Socioeconomic inequality in awareness, treatment and control of diabetes among adults in India: Evidence from National Family Health Survey of India (NFHS), 2019-2021

Tongue image fusion and analysis of thermal and visible images in diabetes mellitus using machine learning techniques

The study aimed to achieve the following objectives: (1) to perform the fusion of thermal and visible tongue images with various fusion rules of discrete wavelet transform (DWT) to classify diabetes and normal subjects; (2) to obtain the statistical features in the required region of interest from the tongue image before and after fusion; (3) to distinguish the healthy and diabetes using fused tongue images based on deep and machine learning algorithms. The study participants comprised of 80 normal subjects and age- and sex-matched 80 diabetes patients. The biochemical tests such as fasting glucose, postprandial, Hba1c are taken for all the participants. The visible and thermal tongue images are acquired using digital single lens reference camera and thermal infrared cameras, respectively. The digital and thermal tongue images are fused based on the wavelet transform method. Then Gray level co-occurrence matrix features are extracted individually from the visible, thermal, and fused tongue images. The machine learning classifiers and deep learning networks such as VGG16 and ResNet50 was used to classify the normal and diabetes mellitus. Image quality metrics are implemented to compare the classifiers' performance before and after fusion. Support vector machine outperformed the machine learning classifiers, well after fusion with an accuracy of 88.12% compared to before the fusion process (Thermal-84.37%; Visible-63.1%). VGG16 produced the classification accuracy of 94.37% after fusion and attained 90.62% and 85% before fusion of individual thermal and visible tongue images, respectively. Therefore, this study results indicates that fused tongue images might be used as a non-contact elemental tool for pre-screening type II diabetes mellitus.

The polysaccharides from seeds of Glycyrrhiza uralensis ameliorate metabolic disorders and restructure gut microbiota in type 2 diabetic mice

T2D and its complications are significant threats to human health and are among the most concerning metabolic diseases worldwide. Previous studies have revealed that Glycyrrhiza uralensis polysaccharide extract (GUP) exhibits remarkable antioxidant capabilities and inhibits alpha-glucosidase activity. However, whether GUP improves glycemic control in T2D is unknown. This study aims to investigate the effects of GUP on glucose and lipid metabolism as well as the intestinal microbiota in HFD/STZ-induced T2D. The results demonstrated that GUP could significantly ameliorate hyperglycemia, insulin resistance, oxidative stress, and reduce liver lipid levels in T2D mice. Furthermore, it also enhanced the integrity of the intestinal barrier in T2D mice by reducing the levels of pro-inflammatory cytokines and serum LPS levels. Interestingly, GUP treatment significantly lowered serum creatinine and urea nitrogen levels, mitigating renal function deterioration and interstitial fibrosis. Additionally, GUP intervention increased the α diversity of gut microbiota, promoting beneficial species like Akkermansia, Lactobacillus, Romboutsia and Faecalibaculum, while decreasing harmful ones such as Bacteroides, Escherichia-Shigella, and Clostridium sensu stricto 1 in T2D mice. Overall, this study highlights the potential of GUP in alleviating complications and enhancing intestinal health in T2D mice, providing valuable insights into dietary strategies for diabetes control and overall health improvement.

A Cross-Sectional Observational Study to Assess the Efficacy of Triglyceride to High-Density Lipoprotein Ratio as a Marker of Insulin Resistance in Subjects of Central Rural India

INTRODUCTION

The rising prevalence of insulin resistance (IR), obesity, and its complications in India is due to lifestyle changes, eating patterns, stress, and genetic factors. Markers for IR are often expensive, invasive, or impractical for use in economically disadvantaged or remote areas. To address this, we evaluated the efficacy of the triglyceride to high-density lipoprotein (TG/HDL) ratio as a simple, reliable, accessible, and affordable surrogate marker of IR in comparison to the homeostatic model assessment for insulin resistance (HOMA-IR).

METHODS

This cross-sectional observational study was performed at a tertiary care center in central India and included 815 subjects aged 18 to 60 years after excluding those with systemic diseases, drugs affecting weight, or pregnant or lactating women. Descriptive and inferential statistical analysis was done to represent the study findings.

