at both the national and urban levels, whereas it increased gradually in rural Bangladesh. However, inequalities in 1+ANC visits declined substantially after 2011 across the national, rural and urban areas of Bangladesh. Decomposition analyses have suggested that wealth status, women's education, place of residence (only for 4+ANC visits), caesarean delivery, husband education, and watching television (TV) are the main determinants to attribute and changes in the level of inequality and urban-rural disparity between the years 2011 and 2017.

CONCLUSIONS

According to the findings of our study, it is imperative for authorities to ensure antenatal care visits are more accessible for rural and underprivileged women. Additionally, should focus on delivering high-quality education, ensuring the completion of education, reducing income disparity as well as launching a program to enhance awareness about health facilities, and the impact of caesarean delivery.

Prevalence of Diabetes and the Relationship Between Wealth and Social Demographic Characteristics Across 6 Low-and-Middle Income Countries

Background

As the global burden of diabetes persists, research is needed to understand the role of wealth and correlates of diabetes across regions of the world. The purpose of this study is to examine the prevalence and role of wealth and diabetes across 6 low- and middle- income countries while also accounting for independent correlates of diabetes by country.

Methods

Data from the Study on Global Ageing and Adult Health (SAGE), SAGE Wave 1 was used. Self-reported diabetes status was the primary dependent variable and wealth quintile, number of dwelling characteristics and possession of a set of assets, was the independent variable. Logistic regression models examined the relationship between wealth and presence of diabetes across 6 countries with the highest wealth quintile, quintile 1, serving as the reference group.

Results

Sample size by country included Ghana N = 5573, South Africa N = 4227, Russia N = 4947, Mexico N = 5448, India N = 12198, and China N = 15050. Average age across country ranged from 49 to 63 years of age. Prevalence of diabetes across country included 3.4% and 9.2% for Ghana and South Africa, respectively. In Russia, 8.3%; Mexico, 18.1%; India, 4.9%; and China, 5.9% of the sample reported having diabetes. In the adjusted logistic model, wealth was associated with higher odds of diabetes in Ghana (OR 2.26; CI 1.28; 4.13), South Africa (OR 4.57; CI 2.25; 10.32), Mexico (OR 2.00; CI 1.14; 3.60), India (OR 2.45; CI 1.60; 3.86), and China (OR 2.16; CI 1.62, 2.93).

Conclusions

These findings add to the growing body of evidence in our understanding between wealth and diabetes. As diabetes persists as a leading cause of death globally, future work should focus on mechanisms underlying the relationship between wealth and diabetes while also developing interventions to mitigate his burgeoning disease affecting communities across low- and middle-income countries.

Extended cost-effectiveness analysis of interventions to improve uptake of diabetes services in South Africa

The rising prevalence of diabetes in South Africa (SA), coupled with significant levels of unmet need for diagnosis and treatment, results in high rates of diabetes-associated complications. Income status is a determinant of utilization of diagnosis and treatment services, with transport costs and loss of wages being key barriers to care. A conditional cash transfer (CCT) programme, targeted to compensate for such costs, may improve service utilization. We applied extended cost-effectiveness analysis (ECEA) methods and used a Markov model to compare the costs, health benefits and financial risk protection (FRP) attributes of a CCT programme. A population was simulated, drawing from SA-specific data, which transitioned yearly through various health states, based on specific probabilities obtained from local data, over a 45-year time horizon. Costs and disability-adjusted life years (DALYs) were applied to each health state. Three CCT programme strategies were simulated and compared to a 'no programme' scenario: (1) covering diagnosis services only; (2) covering treatment services only; (3) covering both diagnosis and treatment services. Cost-effectiveness was reported as incremental net monetary benefit (INMB) using a cost-effectiveness threshold of USD3015 per DALY for SA, while FRP outcomes were reported as catastrophic health expenditure (CHE) cases averted. Distributions of the outcomes were reported by income quintile and sex. Covering both diagnosis and treatment services for the bottom two quintiles resulted in the greatest INMB (USD22 per person) and the greatest CHE cases averted. There were greater FRP benefits for women compared to men. A CCT programme covering diabetes diagnosis and treatment services was found to be cost-effective, when provided to the poorest 40% of the SA population. ECEA provides a useful platform for including equity considerations to inform priority setting and implementation policies in SA.

Diabetes is affecting everyone everywhere

The article titled "Accessibility and Utilization of Healthcare Services Among Diabetic Patients: Is Diabetes a Poor Man's Ailment?" gave insights into a pandemic systemic disease known as diabetes mellitus. This modern-era pandemic affects everyone, regardless of their financial background. As a result, diabetes is not a systemic disease which just involves people of low socioeconomic status.

Area-level deprivation and individual-level socioeconomic correlates of the diabetes care cascade among black south africans in uMgungundlovu, KwaZulu-Natal, South Africa

South Africa is experiencing a rapidly growing diabetes epidemic that threatens its healthcare system. Research on the determinants of diabetes in South Africa receives considerable attention due to the lifestyle changes accompanying South Africa's rapid urbanization since the fall of Apartheid. However, few studies have investigated how segments of the Black South African population, who continue to endure Apartheid's institutional discriminatory legacy, experience this transition. This paper explores the association between individual and area-level socioeconomic status and diabetes prevalence, awareness, treatment, and control within a sample of Black South Africans aged 45 years or older in three municipalities in KwaZulu-Natal. Cross-sectional data were collected on 3,685 participants from February 2017 to February 2018. Individual-level socioeconomic status was assessed with employment status and educational attainment. Area-level deprivation was measured using the most recent South African Multidimensional Poverty Index scores. Covariates included age, sex, BMI, and hypertension diagnosis. The prevalence of diabetes was 23% (n = 830). Of those, 769 were aware of their diagnosis, 629 were receiving treatment, and 404 had their diabetes controlled. Compared to those with no formal education, Black South Africans with some high school education had increased diabetes prevalence, and those who had completed high school had lower prevalence of treatment receipt. Employment status was negatively associated with diabetes prevalence. Black South Africans living in more deprived wards had lower diabetes prevalence, and those residing in wards that became more deprived from 2001 to 2011 had a higher prevalence diabetes, as well as diabetic control. Results from this study can assist policymakers and practitioners in identifying modifiable risk factors for diabetes among Black South Africans to intervene on. Potential community-based interventions include those focused on patient empowerment and linkages to care. Such interventions should act in concert with policy changes, such as expanding the existing sugar-sweetened beverage tax.

Examining the potential impacts of intensive blood pressure treatment on the socioeconomic inequity in hypertension prevalence in China: a nationally representative cross-sectional study

Few studies focused on the equity of hypertension prevalence before and after the diagnostic threshold change. The study aimed to analyze the 130/80 mmHg hypertension diagnostic threshold on the equity of hypertension prevalence in China. The baseline survey data from the China Health and Retirement Longitudinal Study (CHARLS) conducted from 2011 to 2012 were utilized to evaluate the impact of the 130/80 mmHg diagnostic threshold on the equity of hypertension prevalence in China using the concentration index and its decomposition which was an index reflecting the health inequality caused by social and economic factors. The prevalence of hypertension was 41.56% and 57.33% under the diagnostic thresholds of 140/90 mmHg and 130/80 mmHg, respectively. The concentration index for hypertension prevalence in China was -0.017 (95%CI: -0.028, -0.006) under the 140/90 mmHg threshold and -0.010 (95%CI: -0.018, -0.002) under the 130/80 mmHg threshold. Concentration index decomposition analysis of hypertension prevalence diagnosed at both diagnostic thresholds showed that age, BMI, and economic status contributed more to the inequitable situation of hypertension prevalence. Higher age, higher BMI, and poorer economic status increased the inequity of hypertension prevalence. No significant difference in the increase in hypertension among individuals of different economic status after implementing the blood pressure control standard (130/80 mmHg), and the prevalence of hypertension in the region did not show a significant bias towards the low economic status population. Therefore, implementing this standard will not increase the risk of hypertension prevalence biased toward people of low economic status. Implementing the 130/80 mmHg diagnostic threshold will not increase the risk of hypertension prevalence biased towards people of low economic status.

