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1. Policy implementation and recommended actions to create healthy food environments using the Healthy Food Environment Policy Index (Food-EPI): a comparative analysis in South AsiaResearch in context

Author: Elisa Pineda, Petya Atanasova, Nalinda Tharanga Wellappuli, Dian Kusuma, Himali Herath, Alexa Blair Segal, Stefanie Vandevijvere, Ranjit Mohan Anjana, Abu Ahmed Shamim, Saira Afzal, Fahmida Akter, Faiza Aziz, Ananya Gupta, Abu Abdullah Hanif, Mehedi Hasan, Renuka Jayatissa, Sujeet Jha, Vinitaa Jha, Prasad Katulanda, Khadija Irfan Khawaja, Balachandran Kumarendran, Menka Loomba, Sara Mahmood, Malay Kanthi Mridha, Rajendra Pradeepa, Garudam Raveendiran Aarthi, Akansha Tyagi, Anuradhani Kasturiratne, Franco Sassi, and Marisa Miraldo
Subjects: South Asia, Food policy, Policy monitoring, Food environment, Policy mapping, Public health policy, Public aspects of medicine, RA1-1270
Abstract: Summary: Background: The increasing prevalence of diet-related non-communicable diseases (NCDs) in South Asia is concerning, with type 2 diabetes projected to rise to 68%, compared to the global increase of 44%. Encouraging healthy diets requires stronger policies for healthier food environments. Methods: This study reviewed and assessed food environment policies in Bangladesh, India, Pakistan, and Sri Lanka from 2020 to 2022 using the Healthy Food Environment Policy Index (Food-EPI) and compared them with global best practices. Seven policy domains and six infrastructure support domains were considered, employing 47 good practice indicators to prevent NCDs. Stakeholders from government and non-governmental sectors in South Asia (n = 148) were invited to assess policy and infrastructure support implementation using the Delphi method. Findings: Implementation of food environment policies and infrastructure support in these countries was predominantly weak. Labelling, monitoring, and leadership policies received a moderate rating, with a focus on food safety, hygiene, and quality rather than obesity prevention. Key policy gaps prioritized for attention included front-of-pack labelling, healthy food subsidies, unhealthy food taxation, restrictions on unhealthy food promotion, and improvements in school nutrition standards to combat NCDs. Interpretation: Urgent action is required to expand food policies beyond hygiene and food security measures. Comprehensive strategies targeting NCD prevention are crucial to combat the escalating burden of NCDs in the region. Funding: This research was funded by the NIHR (16/136/68 and 132960) with aid from the UK Government for global health research. Petya Atanasova also acknowledges funding from the Economic and Social Research Council (ESRC) (ES/P000703/1). The views expressed are those of the authors and not necessarily of the NIHR, the UK government or the ESRC.
Published: 2024
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2. Smokeless and combustible tobacco use among 148,944 South Asian adults: a cross-sectional study of South Asia Biobank

Author: Wubin Xie, Malay Kanti Mridha, Anaya Gupta, Dian Kusuma, Awais Muhammad Butt, Mehedi Hasan, Soren Brage, Marie Loh, Khadija Irfan Khawaja, Rajendra Pradeepa, Vinita Jha, Anuradhani Kasturiratne, Prasad Katulanda, Ranjit Mohan Anjana, and John C Chambers
Subjects: Smokeless tobacco, Smoking behavior, South Asia, Public aspects of medicine, RA1-1270
Abstract: Abstract Introduction Tobacco use, in both smoking and smokeless forms, is highly prevalent among South Asian adults. The aims of the study were twofold: (1) describe patterns of SLT and combustible tobacco product use in four South Asian countries stratified by country and sex, and (2) assess the relationships between SLT and smoking intensity, smoking quit attempts, and smoking cessation among South Asian men. Methods Data were obtained from South Asia Biobank Study, collected between 2018 and 2022 from 148,944 men and women aged 18 years and above, living in Bangladesh, India, Pakistan, or Sri Lanka. Mixed effects multivariable logistic and linear regression were used to quantify the associations of SLT use with quit attempt, cessation, and intensity. Results Among the four South Asian countries, Bangladesh has the highest rates of current smoking (39.9% for male, 0.4% for female) and current SLT use (24.7% for male and 23.4% for female). Among male adults, ever SLT use was associated with a higher odds of smoking cessation in Bangladesh (OR, 2.88; 95% CI, 2.65, 3.13), India (OR, 2.02; 95% CI, 1.63, 2.50), and Sri Lanka (OR, 1.36; 95% CI, 1.14, 1.62). Ever SLT use and current SLT use was associated with lower smoking intensity in all countries. Conclusions In this large population-based study of South Asian adults, rates of smoking and SLT use vary widely by country and gender. Men who use SLT products are more likely to abstain from smoking compared with those who do not.
Published: 2023
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3. A qualitative study on perceptions and practices of diabetes prevention and management in rural south India

Author: Natarajan Lakshmi, Ranjit Mohan Anjana, Elizabeth C Rhodes, Vigasini Nora, Hari Rakesh, Colin N A Palmer, Viswanathan Mohan, and Rajendra Pradeepa
Subjects: diabetes, perceptions, qualitative, rural, self-management, Diseases of the endocrine glands. Clinical endocrinology, RC648-665
Abstract: Aims: The purpose of this study is to explore the perceptions and practices of diabetes management through focus group discussions (FGDs) among adults with diabetes in rural Tamil Nadu. Materials and Methods: A qualitative study was conducted among individuals with diabetes who were part of the Telemedicine pRoject for screENing Diabetes and its complications in rural Tamil Nadu (TREND). A total of 16 FGDs were conducted using a semi-structured FGD guide that elicited perceptions of the different aspects of diabetes management and knowledge about diabetes prevention. The sample size was based on the attainment of thematic saturation. All FGDs were audio-recorded and transcribed verbatim. The textual data was then coded into meaning units and grouped into themes. Data were analyzed using NVIVO software version 10.0. Results: There were varied responses with respect to diet, medication adherence, regularity of follow-up, knowledge about diabetes, and diabetes prevention. Most participants had limited knowledge of the disease and did not have regular hospital visits. Several participants were unable to adhere to the diet prescribed by healthcare providers, as they lived alone or were dependent on someone in the family for dietary needs. Most participants were unaware that diabetes could be prevented. Some participants were interested in serving as “Diabetes ambassadors” to educate rural societies about diabetes. Conclusions: Understanding the perceptions and practices about diabetes management and prevention strategies could help primary healthcare workers effectively treat, manage, and prevent diabetes in underserved rural populations.
Published: 2023
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4. Prevalence of and risk factors for diabesity in urban Chennai

Author: Aarthi Garudam Raveendiran, Rajendra Pradeepa, Venkatesan Ulagamathesan, John Campbell Chambers, Viswanathan Mohan, Padma Venkatasubramanian, and Anjana Ranjit Mohan
Subjects: diabesity, epidemiology, risk factors, urban, Diseases of the endocrine glands. Clinical endocrinology, RC648-665
Abstract: Background: A large number of epidemiologic studies across the world indicate a growing link between obesity and diabetes. The metropolitan city of Chennai in South India is experiencing an alarming increase in diabetes and obesity. Aim: The aim of this study was to determine the prevalence of and risk factors for diabetes and obesity together termed as “diabesity” among adults in urban Chennai. Materials and Methods: This was a community-based cross-sectional door-to-door study done as part of a large National Institute of Health and Care Research (NIHR)––a funded project aimed to understand patterns and determinants of health in South Asia. Of the 200 wards in Chennai, 34 wards were surveyed in the main project and two wards were selected randomly for this substudy. Five community enumeration blocks were selected using a systematic sampling technique. Participants aged ≥18 years were selected using a consecutive sampling method. Results: Of the 1138 participants studied, the prevalence of diabesity was found to be 34.3%(n = 390). Of the study participants, 74.8% had obesity (61.9%––generalized obesity; 68.5%––abdominal obesity) and 43.0% had diabetes. As age increased, the diabesity risk also increased gradually from 30 to 39 years (odds ratio [OR]: 3.6[95%, confidence interval [CI]: 1.4–8.9]) to 50–59 years (OR: 5.4[95%, CI: 2.2–13.2]), whereas there was a slight decrease in risk after 60 years (OR: 5.1[95%, CI: 2.1–12.3]). Females had nearly twice the risk of diabesity compared to men (OR: 1.8, P < 0.001), and physically inactive individuals had 1.7 times increased risk (P < 0.001). Conclusion: We report in this study that the prevalence of the dual metabolic defect (diabesity) is alarmingly high in urban Chennai. This study was an attempt to understand the epidemiology of diabesity.
Published: 2023
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5. Built environment correlates of diabetes and obesity: Methodology

Author: Garudam R Aarthi, Rajendra Pradeepa, Viswanathan Mohan, Padma Venkatasubramanian, and Ranjit M Anjana
Subjects: built environment, diabesity, food environment, physical activity areas, Diseases of the endocrine glands. Clinical endocrinology, RC648-665
Abstract: Background: A city’s planning, design, and construction can have a profound influence on health, specifically on non-communicable diseases such as diabetes and obesity, which are often referred to as “diabesity.” This study describes the designs and methods to understand the relationship between food and physical activity environments on diabesity. Materials and Methods: This study was a community-based cross-sectional door-to-door survey conducted as part of a large National Institute of Health and Care Research-funded surveillance project. For this study, two wards in Chennai were selected randomly. In each ward, five community enumeration blocks were selected using systematic random sampling technique. A consecutive sampling approach was used to select the study participants. Two categories of data were collected: (1) health data and (2) built environment (BE) data. Health and lifestyle questionnaires, anthropometric, and biochemical data were collected from all the study participants. For categorizing BE, an online questionnaire was developed using the KoBo toolbox to collect information about food and physical activity environments, as well as geographic locations. Expected Outcome: This study is expected to reveal data on the relationship between food and physical activity environments and diabesity. It will help policy-makers to understand the importance of access to healthy foods and spaces for physical activity in prevention and control of diabesity. It can also enable community-based interventions to improve health outcomes and help urban planners to plan cities that promote active lifestyles for its residents.
Published: 2022
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6. Association of stress, depression and anxiety among individuals with microvascular complications in type 2 diabetes

Author: Jayaram Vidyulatha, Thyparambil Aravindakshan Pramodkumar, Rajendra Pradeepa, Subramani Poongothai, Somasundaram Thenmozhi, Ulagamathesan Venkatesan, Saravanan Jebarani, Ranjit Mohan Anjana, and Viswanathan Mohan
Subjects: anxiety, depression, microvascular complications, stress, type2 diabetes mellitus, Diseases of the endocrine glands. Clinical endocrinology, RC648-665
Abstract: Background and Aims: The impact of a chronic illness like diabetes on physical and mental wellbeing has been gaining more focus in the last few decades. This study aimed to investigate the association of stress, depression, and anxiety among individuals with type 2 diabetes mellitus (T2DM) and microvascular complications. Materials and Methods: This cross-sectional study included 315 participants aged ≥20 years with T2DM seen at a tertiary care diabetes centre who were screened for diabetic retinopathy, nephropathy, and neuropathy and assessed for stress, depression, and anxiety using the Depression, Anxiety Stress Scale 21 (DASS 21). Diabetic retinopathy was classified according to the Early Treatment Diabetic Reinopathy Study grading system diagnosed using retinal photography [Early Treatment DR Study grading system] i.e., presence of at least one distinct microaneurysm; nephropathy, if urinary albumin excretion was ≥30 mg/μg of creatinine; and neuropathy, if vibration perception threshold of the big toe using biothesiometry was ≥20 V. Results: Prevalence of stress was higher in those with neuropathy (60% vs 40%, P < 0.001), nephropathy (61% vs 39%, P < 0.001) and retinopathy (57% vs 43%, P < 0.05) compared to those without. Prevalence of depression was also higher in individuals with neuropathy (66% vs 34%,P < 0.001), nephropathy (58% vs 42%, P < 0.001) and retinopathy (55% vs 45%, P < 0.05). In multiple regression analysis, stress was significantly associated with retinopathy (OR=3.13,CI:1.75–5.58, P < 0.000), neuropathy (OR=2.50, CI:1.42–4.39,P < 0.001) and nephropathy (OR=2.06,CI:1.19–3.56, P < 0.010),depression was also significantly associated with retinopathy (OR=1.97,CI:1.04–3.73, P < 0.037), neuropathy (OR=2.77,CI:1.45–5.30,P < 0.002) and nephropathy (OR=2.59,CI:1.42–4.70,P < 0.002). Conclusions: Individuals with microvascular complications of diabetes should be screened for stress, depression,and anxiety so that proper counselling can be given.
Published: 2022
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7. A study on the health and socioeconomic impact of COVID-19 pandemic and barriers to self-management of diabetes during the lockdown among rural residents of South India

Author: Natarajan Lakshmi, Ranjit Mohan Anjana, Moneeza Siddiqui, Sait Sonie, Ewan R Pearson, Alexander Doney, Colin N A Palmer, Viswanathan Mohan, and Rajendra Pradeepa
Subjects: asian indians, covid 19, diabetes, lockdown, rural, Diseases of the endocrine glands. Clinical endocrinology, RC648-665
Abstract: Aim: To study the health and socioeconomic impact of the COVID-19 pandemic and to assess the barriers to self-management of diabetes during the lockdown, in rural South India. Materials and Methods: Details of demographic, social, economic, migration and health status were collected using a structured questionnaire from participants aged ≥18 years belonging to the 21 villages of Chengalpattu and Kancheepuram districts of Tamil Nadu state in south India as part of the Telemedicine pRoject for screENing Diabetes and its complications in rural Tamil Nadu (TREND) study. From the 11,249 TREND participants, a random list of 25% (n = 2812) was system-generated using random numbers and 2812 participants were contacted for the study, of whom 2511 individuals participated. Telephonic interviews were conducted during the lockdown from June to August 2020. Further, qualitative interviews(Focus group discussions) were conducted among 27 individuals with diabetes between September and December 2020. Data were analyzed using thematic analysis. Results: The mean age of the study population was 43 ± 14 years and 50.4% were women. Diabetes was present in 14.7%, hypertension in 31.9%, generalized and abdominal obesity in 33.3% and 46.5% respectively. When the lockdown was implemented in March 2020, 37% had migrated from urban to rural areas. Lack of daily wage jobs (68%), price of essential commodities (41.7%), social distancing/curfew (34.8%), mental fatigue/depression (14.7%), and loss of job (7.1%) were some reasons stated for their adverse social and financial circumstances. People with diabetes stated that they had to avoid or cut down their regular hospital visits due to travel restrictions. Many of the patients took the same medications for almost a year. Conclusion: Unemployment, poor mental health, and reduced household income were the most significant negative impacts faced by rural residents during the lockdown due to COVID-19. People with diabetes experienced disruptions in diabetes management due to the pandemic.
Published: 2022
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8. Prevalence and impact of stress among individuals with type 2 diabetes attending a tertiary diabetes center in South India

Author: Jayaram Vidyulatha, Thyparambil Aravindakshan Pramodkumar, Rajendra Pradeepa, Mohan Deepa, Subramani Poongothai, Ulagamathesan Venkatesan, Garudam Raveendiran Aarthi, Somasundaram Thenmozhi, Ranjit Mohan Anjana, and Viswanathan Mohan
Subjects: diabetes, india, prevalence, south india, stress, Diseases of the endocrine glands. Clinical endocrinology, RC648-665
Abstract: Aims and Objectives: Diabetes is a chronic health condition proving to be a major health challenge globally. Being a lifestyle-related disorder, psychosocial and behavioral factors are critical for its management, among which stress plays a contributory role. Diabetes is associated with increased risk of depression, anxiety, and stress due to its debilitating nature and complications. Stress not only affects glycemic control through biological pathways but also leads to unhealthy behavior such as binge eating, smoking, and alcohol. This study attempts to fill the lacuna between clinical and psychosocial aspects of stress and thereby determines the prevalence and impact of stress among type 2 diabetes individuals in a clinic population. Materials and Methods: This is a cross-sectional, case–control study that includes individuals with type 2 diabetes mellitus (T2DM) as well as those with normal glucose tolerance. Assessment of stress was done using a validated tool, the Depression Anxiety Stress Scale-21 (stress component). Sociodemographic characteristics, anthropometry, blood pressure, and biochemical parameters were collected in all the participants. Data were analyzed using Statistical Package for Social Sciences statistical software. Results: The prevalence of stress was significantly higher in T2DM compared to normal glucose tolerance (NGT; 43% vs 13%, P < .001). Both among T2DM and NGT, stress levels were higher in younger individuals with higher education, higher income levels, and professionals. Stress scores decreased with age at diagnosis of T2DM (16.6 [≤25 years] vs 15.6 [≥26–40 years] vs 12.7 [≥41 years], P < .001). T2DM was significantly associated with stress after adjusting for confounding factors. Conclusion: Individuals with T2DM had significantly higher prevalence of stress. Regular screening of stress could lead to better glycemic control.
Published: 2022
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9. Effect of almond consumption on insulin sensitivity and serum lipids among Asian Indian adults with overweight and obesity– A randomized controlled trial

Author: Rajagopal Gayathri, Kuzhandhaivelu Abirami, Natarajan Kalpana, Valangaiman Sriram Manasa, Vasudevan Sudha, Shanmugam Shobana, Raman Ganesh Jeevan, Vasudevan Kavitha, Karthikeyan Parkavi, Ranjit Mohan Anjana, Ranjit Unnikrishnan, Kuppan Gokulakrishnan, D. Annette Beatrice, Kamala Krishnaswamy, Rajendra Pradeepa, Richard D. Mattes, Jordi Salas-Salvadó, Walter Willett, and Viswanathan Mohan
Subjects: almond, overweight and obesity, insulin resistance, serum lipid, insulin sensitivity, Asian–Indian, Nutrition. Foods and food supply, TX341-641
Abstract: BackgroundAsian Indians have an increased susceptibility to type 2 diabetes and premature coronary artery disease. Nuts, like almonds, are rich in unsaturated fat and micronutrients with known health benefits.ObjectivesThis study aimed to assess the efficacy of almonds for reduction of insulin resistance and improving lipid profile in overweight Asian Indian adults.MethodsThis parallel-arm, randomized, controlled trial was conducted in Chennai, India on 400 participants aged 25–65 years with a body mass index ≥ 23 kg/m2. The intervention group received 43 g of almonds/day for 12 weeks, while the control group was advised to consume a customary diet but to avoid nuts. Anthropometric, clinical, and dietary data were assessed at periodic intervals. Glucose tolerance, serum insulin, glycated hemoglobin, C-peptide and lipid profile were assessed at baseline and end of the study. Insulin resistance (homeostasis assessment model-HOMA IR) and oral insulin disposition index (DIo) were calculated.ResultsA total of 352 participants completed the study. Significant improvement was seen in DIo [mean (95% CI) = + 0.7 mmol/L (0.1, 1.3); p = 0.03], HOMA IR (−0.4 (−0.7, −0.04; p = 0.03) and total cholesterol (−5.4 mg/dl (−10.2, −0.6); p = 0.03) in the intervention group compared to the control group. Incremental area under the curve (IAUC) and mean amplitude of glycemic excursion (MAGE) assessed using continuous glucose monitoring systems were also significantly lower in the intervention group. Dietary 24-h recalls showed a higher significant reduction in carbohydrate and increase in mono unsaturated fatty acid (MUFA) and polyunsaturated fatty acids (PUFA) intake in the intervention group compared to the control group.ConclusionDaily consumption of almonds increased the intake of MUFA with decrease in carbohydrate calories and decreases insulin resistance, improves insulin sensitivity and lowers serum cholesterol in Asian Indians with overweight/obesity. These effects in the long run could aid in reducing the risk of diabetes and other cardiometabolic disease.
Published: 2023
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10. Correction: Cardiovascular Health in India – a Report Card from Three Urban and Rural Surveys of 22,144 Adults

Author: Roopa Shivashankar, Kalpana Singh, Dimple Kondal, Ruby Gupta, Pablo Perel, Deksha Kapoor, Devraj Jindal, Sailesh Mohan, Rajendra Pradeepa, Prashant Jarhyan, Nikhil Srinivasapura Venkateshmurthy, Nikhil Tandon, Viswanathan Mohan, K. M. Venkat Narayan, Dorairaj Prabhakaran, and Mohammed K. Ali
Subjects: cardiology, cardiovascular health, global health, india, Diseases of the circulatory (Cardiovascular) system, RC666-701, Public aspects of medicine, RA1-1270
Abstract: This article details a correction to: Shivashankar R, Singh K, Kondal D, Gupta R, Perel P, Kapoor D, et al.. Cardiovascular Health in India – a Report Card from Three Urban and Rural Surveys of 22,144 Adults. Global Heart. 2022; 17(1): 52. DOI: http://doi.org/10.5334/gh.1137
Published: 2022
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11. Sex-Based Differences in Clinical Profile and Complications among Individuals with Type 2 Diabetes Seen at a Private Tertiary Diabetes Care Centre in India