RESULTS

Males and obese subjects were more insulin resistant than females and non-obese subjects, respectively. The TG/HDL had a sensitivity of 91.81%, a specificity of 92.88%, a positive predictive value of 94.46%, and a negative predictive value of 89.56%, with a diagnostic accuracy of 92.27% when compared to HOMA-IR.

CONCLUSION

We concluded that TG/HDL serves as a simple, affordable, and accurate marker of IR in a diverse population of central India. There is a definite scope to use the same for large-scale screening, epidemiological research, and routine clinical practice.

Socioeconomic inequalities in type 2 diabetes mellitus: a study based on a population-based survey in Iran

BACKGROUND

Type 2 diabetes mellitus (T2DM) is the most prevalent form of Diabetes Mellitus (DM), with social and economic determinants significantly influencing its prevalence. This study aimed to analyze the socioeconomic inequalities associated with T2DM in Iran.

METHODS

Data from an observational survey in Iran, titled "Diabetes Care (DiaCare)," were utilized for this study. Socioeconomic inequalities were assessed through variables including Hemoglobin A1C (HbA1c), Fasting Blood Glucose (FBG), and Triple target (HbA1c, blood pressure, LDL-C), using concentration indices (CIs) and a multivariate logistic regression analysis. Individual socioeconomic status (SES) was determined by calculating an asset index using principle component analysis (PCA) based on their properties. Data analysis was conducted using STATA software version 14.

RESULTS

A total of 13,321 participants were included in the study. The CIs were significantly positive for controlled HbA1c (0.0324) and triple target (0.1067), while for controlled FBG, it was 0.0125, although not significant. Among females, the CIs were significantly positive for controlled HbA1c (0.0745), FBG (0.0367), and triple target (0.209). Additionally, in the 45-55 and 65-75 age groups, the CIs were significantly positive for controlled HbA1c (0.0607) and FBG (0.0708), respectively. This index was significant for controlled Triple target in the 35-45 (0.376) and 65-75 (0.124) age groups. The CI for controlled FBG was significant in rural dwellers (-0.044) while the concentration of controlled triple target was significant in urban dwellers (0.0967). Controlled HbA1c showed significant concentration in both urban (0.0306) and rural (-0.0576) dwellers. Furthermore, the CIs were significant for controlled HbA1c in regions with medium prevalence (0.0534) and FBG in regions with low prevalence (-0.0277). This index was significantly positive for controlled triple target in regions with high prevalence (0.124).

CONCLUSIONS

Diabetes care is more concentrated among individuals with higher SES. Policymakers should consider this to mitigate the inequality and alleviate the burden of T2DM.

Comparative Study on Efficacy of Empagliflozin Versus Sitagliptin, as an Add-on Therapy to Metformin in Type 2 Diabetic Patients

Introduction

More than 28.7 million individuals throughout the globe suffer from diabetes mellitus, with an estimated 11 percent of the population living with the condition in India. Changes in lifestyle and a variety of treatment plans are used in management. Metformin is a key drug for glycemic control, both when used alone and in combination. Our research compares the effectiveness of glycemic control achieved by empagliflozin plus sitagliptin.

Methods

This study took place from November 2022 to April 2023 at the tertiary care hospital. The study did not begin until the ethical review was completed. There were two groups of patients, A and B. Everyone received a daily dose of Metformin 1,000 milligrams. Sitagliptin (50 mg twice daily) was administered to individuals in Group A, whereas Empagliflozin (10 mg once daily) was given to those in Group B. After three months of therapy, HbA1c was used to compare the two groups' levels of glycemic control to those at the start of treatment. To do this, we employed a proforma. Version 25 of the Statistical Package for the Social Sciences (SPSS Inc., Chicago, USA) was used for the analysis.

Results

The average age of the 300 patients that participated in the trial was 42.33. There were 57.67% men and 42.33% females. "The mean reduction in HbA1c from baseline in Group A was -0.65 ± 0.11% and in Group B was -1.34 ± 0.13% with statistically significant P-value (P-value = 0.000)."

