The Deadly Duo of Hypertension and Diabetes in India: Further Affirmation from a New Epidemiological Study.

INTRODUCTION: Hypertension is highly prevalent in patients with type II diabetes mellitus. India has some of the highest rates of diabetes and hypertension worldwide, but there is a lack of local data on the coexistence of these two risk factors. This study determined the prevalence of hypertension in patients with, or at high risk of, type II diabetes mellitus from across India. METHODS: Data came from a nationwide trial evaluating the effects of yoga-based lifestyle modification for the prevention/management of type II diabetes. Participants were recruited based on randomized house-to-house screening in urban and rural areas from 65 districts of 29 states/union territories. Eligible individuals were aged 20-80 years and had diabetes or were at high risk of diabetes (IDRS ≥ 60). Anthropometric and demographic data were obtained, and resting blood pressure and blood glucose levels were recorded. RESULTS: This analysis included data from 14,135 individuals. Of these, 25% had self-reported diabetes, 19% were diagnosed with diabetes during the trial, and 26.8% were at high risk for type II diabetes. In these three patient groups, hypertension prevalence rates were 58%, 41.0%, and 35.8%, respectively. The prevalence of hypertension was highest in the North East region and lowest in the North West. CONCLUSION: The high prevalence of hypertension in patients with, or at risk of diabetes, highlights the urgent need for policies to manage this population, who are at high risk of cardiovascular disease and death.

A Prospective Study on Type-2 Diabetic Complications and Efficacy of Integrated Yoga: A Pan India 2017.

BACKGROUND: Type 2 diabetes (T2DM) contributes to high mortality and morbidity because of its major complications related to kidney, heart, brain, and eyes. It also poses a high risk for mortality because of COVID-19. Studies suggest the possible implications of Yoga in delaying or attenuating such complications. METHODOLOGY: This was a pan-India multi centered cluster-randomized (4 level) two-armed trial in the rural and urban population of all populous states of India. Data were obtained using mobile app in all adults in the household of the selected clusters. RESULTS: We report the diabetes related complications in 16623 adults (48% males, 52% females) from 65 districts (1 in 10 districts, 2011 census) of 29 (out of 35) states and Union Territories of India; mean age was 48.2 ± 12.46 years. Out of this 40% lived in rural and 62% in urban locations. In high risk diabetes individuals (scored ≥ 60 points on Indian diabetes risk score key), 18.0% had self-reported history of (peripheral neuropathy, 6.1% had h/o major strokes, 5.5% had minor strokes (transient ischemic episodes), 18.1% had lower limb claudication, 20.5% leg ulcers, 4.4% had h/o cardiac surgery, 4.8% angioplasty, and 15.1% had diabetes retinopathy. Complications were higher in rural than in urban areas, higher in people with extended duration of diabetes. Integrated yoga module for three months (one hour daily) showed significantly better reduction in symptoms related to complications as compared to control group (P < .001). CONCLUSION: The alarming high prevalence of complications in diabetes population calls for urgent action, where yoga may show the benefits in reduction of symptoms of complications.

Content Validity of an Integrated Yoga Module for Practice During Remission in Relapsing-Remitting Multiple Sclerosis Patients.

BACKGROUND: Some investigations point to the beneficial effects of yoga in alleviating the motor and cognitive dysfunctions in multiple sclerosis (MS) patients by using varying combinations of physical, breathing, and meditative practices of yoga. There is a need for a validated yoga module with a holistic approach that can be used as a standardized protocol by researchers and therapists. PURPOSE: To develop and validate an integrated yoga module for practice in relapsing-remitting MS patients to improve their quality of life. METHODS: We did a thorough review of the literature for the development of the yoga module. We formed an expert group with 24 experts and a neurologist and used two rounds of interactive Delphi method to combine their opinion to obtain content validity of the module through online structured questionnaire prepared for the purpose on a Google Form. We incorporated all suggestions obtained by the experts. The final module (60 min per session, twice a day, five days per week) included warm-up exercises, customized asanas, relaxation techniques, and OM meditation. Advice on yogic diet and discussion using yogic concepts for stress management also form a part of the holistic approach to yoga lifestyle modification. RESULTS: Analysis divulged that 30 out of 39 practices exhibited a content validity ratio value greater than or equal to 0.42. CONCLUSION: The study has shown good content validity of the integrated yoga module. Future clinical studies are being planned to rule the feasibility and reliability of this module.