Author: Rajendra Pradeepa, Lal Shreya, Ranjit Mohan Anjana, Saravanan Jebarani, Ulagamathesan Venkatesan, Nithyanantham Kamal Raj, Onkar C. Swami, and Viswanathan Mohan
Subjects: gender, women, type 2 diabetes, clinical profile, complications, India, Medicine
Abstract: This study aimed to compare the clinical and biochemical profiles as well as the complications in males and females with type 2 diabetes (T2DM) presenting to a private tertiary diabetes care centre in India. This is a retrospective study, conducted between 1 January 2017 and 31 December 2019, and included 72,980 individuals with T2DM, aged ≥ 18 years (age and sex-matched—males—36,490; females—36,490). Anthropometric measurements, blood pressure, fasting plasma glucose (FPG), post-prandial plasma glucose (PPPG), glycated haemoglobin (HbA1c), lipids, urea, and creatinine were measured. Retinopathy was screened using retinal photography, neuropathy using biothesiometry, nephropathy measuring urinary albumin excretion, peripheral vascular disease (PVD) using Doppler, and coronary artery disease (CAD) based on the history of myocardial infarction and/or drug treatment for CAD and/or electrocardiographic changes. Obesity (73.6% vs. 59.0%) rates were significantly higher in females compared to males. FPG, PPPG, and HbA1c were higher among younger age groups among both sexes, with males having higher values compared to females. However, after the age of 44 years, control of diabetes was worse among females. In addition, only 18.8% of the females achieved glycemic control (HbA1c < 7%) compared to 19.9% in males (p < 0.001). Males had higher prevalence of neuropathy (42.9% vs. 36.9%), retinopathy (36.0% vs. 26.3%), and nephropathy (25.0% vs. 23.3%) compared to females. Males had 1.8- and 1.6-times higher risk of developing CAD and retinopathy compared to females. Hypothyroidism (12.5% vs. 3.5%) and cancers (1.3% vs. 0.6%) were significantly higher in females compared to males. In this large sample of T2DM seen at a chain of private tertiary diabetes centres, females had higher prevalence of metabolic risk factors and poorer diabetes control compared to males, emphasizing the need for better control of diabetes in females. However, males had higher prevalence of neuropathy, retinopathy, nephropathy, and CAD compared to females.
Published: 2023
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12. Cardiovascular Health in India – a Report Card from Three Urban and Rural Surveys of 22,144 Adults

Author: Roopa Shivashankar, Kalpana Singh, Dimple Kondal, Ruby Gupta, Pablo Perel, Deksha Kapoor, Devraj Jindal, Sailesh Mohan, Rajendra Pradeepa, Prashant Jarhyan, Nikhil Srinivasapura Venkateshmurthy, Nikhil Tandon, Viswanathan Mohan, K. M. Venkat Narayan, Dorairaj Prabhakaran, and Mohammed K. Ali
Subjects: cardiovascular health, urban living, socioeconomic status, india, population survey, Diseases of the circulatory (Cardiovascular) system, RC666-701, Public aspects of medicine, RA1-1270
Abstract: Background: Markers of ideal cardiovascular health (CVH) predict cardiovascular events. We estimated the prevalence of ideal CVH markers in two levels of cities and villages in India. Methods: We did pooled analysis of individual-level data from three cross sectional surveys of adults ≥ 30 years over 2010–14 (CARRS: Centre for cArdiometabolic Risk Reduction in South Asia; UDAY and Solan Surveillance Study) representing metropolitan cities; smaller cities and rural areas in diverse locations of India. We defined ideal CVH using modified American Heart Association recommendations: not smoking, ≥ 5 servings of fruits and vegetables (F&V), high physical activity (PA), body mass index (BMI)
Published: 2022
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13. Impact of bariatric surgery on body composition and metabolism among obese Asian Indians with prediabetes and diabetes

Author: Sundaramoorthy Chandru, Thyparambil Aravindakshan Pramodkumar, Rajendra Pradeepa, Saravanan Jebarani, Y D Meher Prasad, Raj P Praveen, Jagannathan Sathish Babu, Ranjit Mohan Anjana, and Viswanathan Mohan
Subjects: adiponectin, bariatric surgery, body composition, diabetes mellitus, visceral fat, Diseases of the endocrine glands. Clinical endocrinology, RC648-665
Abstract: Background: The aim of this study was to evaluate the changes in body composition, central obesity (visceral and liver fat), and pro-inflammatory markers after bariatric surgery in obese Asian Indians with prediabetes and diabetes. Materials and Methods: This is 1-year follow-up study of 30 obese patients (BMI of 30–40 kg/m2) with prediabetes and diabetes who underwent bariatric surgery at tertiary diabetes center in South India. HbA1c, adiponectin, liver enzymes, ferritin, and high-sensitivity C-reactive protein (hs-CRP) were tested before surgery and at 6 and 12 months postoperatively. Body composition analysis and ultrasound hepatic fat grading were done before and at 6 and 12 months’ post-surgery. Results: The baseline HbA1c were 8.3 ± 1.8% which reduced to 6.1 ± 0.8% at 12 months. The percent body fat, visceral fat area, and slim lean mass reduced significantly at 12 months compared with baseline (P < 0.001). Hepatic steatosis and liver enzymes also significantly reduced at 12 months compared with baseline. hs-CRP and ferritin significantly reduced (P < 0.05) at 12 months post-op [2.9 ± 2.8 mg/L, 39 ± 29 ng/mL] compared with baseline [7.5 ± 3.5 mg/L, 61 ± 44 ng/mL], respectively. Serum adiponectin levels significantly increased from 26.4 ± 1.4 to 67 ± 3.5 ng/mL after the surgery. Conclusion: Bariatric surgery is effective in reducing total body fat and visceral fat area, hepatic steatosis with an improvement in liver enzyme levels after bariatric surgery. hs-CRP, ferritin, and adiponectin also significantly improved following surgery.
Published: 2021
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14. Systematic review and scientific rating of commercial apps available in India for diabetes prevention

Author: Harish Ranjani, Sharma Nitika, Raveendran Hariharan, Harikrishnan Charumeena, Nick Oliver, Rajendra Pradeepa, John Campbell Chambers, Ranjit Unnikrishnan, Viswanathan Mohan, Parizad E Avari, and Ranjit Mohan Anjana
Subjects: apps, diabetes prevention, mhealth, quality, scientific rating, systematic review, Diseases of the endocrine glands. Clinical endocrinology, RC648-665
Abstract: Objectives: We aimed to evaluate the quality of currently available health apps for prevention of type 2 diabetes among Asian Indians using validated rating scales. Materials and Methods: Using the keywords, “diabetes prevention,” “healthy lifestyle,” and “fitness,” a total of 1486 apps available in India via Google Play were assessed for eligibility by two independent reviewers. After initial screening using specific inclusion and exclusion criteria, 50 apps underwent a pre-specified rating based on user reviews, number of downloads, and app size. Sixteen apps that scored ≥ 9 were shortlisted for further review using the Mobile App Rating Scale (MARS). The mean MARS scores (for categories I and II) were used to identify the top ranked apps. Results: The mean score for Category I of MARS rating was highest for “Google Fit: Health and Activity Tracking” (4.55/5). This was followed by “Healthifyme—Diet Plan, Health, and Weight Loss” (4.45/5). For Category II of MARS, “Diabetes M,” “Google Fit: Health and Activity Tracking,” “Calorie Counter—My Fitness Pal,” and “Healthifyme—Diet Plan, Health, and Weight Loss” all scored equally well. On comparing the advantages and disadvantages of each of these applications, “Google Fit: Health and Activity Tracking” and “Healthifyme—Diet Plan, Health, and Weight Loss” again ranked the best. Conclusion: Our review identifies two commercially available apps “Google Fit: Health and Activity Tracking” and “Healthifyme—Diet Plan, Health, and Weight Loss” as being user friendly and good quality. Although encouraging, further research is needed to evaluate the efficacy of these apps for the prevention of diabetes.
Published: 2021
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15. Low uptake of COVID-19 prevention behaviours and high socioeconomic impact of lockdown measures in South Asia: Evidence from a large-scale multi-country surveillance programme

Author: Dian Kusuma, Rajendra Pradeepa, Khadija I. Khawaja, Mehedi Hasan, Samreen Siddiqui, Sara Mahmood, Syed Mohsin Ali Shah, Chamini K. De Silva, Laksara de Silva, Manoja Gamage, Menka Loomba, Vindya P. Rajakaruna, Abu AM Hanif, Rajan Babu Kamalesh, Balachandran Kumarendran, Marie Loh, Archa Misra, Asma Tassawar, Akansha Tyagi, Swati Waghdhare, Saira Burney, Sajjad Ahmad, Viswanathan Mohan, Malabika Sarker, Ian Y. Goon, Anuradhani Kasturiratne, Jaspal S. Kooner, Prasad Katulanda, Sujeet Jha, Ranjit Mohan Anjana, Malay K. Mridha, Franco Sassi, and John C. Chambers
Subjects: COVID-19, Preventative measures, Socioeconomic impact, South Asia, Surveillance system, Public aspects of medicine, RA1-1270, Social sciences (General), H1-99
Abstract: Background: South Asia has become a major epicentre of the COVID-19 pandemic. Understanding South Asians’ awareness, attitudes and experiences of early measures for the prevention of COVID-19 is key to improving the effectiveness and mitigating the social and economic impacts of pandemic responses at a critical time for the Region. Methods: We assessed the knowledge, behaviours, health and socio-economic circumstances of 29,809 adult men and women, at 93 locations across four South Asian countries. Data were collected during the national lockdowns implemented from March to July 2020, and compared with data collected prior to the pandemic as part of an ongoing prospective surveillance initiative. Results: Participants were 61% female, mean age 45.1 years. Almost half had one or more chronic disease, including diabetes (16%), hypertension (23%) or obesity (16%). Knowledge of the primary COVID-19 symptoms and transmission routes was high, but access to hygiene and personal protection resources was low (running water 63%, hand sanitisers 53%, paper tissues 48%). Key preventive measures were not widely adopted. Knowledge, access to, and uptake of COVID-19 prevention measures were low amongst people from disadvantaged socio-economic groups. Fifteen percent of people receiving treatment for chronic diseases reported loss of access to long-term medications; 40% reported symptoms suggestive of anxiety or depression. The prevalence of unemployment rose from 9.3% to 39.4% (P
Published: 2021
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16. Circulating adiponectin mediates the association between omentin gene polymorphism and cardiometabolic health in Asian Indians.

Author: Karani Santhanakrishnan Vimaleswaran, Dhanasekaran Bodhini, Juanjie Jiang, Kandaswamy Ramya, Deepa Mohan, Coimbatore Subramanian Shanthi Rani, Nagarajan Lakshmipriya, Vasudevan Sudha, Rajendra Pradeepa, Ranjit Mohan Anjana, Viswanathan Mohan, and Venkatesan Radha
Subjects: Medicine, Science
Abstract: BackgroundPlasma omentin levels have been shown to be associated with circulating adiponectin concentrations and cardiometabolic disease-related outcomes. In this study, we aim to examine the association of omentin gene polymorphism with serum adiponectin levels and cardiometabolic health status using a genetic approach, and investigate whether these associations are modified by lifestyle factors.MethodsThe study included 945 normal glucose tolerant and 941 unrelated individuals with type 2 diabetes randomly selected from the Chennai Urban Rural Epidemiology Study (CURES), in southern India. Study participants were classified into cardiometabolically healthy and unhealthy, where cardiometabolically healthy were those without hypertension, diabetes, and dyslipidemia. Fasting serum adiponectin levels were measured by radioimmunoassay. The omentin A326T (rs2274907) single nucleotide polymorphism (SNP) was screened by polymerase chain reaction-restriction fragment length polymorphism and direct sequencing.ResultsThe 'A' allele of the omentin SNP was significantly associated with lower adiponectin concentrations after adjusting for age, sex, body mass index (BMI), waist circumference (WC) and cardiometabolic health status (p = 1.90 x 10-47). There was also a significant association between circulating adiponectin concentrations and cardiometabolic health status after adjusting for age, sex, BMI, WC and Omentin SNP (p = 7.47x10-10). However, after adjusting for age, sex, BMI, WC and adiponectin levels, the association of 'A' allele with cardiometabolic health status disappeared (p = 0.79) suggesting that adiponectin serves as a mediator of the association between omentin SNP and cardiometabolic health status. There were no significant interactions between the SNP and dietary factors on adiponectin levels and cardiometabolic health status (p>0.25, for all comparisons).ConclusionsOur findings show that adiponectin might function as a mechanistic link between omentin SNP and increased risk of cardiometabolic diseases independent of common and central obesity in Asian Indians. Before strategies to promote adiponectin modulation could be implemented, further studies are required to confirm the molecular mechanisms involved in this triangular relationship between omentin gene, adiponectin and cardiometabolic diseases.
Published: 2021
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17. Novel subgroups of type 2 diabetes and their association with microvascular outcomes in an Asian Indian population: a data-driven cluster analysis: the INSPIRED study

Author: Ranjit Mohan Anjana, Viswanathan Mohan, Colin Palmer, Ewan Pearson, Rajendra Pradeepa, Viswanathan Baskar, Anand Thakarakkattil Narayanan Nair, Saravanan Jebarani, Moneeza Kalhan Siddiqui, and Ranjit Unnikrishnan
Subjects: Diseases of the endocrine glands. Clinical endocrinology, RC648-665
Abstract: Introduction Type 2 diabetes is characterized by considerable heterogeneity in its etiopathogenesis and clinical presentation. We aimed to identify clusters of type 2 diabetes in Asian Indians and to look at the clinical implications and outcomes of this clustering.Research design and methods From a network of 50 diabetes centers across nine states of India, we selected 19 084 individuals with type 2 diabetes (aged 10–97 years) with diabetes duration of less than 5 years at the time of first clinic visit and performed k-means clustering using the following variables: age at diagnosis, body mass index, waist circumference, glycated hemoglobin, serum triglycerides, serum high-density lipoprotein cholesterol and C peptide (fasting and stimulated). This was then validated in a national epidemiological data set of representative individuals from 15 states across India.Results We identified four clusters of patients, differing in phenotypic characteristics as well as disease outcomes: cluster 1 (Severe Insulin Deficient Diabetes, SIDD), cluster 2 (Insulin Resistant Obese Diabetes, IROD), cluster 3 (Combined Insulin Resistant and Deficient Diabetes, CIRDD) and cluster 4 (Mild Age-Related Diabetes, MARD). While SIDD and MARD are similar to clusters reported in other populations, IROD and CIRDD are novel clusters. Cox proportional hazards showed that SIDD had the highest hazards for developing retinopathy, followed by CIRDD, while CIRDD had the highest hazards for kidney disease.Conclusions Compared with previously reported clustering, we show two novel subgroups of type 2 diabetes in the Asian Indian population with important implications for prognosis and management. The coexistence of insulin deficiency and insulin resistance seems to be peculiar to the Asian Indian population and is associated with an increased risk of microvascular complications.
Published: 2020
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18. Lower Dietary Intake of Plant Protein Is Associated with Genetic Risk of Diabetes-Related Traits in Urban Asian Indian Adults

Author: Sooad Alsulami, Dhanasekaran Bodhini, Vasudevan Sudha, Coimbatore Subramanian Shanthi Rani, Rajendra Pradeepa, Ranjit Mohan Anjana, Venkatesan Radha, Julie A. Lovegrove, Rajagopal Gayathri, Viswanathan Mohan, and Karani Santhanakrishnan Vimaleswaran
Subjects: genetic risk score, metabolic traits, urban Asian Indian, dietary protein intake, gene–diet interaction, T2D, Nutrition. Foods and food supply, TX341-641
Abstract: The increasing prevalence of type 2 diabetes among South Asians is caused by a complex interplay between environmental and genetic factors. We aimed to examine the impact of dietary and genetic factors on metabolic traits in 1062 Asian Indians. Dietary assessment was performed using a validated semi-quantitative food frequency questionnaire. Seven single nucleotide polymorphisms (SNPs) from the Transcription factor 7-like 2 and fat mass and obesity-associated genes were used to construct two metabolic genetic risk scores (GRS): 7-SNP and 3-SNP GRSs. Both 7-SNP GRS and 3-SNP GRS were associated with a higher risk of T2D (p = 0.0000134 and 0.008, respectively). The 3-SNP GRS was associated with higher waist circumference (p = 0.010), fasting plasma glucose (FPG) (p = 0.002) and glycated haemoglobin (HbA1c) (p = 0.000066). There were significant interactions between 3-SNP GRS and protein intake (% of total energy intake) on FPG (Pinteraction = 0.011) and HbA1c (Pinteraction = 0.007), where among individuals with lower plant protein intake (1 risk allele had higher FPG (p = 0.001) and HbA1c (p = 0.00006) than individuals with ≤1 risk allele. Our findings suggest that lower plant protein intake may be a contributor to the increased ethnic susceptibility to diabetes described in Asian Indians. Randomised clinical trials with increased plant protein in the diets of this population are needed to see whether the reduction of diabetes risk occurs in individuals with prediabetes.
Published: 2021
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19. Relationship of glycemic control markers - 1,5 anhydroglucitol, fructosamine, and glycated hemoglobin among Asian Indians with different degrees of glucose intolerance

Author: Thyparambil Aravindakshan Pramodkumar, Ramamoorthy Jayashri, Kuppan Gokulakrishnan, Kaliyaperumal Velmurugan, Rajendra Pradeepa, Ranjit Mohan Anjana, and Viswanathan Mohan
Subjects: 5 anhydroglucitol, fructosamine, glycated hemoglobin, postprandial hyperglycemia, Type 2 diabetes mellitus, Diseases of the endocrine glands. Clinical endocrinology, RC648-665, Diseases of the digestive system. Gastroenterology, RC799-869
Abstract: Objective: 1,5 anhydroglucitol (1,5 AG) is emerging as a marker of short-term glycemic control. We measured levels of 1,5 AG, fructosamine (FA), and glycated hemoglobin (HbA1c) in Asian Indians with different degrees of glucose intolerance. Materials and Methods: We recruited 210 individuals with normal glucose tolerance (NGT; n = 60), impaired glucose tolerance (IGT; n = 50), and Type 2 diabetes mellitus (T2DM; n = 100) from a large tertiary diabetes center in Chennai in Southern India. Anthropometric measurements were obtained using standardized techniques. Serum 1,5 AG (enzymatic colorimetric assay), FA (NBT/kinetic), and HbA1c (high-performance liquid chromatography) estimations were performed. Results: 1,5 AG levels were significantly lower in the T2DM followed by IGT compared with the NGT group (7.9 vs. 18.8 vs. 21.8 µg/ml, P < 0.05). FA and HbA1c were higher in T2DM and IGT compared with NGT individuals (313 vs. 237 vs. 200 µmol/L, P < 0.001) (8.3 vs. 5.8 vs. 5.3%, P < 0.001).1,5 AG showed a significant negative correlation with FA (r = −0.618, P < 0.001) and HbA1c (r = −0.700, P < 0.001). 1,5 AG decreased with increasing quartiles of postprandial glucose (P for trend
Published: 2016
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20. Metabolic profile of normal glucose-tolerant subjects with elevated 1-h plasma glucose values

Author: Thyparambil Aravindakshan Pramodkumar, Miranda Priya, Saravanan Jebarani, Ranjit Mohan Anjana, Viswanathan Mohan, and Rajendra Pradeepa
Subjects: Asian Indians, elevated 1-h plasma glucose, metabolic syndrome, normal glucose tolerance, South Asians, type 2 diabetes, Diseases of the endocrine glands. Clinical endocrinology, RC648-665, Diseases of the digestive system. Gastroenterology, RC799-869
Abstract: Aim: The aim of this study was to compare the metabolic profiles of subjects with normal glucose tolerance (NGT) with and without elevated 1-h postglucose (1HrPG) values during an oral glucose tolerance test (OGTT). Methodology: The study group comprised 996 subjects without known diabetes seen at tertiary diabetes center between 2010 and 2014. NGT was defined as fasting plasma glucose
Published: 2016
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21. A Nutrigenetic Approach to Investigate the Relationship between Metabolic Traits and Vitamin D Status in an Asian Indian Population

