Diabetes Prevalence and Its Relationship With Education, Wealth, and BMI in 29 Low- and Middle-Income Countries

Prevalence and correlates of diagnosed and undiagnosed diabetes mellitus among adults in rural Uganda during the COVID-19 pandemic: an evaluation of a community-based screening programme

BACKGROUND

One in two people with diabetes in sub-Saharan Africa remains undiagnosed, which has contributed to the region's high rates of diabetes-related morbidity and mortality. While the COVID-19 pandemic likely exacerbated diabetes prevalence, limited data from the region, including Uganda, hampers our understanding of this impact. To address this gap, we analysed the diabetes prevalence and correlates among adults from three rural districts of Uganda using data from a community-based screening programme conducted by community health workers (CHWs) during the pandemic.

METHODS

We used anonymised data of 2587 records to analyse the prevalence and correlates of diagnosed and undiagnosed diabetes. Prevalence was presented as proportions with 95% CIs. Correlates of diabetes and undiagnosed diabetes prevalence were analysed using logistic regression and presented as ORs.

RESULTS

The overall prevalence of diabetes was 11.3% (95% CI 10.2 to 12.5%), with a 7.2% (95% CI 6.2 to 8.1%) prevalence for diagnosed diabetes. A high proportion (36.4%) of diabetes cases were undiagnosed. Older age, high body mass index and pre-existing hypertension were associated with high diabetes prevalence.

CONCLUSIONS

There was a high proportion of undiagnosed diabetes among rural adults during the pandemic. Engaging CHWs in routine diabetes screening and awareness programmes can reduce the burden of undiagnosed diabetes.

Sociodemographic and Lifestyle Factors Associated with Undiagnosed Diabetes in Indonesia: Findings from the Basic Health Research Work of Riskesdas 2018

Background

As a developing nation, there has been an increasing trend in non-communicable diseases, including diabetes mellitus (DM) in Indonesia. However, a remarkable proportion of DM cases in this archipelagic country is likely undiagnosed.

Objective

This study assessed the sociodemographic and lifestyle factors related to undiagnosed DM in Indonesians.

Methodology

This cross-sectional study analyzed secondary data from the 2018 Indonesian Basic Health Research (Riskesdas). It involved 3,755 study subjects, 3,619 individuals with high blood glucose levels meeting the DM criteria and 136 individuals with controlled DM. Multivariable regression analysis examined the associations between sociodemographic and lifestyle factors and undiagnosed diabetes.

Results

The study revealed that 80% of the DM cases among the subjects were undiagnosed. Multivariable analysis confirmed that age group, area of residence, employment, wealth quintiles and physical activity were significantly associated with higher odds of undiagnosed diabetes. Notably, sex, smoking status and vegetable consumption did not show any association with the diagnosis status of diabetes.

Conclusion

A significant portion of DM cases in Indonesia remain undiagnosed, especially among young adults, rural residents, agricultural workers and lower socioeconomic groups. Improved healthcare access, targeted screening and enhanced health education are essential to ensure early diagnosis and effective management of diabetes.

Medical alliances and diabetes-related distress in China: role of self-efficacy as a partial mediator

BACKGROUND

The prevalence of diabetes-related distress is high among diabetes mellitus patients, causing physical, psychological and economic burdens. China's general medical alliances and compact general alliances provide treatment for patients with type 2 diabetes mellitus (T2DM). This study aims to analyse the influence of medical alliances on diabetes-related distress and verified the mediating role of self-efficacy among T2DM patients.

METHODS

From one general and one compact medical alliance, data on 2156 T2DM adults >45 y of age were investigated through a questionnaire survey conducted in China. Diabetes-related distress, medical alliance data, self-efficacy information and control variables were collected. Hierarchical linear regression mediation analysis was used to analyse the influence of compact medical alliances and general medical alliances on diabetes-related distress and to verify self-efficacy as a mediator between medical alliances and diabetes-related distress.

RESULTS

Most patients (94.57%) with T2DM were suffering from diabetes-related distress, with an average score of diabetes-related distress (11.77±7.65). The respondents from compact medical alliances had lower diabetes-related distress (11.08±8.64) than from general medical alliances (12.38±6.61). Self-efficacy mediated the association between the type of medical alliance and diabetes-related distress (p<0.05). Higher income, lower health expenditure, lower education level, less sleep time, low physical exercise and low diabetes cognition were significant risk factors of diabetes-related distress (p<0.05).

CONCLUSIONS

Compact medical alliances reduced diabetic patients' diabetes-related distress significantly more than general medical alliances. Self-efficacy was a mediator between medical alliances and diabetes-related distress. Accelerating the transformation of the compact medical alliances can decrease diabetes-related distress and provide an integrated program of education, diabetes cognition and optimal sleep and exercise regimens to reduce diabetes-related distress.

Associations between education and ideal cardiovascular health metrics across 36 low- and middle-income countries

BACKGROUND

The relationship between education and cardiovascular health (CVH) metrics in low- and middle-income countries (LMICs) remains unclear. This study explores the associations between education and ideal cardiovascular health score (CVHS), as well as seven CVH metrics.

METHODS

This cross-sectional study extracted data from the STEPwise approach to surveillance surveys in 36 LMICs between 2010 and 2020. We assessed CVHS using the sum score in seven metrics defined by American Heart Association: (1) ≥ 150 min/week of moderate, or 75 min/week of vigorous activity, or an equivalent combination; (2) BMI < 25 kg/m2 for non-Asians (< 23 kg/m2 for Asians); (3) fruit and vegetable intake ≥ 4.5 servings per day; (4) nonsmoking; (5) blood pressure < 120/80 mmHg (untreated); (6) total cholesterol < 200 mg/dL (untreated); and (7) fasting blood glucose < 100 mg/dL (untreated). The ideal CVHS score ranged from 5 to 7. We disaggregated prevalence of ideal CVHS and seven metrics by education, and constructed Poisson regression models to adjust for other socioeconomic factors.

RESULTS

Among 81,327 adult participants, the overall ideal CVHS prevalence for the studied countries was highest among individuals with primary education (52.9%, 95% CI: 51.0-54.9), surpassing those of other education levels - 48.0% (95% CI: 44.6-51.3, P = 0.003) for those with no education and 39.1% (95% CI: 36.5-41.8, P < 0.001) for those with tertiary education. Five (ideal physical activity, BMI, blood pressure, total cholesterol, and blood glucose) in seven CVH metrics peaked among participants with primary or secondary education. For instance, the prevalence of ideal blood pressure among individuals with primary education was 34.4% (95% CI: 32.7-36.1), higher than the prevalence in other education levels, ranging from 28.6% to 32.3%. These patterns were concentrated in low-income countries and lower-middle-income countries, while in upper-middle-income countries, the prevalence of ideal CVHS increased with higher education levels, ranging from 15.4% for individuals with no education to 33.1% for those with tertiary education.

CONCLUSIONS

In LMICs, the association between education and ideal CVHS, along with several CVH metrics, exhibited un inverted U-shape, which may be closely related to the different stages of epidemiologic transition.

Association of Anthropometric Parameters with Elevated Fasting Blood Sugar among Filipino Adults Aged 18-65 years in Highly Urbanized Cities in the Philippines

Background and Objective

Type II Diabetes Mellitus remains a pressing public health concern among Filipino adults, particularly prevalent in urban households belonging to the middle to richest wealth population. As body composition influences glucose metabolism, understanding the potential of anthropometric parameters is vital in predicting fasting blood sugar. This study aims to generate and find the most appropriate model that can detect likelihood of elevated FBS using different anthropometric parameters.

Methods

The data set from 2018-2019, 2021 Expanded National Nutrition Survey of Department of Science and Technology - Food and Nutrition Research Institute, consisting of 14,655 adults aged 18-65 years from 33 highly urbanized cities (HUCs) was used in this study. While controlling for study variables, multiple logistic regression was used to determine significant predictors affecting the fasting blood sugar (FBS) status of these adults.

Results

The above normal status of each anthropometric parameter, in the models for BMI (aOR=2.33; p<0.01), waist circumference (aOR=2.25; p<0.01), waist-hip ratio (aOR=3.11; p<0.01), waist-to-height ratio (aOR=2.58; p<0.01), was associated with increased likelihood for elevated FBS. Age, sex, blood pressure status, and being a 4Ps recipient were all significantly associated with elevated FBS across the four adjusted final models. While the waist circumference model had the highest and an acceptable correct classification rate of detecting elevated FBS (78.57%), the waist-hip ratio model had the best goodness of fit (F: 29.56; p<0.01).

Conclusion

There is no single anthropometric parameter that can truly discern the status of elevated FBS. However, it appears the use of waist circumference and waist-hip ratio have the potential to be an indicator especially in settings where the evaluation of the actual FBS of the individuals is not feasible. Future research suggests exploring possible interaction of BP, and FBS, diet quality and adequacy, and the effectiveness of having multiple anthropometric parameters in one model.

Social determinants of health and type 2 diabetes in Asia

Type 2 diabetes mellitus (T2DM) is a major global public health challenge driven by a complex interplay of genetic, environmental, and social factors. This review highlights the effects of social determinants of health (SDOH) on T2DM in Asia, where rapid urbanization, worsening air pollution, and distinct socioeconomic structures uniquely influence disease outcomes. Key SDOH domains, socioeconomic status (education, income, and occupation), physical environment, food environment, healthcare access, and social context, were analyzed for their associations with T2DM prevalence, progression, and management. Among these, environmental and lifestyle shifts have emerged as particularly influential factors in Asia. Air pollution, particularly fine particulate matter, has been increasingly linked to insulin resistance and diabetes risk in Asian populations. Additionally, rapid urbanization and changing food environments contribute to rising T2DM incidence through shifts in lifestyle and dietary patterns. Across the diverse healthcare systems of Asian countries, primary care remains a universally critical component in addressing T2DM issues. Additionally, social capital and cohesion serve as protective factors, whereas social isolation heightens vulnerabilities. These insights underscore the importance of addressing SDOH in public health strategies to combat T2DM in Asia. Future research should prioritize longitudinal studies and culturally tailored interventions to reduce the region's diabetes burden.

