Prevalence of Type 2 Diabetes and Prediabetes in the Gwalior-Chambal Region of Central India

Role of Chlorhexidine and Herbal Oral Rinses in Managing Periodontitis

OBJECTIVE

The aim of this research was to assess the effect of 0.12% chlorhexidine (CHX) and a Salvadora persica-based mouthwash on whole salivary tumour necrosis factor-alpha (TNF-α) levels and periodontal inflammation in patients with type 2 diabetes mellitus (T2DM).

METHODS

Patients with and without medically diagnosed T2DM were included. Patients' medical records were evaluated to confirm the diagnosis of T2DM. All patients underwent nonsurgical periodontal therapy (NSPT). Patients were divided into 2 subgroups. In the test and control group, patients were advised to rinse with an S persica-based mouthwash and a non-alcoholic 0.12% CHX after NSPT twice daily for 2 weeks, respectively. Demographic data were collected. Full-mouth plaque index (PI), gingival index (GI), probing depth (PD), and clinical attachment loss (AL) were measured, and whole salivary TNF-α levels were gauged at baseline and at 3-month follow-up. Haemoglobin A1c (HbA1c) levels were measured in all patients at baseline and at 3-month follow-up. Sample size estimation was done, and group comparison was performed. Level of significance was set at P < .01.

RESULTS

Twenty-one nondiabetic individuals and 21 patients with T2DM were included. At baseline, there was no significant difference in clinical and radiographic periodontal parameters amongst in patients with and without T2DM. At 3-month follow-up, HbA1c, TNF-α, PI, PD, and clinical AL were comparable with their respective baseline values in the test and control groups amongst patients with T2DM. In nondiabetic individuals, there was a significant reduction in PI (P < .01), GI (P < .01), and PD (P < .01), and TNF-α (P < .01) at 3-month follow-up in the test and control groups compared with their respective baseline scores.

CONCLUSIONS

In the short term, NSPT with 0.12% CHX or S persica-based mouthwashes is more effective in reducing periodontal inflammation and whole salivary TNF-α levels in nondiabetic individuals than in patients with T2DM with periodontal inflammation.

Socio-economic inequalities in undiagnosed, untreated, and uncontrolled diabetes mellitus in Bangladesh: is there a gender difference?

OBJECTIVES

We aimed to determine: (1) the prevalence and socio-economic distribution of undiagnosed, untreated, and uncontrolled diabetes mellitus (DM); (2) the relationship between socio-economic status (SES) and undiagnosed, untreated, and uncontrolled DM; and (3) if this relationship is mediated by gender.

STUDY DESIGN

Cross-sectional nationally representative household-based survey.

METHODS

We used data from the Bangladesh Demographic Health Survey from 2017 to 18. Our findings were based on the responses of 12,144 individuals aged 18 years and older. As a measure of SES, we focused on standard of living (hereinafter referred to as wealth). The study's outcome variables were prevalence of total (diagnosed + undiagnosed), undiagnosed, untreated, and uncontrolled DM. We used three regression-based approaches-adjusted odds ratio, relative inequality index, and slope inequality index-to assess different aspects of SES differences in the prevalence of total, undiagnosed, untreated, and uncontrolled DM. We used logistic regression analysis to look at the adjusted association between SES and the outcomes after gender stratification to see whether gender status moderates the association between SES and the targeted outcomes.

RESULTS

In our sample analysis, the age-adjusted prevalence of total, undiagnosed, untreated, and uncontrolled DM was 9.1%, 61.4%, 64.7%, and 72.1%, respectively. Females had a higher prevalence of DM and undiagnosed, untreated, and uncontrolled DM than males. When compared to people in the poor SES group, people in the rich and middle SES groups had 2.60 times (95% confidence interval [CI] 2.05-3.29) and 1.47 times (95% CI 1.18-1.83) higher chance of developing DM. When compared to individuals in the poor SES group, those in the rich SES groups were 0.50 (95% CI 0.33-0.77) and 0.55 times (95% CI 0.36-0.85) less likely to have undiagnosed and untreated DM.

CONCLUSIONS

In Bangladesh, rich SES groups were more likely than poor SES groups to have DM, whereas poor SES groups with DM were less likely than rich SES groups to be aware of their disease and obtain treatment. The government and other concerned parties are urged by this study to pay more attention to developing suitable policy measures to reduce the risk of DM, particularly among rich SES groups, as well as targeted efforts to screen for and diagnose DM in socio-economically disadvantaged groups.

Gender discrepancies in predictors for newly onset cardiovascular events and metabolic syndrome in elderly patients from rural China

Objective

The study aimed to estimate the possible predictors of cardiovascular events (CVEs) in elderly patients with metabolic syndrome (MetS) from rural China. Moreover, we also attempted to find the potential risk factors for newly diagnosed MetS.

