Diabetes in Asia

Multifunctional nanomaterials for smart wearable diabetic healthcare devices

Wearable diabetic healthcare devices have attracted great attention for real-time continuous glucose monitoring (CGM) using biofluids such as tears, sweat, saliva, and interstitial fluid via noninvasive ways. In response to the escalating global demand for CGM, these devices enable proactive management and intervention of diabetic patients with incorporated drug delivery systems (DDSs). In this context, multifunctional nanomaterials can trigger the development of innovative sensing and management platforms to facilitate real-time selective glucose monitoring with remarkable sensitivity, on-demand drug delivery, and wireless power and data transmission. The seamless integration into wearable devices ensures patient's compliance. This comprehensive review evaluates the multifaceted roles of these materials in wearable diabetic healthcare devices, comparing their glucose sensing capabilities with conventionally available glucometers and CGM devices, and finally outlines the merits, limitations, and prospects of these devices. This review would serve as a valuable resource, elucidating the intricate functions of nanomaterials for the successful development of advanced wearable devices in diabetes management.

Natural hypoglycaemic bioactives: Newer avenues and newer possibilities

The incidences of endocrine and metabolic disorders like diabetes have increased worldwide. Several proposed molecular pathways mechanisms for the management of diabetes have been identified, but glycaemic control is still a challenging task in the drug discovery process. Most of the drug discovery processes lead to numerous scaffolds that are prominent in natural products. The review deals with the natural bioactives as an α-amylase inhibitors, α-glucosidase inhibitors, protein tyrosine phosphatase-1B inhibitors, dipeptidyl peptidase-IV inhibitors, G-protein coupled receptors-40 agonists, PPAR-γ agonists and the activators of 5'-adenosine monophosphate-activated protein kinase and glucokinase. So, in this review, we focused on the hypoglycaemic bioactives, which will assist scientific developers, traditional medicinal practitioners, and readers to discover some potent antidiabetic molecules. Strategies like chemometric approaches, scaffold hopping, and total synthesis of natural products by group modification or ring opening/closing mechanism could be useful for the development of novel hit/lead antidiabetic molecules. The study concludes that each phyto molecule inherits a potential to get explored by repurposing techniques for various antidiabetic targets and offer an alternative antidiabetic therapeutic medicinal potential.

Breakthroughs in road mapping IL-35 mediated immunotherapy for type-1 and autoimmune diabetes mellitus

IL-35 is a recently discovered protein made up of IL-12α and IL-27β chains. It is encoded by IL12A and EBI3 genes. Interest in researching IL-35 has significantly increased in recent years, as evidenced by numerous scientific publications. Diabetes is on the rise globally, causing more illness and death in developing countries. The International Diabetes Federation (IDF) reports that diabetes is increasingly affecting children and teenagers, with varying rates across different regions. Therefore, scientists seek new diabetes treatments despite the growth of drug research. Recent research aims to emphasize IL-35 as a critical regulator of diabetes, especially type 1 and autoimmune diabetes. This review provides an overview of recent research on IL-35 and its link to diabetes and its associated complications. Studies suggest that IL-35 can offer protection against type-1 diabetes and autoimmune diabetes by regulating macrophage polarization, T-cell-related cytokines, and regulatory B cells (Bregs). This review will hopefully assist biomedical scientists in exploring the potential role of IL-35-mediated immunotherapy in treating diabetes. However, further research is necessary to determine the exact mechanism and plan clinical trials.

Prevalence of tight glycemic control based on frailty status and associated factors in community-dwelling older adults

BACKGROUND

Tight control of type 2 diabetes (T2DM) in frail older adults has shown to be associated with adverse outcomes. The objective of this study is to determine the prevalence of tight glycemic control based on underlying frailty status and its association with functional and cognitive measures in community-dwelling older adults.

METHODOLOGY

Ancillary study of the Singapore Population Health Studies on older adults aged ≥65 years with T2DM. Tight glycemic control cut-offs were based on the 2019 Endocrine Society guideline using HbA1c target range based on a patient's overall health status measured by the FRAIL scale. Data on basic demographics, frailty, cognitive, and functional statuses were collected. Multivariable regression was used to assess potential factors associated with tight glycemic control.

RESULTS

Of 172 community-dwelling older adults with diabetes mellitus and HbA1c done, frail (65%) and pre-frail (64.4%) participants were more likely to have tight glycemic control than robust participants (31.6%, P < 0.001). In multi-variate analysis, frailty (OR 6.43, 95% CI 1.08-38.1, P = 0.041), better cognition (OR 1.15, 95% CI 1.02-1.32, P = 0.028), and multi-morbidity (OR 7.36, 95% CI 1.07-50.4, P = 0.042) were found to be significantly associated with increased odds of tight glycemic control.

CONCLUSION

Tight glycemic control was highly prevalent in frail and pre-frail older adults, especially in those with multi-morbidity and better cognition. Future prospective longitudinal studies are required to evaluate effectiveness of frailty screening in making treatment decisions and long-term outcomes. Key messages What is already known on this topic:  There is growing recognition that glycemic targets should be adjusted based on health or frailty status. However, there is no consensus on how health status or frailty should be defined when determining glycemic control targets. What this study adds:  Our study found that tight glycemic control was highly prevalent in frail and pre-frail older adults. Our findings highlight the importance of assessing for tight glycemic control based on frailty status and further work is needed to aid implementation of screening and intervention policies to avoid the attendant harms of tight glycemic control.

Pioneering Data Processing for Convolutional Neural Networks to Enhance the Diagnostic Accuracy of Traditional Chinese Medicine Pulse Diagnosis for Diabetes

Traditional Chinese medicine (TCM) has relied on pulse diagnosis as a cornerstone of healthcare assessment for thousands of years. Despite its long history and widespread use, TCM pulse diagnosis has faced challenges in terms of diagnostic accuracy and consistency due to its dependence on subjective interpretation and theoretical analysis. This study introduces an approach to enhance the accuracy of TCM pulse diagnosis for diabetes by leveraging the power of deep learning algorithms, specifically LeNet and ResNet models, for pulse waveform analysis. LeNet and ResNet models were applied to analyze TCM pulse waveforms using a diverse dataset comprising both healthy individuals and patients with diabetes. The integration of these advanced algorithms with modern TCM pulse measurement instruments shows great promise in reducing practitioner-dependent variability and improving the reliability of diagnoses. This research bridges the gap between ancient wisdom and cutting-edge technology in healthcare. LeNet-F, incorporating special feature extraction of a pulse based on TMC, showed improved training and test accuracies (73% and 67%, respectively, compared with LeNet's 70% and 65%). Moreover, ResNet models consistently outperformed LeNet, with ResNet18-F achieving the highest accuracy (82%) in training and 74% in testing. The advanced preprocessing techniques and additional features contribute significantly to ResNet18-F's superior performance, indicating the importance of feature engineering strategies. Furthermore, the study identifies potential avenues for future research, including optimizing preprocessing techniques to handle pulse waveform variations and noise levels, integrating additional time-frequency domain features, developing domain-specific feature selection algorithms, and expanding the scope to other diseases. These advancements aim to refine traditional Chinese medicine pulse diagnosis, enhancing its accuracy and reliability while integrating it into modern technology for more effective healthcare approaches.

Structural modification of tanshinone IIA and their α-glucosidase inhibitory activity

α-Glucosidase is one of the therapeutic approaches for treating type 2 diabetes mellitus. Almost 95 % of diabetes patients worldwide have been diagnosed with type 2 diabetes, resulting in 1.5 million fatalities each year. Newly synthesized oxazole-based tanshinone IIA derivatives (1a-n) were designed and evaluated for their inhibitory activity against α-glucosidase enzyme. Eight compounds (1a-d, 1f-g, 1j, and 1m) demonstrated excellent inhibition with IC50 values ranging from 0.73 ± 0.11 to 9.46 ± 0.57 μM as compared to tanshinone IIA (IC50 = 11.39 ± 0.77 μM) and standard acarbose (IC50 = 100.00 ± 0.95 μM). Among this series, 1j bearing two hydroxyls group over the phenyl ring was identified as the most potent α-glucosidase inhibitor with IC50 value of 0.73 ± 0.11 μM. Molecular docking simulations were done for the most active compound to identify important binding modes responsible for inhibition activity of α-glucosidase. In addition, the kinetic study was also performed to understand the mode of inhibition.

Plant-Based Meat Analogs and Their Effects on Cardiometabolic Health: An 8-Week Randomized Controlled Trial Comparing Plant-Based Meat Analogs With Their Corresponding Animal-Based Foods

BACKGROUND

With the growing popularity of plant-based meat analogs (PBMAs), an investigation of their effects on health is warranted in an Asian population.

OBJECTIVES

This research investigated the impact of consuming an omnivorous animal-based meat diet (ABMD) compared with a PBMAs diet (PBMD) on cardiometabolic health among adults with elevated risk of diabetes in Singapore.

METHODS

In an 8-wk parallel design randomized controlled trial, participants (n = 89) were instructed to substitute habitual protein-rich foods with fixed quantities of either PBMAs (n = 44) or their corresponding animal-based meats (n = 45; 2.5 servings/d), maintaining intake of other dietary components. Low-density lipoprotein (LDL) cholesterol served as primary outcome, whereas secondary outcomes included other cardiometabolic disease-related risk factors (e.g. glucose and fructosamine), dietary data, and within a subpopulation, ambulatory blood pressure measurements (n = 40) at baseline and postintervention, as well as a 14-d continuous glucose monitor (glucose homeostasis-related outcomes; n = 37).

