Antenatal oral glucose tolerance test abnormalities in the prediction of future risk of postpartum diabetes in women with gestational diabetes: Results from the LIVING study.

OBJECTIVES: To explore associations between type and number of abnormal glucose values on antenatal oral glucose tolerance test (OGTT) with postpartum diabetes in South Asian women diagnosed with gestational diabetes (GDM) using International Association of the Diabetes and Pregnancy Study Groups criteria. METHODS: This post-hoc evaluation of the Lifestyle Intervention IN Gestational Diabetes (LIVING) study, a randomized controlled trial, was conducted among women with GDM in the index pregnancy, across 19 centers in Bangladesh, India, and Sri Lanka. Postpartum diabetes (outcome) was defined on OGTT, using American Diabetes Association (ADA) criteria. RESULTS: We report data on 1468 women with GDM, aged 30.9 (5.0) years, and with median (interquartile range) follow-up period of 1.8 (1.4-2.4) years after childbirth following the index pregnancy. We found diabetes in 213 (14.5%) women with an incidence of 8.7 (7.6-10.0)/100 women-years. The lowest incidence rate was 3.8/100 women years, in those with an isolated fasting plasma glucose (FPG) abnormality, and highest was 19.0/100 women years in participants with three abnormal values. The adjusted hazard ratios for two and three abnormal values compared to one abnormal value were 1.73 (95% confidence interval [CI], 1.18-2.54; p = .005) and 3.56 (95% CI, 2.46-5.16; p < .001) respectively. The adjusted hazard ratio for the combined (combination of fasting and postglucose load) abnormalities was 2.61 (95% CI, 1.70-4.00; p < .001), compared to isolated abnormal FPG. CONCLUSIONS: Risk of diabetes varied significantly depending upon the type and number of abnormal values on antenatal OGTT. These data may inform future precision medicine approaches such as risk prediction models in identifying women at higher risk and may guide future targeted interventions.

The incidence and risk factors of postpartum diabetes in women from Bangladesh, India and Sri Lanka (South Asia) with prior gestational diabetes mellitus: Results from the LIVING study.

AIM: To study, the incidence and risk factors for postpartum diabetes (DM), in women with gestational diabetes mellitus (GDM) from South Asia (Bangladesh, India and Sri Lanka), followed for nearly two years after delivery. METHODS: Women with prior GDM diagnosed using IADPSG criteria were invited at 19 centres across Bangladesh, India and Sri Lanka for an oral glucose tolerance test (OGTT) following childbirth, and were enrolled in a randomized controlled trial. The glycaemic category (outcome) was defined from an OGTT based on American Diabetes Association criteria. RESULTS: Participants (n = 1808) recruited had a mean ± SD age of 31.0 ± 5.0 years. Incident DM was identified, between childbirth and the last follow-up, in 310 (17.1 %) women [incidence 10.75/100 person years], with a median follow-up duration of 1.82 years after childbirth. Higher age, lower education status, higher prior pregnancy count, prior history of GDM, family history of DM, and postpartum overweight/obese status were significantly associated with incident DM. Women in Bangladesh had a higher cumulative incidence of DM [16.49/100 person years] than in Sri Lanka [12.74/100 person years] and India [7.21/100 person years]. CONCLUSIONS: A high incidence of DM was found in women with prior GDM in South Asia, with significant variation between countries. Women from Bangladesh had a significantly higher pregnancy count, family history of DM and overweight/obese status, despite having significantly lower age, which could be responsible for their higher rates of DM. Registration of this study: The study was registered with the Clinical Trials Registry of India (CTRI/2017/06/008744), Sri Lanka Clinical Trials Registry (SLCTR/2017/001), and ClinicalTrials.gov (NCT03305939).

Correction: Cardiovascular Health in India - a Report Card from Three Urban and Rural Surveys of 22,144 Adults.

[This corrects the article DOI: 10.5334/gh.1137.].

Cardiovascular Health in India - a Report Card from Three Urban and Rural Surveys of 22,144 Adults.