Antidiabetic Activity, Molecular Docking, and ADMET Properties of Compounds Isolated from Bioactive Ethyl Acetate Fraction of Ficus lutea Leaf Extract

Diabetes contributes to the rising global death rate. Despite scientific advancements in understanding and managing diabetes, no single therapeutic agent has been identified to effectively treat and prevent its progression. Consequently, the exploration for new antidiabetic therapeutics continues. This study aimed to investigate the antidiabetic bioactive ethyl acetate fraction of F. lutea at the molecular level to understand the molecular interactions and ligand-protein binding. To do this, the fraction underwent column chromatography fractionation to yield five compounds: lupeol, stigmasterol, α-amyrin acetate, epicatechin, and epiafzelechin. These compounds were evaluated in vitro through α-glucosidase inhibition and glucose utilization assays in C2C12 muscle and H-4-11-E liver cells using standard methods. In silico analysis was conducted using molecular docking and ADMET studies. Epicatechin exhibited the most potent α-glucosidase inhibition (IC50 = 5.72 ± 2.7 µg/mL), while epiafzelechin stimulated superior glucose utilization in C2C12 muscle cells (33.35 ± 1.8%) and H-4-11-E liver cells (46.7 ± 1.2%) at a concentration of 250 µg/mL. The binding energies of the isolated compounds for glycogen phosphorylase (1NOI) and α-amylase (1OSE) were stronger (<-8.1) than those of the positive controls. Overall, all tested compounds exhibited characteristics indicative of their potential as antidiabetic agents; however, toxicity profiling predicted epiafzelechin and epicatechin as better alternatives. The ethyl acetate fraction and its compounds, particularly epiafzelechin, showed promise as antidiabetic agents. However, further comprehensive studies are necessary to validate these findings.

Accessibility and utilization of healthcare services among diabetic patients: Is diabetes a poor man's ailment?

Diabetes is a non-communicable ailment that has adverse effects on the individual's overall well-being and productivity in society. The main objective of this study was to examine the empirical literature concerning the association between diabetes and poverty and the accessibility and utilization of medical care services among diabetic patients. The diabetes literature was explored using a literature review approach. This review revealed that diabetes is an ailment that affects all individuals irrespective of socioeconomic status; however, its pre-valence is high in low-income countries. Hence, despite the higher prevalence of diabetes in developing countries compared with developed countries, diabetes is not a poor man's ailment because it affects individuals of all incomes. While the number of diabetic patients that access and utilize diabetes medical care services has increased over the years, some personal and institutional factors still limit patients' access to the use of diabetes care. Also, there is a lacuna in the diabetes literature concerning the extent of utilization of available healthcare services by diabetic patients.

Prevalence and risk factors of diabetes mellitus and hypertension in North East Tunisia calling for efficient and effective actions

Diabetes and hypertension are a serious public health problem worldwide. In the last decades, prevalence of these two metabolic diseases has dramatically increased in the Middle East and North Africa region, especially in Tunisia. This study aimed to determine the prevalence of type 2 diabetes (T2D) and High Blood Pressure (HBP) in Zaghouan, a North-East region of Tunisia. To this end, an exploratory study with stratified random sampling of 420 participants has been carried out. Various data were collected. Blood samples and urine were drawn for biochemical assay. Then, all data were analyzed using the statistical R software. Results showed an alarming situation with an inter-regional difference in prevalence of obesity (50.0%, CI 95.0%), HBP (39.0%, CI 95.0%) and T2D (32.0%, CI 95.0%). This study allowed the discovery of 24, 17 and 2 new cases of T2D, HBP and T2D&HBP respectively. The association of some socio-economic factors and biochemical parameters with these chronic diseases has been highlighted. To conclude, the health situation in the governorate of Zaghouan requires urgent interventions to better manage the growing epidemic of non-communicable diseases (NCD) in the region. This study demonstrated the importance of engaging health policy makers in road mapping and implementing national NCD prevention programs.

Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND

Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), we produced location-specific, age-specific, and sex-specific estimates of diabetes prevalence and burden from 1990 to 2021, the proportion of type 1 and type 2 diabetes in 2021, the proportion of the type 2 diabetes burden attributable to selected risk factors, and projections of diabetes prevalence through 2050.

METHODS

Estimates of diabetes prevalence and burden were computed in 204 countries and territories, across 25 age groups, for males and females separately and combined; these estimates comprised lost years of healthy life, measured in disability-adjusted life-years (DALYs; defined as the sum of years of life lost [YLLs] and years lived with disability [YLDs]). We used the Cause of Death Ensemble model (CODEm) approach to estimate deaths due to diabetes, incorporating 25 666 location-years of data from vital registration and verbal autopsy reports in separate total (including both type 1 and type 2 diabetes) and type-specific models. Other forms of diabetes, including gestational and monogenic diabetes, were not explicitly modelled. Total and type 1 diabetes prevalence was estimated by use of a Bayesian meta-regression modelling tool, DisMod-MR 2.1, to analyse 1527 location-years of data from the scientific literature, survey microdata, and insurance claims; type 2 diabetes estimates were computed by subtracting type 1 diabetes from total estimates. Mortality and prevalence estimates, along with standard life expectancy and disability weights, were used to calculate YLLs, YLDs, and DALYs. When appropriate, we extrapolated estimates to a hypothetical population with a standardised age structure to allow comparison in populations with different age structures. We used the comparative risk assessment framework to estimate the risk-attributable type 2 diabetes burden for 16 risk factors falling under risk categories including environmental and occupational factors, tobacco use, high alcohol use, high body-mass index (BMI), dietary factors, and low physical activity. Using a regression framework, we forecast type 1 and type 2 diabetes prevalence through 2050 with Socio-demographic Index (SDI) and high BMI as predictors, respectively.

FINDINGS

In 2021, there were 529 million (95% uncertainty interval [UI] 500-564) people living with diabetes worldwide, and the global age-standardised total diabetes prevalence was 6·1% (5·8-6·5). At the super-region level, the highest age-standardised rates were observed in north Africa and the Middle East (9·3% [8·7-9·9]) and, at the regional level, in Oceania (12·3% [11·5-13·0]). Nationally, Qatar had the world's highest age-specific prevalence of diabetes, at 76·1% (73·1-79·5) in individuals aged 75-79 years. Total diabetes prevalence-especially among older adults-primarily reflects type 2 diabetes, which in 2021 accounted for 96·0% (95·1-96·8) of diabetes cases and 95·4% (94·9-95·9) of diabetes DALYs worldwide. In 2021, 52·2% (25·5-71·8) of global type 2 diabetes DALYs were attributable to high BMI. The contribution of high BMI to type 2 diabetes DALYs rose by 24·3% (18·5-30·4) worldwide between 1990 and 2021. By 2050, more than 1·31 billion (1·22-1·39) people are projected to have diabetes, with expected age-standardised total diabetes prevalence rates greater than 10% in two super-regions: 16·8% (16·1-17·6) in north Africa and the Middle East and 11·3% (10·8-11·9) in Latin America and Caribbean. By 2050, 89 (43·6%) of 204 countries and territories will have an age-standardised rate greater than 10%.

INTERPRETATION

Diabetes remains a substantial public health issue. Type 2 diabetes, which makes up the bulk of diabetes cases, is largely preventable and, in some cases, potentially reversible if identified and managed early in the disease course. However, all evidence indicates that diabetes prevalence is increasing worldwide, primarily due to a rise in obesity caused by multiple factors. Preventing and controlling type 2 diabetes remains an ongoing challenge. It is essential to better understand disparities in risk factor profiles and diabetes burden across populations, to inform strategies to successfully control diabetes risk factors within the context of multiple and complex drivers.