RESULTS

Data from 82 participants (ABMD: 42 and PBMD: 40) were examined. Using linear mixed-effects model, there were significant interaction (time × treatment) effects for dietary trans-fat (increased in ABMD), dietary fiber, sodium, and potassium (all increased in PBMD; P-interaction <0.001). There were no significant effects on the lipid-lipoprotein profile, including LDL cholesterol. Diastolic blood pressure (DBP) was lower in the PBMD group (P-interaction=0.041), although the nocturnal DBP dip markedly increased in ABMD (+3.2% mean) and was reduced in PBMD (-2.6%; P-interaction=0.017). Fructosamine (P time=0.035) and homeostatic model assessment for β-cell function were improved at week 8 (P time=0.006) in both groups. Glycemic homeostasis was better regulated in the ABMD than PBMD groups as evidenced by interstitial glucose time in range (ABMD median: 94.1% (Q1:87.2%, Q3:96.7%); PBMD: 86.5% (81.7%, 89.4%); P = 0.041). The intervention had no significant effect on the other outcomes examined.

CONCLUSIONS

An 8-wk PBMA diet did not show widespread cardiometabolic health benefits compared with a corresponding meat based diet. Nutritional quality is a key factor to be considered for next generation PBMAs. This trial was registered at https://clinicaltrials.gov/as NCT05446753.

Challenges to therapeutic footwear usage for foot ulcer prevention among type 2 diabetes patients: A qualitative study

OBJECTIVE

Many contemporary designs solely prioritize the therapeutic function of footwear, neglecting other crucial social and environmental considerations. The study aimed to explore challenges to therapeutic footwear usage for foot ulcer prevention.

METHODS

A qualitative critical ethnography design was used in this study. Fourteen participants were recruited at the local hospital in Baise City, China. Data were collected through in-depth interview. A thematic analysis approach was conducted for data analyzing.

RESULTS

This study identified two themes: (1) workplace and physical condition, (2) diverse cultural practice. It was worth noting that slipper as a convenient and cheap wearing choice, decreased the usage of therapeutic footwear. The emerging activity of modern square dancing resulted in more requirements for its design. And the symbolic meaning of hard working in barefoot was also challengeable to therapeutic footwear utilization to some extent.

CONCLUSIONS

Therapeutic footwear intervention design should not only focus on the therapeutic functionality, but also consider about individuals' demands towards working environment and physical status, and particular insights regarding culture and social background. We expected these findings could be evidence for improving therapeutic footwear usage in the future.

Identification of potential serum biomarkers associated with HbA1c levels in Indian type 2 diabetic subjects using NMR-based metabolomics

BACKGROUND

The prevalence of type 2 diabetes mellitus (T2DM), a progressive metabolic disorder characterized by chronic hyperglycemia and the development of insulin resistance, has increased globally, with worrying statistics coming from children, adolescents, and young adults from developing countries like India. Here, we investigated unique circulating metabolic signatures associated with prediabetes and T2DM in an Indian cohort using NMR-based metabolomics.

MATERIALS AND METHODS

The study subjects included healthy volunteers (N = 101), prediabetic subjects (N = 75), and T2DM patients (N = 108). Serum metabolic profiling was performed using 1H NMR spectroscopy and major perturbed metabolites were identified by multivariate analysis and receiver operating characteristic (ROC) modules.

RESULTS

Of the 36 aqueous abundant metabolites, 24 showed a statistically significant difference between healthy volunteers, prediabetics, and established T2DM subjects. On performing multivariate ROC curve analysis with 5 commonly dysregulated metabolites (namely, glucose, pyroglutamate, o-phosphocholine, serine, and methionine) in prediabetes and T2DM, AUC values obtained were 0.96 (95 % confidence interval (CI) = 0.93, 0.98) for T2DM; and 0.88 (95 % CI = 0.81, 0.93) for prediabetic subjects, respectively.

CONCLUSION

We propose that the identified metabolite panel can be used in the future as a biomarker for clinical diagnosis, patient surveillance, and for predicting individuals at risk for developing diabetes.

The 30 Years of Shifting in The Indonesian Cardiovascular Burden-Analysis of The Global Burden of Disease Study

IMPORTANCE

Cardiovascular disease (CVD) remains the leading cause of mortality and morbidity. Compared with disease burden rates in 1990, significant reductions in Disability-Adjusted Life Years (DALYs) burden rates for CVD have been recorded. However, general DALYs rates have not changed in Indonesia in the past 30 years. Thus, assessing Indonesian CVD burdens will be an essential first step in determining primary disease interventions.

OBJECTIVE

To determine the national and province-level burden of CVD from 1990 to 2019 in Indonesia.

DESIGN, SETTING, AND PARTICIPANTS

A retrospective observational study was conducted using data from the Global Burden of Disease (GBD) 2019, provided by the Institute of Health Metrics and Evaluation (IHME), to analyze trends in the burden of CVD, including mortality, morbidity, and prevalence characteristics of 12 underlying CVDs.

EXPOSURES

Residence in Indonesia.

MAIN OUTCOMES AND MEASURES

Mortality, incidence, prevalence, death, and DALYs of CVD.

RESULTS

CVD deaths have doubled from 278 million in 1990 to 651 million in 2019. All CVDs recorded increased death rates, except for rheumatic heart disease (RHD) (- 69%) and congenital heart disease (CHD) (- 37%). Based on underlying diseases, stroke and ischemic heart disease (IHD) are still the leading causes of mortality and morbidity in Indonesia, whereas stroke and peripheral artery disease (PAD) are the most prevalent CVDs. Indonesia has the second worst CVD DALYs rates compared to ASEAN countries after Laos. At provincial levels, the highest CVD DALY rates were recorded in Bangka Belitung, South Kalimantan, and Yogyakarta. In terms of DALYs rate changes, they were recorded in West Nusa Tenggara (24%), South Kalimantan (18%), and Central Java (11%). Regarding sex, only RHD, and PAD burdens were dominated by females.

CONCLUSIONS

CVD mortality, morbidity, and prevalence rates increased in Indonesia from 1990 to 2019, especially for stroke and ischemic heart disease. The burden is exceptionally high, even when compared to other Southeast Asian countries and the global downward trend. GBD has many limitations. However, these data could provide policymakers with a broad view of CVD conditions in Indonesia.

A Vulnerability Index for Mitigation and Prevention of Diabetes Growth in India: A Disaggregated Analysis

OBJECTIVES

This study aimed to provide a vulnerability index (VI) for identifying vulnerable regions in different states of India, which may serve as a tool for state- and district-level planning for mitigation and prevention of diabetes growth in the country.

METHODS

Using data on 13 indicators under 4 domains, we generated domain-specific and overall VIs at state (36 states/union territories) and district levels (640 districts) using the percentile ranking method. The association of diabetes with individuals' socioeconomic status at different levels of regional vulnerability has also been observed through multivariable logistic regression models.

RESULTS

On a scale of 0 to 1, there are 13 states with an overall VI of >0.70, of which 5 states are from southern regions of India. A low VI has been achieved by socioeconomically backward states. We observed that prevalence rates and vulnerability levels for most of the top and bottom 11 states are in the same line. District-level analysis showed that the 20 most vulnerable and least vulnerable districts are mostly from coastal and socioeconomically backward states of the country, respectively. Furthermore, logistic regression revealed that rural adults and females are less likely to be diabetic in all vulnerability quartiles. The oldest, Muslims, wealthiest, widowed/deserted/separated, and those with schooling ≤12 years are significantly more likely to be diabetic than their counterparts.

CONCLUSION

The constructed VI is vital for identifying vulnerable areas and planners and policy-makers may use this comprehensive index and domain-specific VIs to prioritize resource allocation.

Adverse Events and Clinical Correlates in Asian Patients with Atrial Fibrillation and Diabetes Mellitus: A Report from Asia Pacific Heart Rhythm Society Atrial Fibrillation Registry

Aims. To evaluate the adverse events (and its clinical correlates) in a large prospective cohort of Asian patients with atrial fibrillation (AF) and diabetes mellitus (DM). Material and Methods. We recruited patients with atrial fibrillation (AF) from the Asia-Pacific Heart Rhythm Society (APHRS) AF Registry and included those for whom the diabetic mellitus (DM) status was known. We used Cox-regression analysis to assess the 1-year risk of all-cause death, thromboembolic events, acute coronary syndrome, heart failure and major bleeding. Results. Of 4058 patients (mean age 68.5 ± 11.8 years; 34.4% females) considered for this analysis, 999 (24.6%) had DM (age 71 ± 11 years, 36.4% females). Patients with DM had higher mean CHA2DS2-VASc (2.3 ± 1.6 vs. 4.0 ± 1.5, p < 0.001) and HAS-BLED (1.3 ± 1.0 vs. 1.7 ± 1.1, p < 0.001) risk scores and were less treated with rhythm control strategies compared to patients without DM (18.7% vs. 22.0%). After 1-year of follow-up, patients with DM had higher incidence of all-cause death (4.9% vs. 2.3%, p < 0.001), cardiovascular death (1.3% vs. 0.4%, p = 0.003), and major bleeding (1.8% vs. 0.9%, p = 0.002) compared to those without DM. On Cox regression analysis, adjusted for age, sex, heart failure, coronary and peripheral artery diseases and previous thromboembolic event, DM was independently associated with a higher risk of all-cause death (HR 1.48, 95% CI 1.00-2.19), cardiovascular death (HR 2.33, 95% CI 1.01-5.40), and major bleeding (HR 1.91, 95% 1.01-3.60). On interaction analysis, the impact of DM in determining the risk of all-cause death was greater in young than in older patients (p int = 0.010). Conclusions. Given the high rates of adverse outcomes in these Asian AF patients with DM, efforts to optimize the management approach of these high-risk patients in a holistic or integrated care approach are needed.

