Effect of low vs high dietary-advanced glycation end products on insulin-sensitivity and inflammatory- markers among overweight/obese Asian-Indian adults-A randomised controlled trial.

The present study investigated the effect of low vs high-dietary-Advanced Glycation End products-based diets on oral disposition index-(DIo)-a marker of islet ß-cell function and cardiometabolic risks factors in 38-overweight and obese Asian Indian-adults (aged 25-45 years with body-mass-index (BMI) ≥23kg/m2) through 12-week isocaloric crossover feeding trial. Biochemical-measures included-glucose tolerance test (GTT), Insulin assay (0,30 and 120 min), lipid-profile, serum-adiponectin, serum-AGE and serum-Thiobarbituric acid reactive substances-(TBARS) assessed both at baseline and end of each intervention. Generalised linear models showed that low-dAGE diet significantly improved in oral disposition index [Least Square Mean (SE), +0.3 (0.1); p = 0.03] compared to high-dAGE diet. The low-dAGE diet also showed a significant reduction in 30-minutes plasmapost-glucose-challenge-value:(-8.1[3.8] (mg/dl) vs 3.8 [3.8] (mg/dl); p = 0.01), serum-AGEs-(-3.2 [0.2] (µg/ml) vs -0.8 [0.2] (µg/ml); p = <0.0001) compared to high-dAGE diet. In summary, low-dAGE diets exhibited improvement in the insulin-sensitivity and reduction in the inflammatory levels compared to high-dAGE diets. Hence, study first time in India revealed that low dAGE diets could be a potential strategy to reduce diabetes risk.

A Systematic Review of the Effect of Gene-Lifestyle Interactions on Metabolic-Disease-Related Traits in South Asian Populations.

CONTEXT: Recent data from the South Asian subregion have raised concern about the dramatic increase in the prevalence of metabolic diseases, which are influenced by genetic and lifestyle factors. OBJECTIVE: The aim of this systematic review was to summarize the contemporary evidence for the effect of gene-lifestyle interactions on metabolic outcomes in this population. DATA SOURCES: PubMed, Web of Science, and SCOPUS databases were searched up until March 2023 for observational and intervention studies investigating the interaction between genetic variants and lifestyle factors such as diet and physical activity on obesity and type 2 diabetes traits. DATA EXTRACTION: Of the 14 783 publications extracted, 15 were deemed eligible for inclusion in this study. Data extraction was carried out independently by 3 investigators. The quality of the included studies was assessed using the Appraisal Tool for Cross-Sectional Studies (AXIS), the Risk Of Bias In Non-randomized Studies-of Interventions (ROBINS-I), and the methodological quality score for nutrigenetics studies. DATA ANALYSIS: Using a narrative synthesis approach, the findings were presented in textual and tabular format. Together, studies from India (n = 8), Pakistan (n = 3), Sri Lanka (n = 1), and the South Asian diaspora in Singapore and Canada (n = 3) reported 543 gene-lifestyle interactions, of which 132 (∼24%) were statistically significant. These results were related to the effects of the interaction of genetic factors with physical inactivity, poor sleep habits, smoking, and dietary intake of carbohydrates, protein, and fat on the risk of metabolic disease in this population. CONCLUSIONS: The findings of this systematic review provide evidence of gene-lifestyle interactions impacting metabolic traits within the South Asian population. However, the lack of replication and correction for multiple testing and the small sample size of the included studies may limit the conclusiveness of the evidence. Note, this paper is part of the Nutrition Reviews Special Collection on Precision Nutrition. SYSTEMATIC REVIEW REGISTRATION: PROSPERO registration No. CRD42023402408.

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

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.

Effect of Replacing Sucrose in Beverages with Nonnutritive Sweetener Sucralose on Cardiometabolic Risk Factors Among Asian Indian Adults with Type 2 Diabetes: A 12-Week Randomized Controlled Trial.