Prevalence and socioeconomic factors of diabetes: a population-based cross-sectional analysis from Jordan

Background

Diabetes mellitus (DM) is a significant public health issue in Jordan. While several studies have investigated the biological and behavioural determinants' influence on diabetes mellitus incidence, prevalence and outcomes, few studies investigated socioeconomic factors. Moreover, the available Jordan-based literature lacks an investigation of the influence of socioeconomic factors on diabetes outcomes. This research seeks to evaluate the incidence of DM among the adult population of Jordan and examine the influence of significant socioeconomic variables.

Methods

The research team used the 2017-2018 Jordanian Demographic and Health Survey of individuals aged 40 and older. We used self-reported data to assess the prevalence and onset of diabetes. Descriptive and inferential analyses assessed the association between diabetes and the extracted socioeconomic variables.

Results

Of the 21 860 extracted records, 3443 (15.8%) were related to diabetic patients. Approximately, 60% of those who were diagnosed with DM were in the 40-59 years age range. Statistically significant associations were found between the prevalence of DM and socioeconomic factors. Older age and low educational attainment were significantly associated with a higher prevalence of DM. The wealth index and residential location were also significantly associated with DM prevalence.

Conclusion

The study findings emphasise the need for specifically tailored and delivered public health interventions targeting individuals with challenging socioeconomic factors such as older age and low educational attainment. Healthcare providers and policymakers should focus on delivering and sponsoring educational and awareness programmes to promote self-care and the adoption of health-seeking lifestyle behaviours and practices among unprivileged and at-risk local communities. Healthcare authorities could initiate community-based diabetes screening programmes targeting marginalised and at-risk groups.

Multimorbid life expectancy across race, socio-economic status, and sex in South Africa

Multimorbidity is increasing globally as populations age. However, it is unclear how long individuals live with multimorbidity and how it varies by social and economic factors. We investigate this in South Africa, whose apartheid history further complicates race, socio-economic, and sex inequalities. We introduce the term 'multimorbid life expectancy' (MMLE) to describe the years lived with multimorbidity. Using data from the South African National Income Dynamics Study (2008-17) and incidence-based multistate Markov modelling, we find that females experience higher MMLE than males (17.3 vs 9.8 years), and this disparity is consistent across all race and education groups. MMLE is highest among Asian/Indian people and the post-secondary educated relative to other groups and lowest among African people. These findings suggest there are associations between structural inequalities and MMLE, highlighting the need for health-system and educational policies to be implemented in a way proportional to each group's level of need.

Socioeconomic disparities in the prevalence of depression and anxiety, and their associations with diabetes in rural southwest China

BACKGROUND

This study examines how the prevalence of depression and anxiety symptoms differ by socioeconomic status and explores their associations with diabetes in rural southwest China.

METHODS

Data were collected from a cross-sectional health interview and examination survey of 5,005 adults aged ≥ 35 years in rural southwest China. Height, weight, waist circumference, and fasting blood glucose measurement were taken. Depression and anxiety symptoms were assessed using Zung's Self-rating Depression Scale (SDS) and Self-Rating Anxiety Scale (SAS), respectively. An individual socioeconomic position (SEP) index was constructed using principal component analysis.

RESULTS

The overall prevalence of depression, anxiety, comorbid depression and anxiety symptoms, and diabetes was 5.4%, 12.8%, 4.0%, and 9.6%, respectively. Females had higher prevalence of depression (7.3% vs. 3.4%, P < 0.01), anxiety (17.4% vs. 8.1%, P < 0.01), and comorbid depression and anxiety symptoms (5.8% vs. 2.3%, P < 0.01) than males. Han ethnicity participants had a higher prevalence of depression, anxiety, and comorbid depression and anxiety symptoms than ethnic minority participants (P < 0.01). Individuals with a lower education level and lower SEP were more likely to experience depression, anxiety, and comorbid depression and anxiety symptoms (P < 0.01), while individuals with good access to medical services were more likely to exhibit depression symptoms and comorbid depression and anxiety symptoms (P < 0.05). Multivariable logistic regression analysis found that individuals with depression symptoms (OR = 1.78, 95% CI: 1.25 to 2.53), anxiety symptoms (OR = 1.66, 95% CI: 1.30 to 2.16), and comorbid depression and anxiety symptoms (OR = 1.61, 95% CI: 1.07 to 2.44) all had a greater probability of having diabetes (P < 0.01); depression symptoms had the strongest association with diabetes prevalence (P < 0.01).

CONCLUSIONS

There are significant socioeconomic differences in the prevalence of depression and anxiety in rural southwest China, and both depression and anxiety symptoms have strong associations with diabetes. Future diabetes prevention and management strategies should focus on individuals with depression, anxiety, and comorbid depression and anxiety symptoms.

Overcoming dietary complexity in type 2 diabetes: influencing factors and coping strategies

BACKGROUND

Adherence to dietary guidelines is a fundamental aspect of diabetes management; however, it poses a significant challenge for patients with diabetes. Our research aims to assess the level of dietary compliance among individuals with type 2 diabetes (T2DM) and to identify the factors that influence their adherence to dietary advice.

METHODS

This study was a cross-sectional survey. The patients with T2DM undergoing treatment at our hospital from March, 2023, to June, 2024 were included. Compliance with dietary recommendations was assessed using the validated dietary compliance scale for type 2 diabetes mellitus patients (DCS-T2DM). Spearman correlation and logistic regression analyses were conducted to evaluate the factors influencing dietary compliance in patients with T2DM.

RESULTS

A total of 308 T2DM patients were included in our study. The results revealed that 46.10% of the participants had suboptimal dietary compliance. There were significant correlations between dietary compliance and several demographic and clinical factors, including age (r = 0.501), gender (r = 0.447), education level (r = 0.610), average monthly household per capita income (r = 0.627), and the duration, since T2DM diagnosis (r = 0.552), all of which were statistically significant (p < 0.05). Logistic regression identified age (OR = 1.705, 95%CI 1.262 ~ 1.987), gender (OR = 2.401, 95%CI 1.909 ~ 3.134), education level (OR = 3.083, 95%CI 2.434 ~ 3.957), average monthly household per capita income (OR = 3.721, 95%CI 2.553 ~ 4.405), and the time since T2DM diagnosis (OR = 2.470, 95%CI 1.755 ~ 3.262) as significant predictors of dietary compliance.

CONCLUSIONS

46.10% of patients with T2DM exhibited suboptimal dietary adherence, with age, gender, education, income, and diabetes duration significantly predicting compliance. It is imperative for healthcare providers to devise individualized intervention strategies that incorporate these pivotal factors to enhance dietary adherence in patients with T2DM.

Real-world smartphone-based point-of-care diagnostics in primary health care to monitor HbA1c levels in people with diabetes

BACKGROUND

The lack of accurate and affordable monitoring of glycated hemoglobin (HbA1c) is a common issue among patients with diabetes in low- and middle-income countries. We aimed to test a tablet- and smartphone-based point-of-care (TSB POC) device against a local laboratory-based measure of HbA1c for monitoring diabetes under real-world conditions.

METHODS

For this cross-sectional clinical method applicability study, capillary and venous blood was collected in duplicate and analyzed at local primary health care centers. For a heterogeneity test, the tests were performed by an expert, and by a team of local nurses. The study was conducted in a multicenter design in rural and urban Aceh, Indonesia in 2019, and included a total of 533 adults. We mainly used Bland-Altman plots to assess the number of readings within the 95%-limits of agreement (LoA) and Deming regressions.

RESULTS

The results show a mean difference between capillary HbA1c on the test device and the reference method of -0.54 [CI0.95 = -1.6933; 0.6048] with 5.21% of measurements outside the LoA and a Pearson's r = 0.91 in the Deming Regression. There is no significant difference in test concordance between local nurses and the expert (4.23% versus 5.13% results outside the LoA [CI0.95 = -0.0331; 0.0511]).

CONCLUSIONS

TSB POC for analysis of HbA1c is an acceptable alternative for accessible monitoring of diabetes patients under these conditions. This method could provide access to high-quality diagnostic decisions through regular and cost-effective HbA1c monitoring directly in healthcare facilities, thus providing better access to essential health services.

Burdens of type 2 diabetes and cardiovascular disease attributable to sugar-sweetened beverages in 184 countries

The consumption of sugar-sweetened beverages (SSBs) is associated with type 2 diabetes (T2D) and cardiovascular diseases (CVD). However, an updated and comprehensive assessment of the global burden attributable to SSBs remains scarce. Here we estimated SSB-attributable T2D and CVD burdens across 184 countries in 1990 and 2020 globally, regionally and nationally, incorporating data from the Global Dietary Database, jointly stratified by age, sex, educational attainment and urbanicity. In 2020, 2.2 million (95% uncertainty interval 2.0-2.3) new T2D cases and 1.2 million (95% uncertainty interval 1.1-1.3) new CVD cases were attributable to SSBs worldwide, representing 9.8% and 3.1%, respectively, of all incident cases. Globally, proportional SSB-attributable burdens were higher among men versus women, younger versus older adults, higher- versus lower-educated adults, and adults in urban versus rural areas. By world region, the highest SSB-attributable percentage burdens were in Latin America and the Caribbean (T2D: 24.4%; CVD: 11.3%) and sub-Saharan Africa (T2D: 21.5%; CVD: 10.5%). From 1990 to 2020, the largest proportional increases in SSB-attributable incident T2D and CVD cases were in sub-Saharan Africa (+8.8% and +4.4%, respectively). Our study highlights the countries and subpopulations most affected by cardiometabolic disease associated with SSB consumption, assisting in shaping effective policies and interventions to reduce these burdens globally.