Evaluation of a digital FFQ using 24 h recalls as reference method, for assessment of habitual diet in women with South Asian origin in Norway

OBJECTIVE

Dietary assessment tools should be designed for the target population. We developed an FFQ designed to assess diet in South Asian women in Norway. The study objective was to evaluate this FFQ using 24-h dietary recalls as reference method.

DESIGN

Approximately 3 weeks after the participants (n 40) had filled in the FFQ, the first of three non-consecutive 24-h dietary recalls was completed. The recalls were telephone-based, unannounced and performed by a trained dietitian, with 2-3 weeks between each interview.

SETTING

The DIASA 1 study, in Oslo, Norway.

PARTICIPANTS

Women of South Asian ethnic origin participating in the DIASA 1 study were invited to participate in the evaluation study.

RESULTS

The WebFFQasia significantly overestimated the absolute intake of energy, protein, fat and carbohydrates compared with the 24-h dietary recalls. Absolute intakes of sugar, starch and fibre did not differ significantly between the methods. For energy percentages (E%), there were no significant differences, except for monounsaturated fat. Correlations were strong for E% from sugar and saturated fat and moderate for E% from fibre, carbohydrate, total fat and protein. Fourteen food groups out of twenty three were not significantly different compared with the reference method, and sixteen groups showed strong to moderate correlations.

CONCLUSION

The WebFFQasia may be used to assess E% from habitual diet and can adequately estimate intakes and rank participants according to nutrient intake and main food categories at group level.

Advancing diabetes primary care education and knowledge in Nepal: A scoping review and case study discussion

AIMS

Diabetes mellitus (DM) is a chronic disorder of insulin and glucose metabolism. It affects more than 463 million people worldwide and is expected to reach 700 million by 2045. In the Southeast Asian region, the prevalence of DM has tripled to 115 million due to rapid urbanization, unhealthy diet, sedentary lifestyles, and genetic factors. In Nepal, a developing country, DM affects 8.5% of adults, with an alarming increase in recent years. Lack of diabetes education and limited populational adoption of behavioural changes further hamper care.

METHODS

In the present study, we performed a scoping review to determine the status of awareness, attitudes, and knowledge about diabetes in the Nepalese population with a focus on the educational initiatives that have been implemented. We also conducted a two-week international case study discussion among medical students to brainstorm viable intervention strategies.

RESULTS

Our findings indicate that limited data is available on the level of education or initiatives to improve knowledge and practice among healthcare professionals and community members. Targeted studies of people with diabetes also present heterogeneous results due to differences in the sample population, geographic location, education, age, and gender. Accordingly, we propose five interrelated education-based strategies that leverage existing networks to expand community outreach and engagement, improve system resilience, and improve health outcomes.

CONCLUSIONS

Effective education for healthcare professionals, community, and patients with diabetes is vital in improving diabetes outcomes in Nepal and South Asia. Collaboration, funding, and evaluation are key areas needing reform.

High-sensitivity flip chip blue Mini-LEDs miniaturized optical instrument for non-invasive glucose detection

The colorimetric detection of glucose typically involves a peroxidase reaction producing a color, which is then recorded and analyzed. However, enzyme detection has difficulties with purification and storage. In addition, replacing enzyme detection with chemical methods involves time-consuming steps such as centrifugation and purification and the optical instruments used for colorimetric detection are often bulky and not portable. In this study, ammonium metavanadate and sulfuric acid were used to prepare the detection solution instead of peroxidase to produce color. We also analyzed the effect of different concentrations of detection solution on absorbance sensitivity. Finally, a flip chip blue Mini-LEDs miniaturized optical instrument (FC blue Mini-LEDs MOI) was designed for glucose detection using optics fiber, collimating lenses, a miniaturized spectrometer, and an FC Blue Mini-LEDs with a center wavelength of 459 nm. While detecting glucose solutions in the concentration range of 0.1-10 mM by the developed MOI, the regression equation of y = 0.0941x + 0.1341, R2 of 0.9744, the limit of detection was 2.15 mM, and the limit of quantification was 7.163 mM. Furthermore, the preparation of the detection solution only takes 10 min, and the absorbance sensitivity of the optimized detection solution could be increased by 2.3 times. The detection solution remained stable with only a 0.6% decrease in absorbance compared to the original after storing it in a refrigerated environment at 3 °C for 14 days. The method proposed in this study for detecting glucose using FC blue light Mini-LEDs MOI reduces the use of peroxidase. In addition, it has a wide detection range that includes blood as well as non-invasive saliva and tear fluids, providing patients with a miniaturized, highly sensitive, and quantifiable glucose detection system.

Trajectories of body mass index before the diagnosis of type 2 diabetes in a cohort of Taiwanese adults

BACKGROUND

Although the prevalence of overweight/obesity is lower in Asian countries, the risk of type 2 diabetes (T2DM) is disproportionally higher. We identified and characterized the trajectory patterns of body mass index (BMI) before the onset of T2DM in a Taiwanese population.

METHODS

Using the Taiwan MJ cohort study, we sampled the health examination data of 22,934 participants, including 7618 cases of T2DM and 15,316 controls. We used latent class trajectory analysis to identify distinct groups of pre-disease BMI trajectory. To compare the trajectories of cardiometabolic risk factors among different groups, we used linear mixed-effects models.

RESULTS

These 22,934 participants included 13,074 men (57%) and 9860 women (43%) who were on average followed for 9.0 years. We identified three distinct pre-disease BMI trajectories in cases: "stable overweight" (n = 7016, 92.1%), "weight gain" (n = 333, 4.4%) and "obesity" (n = 269, 3.5%). The "stable overweight" group had a mean BMI of 24.6 kg/m2 at 15 years prior to diagnosis, had a 1.2 unit increase during follow-up, and had a mean BMI of 25.8 kg/m2 at the time of diagnosis. The "weight gain" group had the most increasing trends in blood pressure/low-density lipoprotein cholesterol over time.

CONCLUSION

The BMI trajectory patterns among individuals who later developed diabetes in Taiwan seemed comparable to that of Western populations, but our population developed T2DM at a much lower BMI. Given that most cases belong to the "stable overweight" group, we also support using a population-based strategy for diabetes prevention instead of focusing on the high risk individuals.

Protein Kinase C (PKC)-mediated TGF-β Regulation in Diabetic Neuropathy: Emphasis on Neuro-inflammation and Allodynia

According to the World Health Organization (WHO), diabetes has been increasing steadily over the past few decades. In developing countries, it is the cause of increased morbidity and mortality. Diabetes and its complications are associated with education, occupation, and income across all levels of socioeconomic status. Factors, such as hyperglycemia, social ignorance, lack of proper health knowledge, and late access to medical care, can worsen diabetic complications. Amongst the complications, neuropathic pain and inflammation are considered the most common causes of morbidity for common populations. This review is focused on exploring protein kinase C (PKC)-mediated TGF-946; regulation in diabetic complications with particular emphasis on allodynia. The role of PKC-triggered TGF-946; in diabetic neuropathy is not well explored. This review will provide a better understanding of the PKC-mediated TGF-946; regulation in diabetic neuropathy with several schematic illustrations. Neuroinflammation and associated hyperalgesia and allodynia during microvascular complications in diabetes are scientifically illustrated in this review. It is hoped that this review will facilitate biomedical scientists to better understand the etiology and target drugs effectively to manage diabetes and diabetic neuropathy.

Health poverty among people with type 2 diabetes mellitus (T2DM) in Malaysia

In the context of the escalating burden of diabetes in low and middle-income countries (LMICs), there is a pressing concern about the widening disparities in care and outcomes across socioeconomic groups. This paper estimates health poverty measures among individuals with type 2 diabetes mellitus (T2DM) in Malaysia. Using data from the National Diabetes Registry between 2009 and 2018, the study linked 932,855 people with T2DM aged 40-75 to death records. Cox proportional hazards models were used to estimate the 5-year survival probabilities for each patient, stratified by age and sex, while controlling for comorbidities and area-based indicators of socio-economic status (SES), such as district-level asset-based indices and night-time luminosity. Measures of health poverty, based on the Foster-Greer-Thorbecke (FGT) measures, were employed to capture excessive risk of premature mortality. Two poverty line thresholds were used, namely a 5% and 10% reduction in survival probability compared to age and sex-adjusted survival probability of the general population. Counterfactual simulations estimated the extent to which comorbidities contribute to health poverty. 43.5% of the sample experienced health poverty using the 5% threshold, and 8.9% were health poor using the 10% threshold. Comorbidities contribute 2.9% for males and 5.4% for females, at the 5% threshold. At the 10% threshold, they contribute 7.4% for males and 3.4% for females. If all patients lived in areas of highest night-light intensity, poverty would fall by 5.8% for males and 4.6% for females at the 5% threshold, and 4.1% for males and 0.8% for females at the 10% threshold. In Malaysia, there is a high incidence of health poverty among people with diabetes, and it is strongly associated with comorbidities and area-based measures of SES. Expanding the application of health poverty measurement, through a combination of clinical registries and open spatial data, can facilitate simulations for health poverty alleviation.

