Evidence-based screening, clinical care and health education recommendations for Alaska Native peoples with prediabetes living in southcentral Alaska: findings from the Alaska EARTH follow-up study.

Pre-diabetes (pre-DM) is a strong predictor of diabetes (DM) over time. This study investigated how much of the recent increase in pre-DM identified among Alaska Native (AN) peoples living in urban southcentral Alaska may be due to changes in diagnostic methods. We used clinical and demographic data collected at baseline between 2004 and 2006 and at follow-up collected between 2015 and 2017 from the urban southcentral Alaska Education and Research Towards Health (EARTH) cohort. We used descriptive statistics and logistic regression to explore differences in demographic and clinical variables among the identified pre-DM groups. Of 388 participants in the follow-up study, 243 had A1c levels indicating pre-DM with only 20 demonstrating pre-DM also by fasting blood glucose (FBG). Current smoking was the sole predictor for pre-DM by A1c alone while abdominal obesity and elevated FBG-predicted pre-DM by A1c+FBG. No participants had an elevated FBG without an A1c elevation. A substantial portion of the rise in pre-DM found among urban southcentral AN peoples in the EARTH follow-up study was due to the addition of A1c testing. Pre-DM by A1c alone should be used to motivate behavioural changes that address modifiable risk factors, including smoking cessation, physical activity and weight management.

"We Eat Without Thinking: We Just Eat, Eat, Eat" - A Thematic Exploration of Cultural Practices of Ethnically Diverse Youth and Their Parents Who Are at Risk for Prediabetes and Type 2 Diabetes.

PURPOSE: Cultural beliefs and practices influence management of type 2 diabetes (T2D) in youth and their parents, and have been minimally explored, limiting our understanding and implementation of preventative healthcare. An enhanced evidence base may inform comprehensive, effective community health nursing (CHN). Thus, the purpose of this research was to explore the influence of youths' and their parents' understandings of cultural practices on risk for prediabetes and T2D. DESIGN: A secondary thematic analysis was conducted. Qualitative data were obtained from semi-structured interviews with 24 participants who were purposefully recruited from two mid-western Canadian high schools. FINDINGS: Three themes and one subtheme were developed including: 1) Food Culture and related subtheme, Acculturation to New Food Choices; 2) Exercise Culture: Adapting Physical Activity in a New Country; and, 3) Risk Perception of the Effects of T2D on Loved Ones: Behavior Modifications and Motivation. Cultural practices and acculturation to food such as dietary choices, preparation, large portions, different dietary staples, food availability, and food gathering patterns influenced health behaviors. Similarly, changes in exercise patterns including adapting to Western video game culture, weather in Canada, and the new way of life emerged as important factors that impacted health. Participants who perceived a familial risk of diabetes identified behavior modifications such as regular diabetes screening, nutrition counseling, healthier food choices, smaller food portions, and an increase in physical activity as strategies to reduce risk of prediabetes and diabetes. CONCLUSIONS: There is a critical need for research aimed at prediabetes and T2D prevention, and intervention programs targeting ethnically diverse groups where prediabetes and T2D is most prevalent. CLINICAL EVIDENCE: Community health nurses are at the core of implementing and supporting disease prevention and, therefore, may consider the findings from this research to develop family-focused, intergenerational, and culturally-based interventions.

Neighborhood Environment and Metabolic Risk in Hispanics/Latinos From the Hispanic Community Health Study/Study of Latinos.