FUNDING

Bill & Melinda Gates Foundation.

Self-Management of Diabetes and Associated Factors among Patients Seeking Chronic Care in Tshwane, South Africa: A Facility-Based Study

The burden of diabetes continues to increase in South Africa and a significant number of diabetes patients present at public primary healthcare facilities with uncontrolled glucose. We conducted a facility-based cross-sectional study to determine the diabetes self-management practices and associated factors among out-patients in Tshwane, South Africa. An adapted validated questionnaire was used to collect data on sociodemography, diabetes knowledge, and summaries of diabetes self-management activities measured in the previous seven days, and over the last eight weeks. Data were analysed using STATA 17. A final sample of 402 diabetes out-patients was obtained (mean age: 43 ± 12 years) and over half of them were living in poor households. The mean total diabetes self-management of score was 41.5 ± 8.2, with a range of 21 to 71. Almost two thirds of patients had average self-management of diabetes, and 55% had average diabetes knowledge. Twenty-two percent of patients had uncontrolled glucose, hypertension (24%) was the common comorbidity, and diabetic neuropathy (22%) was the most common complication. Sex [male: AOR = 0.55, 95% CI: 0.34-0.90], race [Coloured: AOR = 2.84, 95% CI: 1.69-4.77 and White: AOR = 3.84, 95% CI: 1.46-10.1], marital status [divorced: AOR = 3.41, 95% CI: 1.13-10.29], social support [average: AOR = 2.51, 95% CI: 1.05-6.00 and good: AOR = 4.49, 95% CI: 1.61-7.57], body mass index [obesity: AOR = 0.31, 95% CI: 0.10-0.95], diabetes knowledge [average: AOR = 0.58, 95% CI: 0.33-0.10 and good: AOR = 1.86, 95% CI: 0.71-4.91], and uncontrolled glucose [AOR = 2.97, 95% CI: 1.47-5.98] were factors independently predictive of diabetes self-management. This study emphasizes that the self-management of diabetes was mostly on average among patients and was associated with the aforementioned factors. Innovative approaches are perhaps needed to make diabetes education more effective. Face-to-face sessions delivered generally during clinic visits should be better tailored to the individual circumstances of diabetes patients. Considerations should be given to the options of leveraging information technology to ensure the continuity of diabetes education beyond clinic visits. Additional effort is also needed to meet the self-care needs of all patients.

Prevalence and Psychosocial Correlates of Diabetes Mellitus in South Africa: Results from the South African National Health and Nutrition Examination Survey (SANHANES-1)

In South Africa, there are a limited number of population estimates of the prevalence of diabetes and its association with psychosocial factors. This study investigates the prevalence of diabetes and its psychosocial correlates in both the general South African population and the Black South African subpopulation using data from the SANHANES-1. Diabetes was defined as a hemoglobin A1c (HbA1c) ≥6.5% or currently on diabetes treatment. Multivariate ordinary least squares and logistic regression models were used to determine factors associated with HbA1c and diabetes, respectively. The prevalence of diabetes was significantly higher among participants who identified as Indian, followed by White and Coloured people, and lowest among Black South Africans. General population models indicated that being Indian, older aged, having a family history of diabetes, and being overweight and obese were associated with HbA1c and diabetes, and crowding was inversely associated with HbA1c and diabetes. HbA1c was inversely associated with being White, having higher education, and residing in areas with higher levels of neighborhood crime and alcohol use. Diabetes was positively associated with psychological distress. The study highlights the importance of addressing the risk factors of psychological distress, as well as traditional risk factors and social determinants of diabetes, in the prevention and control of diabetes at individual and population levels.

Socioeconomic inequalities in diabetes prevalence: the case of South Africa between 2003 and 2016

BACKGROUND

Diabetes is a growing epidemic worldwide and the effect of socioeconomic status (SES) is frequently acknowledged in the literature. This study aims to compare the effect of SES on diabetes prevalence in South Africa between 2003 and 2016. In addition, vulnerable groups regarding diabetes development in 2016 will be identified.

METHODS

Using DHS data there were 8,006 participants (59.19% women) in 2003 and 10,292 participants (59.42% women) in 2016. Logistic regression and odds ratios (ORs) with 95% confidence intervals (CIs) were calculated for diabetes by age, gender, educational level and place of residence. To identify vulnerable groups with high risk of developing diabetes in 2016, the method of p-value based regression tree analysis was applied using "wealth index" and "weight perception" as additional variables.

RESULTS

There was an increase in diabetes prevalence from 3.86% in 2003 to 4.46% in 2016. Women had more risk of developing diabetes at both time points (27% in 2003 and 24% in 2016 more risk). Increase in age and living in urban areas were associated with more risk of developing diabetes at both time points. There was no specific pattern regarding risk of developing diabetes and educational level in case of women. However, men who completed secondary school or had a higher diploma or above had more risk of developing diabetes in 2016 (OR = 2.24 and 4.67 respectively). Vulnerable groups who have higher risk of developing diabetes in 2016 were participants aged "60 years or older" with a wealth index of "rich" or "richer", followed by participants from the same age group who were "poor" or "poorer" and participants aged "40-59 years" with a wealth index of "rich" or "richer". Subsequently were participants from the age group "15-39 years" with a weight perception of "overweight" or "obese".

CONCLUSION

Diabetes prevalence increased in South Africa between 2003 and 2016. Main risk factors were age, gender and living in urban areas. Men with high educational level were more at risk of developing diabetes in 2016. Vulnerable groups in 2016 were participants 40 years and older, particularly with high SES. This was followed by younger participants who were obese or overweight.

Diabetes, Hypertension, and Comorbidity among Bangladeshi Adults: Associated Factors and Socio-Economic Inequalities

Diabetes, hypertension, and comorbidity are still crucial public health challenges that Bangladeshis face. Nonetheless, very few studies have been conducted to examine the associated factors, especially the socioeconomic inequalities in diabetes, hypertension, and comorbidity in Bangladesh. This study explored the prevalence of, factors connected with, and socioeconomic inequalities in diabetes, hypertension, and comorbidity among Bangladeshi adults. We used the Bangladesh Demographic and Health Survey (BDHS) data set of 2017−2018. A total of 12,136 (weighted) Bangladeshi adults with a mean age of 39.5 years (±16.2) participated in this study. Multilevel (mixed-effect) logistic regression analysis was employed to ascertain the determinants of diabetes, hypertension, and comorbidity, where clusters were considered as a level-2 factor. The concentration curve (CC) and concentration index (CIX) were utilized to investigate the inequalities in diabetes, hypertension, and comorbidity. The weighted prevalence of diabetes, hypertension, and comorbidity was 10.04%, 25.70%, and 4.47%, respectively. Age, body mass index, physical activity, household wealth status, and diverse administrative divisions were significantly associated with diabetes, hypertension, and comorbidity among the participants. Moreover, participants’ smoking statuses were associated with hypertension. Women were more prone to hypertension and comorbidity than men. Diabetes (CIX: 0.251, p < 0.001), hypertension (CIX: 0.071, p < 0.001), and comorbidity (CIX: 0.340, p < 0.001) were higher among high household wealth groups. A pro-wealth disparity in diabetes, hypertension, and comorbidity was found. These inequalities in diabetes, hypertension, and comorbidity emphasize the necessity of designing intervention schemes geared towards addressing the rising burden of these diseases.

Inequalities in successful tobacco cessation and tobacco cessation attempts: Evidence from eight Sub-Saharan African countries

BACKGROUND

Tobacco consumption is a contributing and modifiable risk factor for non-communicable diseases. In high-income countries, tobacco cessation attempts, and their success, are concentrated among the socio-economically advantaged, resulting in a skewed burden of disease. However, there is a paucity of evidence on the distribution of tobacco cessation in low- and middle-income countries.

OBJECTIVE

The objective of this study is to measure and decompose wealth- and education-related inequalities in tobacco cessation in eight Sub-Saharan African countries.