Investigation on Anti-diabetic Efficacy of a Cucurbitaceae Food Plant from the North-East Region of India: Exploring the Molecular Mechanism through Modulation of Oxidative Stress and Glycosylated Hemoglobin (HbA1c)

BACKGROUND

The medicinal plants of the Cucurbitaceae family, such as Solena heterophylla Lour. fruits, have significant ethnobotanical value and are readily accessible in North East India.

AIMS

We conducted a study on Solena heterophylla Lour. fruits to evaluate their anti-diabetic activity in vivo, standardize their HPTLC, and profile their metabolites using LC-QTOF-MS. We aimed to explore the molecular mechanism behind their effects on oxidative stress and glycosylated hemoglobin (HbA1c).

METHODS

Firstly, the ethyl acetate fraction of Solena heterophylla Lour. fruits was standardized using Cucurbitacin B as a standard marker by conducting HPTLC evaluation. Next, we delved into analyzing metabolite profiling. In addition, the standardized fraction was utilized in an experimental study to investigate the molecular mechanism of action in an in vivo high-fat diet and a low dose of streptozotocin-induced diabetic model.

RESULTS

We have reportedly identified 52 metabolites in the ethyl acetate fraction of Solena heterophylla (EASH). In the in vitro tests, it has been observed that this extract from plants possesses notable inhibitory properties against α-amylase and α-glucosidase. Solena heterophylla fruits with high levels of Cucurbitacin B (2.29% w/w) helped lower FBG levels in animals with EASH treatment. EASH treatment reduced HbA1c levels and normalized liver lipid peroxidation and antioxidant enzyme levels. SGOT, SGPT, and SALP serum enzyme levels also returned to normal.

CONCLUSION

Based on the current evaluation, it was found that EASH exhibited encouraging hypoglycemic effects in diabetic rats induced by a low dose of STZ and high-fat diet, which warrants further investigation.

Genetics and epigenetics of diabetes and its complications in India

Diabetes mellitus (DM) has become a significant health concern with an increasing rate of morbidity and mortality worldwide. India ranks second in the number of diabetes cases in the world. The increasing burden of DM can be explained by genetic predisposition of Indians to type 2 diabetes mellitus (T2DM) coupled with rapid urbanization and socio-economic development in the last 3 decades leading to drastic changes in lifestyle. Environment and lifestyle changes contribute to T2DM development by altering epigenetic processes such as DNA methylation, histone post-translational modifications, and long non-coding RNAs, all of which regulate chromatin structure and gene expression. Although the genetic predisposition of Indians to T2DM is well established, how environmental and genetic factors interact and lead to T2DM is not well understood. In this review, we discuss the prevalence of diabetes and its complications across different states in India and how various risk factors contribute to its pathogenesis. The review also highlights the role of genetic predisposition among the Indian population and epigenetic factors involved in the etiology of diabetes. Lastly, we review current treatments and emphasize the knowledge gap with respect to genetic and epigenetic factors in the Indian context. Further understanding of the genetic and epigenetic determinants will help in risk prediction and prevention as well as therapeutic interventions, which will improve the clinical management of diabetes and associated macro- and micro-vascular complications.

Effects of Daily Ingestion of Two SunGold Kiwifruit for 6 Weeks on Metabolic and Inflammatory Biomarkers: A Randomized, Cross-Over, Exploratory Intervention Study

Kiwifruit contain many components, some considered beneficial, such as vitamins, phytochemicals and dietary fibre, and others potentially harmful, such as fructose and glucose in fruit sugars. In a 6-week, randomised, crossover study aimed at exploring the net effects of daily consumption of kiwifruit, 23 healthy participants consumed two Actinidia chinensis var. chinensis 'Zesy002' (marketed as Zespri™ SunGold™ Kiwifruit) per day as part of their customary diet (intervention) or without kiwifruit (control) as their customary diet for 6 weeks in a cross-over study. Anthropometric data, venous blood, and urine samples were collected at the start and end of the 6-week intervention and control periods for the measurement of physical changes, plasma glucose, insulin, glycated haemoglobin, short-chain fatty acids, blood lipids, uric acid, inflammatory biomarkers, and urinary ascorbic acid. Variables were measured between the start and finish of interventions, and between intervention and control periods. Food diaries were completed on the 3 days before blood sampling to estimate dietary ascorbic acid and dietary fibre intakes. Despite urinary vitamin C and food diaries indicating compliance, and good precision in measurements, there were no appreciable changes in biomarkers during the study, either within or between intervention and control periods, that would indicate a change in health status. Thus, the sizes of any effects of kiwifruit ingestion were too small to become significant under the test conditions used, indicating a high probability that daily ingestion of two SunGold kiwifruit is safe with respect to metabolic health.

Monitoring Endocrine Nursing in South Asia (MENSA)

Background

South Asian countries face the colossal challenge of tackling the massive burden of diabetes and other endocrine disorders. These patients grossly outnumber the specialists trained to deal with these conditions. A trained cadre of diabetes specialist nurses (DSN) and endocrine specialist nurses (ESN) might help bridge this gap. Exploring the perception of DSN/ESN among South Asian doctors will help to understand their role, responsibilities and future prospects.

Methods

One hundred and seventy-four endocrinologists from South Asia participated in an online survey on their perception of DSNs and ESNs.

Results

Out of the 174 respondents, 61 (35%) were currently working with DSN/ESN, 79 (45.4%) had worked in the past and 131 (75.2%) were willing to start recruiting or employ additional DSN/ESN in the future. The majority considered that the primary function of DSN and ESN is to educate on diabetes (n = 86, 96.6%) and endocrine disorders (n = 34, 57.6%), respectively, followed by anthropometry and initial work-up. Only a small minority felt they could write independent follow-up prescriptions (nurse-led clinics) [DSN - 16 (18%) and ESN - 3 (5.1%)]. Graduation with a certificate course in diabetes and basic endocrinology was considered a sufficient qualification by 68 (39.1%) respondents. Endocrinologists from countries other than India were more willing to recruit ESN/DSN in the future (89.7% vs 72.4%; P < 0.03) and approve a nurse-led clinic (62.1% vs 29.7%; P < 0.03). Upon multiple logistic regression, working in countries other than India was an independent predictor of future willingness to work with DSN/ESN (odds ratio (OR): 4.48, 95% confidence interval (CI) 1.09-18.43, P = 0.03).

Conclusion

DSN and ESN could facilitate the management of healthcare-seekers with diabetes and endocrine disorders. A certification course to train nurses on diabetes and basic endocrine disorders following graduation could be helpful. Major hindrances in creating a regular cadre of DSN/ESN were limited opportunities for career progression and lack of additional remuneration for services.

Global variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c

Fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c) are both used to diagnose diabetes, but these measurements can identify different people as having diabetes. We used data from 117 population-based studies and quantified, in different world regions, the prevalence of diagnosed diabetes, and whether those who were previously undiagnosed and detected as having diabetes in survey screening, had elevated FPG, HbA1c or both. We developed prediction equations for estimating the probability that a person without previously diagnosed diabetes, and at a specific level of FPG, had elevated HbA1c, and vice versa. The age-standardized proportion of diabetes that was previously undiagnosed and detected in survey screening ranged from 30% in the high-income western region to 66% in south Asia. Among those with screen-detected diabetes with either test, the age-standardized proportion who had elevated levels of both FPG and HbA1c was 29-39% across regions; the remainder had discordant elevation of FPG or HbA1c. In most low- and middle-income regions, isolated elevated HbA1c was more common than isolated elevated FPG. In these regions, the use of FPG alone may delay diabetes diagnosis and underestimate diabetes prevalence. Our prediction equations help allocate finite resources for measuring HbA1c to reduce the global shortfall in diabetes diagnosis and surveillance.

Pancreatic cancer challenge in 52 Asian countries: age-centric insights and the role of modifiable risk factors (1990-2019)

Background

Pancreatic cancer is renowned for its elevated incidence and mortality rates on a global scale. The disease burden of pancreatic cancer is anticipated to increase, particularly in Asia, due to its vast and rapidly aging population.

Methods

Data from the Global Burden of Disease 2019 were analyzed for pancreatic cancer burden across 52 countries in Asia, including the incidence, mortality, and disability-adjusted life years (DALY) for pancreatic cancer, with a focus on risk factors such as high body mass index (BMI), elevated fasting plasma glucose, and smoking. We applied the Estimated Annual Percentage Change, the Age-Period-Cohort model, and decomposition analysis to evaluate incidence trends and effects.

Results

From 1990 to 2019, both incidence and mortality rates of pancreatic cancer in Asia significantly increased, with an average annual standardized incidence rate change of 1.73%. Males consistently exhibited higher rates than females, with smoking as a key risk factor. Central Asia reported the highest rates, and South Asia the lowest. The incidence rose with age, peaking in those aged 70~74. The disease burden increased in all age groups, particularly in populations aged 55 and above, representing 84.41% of total cases in 2019, up from 79.01% in 1990. Pancreatic cancer ranked the fifth in incidence among six major gastrointestinal tumors but presented a significant growth rate of mortality and DALY.

Conclusion

With the growing, aging population in Asia, the pancreatic cancer burden is projected to escalate, bringing a significant public health challenge. Hence, comprehensive public health strategies emphasizing early detection, risk modification, and optimized treatment of pancreatic cancer are imperative.

Medication adherence and health-related quality of life among people with diabetes in Bangladesh: A cross-sectional study

INTRODUCTION

Good adherence to anti-diabetic medications is an important protective factor for decreasing diabetes-related complications and disabilities but its association with health-related quality of life (HRQoL) is understudied. The current study aimed to assess an association between medication adherence to anti-diabetic drugs and HRQoL among people with diabetes in Dhaka city, Bangladesh.