Author: Buthaina E. Alathari, Dhanasekaran Bodhini, Ramamoorthy Jayashri, Nagarajan Lakshmipriya, Coimbatore Subramanian Shanthi Rani, Vasudevan Sudha, Julie A. Lovegrove, Ranjit Mohan Anjana, Viswanathan Mohan, Venkatesan Radha, Rajendra Pradeepa, and Karani S. Vimaleswaran
Subjects: GRS, SNP, metabolic traits, vitamin D, 25(OH)D, carbohydrate intake, Nutrition. Foods and food supply, TX341-641
Abstract: Studies in Asian Indians have examined the association of metabolic traits with vitamin D status. However, findings have been quite inconsistent. Hence, we aimed to explore the relationship between metabolic traits and 25-hydroxyvitamin D [25(OH)D] concentrations. We investigate whether this relationship was modified by lifestyle factors using a nutrigenetic approach in 545 Asian Indians randomly selected from the Chennai Urban Rural Epidemiology Study (219 normal glucose tolerant individuals, 151 with pre-diabetes and 175 individuals with type 2 diabetes). A metabolic genetic risk score (GRS) was developed using five common metabolic disease-related genetic variants. There was a significant interaction between metabolic GRS and carbohydrate intake (energy%) on 25(OH)D (Pinteraction = 0.047). Individuals consuming a low carbohydrate diet (≤62%) and those having lesser number of metabolic risk alleles (GRS ≤ 1) had significantly higher levels of 25(OH)D (p = 0.033). Conversely, individuals consuming a high carbohydrate diet despite having lesser number of risk alleles did not show a significant increase in 25(OH)D (p = 0.662). In summary, our findings show that individuals carrying a smaller number of metabolic risk alleles are likely to have higher 25(OH)D levels if they consume a low carbohydrate diet. These data support the current dietary carbohydrate recommendations of 50%–60% energy suggesting that reduced metabolic genetic risk increases 25(OH)D.
Published: 2020
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22. Association of depression with common carotid artery intima media thickness and augmentation index in a large Urban South Indian population- The Chennai Urban Rural Epidemiology Study (CURES - 138)

Author: Subramani Poongothai, Rajendra Pradeepa, Karunakaran Indulekha, Jayagopi Surendar, and Viswanathan Mohan
Subjects: Asian Indians, atherosclerosis, augmentation index, depression, diabetes, intima media thickness, South Asians, Diseases of the endocrine glands. Clinical endocrinology, RC648-665, Diseases of the digestive system. Gastroenterology, RC799-869
Abstract: AIM: The aim of the study was to assess the relationship of depression with carotid intima media thickness and augmentation index in Asian Indians. Research Design and Methods : For this study, 1505 subjects were randomly selected from a population based study conducted in Chennai, South India. Right common carotid artery intima medial thickness [IMT] was determined using high-resolution B-mode ultrasonography. Augmentation index [AI] was measured using the Sphygmocor apparatus. Depressive symptoms were assessed using a previously validated instrument, the Patient Health Questionnaire -12 (PHQ -12). Results : Of the 1505 subjects included in this study, depressive symptoms were present in 16.6% (n = 250) of the subjects. The mean IMT and AI values among subjects with depression were significantly higher than those without depression [0.83 ± 0.43 mm vs 0.73 ± 0.12 mm, P < 0.001] and IMT was higher in females with depression while AI was higher in males with depression. However, both IMT and AI were higher among those with depression in both genders. In multiple logistic regression model, depressive symptoms were associated with IMT even after adjusting for age, gender, body mass index, fasting plasma glucose, serum cholesterol and hypertension (Odds ratio [OR] =2.17, 95% Confidence intervals [CI]:1.01- 4.63, P = 0.047) but in the case of AI, the significance was lost in the adjusted model (OR = 1.01, 95% CI: 0.991-1.02, P = 0.445). Conclusion: Among Asian Indians, presence of depressive symptoms was associated with carotid intima media thickness and Augmentation index, even after adjusting for potential confounders.
Published: 2015
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23. Prevalence of chronic kidney disease and risk factors for its progression: A cross-sectional comparison of Indians living in Indian versus U.S. cities.

Author: Shuchi Anand, Dimple Kondal, Maria Montez-Rath, Yuanchao Zheng, Roopa Shivashankar, Kalpana Singh, Priti Gupta, Ruby Gupta, Vamadevan S Ajay, Viswanathan Mohan, Rajendra Pradeepa, Nikhil Tandon, Mohammed K Ali, K M Venkat Narayan, Glenn M Chertow, Namratha Kandula, Dorairaj Prabhakaran, and Alka M Kanaya
Subjects: Medicine, Science
Abstract: While data from the latter part of the twentieth century consistently showed that immigrants to high-income countries faced higher cardio-metabolic risk than their counterparts in low- and middle-income countries, urbanization and associated lifestyle changes may be changing these patterns, even for conditions considered to be advanced manifestations of cardio-metabolic disease (e.g., chronic kidney disease [CKD]).Using cross-sectional data from the Center for cArdiometabolic Risk Reduction in South Asia (CARRS, n = 5294) and Mediators of Atherosclerosis in South Asians Living in America (MASALA, n = 748) studies, we investigated whether prevalence of CKD is similar among Indians living in Indian and U.S. cities. We compared crude, age-, waist-to-height ratio-, and diabetes- adjusted CKD prevalence difference. Among participants identified to have CKD, we compared management of risk factors for its progression. Overall age-adjusted prevalence of CKD was similar in MASALA (14.0% [95% CI 11.8-16.3]) compared with CARRS (10.8% [95% CI 10.0-11.6]). Among men the prevalence difference was low (prevalence difference 1.8 [95% CI -1.6,5.3]) and remained low after adjustment for age, waist-to-height ratio, and diabetes status (-0.4 [-3.2,2.5]). Adjusted prevalence difference was higher among women (prevalence difference 8.9 [4.8,12.9]), but driven entirely by a higher prevalence of albuminuria among women in MASALA. Severity of CKD--i.e., degree of albuminuria and proportion of participants with reduced glomerular filtration fraction--was higher in CARRS for both men and women. Fewer participants with CKD in CARRS were effectively treated. 4% of CARRS versus 51% of MASALA participants with CKD had A1c < 7%; and 7% of CARRS versus 59% of MASALA participants blood pressure < 140/90 mmHg. Our analysis applies only to urban populations. Demographic--particularly educational attainment--differences among participants in the two studies are a potential source of bias.Prevalence of CKD among Indians living in Indian and U.S. cities is similar. Persons with CKD living in Indian cities face higher likelihood of experiencing end-stage renal disease since they have more severe kidney disease and little evidence of risk factor management.
Published: 2017
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24. Determinants, consequences and prevention of childhood overweight and obesity: An Indian context

Author: Harish Ranjani, Rajendra Pradeepa, T S Mehreen, Ranjit Mohan Anjana, Krishnan Anand, Renu Garg, and Viswanathan Mohan
Subjects: Childhood, consequences and prevention strategies, determinants, obesity, overweight, Diseases of the endocrine glands. Clinical endocrinology, RC648-665, Diseases of the digestive system. Gastroenterology, RC799-869
Abstract: The prevalence of obesity in adolescents and children has risen to alarming levels globally, and this has serious public health consequences. Sedentary lifestyle and consumption of calorie-dense foods of low nutritional value are speculated to be two of the most important etiological factors responsible for escalating rate of childhood overweight in developing nations. To tackle the childhood obesity epidemic we require comprehensive multidisciplinary evidence-based interventions. Some suggested strategies for childhood obesity prevention and management include increasing physical activity, reducing sedentary time including television viewing, personalized nutrition plans for very obese kids, co-curriculum health education which should be implemented in schools and counseling for children and their parents. In developing countries like India we will need practical and cost-effective community-based strategies with appropriate policy changes in order to curb the escalating epidemic of childhood obesity.
Published: 2014
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25. Increased risk of type 2 diabetes with ascending social class in urban South Indians is explained by obesity: The Chennai urban rural epidemiology study (CURES-116)

Author: Mette Skar, Anne Berg Villumsen, Dirk Lund Christensen, Joergen Holm Petersen, Mohan Deepa, Ranjit Mohan Anjana, Rajendra Pradeepa, and Viswanathan Mohan
Subjects: Asian Indians, diabetes, obesity, social class, socio-economic status, South Asians, urban, Diseases of the endocrine glands. Clinical endocrinology, RC648-665, Diseases of the digestive system. Gastroenterology, RC799-869
Abstract: Aim: The aim of this study is to determine the factors responsible for differences in the prevalence of diabetes mellitus (DM) in subjects of different social class in an urban South Indian population. Materials and Methods: Analyses were based on the cross-sectional data from the Chennai Urban Rural Epidemiology Study of 1989 individuals, aged ≥20 years. Entered in the analyses were information obtained by self-report on (1) household income; (2) family history of diabetes; (3) physical activity; (4) smoking status; (5) alcohol consumption. Biochemical, clinical and anthropometrical measurements were performed and included in the analyses. Social class was classified based on income as low (Rs.
Published: 2013
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26. Periodontal therapy as an adjunctive modality for HbA1c reduction in type-2 diabetic patients

Author: Chalini Sundar, Sundar Ramalingam, Viswanathan Mohan, Rajendra Pradeepa, and M J Ramakrishnan
Subjects: Diabetes mellitus, glycemic control, hemoglobin A1c, periodontal therapy, periodontitis, Special aspects of education, LC8-6691, Public aspects of medicine, RA1-1270
Abstract: OBJECTIVES: This study aimed to evaluate the role of nonsurgical periodontal therapy in improving glycemic control among type 2 diabetes mellitus (T2DM) patients. MATERIALS AND METHODS: Adult T2DM patients with mild-to-moderate periodontal disease, reporting to a tertiary care diabetes center in South India, from January to June 2014, were enrolled in the study. Medical management of T2DM along with diet and physical exercise was an inclusion criterion. Patients with factors affecting periodontal health and an inability to follow-up were excluded from the study. All patients underwent nonsurgical periodontal therapy (scaling, root planing, and irrigation of chlorhexidine [0.12%]). Periodontal status and glycated hemoglobin A1c (HbA1c) were assessed preoperatively and 6 months posttreatment. Dental status, diabetic history, and demographic characteristics were recorded to evaluate confounding roles. RESULTS: A total of 266 T2DM patients (91 females/175 males; mean age 47.65 ± 5.93 years/range 25–55 years), fulfilling the inclusion criteria, were enrolled. The mean pre- and post-treatment HbA1c levels were respectively, 8.44 ± 1.87 and 7.98 ± 1.81, with a mean reduction of 0.46 ± 0.26 (P < 0.001). Significant HbA1c reduction (P < 0.001) was observed in patients with good pretreatment glycemic control (0.54 ± 0.26; 7.9%), regular follow-up (0.51 ± 0.28; 6.2%), and good oral hygiene (0.60 ± 0.49; 8.0%). CONCLUSION: Nonsurgical periodontal therapy is associated with significant HbA1c reduction among T2DM patients with mild-to-moderate periodontitis after a 6-month follow-up period.
Published: 2018
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27. Prevalence of dyslipidemia in urban and rural India: the ICMR-INDIAB study.

Author: Shashank R Joshi, Ranjit Mohan Anjana, Mohan Deepa, Rajendra Pradeepa, Anil Bhansali, Vinay K Dhandania, Prashant P Joshi, Ranjit Unnikrishnan, Elangovan Nirmal, Radhakrishnan Subashini, Sri Venkata Madhu, Paturi Vishnupriya Rao, Ashok Kumar Das, Tanvir Kaur, Deepak Kumar Shukla, Viswanathan Mohan, and ICMR-INDIAB Collaborative Study Group
Subjects: Medicine, Science
Abstract: AIM: To study the pattern and prevalence of dyslipidemia in a large representative sample of four selected regions in India. METHODS: 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. RESULTS: 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. CONCLUSION: 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.
Published: 2014
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28. The Rising Burden of Diabetes and Hypertension in Southeast Asian and African Regions: Need for Effective Strategies for Prevention and Control in Primary Health Care Settings

Author: Viswanathan Mohan, Yackoob K. Seedat, and Rajendra Pradeepa
Subjects: Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract: Aim. To review the available literature on burden of diabetes mellitus (DM) and hypertension (HTN) and its coexistence in Southeast Asian (SEA) and the African (AFR) regions and to suggest strategies to improve DM and HTN prevention and control in primary health care (PHC) in the two regions. Methods. A systematic review of the papers published on DM, HTN, and prevention/control of chronic diseases in SEA and AFR regions between 1980 and December 2012 was included. Results. In the year 2011, SEA region had the second largest number of people with DM (71.4 million), while the AFR region had the smallest number (14.7 million). Screening studies identified high proportions (>50%) of individuals with previously undiagnosed HTN and DM in both of the SEA and AFR regions. Studies from both regions have shown that DM and HTN coexist in type 2 DM ranging from 20.6% in India to 78.4% in Thailand in the SEA region and ranging from 9.7% in Nigeria to 70.4% in Morocco in the AFR region. There is evidence that by lifestyle modification both DM and HTN can be prevented. Conclusion. To meet the twin challenge of DM and HTN in developing countries, PHCs will have to be strengthened with a concerted and multipronged effort to provide promotive, preventive, curative, and rehabilitative services.
Published: 2013
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29. Prevalence of depression in a large urban South Indian population--the Chennai Urban Rural Epidemiology Study (CURES-70).

Author: Subramani Poongothai, Rajendra Pradeepa, Anbhazhagan Ganesan, and Viswanathan Mohan
Subjects: Medicine, Science
Abstract: BACKGROUND: In India there are very few population based data on prevalence of depression. The aim of the study was to determine the prevalence of depression in an urban south Indian population. METHODS AND FINDINGS: Subjects were recruited from the Chennai Urban Rural Epidemiology Study (CURES), involving 26,001 subjects randomly recruited from 46 of the 155 corporation wards of Chennai (formerly Madras) city in South India. 25,455 subjects participated in this study (response rate 97.9%). Depression was assessed using a self-reported and previously validated instrument, the Patient Health Questionnaire (PHQ) - 12. Age adjustment was made according to the 2001 census of India. The overall prevalence of depression was 15.1% (age-adjusted, 15.9%) and was higher in females (females 16.3% vs. males 13.9%, p
Published: 2009
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30. Gestational Diabetes Mellitus Postpartum Follow-Up Testing: Challenges and Solutions

Author: Balaji, Bhavadharini, Ranjit Mohan, Anjana, Rajendra, Pradeepa, Mohan, Deepa, Ram, Uma, and Viswanathan, Mohan
Published: 2019
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31. Macronutrient Recommendations for Remission and Prevention of Diabetes in Asian Indians Based on a Data-Driven Optimization Model: The ICMR-INDIAB National Study

Author: Ranjit Mohan, Anjana, Seshadhri, Srinivasan, Vasudevan, Sudha, Shashank R, Joshi, Banshi, Saboo, Nikhil, Tandon, Ashok Kumar, Das, Puthiyaveettil Kottayam, Jabbar, Sri Venkata, Madhu, Arvind, Gupta, Sarita, Bajaj, Subhankar, Chowdhury, Sanjay, Kalra, Rajagopal, Gayathri, Kuzhandaivelu, Abirami, Valangaiman Sriram, Manasa, Thamotharan, Padmapritha, Nagarajan, Lakshmipriya, Gunasekaran, Geetha, Mohan, Deepa, Rajendra, Pradeepa, Ranjit, Unnikrishnan, Anura Viswanath, Kurpad, Kamala, Krishnaswamy, Tanvir, Kaur, Rupinder Singh, Dhaliwal, Viswanathan, Mohan, and Sujoy, Ghosh
Subjects: Advanced and Specialized Nursing, Endocrinology, Diabetes and Metabolism, Internal Medicine
Abstract: OBJECTIVE To derive macronutrient recommendations for remission and prevention of type 2 diabetes (T2D) in Asian Indians using a data-driven optimization approach. RESEARCH DESIGN AND METHODS Dietary, behavioral, and demographic assessments were performed on 18,090 adults participating in the nationally representative, population-based Indian Council of Medical Research–India Diabetes (ICMR-INDIAB) study. Fasting and 2-h postglucose challenge capillary blood glucose and glycosylated hemoglobin (HbA1c) were estimated. With HbA1c as the outcome, a linear regression model was first obtained for various glycemic categories: newly diagnosed diabetes (NDD), prediabetes (PD), and normal glucose tolerance (NGT). Macronutrient recommendations were formulated as a constrained quadratic programming problem (QPP) to compute optimal macronutrient compositions that would reduce the sum of the difference between the estimated HbA1c from the linear regression model and the targets for remission (6.4% for NDD and 5.6% for PD) and prevention of progression to T2D in PD and NGT groups. RESULTS Four macronutrient recommendations (%E- Energy) emerged for 1) diabetes remission in NDD: carbohydrate, 49–54%; protein, 19–20%; and fat, 21–26%; 2) PD remission to NGT: carbohydrate, 50–56%; protein,18–20%; fat, 21–27%; 3 and 4) prevention of progression to T2D in PD and NGT: carbohydrate, 54–57% and 56–60%; protein, 16–20% and 14–17%, respectively; and fat 20–24% for PD and NGT. CONCLUSIONS We recommend reduction in carbohydrates (%E) and an increase in protein (%E) for both T2D remission and for prevention of progression to T2D in PD and NGT groups. Our results underline the need for new dietary guidelines that recommend appropriate changes in macronutrient composition for reducing the burden due to diabetes in South Asia.
Published: 2022

32. Sex-Based Differences in Clinical Profile and Complications among Individuals with Type 2 Diabetes Seen at a Private Tertiary Diabetes Care Centre in India

Author: Mohan, Rajendra Pradeepa, Lal Shreya, Ranjit Mohan Anjana, Saravanan Jebarani, Ulagamathesan Venkatesan, Nithyanantham Kamal Raj, Onkar C. Swami, and Viswanathan
Subjects: gender, women, type 2 diabetes, clinical profile, complications, India
Abstract: This study aimed to compare the clinical and biochemical profiles as well as the complications in males and females with type 2 diabetes (T2DM) presenting to a private tertiary diabetes care centre in India. This is a retrospective study, conducted between 1 January 2017 and 31 December 2019, and included 72,980 individuals with T2DM, aged ≥ 18 years (age and sex-matched—males—36,490; females—36,490). Anthropometric measurements, blood pressure, fasting plasma glucose (FPG), post-prandial plasma glucose (PPPG), glycated haemoglobin (HbA1c), lipids, urea, and creatinine were measured. Retinopathy was screened using retinal photography, neuropathy using biothesiometry, nephropathy measuring urinary albumin excretion, peripheral vascular disease (PVD) using Doppler, and coronary artery disease (CAD) based on the history of myocardial infarction and/or drug treatment for CAD and/or electrocardiographic changes. Obesity (73.6% vs. 59.0%) rates were significantly higher in females compared to males. FPG, PPPG, and HbA1c were higher among younger age groups among both sexes, with males having higher values compared to females. However, after the age of 44 years, control of diabetes was worse among females. In addition, only 18.8% of the females achieved glycemic control (HbA1c < 7%) compared to 19.9% in males (p < 0.001). Males had higher prevalence of neuropathy (42.9% vs. 36.9%), retinopathy (36.0% vs. 26.3%), and nephropathy (25.0% vs. 23.3%) compared to females. Males had 1.8- and 1.6-times higher risk of developing CAD and retinopathy compared to females. Hypothyroidism (12.5% vs. 3.5%) and cancers (1.3% vs. 0.6%) were significantly higher in females compared to males. In this large sample of T2DM seen at a chain of private tertiary diabetes centres, females had higher prevalence of metabolic risk factors and poorer diabetes control compared to males, emphasizing the need for better control of diabetes in females. However, males had higher prevalence of neuropathy, retinopathy, nephropathy, and CAD compared to females.
Published: 2023
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33. Achievement of guideline recommended diabetes treatment targets and health habits in people with self-reported diabetes in India (ICMR-INDIAB-13): a national cross-sectional study