Methods

The Northeast China Rural Cardiovascular Health Study (NCRCHS) is a community-based prospective cohort study carried out in rural areas of northeast China. Approximately 1,059 elderly patients with MetS but no cardiovascular diseases and 1,565 elderly patients without MetS at baseline were enrolled in this study. They underwent a physical examination, completed a questionnaire in 2012-2013, and were followed up during 2015-2017. Cox proportional hazard analysis was conducted to assess the possible predictors of newly developed CVEs, and multivariate analysis was used to estimate the risk factors of newly diagnosed MetS.

Results

The common predictors of newly developed CVEs in both men and women were family history of stroke (HR [hazard ratios] _female: 1.696; HR _male: 2.504) and soybean consumption (HR _female: 0.253; HR _male: 0.130). Moreover, minority race (HR: 0.109), systolic blood pressure (SBP) (HR: 1.021), current drinking habits (HR: 2.551), family history of hypertension (HR: 2.297), LDL-C (HR: 1.669), 5,000-20,000 CNY/year annual income (HR: 0.290), and strenuous physical activity (HR: 0.397) were predictors of CVEs only in male elderly patients. For newly diagnosed MetS, body mass index (OR _female: 1.212; OR _male: 1.207) and fasting blood glucose (OR _female: 1.305; OR _male: 1.217) were common risk factors in both genders, whereas age (OR:0.958) was a protective factor in men and > 9-h/day sleep duration (OR:0.212) was a protective factor in women. In addition, SBP (OR:1.014) ≥4 times/day, bean consumption (OR:1.955), and uric acid (OR:1.005) increased the risk of MetS in men but not in women.

Conclusion

Our study identified many effective predictors of CVEs in rural elderly patients with MetS and confirmed the presence of a gender-based discrepancy. Moreover, we also identified additional risk factors, along with the traditional ones, for newly diagnosed MetS in rural elderly patients.

Health care delivery model in India with relevance to diabetes care

The Indian healthcare scenario presents a spectrum of contrasting landscapes. Socioeconomic factors, problems with medical infrastructure, insufficiency in the supply of medical requisites, economic disparities due to major differences in diabetes care delivery in the government and private sectors and difficulty in accessing quality health care facilities challenges effective diabetes care in India. The article gives insights into the practical solutions and the proposed White paper model to resolve major challenges faced by the Indian diabetes care sector for effective diabetes care delivered at Jothydev's Diabetes Educational Forum Global Diabetes Convention 2019.

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The prevalence of diabetes in India is on its rise.

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Socioeconomic factors, lack of diagnosis etc challenges Indian diabetes care system.

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Health care models appropriate for Indian scenario should be developed.

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Public-Private partnership is required for effective health care delivery.

Predicting the Risk of Incident Type 2 Diabetes Mellitus in Chinese Elderly Using Machine Learning Techniques

Early identification of individuals at high risk of diabetes is crucial for implementing early intervention strategies. However, algorithms specific to elderly Chinese adults are lacking. The aim of this study is to build effective prediction models based on machine learning (ML) for the risk of type 2 diabetes mellitus (T2DM) in Chinese elderly. A retrospective cohort study was conducted using the health screening data of adults older than 65 years in Wuhan, China from 2018 to 2020. With a strict data filtration, 127,031 records from the eligible participants were utilized. Overall, 8298 participants were diagnosed with incident T2DM during the 2-year follow-up (2019–2020). The dataset was randomly split into training set (n = 101,625) and test set (n = 25,406). We developed prediction models based on four ML algorithms: logistic regression (LR), decision tree (DT), random forest (RF), and extreme gradient boosting (XGBoost). Using LASSO regression, 21 prediction features were selected. The Random under-sampling (RUS) was applied to address the class imbalance, and the Shapley Additive Explanations (SHAP) was used to calculate and visualize feature importance. Model performance was evaluated by the area under the receiver operating characteristic curve (AUC), sensitivity, specificity, and accuracy. The XGBoost model achieved the best performance (AUC = 0.7805, sensitivity = 0.6452, specificity = 0.7577, accuracy = 0.7503). Fasting plasma glucose (FPG), education, exercise, gender, and waist circumference (WC) were the top five important predictors. This study showed that XGBoost model can be applied to screen individuals at high risk of T2DM in the early phrase, which has the strong potential for intelligent prevention and control of diabetes. The key features could also be useful for developing targeted diabetes prevention interventions.

The Prevalence of Diabetes, Prediabetes and Associated Risk Factors in Hangzhou, Zhejiang Province: A Community-Based Cross-Sectional Study

OBJECTIVE

Little information is available on the prevalence and associated risk factors of diabetes and prediabetes in the community located in Hangzhou city, Zhejiang Province, southeast China. This study aims to investigate the prevalence of adult diabetes and prediabetes and their associated risk factors among a community population in Hangzhou.