INTRODUCTION: This study examines the associations of neighborhood environments with BMI, HbA1c, and diabetes across 6 years in Hispanic/Latino adults. METHODS: Participants from the Hispanic Community Health Study/Study of Latinos San Diego site (n=3,851, mean age=39.4 years, 53.3% women, 94.0% Mexican heritage) underwent assessment of metabolic risk factors and diabetes status (categorized as normoglycemia, prediabetes, and diabetes) at baseline (2008-2011) and approximately 6 years later (2014-2017). In the Study of Latinos Community and Surrounding Areas Study ancillary study (2015-2020), participant baseline addresses were geocoded, and neighborhoods were defined using 800-meter circular buffers. Neighborhood variables representing socioeconomic deprivation, residential stability, social disorder, walkability, and greenness were created using Census and other public databases. Analyses were conducted in 2020-2021. RESULTS: Complex survey regression analyses revealed that greater neighborhood socioeconomic deprivation was associated with higher BMI (ß=0.14, p<0.001) and HbA1c (ß=0.08, p<0.01) levels and a higher odds of worse diabetes status (i.e., having prediabetes versus normoglycemia and having diabetes versus prediabetes; OR=1.25, 95% CI=1.06, 1.47) at baseline. Greater baseline neighborhood deprivation also was related to increasing BMI (ß=0.05, p<0.01) and worsening diabetes (OR=1.27, 95% CI=1.10, 1.46) statuses, whereas social disorder was related to increasing BMI levels (ß=0.05, p<0.05) at Visit 2. There were no associations of expected protective factors of walkability, greenness, or residential stability. CONCLUSIONS: Neighborhood deprivation and disorder were related to worse metabolic health in San Diego Hispanic/Latino adults of mostly Mexican heritage. Multilevel interventions emphasizing individual and structural determinants may be most effective in improving metabolic health among Hispanic/Latino individuals.

Breath biomarkers of insulin resistance in pre-diabetic Hispanic adolescents with obesity.

Insulin resistance (IR) affects a quarter of the world's adult population and is a major factor in the pathogenesis of cardio-metabolic disease. In this pilot study, we implemented a non-invasive breathomics approach, combined with random forest machine learning, to investigate metabolic markers from obese pre-diabetic Hispanic adolescents as indicators of abnormal metabolic regulation. Using the ReCIVA breathalyzer device for breath collection, we have identified a signature of 10 breath metabolites (breath-IR model), which correlates with Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) (R = 0.95, p < 0.001). A strong correlation was also observed between the breath-IR model and the blood glycemic profile (fasting insulin R = 0.91, p < 0.001 and fasting glucose R = 0.80, p < 0.001). Among tentatively identified metabolites, limonene, undecane, and 2,7-dimethyl-undecane, significantly cluster individuals based on HOMA-IR (p = 0.003, p = 0.002, and p < 0.001, respectively). Our breath-IR model differentiates between adolescents with and without IR with an AUC-ROC curve of 0.87, after cross-validation. Identification of a breath signature indicative of IR shows utility of exhaled breath metabolomics for assessing systemic metabolic dysregulation. A simple and non-invasive breath-based test has potential as a diagnostic tool for monitoring IR progression, allowing for earlier detection of IR and implementation of early interventions to prevent onset of type 2 diabetes mellitus.

Prevalence of type-2 diabetes and prediabetes in Malaysia: A systematic review and meta-analysis.

OBJECTIVE: The main purpose of this study was to investigate the pooled prevalence of prediabetes and type-2 diabetes in the general population of Malaysia. METHOD: We systematically searched Medline (PubMed), Embase, Web of Science, Google Scholar and Malaysian Journals Online to identify relevant studies published between January 1, 1995, and November 30, 2021, on the prevalence of type-2 diabetes in Malaysia. Random-effects meta-analyses were used to obtain the pooled prevalence of diabetes and prediabetes. Subgroup analyses also used to analyze to the potential sources of heterogeneity. Meta- regression was carried to assess associations between study characteristics and diabetes prevalence. Three independent authors selected studies and conducted the quality assessment. The quality of the final evidence was evaluated using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. RESULTS: Of 2689 potentially relevant studies, 786 titles and abstract were screened. Fifteen studies with 103063 individuals were eligible to be included in the meta-analyses. The pooled prevalence of diabetes was 14.39% (95% CI, 12.51%-16.38%; I2 = 98.4%, 103063 participants from 15 studies). The pooled prevalence of prediabetes was 11.62% (95% CI, 7.17%-16.97%; I2 = 99.8, 88702 participants from 9 studies). The subgroup analysis showed statistically significant differences in diabetes prevalence by the ethical sub-populations with highest in Indians (25.10%; 95% CI, 20.19%-30.35%), followed by Malays (15.25%; 95% CI, 11.59%-19.29%), Chinese (12.87%; 95% CI, 9.73%-16.37%), Bumiputeras (8.62%; 95% CI, 5.41%-12.47%) and others (6.91%; 95% CI, 5.71%-8.19%). There was no evidence of publication bias, although heterogeneity was high (I2 ranged from 0.00% to 99·8%). The quality of evidence based on GRADE was low. CONCLUSIONS: Results of this study suggest that a high prevalence of prediabetes and diabetes in Malaysia. The diabetes prevalence is associated with time period and increasing age. The Malaysian government should develop a comprehensive approach and strategy to enhance diabetes awareness, control, prevention, and treatment. TRIAL REGISTRATION: Trial registration no. PROSPERO CRD42021255894; https://clinicaltrials.gov/.