Effectiveness of Yoga Lifestyle on Lipid Metabolism in a Vulnerable Population-A Community Based Multicenter Randomized Controlled Trial.

Background: Dyslipidemia poses a high risk for cardiovascular disease and stroke in Type 2 diabetes (T2DM). There are no studies on the impact of a validated integrated yoga lifestyle protocol on lipid profiles in a high-risk diabetes population. Methods: Here, we report the results of lipid profile values of 11,254 (yoga 5932 and control 5322) adults (20-70 years) of both genders with high risk (≥60 on Indian diabetes risk score) for diabetes from a nationwide rural and urban community-based two group (yoga and conventional management) cluster randomized controlled trial. The yoga group practiced a validated integrated yoga lifestyle protocol (DYP) in nine day camps followed by daily one-hour practice. Biochemical profiling included glycated hemoglobin and lipid profiles before and after three months. Results: There was a significant difference between groups (p < 0.001 ANCOVA) with improved serum total cholesterol, triglycerides, low-density lipoprotein, and high-density lipoprotein in the yoga group compared to the control group. Further, the regulatory effect of yoga was noted with a significant decrease or increase in those with high or low values of lipids, respectively, with marginal or no change in those within the normal range. Conclusion: Yoga lifestyle improves and regulates (lowered if high, increased if low) the blood lipid levels in both genders of prediabetic and diabetic individuals in both rural and urban Indian communities.

Prospective Study of Different Staple Diets of Diabetic Indian Population.

Background: Diabetes is a metabolic disorder characterized by chronic hyperglycemia. Its prevention and regulation depends on dietary pattern and lifestyle. There are numerous studies which have been conducted to elucidate the relationship between type of diet consumption and sugar levels. The objective of this study was to enumerate the distribution of the staple food consumed in seven zones across India and their association with sugar levels. Methods: A pan-India multicentered screening, covering the 63 districts, 29 states, and 4 union territories per populations, was undertaken. A specially designed questionnaire was administered for data collection, which comprised specific questions for diet 17,280 sample was analyzed across seven zones of India. Statistical Package for the Social Sciences (SPSS; 21.0) software was used to analyze the data. Results: The survey suggested that rice and wheat are the major staple food consumed across different regions of India. In Jammu, North, East, South, and central zones, consumption of rice was more than wheat. However, in North and West zones, consumption of wheat was observed to be more than rice. Mean values of fasting blood sugar (FBS), postprandial blood sugar (PPBS) were high in the group consuming Bajra (128.3 & 160.5). Similarly, FBS mean was less in group consuming rice (114.6), and PPBS was low in group consuming ragi (149.2). Conclusion: Staple food has significant effect on FBS, PPBS and glycated haemoglobin cholesterol levels and anthropometric measurements.

A composite of BMI and waist circumference may be a better obesity metric in Indians with high risk for type 2 diabetes: An analysis of NMB-2017, a nationwide cross-sectional study.