METHODS

A multistage sampling method was used in this study. Ten communities located in Shangcheng district of Hangzhou city were selected, and 3096 permanent residents (resident for ≥6 months) aged 18 years and above were enrolled into this study. Finally, a total of 2986 participants were included. A questionnaire interview and physical examination were conducted for all participants by trained investigators in a local medical center. Anthropometric measurements covered height, weight, waist circumference (WC) and blood pressure, while the blood tests included fasting blood glucose, an oral glucose tolerance test and fasting lipid profiles. The American Diabetes Association diabetes diagnosis criteria were used to discriminate among normal blood glucose, diabetes and prediabetes. The Rao-Scott adjusted χ ² test and complex sampling design-based unconditional multivariate logistic regression analysis were used to evaluate factors associated with diabetes and prediabetes. Descriptive and inferential statistics were calculated in Stata version 15. P-values <0.05 indicate statistical significance.

RESULTS

The overall prevalence of diabetes was 13.97%, of which 81.54% had prediagnosed diabetes and 18.46% were newly diagnosed with diabetes in the present study. The prevalence of prediabetes was 18.89%. Multivariable logistic regression analysis showed that age, education, once smoking, family history of diabetes, obesity, central obesity and hypertension were factors associated with diabetes, while age, smoking, drinking, central obesity and hypertension were significant factors related to prediabetes.

CONCLUSION

The prevalence of diabetes and prediabetes in adults in Hangzhou city remains high. Interventions aiming to modify risk factors such as drinking, obesity, central obesity and hypertension are urgently required.

Effect of Lockdown on Diabetes Care During the COVID-19 Pandemic: Result of a Telephone-Based Survey Among Patients Attending a Diabetic Clinic in Northern India

Background

The coronavirus disease 2019 (COVID-19) pandemic has aggravated the demand for diabetes care due to restrictive measures like the lockdown affecting access to healthcare services. The current study was conducted to assess the changes in medication compliance, dietary pattern, and glucose monitoring during the lockdown period as compared to the pre-lockdown period among patients living with type 2 diabetes mellitus (T2DM) attending a diabetes clinic in northern India.

Methods

This cross-sectional study was conducted between May and July 2020. Information regarding the sociodemographic and clinical profiles of the patients like age, sex, income, qualification, family history of diabetes, history of smoking and alcohol, type of treatment, co-morbidities, drug adherence for T2DM, changes in the pattern of diet, physical activity, blood glucose monitoring, and drug usage during and before the lockdown was collected through telephonic interviews using a structured tool. Descriptive analysis was performed, and the chi-square and Wilcoxon sign ranks tests were used to see the association between variables.

Results

A total of 260 patients were enrolled in the study. A higher proportion of males reported a decrease in the consumption of cereals (13.9%), eggs (56.5%), and meat and fish (92.7%) and an increase in water intake (25.8%) while a higher proportion of females reported no change in physical activity levels (77.2%) during the lockdown against pre-COVID times. There was a significant improvement in medication adherence and glycemic control during the lockdown period as compared to the pre-lockdown times.

Conclusion

More time for self-care, adequate counseling about glycemic goals, and knowledge of self-monitoring of blood glucose levels helped the majority of patients in adopting a healthy lifestyle and achieve better glycemic control during the COVID-19 lockdown.

Gender discrepancy in the predictive effect of metabolic syndrome and its components on newly onset cardiovascular disease in elderly from rural China

BACKGROUND

This study aimed to estimate whether metabolic syndrome (MetS) and its components could be used to predict cardiovascular disease (CVD) in a longitudinal analysis in a rural elderly Chinese population.

METHOD

At baseline during 2012-2013, a total of 2486 elderly from rural Chinese were enrolled and were followed up during 2015-2017. Stroke and coronary heart disease (CHD) were included in CVD and were diagnosed by clinicians. The National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III), the American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI) and the International Diabetes Federation (IDF) criteria were used to define MetS separately.

RESULT

Hazard ratios adjusting for CHD, stroke and CVD in those with MetS using the NCEP ATP III criteria in females were 1.27 (95 % CI 0.73, 2.21), 1.54 (95 % CI 0.99, 2.40) and 1.45 (95 % CI 1.00, 2.10), respectively; 1.33 (95 % CI 0.77, 2.32), 1.44 (95 % CI 0.92, 2.25) and 1.36 (95 % CI 0.94, 1.97), respectively, with the AHA/NHLBI criteria; and 1.10 (95 % CI 0.89,1.36), 1.62 (95 % CI 1.03, 2.55) and 1.36 (95 % CI 0.93, 1.97), respectively, with the IDF criteria. Additionally, abdominal obesity using the AHA/NHLBI criteria was significantly associated with the incidence of stroke (HR: 1.60; 95 % CI 1.01, 2.52). However, among rural elderly males, neither MetS nor its components predicted new-onset CVD.