METHODS

We conducted a cross-sectional study among 480 people with diabetes aged between 50 and 70 years, who attended a tertiary-level hospital in Dhaka city. We used the EuroQol-5 Dimensions Questionnaire (EQ-5D-5L) to measure HRQoL and Morisky Medication Adherence Scale to assess the level of medication adherence to anti-diabetic drugs. Multivariable logistic regression was performed to assess the significance of relevant factors.

RESULTS

The mean age of the participants was 59.0 (standard deviation [SD], 7.0) years. The majority of the participants (74%) had a lower level of medication adherence. The mean value of (EQ-5D-5L) was 2.0 (SD, 1.0). The percentage of severe disability in different domains were 6.7% for mobility, 3.5% for self-care, 11.9% for usual daily activities, 11.9% for pain/discomfort and 11.3% for anxiety. After adjusting for age, sex, years of education, household expenditure, hypertension, duration of diabetes, glycemic status and multi-morbidities; low adherence to anti-diabetic medication was inversely associated with pain (OR, 0.26; 95% CI, 0.08-0.80; p = .036), and positively associated with anxiety (OR, 7.18; 95% CI, 1.03-9.59; p = .043).

CONCLUSIONS

Low medication adherence to anti-diabetic drugs was associated with anxiety and pain among the EQ-5D-5L indexes measured in people with diabetes in Dhaka, Bangladesh.

High-normal unconjugated bilirubin is associated with decreased risk of chronic kidney disease in type 2 diabetes: A real-world study

OBJECTIVE

To investigate the association between serum unconjugated bilirubin (UCB) within normal limits and chronic kidney disease (CKD) in T2DM patients.

METHOD

This cross-sectional, real-world study was performed in 8661 hospitalised T2DM patients. The subjects were stratified into quintiles based on serum UCB levels. The clinical characteristics and CKD prevalence were compared among the UCB quantile groups. The associations of serum UCB levels and quintiles with CKD were also analysed by binary logistic regression.

RESULTS

After controlling for age, sex, and diabetes duration (DD), the CKD prevalence (20.4%, 12.2%, 10.6%, 8.3%, and 6.4% for the first, second, third, fourth, and fifth quintiles, respectively, p < 0.001 for trend) was significantly decreased across the serum UCB quintiles. The fully adjusted regression model showed negative associations of serum UCB levels (OR: 0.660, 95% CI: 0.585-0.744; p < 0.001 for trend) and quintiles (p < 0.001) with the presence of CKD. Compared with the subjects in the lowest UCB quintile, the risk of CKD decreased by 36.2%, 54.3%, 53.8%, and 62.1%, respectively, in those from the second to the highest UCB quintile. Additionally, C-reactive protein (CRP) levels were significantly higher in the subjects with CKD than in those without CKD (p < 0.001), and significantly decreased across the UCB quintiles (p < 0.001 for trend).

CONCLUSIONS

Serum UCB levels within the normal range were significantly and negatively linked to CKD in T2DM patients. High-normal UCB may be an independent protective factor for CKD by its antioxidant and the following anti-inflammatory activities through its signalling activity, which was indicated by clearly decreased CRP levels across the UCB quintiles.

Data collaboration analysis in predicting diabetes from a small amount of health checkup data

Recent studies showed that machine learning models such as gradient-boosting decision tree (GBDT) can predict diabetes with high accuracy from big data. In this study, we asked whether highly accurate prediction of diabetes is possible even from small data by expanding the amount of data through data collaboration (DC) analysis, a modern framework for integrating and analyzing data accumulated at multiple institutions while ensuring confidentiality. To this end, we focused on data from two institutions: health checkup data of 1502 citizens accumulated in Tsukuba City and health history data of 1399 patients collected at the University of Tsukuba Hospital. When using only the health checkup data, the ROC-AUC and Recall for logistic regression (LR) were 0.858 ± 0.014 and 0.970 ± 0.019, respectively, while those for GBDT were 0.856 ± 0.014 and 0.983 ± 0.016, respectively. When using also the health history data through DC analysis, these values for LR improved to 0.875 ± 0.013 and 0.993 ± 0.009, respectively, while those for GBDT deteriorated because of the low compatibility with a method used for confidential data sharing (although DC analysis brought improvements). Even in a situation where health checkup data of only 324 citizens are available, the ROC-AUC and Recall for LR were 0.767 ± 0.025 and 0.867 ± 0.04, respectively, thanks to DC analysis, indicating an 11% and 12% improvement. Thus, we concluded that the answer to the above question was "Yes" for LR but "No" for GBDT for the data set tested in this study.

The role of structural racism and geographical inequity in diabetes outcomes

Diabetes is pervasive, exponentially growing in prevalence, and outpacing most diseases globally. In this Series paper, we use new theoretical frameworks and a narrative review of existing literature to show how structural inequity (structural racism and geographical inequity) has accelerated rates of diabetes disease, morbidity, and mortality globally. We discuss how structural inequity leads to large, fixed differences in key, upstream social determinants of health, which influence downstream social determinants of health and resultant diabetes outcomes in a cascade of widening inequity. We review categories of social determinants of health with known effects on diabetes outcomes, including public awareness and policy, economic development, access to high-quality care, innovations in diabetes management, and sociocultural norms. We also provide regional perspectives, grounded in our theoretical framework, to highlight prominent, real-world challenges.

Dementia incidence and population-attributable fraction for dementia risk factors in Republic of Korea: a 12-year longitudinal follow-up study of a national cohort

Background

We aimed to investigate the incidence of dementia by age and year as well as the population-attributable fractions (PAFs) for known dementia risk factors in Republic of Korea.

Methods

A 12-year, nationwide, population-based, retrospective cohort study was conducted. We used customized health information from the National Health Insurance Service (NHIS) data from 2002 to 2017. We analyzed age- and sex-adjusted incidence rates and PAF of dementia for each risk factor such as depression, diabetes, hemorrhagic stroke, ischemic stroke, hypertension, osteoporosis and physical inactivity using Levin's formula.

Results

Of the 794,448 subjects in the dementia-free cohort, 49,524 (6.2%) developed dementia. Dementia incidence showed annual growth from 1.56 per 1,000 person-years in 2006 to 6.94 per 1,000 person-years in 2017. Of all dementia cases, 34,544 subjects (69.8%) were female and 2,479 subjects (5.0%) were early onset dementia. AD dementia accounted for 66.5% of the total dementia incidence. Considering relative risk and prevalence, physical inactivity attributed the greatest to dementia (PAF, 8.1%), followed by diabetes (PAF, 4.2%), and hypertension (PAF, 2.9%). Altogether, the significant risk factors increased the risk of dementia by 18.0% (overall PAF).

Conclusion

We provided the incidence of dementia and PAFs for dementia risk factors in Republic of Korea using a 12-year, nationwide cohort. Encouraging lifestyle modifications and more aggressive control of risk factors may effectively prevent dementia.

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.

Trends of clinical parameters and incidences of diabetes mellitus complications among patients with type 2 diabetes mellitus in Hong Kong, 2010-2019: a retrospective cohort study

Background

Diabetes mellitus-related characteristics, including available medications, onset ages, and newly-introduced management program, have been changing recently in Hong Kong, especially after the introduction of the Risk Assessment and Management Program-Diabetes Mellitus in all outpatient clinics in 2009. To understand the plural change and improve the management of patients with Type 2 Diabetes Mellitus (T2DM) based on the latest data, we examined the trends of clinical parameters, T2DM complications and mortality in patients with T2DM in Hong Kong from 2010 to 2019.

Methods

In this retrospective cohort study, we acquired data from the Clinical Management System of the Hospital Authority in Hong Kong. Among adults with T2DM diagnosed on or before Sept 30, 2010, and with at least one attendance in general outpatient clinics between Aug 1, 2009, to Sept 30, 2010, we investigated the age-standardised trends of clinical parameters including haemoglobin A1c, systolic blood pressure, diastolic blood pressure, low-density lipoprotein cholesterol (LDL-C), body mass index and estimated glomerular filtration rate (eGFR), complications including cardiovascular disease (CVD), peripheral vascular disease (PVD), sight-threatening diabetic retinopathy (STDR), neuropathy, eGFR<45 mL/min/1.73 m² and end-stage renal disease (ESRD), and all-cause mortality from 2010 to 2019 and tested the statistical significance of the trends using generalised estimating equation by sex, level of clinical parameters and age groups.

Findings

In total, 82,650 males and 97,734 females with T2DM were identified. LDL-C decreased from 3 to 2 mmol/L in both males and females, while other clinical parameters changed within 5% over the full decade from 2010 to 2019. CVD, PVD, STDR, and neuropathy had declining incidences, while ESRD and all-cause mortality had increasing incidences from 2010 to 2019. The incidence of eGFR<45 mL/min/1.73 m² increased in males but decreased in females. The odds ratio (OR) of ESRD (1.13, 95% CI [1.12, 1.15]) was highest in both males and females while the ORs of STDR (0.94, 95% CI [0.92, 0.96]) and neuropathy (0.90, 95% CI [0.88, 0.92]) were lowest in males and females, respectively. Complications and all-cause mortality trends varied among baseline HbA1c, eGFR, and age subgroups. In contrast to the findings in other age groups, the incidence of any outcomes did not decrease in younger patients (<45 years) from 2010 to 2019.

Interpretation

Improvements were observed in LDL-C and incidences of most complications from 2010 to 2019. Worse performance in the younger age group and increasing incidence of renal complications and mortality need more attention in managing patients with T2DM.