Author: Ranjit Mohan Anjana, Ranjit Unnikrishnan, Mohan Deepa, Ulagamathesan Venkatesan, Rajendra Pradeepa, Shashank Joshi, Banshi Saboo, Ashok Kumar Das, Sarita Bajaj, Anil Bhansali, Sri Venkata Madhu, Vinay Kumar Dhandhania, Puthiyaveettil Kottayam Jabbar, Sunil M Jain, Arvind Gupta, Subhankar Chowdhury, Mohammed K Ali, Elangovan Nirmal, Radhakrishnan Subashini, Tanvir Kaur, Rupinder Singh Dhaliwal, Nikhil Tandon, Viswanathan Mohan, and Shashank R Joshi
Subjects: Adult, Blood Glucose, Male, Biomedical Research, Urban Population, Endocrinology, Diabetes and Metabolism, India, Cholesterol, LDL, Middle Aged, Habits, Cross-Sectional Studies, Endocrinology, Diabetes Mellitus, Prevalence, Internal Medicine, Humans, Self Report
Abstract: There is little information on comprehensive diabetes care comprising glycaemic, lipid, and blood pressure control in India; therefore, we aimed to assess the achievement of treatment targets among adults with self-reported diabetes.The Indian Council of Medical Research (ICMR)-India Diabetes (INDIAB) study is a cross-sectional, population-based survey of adults aged 20 years or older in all 30 states and union territories of India. We used a stratified multistage sampling design, sampling states in a phased manner, and selected villages in rural areas and census enumeration blocks in urban areas. We used a three-level stratification method on the basis of geography, population size, and socioeconomic status for each state. For the outcome assessment, good glycaemic control was defined as HbABetween Oct 18, 2008, and Dec 17, 2020, 113 043 individuals (33 537 from urban areas and 79 506 from rural areas) participated in the ICMR-INDIAB study. For this analysis, 5789 adults (2633 in urban areas and 3156 in rural areas) with self-reported diabetes were included in the study population. The median age was 56·1 years (IQR 55·7-56·5). Overall, 1748 (weighted proportion 36·3%, 95% CI 34·7-37·9) of 4834 people with diabetes achieved good glycaemic control, 2819 (weighted proportion 48·8%, 47·2-50·3) of 5698 achieved blood pressure control, and 2043 (weighted proportion 41·5%, 39·9-43·1) of 4886 achieved good LDL cholesterol control. Only 419 (weighted proportion 7·7%) of 5297 individuals with self-reported diabetes achieved all three ABC targets, with significant heterogeneity between regions and states. Higher education, male sex, rural residence, and shorter duration of diabetes (10 years) were associated with better achievement of combined ABC targets. Only 951 (weighted proportion 16·7%) of the study population and 227 (weighted proportion 36·9%) of those on insulin reported using self-monitoring of blood glucose.Achievement of treatment targets and adoption of healthy behaviours remains suboptimal in India. Our results can help governments to adopt policies that prioritise improvement of diabetes care delivery and surveillance in India.Indian Council of Medical Research and Department of Health Research, Ministry of Health and Family Welfare.
Published: 2022

34. Secular trends in the prevalence of diabetes and prediabetes among the rural population of South India

Author: Natarajan Lakshmi, Rajendra Pradeepa, Ranjit Mohan Anjana, Hari Rakesh, Radhakrishnan Subashini, Ulagamathesan Venkatesan, Mohan Deepa, Nora Vigasini, Moneeza Kalhan Siddiqui, Ewan R. Pearson, Colin N. A. Palmer, and Viswanathan Mohan
Subjects: Endocrinology, Diabetes and Metabolism, Internal Medicine
Published: 2023

35. The ICMR-INDIAB Study: Results from the National Study on Diabetes in India

Author: Ranjit Mohan Anjana, Mohan Deepa, and Rajendra Pradeepa
Subjects: Multidisciplinary
Published: 2023

36. Young-onset diabetes in Asian Indians is associated with lower measured and genetically determined beta cell function

Author: Moneeza K. Siddiqui, Ranjit Mohan Anjana, Adem Y. Dawed, Cyrielle Martoeau, Sundararajan Srinivasan, Jebarani Saravanan, Sathish K. Madanagopal, Alasdair Taylor, Samira Bell, Abirami Veluchamy, Rajendra Pradeepa, Naveed Sattar, Radha Venkatesan, Colin N. A. Palmer, Ewan R. Pearson, and Viswanathan Mohan
Subjects: Cross-Sectional Studies, Asian People, Diabetes Mellitus, Type 2, Risk Factors, Endocrinology, Diabetes and Metabolism, Internal Medicine, Humans, India, Obesity, Insulin Resistance, Overweight
Abstract: Aims/hypothesis South Asians in general, and Asian Indians in particular, have higher risk of type 2 diabetes compared with white Europeans, and a younger age of onset. The reasons for the younger age of onset in relation to obesity, beta cell function and insulin sensitivity are under-explored. Methods Two cohorts of Asian Indians, the ICMR-INDIAB cohort (Indian Council of Medical Research-India Diabetes Study) and the DMDSC cohort (Dr Mohan’s Diabetes Specialties Centre), and one of white Europeans, the ESDC (East Scotland Diabetes Cohort), were used. Using a cross-sectional design, we examined the comparative prevalence of healthy, overweight and obese participants with young-onset diabetes, classified according to their BMI. We explored the role of clinically measured beta cell function in diabetes onset in Asian Indians. Finally, the comparative distribution of a partitioned polygenic score (pPS) for risk of diabetes due to poor beta cell function was examined. Replication of the genetic findings was sought using data from the UK Biobank. Results The prevalence of young-onset diabetes with normal BMI was 9.3% amongst white Europeans and 24–39% amongst Asian Indians. In Asian Indians with young-onset diabetes, after adjustment for family history of type 2 diabetes, sex, insulin sensitivity and HDL-cholesterol, stimulated C-peptide was 492 pmol/ml (IQR 353–616, pp Conclusions/interpretation The prevalence of lean BMI in young-onset diabetes is over two times higher in Asian Indians compared with white Europeans. This phenotype of lean, young-onset diabetes appears driven in part by lower beta cell function. We demonstrate that Asian Indians with diabetes also have lower genetically determined beta cell function. Graphical abstract
Published: 2022

37. Profiles of Intraday Glucose in Type 2 Diabetes and Their Association with Complications: An Analysis of Continuous Glucose Monitoring Data

Author: Saravanan Jebarani, Viswanathan Mohan, Shivani A. Patel, Viswanathan Baskar, Rajendra Pradeepa, Jithin Sam Varghese, Joyce C. Ho, Ranjit Mohan Anjana, and K.M. Venkat Narayan
Subjects: Adult, Blood Glucose, medicine.medical_specialty, endocrine system diseases, Endocrinology, Diabetes and Metabolism, MEDLINE, India, 030209 endocrinology & metabolism, Type 2 diabetes, 03 medical and health sciences, 0302 clinical medicine, Endocrinology, Internal medicine, Diabetes mellitus, medicine, Humans, 030212 general & internal medicine, Glycated Hemoglobin, Continuous glucose monitoring, business.industry, Blood Glucose Self-Monitoring, Original Articles, medicine.disease, Medical Laboratory Technology, Glucose, Diabetes Mellitus, Type 2, Ambulatory, Complication, business
Abstract: AIMS: To identify profiles of type 2 diabetes from continuous glucose monitoring (CGM) data using ambulatory glucose profile (AGP) indicators and examine the association with prevalent complications. METHODS: Two weeks of CGM data, collected between 2015 and 2019, from 5901 adult type 2 diabetes patients were retrieved from a clinical database in Chennai, India. Non-negative matrix factorization was used to identify profiles as per AGP indicators. The association of profiles with existing complications was examined using multinomial and logistic regressions adjusted for glycated hemoglobin (HbA1c; %), sex, age at onset, and duration of diabetes. RESULTS: Three profiles of glycemic variability (GV) were identified based on CGM data—Profile 1 [“TIR Profile”] (n = 2271), Profile 2 [“Hypo”] (n = 1471), and Profile 3 [“Hyper”] (n = 2159). Compared with time in range (TIR) profile, those belonging to Hyper had higher mean fasting plasma glucose (202.9 vs. 167.1, mg/dL), 2-h postprandial plasma glucose (302.1 vs. 255.6, mg/dL), and HbA1c (9.7 vs. 8.6; %). Both “Hypo profile” and “Hyper profile” had higher odds of nonproliferative diabetic retinopathy (“Hypo”: 1.44, 1.20–1.73; “Hyper”: 1.33, 1.11–1.58), macroalbuminuria (“Hypo”: 1.58, 1.25–1.98; “Hyper”: 1.37, 1.10–1.71), and diabetic kidney disease (DKD; “Hypo”: 1.65, 1.18–2.31; “Hyper”: 1.88, 1.37–2.58), compared with “TIR profile.” Those in “Hypo profile” (vs. “TIR profile”) had higher odds of proliferative diabetic retinopathy (PDR; 2.84, 1.65–2.88). CONCLUSIONS: We have identified three profiles of GV from CGM data. While both “Hypo profile” and “Hyper profile” had higher odds of prevalent DKD compared with “TIR profile,” “Hypo profile” had higher odds of PDR. Our study emphasizes the clinical importance of recognizing and treating hypoglycemia (which is often unrecognized without CGM) in patients with type 2 Diabetes Mellitus.
Published: 2021

38. MACRONUTRIENT RECOMMENDATIONS FOR REMISSION AND PREVENTION OF DIABETES IN ASIAN INDIANS BASED ON A DATA DRIVEN OPTIMIZATION MODEL: THE ICMR-INDIAB NATIONAL STUDY

Author: the ICMR– INDIAB Collaborative Study Group, Viswanathan Mohan, Rupinder Singh Dhaliwal, Tanvir Kaur, Kamala Krishnaswamy, Anura Viswanath Kurpad, Ranjit Unnikrishnan, Rajendra Pradeepa, Mohan Deepa, Gunasekaran Geetha, Nagarajan Lakshmipriya, Padmapritha Thamotharan, Valangaiman Sriram Manasa, Kuzhandaivelu Abirami, Rajagopal Gayathri, Sanjay Kalra, Subhankar Chowdhury, Sarita Bajaj, Arvind Gupta, Sri Venkata Madhu, Puthiyaveettil Kottayam Jabbar, Ashok Kumar Das, Nikhil Tandon, Banshi Saboo, Shashank R Joshi, Vasudevan Sudha, Seshadhri Srinivasan, and Ranjit Mohan Anjana
Abstract: Objective: To derive macronutrient recommendations for remission and prevention of type 2 diabetes (T2D) in Asian Indians using a data-driven optimization approach. Research Design and Methods: Dietary, behavioral and demographic assessments were performed on 18,090 adults, participating in the nationally representative, population-based ICMR-INDIAB study. Fasting and two-hour post glucose challenge capillary blood glucose and glycosylated haemoglobin (HbA1c) were estimated. With HbA1c as outcome, a linear regression model was first obtained for various glycemic categories [Newly diagnosed diabetes (NDD), pre-diabetes (PD) and normal glucose tolerance (NGT)]. Macronutrient recommendations were formulated as a constrained quadratic programming problem (QPP) so as to compute optimal macronutrient compositions that would reduce the sum of the difference between the estimated HbA1c from the linear regression model and the targets for remission (6.4% for NDD and 5.6% for PD) and prevention of progression (≤ 6.5% for both NDD and PD). Results: Four macronutrient recommendations (%E- Energy) emerged for-1) Diabetes remission in NDD: carbohydrate 49-54%, protein 19-20%, fat 21-26%; 2) PD remission to NGT: carbohydrate 50-56%, protein18-20%, fat 21-27%; 3&4) Prevention of progression to T2D in PD and NGT: carbohydrate 54-57% and 56- 60%protein 16-20% and14-17% respectively; fat 20-24% for PD and NGT. Conclusions: We recommend reduction in carbohydrates (%E) and an increase in protein (%E) for both T2D remission and for prevention of progression to T2D in PD and NGT groups. Our results underline the need for new dietary guidelines that recommend appropriate changes in macronutrient composition for reducing the burden due to diabetes in South Asia.
Published: 2022

39. Prediabetes uncovers differential gene expression at fasting and in response to oral glucose load in immune cells

Author: Rajendra Pradeepa, Abhiram Charan Tej Mallu, Mahalakshmi M. Ravi, Gowri Shanker Ramanathan, Madhulika Dixit, Srinivas Allanki, Viswanathan Mohan, Abel Arul Nathan, and Madavan Vasudevan
Subjects: Adult, Male, 0301 basic medicine, medicine.medical_specialty, Microarray, Protein Array Analysis, Receptors, Antigen, T-Cell, India, 030209 endocrinology & metabolism, Critical Care and Intensive Care Medicine, T-Lymphocytes, Regulatory, Prediabetic State, Biological pathway, 03 medical and health sciences, 0302 clinical medicine, Insulin resistance, Immune system, Internal medicine, Gene expression, medicine, Humans, Insulin, Prediabetes, 030109 nutrition & dietetics, Nutrition and Dietetics, business.industry, Microarray analysis techniques, Toll-Like Receptors, Histocompatibility Antigens Class II, Fasting, Glucose Tolerance Test, Atherosclerosis, medicine.disease, Acquired immune system, Immunity, Innate, Glucose, Endocrinology, Gene Expression Regulation, Cytokines, Chemokines, business, Signal Transduction
Abstract: Summary Background and objective Metabolic disorders including diabetes are associated with immune cell dysfunction. However, the effect of normal glucose metabolism or impairment thereof on immune cell gene expression is not well known. Hence, in this cross-sectional pilot study, we sought to determine the differences in gene expression in the peripheral blood mono-nuclear cells (PBMCs) of normal glucose tolerant (NGT) and prediabetic (PD) Asian Indian men, at fasting and in response to 75 g oral glucose load. Methods Illumina HT12 bead chip-based microarray was performed on PBMCs at fasting and 2-h post load conditions for NGT (N = 6) and PD (N = 9) subjects. Following normalization and due quality control of the raw data, differentially expressed genes (DEGs) under different conditions within and across the two groups were identified using GeneSpring GX V12.0 software. Paired and unpaired Student's t-tests were applied along with fold change cut-offs for appropriate comparisons. Validation of the microarray data was carried out through real-time qPCR analysis. Significantly regulated biological pathways were analyzed by employing DEGs and DAVID resource. Deconvolution of the DEGs between NGT and PD subjects at fasting was performed using CIBERSORT and genes involved in regulatory T-cell (Treg) function were further analyzed for biological significance. Results Glucose load specifically altered the expression of 112 genes in NGT and 356 genes in PD subjects. Biological significance analysis revealed transient up-regulation of innate and adaptive immune response related genes following oral glucose load in NGT individuals, which was not observed in PD subjects. Instead, in the PD group, glucose load led to an increase in the expression of pro-atherogenic and anti-angiogenic genes. Comparison of gene expression at fasting state in PD versus NGT revealed 21,707 differentially expressed genes. Biological significance analysis of the immune function related genes between these two groups (at fasting) revealed higher gene expression of members of the TLR signaling, MHC class II molecules, and T-cell receptor, chemotaxis and adhesion pathways in PD subjects. Expression of interferon-γ (IFN-γ) and TNFα was higher and that of type-1 interferons and TGF-β was lower at fasting state in PD subjects compared to NGT. Additionally, expression of multiple proteasome subunits and protein arginine methyl transferase genes (PRMTs) were higher and that of Treg specific genes was significantly distinct at fasting in PD subjects compared to NGT. Conclusion Prediabetes uncovers constitutive TLR activation, enhanced IFN-γ signaling, and Treg dysfunction at fasting along with altered gene expression response to oral glucose load.
Published: 2021

40. Research design for a randomized control trial to assess the effects of almond supplementation on insulin resistance, glycemic markers, and inflammation among overweight Asian Indians

Author: Vasudevan Sudha, Rajagopal Gayathri, Natarajan Kalpana, ValangaimanSriram Manasa, Shanmugam Shobana, RamanGanesh Jeevan, RanjitMohan Anjana, Ranjit Unnikrishnan, Kuppan Gokulakrishnan, Kamala Krishnaswamy, DAnnette Beatrice, Rajendra Pradeepa, Richard Mattes, Jordi Salas-Salvadó, Walter Willett, and Viswanathan Mohan
Subjects: obesity, insulin resistance, General Earth and Planetary Sciences, food and beverages, insulin sensitivity, almonds, mufa, RC648-665, Diseases of the endocrine glands. Clinical endocrinology, General Environmental Science
Abstract: Background: Fatty acids play an important role in health and well-being; almonds have the highest amount of monounsaturated fatty acids (MUFAs) among the nuts. Western studies have shown positive health effects of almonds. However, well-designed studies are sparse on Asian Indians who have a unique phenotype with higher predisposition to diabetes and cardiovascular disease (CVD). Hence, the present study describes the design and methods of a clinical trial to assess the effect of almond supplementation on insulin resistance, glycemic markers, and inflammation in overweight Asian Indians. Methods and Outcome Assessments: Parallel-arm open-labeled, randomized controlled trial was conducted in Chennai, India. The study included 400 overweight and obese volunteers of age 25–65 years with a body mass index ≥23 kg/m2 and with some having cardiometabolic risks. The participants in the intervention group received 43 g of almonds per day as recommended by the American Heart Association for 12 weeks, whereas the participants in the control arm followed their habitual dietary patterns and were advised not to consume any nuts. All other lifestyle habits were similar. The anthropometric, clinical, biochemical, and diet data of the participants were assessed periodically. Dietary 24-hour recalls and plasma percent fatty acid of the participants were assessed at the baseline and end of the study as a measure of participant compliance to protocol. This study also assessed gut hormone levels as a marker for satiety. The effects of almonds supplementation on anti-inflammatory and inflammatory markers such as adiponectin, monocyte chemoattractant protein-1, and tumor necrosis factor-α were also assessed. Discussion: The study findings, if benefits are found, would help to improve the MUFAs intake by a single supplementation of almonds daily to meet the dietary guidelines of 15% of total calories of MUFAs. In addition, it might aid in the prevention of obesity-related chronic diseases such as diabetes and CVDs by reducing the cardiometabolic risk factors. Trial Registration: The trial was registered in the clinical trial registry of India CTRI201710010251.
Published: 2021

41. Systematic review and scientific rating of commercial apps available in India for diabetes prevention

Author: Rajendra Pradeepa, Parizad Avari, Harikrishnan Charumeena, Ranjit Mohan Anjana, Harish Ranjani, John C. Chambers, Raveendran Hariharan, Viswanathan Mohan, Ranjit Unnikrishnan, Nick Oliver, and Sharma Nitika
Subjects: Activity tracking, Gerontology, apps, media_common.quotation_subject, diabetes prevention, Type 2 diabetes, scientific rating, Diseases of the endocrine glands. Clinical endocrinology, systematic review, Weight loss, Rating scale, Diabetes mellitus, Medicine, Quality (business), mHealth, General Environmental Science, media_common, business.industry, medicine.disease, RC648-665, mhealth, quality, Inclusion and exclusion criteria, General Earth and Planetary Sciences, medicine.symptom, business
Abstract: Objectives: We aimed to evaluate the quality of currently available health apps for prevention of type 2 diabetes among Asian Indians using validated rating scales. Materials and Methods: Using the keywords, “diabetes prevention,” “healthy lifestyle,” and “fitness,” a total of 1486 apps available in India via Google Play were assessed for eligibility by two independent reviewers. After initial screening using specific inclusion and exclusion criteria, 50 apps underwent a pre-specified rating based on user reviews, number of downloads, and app size. Sixteen apps that scored ≥ 9 were shortlisted for further review using the Mobile App Rating Scale (MARS). The mean MARS scores (for categories I and II) were used to identify the top ranked apps. Results: The mean score for Category I of MARS rating was highest for “Google Fit: Health and Activity Tracking” (4.55/5). This was followed by “Healthifyme—Diet Plan, Health, and Weight Loss” (4.45/5). For Category II of MARS, “Diabetes M,” “Google Fit: Health and Activity Tracking,” “Calorie Counter—My Fitness Pal,” and “Healthifyme—Diet Plan, Health, and Weight Loss” all scored equally well. On comparing the advantages and disadvantages of each of these applications, “Google Fit: Health and Activity Tracking” and “Healthifyme—Diet Plan, Health, and Weight Loss” again ranked the best. Conclusion: Our review identifies two commercially available apps “Google Fit: Health and Activity Tracking” and “Healthifyme—Diet Plan, Health, and Weight Loss” as being user friendly and good quality. Although encouraging, further research is needed to evaluate the efficacy of these apps for the prevention of diabetes.
Published: 2021