Dynamic assessment of insulin secretion and insulin resistance in Asians with prediabetes.

AIMS/HYPOTHESIS: Prediabetes and type 2 diabetes are highly prevalent in Asia. Understanding the pathophysiology of abnormal glucose homeostasis in Asians will have important implications for reducing disease burden, but there have been conflicting reports on the relative contributions of insulin secretion and action in disease progression. In this study, we aimed to assess the contribution of ß-cell dysfunction and insulin resistance in the Asian prediabetes phenotype. METHODS: We recruited 1679 Asians with prediabetes (n = 659) or normoglycemia (n = 1020) from a multi-ethnic population in Singapore. Participants underwent an oral glucose tolerance test, an intravenous glucose challenge, and a hyperinsulinemic-euglycemic clamp procedure to determine glucose tolerance, ß-cell responsivity, insulin secretion, insulin clearance and insulin sensitivity. RESULTS: Participants with prediabetes had significantly higher glucose concentrations in the fasting state and after glucose ingestion than did normoglycemic participants. Insulin sensitivity (M/I ratio) was ~15% lower, acute insulin response (AIR) to intravenous glucose and ß-cell responsivity to oral glucose were ~35% lower, but total insulin secretion rate in the fasting state and after glucose ingestion was ~10% greater in prediabetic than in normoglycemic participants. The decrease in ß-cell function with worsening glucose homeostasis in Asians with prediabetes was associated with progressively greater defects in AIR rather than M/I. However, analysis using static surrogate measures (HOMA indices) of insulin resistance and ß-cell function revealed a different pattern. CONCLUSIONS: Lower AIR to intravenous glucose and ß-cell responsivity to oral glucose, on a background of mild insulin resistance, are the major contributors to the dysregulation of glucose homeostasis in Asians with prediabetes.

Dysglycemia and Abnormal Adiposity Drivers of Cardiometabolic-Based Chronic Disease in the Czech Population: Biological, Behavioral, and Cultural/Social Determinants of Health.

In contrast to the decreasing burden related to cardiovascular disease (CVD), the burden related to dysglycemia and adiposity complications is increasing in Czechia, and local drivers must be identified. A comprehensive literature review was performed to evaluate biological, behavioral, and environmental drivers of dysglycemia and abnormal adiposity in Czechia. Additionally, the structure of the Czech healthcare system was described. The prevalence of obesity in men and diabetes in both sexes has been increasing over the past 30 years. Possible reasons include the Eastern European eating pattern, high prevalence of physical inactivity and health illiteracy, education, and income-related health inequalities. Despite the advanced healthcare system based on the compulsory insurance model with free-for-service healthcare and a wide range of health-promoting initiatives, more effective strategies to tackle the adiposity/dysglycemia are needed. In conclusion, the disease burden related to dysglycemia and adiposity in Czechia remains high but is not translated into greater CVD. This discordant relationship likely depends more on other factors, such as improvements in dyslipidemia and hypertension control. A reconceptualization of abnormal adiposity and dysglycemia into a more actionable cardiometabolic-based chronic disease model is needed to improve the approach to these conditions. This review can serve as a platform to investigate causal mechanisms and secure effective management of cardiometabolic-based chronic disease.

Ethnic differences in prevalence of actionable HbA1c levels in UK Biobank: implications for screening.

