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Aim: To assess the level of glycemic, blood pressure, and cholesterol control (the 'ABCs') nationally amongst adults with diabetes living in Kuwait. Materials and Methods: Using data from two national cross‐sectional surveys, the levels of risk factor control were assessed in 1,801 adults with diabetes, aged 18–82 years. Glycemic control was defined as HbA1c < 7%, blood pressure control as systolic and diastolic blood pressures of <140/90 mmHg, and non‐HDL cholesterol control as <3.4 mmol/L. Results: The percentage of adults with diabetes achieving control was 39.2% (95% CI, 37.0–41.5) for glycemia, 58.4% (95% CI, 56.0–60.7) for blood pressure, and 28.3% (95% CI, 26.3–30.4) for non‐HDL cholesterol. The percentage of adults who were non‐smokers was 77.6% (95%, CI 75.6–79.4). The percentage of adults with diabetes achieving control on all three risk factors was 7.4% (95% CI, 6.3–8.8), and only 5.8% (95% CI, 4.8–7.0) achieved ABC control and were nonsmokers. ABC control was 30% higher in women compared with men. Non‐Kuwaitis were almost twice as likely to have uncontrolled ABC factors compared with Kuwaitis. Conclusions: Only 1 in 13 people with diabetes in Kuwait achieved good control of glycemia, blood pressure, and cholesterol. Only 2 in 5 achieved glycemic control, 6 in 10 blood pressure control, and 2 in 7 cholesterol control. A national diabetes quality improvement program is urgently needed to improve the quality of care and to prevent long‐term complications. [ABSTRACT FROM AUTHOR]

South Asian individuals in the United States are at an increased risk of type 2 diabetes (T2DM); however, the mechanisms behind this are not well understood. The Mediators of Atherosclerosis in South Asians Living in America (MASALA) study is the only longitudinal cohort of South Asians in the United States and provides key insights as to the epidemiology of T2DM in South Asians. Evidence from the MASALA study suggests that South Asians experience a disproportionately high burden of prevalent and incident T2DM compared with members of other race/ethnic groups. Higher insulin resistance in South Asians, even with low body mass index (BMI), more impairment in insulin secretion, and greater deposition of ectopic fat likely play a role in T2DM etiology. Furthermore, South Asian migrants to the United States experience a range of factors related to acculturation, social networks, and religious beliefs, which may impact physical activity and dietary practices. Interventions to prevent T2DM in South Asians should include a focus on cultural factors related to health and should consider the complete mechanistic pathway and the relative contributions of insulin resistance, β cell dysfunction, and ectopic fat deposition on T2DM development in South Asians, particularly in those with lower BMI. [ABSTRACT FROM AUTHOR]

Aims: Type 2 diabetes in lean individuals has recently come to attention. We assessed type 2 diabetes prevalence and the associated risk factors in underweight and normal weight individuals in two ethnic populations.Methods: We conducted cross-sectional analyses, using representative samples of 4930 Asian Indians from the CARRS-Chennai Study and 2868 Whites from the NHANES Survey. Diabetes was defined as use of glucose lowering medication, fasting glucose ≥126 mg/dl, or 2 h glucose ≥200 mg/dl. Body mass index (BMI) was classified using WHO standard criteria.Results: Prevalence of type 2 diabetes by BMI varied by ethnicity and sex. In men, type 2 diabetes prevalence was 5.4% and 23.5% in underweight and normal weight Asian Indians and 0.0% and 6.1% in underweight and normal weight Whites. In women, the prevalence was 5.6% and 13.6% in underweight and normal weight Asian Indians and 2.3% and 2.8% in underweight and normal weight Whites. Adjustment for waist circumference, insulin resistance, and insulin secretion did not explain the increased prevalence in Asian Indians.Conclusions: These findings suggest significant ethnic differences in type 2 diabetes prevalence without overweight or obesity. Future studies should examine the pathophysiology of type 2 diabetes development in lean individuals. [ABSTRACT FROM AUTHOR]