Neuroimmune axis: Linking environmental factors to pancreatic β-cell dysfunction in Diabetes

Pancreatic β-cells are specialized in secreting insulin in response to circulating nutrients, mainly glucose. Diabetes is one of the most prevalent endocrine-metabolic diseases characterized by an imbalance in glucose homeostasis, which result mainly from lack of insulin production (type 1 diabetes) or insufficient insulin and peripheral insulin resistance (type 2 diabetes), both influenced by genetic and environmental components. Pancreatic β-cell dysfunction and islet inflammation are common characteristics of both types of the disease. Pancreatic islets are a highly innervated tissue whose function can be influenced by the brain, either directly through the autonomic nervous system or indirectly via neuroendocrine mechanisms. In addition, it is well-established that there is a fine-tuned communication between the immune and neuroendocrine tissues in maintaining endocrine pancreas homeostasis. Various psycho-social, physico-chemical and lifestyle environmental factors have been associated with diabetes risk. In this review, I briefly comment on certain aspects of the psycho-neuro-immune interactions that link environmental factors and the endocrine pancreas, leading to metabolic health or diabetes. Interdisciplinary research, embracing new and broader perspectives, should be conducted to explore strategies for preventing or slowing down the constant increase in diabetes worldwide.

Mediating effects of hypertension in association between household wealth disparities and diabetes among women of reproductive age: analysis of eight countries in sub-Saharan Africa

BACKGROUND

Diabetes prevalence appears to be increasing in low- and middle-income countries, yet little is known about how hypertension status mediates the association between household wealth and diabetes. This study examined the mediation effects of hypertension in associations between household wealth and diabetes in eight sub-Saharan African (SSA) countries.

METHODS

This is a cross-sectional study of 71 577 women from recent Demographic and Health Surveys for eight SSA countries. Sample-weighted logistic regression and causal mediation analyses were conducted.

RESULTS

Of the 71 577 women, 1.1% (782) reported ever being diagnosed with diabetes. Women with diabetes were more likely to have hypertension compared with those without diabetes (54.9% vs 9.9%). The odds of diabetes were significantly higher among women with hypertension (adjusted odds ratio [OR] 5.71 [95% confidence interval {CI} 4.62 to 7.05]) and women from rich households (adjusted OR 1.65 [95% CI 1.23 to 2.22]) compared with their respective counterparts. Hypertension status mediated 27.4% of the association between household wealth and diabetes status.

CONCLUSIONS

Hypertension status partly contributes to the associations between household wealth disparities and diabetes status among women in the selected countries. Further research and targeted interventions are needed to explore specific mechanisms and confounding factors related to household wealth disparities, hypertension status and diabetes prevalence in this population.

Association of socioeconomic inequality in cardiovascular disease risk with economic development across 57 low- and middle-income countries: Cross-sectional analysis of nationally representative individual-level data

BACKGROUND

According to epidemiological transition theory, cardiovascular disease (CVD) risk shifts down the socioeconomic distribution with economic development.

METHODS

We tested this hypothesis using nationally representative data on 88,559 individuals aged 40-80 years from 57 low- and middle-income countries (LMICs). We used measured risk factors to estimate the 10-year probability of a CVD event (CVD risk) and proxied socioeconomic status (SES) by years of education. We used a concentration index to measure socioeconomic inequality in CVD risk and decomposed it into risk factor contributions. We estimated associations CVD risk and inequality in that risk with gross national income (GNI) per capita (pc).

RESULTS

We estimated that a 1% higher GNI pc was associated with higher mean CVD risk of 0.0265 percentage points (pp) (95% CI: 0.0169-0.0361) among females and 0.0150 pp (0.0082-0.0219) among males. All risk factors, except systolic blood pressure (SBP) and smoking among females, were positively associated with GNI pc. In most countries, lower SES was associated with higher CVD risk. Age, SBP, diabetes (females only) and smoking (males particularly) contributed most to this inequality, while inequality in total cholesterol was mostly in the opposite direction. Lower SES individuals tended to have relatively higher CVD risk at higher GNI pc, particularly among females. This was due to differences in the distributions of SBP and, for females, age and diabetes.

CONCLUSIONS

Economic development was associated with higher and more unequal CVD risk, which may warrant shifting targeting of CVD primary prevention to socially disadvantaged groups.

The contextual awareness, response and evaluation (CARE) diabetes project: study design for a quantitative survey of diabetes prevalence and non-communicable disease risk in Ga Mashie, Accra, Ghana

Diabetes is estimated to affect between 3.3% and 8.3% of adults in Ghana, and prevalence is expected to rise. The lack of cost-effective diabetes prevention programmes designed specifically for the Ghanaian population warrants urgent attention. The Contextual Awareness, Response and Evaluation (CARE): Diabetes Project in Ghana is a mixed methods study that aims to understand diabetes in the Ga Mashie area of Accra, identify opportunities for community-based intervention and inform future diabetes prevention and control strategies. This paper presents the study design for the quantitative survey within the CARE project. This survey will take place in the densely populated Ga Mashie area of Accra, Ghana. A household survey will be conducted using simple random sampling to select households from 80 enumeration areas identified in the 2021 Ghana Population and Housing Census. Trained enumerators will interview and collect data from permanent residents aged ≥ 25 years. Pregnant women and those who have given birth in the last six months will be excluded. Data analysis will use a combination of descriptive and inferential statistics, and all analyses will account for the cluster sampling design. Analyses will describe the prevalence of diabetes, other morbidities, and associated risk factors and identify the relationship between diabetes and physical, social, and behavioural parameters. This survey will generate evidence on drivers and consequences of diabetes and facilitate efforts to prevent and control diabetes and other NCDs in urban Ghana, with relevance for other low-income communities.

The effect of vildagliptin versus metformin on hepatic steatosis in type 2 diabetic patients: a randomized controlled trial

BACKGROUND

The risk of hepatic steatosis (HS) is elevated in patients with type 2 diabetes mellitus (T2D). Antidiabetic medications may contribute to the prevention or treatment of HS. This study aimed to compare the effects of vildagliptin and metformin on hepatic steatosis in newly diagnosed T2D patients, using the Hepatic Steatosis Index (HSI) and ultrasound grading.

METHODS

The study included 246 newly diagnosed T2D patients who were randomly assigned to two groups. The first group (117 patients) received 50 mg of vildagliptin orally twice daily. The second group (129 patients) received 500 mg of metformin orally twice daily with meals, and the dosage could be gradually increased by 500 mg per week, up to a maximum daily dose of 2000 mg. Baseline and 6-month follow-up assessments included fasting blood glucose (FBG), HbA1c, weight, body mass index (BMI), waist circumference (WC), hip circumference (HC), the Hepatic Steatosis Index (HSI), and hepatic steatosis grading via ultrasound.

RESULTS

Both groups showed significant improvements in FBG, HbA1c, weight, BMI, WC, HC, HSI, and ultrasound grading of hepatic steatosis from baseline to the 6-month follow-up (p < 0.001). The metformin group demonstrated significantly greater reductions in weight and BMI compared to the vildagliptin group (p = 0.001 and p = 0.009, respectively). However, there was no significant difference between the two groups in terms of hepatic steatosis improvement on ultrasound. Correlation analysis revealed that HSI was significantly associated with HbA1c, BMI, WC, and HC (p < 0.001 for all), as well as FBG (p = 0.008), but not with age. The lipid profile, particularly total cholesterol and LDL, was identified as a stronger predictor of hepatic steatosis, based on high AUC, sensitivity, and specificity values.

CONCLUSION

Both vildagliptin and metformin are effective in improving glycemic control in newly diagnosed T2D patients, as evidenced by reductions in FBG and HbA1c levels. Additionally, both drugs significantly reduced the HSI, body weight, and BMI, with metformin showing a more pronounced effect on weight and BMI. Both vildagliptin and metformin effectively decreased hepatic steatosis in T2D patients. Total cholesterol and LDL are important predictors of hepatic steatosis.

TRIAL REGISTRATION

Trial Registration ID: UMIN000055121, registered on 30/07/2024 (retrospectively registered).

Assessing Type 2 Diabetes Risk in the Post-Pandemic Era: A Pharmacy-Led FINDRISC Screening Study

Diabetes mellitus (DM) is a major global health issue, with type 2 diabetes (T2D) accounting for over 90% of cases. Community pharmacies, given their accessibility, are well positioned to assist in early detection and management of T2D. This study evaluated post-pandemic T2D risk in a Portuguese population using the Finnish Diabetes Risk Score (FINDRISC) across five community pharmacies. A total of 494 participants aged 40 or older without a prior diagnosis of diabetes were assessed. The mean FINDRISC score was 12.3, and 29.8% were identified as high or very high-risk, with 8.7% referred to general practitioners for follow-up based on elevated glycated hemoglobin (HbA1c). Key risk factors include age, body mass index, waist circumference, lack of physical activity, and family history of diabetes. Lower educational levels were also associated with higher diabetes risk. Community pharmacies are shown to play an essential role in screening and educating at-risk populations, emphasizing the importance of physical activity, healthy diets, and regular monitoring. These findings reinforce the value of community pharmacists in mitigating T2D risk and enhancing public health outcomes through cost-effective, validated screening tools like FINDRISC. Finally, pre-pandemic FINDRISC studies discussed show similar results suggesting that the COVID-19 pandemic did not significantly impact the overall risk profile for T2D.

Implementation of national policies and interventions (WHO Best Buys) for non-communicable disease prevention and control in Ghana: a mixed methods analysis

BACKGROUND

The World Health Organization (WHO) encourages all member states to adopt and implement a package of essential evidence-based interventions called the Best Buys to reduce the burden of non-communicable diseases (NCDs). To date, little is known about the implementation of national policies and interventions for NCD control in the WHO member states in sub-Saharan Africa. Our study aimed to evaluate the implementation of national policies and interventions (WHO Best Buys) for non-communicable disease prevention and control in Ghana.

METHODS

This was explanatory mixed methods research which started with a document review of Ghana's WHO Best Buys scores from the 2015, 2017, 2018, 2020 and 2022 WHO NCD Progress Monitor Reports. Thereafter, we conducted 25 key informant interviews and one focus group discussion (11 participants) with key policymakers and stakeholders in the NCD landscape in Ghana to understand the implementation of the NCD policies and interventions, and the policy implementation gaps and challenges faced. Data from the NCD Progress reports were presented using mean scores whilst the qualitative data was analysed thematically.