METHODOLOGY

The study applies Erreygers' corrected concentration indices and decomposition methods to the most recent Global Adult Tobacco Surveys in Botswana, Cameroon, Ethiopia, Kenya, Nigeria, Senegal, Tanzania, and Uganda.

FINDINGS

We find that across countries, successful tobacco cessation, as well as tobacco cessation attempts, are concentrated among wealthier and better-educated individuals. Differences in socio-economic status, urban or rural residence, and not knowing or believing that tobacco consumption leads to serious illness contributes to these inequalities.

CONCLUSION

Governments in our sample of countries can do more to support socio-economically disadvantaged smokers in their efforts to quit smoking, including by making an effort to align each country's smoking cessation strategy with the guidelines outlined in the World Health Organization's Framework Convention on Tobacco Control.

Socioeconomic inequalities in the risk factors of noncommunicable diseases (hypertension and diabetes) among Bangladeshi population: Evidence based on population level data analysis

BACKGROUND

Noncommunicable diseases (NCDs) such as hypertension and diabetes are among the most fatal disease and prevalent among the adult population worldwide, including Bangladesh, and pose a public health threat. Understanding the socioeconomic inequalities linked to NCD risk factors can aid in the development of effective strategies to reduce the disease's recurrence. However, the literature on socioeconomic inequalities in hypertension and diabetes prevalence in Bangladesh is scant. Therefore, this study seeks to assess the inequality in hypertension and diabetes prevalence and to identify factors that may contribute to socioeconomic inequalities in Bangladesh.

METHODS

The current study incorporated data from a recent round of Bangladesh Demographic and Health Survey (BDHS 2017-18). The age-standardized prevalence rates of hypertension and diabetes were reported, and the log-binomial regression technique was used to identify the relevant confounders. Additionally, socioeconomic inequalities were quantified using a regression-based decomposition technique in which the concentration index (CIX) and Concentration curve were produced to determine the socioeconomic factors contributing to inequality.

RESULTS

Hypertension and diabetes were shown to have an age-standardized prevalence of (11.29% 95% CI: 11.13-11.69) and (36.98% 95% CI: 36.79-37.16), respectively. Both hypertension and diabetes were shown to be pointedly linked to the respondents' age, wealth status, being overweight or obese, and a variety of respondents' administrative divisions (p <0.001). In Bangladesh, household wealth status accounted for approximately 25.71% and 43.41% of total inequality in hypertension and diabetes, respectively. While BMI played a significant role in the emergence of inequality, the corresponding percentages for diabetes and hypertension are 4.95 and 83.38, respectively. In addition, urban areas contributed 4.56% inequality to increase diabetes among Bangladeshi inhabitants while administrative region contributed 4.76% of the inequality of hypertension.

CONCLUSION

A large proportion of Bangladesh's adult population suffers from hypertension and diabetes. It is critical to recognize the value of equity-based initiatives in order to optimize the benefit-risk ratio and cost effectiveness of preventive health programmes. Integrating equity considerations into interventions is critical for policies and programmes to achieve their objectives. As a result, these findings can be taken into account when making existing and prospective policy decisions, as well as following its progression with economic development of Bangladesh.

Decomposing socioeconomic inequality in blood pressure and blood glucose testing: evidence from four districts in Kerala, India

BACKGROUND

Non-Communicable Diseases (NCDs) constitute a significant danger to the nation's public health system, both in terms of morbidity and mortality, as well as the financial burden they inflict. Kerala is undergoing an epidemiologic transition, which has significantly impacted the state's morbidity and mortality figures. For decades, the state has been putting in place myriad programs to reduce the burden of NCDs across population groups. Socioeconomic inequalities in NCD testing have been documented in India, although they are understudied in Kerala. The study aimed to estimate and characterize districtwise socioeconomic inequality in Blood Pressure (BP) and Blood Glucose (BG) testing.

METHODS

A cross-sectional household survey was conducted between July-October 2019 in Kasaragod, Alappuzha, Kollam and Thiruvananthapuram districts of Kerala, India. A total of 6383 participants aged 30 years and above were interviewed using multistage random sampling. Descriptive statistics were derived district-wise. We computed ratios, differences, equiplots, and Erreygers concentration indices for each district to measure socioeconomic inequality in BP and BG testing. Erreygers decomposition techniques were used to estimate the relative contribution of covariates to socioeconomic inequality.

RESULTS

There was a significant concentration of BP and BG testing favouring wealthier quintiles in Alappuzha, Kollam, and Thiruvananthapuram districts. The inequality in BP and BG testing was highest in Thiruvananthapuram (0.087 and 0.110), followed by Kollam (0.077 and 0.090), Alappuzha (0.083 and 0.073) and Kasaragod (0.026 and 0.056). Decomposition analysis revealed that wealth quintile and education contributed substantially to socioeconomic inequality in BP and BG testing in all four districts. It was also found that family history of NCDs significantly contributed to observed socioeconomic inequality in BP testing (29, 11, 16, and 27% in Kasaragod, Alappuzha, Kollam, and Thiruvananthapuram, respectively). Similarly, in BG testing, family history of NCDs substantially contributed to observed socioeconomic inequality, explaining 16-17% in Kasaragod, Alappuzha, Kollam, and Thiruvananthapuram respectively of the total inequality.

CONCLUSION

While the magnitude of socioeconomic inequality in NCD risk factor testing did not appear to be very high in four Kerala districts, although levels were statistically significant in three of them. Greater exploration is needed on how education and caste contribute to these inequalities and their relationship to NCD risk factors such as family history. From such analyses, we may be able to identify entry points to mitigate inequalities in testing access, as well as burden.

Socio-economic inequality in prevalence of type 2 diabetes among adults in north-west of Iran: a Blinder-Oaxaca decomposition

Background

The aim of this study was to estimate the socio-economic inequality in prevalence of type 2 diabetes among adults in north-west of Iran.

Methods

A cross-sectional study was conducted in Ardabil with data from the PERSIAN Cohort Study. Diabetes has been measured by combining self-reported and clinical records. Based on the socio-economic status score, households divided into five quintiles. A multiple logistic regression model was used to examine the association between having diabetes and independent variables and the Blinder-Oaxaca (BO) method was used to decompose the socioeconomic inequality, respectively.

Results

The Overall age-adjusted prevalence of diabetes among 20,419 Ardabil's adults was 14.3% (95% CI: 13.6 to 14.9). The prevalence of type 2 diabetes for the poorest and richest groups was 16.07% and 7.60%, the gap between the poorest and richest groups was 8.47%. The prevalence type 2 diabetes was significantly increasing with increasing in age (OR = 4.05, 95% CI = 3.27-5.02), BMI (OR: 3.10, 95%CI = 1.25-7.68), blood pressure (OR: 2.61, 95% CI = 2.37-2.88), and decreases with higher education level (OR = 0.78, 95% CI = 0.63-0.97). The richest-economic group has lower prevalence of diabetes (OR = 0.73, 95% CI = 0.60-0.88). The decomposition showed that most important factors affecting the difference between poorest and richest group in the prevalence of type 2 diabetes were age (86.1%), years of schooling (46.9%) and having chronic diseases such as hypertension (26.9%).

Conclusions

The present study showed that the prevalence of type 2 diabetes was significantly higher among the elderly, women, uneducated, obese, and poor populations. Policies that address people poverty such as increasing job opportunities, increasing the minimum income etc. could reduce diabetes risk for poor people.