Background: The relationship between body weight and cardiometabolic disease may vary substantially by race/ethnicity. Objective: To determine the prevalence and correlates of the phenotype of metabolic abnormality but normal weight (MAN) for 5 racial/ethnic groups.Design:Cross-sectional analysis. Setting: 2 community-based cohorts. Participants: 2622 white, 803 Chinese American, 1893 African American, and 1496 Hispanic persons from MESA (Multi-Ethnic Study of Atherosclerosis) and 803 South Asian participants in the MASALA (Mediators of Atherosclerosis in South Asians Living in America) study. Measurements: Prevalence of 2 or more cardiometabolic abnormalities (high fasting glucose, low high-density lipoprotein cholesterol, and high triglyceride levels and hypertension) among normal-weight participants was estimated. Correlates of MAN were assessed by using log-binomial models. Results: Among normal-weight participants (n = 846 whites, 323 Chinese Americans, 334 African Americans, 252 Hispanics, and 195 South Asians), the prevalence of MAN was 21.0% (95% CI, 18.4% to 23.9%) in whites, 32.2% (CI, 27.3% to 37.4%) in Chinese Americans, 31.1% (CI, 26.3% to 36.3%) in African Americans, 38.5% (CI, 32.6% to 44.6%) in Hispanics, and 43.6% (CI, 36.8% to 50.6%) in South Asians. Adjustment for demographic, behavioral, and ectopic body fat measures did not explain racial/ethnic differences. After adjustment for age, sex, and race/ethnicity–body mass index (BMI) interaction, for the equivalent MAN prevalence at a BMI of 25.0 kg/m2 in whites, the corresponding BMI values were 22.9 kg/m2 (CI, 19.5 to 26.3 kg/m2) in African Americans, 21.5 kg/m2 (CI, 18.5 to 24.5 kg/m2) in Hispanics, 20.9 kg/m2 (CI, 19.7 to 22.1 kg/m2) in Chinese Americans, and 19.6 kg/m2 (CI, 17.2 to 22.0 kg/m2) in South Asians. Limitation: Cross-sectional study design and lack of harmonized dietary data between studies. Conclusion: Compared with whites, all racial/ethnic minority groups had a statistically significantly higher prevalence of MAN, which was not explained by demographic, behavioral, or ectopic fat measures. Using a BMI criterion for overweight to screen for cardiometabolic risk may result in a large proportion of racial/ethnic minority groups being overlooked. [ABSTRACT FROM AUTHOR]

Aims: Traditionally, fasting and 2-hour post challenge plasma glucose have been used to diagnose diabetes. However, evidence indicates that clinically relevant pathophysiological information can be obtained by adding intermediate time-points to a standard oral glucose tolerance test (OGTT).Methods: We studied a population-based sample of 3666 Asian Indians without diabetes from the CARRS-Chennai Study, India. Participants underwent a three-point (fasting, 30-min, and 2-h) OGTT at baseline. Patterns of glycemic response during OGTT were identified using latent class mixed-effects models. After a median follow-up of two years, participants had a second OGTT. Logistic regression adjusted for diabetes risk factors was used to compare risk of incident diabetes among participants in different latent classes.Results: We identified four latent classes with different glucose patterns (Classes 1-4). Glucose values for Classes 1, 2, and 4 ranked consistently at all three time-points, but at gradually higher levels. However, Class 3 represented a distinct pattern, characterized by high 30-min (30minPG), normal fasting (FPG) and 2-h (2hPG) plasma glucose, moderately high insulin sensitivity, and low acute insulin response. Approximately 22% of participants were categorized as Class 3, and had a 10-fold risk of diabetes compared to the group with the most favorable glucose response, despite 92.5% of Class 3 participants having normal glucose tolerance (NGT) at baseline.Conclusions: Elevated 30minPG is associated with high risk of incident diabetes, even in individuals classified as NGT by a traditional OGTT. Assessing 30minPG may identify a subgroup of high-risk individuals who remained unidentified by traditional measures. [ABSTRACT FROM AUTHOR]