INTRODUCTION: Early detection and treatment of diabetes as well as its prevention help lessen longer-term complications. We determined the prevalence of pre-diabetes and undiagnosed diabetes in the UK Biobank and standardized the results to the UK general population. RESEARCH DESIGN AND METHODS: This cross-sectional study analyzed baseline UK Biobank data on plasma glycated hemoglobin (HbA1c) to compare the prevalence of pre-diabetes and undiagnosed diabetes mellitus in white, South Asian, black, and Chinese participants. The overall and ethnic-specific results were standardized to the UK general population aged 40-70 years of age. RESULTS: Within the UK Biobank, the overall crude prevalence was 3.6% for pre-diabetes, 0.8% for undiagnosed diabetes, and 4.4% for either. Following standardization to the UK general population, the results were similar at 3.8%, 0.8%, and 4.7%, respectively. Crude prevalence was much higher in South Asian (11.0% pre-diabetes; 3.6% undiagnosed diabetes; 14.6% either) or black (13.8% pre-diabetes; 3.0% undiagnosed diabetes; 16.8% either) participants. Only six middle-aged or old-aged South Asian individuals or seven black would need to be tested to identify an HbA1c result that merits action. CONCLUSIONS: Single-stage population screening for pre-diabetes or undiagnosed diabetes in middle-old or old-aged South Asian and black individuals using HbA1c could be efficient and should be considered.

Comparison of islet cell function, insulin sensitivity, and incretin axis between Asian-Indians with either impaired fasting glucose or impaired glucose tolerance, and normal healthy controls.

AIMS: The objective of this study was to compare the islet cell function, insulin sensitivity, and incretin axis between Asian-Indian subjects with either impaired fasting glucose (IFG), or impaired glucose tolerance (IGT), and normal glucose tolerance (NGT). MATERIALS AND METHODS: Prediabetes subjects underwent a mixed meal tolerance test(MMTT) after overnight fasting. Samples for glucose, insulin, glucagon, and glucagon-like peptide-1 (GLP-1) were collected at 0, 30, 60, and 120 min. Insulin secretion sensitivity index -2 (ISSI-2) for beta-cell function and Matsuda index for insulin sensitivity were assessed. Alpha cell function was assessed by measuring the area under the curve (AUC) 0-120 glucagon/AUC0-120 glucose. RESULTS: A total of sixty subjects were recruited with 20 in each group. The beta-cell function represented by ISSI-2 was impaired in prediabetes subjects as compared to NGT group (IFG: 2.09 ± 0.44 vs. NGT: 3.04 ± 0.80, P < 0.0001, and IGT: 2.33 ± 0.59 vs. NGT: 3.04 ± 0.80, P = 0.002). Similarly, AUC0-120 glucagon/AUC0-120 glucose was also lower in prediabetes group as compared to healthy controls (IFG: 0.41(0.54) vs. NGT: 1.07(0.39), P = 0.003 and IGT: 0.57(0.38) vs. NGT: 1.07(0.39), P = 0.001). CONCLUSION: Asian-Indian prediabetes subjects have reduced beta-cell function with lesser glucagon secretion during MMTT as compared to normal healthy controls.

Prediabetes and pregnancy: Early pregnancy HbA1c identifies Australian Aboriginal women with high-risk of gestational diabetes mellitus and adverse perinatal outcomes.

AIMS: To assess whether early pregnancy HbA1c can predict gestational diabetes mellitus (GDM) and adverse birth outcomes in Australian women. METHODS: Prospective study of 466 women without diabetes, aged ≥16-years at first antenatal presentation. Recruitment was from 27 primary healthcare sites in rural and remote Australia from 9-January 2015 to 31-May 2018. HbA1c was measured with first antenatal investigations (<20-weeks gestation). Primary outcome measure was predictive value of HbA1c for GDM, by routine 75 g oral glucose tolerance test (OGTT; ≥24-weeks gestation), and for large-for-gestational-age (LGA) newborn. RESULTS: Of 396 (129 Aboriginal) women with routine OGTT, 28.8% had GDM (24.0% Aboriginal). HbA1c ≥5.6% (≥38 mmol/mol) was highly predictive (71.4%, 95% CI; 47.8-88.7%) for GDM in Aboriginal women, and in the total cohort increased risk for LGA newborn (RR 2.04, 95% CI; 1.03-4.01, P = 0.040). There were clear differences between Aboriginal and non-Aboriginal women: 16.3% v 5.2% (P < 0.001) had elevated HbA1c whereas 12.4% v 29.6% (P < 0.001) developed hyperglycemia during pregnancy. CONCLUSIONS: Early pregnancy HbA1c ≥5.6% (≥38 mmol/mol) identifies Aboriginal women with apparent prediabetes and elevated risk of having an LGA newborn. Universal HbA1c at first antenatal presentation could facilitate earlier management of hyperglycemia and improved perinatal outcome in this high-risk population.