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) <25 Kg/m2, blood pressure (BP) <120/80 mm Hg, fasting plasma glucose (FPG) <100 mg/dl, and total cholesterol (TC) <200 mg/dL. We estimated (1) age-and sex-standardized prevalence of ideal CVH and (2) prevalence of good (≥6 markers), moderate (4-5), and poor CVH (≤3) adjusted for age, sex, education, and stratified by setting and asset tertiles. Results: Of the total 22,144 participants, the prevalence of ideal CVH markers were: not smoking (76.7% [95% CI 76.1, 77.2]), consumed ≥5 F&V (4.2% [3.9, 4.5]), high PA (67.5% [66.8, 68.2]), optimum BMI (59.6% [58.9, 60.3]), ideal BP (34.5% [33.9, 35.2]), FPG (65.8% [65.1, 66.5]) and TC (65.4% [64.7, 66.1]). The mean number of ideal CVH metrics was 3.7(95% CI: 3.7, 3.8). Adjusted prevalence of good, moderate, and poor CVH, varied across settings: metropolitan (3.9%, 41.0%, and 55.1%), smaller cities (7.8%, 49.2%, and 43%), and rural (10.4%, 60.9%, and 28.7%) and across asset tertiles: Low (11.0%, 55.9%, 33.1%), Middle (6.3%, 52.2%, 41.5%), and High (5.0%, 46.4%, 48.7%), respectively. Conclusion: Achievement of ideal CVH varied, with higher prevalence in rural and lower asset tertiles. Multi-sectoral and targeted policy and program actions are needed to improve CVH in diverse contexts in India.

Effects of a Lifestyle Intervention to Prevent Deterioration in Glycemic Status Among South Asian Women With Recent Gestational Diabetes: A Randomized Clinical Trial.

Importance: Women with recent gestational diabetes (GDM) have increased risk of developing type 2 diabetes. Objective: To investigate whether a resource-appropriate and context-appropriate lifestyle intervention could prevent glycemic deterioration among women with recent GDM in South Asia. Design, Setting, and Participants: This randomized, participant-unblinded controlled trial investigated a 12-month lifestyle intervention vs usual care at 19 urban hospitals in India, Sri Lanka, and Bangladesh. Participants included women with recent diagnosis of GDM who did not have type 2 diabetes at an oral glucose tolerance test (OGTT) 3 to 18 months postpartum. They were enrolled from November 2017 to January 2020, and follow-up ended in January 2021. Data were analyzed from April to July 2021. Interventions: A 12-month lifestyle intervention focused on diet and physical activity involving group and individual sessions, as well as remote engagement, adapted to local context and resources. This was compared with usual care. Main Outcomes and Measures: The primary outcome was worsening category of glycemia based on OGTT using American Diabetes Association criteria: (1) normal glucose tolerance to prediabetes (ie, impaired fasting glucose or impaired glucose tolerance) or type 2 diabetes or (2) prediabetes to type 2 diabetes. The primary analysis consisted of a survival analysis of time to change in glycemic status at or prior to the final patient visit, which occurred at varying times after 12 months for each patient. Secondary outcomes included new-onset type 2 diabetes and change in body weight. Results: A total of 1823 women (baseline mean [SD] age, 30.9 [4.9] years and mean [SD] body mass index, 26.6 [4.6]) underwent OGTT at a median (IQR) 6.5 (4.8-8.2) months postpartum. After excluding 160 women (8.8%) with type 2 diabetes, 2 women (0.1%) who met other exclusion criteria, and 49 women (2.7%) who did not consent or were uncontactable, 1612 women were randomized. Subsequently, 11 randomized participants were identified as ineligible and excluded from the primary analysis, leaving 1601 women randomized (800 women randomized to the intervention group and 801 women randomized to usual care). These included 600 women (37.5%) with prediabetes and 1001 women (62.5%) with normoglycemia. Among participants randomized to the intervention, 644 women (80.5%) received all program content, although COVID-19 lockdowns impacted the delivery model (ie, among 644 participants who engaged in all group sessions, 476 women [73.9%] received some or all content through individual engagement, and 315 women [48.9%] received some or all content remotely). After a median (IQR) 14.1 (11.4-20.1) months of follow-up, 1308 participants (81.2%) had primary outcome data. The intervention, compared with usual care, did not reduce worsening glycemic status (204 women [25.5%] vs 217 women [27.1%]; hazard ratio, 0.92; [95% CI, 0.76-1.12]; P = .42) or improve any secondary outcome. Conclusions and Relevance: This study found that a large proportion of women in South Asian urban settings developed dysglycemia soon after a GDM-affected pregnancy and that a lifestyle intervention, modified owing to the COVID-19 pandemic, did not prevent subsequent glycemic deterioration. These findings suggest that alternate or additional approaches are needed, especially among high-risk individuals. Trial Registration: Clinical Trials Registry of India Identifier: CTRI/2017/06/008744; Sri Lanka Clinical Trials Registry Identifier: SLCTR/2017/001; and ClinicalTrials.gov Identifier: NCT03305939.