Aims: This study examines mortality differences associated with current glycemic status in mortality by current glycemic status among adults with a previously diagnosed diabetes. Using previous clinical diagnosis of diabetes (diagnosed diabetes) and laboratory measures of hemoglobin A1c (HbA1c) measured at baseline, we estimated mortality differentials simultaneously by diagnosed diabetes and baseline glycemic status in the United States.Methods: Data were from 39,491 adults aged 30-84 years assessed in the National Health and Nutrition Examination Survey (NHANES) III and continuous NHANES 1999-2014 linked to mortality data. We categorized participants into four mutually exclusive groups based on diagnosed diabetes and glycemic control measured by HbA1c ≥6.5 % at baseline. Relative hazard ratio (HR) of all-cause death among these four groups were estimated using Cox proportional models.Results: There was no significant difference in mortality by glycemic control status among adults with diagnosed diabetes. The same finding was observed among adults without diagnosed diabetes. Adults with diagnosed diabetes had higher mortality than adults without diagnosed diabetes independent of their baseline glycemic control.Conclusions: Once diagnosed with diabetes, US adults with normal- and hyper-glycemia showed no significant difference in all-cause mortality. This finding emphasizes the importance of primary prevention interventions among adults with a sign of early-stage diabetes. [ABSTRACT FROM AUTHOR]

OBJECTIVE To assess the prevalence of diabetes and prediabetes and the associated risk factors in two Asian Indian populations living in different environments. RESEARCH DESIGN AND METHODS We performed cross-sectional analyses, using representative samples of 2,305 Asian Indians aged 40-84 years living in Chennai, India, from the Centre for cArdiometabolic Risk Reduction in South-Asia study (CARRS) (2010-2011), and 757 Asian Indians aged 40-84 years living in the greater San Francisco and Chicago areas from the U.S. Mediators of Atherosclerosis in South Asians Living in America (MASALA) study (2010-2013). Diabetes was defined as self-reported use of glucose-lowering medication, fasting glucose ≥126 mg/dL, or 2-h glucose ≥200 mg/dL. Prediabetes was defined as fasting glucose 100-125 mg/dL and/or 2-h glucose 140-199 mg/dL. RESULTS Age-adjusted diabetes prevalence was higher in India (38% [95% CI 36-40]) than in the U.S. (24% [95% CI 21-27]). Age-adjusted prediabetes prevalence was lower in India (24% [95% CI 22-26]) than in the U.S. (33% [95% CI 30-36]). After adjustment for age, sex, waist circumference, and systolic blood pressure, living in the U.S. was associated with an increased odds for prediabetes (odds ratio 1.2 [95% CI 0.9-1.5]) and a decreased odds for diabetes (odds ratio 0.5 [95% CI 0.4-0.6]). CONCLUSIONS These findings indicate possible changes in the relationship between migration and diabetes risk and highlight the growing burden of disease in urban India. Additionally, these results call for longitudinal studies to better identify the gene-environment-lifestyle exposures that underlie the elevated risk for type 2 diabetes development in Asian Indians. [ABSTRACT FROM AUTHOR]

Background: Diabetes and hypertension are common in Asian Americans and vary by subgroup. There may be further variation by social determinants of health (SDOHs), but few studies have examined this previously. Objective: To examine the associations of SDOHs and diabetes and hypertension within and across Asian subgroups in the USA Design: Series cross-sectional analyses Setting: National Health Interview Surveys (NHIS) from 1999 to 2018 Participants: Asian-American adults (Chinese, Filipino, Asian Indian, and Other Asian [Korean, Vietnamese, Japanese, and other]) Measurements: Self-reported diabetes and hypertension prevalence in pooled 5-year increments over 1999–2018 and multivariable regression models to assess the adjusted prevalence of diabetes or hypertension by poverty, marital status, education, and years in the USA, adjusting for age, sex, BMI, and health insurance status Results: From 1999–2003 to 2014–2018, the age- and sex-adjusted prevalence of diabetes increased for Other Asians (absolute change: 4.6%) but not for other subgroups; age- and sex-adjusted hypertension prevalence significantly increased for Asian Indians and Other Asians (absolute change: 5–7.5%). For Filipinos, high school education or less was associated with an increase in diabetes prevalence over time (difference from 1999–2003 to 2014–2018: +6.0 (95% CI: 2.0–10.0)), while for Asian Indians, college education or higher was associated with an increase in diabetes prevalence for the same period (difference: +2.7 (95% CI: 0.01–5.4). Differences over the 2 time periods (1999–2003 and 2014–2018) show that Filipino and Other Asians, who lived in the USA for ≥10 years, increased in diabetes prevalence. Similar variations in associations of SDOHs by Asian subgroup were seen for hypertension. Limitations: Self-reported primary outcomes and multi-year data were pooled due to small sample sizes. Conclusions: The influence of SDOHs on cardiometabolic risk is not uniform among Asian Americans, implying tailored strategies may be needed for different population subgroups. Primary Funding Source: NIH [ABSTRACT FROM AUTHOR]