INTRODUCTION: Country-specific evidence-based research is crucial for understanding the role of nonnutritive sweeteners (NNS) in managing type 2 diabetes (T2D). The main aim of this study was to explore the effect of replacing sucrose with sucralose in coffee/tea in Asian Indians with type 2 diabetes (T2D). METHODS: This 12-week, parallel-arm randomized controlled trial included 210 participants with T2D, assigned to the intervention group, where sugar/sucrose in coffee or tea was substituted with sucralose, or the control group, where sugar/sucrose was continued. Lifestyle factors remained unchanged. The primary outcome was change in HbA1c. Secondary outcomes were changes in body weight (BW), body mass index (BMI), waist circumference (WC), lipid profiles, and inflammatory markers. RESULTS: At the end of 12 weeks, no change was observed in HbA1c, fasting plasma glucose, lipid profile, and inflammatory markers between or within groups. There was a small but significant reduction in BW (- 0.5 kg [95% CI - 1.0, - 0.1]; p = 0.02), BMI (- 0.2 kg/m2 [- 0.4, 0.0]; p = 0.03), and WC (- 0.8 cm [- 1.4, - 0.3]; p = 0.002) in the intervention group. Improvements were also observed in lipid accumulation product (p = 0.01), visceral adiposity index (p = 0.04), triglyceride/glucose index (p = 0.04), total energy intake (p = 0.04), and carbohydrate intake (p < 0.0001). CONCLUSIONS: In Asian Indians with T2D, replacing about 60 kcal of added sucrose with sucralose in coffee/ tea had no benefit on glycemia but resulted in a small reduction in body weight, body mass index, and waist circumference. TRIAL REGISTRATION: Clinical Trials Registry of India (CTRI/2021/04/032686).

Activity limitations, use of assistive devices, and mortality and clinical events in 25 high-income, middle-income, and low-income countries: an analysis of the PURE study.

BACKGROUND: The focus of most epidemiological studies has been mortality or clinical events, with less information on activity limitations related to basic daily functions and their consequences. Standardised data from multiple countries at different economic levels in different regions of the world on activity limitations and their associations with clinical outcomes are sparse. We aimed to quantify the prevalence of activity limitations and use of assistive devices and the association of limitations with adverse outcomes in 25 countries grouped by different economic levels. METHODS: In this analysis, we obtained data from individuals in 25 high-income, middle-income, and low-income countries from the Prospective Urban Rural Epidemiological (PURE) study (175 660 participants). In the PURE study, individuals aged 35-70 years who intended to continue living in their current home for a further 4 years were invited to complete a questionnaire on activity limitations. Participant follow-up was planned once every 3 years either by telephone or in person. The activity limitation screen consisted of questions on self-reported difficulty with walking, grasping, bending, seeing close, seeing far, speaking, hearing, and use of assistive devices (gait, vision, and hearing aids). We estimated crude prevalence of self-reported activity limitations and use of assistive devices, and prevalence standardised by age and sex. We used logistic regression to additionally adjust prevalence for education and socioeconomic factors and to estimate the probability of activity limitations and assistive devices by age, sex, and country income. We used Cox frailty models to evaluate the association between each activity limitation with mortality and clinical events (cardiovascular disease, heart failure, pneumonia, falls, and cancer). The PURE study is registered with ClinicalTrials.gov, NCT03225586. FINDINGS: Between Jan 12, 2001, and May 6, 2019, 175 584 individuals completed at least one question on the activity limitation questionnaire (mean age 50·6 years [SD 9·8]; 103 625 [59%] women). Of the individuals who completed all questions, mean follow-up was 10·7 years (SD 4·4). The most common self-reported activity limitations were difficulty with bending (23 921 [13·6%] of 175 515 participants), seeing close (22 532 [13·4%] of 167 801 participants), and walking (22 805 [13·0%] of 175 554 participants); prevalence of limitations was higher with older age and among women. The prevalence of all limitations standardised by age and sex, with the exception of hearing, was highest in low-income countries and middle-income countries, and this remained consistent after adjustment for socioeconomic factors. The use of gait, visual, and hearing aids was lowest in low-income countries and middle-income countries, particularly among women. The prevalence of seeing close limitation was four times higher (6257 [16·5%] of 37 926 participants vs 717 [4·0%] of 18 039 participants) and the prevalence of seeing far limitation was five times higher (4003 [10·6%] of 37 923 participants vs 391 [2·2%] of 18 038 participants) in low-income countries than in high-income countries, but the prevalence of glasses use in low-income countries was half that in high-income countries. Walking limitation was most strongly associated with mortality (adjusted hazard ratio 1·32 [95% CI 1·25-1·39]) and most consistently associated with other clinical events, with other notable associations observed between seeing far limitation and mortality, grasping limitation and cardiovascular disease, bending limitation and falls, and between speaking limitation and stroke. INTERPRETATION: The global prevalence of activity limitations is substantially higher in women than men and in low-income countries and middle-income countries compared with high-income countries, coupled with a much lower use of gait, visual, and hearing aids. Strategies are needed to prevent and mitigate activity limitations globally, with particular emphasis on low-income countries and women. FUNDING: Funding sources are listed at the end of the Article.