RESULTS

Ghana has shown some advancements in the implementation of the WHO Best Buys measures. Ghana's implementation scores for 2015, 2017, 2020 and 2022 were 5.0, 9.0, 5.0 and 5.5 respectively, against the mean implementation scores of 7.6/19 for lower-middle-income countries and 9.5/19 for upper-middle-income countries. Efforts to decrease major risk factors such as excessive alcohol consumption and unhealthy diet have been progressing slowly. The most common challenges were related to a) the role of socio-cultural factors, b) stakeholder engagement, c) enforcement and implementation of public health policies, d) implementation guidelines, e) public awareness and education on NCDs, f) financing of NCD prevention and control, g) curative-centered health systems, and h) over-centralization of NCD care.

CONCLUSION

Ghana has made progress in adopting the WHO Best Buys targeting risk factors of NCDs. However, the country faces contextual barriers to effective implementation. With the retrogression of some measures over time despite making progress in some earlier years, further investigation is needed to identify facilitators for sustained implementation of the WHO Best Buys interventions.

Decentralization Matters: Association of Adherence to Treatment and Distance for the Management of Non-Communicable Diseases in Rural Tanzania

Since March 2019, a non-communicable diseases program has been established at hospital level, with enrollment and clinical reassessment every 6 months. Since July 2023, monthly enrollment and visits have also been conducted at health center level. This study aimed at assessing the adherence to scheduled follow-up visits following the decentralization of the integrated NCDs program from Hospital to Health Center level and investigate factors influencing follow-up adherence. The study was performed in a rural district in Iringa Region, Tanzania. Adherence was measured at both levels. Multivariate regression analysis was conducted to describe socio-demographic and clinical factors influencing attendance at the 6-month hospital-level visit. Among 2198 patients enrolled at the hospital level, weighted adherence over 42 months was 40.8% (95% CI 39.0-42.6%) at the 6-month visit. Multivariate analysis revealed that as the distance from the hospital increased, the probability of attendance decreased (OR 0.17; 95% CI: 0.08-0.39). Among 571 patients enrolled at the residence level, adherence over the first 10 months of program implementation was 91.6% (90.4-92.8%). The findings showed that distance was by far the most important barrier to follow-up adherence and suggested that decentralizing the program from the hospital to peripheral health centers may ensure high follow-up rates.

The economic burden of type 2 diabetes on the public healthcare system in Kenya: a cost of illness study

BACKGROUND

The burden of chronic non-communicable diseases (NCDs) is a growing public health concern. The availability of cost-of-illness data, particularly public healthcare costs for NCDs, is limited in Sub-Saharan Africa (SSA), yet such data evidence is needed for policy action.

OBJECTIVE

The objective of this study was to estimate the economic burden of type 2 diabetes (T2D) on Kenya's public healthcare system in 2021 and project costs for 2045.

METHODS

This was a cost-of-illness study using the prevalence-based bottom-up costing approach to estimate the economic burden of T2D in the year 2021. We further conducted projections on the estimated costs for the year 2045. The costs were estimated corresponding to the care, treatment, and management of diabetes and some diabetes complications based on the primary data collected from six healthcare facilities in Nairobi and secondary costing data from previous costing studies in low and middle-income countries (LMICs). The data capture and costing analysis were done in Microsoft Excel 16, and sensitivity analysis was conducted on all the parameters to estimate the cost changes.

RESULTS

The total cost of managing T2D for the healthcare system in Kenya was estimated to be US$ 635 million (KES 74,521 million) in 2021. This was an increase of US$ 2 million (KES 197 million) considering the screening costs of undiagnosed T2D in the country. The major cost driver representing 59% of the overall costs was attributed to T2D complications, with nephropathy having the highest estimated costs of care and management (US$ 332 million (KES 36, 457 million). The total cost for T2D was projected to rise to US$ 1.6 billion (KES 177 billion) in 2045.

CONCLUSION

This study shows that T2D imposes a huge burden on Kenya's healthcare system. There is a need for government and societal action to develop and implement policies that prevent T2D, and appropriately plan care for those diagnosed with T2D.

Diabetes and all-cause mortality among middle-aged and older adults in China, England, Mexico, rural South Africa, and the United States: A population-based study of longitudinal aging cohorts

Objective

There is a need for comparable worldwide data on the impact of diabetes on mortality. This study assessed diabetes and all-cause mortality among middle-aged and older adults in five countries.

Research Design and Methods

We analyzed adults aged 51 years or older followed between 2010 and 2020 from population-based cohorts in China, England, Mexico, rural South Africa, and the United States. Diabetes was defined by self-report or an elevated diabetes blood-based biomarker meeting the clinical criteria for diabetes. All-cause mortality was assessed through linkages or informant interviews. We used Poisson regression models to estimate mortality rate ratios and mortality rate differences, comparing people with diabetes to those without diabetes. Models were adjusted for age, gender, education, smoking status, body mass index, and economic status.

Results

We included 29,397 individuals, of whom 4,916 (16.7%) died during the study period. The median follow-up time ranged from 4.6 years in South Africa to 8.3 years in China. The adjusted all-cause mortality rate ratios for people with diabetes versus those without diabetes ranged from 1.53 (95% CI: 1.39-1.68) in the United States to 2.02 (95% CI: 1.34-3.06) in Mexico. The adjusted mortality rate differences (per 1,000 person-years) for people with diabetes versus those without diabetes ranged from 11.9 (95% CI: 4.8-18.9) in England to 24.6 (95% CI: 12.2-37.0) in South Africa.

Conclusions

Diabetes was associated with increased all-cause mortality in population-based cohorts across five diverse countries. There is an urgent need to implement clinical and public health interventions to improve diabetes outcomes globally.

Association of socioeconomic and lifestyle factors with prevalence of diabetes in rural southwest China: a structural equation modelling approach

OBJECTIVES

This study aimed to investigate the prevalence of diabetes using structural equation modelling (SEM) to examine the pathways and associations of socioeconomic and lifestyle factors on diabetes in rural southwest China.

DESIGN

Data were collected from a cross-sectional health interview and examination survey among individuals aged ≥35 years in rural southwest China. Fasting blood glucose, blood pressure, height, weight and waist circumference (WC) were measured for each participant. SEM was employed to assess the relationships between demographic characteristics (sex, age and ethnicity), socioeconomic position (SEP; annual household income, education level and access to medical services), lifestyle factors (obesity status (body mass index and WC) and physical inactivity), hypertension, hyperlipidaemia and family history of diabetes.

SETTING

This study was conducted in rural Yunnan Province of China.

PARTICIPANTS

7536 individuals aged ≥35 years consented to participate in the study.

RESULTS

The overall prevalence of diabetes in the present study was 8.3%. Prevalence did not differ by gender (prevalence for both men and women was 8.3% (p>0.05)). The results of SEM indicated that SEP, age, ethnicity, obesity status and physical inactivity had both significant direct and indirect effects on diabetes, with total effect size of 0.091, 0.149, -0.094, 0.212 and 0.089, respectively (p<0.01). Family history of diabetes (0.128, p<0.01), hypertension (0.135, p<0.01) and hyperlipidaemia (0.137, p<0.01) were directly associated with diabetes.

CONCLUSIONS

Socioeconomic and lifestyle factors have both direct and indirect effects on prevalence of diabetes in rural southwest China. Future efforts to implement comprehensive interventions to promote the prevention and control of diabetes should in particular focus on obese individuals.

Diabetes Disparities in the United States: Trends by Educational Attainment from 2001 to 2020

INTRODUCTION

Tracking changes in socioeconomic disparities in diabetes in the U.S. is important to evaluate progress in health equity and guide prevention efforts. Disparities in diabetes prevalence by educational attainment from 2001 to 2020 were investigated.

METHODS

Using a serial cross-sectional design, data from 33,220 adults aged 30-79 assessed in nine rounds of the National Health and Nutrition Examination Surveys between 2001 and 2020 were analyzed in 2023-2024. Diabetes was defined as self-reported prior diagnosis, elevated glycated hemoglobin (HbA1c≥6.5%), or use of diabetes medications. Marginalized age- and covariate-adjusted prevalence differences (PD) and prevalence ratios (PR) of diabetes by educational attainment (less than high school graduation, high school graduation, some college education or associate degree, or college graduation [reference]) by calendar period (2001-2004, 2005-2008, 2009-2012, 2013-2016, 2017-2020) were derived from logistic regression models.

RESULTS

From 2001 to 2020, age-adjusted diabetes prevalence was consistently higher among adults without a college degree. Adults without a high school diploma exhibited the largest disparities in both 2001-2004 (PD 8.0%; 95%CI 5.6-10.5 and PR 2.1; 95%CI 1.5-2.6) and 2017-20 (PD 11.0%; 95%CI 6.7-15.2 and PR 2.1; 95%CI 1.5-2.7). Between 2001-2004 and 2017-2020, the absolute disparity in diabetes changed only among adults with a high school diploma (increase from PD 1.7%; 95%CI -0.5- 3.9 to PD 8.8% 95%CI 4.1-13.4, respectively), while the PR did not change in any group. Education-related disparities in diabetes were attenuated after accounting for socio-demographic factors and BMI.

CONCLUSIONS

From 2001 to 2020, national education-related disparities in diabetes prevalence have shown no signs of narrowing.

Metformin monotherapy versus predominantly older non-metformin antidiabetic medications for cerebrovascular risk in early type 2 diabetes management

AIM

Choosing the initial treatment for type 2 diabetes (T2D) is pivotal, requiring consideration of solid clinical evidence and patient characteristics. Despite metformin's historical preference, its efficacy in preventing cerebrovascular events lacked empirical validation. This study aimed to evaluate the associations between first-line monotherapy (metformin or non-metformin antidiabetic medications) and cerebrovascular complications in patients with T2D without diabetic complications.

METHODS

We analysed 9090 patients with T2D without complications who were prescribed either metformin or non-metformin medications as initial therapy. Propensity score matching ensured group comparability. Cox regression analyses, stratified by initial metformin use, assessed cerebrovascular disease risk, adjusting for multiple covariates and using competing risk analysis. Metformin exposure was measured using cumulative defined daily doses.