Aims: We assessed the relative associations of β-cell dysfunction and insulin sensitivity with baseline glycemic status and incident glycemic progression among Asian Indians in the United States. Methods: A 5-sample oral glucose tolerance test was obtained at baseline. Normoglycemia, impaired fasting glucose (IFG), impaired glucose tolerance (IGT), and type 2 diabetes (T2DM) were defined by ADA criteria. The Matsuda Index (ISIM) estimated insulin sensitivity, and the Disposition Index (DIo) estimated β-cell function. Visceral fat was measured by abdominal CT. After 2.5 years, participants underwent a 2-sample oral glucose tolerance test. Standardized polytomous logistic regression was used to examine associations with prevalent and incident glycemia. Results: Mean age was 57 ± 8 years and BMI 26.1 ± 4.6 kg/m2. Log ISIM and log DIo were associated with prediabetes and T2DM after adjusting for age, sex, BMI, family history of diabetes, hypertension, and smoking. After adjusting for visceral fat, only DIo remained associated with prediabetes (OR per SD 0.17, 95% CI: 0.70, 0.41) and T2DM (OR 0.003, 95% CI: 0.0001, 0.03). Incidence rates (per 1,000 person-years) were: normoglycemia to IGT: 82.0, 95% CI (40, 150); to IFG: 8.4, 95% CI (0, 41); to T2DM: 8.6, 95% CI (0, 42); IGT to T2DM: 55.0, 95% CI (17, 132); IFG to T2DM: 64.0, 95% CI (3, 316). The interaction between sex and the change in waist circumference (OR 1.8, per SD 95% CI: 1.22, 2.70) and the change in log HOMA-β (OR 0.37, per SD 95% CI: 0.17, 0.81) were associated with glycemic progression. Conclusions: The association of DIo with baseline glycemia after accounting for visceral fat as well as the association of the change in log HOMA-β with incident glycemic progression implies innate β-cell susceptibility in Asian Indians for glucose intolerance or dysglycemia. [ABSTRACT FROM AUTHOR]

Type 2 diabetes mellitus (T2DM) is one of the leading causes of morbidity and mortality. While all ethnic groups are affected, the prevalence of T2DM in South Asians, both in their home countries and abroad, is extremely high and is continuing to rise rapidly. Innate biological susceptibilities coupled with rapid changes in physical activity, diet, and other lifestyle behaviors are contributing factors propelling the increased burden of disease in this population. The large scope of this problem calls for investigations into the cause of increased susceptibility and preventative efforts at both the individual and population level that are aggressive, culturally sensitive, and start early. In this review, we outline the biological and environmental factors that place South Asians at elevated risk for T2DM, compared with Caucasian and other ethnic groups. [ABSTRACT FROM AUTHOR]

Aims: To determine whether obesity‐associated metabolites are associated with type 2 diabetes (T2DM) risk among South Asians. Materials and Methods: Serum‐based nuclear magnetic resonance imaging metabolomics data were generated from two South Asian population‐based prospective cohorts from Karachi, Pakistan: CARRS1 (N = 4017) and CARRS2 (N = 4802). Participants in both cohorts were followed up for 5 years and incident T2DM was ascertained. A nested case‐control study approach was developed to select participants from CARRS1 (Ncases = 197 and Ncontrols = 195) and CARRS2 (Ncases = 194 and Ncontrols = 200), respectively. First, we investigated the association of 224 metabolites with general obesity based on body mass index and with central obesity based on waist‐hip ratio, and then the top obesity‐associated metabolites were studied in relation to incident T2DM. Results: In a combined sample of the CARRS1 and CARRS2 cohorts, out of 224 metabolites, 12 were associated with general obesity and, of these, one was associated with incident T2DM. Fifteen out of 224 metabolites were associated with central obesity and, of these, 10 were associated with incident T2DM. The higher level of total cholesterol in high‐density lipoprotein (HDL) was associated with reduced T2DM risk (odds ratio [OR] 0.68, 95% confidence interval [CI] 0.53, 0.86; P = 1.2 × 10−3), while higher cholesterol esters in large very‐low‐density lipoprotein (VLDL) particles were associated with increased T2DM risk (OR 1.90, 95% CI 1.40, 2.58; P = 3.5 × 10−5). Conclusion: Total cholesterol in HDL and cholesterol esters in large VLDL particles may be an important biomarker in the identification of early development of obesity‐associated T2DM risk among South Asian adults. [ABSTRACT FROM AUTHOR]