Association of fasting glucose with lifetime risk of incident heart failure: the Lifetime Risk Pooling Project.

BACKGROUND: Given the rising prevalence of dysglycemia and disparities in heart failure (HF) burden, we determined race- and sex-specific lifetime risk of HF across the spectrum of fasting plasma glucose (FPG). METHODS: Individual-level data from adults without baseline HF was pooled from 6 population-based cohorts. Modified Kaplan-Meier analysis, Cox models adjusted for the competing risk of death, and Irwin's restricted mean were used to estimate the lifetime risk, adjusted hazard ratio (aHR), and years lived free from HF in middle-aged (40-59 years) and older (60-79 years) adults with FPG < 100 mg/dL, prediabetes (FPG 100-125 mg/dL) and diabetes (FPG ≥ 126 mg/dL or on antihyperglycemic agents) across race-sex groups. RESULTS: In 40,117 participants with 638,910 person-years of follow-up, 4846 cases of incident HF occurred. The lifetime risk of HF was significantly higher among middle-aged White adults and Black women with prediabetes (range: 6.1% [95% CI 4.8%, 7.4%] to 10.8% [95% CI 8.3%, 13.4%]) compared with normoglycemic adults (range: 3.5% [95% CI 3.0%, 4.1%] to 6.5% [95% CI 4.9%, 8.1%]). Middle-aged Black women with diabetes had the highest lifetime risk (32.4% [95% CI 26.0%, 38.7%]) and aHR (4.0 [95% CI 3.0, 5.4]) for HF across race-sex groups. Middle-aged adults with prediabetes and diabetes lived on average 0.9-1.6 and 4.1-6.0 fewer years free from HF, respectively. Findings were similar in older adults except older Black women with prediabetes did not have a higher lifetime risk of HF. CONCLUSIONS: Prediabetes was associated with higher lifetime risk of HF in middle-aged White adults and Black women, with the association attenuating in older Black women. Black women with diabetes had the highest lifetime risk of HF compared with other race-sex groups.

Investigating IGF-II and IGF2R serum markers as predictors of body weight loss following an 8-week acute weight loss intervention: PREVIEW sub-study.

BACKGROUND: Weight reduction is effective in preventing T2D however, weight reduction and maintenance is difficult to achieve on a population scale. Serum insulin-like growth factor II (IGF-II) and IGF-II receptor (IGF2R) have been associated with diabetic status and body weight in prior studies and, in addition, IGF-II has been indicated as predictive of future weight change. We measured these serum markers in participants with obesity/overweight and prediabetes from the New Zealand arm of the PREVIEW lifestyle intervention randomised trial before and after an 8-week low energy diet (LED). METHODS: Total IGF-II (n = 223) and soluble IGF2R (n = 151) were measured using commercial ELISA kits on fasted serum samples taken prior to an 8-week LED and also from participants completing the LED. RESULTS: IGF-II levels were not correlated with baseline body weight although mean levels did significantly decrease following the LED. Change in IGF-II serum level was correlated to fasting glucose change (p = 0.04) but not to weight change. Baseline serum IGF2R was correlated with BMI (p = 0.007) and was significantly higher in Maori compared to European Caucasian participants independent of body weight (p = 0.0016). Following LED, IGF2R change was positively associated with weight change (p = 0.02) when corrected for ethnicity. Pre-LED levels of these serum markers were not predictive of the magnitude of weight loss over the 8 weeks. CONCLUSION: Neither marker was useful in predicting magnitude of short-term weight loss. IGF2R is positively associated with BMI and is higher in Maori compared to European Caucasian individuals.

Prevalence of non-alcoholic fatty liver disease and factors associated with it in Indian women with a history of gestational diabetes mellitus.