RESULTS

Metformin users had a significantly lower crude incidence of cerebrovascular diseases compared with non-users (p < .0001). Adjusted hazard ratios (aHRs) consistently showed an association between metformin use and a lower risk of overall cerebrovascular diseases (aHRs: 0.67-0.69) and severe events (aHRs: 0.67-0.69). The association with reduced risk of mild cerebrovascular diseases was significant across all models (aHRs: 0.73-0.74). Higher cumulative defined daily doses of metformin correlated with reduced cerebrovascular risk (incidence rate ratio: 0.62-0.94, p < .0001), indicating a dose-dependent effect.

CONCLUSION

Metformin monotherapy is associated with a reduced risk of cerebrovascular diseases in early-stage T2D, highlighting its dose-dependent efficacy. However, the observed benefits might also be influenced by baseline differences and the increased risks associated with other medications, such as sulphonylureas. These findings emphasize the need for personalized diabetes management, particularly in mitigating cerebrovascular risk in early T2D stages.

The built environment is more predictive of cardiometabolic health than other aspects of lifestyle in two rapidly transitioning Indigenous populations

Background

Many subsistence-level and Indigenous societies around the world are rapidly experiencing urbanization, nutrition transition, and integration into market-economies, resulting in marked increases in cardiometabolic diseases. Determining the most potent and generalized drivers of changing health is essential for identifying vulnerable communities and creating effective policies to combat increased chronic disease risk across socio-environmental contexts. However, comparative tests of how different lifestyle features affect the health of populations undergoing lifestyle transitions remain rare, and require comparable, integrated anthropological and health data collected in diverse contexts.

Methods

We developed nine scales to quantify different facets of lifestyle (e.g., urban infrastructure, market-integration, acculturation) in two Indigenous, transitioning subsistence populations currently undergoing rapid change in very different ecological and sociopolitical contexts: Turkana pastoralists of northwest Kenya (n = 3,692) and Orang Asli mixed subsistence groups of Peninsular Malaysia (n = 688). We tested the extent to which these lifestyle scales predicted 16 measures of cardiometabolic health and compared the generalizability of each scale across the two populations. We used factor analysis to decompose comprehensive lifestyle data into salient axes without supervision, sensitivity analyses to understand which components of the multidimensional scales were most important, and sex-stratified analyses to understand how facets of lifestyle variation differentially impacted cardiometabolic health among males and females.

Findings

Cardiometabolic health was best predicted by measures that quantified urban infrastructure and market-derived material wealth compared to metrics encompassing diet, mobility, or acculturation, and these results were highly consistent across both populations and sexes. Factor analysis results were also highly consistent between the Turkana and Orang Asli and revealed that lifestyle variation decomposes into two distinct axes-the built environment and diet-which change at different paces and have different relationships with health.

Interpretation

Our analysis of comparable data from Indigenous peoples in East Africa and Southeast Asia revealed a surprising amount of generalizability: in both contexts, measures of local infrastructure and built environment are consistently more predictive of cardiometabolic health than other facets of lifestyle that are seemingly more proximate to health, such as diet. We hypothesize that this is because the built environment impacts unmeasured proximate drivers like physical activity, increased stress, and broader access to market goods, and serves as a proxy for the duration of time that communities have been market-integrated.

The Association Between Depressive Symptoms, Access to Diabetes Care, and Glycemic Control in Five Middle-Income Countries

OBJECTIVE

The relationship between depression, diabetes, and access to diabetes care is established in high-income countries (HICs) but not in middle-income countries (MICs), where contexts and health systems differ and may impact this relationship. In this study, we investigate access to diabetes care for individuals with and without depressive symptoms in MICs.

RESEARCH DESIGN AND METHODS

We analyzed pooled data from nationally representative household surveys across Brazil, Chile, China, Indonesia, and Mexico. Validated survey tools Center for Epidemiologic Studies Depression Scale Revised, Composite International Diagnostic Interview, Short Form, and Patient Health Questionnaire identified participants with depressive symptoms. Diabetes, defined per World Health Organization Package of Essential Noncommunicable Disease Interventions guidelines, included self-reported medication use and biochemical data. The primary focus was on tracking diabetes care progression through the stages of diagnosis, treatment, and glycemic control. Descriptive and multivariable logistic regression analyses, accounting for gender, age, education, and BMI, examined diabetes prevalence and care continuum progression.

RESULTS

The pooled sample included 18,301 individuals aged 50 years and above; 3,309 (18.1%) had diabetes, and 3,934 (21.5%) exhibited depressive symptoms. Diabetes prevalence was insignificantly higher among those with depressive symptoms (28.9%) compared with those without (23.8%, P = 0.071). Co-occurrence of diabetes and depression was associated with increased odds of diabetes detection (odds ratio [OR] 1.398, P < 0.001) and treatment (OR 1.344, P < 0.001), but not with higher odds of glycemic control (OR 0.913, P = 0.377).

CONCLUSIONS

In MICs, individuals aged 50 years and older with diabetes and depression showed heightened diabetes identification and treatment probabilities, unlike patterns seen in HICs. This underscores the unique interplay of these conditions in different income settings.

The single point insulin sensitivity estimator (SPISE) is associated with bone health in Arab adults

BACKGROUND

The Single Point Insulin Sensitivity Estimator (SPISE) index is a surrogate marker for insulin sensitivity. Given the emerging role of bone as an active endocrine organ, its associations with non-invasive measures of extra-skeletal functions such as insulin sensitivity warrant investigation.

AIMS

This study aimed to explore the relationship between the SPISE index and Bone Mineral Density (BMD) in an adult population.

METHODS

Data from a total of 1270 Arab adults (84% females, mean age 56.7 ± 8.1 years) from the Osteoporosis Registry Database of the Chair for Biomarkers of Chronic Diseases in King Saud University, Riyadh, Saudi Arabia was used in this study. T-scores and SPISE were calculated. Regression models were used to determine associations between SPISE and bone health indices.

RESULTS

The low BMD group (N = 853; T-score <-1.0) had significantly higher SPISE values than those with normal BMD (N = 417; T-score - 1.0 and above) (4.6 ± 1.3 vs. 4.3 ± 1.2, p < 0.001). Multivariate linear regression, adjusted for covariates, confirmed a significant inverse association between SPISE and BMD for all participants (β=-0.22, p < 0.001), as well as both groups [normal BMD (β = -0.10, p = 0.02) and low BMD groups (β = -0.15, p < 0.001)]. SPISE, family history of T2DM, and history of fractures collectively account for 17% of the variances perceived in T-score for all participants (p < 0.001).

CONCLUSIONS

A significant inverse association between the SPISE index and BMD was observed in adults, suggesting a link between BMD and extra-skeletal health. Underlying mechanisms need to be investigated prospectively using BMD as secondary outcomes in lifestyle modification programs.

The effect of socioeconomic status, depression, and diabetes symptoms severity on diabetes patient's life satisfaction in India

Evidence suggests that diabetes is on the rise in India, affecting many people's life satisfaction. Comprehensive estimation of life satisfaction among diabetes patients does not exist in the country. This study examined the effects of socioeconomic status, depression, and diabetes symptoms severity on the life satisfaction of diabetes patients by controlling various demographic variables. It was a cross-sectional study comprising 583 diabetes patients from Punjab, India. Patients were interviewed using a multi-stage purposeful random sampling method. Descriptive analysis and partial least squares structural equation modelling were used in the study to test the hypotheses. Results revealed that socioeconomic status, depression and diabetes symptoms severity significantly influence the life satisfaction of diabetes patients. A 1% drop in diabetes symptoms severity corresponds to a 0.849% increase in life satisfaction, whereas a 1% decrease in depression results in a 0.898% increase in life satisfaction. Patients with higher diabetes symptoms severity were coping with common mental disorders. Women reported higher diabetes symptoms severity and depression than men, resulting in lower life satisfaction. An experimental evaluation of the effects of socioeconomic status, depression and diabetes symptoms severity, and numerous demographic factors on life satisfaction was reported. The findings will help policymakers understand the problem associated with life satisfaction among diabetes patients in the country.

Causal association between type 2 diabetes mellitus and acute suppurative otitis media: insights from a univariate and multivariate Mendelian randomization study

Background

Type 2 diabetes mellitus (T2DM) and hearing loss (HL) constitute significant public health challenges worldwide. Recently, the association between T2DM and HL has aroused attention. However, possible residual confounding factors and other biases inherent to observational study designs make this association undetermined. In this study, we performed univariate and multivariable Mendelian Randomization (MR) analysis to elucidate the causal association between T2DM and common hearing disorders that lead to HL.

Methods

Our study employed univariate and multivariable MR analyses, with the Inverse Variance Weighted method as the primary approach to assessing the potential causal association between T2DM and hearing disorders. We selected 164 and 9 genetic variants representing T2DM from the NHGRI-EBI and DIAGRAM consortium, respectively. Summary-level data for 10 hearing disorders were obtained from over 500,000 participants in the FinnGen consortium and MRC-IEU. Sensitivity analysis revealed no significant heterogeneity of instrumental variables or pleiotropy was detected.

Results

In univariate MR analysis, genetically predicted T2DM from both sources was associated with an increased risk of acute suppurative otitis media (ASOM) (In NHGRI-EBI: OR = 1.07, 95% CI: 1.02-1.13, P = 0.012; In DIAGRAM: OR = 1.14, 95% CI: 1.02-1.26, P = 0.016). Multivariable MR analysis, adjusting for genetically predicted sleep duration, alcohol consumption, body mass index, and smoking, either individually or collectively, maintained these associations. Sensitivity analyses confirmed the robustness of the results.

Conclusion

T2DM was associated with an increased risk of ASOM. Strict glycemic control is essential for the minimization of the effects of T2DM on ASOM.

Is gestational diabetes mellitus in lean women a distinct entity warranting a modified management approach?

During pregnancy, insulin resistance and impaired insulin secretion may lead to the development of Gestational Diabetes Mellitus (GDM). Although a higher Body Mass Index (BMI) is often cited as a risk factor for the development of GDM, lean pregnant women are also at risk of developing GDM based on evidence from several studies. It is proposed that insulin deficiency (more than insulin resistance) leads to the development of GDM in women with low BMI (BMI <18.5 kg/m2). Neonates of these women are more at risk of preterm birth and small-for-gestational-age. Given this unique pathophysiology and phenotype, this entity needs a modified management approach. This article aims to raise awareness of GDM in lean women to encourage more research on this topic and create a modified management approach.