42. Acceptability and Utilization of Newer Technologies and Effects on Glycemic Control in Type 2 Diabetes: Lessons Learned from Lockdown

Author: Anandakumar Amutha, Ranjit Mohan Anjana, Coimbatore Subramanian Shanthi Rani, Harish Ranjani, Nagaraj Manickam, Saravanan Jebarani, Mohan Deepa, Rajendra Pradeepa, Vasudevan Sudha, Subramani Poongothai, Somasundaram Jaya Parvathi, Venkatesan Radha, Muthuswamy Balasubramanyam, Ranjit Unnikrishnan, Ulagamathesan Venkatesan, and Viswanathan Mohan
Subjects: Adult, Blood Glucose, Male, medicine.medical_specialty, Telemedicine, Cross-sectional study, Endocrinology, Diabetes and Metabolism, Pneumonia, Viral, Population, India, 030209 endocrinology & metabolism, Type 2 diabetes, Betacoronavirus, 03 medical and health sciences, 0302 clinical medicine, Endocrinology, Diabetes mellitus, Health care, medicine, Humans, 030212 general & internal medicine, education, Pandemics, Glycemic, Response rate (survey), education.field_of_study, SARS-CoV-2, business.industry, Blood Glucose Self-Monitoring, COVID-19, Middle Aged, Patient Acceptance of Health Care, medicine.disease, Medical Laboratory Technology, Cross-Sectional Studies, Diabetes Mellitus, Type 2, Patient Satisfaction, Family medicine, Quarantine, Female, Coronavirus Infections, business
Abstract: Aim: To evaluate the effects of a prolonged lockdown due to Coronavirus (COVID-19) on the adoption of newer technologies and changes in glycemic control on patients with type 2 diabetes (T2D) in India. Methods: The study population included a random list of 3000 individuals with T2D derived from 30,748 individuals who had visited a large tertiary diabetes center during the past year. The survey was carried out through a telephonic interview. A structured questionnaire was used to collect information on changes in lifestyle, access and challenges to diabetes care and use of technologies such as telemedicine facilities and use of self-monitoring of blood glucose (SMBG), etc. Results: Of the 2510 individuals successfully interviewed (83.7% response rate), 382 (15.2%) reported having attempted to consult their health care providers during the lockdown, of whom only 30.6% utilized the telemedicine facility. However, 96 (82%) of those who utilized the telemedicine facility (n = 117) were happy with their experience and 68 (58.1%) were willing to continue to use the facility in the future. Only 11.4% of participants utilized online support for management of diabetes. Use of SMBG increased significantly from 15.5% to 51.3% during the lockdown. There was an improvement in glycemic control during the lockdown (HbA1c:before vs. during lockdown: 8.2% ± 1.9% vs. 7.7% ± 1.7%, P < 0.001) in a nonrandomly selected subset of subjects (n = 205). Conclusions: Acceptance of telemedicine facilities remains suboptimal in this Asian Indian population, in spite of high levels of satisfaction among those who utilized it. The COVID-19 pandemic and the subsequent lockdown have not adversely affected metabolic control in our patients, and indeed there appears to be an improvement in HbA1c levels. Greater accessibility and acceptance of technology could help individuals with diabetes to maintain better contact with their physicians and ensure better metabolic control in the future.
Published: 2020

43. Prevalence of vitamin D deficiency in urban south Indians with different grades of glucose tolerance

Author: Ramamoorthy Jayashri, Mohan Deepa, Viswanathan Mohan, Rajendra Pradeepa, C. S. Shanthirani, Ulagamathesan Venkatesan, and Ranjit Mohan Anjana
Subjects: medicine.medical_specialty, Nutrition and Dietetics, business.industry, Medicine (miscellaneous), Blood lipids, 030209 endocrinology & metabolism, medicine.disease, Gastroenterology, vitamin D deficiency, 03 medical and health sciences, 0302 clinical medicine, Insulin resistance, Diabetes mellitus, Internal medicine, medicine, Vitamin D and neurology, 030212 general & internal medicine, Prediabetes, Metabolic syndrome, medicine.symptom, business, Abdominal obesity
Abstract: The present study assessed the prevalence of vitamin D deficiency in an urban south Indian population in individuals with different grades of glucose tolerance. A total of 1500 individuals (900 normal glucose tolerance (NGT), 300 prediabetes and 300 with type 2 diabetes mellitus (T2DM)) who were not on vitamin D supplementation were randomly selected from the Chennai Urban Rural Epidemiological Study follow-up study. Anthropometric, clinical examination and biochemical investigations (25-hydroxyvitamin D (25(OH)D), insulin, glycated Hb (HbA1c) and serum lipids) were measured. Vitamin D deficiency was defined as serum 25(OH)D < 20·0 ng/ml, insufficiency as 20–29·9 ng/ml and sufficiency as ≥30 ng/ml. Of the 1500 individuals studied, 45 % were males and the mean age was 46 (sd12) years. Vitamin D levels lowered with increasing degrees of glucose tolerance (NGT: 21 (sd11); prediabetes: 19 (sd10); T2DM: 18 (sd11) ng/ml,P< 0·001). The overall prevalence of vitamin D deficiency was 55 % and was significantly higher among individuals with T2DM (63 %) followed by prediabetes (58 %) and NGT (51 %) (Pfor trend< 0·001). Women had 1·6 times the risk of vitamin D deficiency compared with men (unadjusted OR 1·6 (95 % CI 1·3, 2·0) and adjusted OR 1·6 (95 % CI 1·2, 1·9)). However, there was no increasing trend observed with increasing age. The prevalence of abdominal obesity (66v. 49 %), generalised obesity (80v. 64 %), the metabolic syndrome (45v. 37 %) and insulin resistance (38v. 27 %) was significantly higher in those with vitamin D deficiency compared with those without. This study shows that vitamin D deficiency is highly prevalent in this urban south Indian population and was higher among individuals with T2DM and prediabetes compared with those with NGT.
Published: 2020

44. Effects of Metabolic Surgery on Diabetic Kidney Disease and Diabetic Retinopathy Among Obese Asian Indians with Type 2 Diabetes

Author: Sundaramoorthy, Chandru, Rajendra, Pradeepa, Veerasundar Palanichamy, Poonkodi, Thyparambil Aravindakshan, Pramodkumar, Madhanagopal Sathish, Kumar, Mangesh, Tiwaskar, Kuppan, Gokulakrishnan, Ranjit Mohan, Anjana, Viswanathan, Mohan, and Ramachandran, Rajalakshmi
Subjects: Diabetic Retinopathy, Diabetes Mellitus, Type 2, Albuminuria, Bariatric Surgery, Humans, Diabetic Nephropathies, Obesity, Follow-Up Studies
Abstract: To evaluate the effect of metabolic surgery on microvascular changes associated with diabetic retinopathy (DR) and diabetic kidney disease (DKD) in obese Asian Indians with type 2 diabetes (T2DM), one year after metabolic surgery.This is a follow up study in 21 obese Asian Indians with T2DM who underwent metabolic surgery (MS). Diabetic microvascular complications were assessed before and one-year post surgery using urinary albumin, protein creatinine ratio, eGFR, retinal colour photography and Optical coherence tomography (OCT).Microalbuminuria (54±26 vs 28±16 vs 21±6 µg/mg, plt;0.001) and protein creatinine ratio (0.4±0.1 vs 0.2±0.03 vs 0.1±0.02, plt;0.05) reduced significantly 6 months and one year after Metabolic surgery (MS) respectively compared to baseline values. Estimated Glomerular Filtration (eGFR) rate and creatinine was stable and there was no decline in renal function one year after MS. DR was present in eight individuals at baseline. After metabolic surgery, 12 % of individuals achieved regression of DR and 12% individuals showed a one step regression from severe to moderate non proliferative DR while 12 % individuals progressed from moderate to severe non proliferative DR. Of the 14 (53.8%) individuals who had micro or macroalbuminuria at baseline, 43% individuals reverted back to normoalbuminuria. There was also a reduction in the usage of anti- hypertensive medications after MS.In obese Asian Indians with T2DM, metabolic surgery reduced urinary microalbuminuria and protein creatinine ratios at one-year post MS. MS resulted in stable D. Retionpathy status one-year post surgery. MS may help to improve in stabilisation of the microvascular complications in obese patients with T2DM.
Published: 2022

45. Macronutrient Recommendations for Diabetes Remission and Prevention in Asian Indians Based on a Data-Driven Optimisation Model- the ICMR-INDIAB Study

Author: Anjana Ranjit Mohan, Seshadhri Srinivasan, Sudha V, Shashank R Joshi, Banshi Saboo, Nikhil Tandon, Ashok Kumar Das, Puthiyaveettil Kottayam Jabbar, Sri Venkata Madhu, Arvind Gupta, Sarita Bajaj, Subhankar Chowdhury, Sanjay Kalra, Rajagopal Gayathri, Kuzhandaivelu Abirami, Valangaiman Sriram Manasa, Padmapritha Thamotharan, Nagarajan Lakshmipriya, Gunasekaran Geetha, Mohan Deepa, Rajendra Pradeepa, Unnikrishnan R, Anura V. Kurpad, Tanvir Kaur, R.S. Dhaliwal, and V Mohan
Published: 2022

46. Prevalence of and risk factors for diabesity in urban Chennai

Author: AnjanaRanjit Mohan, AarthiGarudam Raveendiran, Rajendra Pradeepa, Venkatesan Ulagamathesan, JohnCampbell Chambers, Viswanathan Mohan, and Padma Venkatasubramanian
Subjects: General Earth and Planetary Sciences, General Environmental Science
Published: 2023

47. Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight

Author: Maryam Sharafkhah, Emanuel Zitt, Majid Ezzati, Luxia Zhang, Young-Ho Khang, Ellina Rakhimova, Kairit Mikkel, Tiina Vlasoff, Eruke E. Egbagbe, Sidsel Graff-Iversen, Ilona Nenko, Magdalena Klimek, Mathilde Savy, Sanjib Kumar Sharma, Alfonso Siani, Luís Lopes, Vanina Bongard, Gregor Jurak, Jacqueline F. Price, Christina-Paulina Lambrinou, Maria Lc Iurilli, Rainford J. Wilks, Bontha V. Babu, Fereidoun Azizi, Harunobu Nakamura, Marialaura Bonaccio, Angela Döring, Zhenyu Zhang, Naser Ahmadi, Jolanta Słowikowska-Hilczer, Ana Paula Carlos Cândido, Clive Osmond, Thirunavukkarasu Sathish, Robert J. Adams, Themistoklis Tzotzas, Reina Engle-Stone, Atul Trivedi, Shoichiro Tsugane, Niels Møller, Jorge Bezerra, Dénes Molnár, Muhammad Fadhli Mohd Yusoff, Badreya Al-Lahou, J. Jaime Miranda, Bahram Mohajer, Sigmund A. Anderssen, Lital Keinan Boker, Eero Kajantie, Martin Gulliford, Maties Torrent, Sumit Bharadwaj, Toshiharu Ninomiya, Zbigniew Gaciong, Nayu Ikeda, Li Juan Wu, Adrian Richter, Licia Iacoviello, Marc J. Gunter, Wenbin Wei, Norsyamlina Che Abdul Rahim, Eman Aly, Ambady Ramachandran, Nils Lehmann, Soile E. Puhakka, Giovanni Veronesi, Hongsheng Bi, Eiji Oda, Jia Li Duan, Per Tynelius, José María Huerta, Janne Schurmann Tolstrup, Rodrigo M. Carrillo-Larco, Rosangela Fernandes Lucena Batista, Victoria E Soto-Rojas, Hanno Ulmer, Shukri F. Mohamed, Anthony Kafatos, Suyeon Park, Mohsen Ibrahim, Hamed Pouraram, Bin Zhou, May Soe Aung, Lars Bo Andersen, Erfan Ghasemi, René Charles Sylva, Himanshu K. Chaturvedi, Luc Dauchet, Ahmad Ali Zainuddin, Angela Chetrit, Dan Zhu, Valérie Deschamps, Ko Ko Zaw, Peter Vollenweider, Tomas Vega, Yves Martin-Prével, Mahfuzar Rahman, Dorja Vočanec, Roman Topor-Madry, Vinay Nangia, Herculina S. Kruger, Asher Fawwad, Emily Sonestedt, Elena Pahomova, Aleksander Giwercman, Elżbieta Dziankowska-Zaborszczyk, Cecilia Björkelund, Tatjana Hejgaard, Maria Puiu, Maria Benedetta Donati, Andrew Wong, Carlos P. Boissonnet, Santosh K. Bhargava, Patrick Kolsteren, Dermot O'Reilly, Bahareh Kheiri, Wolfgang Kratzer, Susanne R. de Rooij, H. Bas Bueno-de-Mesquita, Günther Fink, José R. Banegas, Michele Monroy-Valle, Drude Molbo, Mahmudur Rahman, Hynek Pikhart, Rafael N. Pichardo, Massimo Salvetti, Hui Cai, Sarah Filippi, Georg Posch, Hung-Kwan So, Yonghua Hu, Katsuyasu Kouda, Joana Carvalho, Gailute Bernotiene, Hannu Uusitalo, Thein Thein Htay, Felix Kaducu, Maigeng Zhou, Lars Ängquist, Thi Tuyet-Hanh Tran, Charles Lunogelo, Michel Joffres, Sabina Zambon, Ronald D. Gregor, Vayia Rarra, Seyed Mohammad Hashemi-Shahri, Loreto Santa Marina, Galina Obreja, Rudolf Kaaks, Aya Mostafa, Maria do Carmo Franco, Beata Gurzkowska, Chien-Jen Chen, Marie Moitry, Nizal Sarrafzadegan, Xiangjun Wang, Diego Giulliano Destro Christofaro, Imperia Brajkovich, Fangfang Chen, Francesco Panza, Ling Yang, Holly E. Syddall, Cecily Kelleher, Michael Tornaritis, Ningli Wang, Lutgarde Thijs, Marjolein Visser, Angelika Schaffrath Rosario, María José Tormo, Jostein Steene-Johannessen, Norbert Amougou, Emmanuella Magriplis, Mar Alvarez-Pedrerol, Jingli Gao, Stig E. Bojesen, Giuseppe Grosso, Seongjun Ha, Lauren Lissner, Mikhail Benet, Anastasia Markaki, Sanjay Rampal, Antônio Augusto Moura da Silva, Maria Lorenza Muiesan, Angelique Chan, Yvonne T. van der Schouw, Annamari Lundqvist, Philippe Amouyel, Kristyna Zejglicova, Charalambos Hadjigeorgiou, João Breda, Jørgen Meisfjord, Fatima Zahra Laamiri, Carl Lachat, Kai-Uwe Saum, Vilma Irazola, Leng Huat Foo, Óscar Lopes, Dickman Gareta, Flavio Nervi, Imre Janszky, Ruzena Kubinova, Terho Lehtimäki, Mario V. Capanzana, Moyses Szklo, Ramfis Nieto-Martínez, Viswanathan Mohan, Shuohua Chen, Arvind Pandey, Luigi Palmieri, Roya Kelishadi, Srinivasan Kannan, Jie Mi, Robert Beaglehole, Liliana Dacica, Jyrki K. Virtanen, Mohan Deepa, Peter Ueda, Isti Ilmiati Fujiati, Hermann Pohlabeln, Morten Sodemann, Jytte Halkjær, Zbigniew Kułaga, Sophie Visvikis-Siest, Farshad Farzadfar, Mohsen Azimi-Nezhad, Henry Völzke, Karolina Milkowska, Zahra Mohammadi, Belgin Ünal, Magda Gasull, George S. Stergiou, Marshall K. Tulloch-Reid, Seppo Koskinen, James E. Bennett, Marcela González-Gross, Virginija Dulskiene, Idris Guessous, Assembekov Batyrbek, Kamarul Imran Musa, Jeannette Lee, Josep Redon, Bihungum Bista, Luisa M Macieira, Johan Sundström, Andres Metspalu, Lariane M Ono, Flora A. Ukoli, Salar Rahimikazerooni, Andrea Gualtieri, Trevor S. Ferguson, Félicité Tchibindat, Eliza Cinteza, Ha Tp Do, Tajana Zeljkovic Vrkic, Tuyen D Le, Alison J. Hayes, Abdul Basit, Chandini Nekkantti, Teresa Norat, Eunice Ugel, Gulmira Aitmurzaeva, Mariachiara Di Cesare, Abdul Hamid Zargar, Vincenzo Solfrizzi, Garry L. Jennings, Aline Meirhaeghe, Kaare Christensen, Päivi Mäki, Xu Lin, Ali Esmaeili, Joanna Baran, Aneta Grajda, Renata Cifkova, Alexandre C. Pereira, Martin Bobak, Iuliia A Rusakova, Keiu Nelis, Damian K Francis, Guansheng Ma, Axel C. Carlsson, Alejandro Diaz, Alireza Ansari-Moghaddam, N Capkova, Zumin Shi, Maria Turley, Imelda A. Agdeppa, Helena I. S. 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Casajús, Guang Ning, Lutgart Braeckman, Dirk Vanderschueren, Jochanan Stessman, Ivana Radic, Yi Zeng, Hans Concin, Damaskini Valvi, Sari Hantunen, Catherine Kyobutungi, Diego Augusto Santos Silva, Wenhua Zhao, Sok King Ong, Anne W. Taylor, Iraj Nabipour, Justyna Godos, Cyrus Cooper, Mattias Johansson, Samuel C. Dumith, Magdalena Muc, Sabine Schipf, Idowu O Senbanjo, Jim Mann, Rajaa Al-Raddadi, Yih Chung Tham, Kay-Tee Khaw, Joseph Cacciottolo, Ana Henriques, Sahar Saeedi Moghaddam, Reza Mohammadpourhodki, Bernhard O. Boehm, Songhomitra Panda-Jonas, Iveta Pudule, Elisabete Ramos, Lacramioara Aurelia Brinduse, Paul H. Lee, Terence W O'Neill, Javad Aghazadeh-Attari, Margus Punab, Bojan Jelaković, Camilla T. Damsgaard, Takafumi Ishida, Ekaterina Chikova-Iscener, Mirjam M. Heinen, Tazeen H. Jafar, Semánová Csilla, Constance Schultsz, Santiago F. Gomez, Raija Korpelainen, Edward W. Gregg, Laura Gutierrez, Pierre Traissac, Victor M. Herrera, Aristides M. Machado-Rodrigues, Fatemeh Malekzadeh, Shouling Wu, Jennifer L. Baker, Clicerio González-Villalpando, Eleonora d'Orsi, Irene G. M. van Valkengoed, Anna Fijałkowska, Wen-Harn Pan, Gregor Starc, Meghnath Dhimal, Murat Topbaş, George Moschonis, Robert Eggertsen, Abdullah Alkandari, Quang Ngoc Nguyen, Janette Walton, Elnaz Faramarzi, Saeed Dastgiri, Lien Braeckevelt, Nasheeta Peer, Radka Taxová Braunerová, Mohamed M. Ali, Steiner Krokstad, Harald Geiger, Morteza Shamshirgaran, Lela Shengelia, María Ángeles Dal Re Saavedra, Silvana Donoso, Khem Bahadur Karki, Timothy J. Key, Maria G. Grammatikopoulou, Susana Vale, Felix K. Assah, Juan A Rivera, Peter H. Whincup, Oana-Florentina Gheorghe-Fronea, Cassiano Ricardo Rech, Paul Ferdinand M. Reganit, Rachakulla Hari Kumar, Jaakko Mursu, Luis A. Moreno, Glen Gironella, Jelena Kos, Tilema Cama, Haakon E. Meyer, Jun Ma, Raphael E. Arku, Ziad Abdeen, Dianna J. 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Ltd, Orebro University, University of London, Universitas Indonesia, Institute of Food and Nutrition Development of Ministry of Agriculture and Rural Affairs, Children’s Hospital of Fudan University, University of Cyprus, Niigata University, International Medical University, Iran University of Medical Sciences, Center for Diabetes and Endocrine Care, Peking University First Hospital, Jiangsu Provincial Center for Disease Control and Prevention, Sun Yat-sen University, West Kazakhstan Medical University, Inner Mongolia Medical University, University of Ghana, Maria Lc Iurilli , Bin Zhou , James E Bennett , Rodrigo M Carrillo-Larco , Marisa K Sophiea , Andrea Rodriguez-Martinez , Honor Bixby , Bethlehem D Solomon , Cristina Taddei , Goodarz Danaei , Mariachiara Di Cesare , Gretchen A Stevens , Leanne M Riley , Stefan Savin , Melanie J Cowan , Pascal Bovet , Albertino Damasceno , Adela Chirita-Emandi , Alison J Hayes , Nayu Ikeda , Rod T Jackson , Young-Ho Khang , Avula Laxmaiah , Jing Liu , J Jaime Miranda , Olfa Saidi , Sylvain Sebert , Maroje Sorić , Gregor Starc , Edward W Gregg , Leandra Abarca-Gómez , Ziad A Abdeen , Shynar Abdrakhmanova , Suhaila Abdul Ghaffar , Hanan F Abdul Rahim , Niveen M Abu-Rmeileh , Jamila Abubakar Garba , Benjamin Acosta-Cazares , Robert J Adams , Wichai Aekplakorn , Kaosar Afsana , Shoaib Afzal , Imelda A Agdeppa , Javad Aghazadeh-Attari , Carlos A Aguilar-Salinas , Charles Agyemang , Mohamad Hasnan Ahmad , Noor Ani Ahmad , Ali Ahmadi , Naser Ahmadi , Soheir H Ahmed , Wolfgang Ahrens , Gulmira Aitmurzaeva , Kamel Ajlouni , Hazzaa M Al-Hazzaa , Badreya Al-Lahou , Rajaa Al-Raddadi , Monira Alarouj , Fadia AlBuhairan , Shahla AlDhukair , Mohamed M Ali , Abdullah Alkandari , Ala'a Alkerwi , Kristine Allin , Mar Alvarez-Pedrerol , Eman Aly , Deepak N Amarapurkar , Parisa Amiri , Norbert Amougou , Philippe Amouyel , Lars Bo Andersen , Sigmund A Anderssen , Lars Ängquist , Ranjit Mohan Anjana , Alireza Ansari-Moghaddam , Hajer Aounallah-Skhiri , Joana Araújo , Inger Ariansen , Tahir Aris , Raphael E Arku , Nimmathota Arlappa , Krishna K Aryal , Thor Aspelund , Felix K Assah , Maria Cecília F Assunção , May Soe Aung , Juha Auvinen , Mária Avdicová , Shina Avi , Ana Azevedo , Mohsen Azimi-Nezhad , Fereidoun Azizi , Mehrdad Azmin , Bontha V Babu , Maja Bæksgaard Jørgensen , Azli Baharudin , Suhad Bahijri , Jennifer L Baker , Nagalla Balakrishna , Mohamed Bamoshmoosh , Maciej Banach , Piotr Bandosz , José R Banegas , Joanna Baran , Barbagallo CM, Alberto Barceló , Amina Barkat , Aluisio Jd Barros , Mauro Virgílio Gomes Barros , Abdul Basit , Joao Luiz D Bastos , Iqbal Bata , Anwar M Batieha , Rosangela L Batista , Zhamilya Battakova , Assembekov Batyrbek , Louise A Baur , Robert Beaglehole , Silvia Bel-Serrat , Antonisamy Belavendra , Habiba Ben Romdhane , Judith Benedics , Mikhail Benet , Ingunn Holden Bergh , Salim Berkinbayev , Antonio Bernabe-Ortiz , Gailute Bernotiene , Heloísa Bettiol , Jorge Bezerra , Aroor Bhagyalaxmi , Sumit Bharadwaj , Santosh K Bhargava , Zulfiqar A Bhutta , Hongsheng Bi , Yufang Bi , Daniel Bia , Elysée Claude Bika Lele, Mukharram M Bikbov , Bihungum Bista , Dusko J Bjelica , Peter Bjerregaard , Espen Bjertness , Marius B Bjertness , Cecilia Björkelund , Katia V Bloch , Anneke Blokstra , Simona Bo , Martin Bobak , Lynne M Boddy , Bernhard O Boehm , Heiner Boeing , Jose G Boggia , Elena Bogova , Carlos P Boissonnet , Stig E Bojesen , Marialaura Bonaccio , Vanina Bongard , Alice Bonilla-Vargas , Matthias Bopp , Herman Borghs , Lien Braeckevelt , Lutgart Braeckman , Marjolijn Ce Bragt , Imperia Brajkovich , Francesco Branca , Juergen Breckenkamp , João Breda , Hermann Brenner , Lizzy M Brewster , Garry R Brian , Lacramioara Brinduse , Sinead Brophy , Graziella Bruno , H Bas Bueno-de-Mesquita , Anna Bugge , Marta Buoncristiano , Genc Burazeri , Con Burns , Antonio Cabrera de León , Joseph Cacciottolo , Hui Cai , Tilema Cama , Christine Cameron , José Camolas , Günay Can , Ana Paula C Cândido , Felicia Cañete , Mario V Capanzana , Nadežda Capková , Eduardo Capuano , Vincenzo Capuano , Marloes Cardol , Viviane C Cardoso , Axel C Carlsson , Esteban Carmuega , Joana Carvalho , José A Casajús , Felipe F Casanueva , Ertugrul Celikcan , Laura Censi , Marvin Cervantes-Loaiza , Juraci A Cesar , Snehalatha Chamukuttan , Angelique W Chan , Queenie Chan , Himanshu K Chaturvedi , Nish Chaturvedi , Norsyamlina Che Abdul Rahim , Miao Li Chee , Chien-Jen Chen , Fangfang Chen , Huashuai Chen , Shuohua Chen , Zhengming Chen , Ching-Yu Cheng , Bahman Cheraghian , Angela Chetrit , Ekaterina Chikova-Iscener , Arnaud Chiolero , Shu-Ti Chiou , María-Dolores Chirlaque , Belong Cho , Kaare Christensen , Diego G Christofaro , Jerzy Chudek , Renata Cifkova , Michelle Cilia , Eliza Cinteza , Frank Claessens , Janine Clarke , Els Clays , Emmanuel Cohen , Hans Concin , Susana C Confortin , Cyrus Cooper , Tara C Coppinger , Eva Corpeleijn , Simona Costanzo , Dominique Cottel , Chris Cowell , Cora L Craig , Amelia C Crampin , Ana B Crujeiras , Semánová Csilla , Alexandra M Cucu , Liufu Cui , Felipe V Cureau , Ewelina Czenczek-Lewandowska , Graziella D'Arrigo , Eleonora d'Orsi , Liliana Dacica , María Ángeles Dal Re Saavedra , Jean Dallongeville , Camilla T Damsgaard , Rachel Dankner , Thomas M Dantoft , Parasmani Dasgupta , Saeed Dastgiri , Luc Dauchet , Kairat Davletov , Guy De Backer , Dirk De Bacquer , Giovanni de Gaetano , Stefaan De Henauw , Paula Duarte de Oliveira , David De Ridder , Karin De Ridder , Susanne R de Rooij , Delphine De Smedt , Mohan Deepa , Alexander D Deev , Vincent Jr DeGennaro , Abbas Dehghan , Hélène Delisle , Francis Delpeuch , Stefaan Demarest , Elaine Dennison , Katarzyna Dereń , Valérie Deschamps , Meghnath Dhimal , Augusto F Di Castelnuovo , Juvenal Soares Dias-da-Costa , María Elena Díaz-Sánchez , Alejandro Diaz , Zivka Dika , Shirin Djalalinia , Visnja Djordjic , Ha Tp Do , Annette J Dobson , Maria Benedetta Donati , Chiara Donfrancesco , Silvana P Donoso , Angela Döring , Maria Dorobantu , Ahmad Reza Dorosty , Kouamelan Doua , Nico Dragano , Wojciech Drygas , Jia Li Duan , Charmaine A Duante , Priscilla Duboz , Rosemary B Duda , Vesselka Duleva , Virginija Dulskiene , Samuel C Dumith , Anar Dushpanova , Vilnis Dzerve , Elzbieta Dziankowska-Zaborszczyk , Ricky Eddie , Ebrahim Eftekhar , Eruke E Egbagbe , Robert Eggertsen , Sareh Eghtesad , Gabriele Eiben , Ulf Ekelund , Mohammad El-Khateeb , Jalila El Ati , Denise Eldemire-Shearer , Marie Eliasen , Paul Elliott , Reina Engle-Stone , Macia Enguerran , Rajiv T Erasmus , Raimund Erbel , Cihangir Erem , Louise Eriksen , Johan G Eriksson , Jorge Escobedo-de la Peña , Saeid Eslami , Ali Esmaeili , Alun Evans , David Faeh , Albina A Fakhretdinova , Caroline H Fall , Elnaz Faramarzi , Mojtaba Farjam , Victoria Farrugia Sant'Angelo , Farshad Farzadfar , Mohammad Reza Fattahi , Asher Fawwad , Francisco J Felix-Redondo , Trevor S Ferguson , Romulo A Fernandes , Daniel Fernández-Bergés , Daniel Ferrante , Thomas Ferrao , Marika Ferrari , Marco M Ferrario , Catterina Ferreccio , Eldridge Ferrer , Jean Ferrieres , Thamara Hubler Figueiró , Anna Fijalkowska , Günther Fink , Krista Fischer , Leng Huat Foo , Maria Forsner , Heba M Fouad , Damian K Francis , Maria do Carmo Franco , Ruth Frikke-Schmidt , Guillermo Frontera , Flavio D Fuchs , Sandra C Fuchs , Isti I Fujiati , Yuki Fujita , Matsuda Fumihiko , Takuro Furusawa , Zbigniew Gaciong , Mihai Gafencu , Andrzej Galbarczyk , Henrike Galenkamp , Daniela Galeone , Myriam Galfo , Fabio Galvano , Jingli Gao , Manoli Garcia-de-la-Hera , Marta García-Solano , Dickman Gareta , Sarah P Garnett , Jean-Michel Gaspoz , Magda Gasull , Adroaldo Cesar Araujo Gaya , Anelise Reis Gaya , Andrea Gazzinelli , Ulrike Gehring , Harald Geiger , Johanna M Geleijnse , Ali Ghanbari , Erfan Ghasemi , Oana-Florentina Gheorghe-Fronea , Simona Giampaoli , Francesco Gianfagna , Tiffany K Gill , Jonathan Giovannelli , Glen Gironella , Aleksander Giwercman , Konstantinos Gkiouras , Justyna Godos , Sibel Gogen , Marcel Goldberg , Rebecca A Goldsmith , David Goltzman , Santiago F Gómez , Aleksandra Gomula , Bruna Goncalves Cordeiro da Silva , Helen Gonçalves , David A Gonzalez-Chica , Marcela Gonzalez-Gross , Margot González-Leon , Juan P González-Rivas , Clicerio González-Villalpando , María-Elena González-Villalpando , Angel R Gonzalez , Frederic Gottrand , Antonio Pedro Graça , Sidsel Graff-Iversen , Dušan Grafnetter , Aneta Grajda , Maria G Grammatikopoulou , Ronald D Gregor , Tomasz Grodzicki , Else Karin Grøholt , Anders Grøntved , Giuseppe Grosso , Gabriella Gruden , Dongfeng Gu , Emanuela Gualdi-Russo , Pilar Guallar-Castillón , Andrea Gualtieri , Elias F Gudmundsson , Vilmundur Gudnason , Ramiro Guerrero , Idris Guessous , Andre L Guimaraes , Martin C Gulliford , Johanna Gunnlaugsdottir , Marc J Gunter , Xiu-Hua Guo , Yin Guo , Prakash C Gupta , Rajeev Gupta , Oye Gureje , Beata Gurzkowska , Enrique Gutiérrez-González , Laura Gutierrez , Felix Gutzwiller , Seongjun Ha , Farzad Hadaegh , Charalambos A Hadjigeorgiou , Rosa Haghshenas , Hamid Hakimi , Jytte Halkjær , Ian R Hambleton , Behrooz Hamzeh , Dominique Hange , Abu Am Hanif , Sari Hantunen , Jie Hao , Rachakulla Hari Kumar , Seyed Mohammad Hashemi-Shahri , Maria Hassapidou , Jun Hata , Teresa Haugsgjerd , Jiang He , Yuan He , Yuna He , Regina Heidinger-Felso , Mirjam Heinen , Tatjana Hejgaard , Marleen Elisabeth Hendriks , Rafael Dos Santos Henrique , Ana Henriques , Leticia Hernandez Cadena , Sauli Herrala , Victor M Herrera , Isabelle Herter-Aeberli , Ramin Heshmat , Allan G Hill , Sai Yin Ho , Suzanne C Ho , Michael Hobbs , Michelle Holdsworth , Reza Homayounfar , Clara Homs , Wilma M Hopman , Andrea Rvr Horimoto , Claudia M Hormiga , Bernardo L Horta , Leila Houti , Christina Howitt , Thein Thein Htay , Aung Soe Htet , Maung Maung Than Htike , Yonghua Hu , José María Huerta , Ilpo Tapani Huhtaniemi , Laetitia Huiart , Constanta Huidumac Petrescu , Martijn Huisman , Abdullatif Husseini , Chinh Nguyen Huu , Inge Huybrechts , Nahla Hwalla , Jolanda Hyska , Licia Iacoviello , Jesús M Ibarluzea , Mohsen M Ibrahim , Norazizah Ibrahim Wong , M Arfan Ikram , Violeta Iotova , Vilma E Irazola , Takafumi Ishida , Muhammad Islam , Sheikh Mohammed Shariful Islam , Masanori Iwasaki , Jeremy M Jacobs , Hashem Y Jaddou , Tazeen Jafar , Kenneth James , Kazi M Jamil , Konrad Jamrozik , Imre Janszky , Edward Janus , Juel Jarani , Marjo-Riitta Jarvelin , Grazyna Jasienska , Ana Jelakovic , Bojan Jelakovic , Garry Jennings , Anjani Kumar Jha , Chao Qiang Jiang , Ramon O Jimenez , Karl-Heinz Jöckel , Michel Joffres , Mattias Johansson , Jari J Jokelainen , Jost B Jonas , Jitendra Jonnagaddala , Torben Jørgensen , Pradeep Joshi , Farahnaz Joukar , Dragana P Jovic , Jacek J Jóźwiak , Anne Juolevi , Gregor Jurak , Iulia Jurca Simina , Vesna Juresa , Rudolf Kaaks , Felix O Kaducu , Anthony Kafatos , Eero O Kajantie , Zhanna Kalmatayeva , Ofra Kalter-Leibovici , Yves Kameli , Freja B Kampmann , Kodanda R Kanala , Srinivasan Kannan , Efthymios Kapantais , Argyro Karakosta , Line L Kårhus , Khem B Karki , Marzieh Katibeh , Joanne Katz , Peter T Katzmarzyk , Jussi Kauhanen , Prabhdeep Kaur , Maryam Kavousi , Gyulli M Kazakbaeva , Ulrich Keil , Lital Keinan Boker , Sirkka Keinänen-Kiukaanniemi , Roya Kelishadi , Cecily Kelleher , Han Cg Kemper , Andre P Kengne , Maryam Keramati , Alina Kerimkulova , Mathilde Kersting , Timothy Key , Yousef Saleh Khader , Davood Khalili , Kay-Tee Khaw , Bahareh Kheiri , Motahareh Kheradmand , Alireza Khosravi , Ilse Msl Khouw , Ursula Kiechl-Kohlendorfer , Stefan Kiechl , Japhet Killewo , Dong Wook Kim , Hyeon Chang Kim , Jeongseon Kim , Jenny M Kindblom , Heidi Klakk , Magdalena Klimek , Jeannette Klimont , Jurate Klumbiene , Michael Knoflach , Bhawesh Koirala , Elin Kolle , Patrick Kolsteren , Jürgen König , Raija Korpelainen , Paul Korrovits , Magdalena Korzycka , Jelena Kos , Seppo Koskinen , Katsuyasu Kouda , Viktoria A Kovacs , Sudhir Kowlessur , Slawomir Koziel , Jana Kratenova , Wolfgang Kratzer , Susi Kriemler , Peter Lund Kristensen , Steinar Krokstad , Daan Kromhout , Herculina S Kruger , Ruzena Kubinova , Renata Kuciene , Urho M Kujala , Enisa Kujundzic , Zbigniew Kulaga , R Krishna Kumar , Marie Kunešová , Pawel Kurjata , Yadlapalli S Kusuma , Kari Kuulasmaa , Catherine Kyobutungi , Quang Ngoc La , Fatima Zahra Laamiri , Tiina Laatikainen , Carl Lachat , Youcef Laid , Tai Hing Lam , Christina-Paulina Lambrinou , Edwige Landais , Vera Lanska , Georg Lappas , Bagher Larijani , Tint Swe Latt , Laura Lauria , Maria Lazo-Porras , Gwenaëlle Le Coroller , Khanh Le Nguyen Bao , Agnès Le Port , Tuyen D Le , Jeannette Lee , Jeonghee Lee , Paul H Lee , Nils Lehmann , Terho Lehtimäki , Daniel Lemogoum , Naomi S Levitt , Yanping Li , Merike Liivak , Christa L Lilly , Wei-Yen Lim , M Fernanda Lima-Costa , Hsien-Ho Lin , Xu Lin , Yi-Ting Lin , Lars Lind , Allan Linneberg , Lauren Lissner , Mieczyslaw Litwin , Lijuan Liu , Wei-Cheng Lo , Helle-Mai Loit , Khuong Quynh Long , Luis Lopes , Oscar Lopes , Esther Lopez-Garcia , Tania Lopez , Paulo A Lotufo , José Eugenio Lozano , Janice L Lukrafka , Dalia Luksiene , Annamari Lundqvist , Robert Lundqvist , Nuno Lunet , Charles Lunogelo , Michala Lustigová , Edyta Łuszczki , Guansheng Ma , Jun Ma , Xu Ma , George Ll Machado-Coelho , Aristides M Machado-Rodrigues , Luisa M Macieira , Ahmed A Madar , Stefania Maggi , Dianna J Magliano , Sara Magnacca , Emmanuella Magriplis , Gowri Mahasampath , Bernard Maire , Marjeta Majer , Marcia Makdisse , Päivi Mäki , Fatemeh Malekzadeh , Reza Malekzadeh , Rahul Malhotra , Kodavanti Mallikharjuna Rao , Sofia K Malyutina , Lynell V Maniego , Yannis Manios , Jim I Mann , Fariborz Mansour-Ghanaei , Enzo Manzato , Paula Margozzini , Anastasia Markaki , Oonagh Markey , Eliza Markidou Ioannidou , Pedro Marques-Vidal , Larissa Pruner Marques , Jaume Marrugat , Yves Martin-Prevel , Rosemarie Martin , Reynaldo Martorell , Eva Martos , Katharina Maruszczak , Stefano Marventano , Luis P Mascarenhas , Shariq R Masoodi , Ellisiv B Mathiesen , Prashant Mathur , Alicia Matijasevich , Tandi E Matsha , Christina Mavrogianni , Artur Mazur , Jean Claude N Mbanya , Shelly R McFarlane , Stephen T McGarvey , Martin McKee , Stela McLachlan , Rachael M McLean , Scott B McLean , Breige A McNulty , Sounnia Mediene Benchekor , Jurate Medzioniene , Parinaz Mehdipour , Kirsten Mehlig , Amir Houshang Mehrparvar , Aline Meirhaeghe , Jørgen Meisfjord , Christa Meisinger , Ana Maria B Menezes , Geetha R Menon , Gert Bm Mensink , Maria Teresa Menzano , Alibek Mereke , Indrapal I Meshram , Andres Metspalu , Haakon E Meyer , Jie Mi , Kim F Michaelsen , Nathalie Michels , Kairit Mikkel , Karolina Milkowska , Jody C Miller , Cláudia S Minderico , G K Mini , Juan Francisco Miquel , Mohammad Reza Mirjalili , Daphne Mirkopoulou , Erkin Mirrakhimov , Marjeta Mišigoj-Durakovic , Antonio Mistretta , Veronica Mocanu , Pietro A Modesti , Sahar Saeedi Moghaddam , Bahram Mohajer , Mostafa K Mohamed , Shukri F Mohamed , Kazem Mohammad , Zahra Mohammadi , Noushin Mohammadifard , Reza Mohammadpourhodki , Viswanathan Mohan , Salim Mohanna , Muhammad Fadhli Mohd Yusoff , Iraj Mohebbi , Farnam Mohebi , Marie Moitry , Drude Molbo , Line T Møllehave , Niels C Møller , Dénes Molnár , Amirabbas Momenan , Charles K Mondo , Michele Monroy-Valle , Eric Monterrubio-Flores , Kotsedi Daniel K Monyeki , Jin Soo Moon , Mahmood Moosazadeh , Leila B Moreira , Alain Morejon , Luis A Moreno , Karen Morgan , Suzanne N Morin , Erik Lykke Mortensen , George Moschonis , Malgorzata Mossakowska , Aya Mostafa , Anabela Mota-Pinto , Jorge Mota , Mohammad Esmaeel Motlagh , Jorge Motta , Marcos André Moura-Dos-Santos , Malay K Mridha , Kelias P Msyamboza , Thet Thet Mu , Magdalena Muc , Boban Mugoša , Maria L Muiesan , Parvina Mukhtorova , Martina Müller-Nurasyid , Neil Murphy , Jaakko Mursu , Elaine M Murtagh , Kamarul Imran Musa , Sanja Music Milanovic , Vera Musil , Norlaila Mustafa , Iraj Nabipour , Shohreh Naderimagham , Gabriele Nagel , Balkish M Naidu , Farid Najafi , Harunobu Nakamura , Jana Námešná , Ei Ei K Nang , Vinay B Nangia , Martin Nankap , Sameer Narake , Paola Nardone , Matthias Nauck , William A Neal , Azim Nejatizadeh , Chandini Nekkantti , Keiu Nelis , Liis Nelis , Ilona Nenko , Martin