Funding

The Health and Medical Research Fund, the Health Bureau, and Government of the Hong Kong Special Administrative Region.

Changing socioeconomic and geographic gradients in cardiovascular disease risk factors among Indians aged 15-49 years - evidence from nationally representative household surveys

Background

Cardiovascular diseases (CVDs) are the leading cause of death in most low- and middle-income countries (LMICs). CVDs and their metabolic risk factors have historically been concentrated among urban residents with higher socioeconomic status (SES) in LMICs such as India. However, as India develops, it is unclear whether these socioeconomic and geographic gradients will persist or change. Understanding these social dynamics in CVD risk is essential for mitigating the rising burden of CVDs and to reach those with the greatest needs.

Methods

Using nationally representative data with biomarker measurements from the fourth (2015-16) and fifth (2019-21) Indian National Family and Health Surveys, we investigated trends in the prevalence of four CVD risk factors: smoking (self-reported), unhealthy weight (BMI ≥25 kgm2), diabetes (random plasma glucose concentration ≥200 mg/dL or self-reported diabetes), and hypertension (one of: average systolic blood pressure ≥140 mmHg, average diastolic blood pressure ≥90 mmHg, self-reported past diagnosis, or self-reported current antihypertensive medication use) among adults aged 15-49 years. We first described changes at the national level and then trends stratified by place of residence (urban versus rural), geographic region (northern, northeastern, central, eastern, western, southern), regional level of development (Empowered Action Group member state or not), and two measures of socioeconomic status: level of education (no education, primary incomplete, primary complete, secondary incomplete, secondary complete, higher) and wealth (quintiles).

Findings

Unhealthy weight increased among all social and geographic groups but both the absolute and the relative changes were substantially higher among people with low SES (as measured by education or wealth) and in rural areas. For diabetes and hypertension, the prevalence increased for those from disadvantaged groups while staying constant or even decreasing among the wealthier and more educated. In contrast, smoking consumption declined for all social and geographic groups.

Interpretation

In 2015-16, CVD risk factors were higher among more advantaged subpopulations in India. However, between 2015-16 and 2019-21, the prevalence of these risk factors grew more rapidly for less wealthy and less educated subpopulations and those living in rural areas. These trends have resulted in CVD risk becoming far more widespread throughout the population; CVD can no longer be characterized as a wealthy urban phenomenon.

Funding

This work was supported by the Alexander von Humboldt Foundation (grant received by NS); the Stanford Diabetes Research Center [grant received by PG] and the Chan Zuckerberg Biohub [grant received by PG].

Salidroside facilitates therapeutic angiogenesis in diabetic hindlimb ischemia by inhibiting ferroptosis

Hindlimb ischemia (HLI), in which blood perfusion to the hindlimb is obstructed, is one of the major complications of diabetes. Skeletal muscle cells are crucial for revascularization as they can secrete various angiogenic factors; however, hyperglycemia impairs their viability and subsequently their angiogenic potential. Salidroside can promote skeletal muscle cell viability under hyperglycemia; however, the molecular mechanism is still poorly understood. Here we revealed that salidroside could suppress hyperglycemia-induced ferroptosis in skeletal muscle cells by promoting GPX4 expression, thereby restoring their viability and paracrine functions. These in turn promoted the proliferation and migration potentials of blood vessel-forming cells. Furthermore, we showed that salidroside/GPX4-mediated ferroptosis inhibition is crucial for promoting angiogenesis and blood perfusion recovery in diabetic HLI mice. Together, we reveal a novel molecular mechanism of salidroside in enhancing skeletal muscle cells-mediated revascularization and blood perfusion recovery in diabetic HLI mice, further highlighting it as a potential compound for treating diabetic HLI.

Efficacy and Safety of Ertugliflozin Added to Metformin: A Pooled Population from Asia with Type 2 Diabetes and Overweight or Obesity

INTRODUCTION

The efficacy and safety of ertugliflozin have not been well characterized in Asian populations with type 2 diabetes (T2D) and overweight or obesity as defined by the Chinese Diabetes Society [body mass index (BMI) ≥ 24 kg/m²].

METHODS

These post hoc analyses of pooled data from two randomized, double-blind, 26-week studies assessed the efficacy and safety of ertugliflozin (5 mg or 15 mg) compared with placebo in participants from Asia with T2D and baseline BMI ≥ 24 kg/m², with inadequate glycemic control on metformin. Longitudinal analyses were used to calculate least squares (LS) mean [95% confidence interval (CI)] change from baseline in glycemic indices and body weight. The proportions of participants achieving efficacy targets and experiencing adverse events (AEs) were assessed.

RESULTS

The 445 participants had a mean age of 55.5 years, T2D duration 6.6 years, glycated hemoglobin (HbA1c) 8.1%, and BMI 27.6 kg/m². At week 26, placebo-adjusted LS mean (95% CI) changes from baseline for ertugliflozin 5 mg and 15 mg, respectively, were - 0.78% (- 0.95% to - 0.61%) and - 0.80% (- 0.98% to - 0.63%) for HbA1c, and - 1.74 kg (- 2.29 kg to - 1.19 kg) and - 2.04 kg (- 2.60 kg to - 1.48 kg) for body weight. A greater proportion of participants receiving ertugliflozin 5 mg and 15 mg versus placebo, respectively, achieved HbA1c < 7.0% (42.1% and 46.3% vs. 13.9%), body weight reduction ≥ 5% (35.5% and 38.3% vs. 11.1%), and systolic blood pressure < 130 mmHg (42.4% and 34.5% vs. 21.7%). The proportion of participants with AEs was 52.6% (ertugliflozin 5 mg), 52.3% (ertugliflozin 15 mg), and 55.6% (placebo).

CONCLUSIONS

In participants from Asia with T2D inadequately controlled by metformin monotherapy, and BMI ≥24 kg/m², ertugliflozin (5 mg or 15 mg) resulted in greater glycemic and body weight reductions compared with placebo and was generally well tolerated.

TRIAL REGISTRATION

Clinicaltrials.gov identifiers NCT02033889, NCT02630706.

Developing a prediction model for all-cause mortality risk among patients with type 2 diabetes mellitus in Shanghai, China

BACKGROUND

All-cause mortality risk prediction models for patients with type 2 diabetes mellitus (T2DM) in mainland China have not been established. This study aimed to fill this gap.

METHODS

Based on the Shanghai Link Healthcare Database, patients diagnosed with T2DM and aged 40-99 years were identified between January 1, 2013 and December 31, 2016 and followed until December 31, 2021. All the patients were randomly allocated into training and validation sets at a 2:1 ratio. Cox proportional hazards models were used to develop the all-cause mortality risk prediction model. The model performance was evaluated by discrimination (Harrell C-index) and calibration (calibration plots).

RESULTS

A total of 399 784 patients with T2DM were eventually enrolled, with 68 318 deaths over a median follow-up of 6.93 years. The final prediction model included age, sex, heart failure, cerebrovascular disease, moderate or severe kidney disease, moderate or severe liver disease, cancer, insulin use, glycosylated hemoglobin, and high-density lipoprotein cholesterol. The model showed good discrimination and calibration in the validation sets: the mean C-index value was 0.8113 (range 0.8110-0.8115) and the predicted risks closely matched the observed risks in the calibration plots.

CONCLUSIONS

This study constructed the first 5-year all-cause mortality risk prediction model for patients with T2DM in south China, with good predictive performance.

Human periodontitis-associated salivary microbiome affects the immune response of diabetic mice

Background

The bidirectional association between periodontitis and diabetes mellitus has been well accepted; however, pathways connecting them remain unclear. Some oral bacteria are able to induce immunologic changes favoring insulin resistance individually. However, it is unclear if and how the systemic immune system responds to a disturbed oral microbial community in diabetic sufferers.

Aim

This study aimed to investigate the impact of the human periodontitis-associated salivary microbiome on the splenic immune responses of diabetic mice.

Methods

An in vivo diabetic animal model was established by feeding high fat food. After microbial depletion with quadruple antibiotic treatment, human saliva from healthy and periodontitis volunteers was transplanted into the mouth of these diabetic mice (N = 3), respectively.

Results

Osteoclasts and expression levels of TNF-α and IL-1β were significantly increased in periodontal tissues of mice receiving periodontitis patients donated microbiome compared to these transplanted with healthy subjects donated microbiome. The proportion of monocyte (an innate immunocyte) decreased in mice receiving periodontitis patients donated microbiome. However, the abundance of an adaptive immunocyte Th17 was up-regulated. The IL17 production of ILC3 cells in human periodontitis-associated salivary microbiome recipient mice was significantly impaired.

Conclusions

A disturbed oral microbiome imposes a stress on the splenic immune responses of diabetic mice.

Age- and Gender-Specific Differences in the Seasonal Distribution of Diabetes Mortality in Shandong, China: A Spatial Analysis

Diabetes mortality in Shandong is higher than the national average in China. This study first explored diabetes mortality variation spatially at the county/district level among adults aged over 30 years in terms of age and gender, specifically by season. Daily diabetes mortality data were collected from 31 mortality surveillance points across Shandong Province in 2014. A geographic information system, spatial kriging interpolation and a spatial clustering method were used to examine the spatial patterns of diabetes mortality at the county/district level by season. Sensitivity analysis was conducted using diabetes mortality data from 10 mortality surveillance points from 2011 to 2020. As a result, the total diabetes mortality in eastern counties/districts was the highest (relative risk (RR) of cluster: 1.58, p = 0.00) across the whole province. For subgroups, women had higher mortality (16.84/100,000) than men (12.15/100,000), people aged over 75 years were the most vulnerable (93.91/100,000) and the highest-risk season was winter. However, the mortality differences between winter and summer were smaller in eastern and coastal regions than in other regions for all gender- and age-specific groups. The findings provide further evidence for early warning and precision preventative strategies for diabetes mortality in different regions of Shandong Province. Future research is required to identify the risk factors for diabetes and understand the differences in the social and environmental contexts.