Socioeconomic Inequalities in the Prevalence of Diabetes in Argentina: A Repeated Cross-Sectional Study in Urban Women and Men

This study measured the socioeconomic inequalities in the prevalence of diabetes between 2005 and 2018 in an urban Argentinian population. Data were obtained from the repeated cross-sectional surveys “National Survey of Risk Factors” (ENFR is its acronym in Spanish). From 2005 to 2018, four rounds of ENFR were administered to men and women over 18 years of age. Concentration curves (CC) and the Erreygers concentration index (ECI) were used to describe the socioeconomic inequalities in diabetes’ prevalence. A decomposition analysis was performed to determine the contribution of each variable to inequality in diabetes’ prevalence. Data from 41,219 (2005), 34,583 (2009), 32,232 (2013), and 29,094 (2018) individuals were analyzed. Women reported a greater prevalence of diabetes compared with men for all the years included. According to the CC and ECI, we found no evidence of inequality in men throughout all study years. For women, throughout all years, the CCs were above the line of equity, and the ECIs during all the years were negative and different from zero (p < 0.01). For women, we found no evidence of a reduction in inequalities between 2005 and 2018 (p = 0.475). The socioeconomic inequality for women was largely driven by public insurance, primary and secondary education, and employment. Diabetes’ prevalence was not associated with socioeconomic status in men, while the prevalence of diabetes in women was more concentrated among poorer women. During the 13 years, there was no evidence of a reduction of inequality in women, noting that interventions must prioritize and should focus on the main contribution of inequalities, such as education and employment.

Inequalities in short-acting reversible, long-acting reversible and permanent contraception use among currently married women in India

BACKGROUND

In India, the usage of modern contraception methods among women is relatively lower in comparison to other developed economies. Even within India, there is a state-wise variation in family planning use that leads to unintended pregnancies. Significantly less evidence is available regarding the determinants of modern contraception use and the level of inequalities associated with this. Therefore, the present study has examined the level of inequalities in modern contraception use among currently married women in India.

METHODS

This study used the fourth round of National Family Health Survey (NFHS-4) conducted in 2015-16. Our analysis has divided the uses of contraception into three modern methods of family planning such as Short-Acting Reversible Contraception (SARC), Long-Acting Reversible Contraception (LARC) and permanent contraception methods. SARC includes pills, injectable, and condoms, while LARC includes intrauterine devices, implants, and permanent contraception methods (i.e., male and female sterilization). We have employed a concentration index to examine the level of socioeconomic inequalities in utilizing modern contraception methods.

RESULTS

Our results show that utilization of permanent methods of contraception is more among the currently married women in the higher age group (40-49) as compared to the lower age group (25-29). Women aged 25-29 years are 3.41 times (OR: 3.41; 95% CI: 3.30-3.54) more likely to use SARC methods in India. Similarly, women with 15 + years of education and rich are more likely to use the LARC methods. At the regional level, we have found that southern region states are three times more likely to use permanent methods of contraception. Our decomposition results show that women age group (40-49), women having 2-3 children and richer wealth quintiles are more contributed for the inequality in modern contraceptive use among women.

CONCLUSIONS

The use of SARC and LARC methods by women who are marginalized and of lower socioeconomic status is remarkably low. Universal free access to family planning methods among marginalized women and awareness campaigns in the rural areas could be a potential policy prescription to reduce the inequalities of contraceptive use among currently married women in India.

Ethical principles of renal therapy rationing in Senegal

Background

Since 2012, Senegal has conducted a national program to cover renal therapy (dialysis) expenses in public hospitals and social security-approved centers. Given the increasing demand for dialysis, national guidelines recommend explicit rationing through waiting lists, and hospitals have committees to determine whom to enroll. While national recommendations are known, criteria applied in hospitals to register patients remain unclear. Our study analyzes social justice principles used to ration renal therapy in government-owned centers and highlights inequalities caused by low access to treatment.

Methods

We conduct a multivariate logit regression analysis using data collected from patients in public and private centers to identify which socioeconomic or sociodemographic factors determine enrollment. Based on the average marginal effects of these factors on program enrollment, we hypothesize the justice principles applied (or not) in hospitals.

Results

We find that the duration of illness, insurance distribution, age, education, and involvement in patient associations influence program access. The duration of illness is the most robust predictor regardless of socioeconomic factors, which suggests the predominant application of egalitarian principles, notably the first-come-first-served rule. However, our findings indicate that the most impoverished patients do not have access to free dialysis.

Conclusions

Although the national dialysis program aims to improve access to costly life-sustaining treatment, the first-come-first-served strategy is designed to suit patients who live longer, that is, those who can seek dialysis care in a private center. The program does not address inequalities in access, especially for the most impoverished patients recently diagnosed with end-stage kidney disease.

Socio-economic inequalities in diabetes and prediabetes among Bangladeshi adults

Diabetes and prediabetes are overwhelming public health concerns in Bangladesh. However, there is a paucity of the literature examining and measuring socioeconomic inequalities in the prevalence of diabetes in Bangladesh. To provide reliable data and contribute to a nationwide scenario analysis, this study aims to estimate the inequality in prevalence of diabetes and prediabetes and to identify factors potentially contributing to socioeconomic inequalities in Bangladesh. This study used data from the latest Bangladesh Demographic and Health Survey (BDHS) 2017-18, a nationally representative survey. A regression-based decomposition method was applied to assess the socioeconomic contributors to inequality. The prevalence of diabetes and prediabetes were about 10 and 15% among Bangladeshi adults, respectively. Both diabetes and prediabetes were significantly associated with age, wealth status, suffering from overweight or obesity and administrative divisions of the respondents (p < 0.001). Respondents' household wealth status accounted for about 74 and 81% of the total inequality in diabetes and prediabetes in Bangladesh, respectively. Administrative region contributed 24.85% of the inequality in prediabetes and 12.26% of the inequality in diabetes. In addition, overweight or obesity status contributed 11.37% and exposure to television contributed 5.17% of the inequality in diabetes. Diabetes and prediabetes affect a substantial proportion of the Bangladeshi adult population. Therefore, these findings should be considered in the context of current and proposed policy decision making and for tracking its progression with economic development in Bangladesh.

Comparison of the Ability of Anthropometric Indices to Predict the Risk of Diabetes Mellitus in South African Males: SANHANES-1

This study aimed to assess the sensitivity of body mass index (BMI) to predict the risk of diabetes mellitus (DM) and whether waist circumference (WC), waist-to-hip (WHR) and waist-to-height (WHtR) ratios are better predictors of the risk of DM than BMI in South African men aged 20 years and older. Data from the first South African National Health and Nutrition Examination Survey (SANHANES-1) were used. Overall, 1405 men who had valid HbA1c outcomes were included. The sensitivity, specificity, and optimal cut-off points for predicting DM were determined using the receiver operating characteristic (ROC) curve analysis. A total of 34.6% percent of the study participants were overweight/obese, while 10.5%, 10.4%, 36.6% and 61.0% had HbA1c, WC, WHR and WHtR above the normal reference ranges, respectively. Based on age-adjusted logistic regression analysis, the highest likelihood of DM was observed for those participants who had increased WC and WHtR (odds ratios [OR] were 6.285 (95% CI: 4.136−9.550; p < 0.001) and 8.108 (95% CI: 3.721−17.667; p < 0.001)). The ROC curve analyses for WC, WHR, and WHtR displayed excellent ability to predict the risk of DM, with their areas under the curve (AUC) being 80.4%, 80.2% and 80.8%, respectively. The overall cut-off points to predict the risk of DM for WC, WHR, and WHtR were ≥88.95 cm, ≥0.92, and >0.54, respectively. The ROC analysis for BMI, on the other hand, showed acceptable ability to predict the risk of DM (AUC = 75.6%), with its cut-off point being ≥24.64 kg/m2. Even after stratifying the data by two age groups, WHtR remained a superior index to predict DM, especially in the younger age group. To conclude, no significant differences were observed between the AUC for BMI the AUCs for other indices. However, the AUCs for these indices showed significant excellent ability as opposed to the significant acceptable ability of BMI to predict DM in adult South African men.

Prevalence and sociodemographic correlates of diabetes among adults in Namibia and South Africa

OBJECTIVE

The aims of this study were to understand the prevalence and sociodemographic characteristics associated with diabetes among adults in Namibia and South Africa.