Lifestyle InterVention IN Gestational diabetes (LIVING) in India, Bangladesh and Sri Lanka: protocol for process evaluation of a randomised controlled trial.

INTRODUCTION: The development of type 2 diabetes mellitus disproportionately affects South Asian women with prior gestational diabetes mellitus (GDM). The Lifestyle InterVention IN Gestational diabetes (LIVING) Study is a randomised controlled trial of a low-intensity lifestyle modification programme tailored to women with previous GDM, in India, Bangladesh and Sri Lanka, aimed at preventing diabetes/pre-diabetes. The aim of this process evaluation is to understand what worked, and why, during the LIVING intervention implementation, and to provide additional data that will assist in the interpretation of the LIVING Study results. The findings will also inform future scale-up efforts if the intervention is found to be effective. METHODS AND ANALYSIS: The Reach Effectiveness Adoption Implementation Maintenance (RE-AIM) methodological approach informed the evaluation framework. Michie's Behaviour Change Theory and Normalisation Process Theory were used to guide the design of our qualitative evaluation tools within the overall RE-AIM evaluation framework. Mixed methods including qualitative interviews, focus groups and quantitative analyses will be used to evaluate the intervention from the perspectives of the women receiving the intervention, facilitators, site investigators and project management staff. The evaluation will use evaluation datasets, administratively collected process data accessed during monitoring visits, check lists and logs, quantitative participant evaluation surveys, semistructured interviews and focus group discussions. Interview participants will be recruited using maximum variation purposive sampling. We will undertake thematic analysis of all qualitative data, conducted contemporaneously with data collection until thematic saturation has been achieved. To triangulate data, the analysis team will engage in constant iterative comparison among data from various stakeholders. ETHICS AND DISSEMINATION: Ethics approval has been obtained from the respective human research ethics committees of the All India Institute of Medical Sciences, New Delhi, India; University of Sydney, New South Wales, Australia; and site-specific approval at each local site in the three countries: India, Bangladesh and Sri Lanka. This includes approvals from the Institutional Ethics Committee at King Edwards Memorial Hospital, Maharaja Agrasen Hospital, Centre for Disease Control New Delhi, Goa Medical College, Jawaharlal Institute of Postgraduate Medical Education and Research, Madras Diabetes Research Foundation, Christian Medical College Vellore, Fernandez Hospital Foundation, Castle Street Hospital for Women, University of Kelaniya, Topiwala National Medical College and BYL Nair Charitable Hospital, Birdem General Hospital and the International Centre for Diarrhoeal Disease Research. Findings will be documented in academic publications, presentations at scientific meetings and stakeholder workshops. TRIAL REGISTRATION NUMBERS: Clinical Trials Registry of India (CTRI/2017/06/008744); Sri Lanka Clinical Trials Registry (SLCTR/2017/001) and ClinicalTrials.gov Registry (NCT03305939); Pre-results.

Potentially Heterogeneous Cross-Sectional Associations of Seafood Consumption with Diabetes and Glycemia in Urban South Asia.