AIMS: Obesity measurement is a vital component of most type 2 diabetes screening tests; while studies had shown that waist circumference (WC) is a better predictor in South Asians, there is evidence that BMI is also effective. Our objective was to evaluate the efficacy of BMIWC, a composite measure, against BMI and WC. METHODS: Using data from a nationwide randomized cluster sample survey (NMB-2017), we analyzed 7496 adults at high risk for type 2 diabetes. WC, BMI, and BMIWC were evaluated using Odds Ratio (OR), and Classification scores (Sensitivity, Specificity, and Accuracy). These were validated using Indian Diabetes Risk Score (IDRS) by replacing WC with BMI and BMIWC, and calculating Sensitivity, Specificity, and Accuracy. RESULTS: BMIWC had higher OR (2·300) compared to WC (1·87) and BMI (2·26). WC, BMI, and BMIWC were all highly Sensitive (0·75, 0·81, 0·70 resp.). But BMIWC had significantly higher Specificity (0.36) when compared to WC and BMI (0.27 each). IDRSWC, IDRSBMI, and IDRSBMIWC were all highly Sensitive (0·87, 0·88, 0·82 resp.). But IDRSBMIWC had significantly higher Specificity (0·39) compared to IDRSWC and IDRSBMI (0·30, 0·31 resp.). CONCLUSIONS: Both WC and BMI are good predictors of risk for T2DM, but BMIWC is a better predictor, with higher Specificity; this may indicate that Indians with high values of both central (high WC) and general (BMI > 23) obesity carry higher risk for type 2 diabetes than either one in isolation. Using BMIWC in IDRS improves its performance on Accuracy and Specificity.

Prevalence of Obesity in India and Its Neurological Implications: A Multifactor Analysis of a Nationwide Cross-Sectional Study.

BACKGROUND: India is undergoing a rapid epidemiological transition, from underweight to overweight/obese population. Obesity is a major risk factor in type 2 diabetes and cardiovascular diseases, and is also implicated as a factor in neurological diseases such as Alzheimer's disease. A robust, pan-Indian estimate of obesity is not yet available. PURPOSE: This study estimates the pan-Indian prevalence of obesity, stratified across nonmodifiable (age and gender) and modifiable (education and physical activity levels) factors, and across zones and urban/rural. METHODOLOGY: Data for 1,00,531 adults from a nationwide randomized cluster sample survey (Niyantrita Madhumeha Bharata 2017, phase 1) were analyzed. Obesity was determined using body mass index, and cross-tabulations were calculated across zones, age, gender, education, physical activity, and area. To determine statistical significance, t-tests were used. The odds of obesity within each category of the various factors were calculated using binary logistic regression. RESULTS: Prevalence of obesity in India is 40.3%. Zonal variations were seen as follows: south highest at 46.51% and east lowest at 32.96%. Obesity was higher among women than men (41.88% vs. 38.67%), urban than rural (44.17% vs. 36.08%), and over 40 than under 40 (45.81% vs. 34.58%). More education implied a higher obesity (44.6% college vs. 38% uneducated), as did lowered physical activity (43.71% inactive vs. 32.56% vigorously active). The odds ratio for physical activity was 3.83, stronger than age (1.58), education (1.4), urban (1.3), and gender (1.2). CONCLUSION: Obesity levels in India are very high, across all zones. The odds of being obese increases with age, and is higher among women and among urban dwellers. Obesity is the highest among aging urban men and women who are college educated and are sedentary. Physical activity and aging are the strongest determinants of obesity. Given the high cost of obesity in terms of type 2 diabetes, cardiovascular diseases, and Alzheimer's disease, urgent public health measures are necessary to reduce its impact.

Is the Indian Dietary Pattern Associated WithType 2 Diabetes? A Pan-India Randomized Cluster Sample Study.