METHODS

Data from the Demographic and Health Survey for Namibia (2013) and South Africa (2016) were analyzed. The dependent variable, diabetes, was defined using lab values for blood glucose≥ 126 for Namibia, and hemoglobin A1c (HbA1c) ≥ 6.5% for South Africa. Logistic regression was used to identify independent correlates of diabetes for each country. Demographic (age, sex, geographic location, number of children), economic (wealth index, education level), and cultural (religion - Namibia, ethnicity - South Africa) factors were added in blocks to the models.

RESULTS

In Namibia, 4.6% had diabetes based on blood glucose, and 14.6% had diabetes based on HbA1c in South Africa. In Namibia, after adjustment, higher wealth was independently associated with diabetes (OR:1.67; 95% CI: 1.11, 2.50). In South Africa, after adjustment, those who were older (OR: 1.06; 95% CI: 1.04, 1.07), female (OR: 1.25; 95% CI: 1.03, 1.52), lived in a rural area (OR: 1.54; 95% CI: 1.20, 1.96), and Black (OR: 2.27; 95% CI: 1.17, 4.42) or Other (OR: 5.74; 95% CI: 2.50, 13.20) compared to White, had increased odds of diabetes.

CONCLUSIONS

Prevalence of diabetes is high in South Africa and relatively low in Namibia using reliable laboratory diagnostic indices. Strategies to address the rising burden of non-communicable diseases like diabetes are needed in sub-Saharan Africa.

Educational differences in diabetes and diabetes self-management behaviours in WHO SAGE countries

Background

Diabetes mellitus represents a substantial global health challenge, with prevalence rising in low- and middle-income countries (LMICs). Although diabetes is known to follow a socioeconomic gradient, patterns in LMICs are unclear. This study examined associations between education and diabetes, and diabetes self-management behaviours, in six LMICs.

Methods

Cross-sectional data for 31,780 participants from China, Ghana, India, Mexico, Russia, and South Africa from the World Health Organization Study on Global AGEing and adult health (SAGE) study were used. Participants aged ≥50 years completed face-to-face interviews between 2007 and 2010. Participants self-reported diabetes diagnosis, physical activity, sedentary time, fruit and vegetable consumption, any special diet/program for diabetes, whether they were taking insulin for diabetes and number of years of education. Height, weight, waist, and hip circumference were measured. Country-specific survey-weighted log-binomial regression models were fitted to examine associations between the number of years of education and self-reported diabetes diagnosis (primary analysis). In secondary analyses, among those with a self-reported diabetes diagnosis, generalised linear regression models were fitted to examine associations between education and i) physical activity, ii) sedentary time, iii) fruit and vegetable consumption, iv) special diet for diabetes, v) taking insulin, vi) BMI, vii) waist circumference and viii) hip circumference.

Results

There was strong evidence of an association between years of education and diabetes diagnosis in Ghana (RR = 1.09, 95% CI: 1.06–1.13) and India (RR = 1.09, 95% CI: 1.07–1.12) only. In India, greater years of education was associated with higher leisure physical activity, fruit and vegetable intake, rates following a special diet or taking insulin, but also higher mean BMI, waist and hip circumference. Relationships between education and self-management behaviours were rarely seen in the other countries.

Conclusions

Associations between education and diabetes, and behavioural self-management (India only) was more evident in the two least developed (Ghana and India) of the WHO SAGE countries, indicating increasing diabetes diagnosis with greater numbers of years of education. The lack of gradients elsewhere may reflect shifting risk from higher to lower educated populations. While there was some suggestion that self-management behaviours were greater with increased education in India, this was not observed in the other countries.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-12131-7.

Socioeconomic disparity in global vision loss burden due to diabetic retinopathy: an analysis on time trends from 1990 to 2017

PURPOSE

To describe the trends of socioeconomic disparity in global vision loss burden associated with diabetic retinopathy (DR) based on prevalence and years lived with disability (YLDs).

METHODS

In the Global Burden of Disease (GBD) 2017 study, we extracted global, regional, national, and World Bank categorical epidemiological data in vision impairment by time and age. We searched the Human development index (HDI) from the Human Development Report. Pearson correlation, linear regression, and Kruskal-Wallis test were conducted to analyze the correlation between YLD rates and HDI. We used the Gini coefficient and concentration index to evaluate the socioeconomic inequality trendency.

RESULTS

The global and World Bank categorical prevalence and YLDs increased from 1990 to 2017, and rose with ageing. The age-standardized prevalence and YLD rates varied geographically and highest in the Eastern Mediterranean countries. Higher vision loss burden of DR was concentrated in countries with medium level of socioeconomic development, including lower/upper middle-income and medium/high-HDI countries. The Gini coefficient decreased from 0.572 in 1990 to 0.542 in 2017, showing the decreasing between-country inequality. The concentration index decreased from 0.153 in 2000 to 0.061 in 2017, showing the reducing socioeconomic-associated disparity.

CONCLUSION

The vision loss burden of DR increased in the past few decades, with a notable declining socioeconomic disparity since 2000. Our results highlight the necessity to provide more services to reduce the vision loss burden.

Indirect and direct effects of factors associated with diabetes amongst the rural black population in the Dikgale Health and Demographic Surveillance System, South Africa

Background

Diabetes is an enormous, growing clinical and public health problem, which together with hypertension contributes significantly to the high risk of cardiovascular diseases (CVDs) globally.

Aim

To examine the indirect and direct effects of risk factors simultaneously as a network of multiple pathways leading to diabetes in the rurally based adult population (aged 15+) using a household survey.

Methods

This investigation was based on a predictive model using a cross-sectional community-based study to identify the direct and indirect effects of diabetes risk factors in the Dikgale Health and Demographic Surveillance System (HDSS) consisting of 15 villages, with 7200 households and a total population of approximately 36 000. Fasting blood glucose and total cholesterol were measured using ILAB 300 with the following cut-off values: high fasting blood glucose 7 mmol/L and triglycerides 1.70 mmol/L.

Results

A total of 1407 individuals were interviewed, of whom 1281 had their blood pressure (BP) measured. The conceptual model was validated by the goodness-of-fit indexes (comparative fit index [CFI] = 1.00, Tucker Lewis index [TLI] = 1.041, root mean square error of approximation [RMSEA] = 0.001). Hypertension had the strongest direct effect of 0.0918 on diabetes, followed by age (0.0039) and high waist circumference (−0.0023). Hypertension also mediates the effects that high waist circumference (0.0005) and triglycerides (0.0060) have on diabetes status.

Conclusion

The results in this study confirm the conceptual model considered in the risk factors for diabetes and suggest that hypertension, age and high waist circumference are the key variables directly affecting the diabetes status in the South African rural black population. The direct effect of triglycerides on diabetes suggests mediation by some measured factor(s).

Socioeconomic status and tobacco consumption: Analyzing inequalities in China, Ghana, India, Mexico, the Russian Federation and South Africa

INTRODUCTION

Globally, there has been a rapid rise in non-communicable diseases driven by changing lifestyle choices and health behaviors. Different lifestyle choices threaten to exacerbate existing health inequalities, yet evidence monitoring the extent of this impact in emerging economies is lacking. The article sets out to measure the level of wealth-related inequality and its drivers in one of these lifestyle choices, tobacco consumption, among populations aged ≥50 years in six Low- and Middle-Income Countries.

METHODS

The study provides empirical evidence of the inequality in tobacco consumption across wealth groups in China, Ghana, India, Mexico, the Russian Federation and South Africa using the Erreygers’ corrected concentration indices. These inequalities are then decomposed to gain a deeper understanding of the factors and broader social forces driving inequality. The WHO SAGE data set, collected between 2008 and 2010, is used for the analysis.

RESULTS

Current tobacco consumption is concentrated among the poor in China, Ghana, India, and South Africa, and among the wealthy in the Russian Federation and Mexico. The inequalities widen when we focus solely on the male population. Although the results differ by country, the major drivers of inequality include wealth, locality, and gender.