Aims: In this study, we aimed to estimate cross-sectional associations of fish or shellfish consumption with diabetes and glycemia in three South Asian mega-cities. Methods: We analyzed baseline data from 2010-2011 of a cohort (n = 16,287) representing the population ≥20 years old that was neither pregnant nor on bedrest from Karachi (unweighted n = 4017), Delhi (unweighted n = 5364), and Chennai (unweighted n = 6906). Diabetes was defined as self-reported physician-diagnosed diabetes, fasting plasma glucose ≥126 mg/dL (7.0 mmol/L), or glycated hemoglobin A1c (HbA1c) ≥6.5% (48 mmol/mol). We estimated adjusted and unadjusted odds ratios for diabetes using survey estimation logistic regression for each city, and differences in glucose and HbA1c using survey estimation linear regression for each city. Adjusted models controlled for age, gender, body mass index, waist-height ratio, sedentary lifestyle, educational attainment, tobacco use, an unhealthy diet index score, income, self-reported physician diagnosis of high blood pressure, and self-reported physician diagnosis of high cholesterol. Results: The prevalence of diabetes was 26.7% (95% confidence interval: 24.8, 28.6) in Chennai, 36.7% (32.9, 40.5) in Delhi, and 24.3% (22.0, 26.6) in Karachi. Fish and shellfish were consumed more frequently in Chennai than in the other two cities. In Chennai, the adjusted odds ratio for diabetes, comparing more than weekly vs. less than weekly fish consumption, was 0.81 (0.61, 1.08); in Delhi, it was 1.18 (0.87, 1.58), and, in Karachi, it was 1.30 (0.94, 1.80). In Chennai, the adjusted odds ratio of prevalent diabetes among persons consuming shellfish more than weekly versus less than weekly was 1.08 (95% CI: 0.90, 1.30); in Delhi, it was 1.35 (0.90, 2.01), and, in Karachi, it was 1.68 (0.98, 2.86). Conclusions: Both the direction and the magnitude of association between seafood consumption and glycemia may vary by city. Further investigation into specific locally consumed seafoods and their prospective associations with incident diabetes and related pathophysiology are warranted.

Feasibility of a Lifestyle Intervention Program for Prevention of Diabetes Among Women With Prior Gestational Diabetes Mellitus (LIVING Study) in South Asia: A Formative Research Study.

Aim: To refine and contextually adapt a postpartum lifestyle intervention for prevention of type 2 diabetes mellitus (T2DM) in women with prior gestational diabetes mellitus (GDM) in Bangladesh, India, and Sri Lanka. Materials and Methods: In-depth interviews (IDIs) and focus group discussions (FGDs) were conducted with women with current diagnosis of GDM, and health care professionals involved in their management, to understand relevant local contextual factors for intervention optimization and implementation. This paper describes facilitators and barriers as well as feedback from participants on how to improve the proposed intervention. These factors were grouped and interpreted along the axes of the three main determinants of behavior-capability, opportunity, and motivation. IDIs and FGDs were digitally recorded, transcribed, and translated. Data-driven inductive thematic analysis was undertaken to identify and analyze patterns and themes. Results: Two interrelated themes emerged from the IDIs and FGDs: (i) The lifestyle intervention was acceptable and considered to have the potential to improve the existing model of care for women with GDM; and (ii) Certain barriers such as reduced priority of self-care, and adverse societal influences postpartum need to be addressed for the improvement of GDM care. Based on the feedback, the intervention was optimized by including messages for family members in the content of the intervention, providing options for both text and voice messages as reminders, and finalizing the format of the intervention session delivery. Conclusion: This study highlights the importance of contextual factors in influencing postpartum care and support for women diagnosed with GDM in three South Asian countries. It indicates that although provision of postpartum care is complex, a group lifestyle intervention program is highly acceptable to women with GDM, as well as to health care professionals, at urban hospitals.

The role of context in implementation research for non-communicable diseases: Answering the 'how-to' dilemma.

