To study the pattern and prevalence of dyslipidemia in a large representative sample of four selected regions in India.
Phase I of the Indian Council of Medical Research-India Diabetes (ICMR-INDIAB) ...study was conducted in a representative population of three states of India Tamil Nadu, Maharashtra and Jharkhand and one Union Territory Chandigarh, and covered a population of 213 million people using stratified multistage sampling design to recruit individuals ≥20 years of age. All the study subjects (n = 16,607) underwent anthropometric measurements and oral glucose tolerance tests were done using capillary blood (except in self-reported diabetes). In addition, in every 5th subject (n = 2042), a fasting venous sample was collected and assayed for lipids. Dyslipidemia was diagnosed using National Cholesterol Education Programme (NCEP) guidelines.
Of the subjects studied, 13.9% had hypercholesterolemia, 29.5% had hypertriglyceridemia, 72.3% had low HDL-C, 11.8% had high LDL-C levels and 79% had abnormalities in one of the lipid parameters. Regional disparity exists with the highest rates of hypercholesterolemia observed in Tamilnadu (18.3%), highest rates of hypertriglyceridemia in Chandigarh (38.6%), highest rates of low HDL-C in Jharkhand (76.8%) and highest rates of high LDL-C in Tamilnadu (15.8%). Except for low HDL-C and in the state of Maharashtra, in all other states, urban residents had the highest prevalence of lipid abnormalities compared to rural residents. Low HDL-C was the most common lipid abnormality (72.3%) in all the four regions studied; in 44.9% of subjects, it was present as an isolated abnormality. Common significant risk factors for dyslipidemia included obesity, diabetes, and dysglycemia.
The prevalence of dyslipidemia is very high in India, which calls for urgent lifestyle intervention strategies to prevent and manage this important cardiovascular risk factor.
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Neuropathy is often an associated feature woth long-standing type II diabetes mellitus. Neuropathy may occur even in subjects with impaired glucose tolerance.
To study the prevalence of neuropathy ...using different electrophysiological techniques in subjects with impaired glucose tolerance (IGT) and no other identifiable cause of neuropathy.
The study was conducted on 30 age-matched controls and 58 subjects with impaired oral glucose tolerance test (OGTT) attending diabetic awareness. Prediabetes was defined using World Health Organization (WHO) criteria. All subjects had normal glycosylated hemoglobin HbA (1c), vitamin B12 levels, and thyroid function. Neuropathy was evaluated by nerve conduction studies (NCS) performed on one upper and both lower limbs, dorsal sural nerve, medial and lateral planter nerve conductions using conventional techniques. Neuropathy was also evaluated by autononic function tests, and quantitative sensory testing (QST). The subjects were followed up for 4 years.
Out of 58 subjects, 19 (32.8%) had neuropathy. Nerve conduction studies showed evidence of neuropathy in 14 (24.13%) subjects, autonomic neuropathy was detected in 8 (13.8%), and QST was found to be abnormal in 16 (27.6%) subjects. Twenty subjects (34.5%) developed diabetes mellitus in the follow-up period.
Neuropathy was detected in 32.8% subjects with IGT. Small fiber neuropathy was most common. Of all the three parameters studied, QST was found to be most sensitive technique for the detection of neuropathy. Assessment of medial plantar and dorsal sural NCS increases the sensitivity in the detection of neuropathy.
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Previous studies have not adequately captured the heterogeneous nature of the diabetes epidemic in India. The aim of the ongoing national Indian Council of Medical Research-INdia DIABetes study is to ...estimate the national prevalence of diabetes and prediabetes in India by estimating the prevalence by state.
We used a stratified multistage design to obtain a community-based sample of 57 117 individuals aged 20 years or older. The sample population represented 14 of India's 28 states (eight from the mainland and six from the northeast of the country) and one union territory. States were sampled in a phased manner: phase I included Tamil Nadu, Chandigarh, Jharkhand, and Maharashtra, sampled between Nov 17, 2008, and April 16, 2010; phase II included Andhra Pradesh, Bihar, Gujarat, Karnataka, and Punjab, sampled between Sept 24, 2012, and July 26, 2013; and the northeastern phase included Assam, Mizoram, Arunachal Pradesh, Tripura, Manipur, and Meghalaya, with sampling done between Jan 5, 2012, and July 3, 2015. Capillary oral glucose tolerance tests were used to diagnose diabetes and prediabetes in accordance with WHO criteria. Our methods did not allow us to differentiate between type 1 and type 2 diabetes. The prevalence of diabetes in different states was assessed in relation to socioeconomic status (SES) of individuals and the per-capita gross domestic product (GDP) of each state. We used multiple logistic regression analysis to examine the association of various factors with the prevalence of diabetes and prediabetes.