Neovius , Flavio Nervi , Chung T Nguyen , Nguyen D Nguyen , Quang Ngoc Nguyen , Ramfis E Nieto-Martínez , Yury P Nikitin , Guang Ning , Toshiharu Ninomiya , Sania Nishtar , Marianna Noale , Oscar A Noboa , Helena Nogueira , Teresa Norat , Maria Nordendahl , Børge G Nordestgaard , Davide Noto , Natalia Nowak-Szczepanska , Mohannad Al Nsour , Irfan Nuhoglu , Eha Nurk , Terence W O'Neill , Dermot O'Reilly , Galina Obreja , Caleb Ochimana , Angélica M Ochoa-Avilés , Eiji Oda , Kyungwon Oh , Kumiko Ohara , Claes Ohlsson , Ryutaro Ohtsuka , Örn Olafsson , Maria Teresa A Olinto , Isabel O Oliveira , Mohd Azahadi Omar , Altan Onat , Sok King Ong , Lariane M Ono , Pedro Ordunez , Rui Ornelas , Ana P Ortiz , Pedro J Ortiz , Merete Osler , Clive Osmond , Sergej M Ostojic , Afshin Ostovar , Johanna A Otero , Kim Overvad , Ellis Owusu-Dabo , Fred Michel Paccaud , Cristina Padez , Ioannis Pagkalos , Elena Pahomova , Karina Mary de Paiva , Andrzej Pajak , Domenico Palli , Alberto Palloni , Luigi Palmieri , Wen-Harn Pan , Songhomitra Panda-Jonas , Arvind Pandey , Francesco Panza , Dimitrios Papandreou , Soon-Woo Park , Suyeon Park , Winsome R Parnell , Mahboubeh Parsaeian , Ionela M Pascanu , Patrick Pasquet , Nikhil D Patel , Ivan Pecin , Mangesh S Pednekar , Nasheeta Peer , Gao Pei , Sergio Viana Peixoto , Markku Peltonen , Alexandre C Pereira , Marco A Peres , Napoleón Pérez-Farinós , Cynthia M Pérez , Valentina Peterkova , Annette Peters , Astrid Petersmann , Janina Petkeviciene , Ausra Petrauskiene , Emanuela Pettenuzzo , Niloofar Peykari , Son Thai Pham , Rafael N Pichardo , Daniela Pierannunzio , Iris Pigeot , Hynek Pikhart , Aida Pilav , Lorenza Pilotto , Francesco Pistelli , Freda Pitakaka , Aleksandra Piwonska , Andreia N Pizarro , Pedro Plans-Rubió , Bee Koon Poh , Hermann Pohlabeln , Raluca M Pop , Stevo R Popovic , Miquel Porta , Georg Posch , Anil Poudyal , Dimitrios Poulimeneas , Hamed Pouraram , Farhad Pourfarzi , Akram Pourshams , Hossein Poustchi , Rajendra Pradeepa , Alison J Price , Jacqueline F Price , Rui Providencia , Jardena J Puder , Iveta Pudule , Soile E Puhakka , Maria Puiu , Margus Punab , Radwan F Qasrawi , Mostafa Qorbani , Tran Quoc Bao , Ivana Radic , Ricardas Radisauskas , Salar Rahimikazerooni , Mahfuzar Rahman , Mahmudur Rahman , Olli Raitakari , Manu Raj , Ellina Rakhimova , Sherali Rakhmatulloev , Ivo Rakovac , Sudha Ramachandra Rao , Ambady Ramachandran , Jacqueline Ramke , Elisabete Ramos , Rafel Ramos , Lekhraj Rampal , Sanjay Rampal , Vayia Rarra , Ramon A Rascon-Pacheco , Mette Rasmussen , Cassiano Ricardo Rech , Josep Redon , Paul Ferdinand M Reganit , Valéria Regecová , Luis Revilla , Abbas Rezaianzadeh , Lourdes Ribas-Barba , Robespierre Ribeiro , Elio Riboli , Adrian Richter , Fernando Rigo , Natascia Rinaldo , Tobias F Rinke de Wit , Ana Rito , Raphael M Ritti-Dias , Juan A Rivera , Cynthia Robitaille , Romana Roccaldo , Daniela Rodrigues , Fernando Rodríguez-Artalejo , María Del Cristo Rodriguez-Perez , Laura A Rodríguez-Villamizar , Ulla Roggenbuck , Rosalba Rojas-Martinez , Nipa Rojroongwasinkul , Dora Romaguera , Elisabetta L Romeo , Rafaela V Rosario , Annika Rosengren , Ian Rouse , Joel Gr Roy , Adolfo Rubinstein , Frank J Rühli , Jean-Bernard Ruidavets , Blanca Sandra Ruiz-Betancourt , Maria Ruiz-Castell , Emma Ruiz Moreno , Iuliia A Rusakova , Kenisha Russell Jonsson , Paola Russo , Petra Rust , Marcin Rutkowski , Charumathi Sabanayagam , Elena Sacchini , Harshpal S Sachdev , Alireza Sadjadi , Ali Reza Safarpour , Saeid Safiri , Nader Saki , Benoit Salanave , Eduardo Salazar Martinez , Diego Salmerón , Veikko Salomaa , Jukka T Salonen , Massimo Salvetti , Margarita Samoutian , Jose Sánchez-Abanto , Sandjaja , Susana Sans , Loreto Santa Marina , Diana A Santos , Ina S Santos , Lèlita C Santos , Maria Paula Santos , Osvaldo Santos , Rute Santos , Sara Santos Sanz , Jouko L Saramies , Luis B Sardinha , Nizal Sarrafzadegan , Thirunavukkarasu Sathish , Kai-Uwe Saum , Savvas Savva , Mathilde Savy , Norie Sawada , Mariana Sbaraini , Marcia Scazufca , Beatriz D Schaan , Angelika Schaffrath Rosario , Herman Schargrodsky , Anja Schienkiewitz , Sabine Schipf , Carsten O Schmidt , Ida Maria Schmidt , Peter Schnohr , Ben Schöttker , Sara Schramm , Stine Schramm , Helmut Schröder , Constance Schultsz , Aletta E Schutte , Aye Aye Sein , Rusidah Selamat , Vedrana Sember , Abhijit Sen , Idowu O Senbanjo , Sadaf G Sepanlou , Victor Sequera , Luis Serra-Majem , Jennifer Servais , Ludmila Ševcíková , Svetlana A Shalnova , Teresa Shamah-Levy , Morteza Shamshirgaran , Coimbatore Subramaniam Shanthirani , Maryam Sharafkhah , Sanjib K Sharma , Jonathan E Shaw , Amaneh Shayanrad , Ali Akbar Shayesteh , Lela Shengelia , Zumin Shi , Kenji Shibuya , Hana Shimizu-Furusawa , Dong Wook Shin , Majid Shirani , Rahman Shiri , Namuna Shrestha , Khairil Si-Ramlee , Alfonso Siani , Rosalynn Siantar , Abla M Sibai , Antonio M Silva , Diego Augusto Santos Silva , Mary Simon , Judith Simons , Leon A Simons , Agneta Sjöberg , Michael Sjöström , Gry Skodje , Jolanta Slowikowska-Hilczer , Przemyslaw Slusarczyk , Liam Smeeth , Hung-Kwan So , Fernanda Cunha Soares , Grzegorz Sobek , Eugène Sobngwi , Morten Sodemann , Stefan Söderberg , Moesijanti Ye Soekatri , Agustinus Soemantri , Reecha Sofat , Vincenzo Solfrizzi , Mohammad Hossein Somi , Emily Sonestedt , Yi Song , Thorkild Ia Sørensen , Elin P Sørgjerd , Charles Sossa Jérome , Victoria E Soto-Rojas , Aïcha Soumaré , Slavica Sovic , Bente Sparboe-Nilsen , Karen Sparrenberger , Angela Spinelli , Igor Spiroski , Jan A Staessen , Hanspeter Stamm , Maria G Stathopoulou , Kaspar Staub , Bill Stavreski , Jostein Steene-Johannessen , Peter Stehle , Aryeh D Stein , George S Stergiou , Jochanan Stessman , Ranko Stevanovic , Jutta Stieber , Doris Stöckl , Tanja Stocks , Jakub Stokwiszewski , Ekaterina Stoyanova , Gareth Stratton , Karien Stronks , Maria Wany Strufaldi , Lela Sturua , Ramón Suárez-Medina , Machi Suka , Chien-An Sun , Johan Sundström , Yn-Tz Sung , Jordi Sunyer , Paibul Suriyawongpaisal , Boyd A Swinburn , Rody G Sy , Holly E Syddall , René Charles Sylva , Moyses Szklo , Lucjan Szponar , E Shyong Tai , Mari-Liis Tammesoo , Abdonas Tamosiunas , Eng Joo Tan , Xun Tang , Maya Tanrygulyyeva , Frank Tanser , Yong Tao , Mohammed Rasoul Tarawneh , Jakob Tarp , Carolina B Tarqui-Mamani , Radka Taxová Braunerová , Anne Taylor , Julie Taylor , Félicité Tchibindat , William R Tebar , Grethe S Tell , Tania Tello , Yih Chung Tham , K R Thankappan , Holger Theobald , Xenophon Theodoridis , Lutgarde Thijs , Nihal Thomas , Betina H Thuesen , Lubica Tichá , Erik J Timmermans , Anne Tjonneland , Hanna K Tolonen , Janne S Tolstrup , Murat Topbas , Roman Topór-Madry , Liv Elin Torheim , María José Tormo , Michael J Tornaritis , Maties Torrent , Laura Torres-Collado , Stefania Toselli , Giota Touloumi , Pierre Traissac , Thi Tuyet-Hanh Tran , Dimitrios Trichopoulos , Antonia Trichopoulou , Oanh Th Trinh , Atul Trivedi , Lechaba Tshepo , Maria Tsigga , Shoichiro Tsugane , Azaliia M Tuliakova , Marshall K Tulloch-Reid , Fikru Tullu , Tomi-Pekka Tuomainen , Jaakko Tuomilehto , Maria L Turley , Gilad Twig , Per Tynelius , Themistoklis Tzotzas , Christophe Tzourio , Peter Ueda , Eunice Ugel , Flora Am Ukoli , Hanno Ulmer , Belgin Unal , Zhamyila Usupova , Hannu Mt Uusitalo , Nalan Uysal , Justina Vaitkeviciute , Gonzalo Valdivia , Susana Vale , Damaskini Valvi , Rob M van Dam , Johan Van der Heyden , Yvonne T van der Schouw , Koen Van Herck , Hoang Van Minh , Natasja M 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Weghuber , Wenbin Wei , Aneta Weres , Bo Werner , Peter H Whincup , Kurt Widhalm , Indah S Widyahening , Andrzej Wiecek , Rainford J Wilks , Johann Willeit , Peter Willeit , Julianne Williams , Tom Wilsgaard , Bogdan Wojtyniak , Roy A Wong-McClure , Andrew Wong , Jyh Eiin Wong , Tien Yin Wong , Jean Woo , Mark Woodward , Frederick C Wu , Jianfeng Wu , Li Juan Wu , Shouling Wu , Haiquan Xu , Liang Xu , Nor Azwany Yaacob , Uruwan Yamborisut , Weili Yan , Ling Yang , Xiaoguang Yang , Yang Yang , Nazan Yardim , Mehdi Yaseri , Tabara Yasuharu , Xingwang Ye , Panayiotis K Yiallouros , Moein Yoosefi , Akihiro Yoshihara , Qi Sheng You , San-Lin You , Novie O Younger-Coleman , Safiah Md Yusof , Ahmad Faudzi Yusoff , Luciana Zaccagni , Vassilis Zafiropulos , Ahmad A Zainuddin , Seyed Rasoul Zakavi , Farhad Zamani , Sabina Zambon , Antonis Zampelas , Hana Zamrazilová , Maria Elisa Zapata , Abdul Hamid Zargar , Ko Ko Zaw , Tomasz Zdrojewski , Kristyna Zejglicova , Tajana Zeljkovic Vrkic , Yi Zeng 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Claude N, McFarlane, Shelly R, McGarvey, Stephen T, McKee, Martin, McLachlan, Stela, McLean, Rachael M, McLean, Scott B, McNulty, Breige A, Benchekor, Sounnia Mediene, Medzioniene, Jurate, Mehdipour, Parinaz, Mehlig, Kirsten, Mehrparvar, Amir Houshang, Meirhaeghe, Aline, Meisfjord, Jørgen, Meisinger, Christa, Menezes, Ana Maria B, Menon, Geetha R, Mensink, Gert BM, Menzano, Maria Teresa, Mereke, Alibek, Meshram, Indrapal I, Metspalu, Andre, Meyer, Haakon E, Mi, Jie, Michaelsen, Kim F, Michels, Nathalie, Mikkel, Kairit, Milkowska, Karolina, Miller, Jody C, Minderico, Cláudia S, Mini, GK, Miquel, Juan Francisco, Mirjalili, Mohammad Reza, Mirkopoulou, Daphne, Mirrakhimov, Erkin, Mišigoj-Durakovic, Marjeta, Mistretta, Antonio, Mocanu, Veronica, Modesti, Pietro A, Moghaddam, Sahar Saeedi, Mohajer, Bahram, Mohamed, Mostafa K, Mohamed, Shukri F, Mohammad, Kazem, Mohammadi, Zahra, Mohammadifard, Noushin, Mohammadpourhodki, Reza, Mohan, Viswanathan, Mohanna, Salim, Yusoff, Muhammad Fadhli Mohd, Mohebbi, Iraj, Mohebi, Farnam, Moitry, Marie, Molbo, Drude, Møllehave, Line T, Møller, Niels C, Molnár, Déne, Momenan, Amirabba, Mondo, Charles K, Monroy-Valle, Michele, Monterrubio-Flores, Eric, Monyeki, Kotsedi Daniel K, Moon, Jin Soo, Moosazadeh, Mahmood, Moreira, Leila B, Morejon, Alain, Moreno, Luis A, Morgan, Karen, Morin, Suzanne N, Mortensen, Erik Lykke, Moschonis, George, Mossakowska, Malgorzata, Mostafa, Aya, Mota-Pinto, Anabela, Mota, Jorge, Motlagh, Mohammad Esmaeel, Motta, Jorge, Moura-dos-Santos, Marcos André, Mridha, Malay K, Msyamboza, Kelias P, Mu, Thet Thet, Muc, Magdalena, Mugoša, Boban, Muiesan, Maria L, Mukhtorova, Parvina, Müller-Nurasyid, Martina, Murphy, Neil, Mursu, Jaakko, Murtagh, Elaine M, Musa, Kamarul Imran, Milanovic, Sanja Music, Musil, Vera, Mustafa, Norlaila, Nabipour, Iraj, Naderimagham, Shohreh, Nagel, Gabriele, Naidu, Balkish M, Najafi, Farid, Nakamura, Harunobu, Námešná, Jana, Ei K Nang, Ei, Nangia, Vinay B, Nankap, Martin, Narake, Sameer, Nardone, Paola, Nauck, Matthia, Neal, William A, Nejatizadeh, Azim, Nekkantti, Chandini, Nelis, Keiu, Nelis, Lii, Nenko, Ilona, Neovius, Martin, Nervi, Flavio, Nguyen, Chung T, Nguyen, Nguyen D, Nguyen, Quang Ngoc, Nieto-Martínez, Ramfis E, Nikitin, Yury P, Ning, Guang, Ninomiya, Toshiharu, Nishtar, Sania, Noale, Marianna, Noboa, Oscar A, Nogueira, Helena, Norat, Teresa, Nordendahl, Maria, Nordestgaard, Børge G, Noto, Davide, Nowak-Szczepanska, Natalia, Al Nsour, Mohannad, Nuhoglu, Irfan, Nurk, Eha, O'Neill, Terence W, O'Reilly, Dermot, Obreja, Galina, Ochimana, Caleb, Ochoa-Avilés, Angélica M, Oda, Eiji, Oh, Kyungwon, Ohara, Kumiko, Ohlsson, Clae, Ohtsuka, Ryutaro, Olafsson, Örn, Olinto, Maria Teresa A, Oliveira, Isabel O, Omar, Mohd Azahadi, Onat, Altan, Ong, Sok King, Ono, Lariane M, Ordunez, Pedro, Ornelas, Rui, Ortiz, Ana P, Ortiz, Pedro J, Osler, Merete, Osmond, Clive, Ostojic, Sergej M, Ostovar, Afshin, Otero, Johanna A, Overvad, Kim, Owusu-Dabo, Elli, Paccaud, Fred Michel, Padez, Cristina, Pagkalos, Ioanni, Pahomova, Elena, de Paiva, Karina Mary, Pajak, Andrzej, Palli, Domenico, Palloni, Alberto, Palmieri, Luigi, Pan, Wen-Harn, Panda-Jonas, Songhomitra, Pandey, Arvind, Panza, Francesco, Papandreou, Dimitrio, Park, Soon-Woo, Park, Suyeon, Parnell, Winsome R, Parsaeian, Mahboubeh, Pascanu, Ionela M, Pasquet, Patrick, Patel, Nikhil D, Pecin, Ivan, Pednekar, Mangesh S, Peer, Nasheeta, Pei, Gao, Peixoto, Sergio Viana, Peltonen, Markku, Pereira, Alexandre C, Peres, Marco A, Pérez-Farinós, Napoleón, Pérez, Cynthia M, Peterkova, Valentina, Peters, Annette, Petersmann, Astrid, Petkeviciene, Janina, Petrauskiene, Ausra, Pettenuzzo, Emanuela, Peykari, Niloofar, Pham, Son Thai, Pichardo, Rafael N, Pierannunzio, Daniela, Pigeot, Iri, Pikhart, Hynek, Pilav, Aida, Pilotto, Lorenza, Pistelli, Francesco, Pitakaka, Freda, Piwonska, Aleksandra, Pizarro, Andreia N, Plans-Rubió, Pedro, Poh, Bee Koon, Pohlabeln, Hermann, Pop, Raluca M, Popovic, Stevo R, Porta, Miquel, Posch, Georg, Poudyal, Anil, Poulimeneas, Dimitrio, Pouraram, Hamed, Pourfarzi, Farhad, Pourshams, Akram, Poustchi, Hossein, Pradeepa, Rajendra, Price, Alison J, Price, Jacqueline F, Providencia, Rui, Puder, Jardena J, Pudule, Iveta, Puhakka, Soile E, Puiu, Maria, Punab, Margu, Qasrawi, Radwan F, Qorbani, Mostafa, Bao, Tran Quoc, Radic, Ivana, Radisauskas, Ricarda, Rahimikazerooni, Salar, Rahman, Mahfuzar, Rahman, Mahmudur, Raitakari, Olli, Raj, Manu, Rakhimova, Ellina, Rakhmatulloev, Sherali, Rakovac, Ivo, Rao, Sudha Ramachandra, Ramachandran, Ambady, Ramke, Jacqueline, Ramos, Elisabete, Ramos, Rafel, Rampal, Lekhraj, Rampal, Sanjay, Rarra, Vayia, Rascon-Pacheco, Ramon A, Rasmussen, Mette, Rech, Cassiano Ricardo, Redon, Josep, Reganit, Paul Ferdinand M, Regecová, Valéria, Revilla, Lui, Rezaianzadeh, Abba, Ribas-Barba, Lourde, Ribeiro, Robespierre, Riboli, Elio, Richter, Adrian, Rigo, Fernando, Rinaldo, Natascia, de Wit, Tobias F Rinke, Rito, Ana, Ritti-Dias, Raphael M, Rivera, Juan A, Robitaille, Cynthia, Roccaldo, Romana, Rodrigues, Daniela, Rodríguez-Artalejo, Fernando, del Cristo Rodriguez-Perez, María, Rodríguez-Villamizar, Laura A, Roggenbuck, Ulla, Rojas-Martinez, Rosalba, Rojroongwasinkul, Nipa, Romaguera, Dora, Romeo, Elisabetta L, Rosario, Rafaela V, Rosengren, Annika, Rouse, Ian, Roy, Joel GR, Rubinstein, Adolfo, Rühli, Frank J, Ruidavets, Jean-Bernard, Ruiz-Betancourt, Blanca Sandra, Ruiz-Castell, Maria, Moreno, Emma Ruiz, Rusakova, Iuliia A, Jonsson, Kenisha Russell, Russo, Paola, Rust, Petra, Rutkowski, Marcin, Sabanayagam, Charumathi, Sacchini, Elena, Sachdev, Harshpal S, Sadjadi, Alireza, Safarpour, Ali Reza, Safiri, Saeid, Saki, Nader, Salanave, Benoit, Martinez, Eduardo Salazar, Salmerón, Diego, Salomaa, Veikko, Salonen, Jukka T, Salvetti, Massimo, Samoutian, Margarita, Sánchez-Abanto, Jose, Sandjaja, null, Sans, Susana, Marina, Loreto Santa, Santos, Diana A, Santos, Ina S, Santos, Lèlita C, Santos, Maria Paula, Santos, Osvaldo, Santos, Rute, Sanz, Sara Santo, Saramies, Jouko L, Sardinha, Luis B, Sarrafzadegan, Nizal, Sathish, Thirunavukkarasu, Saum, Kai-Uwe, Savva, Savva, Savy, Mathilde, Sawada, Norie, Sbaraini, Mariana, Scazufca, Marcia, Schaan, Beatriz D, Rosario, Angelika Schaffrath, Schargrodsky, Herman, Schienkiewitz, Anja, Schipf, Sabine, Schmidt, Carsten O, Schmidt, Ida Maria, Schnohr, Peter, Schöttker, Ben, Schramm, Sara, Schramm, Stine, Schröder, Helmut, Schultsz, Constance, Schutte, Aletta E, Sein, Aye Aye, Selamat, Rusidah, Sember, Vedrana, Sen, Abhijit, Senbanjo, Idowu O, Sepanlou, Sadaf G, Sequera, Victor, Serra-Majem, Lui, Servais, Jennifer, Ševcíková, Ludmila, Shalnova, Svetlana A, Shamah-Levy, Teresa, Shamshirgaran, Morteza, Shanthirani, Coimbatore Subramaniam, Sharafkhah, Maryam, Sharma, Sanjib K, Shaw, Jonathan E, Shayanrad, Amaneh, Shayesteh, Ali Akbar, Shengelia, Lela, Shi, Zumin, Shibuya, Kenji, Shimizu-Furusawa, Hana, Shin, Dong Wook, Shirani, Majid, Shiri, Rahman, Shrestha, Namuna, Si-Ramlee, Khairil, Siani, Alfonso, Siantar, Rosalynn, Sibai, Abla M, Silva, Antonio M, Silva, Diego Augusto Santo, Simon, Mary, Simons, Judith, Simons, Leon A, Sjöberg, Agneta, Sjöström, Michael, Skodje, Gry, Slowikowska-Hilczer, Jolanta, Slusarczyk, Przemyslaw, Smeeth, Liam, So, Hung-Kwan, Soares, Fernanda Cunha, Sobek, Grzegorz, Sobngwi, Eugène, Sodemann, Morten, Söderberg, Stefan, Soekatri, Moesijanti YE, Soemantri, Agustinu, Sofat, Reecha, Solfrizzi, Vincenzo, Somi, Mohammad Hossein, Sonestedt, Emily, Song, Yi, Sørensen, Thorkild IA, Sørgjerd, Elin P, Jérome, Charles Sossa, Soto-Rojas, Victoria E, Soumaré, Aïcha, Sovic, Slavica, Sparboe-Nilsen, Bente, Sparrenberger, Karen, Spinelli, Angela, Spiroski, Igor, Staessen, Jan A, Stamm, Hanspeter, Stathopoulou, Maria G, Staub, Kaspar, Stavreski, Bill, Steene-Johannessen, Jostein, Stehle, Peter, Stein, Aryeh D, Stergiou, George S, Stessman, Jochanan, Stevanovic, Ranko, Stieber, Jutta, Stöckl, Dori, Stocks, Tanja, Stokwiszewski, Jakub, Stoyanova, Ekaterina, Stratton, Gareth, Stronks, Karien, Strufaldi, Maria Wany, Sturua, Lela, Suárez-Medina, Ramón, Suka, Machi, Sun, Chien-An, Sundström, Johan, Sung, Yn-Tz, Sunyer, Jordi, Suriyawongpaisal, Paibul, Swinburn, Boyd A, Sy, Rody G, Syddall, Holly E, Sylva, René Charle, Szklo, Moyse, Szponar, Lucjan, Tai, E Shyong, Tammesoo, Mari-Lii, Tamosiunas, Abdona, Tan, Eng Joo, Tang, Xun, Tanrygulyyeva, Maya, Tanser, Frank, Tao, Yong, Tarawneh, Mohammed Rasoul, Tarp, Jakob, Tarqui-Mamani, Carolina B, Braunerová, Radka Taxová, Taylor, Anne, Taylor, Julie, Tchibindat, Félicité, Tebar, William R, Tell, Grethe S, Tello, Tania, Tham, Yih Chung, Thankappan, KR, Theobald, Holger, Theodoridis, Xenophon, Thijs, Lutgarde, Thomas, Nihal, Thuesen, Betina H, Tichá, Lubica, Timmermans, Erik J, Tjonneland, Anne, Tolonen, Hanna K, Tolstrup, Janne S, Topbas, Murat, Topór-Madry, Roman, Torheim, Liv Elin, Tormo, María José, Tornaritis, Michael J, Torrent, Matie, Torres-Collado, Laura, Toselli, Stefania, Touloumi, Giota, Traissac, Pierre, Tran, Thi Tuyet-Hanh, Trichopoulos, Dimitrio, Trichopoulou, Antonia, Trinh, Oanh TH, Trivedi, Atul, Tshepo, Lechaba, Tsigga, Maria, Tsugane, Shoichiro, Tuliakova, Azaliia M, Tulloch-Reid, Marshall K, Tullu, Fikru, Tuomainen, Tomi-Pekka, Tuomilehto, Jaakko, Turley, Maria L, Twig, Gilad, Tynelius, Per, Tzotzas, Themistokli, Tzourio, Christophe, Ueda, Peter, Ugel, Eunice, Ukoli, Flora AM, Ulmer, Hanno, Unal, Belgin, Usupova, Zhamyila, Uusitalo, Hannu MT, Uysal, Nalan, Vaitkeviciute, Justina, Valdivia, Gonzalo, Vale, Susana, Valvi, Damaskini, van Dam, Rob M, Van der Heyden, Johan, van der Schouw, Yvonne T, Van Herck, Koen, Van Minh, Hoang, Van Schoor, Natasja M, van Valkengoed, Irene GM, Vanderschueren, Dirk, Vanuzzo, Diego, Varbo, Anette, Varela-Moreiras, Gregorio, Varona-Pérez, Patricia, Vasan, Senthil K, Vega, Toma, Veidebaum, Tooma, Velasquez-Melendez, Gustavo, Velika, Biruta, Veronesi, Giovanni, Verschuren, WM Monique, Victora, Cesar G, Viegi, Giovanni, Viet, Lucie, Villalpando, Salvador, Vineis, Paolo, Vioque, Jesu, Virtanen, Jyrki K, Visser, Marjolein, Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vladulescu, Mihaela, Vlasoff, Tiina, Vocanec, Dorja, Vollenweider, Peter, Völzke, Henry, Voutilainen, Ari, Voutilainen, Sari, Vrijheid, Martine, Vrijkotte, Tanja GM, Wade, Alisha N, Wagner, Aline, Waldhör, Thoma, Walton, Janette, Wambiya, Elvis OA, Bebakar, Wan Mohamad Wan, Mohamud, Wan Nazaimoon Wan, de Souza Wanderley Júnior, Rildo, Wang, Ming-Dong, Wang, Ningli, Wang, Qian, Wang, Xiangjun, Wang, Ya Xing, Wang, Ying-Wei, Wannamethee, S Goya, Wareham, Nichola, Weber, Adelheid, Wedderkopp, Niel, Weerasekera, Deepa, Weghuber, Daniel, Wei, Wenbin, Weres, Aneta, Werner, Bo, Whincup, Peter H, Widhalm, Kurt, Widyahening, Indah S, Wiecek, Andrzej, Wilks, Rainford J, Willeit, Johann, Willeit, Peter, Williams, Julianne, Wilsgaard, Tom, Wojtyniak, Bogdan, Wong-McClure, Roy A, Wong, Andrew, Wong, Jyh Eiin, Wong, Tien Yin, Woo, Jean, Woodward, Mark, Wu, Frederick C, Wu, Jianfeng, Wu, Li Juan, Wu, Shouling, Xu, Haiquan, Xu, Liang, Yaacob, Nor Azwany, Yamborisut, Uruwan, Yan, Weili, Yang, Ling, Yang, Xiaoguang, Yang, Yang, Yardim, Nazan, Yaseri, Mehdi, Yasuharu, Tabara, Ye, Xingwang, Yiallouros, Panayiotis K, Yoosefi, Moein, Yoshihara, Akihiro, You, Qi Sheng, You, San-Lin, Younger-Coleman, Novie O, Md Yusof, Safiah, Yusoff, Ahmad Faudzi, Zaccagni, Luciana, Zafiropulos, Vassili, Zainuddin, Ahmad A, Zakavi, Seyed Rasoul, Zamani, Farhad, Zambon, Sabina, Zampelas, Antoni, Zamrazilová, Hana, Zapata, Maria Elisa, Zargar, Abdul Hamid, Ko Zaw, Ko, Zdrojewski, Tomasz, Zejglicova, Kristyna, Vrkic, Tajana Zeljkovic, Zeng, Yi, Zhang, Luxia, Zhang, Zhen-Yu, Zhao, Dong, Zhao, Ming-Hui, Zhao, Wenhua, Zhen, Shiqi, Zheng, Wei, Zheng, Yingfeng, Zholdin, Bekbolat, Zhou, Maigeng, Zhu, Dan, Zins, Marie, Zitt, Emanuel, Zocalo, Yanina, Cisneros, Julio Zuñiga, Zuziak, Monika, Ezzati, Majid, Filippi, Sarah, Cohortes épidémiologiques en population (CONSTANCES), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Université Paris Cité (UPCité), Université Paris Cité (UPCité), Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)
Subjects: Population -- Health aspects, Leanness, Baixo peso/Underweight, none, Double burden, alipainoisuus, tulotaso, global health, systematic analysis, Sedentary behaviors, RC1200, Prospective associations, 0302 clinical medicine, underweight, nälänhätä, Biology (General), skin and connective tissue diseases, Children, ComputingMilieux_MISCELLANEOUS, Body mass index, Human Nutrition & Health, education.field_of_study, Humane Voeding & Gezondheid, ylipaino, General Medicine, kansainvälinen vertailu, 3. Good health, World health, Medicine, A100 Pre-clinical Medicine, Population distribution, medicine.medical_specialty, QH301-705.5, Science, Socio-culturale, Nursing, Social sciences, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, Thinness, SDG 3 - Good Health and Well-being, BMI, epidemiology, obesity, None, Humans, Obesidade/Obesity, SDG 2 - Zero Hunger, education, VLAG, US adults, Omvårdnad, body mass index, malnutrition, obesity, underweight, nutritional and metabolic diseases, medicine.disease, terveellisyys, Obesity, Faculdade de Ciências Sociais, Body Mass Index, Prevalence, Risk Factors, General Biochemistry, WIAS, lihavuus, RA, Demography, N.A, double burden, Settore MED/09 - Medicina Interna, alueelliset erot, Nutrition and Disease, Animal Nutrition, [SDV]Life Sciences [q-bio], Medizin, 030204 cardiovascular system & hematology, 0601 Biochemistry and Cell Biology, Change distribution of body mass index, RA0421, Voeding en Ziekte, Epidemiology, Medicine and Health Sciences, Global health, Índice de massa corporal/Body Mass Index, 030212 general & internal medicine, Underweight, painoindeksi, 2. Zero hunger, General Neuroscience, aliravitsemus, elintarvikkeet, health, Public Health, Global Health, Social Medicine and Epidemiology, Diervoeding, 3142 Public health care science, environmental and occupational health, purl.org/pe-repo/ocde/ford#3.01.03 [https], Chinese adults, pooled analysis, medicine.symptom, Diet quality, B120 Physiology, Research Article, trends, purl.org/pe-repo/ocde/ford#1.06.03 [https], prevalence, Population, Mothers, Genetics and Molecular Biology, 3121 Internal medicine, medicine, Life Science, ddc:610, 3125 Otorhinolaryngology, ophthalmology, kehonkoostumus, Nutrition, Australian adults, General Immunology and Microbiology, purl.org/pe-repo/ocde/ford#3.01.04 [https], Ciências sociais, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Malnutrition, Epidemiology and Global Health, sense organs, Estilos de Vida e Impacto na Saúde
Abstract: From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions., Wellcome Trust, Medical Research Council, peer-reviewed
Published: 2021