INTRODUCTION: Understanding context and how this can be systematically assessed and incorporated is crucial to successful implementation. We describe how context has been assessed (including exploration or evaluation) in Global Alliance for Chronic Diseases (GACD) implementation research projects focused on improving health in people with or at risk of chronic disease and how contextual lessons were incorporated into the intervention or the implementation process. METHODS: Using a web-based semi-structured questionnaire, we conducted a cross-sectional survey to collect quantitative and qualitative data across GACD projects (n = 20) focusing on hypertension, diabetes and lung diseases. The use of context-specific data from project planning to evaluation was analyzed using mixed methods and a multi-layered context framework across five levels; 1) individual and family, 2) community, 3) healthcare setting, 4) local or district level, and 5) state or national level. RESULTS: Project teams used both qualitative and mixed methods to assess multiple levels of context (avg. = 4). Methodological approaches to assess context were identified as formal and informal assessments, engagement of stakeholders, use of locally adapted resources and materials, and use of diverse data sources. Contextual lessons were incorporated directly into the intervention by informing or adapting the intervention, improving intervention participation or improving communication with participants/stakeholders. Provision of services, equipment or information, continuous engagement with stakeholders, feedback for personnel to address gaps, and promoting institutionalization were themes identified to describe how contextual lessons are incorporated into the implementation process. CONCLUSIONS: Context is regarded as critical and influenced the design and implementation of the GACD funded chronic disease interventions. There are different approaches to assess and incorporate context as demonstrated by this study and further research is required to systematically evaluate contextual approaches in terms of how they contribute to effectiveness or implementation outcomes.

Lifestyle intervention programme for Indian women with history of gestational diabetes mellitus.

Aim: To evaluate the feasibility and potential effectiveness of a lifestyle intervention (diet and physical activity) among women with history of gestational diabetes mellitus (GDM), delivered by trained facilitators. Methods: Fifty-six normoglycaemic or prediabetic women with prior GDM were recruited at mean of 17 months postpartum. Socio-demographic, medical and anthropometric data were collected. Six sessions on lifestyle modification were delivered in groups (total four groups, with 12-15 women in each group). Pre and post intervention (6 months) weight, body mass index (BMI), waist circumference, 75 g oral glucose tolerance test, blood pressure (BP) and lipid parameters were compared. Results: The intervention was feasible, with 80% of women attending four or more sessions. Post-intervention analyses showed a significant mean reduction of 1.8 kg in weight, 0.6 kg/m2 in BMI and 2 cm in waist circumference. There was also a significant drop of 0.3 mmol/L in fasting plasma glucose, 0.9 mmol/L in 2 h post glucose load value of plasma glucose, 3.6 mmHg in systolic BP, and 0.15 mmol/L in triglyceride levels. Changes in total cholesterol, low-density lipoprotein-cholesterol, high-density lipoprotein-cholesterol and diastolic BP were non-significant. Conclusions: This study showed feasibility of the lifestyle intervention delivered in group sessions to women with prior gestational diabetes.

Association of dietary patterns and dietary diversity with cardiometabolic disease risk factors among adults in South Asia: The CARRS study.

BACKGROUND AND OBJECTIVES: To investigate the association of dietary patterns and dietary diversity with cardiometabolic disease risk factors among South Asians. METHODS AND STUDY DESIGN: In a population based study conducted in 2010-11, we recruited 16,287 adults aged >20 years residing in Delhi, Chennai, and Karachi. Diet was assessed using an interviewer-administered 26-item food frequency questionnaire. Principal component analysis identified three dietary patterns: Prudent, Indian, and Non-Vegetarian. We also computed a dietary diversity score. Multinomial and binary logistic regressions were used to calculate adjusted prevalence (95% confidence intervals) of cardio-metabolic disease risk factors across quartiles of dietary pattern and dietary diversity scores. RESULTS: The adjusted prevalence of diagnosed diabetes was lower among participants in the highest versus lowest quartile of the Prudent Pattern (4.7% [3.8-5.6] versus 10.3% [8.5-12.0]), and the Indian Pattern (4.8% [3.7-5.9] versus 8.7% [6.7-10.6] in highest versus lowest quartile, respectively). Participants following the Indian Pattern also had lower adjusted prevalence of diagnosed hypertension (7.0% [5.4-8.5] versus 10.6% [8.6-12.5] in highest versus lowest quartile, respectively). Participants in the highest versus lowest quartile of the dietary diversity score had a lower adjusted prevalence of diagnosed diabetes (4.1% [3.0-5.2] versus 8.2% [7.1-9.3]), diagnosed hypertension (6.7% [5.3-8.1] versus 10.3% [9.1-11.5]), and undiagnosed hypertension (14.2% [12.0-16.4] versus 18.5% [16.9-20.1]). CONCLUSIONS: High dietary diversity appears to be protective against cardio-metabolic disease risk factors in this urban cohort of South Asian adults. Further investigation to understand the underlying mechanism of this observation is warranted.