The increasing incidence and high body mass index-related burden of gallbladder and biliary diseases-A results from global burden of disease study 2019

BACKGROUND

Gallbladder and biliary diseases are common gastrointestinal conditions associated with huge socioeconomic costs and are considered risk factors for cardiovascular diseases and digestive system cancers. The prevalence and incidence of gallbladder and biliary diseases have not received enough attention from 1990 to 2019. Several non-communicable diseases were associated with the incidence of gallbladder and biliary diseases. It is necessary to clarify the change in the incidence and disability burden of gallbladder and biliary diseases worldwide.

METHODS

Data on high body mass index (BMI)-related disease burden and incidence, years of life lost prematurely, and years lived with disability (YLDs) due to gallbladder and biliary diseases were obtained from the Global Burden of Disease 2019. The estimated annual percentage change was calculated to qualify the gallbladder and biliary disease burden change.

RESULTS

The global age-standardized incidence rate has increased from 585.35 per 100,000 (95% UI: 506.05-679.86) in 1990 to 634.32 per 100,000 (95% UI: 540.21-742.93) in 2019. And the increase in incidence was positively correlated with rising high BMI-related summary exposure value. The high BMI-related YLDs of gallbladder and biliary diseases have increased worldwide over time. Globally, the 25-49 age group suffered a rapid rise in incidence and high BMI attributable to the YLDs rate of gallbladder and biliary diseases.

CONCLUSION

The global incidence and high BMI-related YLDs of gallbladder and biliary diseases remain prominent to increase over the past 30 years. Notably, the incidence and high BMI-related YLDs among people aged 25-49 years have rapidly increased over time. Therefore, high BMI should be emphasized in strategic priorities for controlling gallbladder and biliary diseases.

Social determinants of diabesity and its association with multimorbidity among older adults in India: a population-based cross-sectional study

OBJECTIVES

India, a major contributor to the global diabetes burden, is witnessing a simultaneous epidemic of obesity leading to rise in diabesity. Diabesity, the coexistence of diabetes and obesity in an individual, has emerged as a risk factor for other morbidities and hence, multimorbidity. Although diabesity has long been recognised, still, there is a poor understanding of its social determinants in India, necessary for its control. We aimed to estimate and compare the prevalence and identify social determinants of obesity, diabetes and diabesity; explore their association with other selected non-communicable diseases (NCDs) multimorbidity; and assess its outcomes among adults aged ≥45 years.

DESIGN AND SETTING

We undertook an observational analyses employing nationally representative data from Longitudinal Ageing Study in India, 2017-2018.

PARTICIPANTS

This study was conducted among n=59 073 respondents.

OUTCOME MEASURES

Descriptive analysis was conducted among n=59 073 respondents to determine prevalence of diabetes, obesity and diabesity. The social determinants were assessed using multinomial regression, reported as adjusted relative risk ratio (RRR). A multiple correspondence analysis generated life satisfaction.

RESULTS

The prevalence of obesity, diabetes, and diabesity was 21.2%, 6%, and 5.8%, respectively. We identified women (RRR: 2.16 (1.72 to 2.71)), urban residents (RRR: 3.73 (3.07 to 4.54)) and affluent groups (RRR: 3.60 (2.46 to 4.58)) had a higher likelihood of having diabesity. The association with various NCDs showed multimorbidity to be akin to the diabesity group. We observed inferior life satisfaction and significantly higher healthcare utilisation among participants with diabesity as compared with other two groups.

CONCLUSION

Increased obesity prevalence has led to the rise in diabesity in India. Additionally, the level of multimorbidity in this group cannot be overlooked. Rather than focusing on individual conditions, an in toto approach to multimorbidity is warranted.

Topological Indices of Novel Drugs Used in Cardiovascular Disease Treatment and Its QSPR Modeling

A topological index is a score function that changes each molecular structure to a unique real number. It aids in determining the physicochemical and biological properties of a wide range of drugs, and it more accurately reflects the theoretical properties of drugs. The task is accomplished through the use of degree-based topological indices (TIs). Heart disease refers to a group of disorders that affect our hearts. Heart diseases include blood vessel disorders such as irregular heartbeat and heart muscle disease. In this article, Eliquis, metoprolol, valsartan, etc., and other drugs employed to treat cardiovascular disease are studied and the QSPR analysis goal will probe the mathematical relationship of properties such as (polarity, boiling point, enthalpy, etc.) and assorted descriptors associated to drug’s structure. The present study on TIs imposed on drugs was found to have a good correlation with physical properties.

Assessment of the risk factors associated with type 2 diabetes and prediabetes mellitus: A national survey in Vietnam

This study aims to estimating the prevalence of type 2 diabetes and prediabetes among adult from 30 to 69 years old and assess the association of risk factor with the conditions. A total of 5244 aged 30 to 69 years old were participated in this cross-sectional study, using nationally representative sampling frame. All participants were taking blood sample to measure fasting blood glucose level and 2-hour postload oral glucose tolerance test by National Hospital of Endocrinology, Vietnam. Multinomial logistic regressions with baseline-category logit models were conducted to identify factors associated with diabetes and prediabetes among respondents. The prediabetes prevalence was in 17.9% and diabetes in 7.3%. Patients who were male (reference group vs female OR = 0.79; 95% CI: 0.64, 0.97), in the 50 to 59 years old group (OR = 1.60; 95% CI: 1.28, 2.00), have hypertension and WHR risk have higher prevalence to have prediabetes (OR = 1.31; 95% CI: 1.12, 1.53; OR = 1.37; 95% CI: 1.11, 1.70, respectively). Male patients (reference group vs female OR = 0.62; 95% CI: 0.45, 0.84), patients who were in 40 to 49; 50 to 59; 60 to 69 years old, those who were housewife (OR = 2.17; 95% CI: 1.43, 3.28; OR = 2.85; 95% CI: 1.91, 4.27; OR = 3.12; 95% CI: 2.08, 4.69; OR = 1.71; 95% CI: 1.22, 2.40, respectively). Diabetes have significant associated with participants have hypertension (OR = 1.19; 95% CI: 1.72, 2.70). The common factor directly related to prediabetes and diabetes in both genders is age. Other factors directly associated with prediabetes and diabetes include BMI, WHR, hypertension, educational level, and job.

Obesity-associated metabolites in relation to type 2 diabetes risk: A prospective nested case-control study of the CARRS cohort

AIMS

To determine whether obesity-associated metabolites are associated with type 2 diabetes (T2DM) risk among South Asians.

MATERIALS AND METHODS

Serum-based nuclear magnetic resonance imaging metabolomics data were generated from two South Asian population-based prospective cohorts from Karachi, Pakistan: CARRS1 (N = 4017) and CARRS2 (N = 4802). Participants in both cohorts were followed up for 5 years and incident T2DM was ascertained. A nested case-control study approach was developed to select participants from CARRS1 (N_cases  = 197 and N_controls  = 195) and CARRS2 (N_cases  = 194 and N_controls  = 200), respectively. First, we investigated the association of 224 metabolites with general obesity based on body mass index and with central obesity based on waist-hip ratio, and then the top obesity-associated metabolites were studied in relation to incident T2DM.

RESULTS

In a combined sample of the CARRS1 and CARRS2 cohorts, out of 224 metabolites, 12 were associated with general obesity and, of these, one was associated with incident T2DM. Fifteen out of 224 metabolites were associated with central obesity and, of these, 10 were associated with incident T2DM. The higher level of total cholesterol in high-density lipoprotein (HDL) was associated with reduced T2DM risk (odds ratio [OR] 0.68, 95% confidence interval [CI] 0.53, 0.86; P = 1.2 × 10^-3 ), while higher cholesterol esters in large very-low-density lipoprotein (VLDL) particles were associated with increased T2DM risk (OR 1.90, 95% CI 1.40, 2.58; P = 3.5 × 10^-5 ).

CONCLUSION

Total cholesterol in HDL and cholesterol esters in large VLDL particles may be an important biomarker in the identification of early development of obesity-associated T2DM risk among South Asian adults.

Association of alcohol drinking with incident type 2 diabetes and pre-diabetes: The Guangzhou Biobank Cohort Study

AIMS

We examined associations of baseline alcohol drinking with incident type 2 diabetes (T2D) or impaired fasting glucose (IFG), and explore whether the associations were modified by genetic polymorphisms of aldehyde dehydrogenase-2 (ALDH2) and alcohol dehydrogenase-1B (ADH1B).

MATERIALS AND METHODS

All participants were aged 50+ (mean = 60.45; standard deviation = 6.88) years. Information of alcohol consumption was collected at baseline from 2003 to 2008. Incident T2D was defined as fasting glucose ≥7.0 mmol/L or post-load glucose ≥11.1 mmol/L at follow-up examination (2008-2012), self-reported T2D and/or initiation of hypoglycaemia medication or insulin during follow-up. Impaired fasting glucose was defined as fasting glucose ≥5.6 mmol/L and <7 mmol/L.