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.

Smoking and BMI mediate the causal effect of education on lower back pain: observational and Mendelian randomization analyses

Objective

Low back pain (LBP) has been associated with education in previous observational studies, but the causality remains unclear. This study aims to assess the impact of education on LBP and to explore mediation by multiple lifestyle factors.

Design

Univariable Mendelian randomization (MR) was performed to examine the overall effect of education on LBP. Subsequently, multivariable MR was conducted to assess both the direct effect of education on LBP and the influence of potential mediators. Indirect effects were estimated using either the coefficient product method or the difference method, and the proportion of mediation was calculated by dividing the indirect effect by the total effect. The observational study utilized data from the NHANES database collected between 1999 and 2004, and included 15,580 participants aged 20 years and above.

Results

Increasing education by 4.2 years leads to a 48% reduction in the risk of LBP (OR=0.52; 95% CI: 0.46 to 0.59). Compared to individuals with less than a high school education, those with education beyond high school have a 28% lower risk of LBP (OR=0.72; 95% CI: 0.63 to 0.83). In the MR study, smoking accounts for 12.8% (95% CI: 1.04% to 20.8%) of the total effect, while BMI accounts for 5.9% (95% CI: 2.99% to 8.55%). The combined mediation effect of smoking and BMI is 27.6% (95% CI: 23.99% to 32.7%). In the NHANES study, only smoking exhibits a mediating effect, accounting for 34.3% (95% CI: 21.07% to 41.65%) of the effect, while BMI does not demonstrate a mediating role.

Conclusions

Higher levels of education provide a protective effect against the risk of LBP. Additionally, implementing interventions to reduce smoking and promote weight loss among individuals with lower levels of education can also decrease this risk.

A nested case-control study of serum zinc and incident diabetes among Chinese adults: Effect modifications and mediation analysis

Although numerous evidences suggest that zinc may have a beneficial impact on preventing and treating diabetes, findings from the population studies are inconclusive. To address this gap, we conducted a nested case-control study, employing restricted cubic splines and a conditional logistic regression model to explore the association between serum zinc levels and the risk of diabetes. We also assessed potential effect modifications through stratified analyses and examined the mediating effects of metabolic indicators using a multiclass mediation effect model. We measured baseline serum zinc concentrations using Inductively Coupled Plasma Mass Spectrometry in a cohort of 2156 participants, including 1078 individuals with diabetes and 1078 matched controls. Our findings revealed a 51 % increased risk of diabetes when comparing the highest quartile (Q4) to the lowest quartile (Q1) of serum zinc levels (Odds Ratio [95 % Confidence Interval]: 1.51 [1.09, 2.09]). There was a positive linear dose-response relationship between serum zinc and diabetes risk (P overall ≤0.01, P nonlinear = 0.20). Effect modifications were evident between serum zinc and factors such as educational attainment, body mass index, alcohol index, family history of diabetes, history of hypertension, coronary heart disease, and stroke, all of which influenced the risk of diabetes (all P-interaction <0.05). Moreover, our study identified significant indirect effects of triglycerides levels on diabetes risk for participants in the third (Q3) and fourth (Q4) quartiles of serum zinc, with mediation proportions of 19.23 % and 19.28 %, respectively. A significant indirect effect of alanine aminotransferase on diabetes risk was found for those in the Q4 of serum zinc, with a mediation proportion of 12.05 %. Considering these findings, it is advisable to conduct testing for serum zinc level and exercise caution when considering zinc supplementation. Furthermore, our results emphasized the necessity for additional validation through large-sample prospective population studies and experimental research.

The association between type 2 diabetes mellitus/prediabetes status and femoral neck bone mineral density in old adults

BACKGROUND

The prevalence of both type 2 diabetes mellitus (T2DM) and osteoporosis has been increasing among older individuals, with these two health conditions often coexisting. Our aim in this study was to evaluate the association between T2DM status and bone mineral density (BMD) of the femoral neck among older adults in the United States.

METHODS

This was a retrospective analysis of the data from 5695 adults, 60-80 years of age. The data were obtained from the National Health and Nutrition Examination Survey, for the following years: 2005-2006, 2007-2008, 2009-2010, 2013-2014, and 2017-2018. Weighted multivariable regression analyses, with subgroup analyses as appropriate, were performed to identify an association between T2DM/prediabetes status and femoral BMD and mediating factors.

RESULTS

There was a significant positive association between T2DM/prediabetes status and femoral neck BMD among older women, but not men, after adjusting for body mass index (BMI). On subgroup analysis, stratified by BMI, the significant positive association was retained for T2DM women with a BMI of 25-29.9 kg/m2 (β, 0.030; 95% CI, 0.007-0.052) or ≥30 kg/m2 (β, 0.029; 95% CI, 0.007-0.05), and for prediabetes women with a BMI of 25-29.9 kg/m2 (β, 0.016; 95% CI, 0.001-0.030).

CONCLUSIONS

The association between a positive T2DM/prediabetes status and femoral neck BMD differed by sex among older individuals, with the association being further modulated by BMI. For women with a BMI of 25-29.9 kg/m2 or ≥30 kg/m2, T2DM was associated with a significantly higher femoral neck BMD, compared to the non-diabetes group.

An overview of environmental risk factors for type 2 diabetes research using network science tools

Objective

Current studies lack a comprehensive understanding of the environmental factors influencing type 2 diabetes, hindering an in-depth grasp of the overall etiology. To address this gap, we utilized network science tools to highlight research trends, knowledge structures, and intricate relationships among factors, offering a new perspective for a profound understanding of the etiology.

Methods

The Web of Science database was employed to retrieve documents relevant to environmental risk factors in type 2 diabetes from 2012 to 2024. Bibliometric analysis using Microsoft Excel and OriginPro provided a detailed scientific production profile, including articles, journals, countries, and authors. Co-occurrence analysis was employed to determine the collaboration state and knowledge structures, utilizing social network tools such as Gephi, Tableau, and R Studio. Additionally, theme evolutionary analysis was conducted using SciMAT to offer insights into research trends.

Results

The publications and themes related to environmental factors in type 2 diabetes have consistently risen, shaping a well-established research domain. Lifestyle environmental factors, particularly diet and nutrition, stand out as the most represented and rapidly growing topics. Key focal hotspots include sedentary and digital behavior, PM2.5, ethnicity and socioeconomic status, traffic and greenspace, and depression. The theme evolutionary analysis revealed three distinct paths: (1) oxidative stress-air pollutants-PM2.5-air pollutants; (2) calcium-metabolic syndrome-cardiovascular disease; and (3) polychlorinated biphenyls (PCBs)-persistent organic pollutants (POPs)-obesity.

Conclusions

Digital behavior signifies a novel approach for preventing and managing type 2 diabetes. The influence of PM2.5 and calcium on oxidative stress and abnormal vascular contraction is intricately linked to microvascular diabetes complications. The transition from PCBs and POPs to obesity underscores the disruption of endocrine function by chemicals, elevating the risk of diabetes. Future studies should explore the connections between environmental factors, microvascular complications, and long-term outcomes in diabetes.

The burden of type 2 diabetes in adolescents and young adults in Mexico: analysis from the Global Burden of Disease Study, 1990 to 2019

PURPOSE

The aim was to analyze the findings from the 2019 Global Burden of Disease (GBD-2019) study on type-2 diabetes in Mexico's adolescents and young adults, at a national and subnational scale from 1990 to 2019, and to assess its association with the socio-demographic, and the healthcare access and quality indices.

METHODS

Following the GBD-2019 study, young-onset type 2 diabetes mortality, premature mortality, years lived with disability and disability-adjusted life-years (DALYs) are reported.

RESULTS

A significant increase in the overall number of deaths attributed to young-onset T2D was found. There was a non-significant decrease in mortality rates for both sexes across most age groups. DALYs in men were greater than that in women, with almost half attributed to premature death in males, while disability accounted for two thirds of DALYs in females. The DALY rate increased significantly in most states. Premature mortality decreased, while disability increased across all age-groups, and in all states for both sexes.

CONCLUSION

The surge in disability corresponded to the upsurge in obesity and overweight rates in Mexico among the younger population. This happened despite improvements in socio-economic status and healthcare access in Mexico which underscores the need for diabetes education in the public health sector.

Uncovering the Burden of Diabetes in Ekiti State, Nigeria: Insights From a Statewide, Household-Based, Cross-Sectional Study

INTRODUCTION

Diabetes mellitus (DM) is an important global public health challenge, and the burden of the disease is huge, particularly in low- and middle-income countries (LMICs), where the majority of people with this condition reside. Undiagnosed DM is more prevalent in LMICs. The aim of this study is to determine the prevalence and associated factors for DM in Ekiti State.

MATERIALS AND METHODS

A cross-sectional, household-based survey using a four-stage multistage sampling design and the World Health Organization (WHO)-STEPS survey manual was conducted from July to September 2020 as a part of the Ekiti State coronavirus disease 2019 (COVID-19) survey. Of the 5,145 sampled households, 4,726 individuals gave consent to participate in the survey. Out of these, 3043 had fasting plasma glucose results available and were included in the analysis.

RESULTS

There were 2257 (74.2%) women and 786 (25.8%) men. The prevalence of DM was 6.5% (6.5% in males and 6.6% in females, P = 0.946). Diabetes was found to be more prevalent among those with a secondary school education or higher (10.9%); employed in the formal sector (13.4%); separated, divorced, or widowed (8.5%); with raised blood pressure (9.3%); and who were aged 30-59 years (all P < 0.05). Multivariable logistic regression showed that age, education, occupation, and hypertension were all positively and significantly associated with an increased risk of DM.

CONCLUSION

The prevalence of DM in Ekiti State is high, and its predictors include advancing age, hypertension, education, and occupation. This calls for scaling up public health interventions for controlling DM, targeting the identified risk factors among the people of Ekiti.