Diets for South Asians with diabetes: recommendations, adherence, and outcomes.

BACKGROUND AND OBJECTIVES: To determine how frequently diabetic diets are recommended to individuals with diabetes in South Asia, whether they are followed, and if they are associated with healthier dietary choices and clinical benefits. METHODS AND STUDY DESIGN: Data are from the Centre for cArdiometabolic Risk Reduction in South-Asia Cohort Study. Participants with self-reported physician-diagnosed diabetes (n=1849) were divided into four groups based on whether they reported being prescribed and/or were following a diabetic diet. Linear regression was used to estimate associations between these groups and outcomes. RESULTS: 53% of participants with self-reported diabetes reported not being prescribed or following a diabetic diet. Among those prescribed and following a diet, mean whole grain consumption was 1.18 times/day and refined grain consumption was 0.75 times/day compared to 0.88 times/day and 1.74 times/day, respectively, among those neither prescribed nor following a diet (both p<0.0001). Following a diet despite not being prescribed a diet was not associated with glycemic control, blood pressure, or body mass index, but was associated with a -8.54 mg/dL (95% confidence interval: -15.5, -1.58) lower low-density lipoprotein cholesterol compared to not following and not being prescribed a diet after adjustment for confounders. CONCLUSION: Though participants who were prescribed diabetic diets and followed them exhibited healthier dietary choices, the majority of participants with diabetes in urban South Asia was neither prescribed nor followed such diets. Moreover, there was no statistically significant clinical benefit, thus indicating that current dietary modifications may not be large enough or consistent enough to produce meaningful changes in health outcomes in this population.

Food Choice Drivers in the Context of the Nutrition Transition in Delhi, India.

OBJECTIVE: To understand factors that influence the process of food decision-making among urban Indian women in the context of the nutrition transition. DESIGN: Mixed methods. METHODS: Semistructured interviews and sorting of 12 a priori hypothesized drivers into categories of always, sometimes, and never influencing food choice. SETTING: Delhi, India. PARTICIPANTS: Thirty-eight women aged 20-35 years selected from the roster of a prospective cohort study. PHENOMENON OF INTEREST: Drivers of food choice. ANALYSIS: Interviews were transcribed verbatim and translated, then analyzed using an iterative, constant comparative process. Differences in pile sort rankings across tertiles of body mass index and wealth index were tested using Fisher exact tests. RESULT: Four primary themes emerged: (1) family influence; (2) cultural perceptions, with 3 subthemes of beliefs relating to (a) outside food and less healthful food, (b) seasonality, and (c) hometown food; (3) convenience, with 3 subthemes of (a) decisions regarding procurement of food, (b) not having time to cook, resulting in eating out or purchasing premade foods, and (c) eating whatever is available at home or is left over from previous meals; and (4) habit, with 2 subthemes of (a) subconscious decisions and (b) food roots. Responses from the pile sort activity revealed perceptions that food safety and health most influence food choice whereas marketing and advertisements least influence it. CONCLUSIONS AND IMPLICATIONS: Young adult women in Delhi seem to rely on preferences of their families, habits and perceptions established in childhood, convenience, and food safety and health when making choices about food. These aspects of decision-making should be targeted in future interventions aimed at improving dietary intake in this population.

Comparison of multiple obesity indices for cardiovascular disease risk classification in South Asian adults: The CARRS Study.