RESULTS

Of 15,716 participants without diabetes and 11,232 participants without diabetes and IFG at baseline, 1624 (10.33%) developed incident T2D and 1004 (8.94%) developed incident IFG during an average 4 years of follow-up. After multivariable adjustments, compared with never drinking, occasional or moderate alcohol drinking was not associated with risk of incident hyperglycaemia (T2D + IFG) (odds ratio (OR) = 1.10, 95% confidence interval (CI) 0.95-1.27, and 0.90 (0.69-1.18), respectively), whereas heavy alcohol drinking was associated with a higher risk of incident hyperglycaemia (T2D + IFG) (OR = 1.82, 95% CI 1.24-2.68). No interactions of sex, overweight/obesity and genetic polymorphisms of ADH1B/ALDH2 genes with alcohol drinking on incident T2D and/or IFG were found (P for interaction from 0.12 to 0.85).

CONCLUSIONS

Our results support a detrimental effect of heavy alcohol use on IFG and T2D. No protective effect was found for those carrying lower risk alleles for ADH1B/ALDH2 genes.

The pattern of physical disability and determinants of activities of daily living among people with diabetes in Bangladesh

INTRODUCTION

Diabetes mellitus itself is a known predictor of physical disability and impairment in activities of daily living (ADL); however, there are existing controversies about the factors explaining the association between diabetes and disability. Therefore, we assessed the possible determinants associated with ADL impairment among people with diabetes in Dhaka city, Bangladesh.

METHODS

We conducted a cross-sectional study among 480 people with diabetes aged between 50 and 70 years, and attended a tertiary level hospital in Dhaka city. For determining the ADL impairment, we used the Katz Index Scoring (6 = no impairment; <6 = impairment). Age, sex, educational attainment, household expenditure, body mass index, the status of diabetes (controlled or uncontrolled), hypertension and medication adherence to anti-diabetic drugs were included in the statistical models, and we defined any ADL impairment (Katz score <6) as an event. Multivariable logistic regression was performed to assess the significance of relevant factors.

RESULTS

The mean age of the participants was 59.0 (standard deviation [SD], 7.0) years. The majority of the participants (76.3%) had at least some sort of physical disability. In multivariable logistic regression analysis after adjusting for all covariates simultaneously, age (odds ratio [95% confidence interval]: 1.35 [1.20 to 1.75] per 1-SD increment), BMI (1.32 [1.08 to 1.21] per 1-SD increment), higher educational attainment (0.34 [0.09-0.90]), multi-morbidity (2.79 [1.48-5.25]) and uncontrolled diabetes (1.35 [1.10-1.45]) were independently associated with ADL impairment.

CONCLUSIONS

Physical disability was common, and ADL impairment was associated with age, educational attainment, BMI, multi-morbidities and uncontrolled diabetes among the people with diabetes in Bangladesh.

COVID-19 among the Pakistani immigrant population in Northern Europe – incidence and possible causes for infection

Background

Data from several North European countries have indicated that the Pakistani immigrant populations have higher mortality, higher hospitalization rates and higher infection rates from COVID-19 than the majority populations. Therefore the aim of the study was to examine challenges faced by the Pakistani migrant community in Oslo during the pandemic.

Methods

We included data from national reports, national statistics and scientific articles and discussed them with data gained by 16 semi-structured interviews, and thereby elaborated challenges inhabitants of Norway with a Pakistani background experienced during the first year of the COVID-19 pandemic.

Results

The literature study confirmed that mortality, hospitalization, and infection rates from COVID-19 for the sub-groups of the populations with Pakistani background were consistently higher in Denmark, England and Norway, all countries that published data by ethnicity or origin, even when correcting for all known risk factors. Our interview data from Norway showed that information from the authorities was insufficient and not adapted to the needs of the minority population, especially in the early phases of the pandemic. Furthermore, information was not available in the common minority languages of the country. Another finding indicates that health literacy, particularly regarding COVID-19, seemed to be low in the Pakistani minority, and COVID-19 was not considered as a threat in Norway before death rates began rising in Pakistan.

Conclusion

Adapting information at an early stage to the countries’ minority groups may help reduce the increase in COVID-19 rates.

Type 2 diabetes and hypertension in Vietnam: a systematic review and meta-analysis of studies between 2000 and 2020

OBJECTIVES

The objective of this study was to determine the level of type 2 diabetes (T2DM) and hypertension (HTN) in Vietnam and to assess the trend and recommend the future direction of prevention research efforts.

DESIGN

We searched scientific literature, databases including PubMed, EMBASE, CINHAL and Google Scholar; grey literature and reference lists for primary research published, nation database websites between 1 January 2000 and 30 September 2020. We adapted the modified Newcastle Ottawa Scale for assessing the quality of the study, as recommended by the Cochrane Collaboration.

RESULTS

In total, 83 studies met our inclusion criteria, representing data of approximately 239 034 population of more than 15 years of age in Vietnam. The findings show that prevalence rates varied widely across studies, from 1.0% to 29.0% for T2DM and 2.0% to 47.0% for HTN. For the total study period, pooled prevalence of T2DM and HTN in Vietnam for all studies was 6.0% (95% CI: 4.0% to 7.0%) and 25% (95% CI: 19% to 31%), respectively. Prevalence rate of both T2DM and HTN was higher among the male population compared with female counterpart.

CONCLUSION

There is evidence of a rising trend of HTN and T2DM prevalence in Vietnam. Future research should focus on the major drivers, incidence and prognosis of T2DM and HTN. Policy approaches should base upon the trends of T2DM and HTN in Vietnam over the last 20 years and pay more attention on the effective interventions to combat T2DM and HTN. In our study, we included both English and Vietnamese language articles and seems that majority of the articles came from Vietnamese language.

PROSPERO REGISTRATION NUMBER

CRD42020182959.

Asian Best Practices for Care of Diabetes in Elderly (ABCDE)

The elderly population with diabetes is diverse with the majority experiencing a decline in physical and mental capabilities, impacting the entire diabetes management process. Therefore, a need for geriatric-specific guidelines, especially for the Asian population, was identified and subsequently developed by an expert panel across government and private institutions from several Asian countries. The panel considered clinical evidence (landmark trials, position papers, expert opinions), recommendations from several important societies along with their decades of clinical experience and expertise, while meticulously devising thorough geriatric-specific tailored management strategies. The creation of the ABCDE best practices document underscores and explores the gaps and challenges and determines optimal methods for diabetes management of the elderly population in the Asian region.

Concordance in incidence of diabetes among persons with prediabetes detected using either oral glucose tolerance test or glycated haemoglobin

AIMS

To study the concordance in the incidence of type 2 diabetes (T2DM) between cohorts with prediabetes, selected either by oral glucose tolerance test (OGTT) or glycosylated haemoglobin (HbA1c) at two years in a real world situation.

METHODS

Two cohorts with impaired glucose tolerance (IGT) were selected from the non-interventional arm of the Indian diabetes prevention programmes; a group selected by using OGTT (Cohort 1, n = 498), another selected based on the HbA1c criterion (Cohort 2, n = 504). Clinical and biochemical data collected for 24 months at 6 monthly intervals were used in assessing the cumulative incidence of T2DM using the respective diagnostic criteria. Intra and inter group comparisons were analysed using appropriate statistical tests. A multiple logistic regression analysis was used to identify the variables significantly associated with the incidence of diabetes.

RESULTS

Incidence of diabetes in both cohorts were similar at 12 and 24 months with either of the two criteria (25.3% with glucose and 27.5% with HbA1c, p = 0.41 at 24 months). The multivariate analysis confirmed the results. Only baseline waist circumference was positively associated with the incidence.

CONCLUSION

Both OGTT and HbA1c have similar utility and validity in identifying persons with IGT. Persons identified with either of the criterion had similar incidence of T2DM among Asian Indians.

Barriers towards deceased organ donation among Indians living globally: an integrative systematic review using narrative synthesis

OBJECTIVES

To understand the barriers towards deceased organ donation among Indians living globally.

DESIGN

Integrative systematic review using narrative synthesis.

DATA SOURCES

CINAHL, Medline full-text, PsycInfo, Scopus, Global Health, Web of Science, and PubMed Central, Indian Journal of Transplantation and Google Scholar.

TIME PERIOD

1 January 1994 to 31 December 2021.

PARTICIPANTS

Individuals of Indian origin living globally.

RESULTS

Eighty-nine studies were included with more than 29 000 participants and quality of the studies were assessed using Joanna Briggs Institute's critical appraisal tool. Though majority of the participants had knowledge toward organ donation with a positive influence on willingness, the gap between knowledge and willingness was huge, with minimal registration influenced by the complex sociocultural constructs. Various sociocultural constructs such as family, fear and mistrust, religion, and bodily issues play a vital role. Differences were identified in willingness to donate and register between southern and other regions of India. Indian's organ donation behaviour in other geographical locations differed based on the socioreligious background of the country they lived in such as in Malaysia, Canada and the UK. However, they were collective in decision-making and had complex sociocultural interference irrespective of the country the individual lived which differed only in their next generations.

CONCLUSION

Though this study showed the complex relationship, and its influences on organ donation behaviour, lacunae were identified to further understand how such complex interactions determine or inform the behaviour. Also, methodological issues were identified, where this particular population outside India were collectively studied with their neighbouring population which are not homogenous. Studies in India majorly addressed a similar aim using similar methods which produced repetition of studies leading to lack of diversified, wider and in-depth research. Therefore, while this systematic review addressed the barriers toward organ donation among Indians living globally, it also informs various gaps in research and also methodological issues.

PROSPERO REGISTRATION NUMBER

CRD42019155274.