Early pregnancy HbA1c as the first screening test for gestational diabetes: results from three prospective cohorts.

BACKGROUND: More than 90% of gestational diabetes cases are estimated to occur in low-income and middle-income countries (LMICs). Most current guidelines recommend an oral glucose tolerance test (OGTT) at 24-28 weeks of gestation. The OGTT is burdensome, especially in LMICs, resulting in a high proportion of women not being screened. We aimed to develop a simple and effective screening strategy for gestational diabetes. METHODS: STRiDE, a prospective cohort study, was set up in seven centres in south India and seven centres in western Kenya, and included pregnant women aged 18-50 years of age and at less than 16 weeks of gestation (<20 weeks in Kenya), confirmed by dating ultrasound. We assessed the efficacy of early pregnancy HbA1c (venous and capillary point-of-care), either alone or as part of a composite risk score with age, BMI, and family history of diabetes, in predicting gestational diabetes at 24-28 weeks of gestation, in two LMICs (India and Kenya) and in a UK multi-ethnic population from the PRiDE study. A key secondary outcome was to assess whether an early pregnancy composite risk score can reduce the need for OGTTs. Gestational diabetes was diagnosed using current WHO criteria. FINDINGS: Between Feb 15, 2016, Dec 13, 2019, we enrolled 3070 participants in India and 4104 in Kenya. 4320 participants were included from the PRiDE cohort. Gestational diabetes prevalence by OGTT at 24-28 weeks was 19·2% in India, 3·0% in Kenya, and 14·5% in the UK. Early pregnancy HbA1c was independently associated with incidence of gestational diabetes at 24-28 weeks of gestation. Adjusted risk ratios were 1·60 (95% CI 1·19-2·16) in India, 3·49 (2·8-4·34) in Kenya, and 4·72 (3·82-5·82) in the UK. Composite risk score models that combined venous or point-of-care HbA1c with age, BMI, and family history of diabetes best predicted testing positive for gestational diabetes. A population-specific, two-threshold screening strategy of rule-in and rule-out gestational diabetes using early pregnancy composite risk score could reduce the requirement of OGTTs by 50-64%. For the HbA1c-alone model, the thresholds were 5·4% (rule in) and 4·9% (rule out) in India, 6·0% (rule in) and 5·2% (rule out) in Kenya, and 5·6% (rule in) and 5·2% (rule out) in the UK. INTERPRETATION: Early pregnancy HbA1c offers a simple screening test for gestational diabetes, allowing those at highest risk to receive early intervention and greatly reduce the need for OGTTs. This can also be carried out using point-of-care HbA1c in LMICs. FUNDING: UK Medical Research Council and the Indian Department of Biotechnology.