BACKGROUND: We comparatively assessed the performance of six simple obesity indices to identify adults with cardiovascular disease (CVD) risk factors in a diverse and contemporary South Asian population. METHODS: 8,892 participants aged 20-60 years in 2010-2011 were analyzed. Six obesity indices were examined: body mass index (BMI), waist circumference (WC), waist-height ratio (WHtR), waist-hip ratio (WHR), log of the sum of triceps and subscapular skin fold thickness (LTS), and percent body fat derived from bioelectric impedance analysis (BIA). We estimated models with obesity indices specified as deciles and as continuous linear variables to predict prevalent hypertension, diabetes, and high cholesterol and report associations (prevalence ratios, PRs), discrimination (area-under-the-curve, AUCs), and calibration (index χ2). We also examined a composite unhealthy cardiovascular profile score summarizing glucose, lipids, and blood pressure. RESULTS: No single obesity index consistently performed statistically significantly better than the others across the outcome models. Based on point estimates, WHtR trended towards best performance in classifying diabetes (PR = 1.58 [1.45-1.72], AUC = 0.77, men; PR = 1.59 [1.47-1.71], AUC = 0.80, women) and hypertension (PR = 1.34 [1.26,1.42], AUC = 0.70, men; PR = 1.41 [1.33,1.50], AUC = 0.78, women). WC (mean difference = 0.24 SD [0.21-0.27]) and WHtR (mean difference = 0.24 SD [0.21,0.28]) had the strongest associations with the composite unhealthy cardiovascular profile score in women but not in men. CONCLUSIONS: WC and WHtR were the most useful indices for identifying South Asian adults with prevalent diabetes and hypertension. Collection of waist circumference data in South Asian health surveys will be informative for population-based CVD surveillance efforts.

Vegetarianism and cardiometabolic disease risk factors: Differences between South Asian and US adults.

OBJECTIVES: Cardiometabolic diseases are increasing disproportionately in South Asia compared with other regions of the world despite high levels of vegetarianism. This unexpected discordance may be explained by differences in the healthfulness of vegetarian and non-vegetarian diets in South Asia compared with the United States. The aim of this study was to compare the food group intake of vegetarians with non-vegetarians in South Asia and the United States and to evaluate associations between vegetarianism and cardiometabolic disease risk factors (overweight/obesity, central obesity, diabetes, hypertension, high triacylglycerols, high low-density lipoprotein, low high-density lipoprotein, and high Framingham Heart Score). METHODS: Using cross-sectional data from adults (age 20-69 y) in South Asia (Centre for Cardiometabolic Risk Reduction in South-Asia [CARRS] 2010-2011; N = 15 665) and the United States (National Health and Nutrition Examination Survey 2003-2006; N = 2159), adherence to a vegetarian diet was assessed using food propensity questionnaires. Multivariable logistic regression was used to estimate odds ratios and predicted margins (e.g., adjusted prevalence of the outcomes). RESULTS: One-third (33%; n = 4968) of adults in the South Asian sample were vegetarian compared with only 2.4% (n = 59) in the US sample. Among South Asians, vegetarians more frequently ate dairy, legumes, vegetables, fruit, desserts, and fried foods than non-vegitarians (all P < 0.05). Among Americans, vegetarians more frequently ate legumes, fruit, and whole grains, and less frequently ate refined cereals, desserts, fried foods, fruit juice, and soft drinks than non-vegetarians (all P < 0.05). After adjustment for confounders (age, sex, education, tobacco, alcohol, and also city in CARRS), South Asian vegetarians were slightly less frequently overweight/obese compared with non-vegetarians: 49% (95% confidence interval [CI], 45%-53%) versus 53% (95% CI, 51%-56%), respectively; whereas US vegetarians were considerably less frequently overweight/obese compared with non-vegetarians: 48% (95% CI, 32%-63%) versus 68% (95% CI, 65%-70%), respectively. Furthermore, US vegetarians were less likely to exhibit central obesity than non-vegetarians: 62% (95% CI, 43%-78%) versus 78% (95% CI, 76%-80%), respectively. CONCLUSIONS: There is greater divergence between vegetarian and non-vegetarian diets in the United States than in South Asia, and US vegetarians have more consistently healthier food group intakes than South Asian vegetarians. Vegetarians in both populations have a lower probability of overweight/obesity compared with non-vegetarians. The strength of this association may be stronger for US vegetarian diets, which were also protective against central obesity.

Is the "South Asian Phenotype" Unique to South Asians?: Comparing Cardiometabolic Risk Factors in the CARRS and NHANES Studies.