The overall prevalence of diabetes in all 15 states of India was 7·3% (95% CI 7·0-7·5). The prevalence of diabetes varied from 4·3% in Bihar (95% CI 3·7-5·0) to 10·0% (8·7-11·2) in Punjab and was higher in urban areas (11·2%, 10·6-11·8) than in rural areas (5·2%, 4·9-5·4; p<0·0001) and higher in mainland states (8·3%, 7·9-8·7) than in the northeast (5·9%, 5·5-6·2; p<0·0001). Overall, 1862 (47·3%) of 3938 individuals identified as having diabetes had not been diagnosed previously. States with higher per-capita GDP seemed to have a higher prevalence of diabetes (eg, Chandigarh, which had the highest GDP of US$ 3433, had the highest prevalence of 13·6%, 12.8-15·2). In rural areas of all states, diabetes was more prevalent in individuals of higher SES. However, in urban areas of some of the more affluent states (Chandigarh, Maharashtra, and Tamil Nadu), diabetes prevalence was higher in people with lower SES. The overall prevalence of prediabetes in all 15 states was 10·3% (10·0-10·6). The prevalence of prediabetes varied from 6·0% (5·1-6·8) in Mizoram to 14·7% (13·6-15·9) in Tripura, and the prevalence of impaired fasting glucose was generally higher than the prevalence of impaired glucose tolerance. Age, male sex, obesity, hypertension, and family history of diabetes were independent risk factors for diabetes in both urban and rural areas.
There are large differences in diabetes prevalence between states in India. Our results show evidence of an epidemiological transition, with a higher prevalence of diabetes in low SES groups in the urban areas of the more economically developed states. The spread of diabetes to economically disadvantaged sections of society is a matter of great concern, warranting urgent preventive measures.
Indian Council of Medical Research and Department of Health Research, Ministry of Health and Family Welfare, Government of India.
Overweight and obesity are rapidly increasing in countries like India. This study was aimed at determining the prevalence of generalized, abdominal and combined obesity in urban and rural India.
...Phase I of the ICMR-INDIAB study was conducted in a representative population of three States Tamil Nadu (TN), Maharashtra (MH) and Jharkhand (JH) and one Union Territory (UT)Chandigarh (CH) of India. A stratified multi-stage sampling design was adopted and individuals ≥ 20 yr of age were included. WHO Asia Pacific guidelines were used to define overweight body mass index (BMI) ≥ 23 kg/m 2 but < 25 kg/m 2, generalized obesity (GO, BMI ≥ 25 kg/m 2, abdominal obesity (AO, waist circumference ≥ 90 cm for men and ≥ 80 cm for women) and combined obesity (CO, GO plus AO). Of the 14,277 participants, 13,800 subjects (response rate, 96.7%) were included for the analysis (urban: n = 4,063; rural: n = 9737).
The prevalence of GO was 24.6, 16.6, 11.8 and 31.3 per cent among residents of TN, MH, JH and CH, while the prevalence of AO was 26.6, 18.7, 16.9 and 36.1 per cent, respectively. CO was present in 19.3, 13.0, 9.8 and 26.6 per cent of the TN, MH, JH and CH population. The prevalence of GO, AO and CO were significantly higher among urban residents compared to rural residents in all the four regions studied. The prevalence of overweight was 15.2, 11.3, 7.8 and 15.9 per cent among residents of TN, MH, JH and CH, respectively. Multiple logistic regression analysis showed that female gender, hypertension, diabetes, higher socio-economic status, physical inactivity and urban residence were significantly associated with GO, AO and CO in all the four regions studied. Age was significantly associated with AO and CO, but not with GO.
Prevalence of AO as well as of GO were high in India. Extrapolated to the whole country, 135, 153 and 107 million individuals will have GO, AO and CO, respectively. However, these figures have been estimated from three States and one UT of India and the results may be viewed in this light.