The article discusses research on the effect of type 2 diabetes screening on cardiovascular (CVD) morbidity and mortality. It references a study by W. H. Herman published within the issue. Topics covered include the effectiveness of intensive treatment versus routine care on 5-year CVD incidence and mortality, the risk reductions associated with hypergylcemia screening and intensive treatment, and the benefits of screening for type 2 diabetes in preventing CVD morbidity and mortality.

OBJECTIVE: To describe the natural history of diabetes in Indians. RESEARCH DESIGN AND METHODS: Data are from participants older than 20 years in the Centre for Cardiometabolic Risk Reduction in South Asia longitudinal study. Glycemic states were defined per American Diabetes Association criteria. Markov models were used to estimate annual transition probabilities and sojourn time through states. RESULTS: Among 2,714 diabetes-free participants, 641 had isolated impaired fasting glucose (iIFG), and 341 had impaired glucose tolerance (IGT). The annual transition to diabetes for those with IGT was 13.9% (95% CI 12.0, 15.9) versus 8.6% (7.3, 9.8) for iIFG. In the normoglycemia ↔ iIFG → diabetes model, mean sojourn time in normoglycemia was 40.3 (34.6, 48.2) years, and sojourn time in iIFG was 9.7 (8.4, 11.4) years. For the normoglycemia ↔ IGT → diabetes model, mean sojourn time in normoglycemia was 34.5 (29.5, 40.8) years, and sojourn time in IGT was 6.1 (5.3, 7.1) years. CONCLUSIONS: Individuals reside in normoglycemia for 35–40 years; however, progression from prediabetes to diabetes is rapid. [ABSTRACT FROM AUTHOR]

Introduction: Several interventions have been found to be effective for reversing prediabetes in adults. This systematic review and meta-analysis aims to compare the effectiveness of such interventions.Methods: MEDLINE, Embase, and Cochrane Library databases were searched for articles published between January 1, 2000 and June 27, 2018. RCTs in adults with prediabetes, testing nonsurgical interventions lasting for ≥3 months, and reporting the number of participants achieving normal glucose levels at intervention end were eligible. The pooled risk difference and number needed to treat for achieving normoglycemia were estimated using a random-effects, arm-based network meta-analysis. The strength of the evidence was assessed using Grading of Recommendations Assessment, Development, and Evaluation. Data were obtained in 2018 and analyzed in 2019 and 2021.Results: Of 54 studies included in the systematic review, 47 were meta-analyzed (n=26,460, mean age=53 years, 46% male, 31% White). Studies included 27 arms testing lifestyle modification interventions, 25 testing medications, 5 testing dietary supplements, and 10 testing Chinese medicine. There were 35 control/placebo arms. At a median follow-up of 1.6 years, more participants in the lifestyle modification groups achieved normoglycemia than those in the control (risk difference=0.18, number needed to treat=6). The strength of the evidence was strong for lifestyle modification. Over a median follow-up of 2.7 years, more participants receiving glucagon-like peptide-1 receptor agonists (risk difference=0.47, number needed to treat=2), α-glucosidase inhibitors (risk difference=0.29, number needed to treat=4), and insulin sensitizers (risk difference=0.23, number needed to treat=4) achieved normoglycemia than control. The strength of evidence was moderate for these medications.Discussion: Although several pharmacological approaches can reverse prediabetes, lifestyle modification provides the strongest evidence of effectiveness and should remain the recommended approach to address this condition. [ABSTRACT FROM AUTHOR]