BACKGROUND: In the context of rising obesity in South Asia, it is unclear whether the "South Asian phenotype"(described as high glucose, low high-density lipoprotein cholesterol, and high triglycerides at normal ranges of body weight) continues to be disproportionately exhibited by contemporary South Asians relative to other race/ethnic groups. OBJECTIVES: We assessed the distinctiveness of the South Asian cardiometabolic profile by comparing the prevalence of combined high glucose, high triglycerides, and low high-density lipoprotein cholesterol (combined dysglycemia and dyslipidemia) in resident South Asians with 4 race/ethnic groups in the United States (Asians, black persons, Hispanics, and white persons) overall and by body mass index (BMI) category. METHODS: South Asian data were from the 2010 to 2011 Center for Cardiometabolic Risk Reduction in South Asia Study, representative of Chennai and New Delhi, India and Karachi, Pakistan. U.S. data were from the 2011 to 2012 National Health and Nutrition Examination Survey, representative of the U.S. POPULATION: Combined dysglycemia and dyslipidemia was defined as fasting blood glucose ≥126 mg/dl and triglyceride/high-density lipoprotein cholesterol ratio >4. Logistic regression was used to estimate the relative odds and 95% confidence intervals of combined dysglycemia and dyslipidemia associated with each race/ethnic group (referent, U.S. white persons). Models were estimated among adults aged 20 to 79 years by sex and BMI category and accounted for age, education, and tobacco use. Data from 8,448 resident South Asians, 274 U.S. Asians, 404 U.S. black persons, 308 U.S. Hispanics, and 703 U.S. white persons without previously known diabetes were analyzed. RESULTS: In the normal body weight range of BMI 18.5 to 24.9 kg/m(2), the prevalence of combined dysglycemia and dyslipidemia among men and women, respectively, was 33% and 11% in resident South Asians, 15% and 1% in U.S. Asians, 5% and 2% in U.S. black persons, 11% and 2% in U.S. Hispanics, and 8% and 2% in U.S. white persons. Compared with U.S. whites persons, South Asians were more likely to present with combined dysglycemia and dyslipidemia at all categories of BMI for men and at BMI 18.5 to 29.9 for women in adjusted models. The most pronounced difference between South Asians and U.S. white persons was observed at normal weight (adjusted odds ratio: 4.98; 95% confidence interval: 2.46 to 10.07 for men) (adjusted odds ratio: 9.09; 95% confidence interval: 2.48 to 33.29 for women). CONCLUSIONS: Between 8% and 15% of U.S. men and 1% and 2% of U.S. women of diverse race/ethnic backgrounds exhibited dysglycemia and dyslipidemia at levels of body weight considered "healthy," consistent with the cardiometabolic profile described as the "South Asian Phenotype." Urban South Asians, however, were 5 to 9 times more likely to exhibit dysglycemia and dyslipidemia in the "healthy" BMI range compared with any other U.S. race/ethnic group.

Task shifting of frontline community health workers for cardiovascular risk reduction: design and rationale of a cluster randomised controlled trial (DISHA study) in India.

BACKGROUND: Effective task-shifting interventions targeted at reducing the global cardiovascular disease (CVD) epidemic in low and middle-income countries (LMICs) are urgently needed. METHODS: DISHA is a cluster randomised controlled trial conducted across 10 sites (5 in phase 1 and 5 in phase 2) in India in 120 clusters. At each site, 12 clusters were randomly selected from a district. A cluster is defined as a small village with 250-300 households and well defined geographical boundaries. They were then randomly allocated to intervention and control clusters in a 1:1 allocation sequence. If any of the intervention and control clusters were <10 km apart, one was dropped and replaced with another randomly selected cluster from the same district. The study included a representative baseline cross-sectional survey, development of a structured intervention model, delivery of intervention for a minimum period of 18 months by trained frontline health workers (mainly Anganwadi workers and ASHA workers) and a post intervention survey in a representative sample. The study staff had no information on intervention allocation until the completion of the baseline survey. In order to ensure comparability of data across sites, the DISHA study follows a common protocol and manual of operation with standardized measurement techniques. DISCUSSION: Our study is the largest community based cluster randomised trial in low and middle-income country settings designed to test the effectiveness of 'task shifting' interventions involving frontline health workers for cardiovascular risk reduction. TRIAL REGISTRATION: CTRI/2013/10/004049 . Registered 7 October 2013.