BACKGROUND: Diabetes is associated strongly with many neurodegenerative diseases and is also a lifestyle disorder. A good glycemic status depends on diet management and physical activity. There are several studies available on the relationship between diet habits and impact on diabetes. PURPOSE: The objective of this study was to check the association of different dietary factors with glucose levels and lipid values in type 2 diabetes from a part of a large nationwide trial. METHODS: This was the data fromapan-India multicentered cluster randomized controlled study covering 60 states and 4 union territories; 17,285 individuals were surveyed for dietary factors. Amongst them, data of 12,500 individuals were analyzed.Males were 54% and 60% individuals were from urban areas. RESULTS: The analysis of the results showed that consumption (usual/often) of milk(odds ratio, OR = 7.180), meat (OR = 6.81), less fiber (OR = 17.77), and less fruits (OR = 14.71) was strongly and positively associated with fasting blood glucose (P<.001). The postprandial blood glucose (PPBG) in diabetes individuals also had a strong positive association (P<.001) with consumption (usual/often) of meat (OR = 22.82) and milk (OR = 17.19). In prediabetes individuals, milk was significantly (P<.001) associated with fasting blood glucose (OR = 2.74). In nondiabetes individuals also, milk was significantly associated with postprandial blood glucose (OR = 2.56). Consumption of meat was associated with high cholesterol (OR = 1.465).Consumption of junk food was associated significantly (P <.001)with the status of known diabetes (OR = 1.345) and known hypertension (OR = 1.247). CONCLUSION: Consumption of milk, meat, less vegetables, less fruits, and junk food has a significant effect on the glycemic status and cholesterol levels, and also on the status of known diabetes and hypertension.

Cost of Management of Diabetes Mellitus: A Pan India Study.

BACKGROUND: Diabetes mellitus is a major noncommunicable disease. While mortality rates are increasing, the costs of managing the disease are also increasing. The all-India average monthly expenditure per person (pppm) is reported to be ₹ 1,098.25, which translates to an annual expenditure of ₹13,179 per person. PURPOSE: While a number of studies have gone into the aspect of the cost of disease management, we do not find any study which has pan-India reach. We also do not find studies that focus on differences (if any) between rural and urban areas, age or on the basis of gender. We planned to report the cost of illness (COI) in diabetes individuals as compared to others from the data of a pan-India trial. METHODS: Government of India commissioned the Indian Yoga Association to study the prevalence of diabetes mellitus in India in 2017. As part of the questionnaire, the cost of treatment was also captured. Data collected from 25 states and union territories were analyzed using the analysis of covriance (ANCOVA) test on SPSS version 21. RESULTS: There was a significant difference (P < .05) between the average expenses per person per month (pppm) of individuals with self-reported known diabetes (₹1,357.65 pppm) and others (unknown and/or nondiabetes individuals-₹ 999.91 pppm). Similarly, there was a significant difference between rural (₹2,893 pppm) and urban (₹4,162 pppm) participants and between those below (₹1,996 pppm) and above 40 years (₹5,059 pppm) of age. CONCLUSION: This preliminary report has shown that the COI because of diabetes is significantly higher than others pointing to an urgent need to promote disease-preventive measures.

Sleep Disorders in Individuals With High Risk for Diabetes in Indian Population.

BACKGROUND: Sleep restores physiology and neurochemical components of our body and is essential for physical and mental health. Sleep disorders (SDs) are associated with insulin resistance and metabolic disorders. The association between SDs and diabetes needs to be understood in the Indian population. PURPOSE: The purpose was to investigate the association between SD and diabetes in the Indian population. METHODS: As a part of nationwide Niyantrita Madhumeha Bharata Abhiyaan-2017 (NMB-2017), a cross-sectional study was conducted and data was collected from seven zones of India, after screening through the Indian Diabetes Risk Score (IDRS). The sleep quality was assessed on a scale of 1 to 4 (very good = 1, very bad = 4). The time taken to fall asleep (sleep latency) was assessed on a scale of 0 to 5 ("0" = nil and "5" = >1.5 h). Stress was assessed by the perceived stress scale. RESULTS: Bad sleep quality was positively (odds ratio 1.055, CI [1.001, 1.113], and P < .01) associated with self-reported known diabetes. Increased time taken to fall in sleep (sleep latency) was associated significantly with IDRS high risk (odds ratio 1.085, CI [1.008, 1.168], and P = .01), with an average sleep latency /time takes to fall in sleep (maximum range 5 [>1.5 h], mode 2 [10 to 30 min]) minutes. Moderate stress was significantly associated with bad sleep quality (odds ratio 1.659). CONCLUSION: A positive association of bad sleep quality and stress with diabetes, and an increased sleep latency in the IDRS high-risk population point to the role of modifiable risk factors. Behavioral modification and stress reduction by using yoga may be beneficial in the better management of diabetes.