Urban-Rural Differences in the Prevalence of Diabetes Among Adults in Haryana, India: The ICMR-INDIAB Study (ICMR-INDIAB-18).

INTRODUCTION: Diabetes is a multifactorial disease with far-reaching consequences. Environmental factors, such as urban or rural residence, influence its prevalence and associated comorbidities. Haryana-a north Indian state-has undergone rapid urbanisation, and part of it is included in the National Capital Region (NCR). The primary aim of the study is to estimate the prevalence of diabetes in Haryana with urban-rural, NCR and non-NCR regional stratification and assess the factors affecting the likelihood of having diabetes among adults. METHODS: This sub-group analysis of the Indian Council of Medical Research-India Diabetes (ICMR-INDIAB) study (a nationally representative cross-sectional population-based survey) was done for Haryana using data from 3722 participants. The dependent variable was diabetes, while residence in NCR/non-NCR and urban-rural areas were prime independent variables. Weighted prevalence was estimated using state-specific sampling weights and standardized using National Family Health Survey-5 (NFHS-5) study weights. Associations were depicted using bivariate analysis, and factors describing the likelihood of living with diabetes were explored using a multivariable binary logistic regression analysis approach. RESULTS: Overall, the weighted prevalence of diabetes in Haryana was higher than the national average (12.4% vs. 11.4%). The prevalence was higher in urban (17.9%) than in rural areas (9.5%). The prevalence of diabetes in rural areas was higher in the NCR region, while that of prediabetes was higher in rural non-NCR region. Urban-rural participants' anthropometric measurements and biochemical profiles depicted non-significant differences. Urban-rural status, age and physical activity levels were the most significant factors that affected the likelihood of living with diabetes. CONCLUSIONS: The current analysis provides robust prevalence estimates highlighting the urban-rural disparities. Urban areas continue to have a high prevalence of diabetes and prediabetes; rural areas depict a much higher prevalence of prediabetes than diabetes. With the economic transition rapidly bridging the gap between urban and rural populations, health policymakers should plan efficient strategies to tackle the diabetes epidemic.

Correction: Prevalence of prediabetes and type 2 diabetes mellitus in south and southeast Asian women with history of gestational diabetes mellitus: Systematic review and meta-analysis.

[This corrects the article DOI: 10.1371/journal.pone.0278919.].

Performance of European prediction models for classification of type 1 and type 2 diabetes in Indians.

AIM: We aimed to determine the performance of European prediction models in an Indian population to classify type 1 diabetes(T1D) and type 2 diabetes(T2D). METHODS: We assessed discrimination and calibration of published models of diabetes classification, using retrospective data from electronic medical records of 83309 participants aged 18-50 years living in India. Diabetes type was defined based on C-peptide measurement and early insulin requirement. Models assessed combinations of clinical measurements: age at diagnosis, body mass index(mean = 26.6 kg/m2), sex(male = 64.9 %), Glutamic acid decarboxylase(GAD) antibody, serum cholesterol, serum triglycerides, and high-density lipoprotein(HDL) cholesterol. RESULTS: 67955 participants met inclusion criteria, of whom 0.8 % had T1D, which was markedly lower than model development cohorts. Model discrimination for clinical features was broadly similar in our Indian cohort compared to the European cohort: area under the receiver operating characteristic curve(AUC ROC) was 0.90 vs. 0.90 respectively, but was lower in the subset of young participants with measured GAD antibodies(n = 2404): and an AUC ROC of 0.87 when clinical features, sex, lipids and GAD antibodies were combined. All models substantially overestimated the likelihood of T1D, reflecting the lower prevalence of T1D in the Indian population. However, good model performance was achieved after recalibration by updating the model intercept and slope. CONCLUSION: Models for diabetes classification maintain the discrimination of T1D and T2D in this Indian population, where T2D is far more common, but require recalibration to obtain appropriate model probabilities. External validation and recalibration are needed before these tools can be used in non-European populations.