CONCLUSIONS

The focus on tobacco consumption in this age group is key to curbing rising healthcare costs and ensuring longevity. Policies aimed at reducing wealth-related inequalities should especially target high tobacco consumption rates among males, while simultaneously pre-empting and curbing rising rates among women.

Challenge of diabetes mellitus and researchers’ contributions to its control

The aim of this review study was to assess the past significant events on diabetes mellitus, transformations that took place over the years in the medical records of treatment, countries involved, and the researchers who brought about the revolutions. This study used the content analysis to report the existence of diabetes mellitus and the treatments provided by researchers to control it. The focus was mainly on three main types of diabetes (type 1, type 2, and type 3 diabetes). Ethical consideration has also helped to boost diabetic studies globally. The research has a history path from pharmaceuticals of organic-based drugs to metal-based drugs with their nanoparticles in addition to the impacts of nanomedicine, biosensors, and telemedicine. Ongoing and future studies in alternative medicine such as vanadium nanoparticles (metal nanoparticles) are promising.

Examining social determinants of undiagnosed diabetes in Namibia and South Africa using a behavioral model of health services use

AIMS

To examine factors associated with undiagnosed diabetes in Namibia and South Africa.

METHODS

This study used the most recent Demographic and Health Surveys (DHS) from Namibia (2013) and South Africa (2016). This study focused on adults at 35-64 years old. Using Andersen's Behavioral Model, potential contributing factors were categorized into predisposing factors (sex and education), enabling factors (wealth, health insurance, and residence), and a need factor (age, BMI, and high blood pressure). Separate multivariable logistic regression models were used to examine factors associated with undiagnosed diabetes in Namibia (N = 242) and South Africa (N = 525).

RESULTS

In Namibia, higher odds of having undiagnosed diabetes were associated with rural residence (adjusted odds ratio (aOR) = 2.21) and age younger than 45 years old (aOR = 3.20). In South Africa, odds of having undiagnosed diabetes were higher among the poorest-to-poorer group than it was in the richer-to-richest group (aOR = 2.33). In both countries, having high blood pressure was associated with lower odds of having undiagnosed diabetes (aOR = 0.31 in Namibia; aOR = 0.21 in South Africa).

DISCUSSION

Different enabling and need factors were associated with undiagnosed diabetes in these two countries, which implies potentially-different mechanisms driving the high prevalence of undiagnosed diabetes, as well as the needs for different solutions.

Knowledge and practice of diabetic foot care - A scoping review

BACKGROUND AND AIMS

This review aims to systematically map global evidence on foot-care knowledge and practices in relation to diabetes mellitus (DM) and identify areas that need further research.

METHODS

Database searches were undertaken using Google Scholar, Medline (PubMed), Academic Search Complete (EBSCOhost), and Medline (EBSCOhost). Studies were initially sought by title and focused on knowledge of diabetic foot ulcer burden. The framework by Arksey and O'Malley and the PRISMA-SCR guidelines were used to guide the methodology. The themes explored were principles of foot-care knowledge and practice and these were reported using content analysis. The mixed-methods appraisal tool (MMAT) was employed to appraise the quality of the primary studies.

RESULTS

Fifty-eight studies published between 2008 and 2018 met the inclusion criteria. Participants in various studies had varying degrees of foot-care knowledge and practice, including foot inspection, foot hygiene, glycaemic control, and foot protection. Many people had knowledge of the various aspects of foot care but fewer practiced proper foot care. The MMAT showed the majority of the articles to be of high quality.

CONCLUSIONS

Level of foot-care knowledge and practice varied in the studies. A need for intervention on foot care was highlighted.

Understanding Period Poverty: Socio-Economic Inequalities in Menstrual Hygiene Management in Eight Low- and Middle-Income Countries

Menstrual hygiene management and health is increasingly gaining policy importance in a bid to promote dignity, gender equality and reproductive health. Effective and adequate menstrual hygiene management requires women and girls to have access to their menstrual health materials and products of choice, but also extends into having private, clean and safe spaces for using these materials. The paper provides empirical evidence of the inequality in menstrual hygiene management in Kinshasa (DRC), Ethiopia, Ghana, Kenya, Rajasthan (India), Indonesia, Nigeria and Uganda using concentration indices and decomposition methods. There is consistent evidence of wealth-related inequality in the conditions of menstrual hygiene management spaces as well as access to sanitary pads across all countries. Wealth, education, the rural-urban divide and infrastructural limitations of the household are major contributors to these inequalities. While wealth is identified as one of the key drivers of unequal access to menstrual hygiene management, other socio-economic, environmental and household factors require urgent policy attention. This specifically includes the lack of safe MHM spaces which threaten the health and dignity of women and girls.

Socioeconomic inequalities in hypertension in Kenya: a decomposition analysis of 2015 Kenya STEPwise survey on non-communicable diseases risk factors

BACKGROUND

One in four Kenyans aged 18-69 years have raised blood pressure. Despite this high prevalence of hypertension and known association between socioeconomic status and hypertension, there is limited understanding of factors explaining inequalities in raised blood pressure in Kenya. Hence, we quantified the socioeconomic inequality in hypertension in Kenya and decomposed the determinants contributing to such inequality.

METHODS

We used data from the 2015 Kenya STEPwise survey for non-communicable diseases risk factors. We included 4422 respondents aged 18-69 years. We estimated the socioeconomic inequality using the concentration index (C) and decomposed the C using Wagstaff decomposition analysis.

RESULTS

The overall concentration index of hypertension in Kenya was - 0.08 (95% CI: - 0.14, - 0.02; p = 0.005), showing socioeconomic inequalities in hypertension disfavouring the poor population. About half (47.1%) of the pro-rich inequalities in hypertension was explained by body mass index while 26.7% by socioeconomic factors (wealth index (10.4%), education (9.3%) and paid employment (7.0%)) and 17.6% by sociodemographic factors (female gender (10.5%), age (4.3%) and marital status (0.6%)). Regional differences explained 7.1% of the estimated inequality with the Central region alone explaining 6.0% of the observed inequality. Our model explained 99.7% of the estimated socioeconomic inequality in hypertension in Kenya with a small non-explained part of the inequality (- 0.0002).

CONCLUSION

The present study shows substantial socioeconomic inequalities in hypertension in Kenya, mainly explained by metabolic risk factors (body mass index), individual health behaviours, and socioeconomic factors. Kenya needs gender- and equity-focused interventions to curb the rising burden of hypertension and inequalities in hypertension.

Ruthenium compounds as potential therapeutic agents for type 2 diabetes mellitus

Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder which is globally responsible for millions of fatalities per year. Management of T2DM typically involves orally administered anti-hyperglycaemic drugs in conjunction with dietary interventions. However, the current conventional therapy seems to be largely ineffective as patients continue to develop complications such as cardiovascular diseases, blindness and kidney failure. Existing alternative treatment entails the administration of organic therapeutic pharmaceuticals, but these drugs have various side effects such as nausea, headaches, weight gain, respiratory and liver damage. Transition metal complexes have shown promise as anti-diabetic agents owing to their diverse mechanisms of activity. In particular, selected ruthenium compounds have exhibited intriguing biological behaviours as Protein Tyrosine Phosphatase (PTP) 1B and Glycogen Synthase Kinase 3 (GSK-3) inhibitors, as well as aggregation suppressants for the human islet amyloid polypeptide (hIAPP). This focussed review serves as a survey on studies pertaining to ruthenium compounds as metallo-drugs for T2DM. Herein, we also provide perspectives on directions to fully elucidate in vivo functions of this class of potential metallopharmaceuticals. More specifically, there is still a need to investigate the pharmacokinetics of ruthenium drugs in order to establish their biodistribution patterns which will affirm whether these metal complexes are substitutionally inert or serve as pro-drugs. In addition, embedding oral-administered ruthenium complexes into bio-compatible polymers can be a prospective means of enhancing stability during drug delivery.