Background: The relationship between body weight and cardiometabolic disease may vary substantially by race/ethnicity.Objective: To determine the prevalence and correlates of the phenotype of metabolic abnormality but normal weight (MAN) for 5 racial/ethnic groups.Design: Cross-sectional analysis.Setting: 2 community-based cohorts.Participants: 2622 white, 803 Chinese American, 1893 African American, and 1496 Hispanic persons from MESA (Multi-Ethnic Study of Atherosclerosis) and 803 South Asian participants in the MASALA (Mediators of Atherosclerosis in South Asians Living in America) study.Measurements: Prevalence of 2 or more cardiometabolic abnormalities (high fasting glucose, low high-density lipoprotein cholesterol, and high triglyceride levels and hypertension) among normal-weight participants was estimated. Correlates of MAN were assessed by using log-binomial models.Results: Among normal-weight participants (n = 846 whites, 323 Chinese Americans, 334 African Americans, 252 Hispanics, and 195 South Asians), the prevalence of MAN was 21.0% (95% CI, 18.4% to 23.9%) in whites, 32.2% (CI, 27.3% to 37.4%) in Chinese Americans, 31.1% (CI, 26.3% to 36.3%) in African Americans, 38.5% (CI, 32.6% to 44.6%) in Hispanics, and 43.6% (CI, 36.8% to 50.6%) in South Asians. Adjustment for demographic, behavioral, and ectopic body fat measures did not explain racial/ethnic differences. After adjustment for age, sex, and race/ethnicity-body mass index (BMI) interaction, for the equivalent MAN prevalence at a BMI of 25.0 kg/m2 in whites, the corresponding BMI values were 22.9 kg/m2 (CI, 19.5 to 26.3 kg/m2) in African Americans, 21.5 kg/m2 (CI, 18.5 to 24.5 kg/m2) in Hispanics, 20.9 kg/m2 (CI, 19.7 to 22.1 kg/m2) in Chinese Americans, and 19.6 kg/m2 (CI, 17.2 to 22.0 kg/m2) in South Asians.Limitation: Cross-sectional study design and lack of harmonized dietary data between studies.Conclusion: Compared with whites, all racial/ethnic minority groups had a statistically significantly higher prevalence of MAN, which was not explained by demographic, behavioral, or ectopic fat measures. Using a BMI criterion for overweight to screen for cardiometabolic risk may result in a large proportion of racial/ethnic minority groups being overlooked.Primary Funding Source: National Institutes of Health. [ABSTRACT FROM AUTHOR]

Google Scholar Crossref Search ADS PubMed WorldCat 11 Enas EA, Mohan V, Deepa M, Farooq S, Pazhoor S, Chennikkara H. The metabolic syndrome and dyslipidemia among Asian Indians: a population with high rates of diabetes and premature coronary artery disease. Tablet-based questionnaires facilitate the easier acquisition of data (eliminates the transfer of data from paper forms to electronic databases), execution of skip patterns and application of instant data-checking rules. [Extracted from the article]

Background: Diabetes and hypertension disparities are pronounced among South Asians. There is regional variation in the prevalence of diabetes and hypertension in the US, but it is unknown whether there is variation among South Asians living in the US. The objective of this study was to compare the burden of diabetes and hypertension between South Asian patients receiving care in the health systems of two US cities. Methods: Cross-sectional analyses were performed using electronic health records (EHR) for 90,137 South Asians receiving care at New York University Langone in New York City (NYC) and 28,868 South Asians receiving care at Emory University (Atlanta). Diabetes was defined as having 2 + encounters with a diagnosis of diabetes, having a diabetes medication prescribed (excluding Acarbose/Metformin), or having 2 + abnormal A1C levels (≥ 6.5%) and 1 + encounter with a diagnosis of diabetes. Hypertension was defined as having 3 + BP readings of systolic BP ≥ 130 mmHg or diastolic BP ≥ 80 mmHg, 2 + encounters with a diagnosis of hypertension, or having an anti-hypertensive medication prescribed. Results: Among South Asian patients at these two large, private health systems, age-adjusted diabetes burden was 10.7% in NYC compared to 6.7% in Atlanta. Age-adjusted hypertension burden was 20.9% in NYC compared to 24.7% in Atlanta. In Atlanta, 75.6% of those with diabetes had comorbid hypertension compared to 46.2% in NYC. Conclusions: These findings suggest differences by region and sex in diabetes and hypertension risk. Additionally, these results call for better characterization of race/ethnicity in EHRs to identify ethnic subgroup variation, as well as intervention studies to reduce lifestyle exposures that underlie the elevated risk for type 2 diabetes and hypertension development in South Asians. [ABSTRACT FROM AUTHOR]