CONCLUSIONS

MetS is correlated with high incidence of CVD among rural elderly female, and only using the NCEP ATP III criteria to define MetS could make the incidence of CVD obvious difference. In order to reduce rural elderly CVD, effective measures to prevent, diagnose, and treat MetS should be enacted in a timely manner, especially among females.

The Young Age and Plant-Based Diet Hypothesis for Low SARS-CoV-2 Infection and COVID-19 Pandemic in Sub-Saharan Africa

Since the outbreak of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that caused the coronavirus disease-19 (COVID-19), in December 2019, the infection has spread around the globe. Some of the risk factors include social distancing, mask wearing, hand washing with soap, obesity, diabetes, hypertension, asthma, cardiovascular disease, and dysbiosis. Evidence has shown the incidence of total infection and death rates to be lower in sub-Saharan Africa when compared with North Africa, Europe and North America and many other parts of the world. The higher the metabolic syndrome rate, the higher the risk of SARS-CoV-2 infection. Africa has a lower rate of metabolic syndrome risk than many other continents. This paradox has puzzled several in the biomedical and scientific communities. Published results of research have demonstrated the exciting correlation that the combination of young age of the population coupled with their native plant-based diet has lowered their risk factors. The plant-based diet include whole grains (millet, sorghum), legumes (black-eye peas, dry beans, soybean), vegetables, potato, sweet potato, yams, squash, banana, pumpkin seeds, and moringa leaves, and lower consumption of meat. The plant-based diet results in a different gut microbiota than of most of the rest of the world. This has a significant impact on the survival rate of other populations. The "plant-based diet" results in lower rates of obesity, diabetes and dysbiosis, which could contribute to lower and less severe infections. However, these hypotheses need to be supported by more clinical and biostatistics data.

Prevalence and trends of the diabetes epidemic in urban and rural India: A pooled systematic review and meta-analysis of 1.7 million adults

PURPOSE

India has experienced a recent sharp increase in diabetes/pre-diabetes. We conducted a systematic-review and meta-analyses to describe the most recent prevalence and trends of pre-diabetes/diabetes in urban and rural India.

METHODS

MethodsA literature search was conducted in PubMed and Scopus databases for population-based studies describing prevalence of diabetes/pre-diabetes in urban/rural populations. Trends were analysed in rural and urban settings overall, genderwise and statewise.

RESULTS

The study reports data from 1,778,706 adults in India (69-studies), from surveys conducted from 1972-2017. Prevalence of diabetes increased in both rural and urban India from 2.4% and 3.3% in 1972 to 15.0% and 19.0% respectively in year 2015-2019. This was independently observed in both genders. Similar increasing prevalence was observed for pre-diabetes, overall and in both genders. In the latest decade (2010-2019) rural and urban prevalence was highest in states of Goa (17.4%) and Tamil Nadu (24.0%) respectively. Statewise analysis observed a wide disparity in prevalence between the North and the South of India.

CONCLUSION

Pooled estimates show a relatively high burden of diabetes and pre-diabetes in rural and urban India, with narrowed urban-rural gap. Hence, it is important to plan urgent primary and secondary prevention strategies to minimize further increase in areas with high prevalence.

Epidemiology of Ischemic Heart Disease and Diabetes in South Asia: An Overview of the Twin Epidemic

BACKGROUND & OBJECTIVES

Ischemic heart disease (IHD) is one of the most important causes of death and disability in the world and diabetes is an important risk factor. This review was performed to describe the mortality and morbidity burden from this twin epidemic in South Asian countries.

METHODS

Country-level data on the epidemiology of IHD and diabetes were obtained from the Global Burden of Disease (GBD) study. Sub-national data were available only for India. We also retrieved epidemiological studies from published reviews on IHD and diabetes in India. These were supplemented with MEDLINE search.

RESULTS

GBD study and regional epidemiological studies have reported that there are significant regional variations in IHD mortality and disease burden within South Asian countries. IHD burden has increased significantly from 2000 to 2017. Prospective Urban Rural Epidemiology study has reported that diabetes is an important IHD risk factor in the South Asian region. GBD Study and International Diabetes Federation have reported increasing diabetes-related mortality and disease burden in South Asian countries, especially India. There are regional variations in diabetes-related mortality, disease burden, and prevalence in South Asia. At the macrolevel, rapid food and nutrition transition along with increasing physical inactivity is responsible for this twin epidemic.

CONCLUSION

Increasing trends in IHD and diabetes-related mortality and disease burden with regional variations are observed in South Asian countries.