Socioeconomic inequalities in type 2 diabetes in employed individuals, nonworking spouses and pensioners

Type 2 diabetes (T2D) is a rising global epidemic with lower socioeconomic groups being more affected. Considering specific population subgroups to examine prevalence and socioeconomic inequalities in T2D is rare. Moreover, using one indicator to depict socioeconomic inequalities in health is a common practice despite evidence on differences in what different socioeconomic indicators ought to measure. This study has two aims: 1. Examine the prevalence of T2D in employed individuals, nonworking spouses and pensioners. 2. Examine socioeconomic inequalities in T2D in the three population subgroups and determine the explanatory power of income, education and occupation in employed individuals and nonworking spouses. This study is based on claims data from a statutory health insurance provider in Lower Saxony, Germany. T2D prevalence in the period between 2013 and 2017 was examined in employed individuals, nonworking spouses and pensioners. Multivariate logistic regression analysis was applied to examine socioeconomic inequalities in T2D in the three population subgroups. Explanatory power of the three socioeconomic indicators was determined by deviance analysis. Results showed that T2D prevalence was four times higher in male nonworking spouses (24.2%) and 2.6 times higher in female nonworking spouses (12.7%) compared to employed men (6.4%) and women (4.7%) respectively, while it accounted for 40% of men and 36% of women in pensioners. T2D inequalities emerged for all three socioeconomic indicators and were observed in the three subgroups. School education had the highest explanatory power in employed men and women and male nonworking spouses. Nonworking spouses are an important target group in T2D prevention interventions. The three socioeconomic indicators have independent effects and differ in their explanatory power where low school education appears to be a major risk factor. It can be discussed that health literacy and the associated health behavior play a role in mediating the association between school education and T2D.

Prevalence of Diabetes Mellitus and Its Associated Factors in Bangladesh: Application of Two-level Logistic Regression Model

This study intends to explore the prevalence of diabetes mellitus (DM) and its associated factors in Bangladesh. The necessary information was extracted from Bangladesh Demographic and Health Survey (BDHS) 2011. In bivariate analysis, Chi-square test was performed to assess the association between selected covariates and diabetes status. A two-level logistic regression model with a random intercept at each of the individual and regional level was considered to identify the risk factors of DM. A total of 7,535 individuals were included in this study. From the univariate analysis, the prevalence of DM was found to be 33.3% in 50-54 age group for instance. In bivariate setup, all the selected covariates except sex of the participants were found significant for DM (p < 0.05). According to the two-level logistic regression model, the chance of occurring DM increases as age of the participants' increases. It was observed that female participants were more likely to have DM. The occurrence of DM was 62% higher for higher educated participants, 42% higher for the individuals who came from rich family and 63% higher for the individuals having hypertension. The chance of developing diabetes among overweighed people was almost double. However, the individuals engaged in physical work had less chance to have DM. This study calls for greater attention of government and other concerned entities to come up with appropriate policy interventions to lower the risk of DM.

Ongoing and planned activities to improve the management of patients with Type 1 diabetes across Africa; implications for the future

BACKGROUND

Currently about 19 million people in Africa are known to be living with diabetes, mainly Type 2 diabetes (T2DM) (95%), estimated to grow to 47 million people by 2045. However, there are concerns with early diagnosis of patients with Type 1 diabetes (T1DM) as often patients present late with complications. There are also challenges with access and affordability of insulin, monitoring equipment and test strips with typically high patient co-payments, which can be catastrophic for families. These challenges negatively impact on the quality of care of patients with T1DM increasing morbidity and mortality. There are also issues of patient education and psychosocial support adversely affecting patients' quality of life. These challenges need to be debated and potential future activities discussed to improve the future care of patients with T1DM across Africa.

METHODOLOGY

Documentation of the current situation across Africa for patients with T1DM including the epidemiology, economics, and available treatments within public healthcare systems as well as ongoing activities to improve their future care. Subsequently, provide guidance to all key stakeholder groups going forward utilizing input from senior-level government, academic and other professionals from across Africa.

RESULTS

Whilst prevalence rates for T1DM are considerably lower than T2DM, there are concerns with late diagnosis as well as the routine provision of insulin and monitoring equipment across Africa. High patient co-payments exacerbate the situation. However, there are ongoing developments to address the multiple challenges including the instigation of universal health care and partnerships with non-governmental organizations, patient organizations, and pharmaceutical companies. Their impact though remains to be seen. In the meantime, a range of activities has been documented for all key stakeholder groups to improve future care.

CONCLUSION

There are concerns with the management of patients with T1DM across Africa. A number of activities has been suggested to address this and will be monitored.

Socio-economic inequalities in the multiple dimensions of access to healthcare: the case of South Africa

BACKGROUND

The National Development Plan (NDP) strives that South Africa, by 2030, in pursuit of Universal Health Coverage (UHC) achieve a significant shift in the equity of health services provision. This paper provides a diagnosis of the extent of socio-economic inequalities in health and healthcare using an integrated conceptual framework.

METHOD

The 2012 South African National Health and Nutrition Examination Survey (SANHANES-1), a nationally representative study, collected data on a variety of questions related to health and healthcare. A range of concentration indices were calculated for health and healthcare outcomes that fit the various dimensions on the pathway of access. A decomposition analysis was employed to determine how downstream need and access barriers contribute to upstream inequality in healthcare utilisation.

RESULTS

In terms of healthcare need, good and ill health are concentrated among the socio-economically advantaged and disadvantaged, respectively. The relatively wealthy perceived a greater desire for care than the relatively poor. However, postponement of care seeking and unmet need is concentrated among the socio-economically disadvantaged, as are difficulties with the affordability of healthcare. The socio-economic divide in the utilisation of public and private healthcare services remains stark. Those who are economically disadvantaged are less satisfied with healthcare services. Affordability and ability to pay are the main drivers of inequalities in healthcare utilisation.

CONCLUSION

In the South African health system, the socio-economically disadvantaged are discriminated against across the continuum of access. NHI offers a means to enhance ability to pay and to address affordability, while disparities between actual and perceived need warrants investment in health literacy outreach programmes.

Describing medicine therapy management of type 2 diabetes mellitus at primary health care facilities in Cape Town

Background

Rational medicine use aims to optimise chronic disease management and prevent episodes of hospitalisation that economically burden the health care system. Diabetes mellitus is one of the most prevalent chronic diseases globally, yet more than 60% of patients with diabetes are not optimally managed according to their therapeutic glycaemic targets.

Aim

To describe the use of glycated haemoglobin (HbA1c) and fasting plasma glucose results in guiding treatment changes in patients with type 2 diabetes mellitus.

Setting

Public sector primary health care facilities in the Cape Town Metropolitan Region in South Africa.

Method

Retrospective, descriptive study design was employed. Data for an 18-month period were collected during 2014 and 2015. Data were collected from patient medical records and included baseline demographics, laboratory monitoring tests and the patients' last three prescriptions.

Results

The study consisted of 575 participants (64% female) with an average age of 57 (± 11.38) years. The average baseline HbA1c for 493 participants with at least one result was 8.78% (± 1.63), and only 28% of these participants reached the glycaemic target at consequent consultations. HbA1c levels were available to guide 245 prescription changes, of which 181 of these results were outside of the target range. Of these, 15.5% had appropriate therapy adjustments, 78.4% had no change or a lateral change in their follow-up prescriptions, and 6.1% had therapy adjustments opposite to what guidelines suggest.

Conclusion

Glycaemic monitoring indicated consistent suboptimal glycaemic control in more than 60% of participants. Medicine prescribing patterns did not align with the prescribed local guidelines, Society for Metabolism, Endocrinology and Diabetes of South Africa (SEMDSA). The appropriate use and interpretation of HbA1c at a clinic level should be emphasised to promote rational use of medicines that minimise acute hospitalisation episodes and optimise patients' long-term health outcomes.