Temporal Patterns of Diabetes: Analyzing Disease Burden Among Adults Over 18 (2000-2021) Using the U.S. Diabetes Surveillance System (USDDS) Database

Background This study investigates the temporal patterns of diagnosed diabetes cases among adults aged 18 and above in the United States from 2000 to 2021, using data from the U.S. Diabetes Surveillance System (USDDS) database. The study analyzed variations in diagnosed diabetes cases based on gender, age, education, location, and race to provide insights into the changing disease burden over two decades. Methods A retrospective observational design was employed in analyzing data from the USDDS database. The study population comprised adults aged 18 and above with diagnosed diabetes. Descriptive statistical analysis and subgroup comparisons were performed to identify temporal trends and disparities in diagnosed diabetes cases among different demographic groups. Results The study uncovered significant temporal patterns in diagnosed diabetes cases among US adults. Males consistently reported higher diabetes cases (8.44%) than females (7.45%). Variations existed among age groups, with the 65-74 age group having the highest cases (19.69%) and the 18-44 age group having the lowest cases (2.34%). Disparities by race/ethnicity were evident, with non-Hispanic black individuals (11.80%) and Hispanics (11.07%) having the highest percentages, while Asians (7.84%) and whites (6.81%) had lower rates. Distinct temporal patterns emerged based on education levels, with the less than high school education group having the highest cases (11.77%), followed by those with a high school education (8.50%), and the lowest among those with higher than a high school education (6.60%). Conclusion The study has revealed a complex and evolving landscape of this chronic disease. Over these two decades, we observed significant fluctuations, with an overall upward trend in diagnosed diabetes cases. These findings underscore the need for a multifaceted approach to tackle diabetes effectively. Tailored interventions that consider age, gender, education, and geographic location are crucial to addressing the observed disparities in diabetes prevalence.

Socioeconomic inequalities in physical, psychological, and cognitive multimorbidity in middle-aged and older adults in 33 countries: a cross-sectional study

BACKGROUND

Many physical, psychological, and cognitive disorders are highly clustered among populations with low socioeconomic status. However, the extent to which socioeconomic status is associated with different combinations of these disorders is unclear, particularly outside high-income countries. We aimed to evaluate these associations in 33 countries including high-income countries, upper-middle-income countries, and one lower-middle-income country.

METHODS

This cross-sectional multi-region study pooled individual-level data from seven studies on ageing between 2017 and 2020. Education and total household wealth were used to measure socioeconomic status. Physical disorder was defined as having one or more of the self-reported chronic conditions. Psychological and cognitive disorders were measured by study-specific instruments. The outcome included eight categories: no disorders, physical disorder, psychological disorder, cognitive disorder, and their four combinations. Multivariable-adjusted logistic regression models were used to estimate odds ratios (ORs) and 95% CIs for the associations of socioeconomic status with these outcomes separately for high-income countries, upper-middle-income countries, and the lower-middle-income country.

FINDINGS

Among 167 376 individuals aged 45 years and older, the prevalence of multimorbidity was 24·5% in high-income countries, 33·9% in upper-middle-income countries, and 8·1% in the lower-middle-income country (India). Lower levels of education, household wealth, and a combined socioeconomic status score were strongly associated with physical, psychological, and cognitive multimorbidity in high-income countries and upper-middle-income countries, with ORs (low vs high socioeconomic status) for physical-psychological-cognitive multimorbidity of 12·36 (95% CI 10·29-14·85; p<0·0001) in high-income countries and of 23·84 (18·85-30·14; p<0·0001) in upper-middle-income countries. The associations in the lower-middle-income country were mixed. Participants with both a low level of education and low household wealth had the highest odds of multimorbidity (eg, OR for physical-psychological-cognitive multimorbidity 21·21 [15·95-28·19; p<0·0001] in high-income countries, 37·07 [25·66-53·56; p<0·0001] in upper-middle-income countries, and 54·96 [7·66-394·38; p<0·0001] in the lower-middle-income country).

INTERPRETATION

In study populations from high-income countries, upper-middle-income countries, and the lower-middle-income country, the odds of multimorbidity, which included physical, psychological, and cognitive disorders, were more than ten times greater in individuals with low socioeconomic status. Equity-oriented policies and programmes that reduce social inequalities in multimorbidity are urgently needed to achieve Sustainable Development Goals.

FUNDING

Zhejiang University, Fundamental Research Funds for the Central Universities, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Wellcome Trust, Medical Research Council, National Institute on Aging, and Academy of Finland.

TRANSLATION

For the Chinese translation of the abstract see Supplementary Materials section.

Diabetes risk and provision of diabetes prevention activities in 44 low-income and middle-income countries: a cross-sectional analysis of nationally representative, individual-level survey data

BACKGROUND

The global burden of diabetes is rising rapidly, yet there is little evidence on individual-level diabetes prevention activities undertaken by health systems in low-income and middle-income countries (LMICs). Here we describe the population at high risk of developing diabetes, estimate diabetes prevention activities, and explore sociodemographic variation in these activities across LMICs.

METHODS

We performed a pooled, cross-sectional analysis of individual-level data from nationally representative, population-based surveys conducted in 44 LMICs between October, 2009, and May, 2019. Our sample included all participants older than 25 years who did not have diabetes and were not pregnant. We defined the population at high risk of diabetes on the basis of either the presence of impaired fasting glucose (or prediabetes in countries with a haemoglobin A1c available) or overweight or obesity, consistent with the WHO Package of Essential Noncommunicable Disease Guidelines for type 2 diabetes management. We estimated the proportion of survey participants that were at high risk of developing diabetes based on this definition. We also estimated the proportion of the population at high risk that reported each of four fundamental diabetes prevention activities: physical activity counselling, weight loss counselling, dietary counselling, and blood glucose screening, overall and stratified by World Bank income group. Finally, we used multivariable Poisson regression models to evaluate associations between sociodemographic characteristics and these activities.

FINDINGS

The final pooled sample included 145 739 adults (86 269 [59·2%] of whom were female and 59 468 [40·4%] of whom were male) across 44 LMICs, of whom 59 308 (40·6% [95% CI 38·5-42·8]) were considered at high risk of diabetes (20·6% [19·8-21·5] in low-income countries, 38·0% [37·2-38·9] in lower-middle-income countries, and 57·5% [54·3-60·6] in upper-middle-income countries). Overall, the reach of diabetes prevention activities was low at 40·0% (38·6-41·4) for physical activity counselling, 37·1% (35·9-38·4) for weight loss counselling, 42·7% (41·6-43·7) for dietary counselling, and 37·1% (34·7-39·6) for blood glucose screening. Diabetes prevention varied widely by national-level wealth: 68·1% (64·6-71·4) of people at high risk of diabetes in low-income countries reported none of these activities, whereas 49·0% (47·4-50·7) at high risk in upper-middle-income countries reported at least three activities. Educational attainment was associated with diabetes prevention, with estimated increases in the predicted probability of receipt ranging between 6·5 (3·6-9·4) percentage points for dietary fruit and vegetable counselling and 21·3 (19·5-23·2) percentage points for blood glucose screening, among people with some secondary schooling compared with people with no formal education.

INTERPRETATION

A large proportion of individuals across LMICs are at high risk of diabetes but less than half reported receiving fundamental prevention activities overall, with the lowest receipt of these activities among people in low-income countries and with no formal education. These findings offer foundational evidence to inform future global targets for diabetes prevention and to strengthen policies and programmes to prevent continued increases in diabetes worldwide.

FUNDING

Harvard T H Chan School of Public Health McLennan Fund: Dean's Challenge Grant Program and the EU's Research and Innovation programme Horizon 2020.

Financial burden of seeking diabetes mellitus care in India: Evidence from a Nationally Representative Sample Survey

Background

Diabetes mellitus (DM) is a major public health concern in India, and entails a severe burden in terms of disability, death, and economic cost. This study examined the out-of-pocket health expenditure (OOPE) and financial burden associated with DM care in India.

Methods

The study used data from the latest round of the National Sample Survey on health, which covered 555,115 individuals from 113,823 households in India. In the present study, data of 1216 individuals who sought inpatient treatment and 6527 individuals who sought outpatient care for DM were analysed.

Results

In India, 10.04 per 1000 persons reported having DM during the last 15 days before the survey date, varying from 6.94/1000 in rural areas to 17.45/1000 in urban areas. Nearly 38% of Indian households with diabetic members experienced catastrophic health expenditure (at the 10% threshold) and approximately 10% of DM-affected households were pushed below the poverty line because of OOPE, irrespective of the type of care sought. 48.5% of households used distressed sources to finance the inpatient costs of DM. Medicines constituted one of the largest proportion of total health expenditure, regardless of the type of care sought or type of healthcare facility visited. The average monthly OOPE was over 4.5-fold and 2.5-fold higher for households who sought inpatient and outpatient care, respectively, from private health facilities, compared with those treated at public facilities. Notably, the financial burden was more severe for households residing in rural areas, those in lower economic quintiles, those belonging to marginalised social groups, and those using private health facilities.

Conclusion

The burden of DM and its associated financial ramifications necessitate policy measures, such as prioritising health promotion and disease prevention strategies, strengthening public healthcare facilities, improved regulation of private healthcare providers, and bringing outpatient services under the purview of health insurance, to manage the diabetes epidemic and mitigate its financial impact.

Prevalence of type 2 diabetes and pre-diabetes in Sri Lanka: a systematic review and meta-analysis

OBJECTIVE

The purpose of this research was to determine the prevalence of diabetes and pre-diabetes in Sri Lanka.

DESIGN

Systematic review and meta-analysis.

DATA SOURCES

MEDLINE (via PubMed), Web of Science, Sri Lankan Journals online and Google Scholar were searched for relevant articles published between January 1990 and June 2022 investigating the prevalence of pre-diabetes and diabetes in Sri Lanka.

METHODS

Random effect meta-analyses were conducted to derive the pooled prevalence of pre-diabetes and diabetes and their 95% CIs. Heterogeneity was explored by subgroup and meta-regression analyses. Sensitivity analyses were used to evaluate the impact of any single study on the pooled estimates. Two authors screened articles, extracted data and evaluated the quality of selected studies.