Conclusion

The combination of Empagliflozin and Metformin is superior to that of Sitagliptin and Metformin for the maintenance of glycemic control.

Prevalence and risk factors associated with undiagnosed diabetes in India: Insights from NFHS-5 national survey

Background

Undiagnosed diabetes is a significant public health concern in India, considering the accumulative burden of diabetes and its long-term complications. We have estimated the prevalence and factors associated with undiagnosed diabetes in India.

Methods

We used data from the fifth round of the National Family Health Survey (NFHS-5, 2019-21) to estimate undiagnosed diabetes prevalence aged under 50 (15-49) years. A log-binomial model with survey-adjusted Poisson regression was used to estimate the prevalence risk ratio (PR) between undiagnosed diabetes and various factors. Multinomial logistic regression analysis was performed to examine the factors associated with diagnosed diabetes (vs. healthy) and undiagnosed diabetes (vs. healthy). All the analyses were survey-weighted and stratified by gender and reported with 95% confidence intervals.

Results

The prevalence of diabetes for individuals aged 15-49 years was found to be 4.90% (4.80 to 5.00%) from the NFHS-5. Among them, the proportion of individuals with undiagnosed diabetes was 24.82% (24.07 to 25.59%), with higher among males (28.82% (26.45 to 31.30%)) than females (24.22% (23.44 to 25.01%)). The overall prevalence of undiagnosed diabetes was 1.22% (1.18 to 1.26%), with a higher prevalence among males (1.60% (1.46 to 1.76%)) than females (1.17% (1.13 to 1.21%)). Individuals who are middle-aged (45-49), have a higher body mass index (BMI), and are in a lower wealth index group, or live in the southern regions of India are at a higher risk of being undiagnosed for diabetes.

Conclusion

One in every four having diabetes is undiagnosed. The study highlights the need for public health interventions to improve diabetes screening and access to health care, particularly among middle-aged individuals, and those with higher BMI, as well as addressing lifestyle and dietary factors. The findings also reveal disparities in diabetes burden among population subgroups in India, underscoring the need for targeted efforts.

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 depression among elderly women in India-An intersectional analysis of the Longitudinal Ageing Study in India (LASI), 2017-2018

Epidemiological transition in India shows a shift in disease burden from youth to the elderly. As Life Expectancy increases, a greater burden is placed on the state, society, and families in India. Mental health disorders are insidious, debilitating Non-Communicable Diseases (NCDs) that afflict people, their families, and generations down the line. Globally, depression is the leading cause of mental health-related disability. It is estimated that mental illness contributes to 4.7% of Disability Adjusted Life Years (DALYs) in India. It is predicted that by 2026, the elderly's sex ratio will increase to 1,060 feminizing ageing. Research has shown that elderly women in developed countries like the United States are more prone to depression. Chronic morbidities are more common in women than in men, and they may suffer from poor vision, depression, impaired physical performance, and elder abuse. Mostly widowed, economically dependent, lacking proper food and clothing, fearing the future, and lacking proper care, they have difficulty coping with these health problems. There are surprisingly few studies on elderly female depression. Therefore, we want to hypothesize the prevalence of depression among women in different regions and demographic groups in India, and what factors may contribute to these differences. Using intersectional analysis with the data from Wave 1 (2017-2018) of the (Longitudinal Ageing Study in India) LASI (N = 16,737) we were able to explore the intersecting patterns between different variables and how people are positioned simultaneously and position themselves in different multiple categories based on the type of place of residence, age and level of education. Through the study we further aim to determine the prevalence of depression among elderly female in the age group of 60 in different states using the Chloropleth map. The findings of the study highlight the significance of the place of residence in the development of depression among elderly women, with the rural area being associated with a higher prevalence of depression compared to urban area. When compared to people with higher literacy, those with low literacy were significantly associated with depression. State-wise, there is a huge difference between the prevalence of elderly women depression in rural and urban areas. The study highlights the vulnerability of elderly women to depression. It is possible for the government to develop programs that address the needs of elderly women, both in urban and rural areas, to reduce depression. Multi-factor approaches to mental health, which consider age, literacy, and location, are essential. Programs targeting specific populations can be developed to address depression's root causes..