48. Beneficial Primary Outcomes of Metabolic Surgery with Changes in Telomere Length and Mitochondrial DNA in Obese Asian Indians with Dysglycemia

Author: Sundaramoorthy, Chandru, Paramasivam, Prabhu, Muthuswamy, Balasubramanyam, Radhakrishnan, Subhashini, Mangesh, Tiwaskar, Thyparambil Aravindakshan, Pramodkumar, Rajendra, Pradeepa, Ranjit Mohan, Anjana, and Viswanathan, Mohan
Subjects: Diabetes Mellitus, Type 2, Bariatric Surgery, Humans, Obesity, Prospective Studies, Telomere, DNA, Mitochondrial, Follow-Up Studies
Abstract: Although metabolic surgery has been shown to offer beneficial primary outcome results in obese individuals / obese Type 2 diabetes mellitus (T2DM) patients, there is paucity of information on the underlying mechanisms. In the recent years, estimations of non-invasive molecular parameters viz., telomere length and mtDNA copy number (mtDNAcn) assume significance as robust biomarkers. However, there is lack of evidence about this especially, in the Indian context. To assess the changes in the telomere length and mtDNAcn levels after metabolic surgery in obese Asian Indians with dysglycemia along with routine measurements of anthropometry, glycemic/lipidimic parameters and inflammatory markers.This study is a prospective one-year follow-up study of 16 obese individuals with dysglycemia who underwent metabolic surgery at a tertiary diabetes centre in South India. Telomere length, mtDNAcn, serum adiponectin, glycated haemoglobin and high- sensitivity C-reactive protein (hs-CRP) levels were analysed before surgery and at 6 and 12 months after surgery.There was a significant reduction in weight (plt;0.001), BMI (plt;0.001), waist circumference (plt;0.001), fasting and postprandial glucose (plt;0.05), HbA1c (plt;0.001), triglycerides (plt;0.05), hs CRP (plt;0.05) and increase in serum adiponectin (plt;0.05) at 6 and 12 months post-surgery compared to the preoperative status. There was a significant reduction in mtDNAcn (plt;0.001) and a significant increase in telomere length (plt;0.001) at 6 and 12 months post metabolic surgery.We report an increase in telomere length and decrease in circulatory mtDNA copy number levels at 6 and 12 months post metabolic surgery in obese individuals with T2DM in India.
Published: 2021

49. Young onset diabetes in Asian Indians is associated with lower measured and genetically determined beta-cell function: an INSPIRED study

Author: R M Anjana, Adem Y. Dawed, Moneeza K. Siddiqui, Sundararajan Srinivasan, Jebarani Saravanan, Abirami Veluchamy, Rajendra Pradeepa, Ewan R. Pearson, Sathish K Madanagopal, Cyrielle Martoeau, Viswanathan Mohan, Naveed Sattar, Colin N. A. Palmer, and Radha Venkatesan
Subjects: business.industry, Asian Indian, Young-onset diabetes, Beta-cell Function, Type 2 diabetes, Overweight, medicine.disease, Diabetes mellitus, Cohort, Medicine, Family history, medicine.symptom, business, Demography
Abstract: BackgroundSouth Asians have higher risk of type 2 diabetes compared to white Europeans and a younger age of onset. Reasons for the younger age of onset in relation to beta-cell function and insulin sensitivity are under-explored.MethodsTwo cohorts of Asian Indians, ICMR-INDIAB (Indian Council of Medical Research-INdia DIABetes Study) and DMDSC (Dr. Mohan’s Diabetes Specialties Centre) and one of white Europeans, ESDC (East Scotland Diabetes Cohort) were used. We examined the comparative prevalence of healthy, overweight, and obese BMI in young onset diabetes. We explored the role of clinically measured beta-cell function in diabetes onset in Asian Indians. Finally, the comparative distribution of a partitioned polygenic score (pPS) for risk of diabetes due to poor beta cell function was examined.ResultsPrevalence of young onset with normal BMI was 9.3% amongst white Europeans and 24%-39% amongst Asian Indians. In young diagnosed Asian Indians, after adjustment for family history of T2DM, sex, insulin sensitivity and HDL-c, stimulated C-peptide was 492pmol/mL (IQR: 353,616,PConclusionsAsian Indians have over two times the prevalence of lean BMI in young onset diabetes compared to white Europeans. This phenotype of lean, young onset diabetes appears driven in part by lower beta cell function. We demonstrate that Asian Indians with diabetes also have lower genetically determined beta cell function.
Published: 2021

50. Frequency of iron deficiency anemia in type 2 diabetes - Insights from tertiary diabetes care centres across India

Author: Rajendra Pradeepa, Lal Shreya, Ranjit Mohan Anjana, Saravanan Jebarani, Nithyanantham Kamal Raj, Madhan Srinivasan Kumar, Parthasarathy Jayaganesh, Onkar C. Swami, and Viswanathan Mohan
Subjects: Male, Adult, Blood Glucose, Adolescent, Anemia, Iron-Deficiency, Iron, Endocrinology, Diabetes and Metabolism, Anemia, Iron Deficiencies, General Medicine, Hemoglobins, Diabetes Mellitus, Type 2, Ferritins, Internal Medicine, Humans, Female, Retrospective Studies
Abstract: To study the frequency of iron deficiency anemia (IDA) in individuals with type 2 diabetes mellitus (T2DM) seen at tertiary diabetes care centres across India.This is a retrospective study (January 1, 2017-December 31, 2019), which included 1137 individuals with T2DM, aged ≥18 years, for whom data on glycemic, lipid and haematological parameters were available. Anthropometric measurements were done using standardized techniques. Biochemical investigations included fasting plasma glucose[FPG], post prandial plasma glucose, HbA1c, lipids and serum ferritin and iron wherever feasible.Of the 1137 individuals included for the study, 117 (10.3%) were categorized as no 'iron deficiency' (ID) group [normal hemoglobin: male ≥13 g/dl, female ≥12 g/dl and normal serum ferritin ≥70 μg/L], 123 (10.8%) as ID group [normal hemoglobin and low serum ferritin70 μg/L)], 447 (39.3%) as IDA group [low haemoglobin: male13 g/dl, female12 g/dl and low serum ferritin] and 450 (39.6%) as 'anemia of chronic disease' (ACD) group [low hemoglobin and normal serum ferritin]. The percentage of women having ID (57.7%) and IDA (65.3%) was significantly higher than their male counterparts. ID was most prevalent (61.7%) in the individuals with duration of diabetes5 years whereas ACD was most prevalent (50.5%) in individuals with long standing diabetes (10 years). Independent risk factors for IDA were female gender (OR 3.3,95% CI:1.75-6.23, p 0.001), duration of diabetes (OR 1.05, 95% CI 1.01-1.11, p = 0.028) and FPG (OR 1.01, 95% CI 0.99-1.00, p = 0.018).There is a need of identifying and monitoring iron status and anemia in patients with T2DM.
Published: 2022

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175 results on '"Rajendra Pradeepa"'

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