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Background: With increased awareness of type 2 diabetes (T2D) in children and adolescents, an overview of country-specific differences in epidemiology data is needed to develop a global picture of ...the disease development. Summary: This study examined country-specific prevalence and incidence data of youth-onset T2D published between 2008 and 2019, and searched for national guidelines to expand the understanding of country-specific similarities and differences. Of the 1,190 articles and 17 congress abstracts identified, 58 were included in this review. Our search found the highest reported prevalence rates of youth-onset T2D in China (520 cases/100,000 people) and the USA (212 cases/100,000) and lowest in Denmark (0.6 cases/100,000) and Ireland (1.2 cases/100,000). However, the highest incidence rates were reported in Taiwan (63 cases/100,000) and the UK (33.2 cases/100,000), with the lowest in Fiji (0.43 cases/100,000) and Austria (0.6 cases/100,000). These differences in epidemiology data may be partly explained by variations in the diagnostic criteria used within studies, screening recommendations within national guidelines and race/ethnicity within countries. Key Messages: Our study suggests that published country-specific epidemiology data for youth-onset T2D are varied and scant, and often with reporting inconsistencies. Finding optimal diagnostic criteria and screening strategies for this disease should be of high interest to every country. Trial Registration: Not applicable.
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Background: With the recent increased awareness of youth-onset type 2 diabetes (T2D) cases, an overview of national differences in epidemiology data is needed to obtain a global picture of the ...disease development.
Methods and Aim: This review examined national epidemiology data of youth-onset T2D published between 1st January 2008 and 15th January 2018, and searched for national guidelines on this topic to understand better national similarities and differences.
Results: Of the 1005 articles and 14 congress abstracts identified, 42 studies were included. The highest reported prevalence rates of youth-onset T2D were found in the U.S. and China (38 and 18 cases/100,000 people, respectively), and lowest in Denmark and Ireland (0.6 and 1.2 cases/100,000 people, respectively) (Figure). However, the highest incidence rates were reported in Taiwan and the UK (63 and 33 cases/100,000 people, respectively), with the lowest in Fiji and Austria (0.4 and 0.6 cases/100,000 people, respectively) (Figure). These differences may be partly explained by variations in diagnostic criteria, national screening recommendations, and ethnicity within countries.
Conclusions: Our review suggests that published national epidemiology data for youth-onset T2D may underestimate its disease burden. Finding optimal diagnostic criteria and screening strategies for this disease should be of high interest to every country.
Disclosure
J.L. Lynch: Board Member; Self; American Academy of Pediatrics. Consultant; Self; Novo Nordisk Inc. Research Support; Self; Daiichi Sankyo Company, Limited, National Institutes of Health, Novo Nordisk Inc., Pediatric Diabetes Consortium. M. Barrientos-Pérez: Advisory Panel; Self; Novo Nordisk A/S. Research Support; Self; Eli Lilly and Company, Novo Nordisk A/S, Sanofi. Speaker's Bureau; Self; Pfizer Inc. M. Hafez: Advisory Panel; Self; Merck & Co., Inc. Consultant; Self; Global Expert Panel for T2 diabetes. M. Jalaludin: Advisory Panel; Self; Merck Sharp & Dohme Corp., Novo Nordisk A/S. Research Support; Self; Merck Sharp & Dohme Corp., Novo Nordisk A/S. M. Kovarenko: Advisory Panel; Self; Novo Nordisk Pediatric Type 2 Diabetes Global Expert Panel. Speaker's Bureau; Self; Berlin-Chemie AG, LifeScan, Inc., Medtronic, Novo Nordisk A/S, Sanofi. V. Paturi: Advisory Panel; Self; Novo Nordisk Foundation. Board Member; Spouse/Partner; DiabetOmics Inc., DiabetOmics Inc. Board Member; Self; DiabetOmics Medical. Consultant; Self; Ramdevrao Hospital. Employee; Self; DiabetOmics Medical. Research Support; Self; Eli Lilly and Company, Hetero Pharma, Ipca Laboratories Ltd., IQVIA, Novo Nordisk A/S, Quintiles, RSSDI (Research Society for the Study of Diabetes in India), Sanofi. Speaker's Bureau; Self; Novo Nordisk A/S. Stock/Shareholder; Self; DiabetOmics Inc. D. Weghuber: Advisory Panel; Self; Novo Nordisk A/S. Speaker's Bureau; Self; Johnson & Johnson.
Funding
Novo Nordisk A/S
This study estimated the levels of glycemic control among subjects with self-reported diabetes in urban and rural areas of four regions in India.