RESULTS

A total of 479 articles were reviewed, and 15 studies (n=30 137 participants) were selected in the final analysis. The overall pooled prevalence of diabetes was 12.07% (95% CI, 8.71% to 15.89%; prediction interval: 1.28-31.35). The pooled pre-diabetes prevalence was 15.57% (95% CI, 9.45% to 22.88%; prediction interval: 0.02-49.87). The pooled type 2 diabetes prevalence was the highest in the latest period of 2011-2021 (17.25%) than in the period of 2000s (11.84%) and 1990s (5.62%).

CONCLUSIONS

The growing trend of diabetes and pre-diabetes over the last 30 years is alarming in Sri Lanka. The government of Sri Lanka needs to take steps to improve diabetes education, screening, diagnosis and treatment.

PROSPERO REGISTRATION NUMBER

CRD42021288591.

Kombucha tea as an anti-hyperglycemic agent in humans with diabetes - a randomized controlled pilot investigation

Introduction

Kombucha is a popular fermented tea that has attracted considerable attention due, in part, to its suggested health benefits. Previous results from animal models led us to hypothesize kombucha may reduce blood sugar levels in humans with diabetes. The objective of this pilot clinical study was to evaluate kombucha for its anti-hyperglycemic activities in adults with diabetes mellitus type II.

Methods

The study was organized as a prospective randomized double-blinded crossover study at a single-center urban hospital system. Participants (n = 12) were instructed to consume either a kombucha product or a placebo control (each 240 mL) for 4 weeks. After an 8-week washout period, participants consumed the alternate product. Fasting blood glucose levels were self-determined at baseline and at 1 and 4 weeks during each treatment period. Secondary health outcomes, including overall health, insulin requirement, gut health, skin health, mental health, and vulvovaginal health were measured by questionnaire at the same time points. The kombucha microbiota was assessed by selective culturing and 16S rRNA gene (bacteria) and ITS (fungi) sequencing. Fermentation end products were assessed by HPLC. Statistical significance of changes in fasting blood glucose was determined using paired, two-tailed student's t-tests.

Results

Kombucha lowered average fasting blood glucose levels at 4 weeks compared to baseline (164 vs. 116 mg/dL, p = 0.035), whereas the placebo did not (162 vs. 141 mg/dL, p = 0.078). The kombucha microbiota, as assessed by cultural enumeration, was mainly comprised of lactic acid bacteria, acetic acid bacteria, and yeast, with each group present at about 106 colony forming units (CFU)/mL. Likewise, 16S rRNA gene sequencing confirmed that lactic acid and acetic acid bacteria were the most abundant bacteria, and ITS sequencing showed Dekkera was the most abundant yeast. The primary fermentation end products were lactic and acetic acids, both less than 1%. Ethanol was present at 1.5%.

Discussion

Although this pilot study was limited by a small sample size, kombucha was associated with reduced blood glucose levels in humans with diabetes. Larger follow-up studies are warranted.

Clinical trial registration

ClinicalTrials.gov, identifier NCT04107207.

The design and development of a study protocol to investigate Onchocerca volvulus, Loa loa and Mansonella perstans-mediated modulation of the metabolic and immunological profile in lean and obese individuals in Cameroon

BACKGROUND

Life-style metabolic diseases are steadily rising, not only in developed countries, but also in low- and middle-income countries, presenting a global health problem. Metabolic disorders like type 2 diabetes and cardiovascular diseases are among the ten leading causes of death defined by the WHO in 2019. Results from animal and observational human studies suggest a connection between the decline in human helminth infections and rise of life-style-associated metabolic diseases in developing regions. This trial was designed to investigate filarial infections and their impact on metabolic diseases in Cameroon. We hypothesize that the induction of regulatory immune responses during filarial infection reduces obesity-induced low-grade inflammatory immune responses and thereby improves metabolic parameters, whereas anthelmintic treatment abolishes this protective effect.

METHODS/DESIGN

Participants infected with Mansonella perstans, Onchocerca volvulus and/or Loa loa being lean (BMI <25), overweight (BMI >25 and <30) or clinically obese (BMI ≥30) from Littoral regions of Cameroon will be evaluated for their parasitological, immunological, metabolic and biochemical profile before and after treatment of their parasitic infections. Anthropomorphic measurements and a detailed questionnaire will complement our analysis. The investigation will assess blood immune cell populations, serum adipokines and cytokines that could be influenced by the parasite infection and/or metabolic diseases. Further, parameters like blood glucose, homeostatic model assessment of insulin resistance (HOMA-IR), circulating lipids and circulating makers of liver function will be monitored. Parameters will be assessed before treatment, 12 and 18 months after treatment.

CONCLUSION

The focus of this study is to obtain a comprehensive metabolic profile of the participants in rural areas of Cameroon and to investigate the relationship between filarial immunomodulation and metabolic diseases. This study will elucidate the effect of anti-filarial treatment on the metabolic and immunological parameters that partake in the development of insulin resistance, narrowing in on a potential protective effect of filarial infections on metabolic diseases.

TRIAL REGISTRATION

doi.org/10.1186/ISRCTN43845142, ISRCTN43845142 February 2020 Trial title Effects of filarial parasite infection on type 2 diabetes Issue date: 27.10.22, V.1.

The use of nomogram for detecting mild cognitive impairment in patients with type 2 diabetes mellitus

BACKGROUND

Type 2 diabetes mellitus (T2DM) is highly prevalent worldwide and may lead to a higher rate of cognitive dysfunction. This study aimed to develop and validate a nomogram-based model to detect mild cognitive impairment (MCI) in T2DM patients.

METHODS

Inpatients with T2DM in the endocrinology department of Xiangya Hospital were consecutively enrolled between March and December 2021. Well-qualified investigators conducted face-to-face interviews with participants to retrospectively collect sociodemographic characteristics, lifestyle factors, T2DM-related information, and history of depression and anxiety. Cognitive function was assessed using the Mini-Mental State Examination scale. A nomogram was developed to detect MCI based on the results of the multivariable logistic regression analysis. Calibration, discrimination, and clinical utility of the nomogram were subsequently evaluated by calibration plot, receiver operating characteristic curve, and decision curve analysis, respectively.

RESULTS

A total of 496 patients were included in this study. The prevalence of MCI in T2DM patients was 34.1% (95% confidence interval [CI]: 29.9%-38.3%). Age, marital status, household income, diabetes duration, diabetic retinopathy, anxiety, and depression were independently associated with MCI. Nomogram based on these factors had an area under the curve of 0.849 (95% CI: 0.815-0.883), and the threshold probability ranged from 35.0% to 85.0%.

CONCLUSIONS

Almost one in three T2DM patients suffered from MCI. The nomogram, based on age, marital status, household income, duration of diabetes, diabetic retinopathy, anxiety, and depression, achieved an optimal diagnosis of MCI. Therefore, it could provide a clinical basis for detecting MCI in T2DM patients.

Does the quality of street greenspace matter? Examining the associations between multiple greenspace exposures and chronic health conditions of urban residents in a rapidly urbanising Chinese city

BACKGROUND

Numerous studies have demonstrated that greenspace(GS) exposure is associated with health improvements in individuals with hypertension and diabetes. However, studies examining the associations between multiple GS exposures and chronic health conditions in developing countries are limited.

METHODS

Geospatial data and spatial analysis were employed to objectively measure the total neighbourhood vegetative cover (mean value of normalised difference vegetation index [NDVI] within specific buffer zone) and proximity to park-based GS (network distance from home to the entrance of park-based GS). Street view imagery and machine learning techniques were used to measure the subjective perceptions of street GS quality. A multiple linear regression model was applied to examine the associations between multiple GS exposures and the prevalence of hypertension and diabetes in neighbourhoods located in Qingdao, China.

RESULTS

The model explained 29.8% and 28.2% of the prevalence of hypertension and diabetes, respectively. The results suggested that: 1) the total vegetative cover of the neighbourhood was inversely correlated with the prevalence of hypertension (β = -0.272, p = 0.013, 95% confidence interval (CI): [-1.332, -0.162]) and diabetes (β = -0.230, p = 0.037, 95% CI: [-0.720, -0.008]). 2) The street GS quality was negatively correlated with the prevalence of hypertension (β = -0.303, p = 0.007, 95% CI: [-2.981, -0.491]) and diabetes (β = -0.309, p = 0.006, 95% CI: [-1.839, -0.314]). 3) Proximity to park-based GS and the prevalence of hypertension and diabetes mellitus were not significantly correlated.

CONCLUSIONS

This study used subjective and objective methods to comprehensively assess the greenspace exposure from overhead to eye level, from quantity, proximity to quality. The results demonstrated the beneficial relationships between street GS quality, total vegetative cover, and chronic health in a rapidly urbanising Chinese city. Furthermore. the effect of street GS quality was more pronounced in potentially mitigating chronic health problems, and improving the quality of street GS might be an efficient and effective intervention pathway for addressing chronic health issues in densely populated cities.

The state of diabetes care and obstacles to better care in Aceh, Indonesia: a mixed-methods study

BACKGROUND

Cardio-metabolic diseases are a major cause of death worldwide, including in Indonesia, where diabetes is one of the most critical diseases for the health system to manage.

METHODS

We describe the characteristics, levels of control, health behavior, and diabetes-related complications of diabetes patients in Aceh, Indonesia. We use baseline data and blood testing from a randomized-controlled trial. We conducted semi-structured interviews with eight health providers from Posbindu and Prolanis programs that target diabetes and other non-communicable diseases (NCDs). We also conducted three focus group discussions with 24 diabetes patients about their experiences of living with diabetes and the existing support programs.

RESULTS

The blood tests revealed average HbA1c levels indicative of poor glycemic control in 75.8 percent of patients and only 20.3 percent were free from any symptoms. Our qualitative findings suggest that patients are diagnosed after diabetes-related symptoms manifest, and that they find it hard to comply with treatment recommendations and lifestyle advice. The existing programs related to NCDs are not tailored to their needs.

CONCLUSION

We identify the need to improve diabetes screening to enable earlier treatment and achieve better control of the disease. Among diagnosed patients, there are widespread beliefs about diabetes medication and alternative forms of treatment that need to be addressed in a respectful dialogue between healthcare professionals and patients. Current diabetes screening, treatment and management programs should be revised to meet the needs of the affected population and to better respond to the increasing burden of this disease.