Physical Activity Patterns in India Stratified by Zones, Age, Region, BMI and Implications for COVID-19: A Nationwide Study.

RATIONALE: India has a high prevalence of noncommunicable diseases (NCDs), which can be lowered by regular physical activity. To understand this association, recent population data is required which is representative of all the states and union territories of the country. OBJECTIVE: We aimed to investigate the patterns of physical activity in India, stratified by zones, body mass index (BMI), urban, rural areas, and gender. METHOD: We present the analysis of physical activity status from the data collected during the phase 1 of a pan-India study. This (Niyantrita Madhumeha Bharata 2017) was a multicenter pan-India cluster sampled trial with dual objectives. A survey to identify all individuals at a high risk for diabetes, using a validated instrument called the Indian Diabetes Risk Score (IDRS), was followed by a two-armed randomized yoga-based lifestyle intervention for the primary prevention of diabetes. The physical activity was scored as per IDRS (vigorous exercise or strenuous at work = 0, moderate exercise at home/work = 10, mild exercise at home/work = 20, no exercise = 30). This was done in a selected cluster using a mobile application. A weighted prevalence was calculated based on the nonresponse rate and design weight. RESULTS: We analyzed the data from 2,33,805 individuals; the mean age was 41.4 years (SD 13.4). Of these, 50.6% were females and 49.4% were males; 45.8% were from rural areas and 54% from urban areas. The BMI was 24.7 ± 4.6 kg/m2. Briefly, 20% were physically inactive and 57% of the people were either inactive or mildly active. 21.2% of females were found physically inactive, whereas 19.2% of males were inactive. Individuals living in urban localities were proportionately more inactive (21.7% vs. 18.8%) or mildly active (38.9% vs. 34.8%) than the rural people. Individuals from the central (29.6%) and south zones (28.6%) of the country were also relatively inactive, in contrast to those from the northwest zone (14.2%). The known diabetics were found to be physically inactive (28.3% vs. 19.8%) when compared with those unaware of their diabetic status. CONCLUSION: 20% and 37% of the population in India are not active or mildly active, respectively, and thus 57% of the surveyed population do not meet the physical activity regimen recommended by the World Health Organization. This puts a large Indian population at risk of developing various NCDs, which are being increasingly reported to be vulnerable to COVID-19 infections. India needs to adopt the four strategic objectives recommended by the World Health Organization for reducing the prevalence of physical inactivity.

Depression in High-Risk Type 2 Diabetes Adults.

BACKGROUND: Patients suffering from diabetes mellitus are two to three times more vulnerable to develop depressive symptomatology. PURPOSE: To report the association between depression and high-risk diabetes in India. METHODS: A total of 1,606 adults were recruited for the study. A patient health questionnaire was used to determine the depression on the basis of score. A statistical analysis was done using analysis of covariance (ANCOVA) and binary logistic regression to determine the association between diabetes categories and four degrees of depression. RESULTS: Out of 1,606 participants, 52.6% were males and 47.4% were females, 56.4% belonged to the urban area and 43.6% to the rural area. However, 19.5% (314) had diabetes; 29.1% of diabetes individuals had minimal depression, 38.7% had mild, 17.2% moderate, 12.0% moderately severe, and 3.1% had severe depression. In the self-reported diabetic participant group (N = 142), there was a significantly higher degree of severe depression (3.3%) in the uncontrolled group (HbA1c >7%) as compared to the well-controlled diabetes group (HbA1c <7%). ANCOVA in gender differences in the uncontrolled diabetes group showed that male gender had significantly (P = -.02) higher mean scores of depression. CONCLUSION: This study found that there is a positive association between depression and uncontrolled diabetes in male gender.