Phase I of the Indian Council of Medical ...Research-India Diabetes (ICMR-INDIAB) Study was conducted in a representative population of three states of India (Tamil Nadu, Maharashtra, and Jharkhand) and one Union Territory (Chandigarh) and covering a population of 213 million people. Using a stratified multistage sampling design, individuals ≥20 years of age were recruited. Glycemic control among subjects with self-reported diabetes was assessed by measurement of glycated hemoglobin (HbA1c), estimated by the Variant™ II Turbo method (Bio-Rad, Hercules, CA).
Among the 14,277 participants in Phase I of INDIAB, there were 480 subjects with self-reported diabetes (254 urban and 226 rural). The mean HbA1c levels were highest in Chandigarh (9.1±2.3%), followed by Tamil Nadu (8.2±2.0%), Jharkhand (8.2±2.4%), and Maharashtra (8.0±2.1%). Good glycemic control (HbA1c <7%) was observed only in 31.1% of urban and 30.8% of rural subjects. Only 22.4% of urban and 15.4% of rural subjects had reported having checked their HbA1c in the past year. Multiple logistic regression analysis revealed younger age, duration of diabetes, insulin use, and high triglyceride levels to be significantly associated with poor glycemic control.
The level of glycemic control among subjects with self-reported diabetes in India is poor. Urgent action is needed to remedy the situation.
Previous studies of type 1 diabetes in childhood and adolescence have found large variations in reported incidence around the world. However, it is unclear whether these reported incidence levels are ...impacted by differences in country health systems and possible underdiagnosis and if so, to what degree. The aim of this study was to estimate both the total and diagnosed incidence of type 1 diabetes globally and to project childhood type 1 diabetes incidence indicators from 1990 to 2050 for each country.
We developed the type 1 diabetes global microsimulation model to simulate the natural history and diagnosis of type 1 diabetes for children and adolescents (aged 0-19 years) in 200 countries and territories, accounting for variability in underlying incidence and health system performance. The model follows an open population of children and adolescents in monthly intervals and simulates type 1 diabetes incidence and progression, as well as health system factors which influence diagnosis. We calibrated the model to published data on type 1 diabetes incidence, autoantibody profiles, and proportion of cases diagnosed with diabetic ketoacidosis from 1990 to 2020 and assessed the predictive accuracy using a randomly sampled test set of data withheld from calibration.
We estimate that in 2021 there were 355 900 (95% UI 334 200-377 300) total new cases of type 1 diabetes globally among children and adolescents, of which 56% (200 400 cases, 95% UI 180 600-219 500) were diagnosed. Estimated underdiagnosis varies substantially by region, with over 95% of new cases diagnosed in Australia and New Zealand, western and northern Europe, and North America, but less than 35% of new cases diagnosed in west Africa, south and southeastern Asia, and Melanesia. The total number of incident childhood cases of type 1 diabetes is projected to increase to 476 700 (95% UI 449 500-504 300) in 2050.
Our research indicates that the total global incidence of childhood and adolescent type 1 diabetes is larger than previously estimated, with nearly one-in-two children currently undiagnosed. Policymakers should plan for adequate diagnostic and medical capacity to improve timely type 1 diabetes detection and treatment, particularly as incidence is projected to increase worldwide, with highest numbers of new cases in Africa.
Novo Nordisk.
Currently available estimates of diabetes prevalence in India are based on published data derived from very few studies. The Indian Council of Medical Research-India Diabetes (ICMR-INDIAB) study is a ...community-based survey conceived with the aim of obtaining the prevalence rates of diabetes in India as a whole, covering all 28 states, the National Capital Territory of Delhi, and two of the union territories in the mainland of India, with a total sample size of 124,000 individuals.
A stratified multistage sampling design has been used. In all study subjects, a structured questionnaire was administered and anthropometric parameters and blood pressure were measured. Fasting capillary blood glucose was first determined using a glucose meter. An oral glucose load was then administered to all subjects except those with self-reported diabetes, and the 2 h post-load capillary blood glucose was estimated. In every fifth subject, a fasting venous sample was collected for measurement of lipids and creatinine, a resting 12-lead electrocardiogram was performed, and dietary assessment questionnaire was administered. In all diabetic subjects, an additional diabetes questionnaire was used and a fasting venous sample drawn for glycated hemoglobin.
All biological samples collected were analyzed in a central laboratory. All data collected were stored electronically. Quality control was achieved through multiple tiers of checks.
The ICMR-INDIAB study is the first of its kind attempting to provide accurate and comprehensive state- and national-level data on diabetes prevalence in India.
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