AIMS/INTRODUCTION: This study aims to evaluate the prevalence of and factors associated with non-alcoholic fatty liver disease (NAFLD) in Indian women with prior gestational diabetes mellitus (GDM) diagnosed using International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria. MATERIALS AND METHODS: This cross-sectional study (2018-2019) enrolled women with and without prior GDM. Study participants underwent detailed assessments, including relevant medical, obstetric and demographic details; 75-g oral glucose tolerance test with glucose and insulin estimation at 0, 30 and 120 min; and other relevant biochemical and anthropometric measurements. NAFLD status was defined by ultrasonography. RESULTS: We evaluated a total of 309 women (201 and 108 with and without prior GDM, respectively) at a mean age of 31.9 ± 5.0 years and median of 16 months (interquartile range 9-38 months) following the index delivery. The prevalence of NAFLD was significantly higher in women with prior GDM (62.7% vs 50.0%, P = 0.038; grade 2 and 3 disease, 13.9% vs 6.5%). On logistic regression analysis (fully adjusted model), the odds of NAFLD were 2.11-fold higher in women with prior GDM (95% confidence interval 1.16-3.85, P = 0.014). Overweight/obesity, metabolic syndrome, prediabetes and homeostasis model of assessment of insulin resistance (a measure of insulin resistance) were positively associated with NAFLD, whereas the Matsuda index (a measure of insulin sensitivity) showed a negative association with NAFLD. CONCLUSIONS: The prevalence of NAFLD is high in women with prior GDM. Such women also have a high burden of cardiometabolic risk factors. Future studies should evaluate the intermediate and long-term hepatic and cardiovascular risk, and the impact of lifestyle interventions in reducing morbidity in such women.

Plasma adipokines and glycaemic progression among African Americans: Findings from the Jackson Heart Study.

AIM: To evaluate the association between plasma biomarkers including leptin, adiponectin, adiponectin-to-leptin ratio and high-sensitivity C-reactive protein (hsCRP) with risk of glycaemic progression and incident dysglycaemia (pre-diabetes or diabetes) in a community-based sample of African American (AAs). METHODS: We analysed data from 3223 participants without type 2 diabetes at baseline (2000-2004) who attended ≥1 follow-up visit. Poisson regression was used to generate risk ratios (RRs) for glycaemic progression and incident dysglycaemia. RESULTS: Over a median of 7 years, 46.4% developed glycaemic progression (n=1495). After adjusting for demographic and lifestyle variables, the RRs (95% CI) for glycaemic progression comparing highest (Q4) to lowest (Q1) quartiles were 1.30 (1.10-1.54), 0.74 (0.65-0.84), 0.70 (0.62-0.80) and 1.22 (1.07-1.38) for leptin, adiponectin, adiponectin-leptin ratio and hsCRP, respectively. Upon additional adjustment for BMI, the corresponding RRs (95% CIs) were 1.15 (0.94-1.42), 0.76 (0.67-0.86), 0.72 (0.62-0.84) and 1.14 (0.99-1.31) respectively. Among participants with normal glycaemia, the RRs (95% CIs) for incident pre-diabetes in Q4 vs Q1 were 1.37 (1.13-1.67), 0.73 (0.63-0.85), 0.70 (0.59-0.82) and 1.28 (1.10-1.48) for leptin, adiponectin, adiponectin-leptin ratio and hsCRP, respectively; equivalent RRs for incident diabetes were 5.15 (2.63-10.10), 0.36 (0.20-0.68), 0.21 (0.12-0.38) and 3.04 (1.70-5.44), respectively. CONCLUSIONS: In this large community-based cohort of AAs, our results suggest that high plasma leptin and hsCRP, as well as low adiponectin and adiponectin-to-leptin ratio, are associated with higher risks of glycaemic progression. The findings point to the potential utility of these biomarkers in predicting and preventing glycaemic progression in this high-risk population.

Estimated number of eligible Part B beneficiaries for the medicare diabetes prevention program at the county level and by urban-rural classification.

INTRODUCTION: Diabetes imposes large health and financial burdens on Medicare beneficiaries. Type 2 diabetes can be prevented or delayed through lifestyle modification programs. In 2018, Medicare began to offer the Medicare Diabetes Prevention Program (MDPP), a lifestyle intervention, to eligible beneficiaries nationwide. The number of MDPP-eligible beneficiaries is not known, but this information is essential in efforts to expand the program and increase enrollment. This study aimed to estimate the number and spatial variation of MDPP-eligible Part B beneficiaries at the county level and by urban-rural classification. METHODS: Data from 2011-2016 National Health and Nutrition Examination Surveys and a survey-weighted logistic regression model were used to estimate proportions of prediabetes in the United States by sex, age, and race/ethnicity based on the MDPP eligibility criteria. The results from the predictive model were applied to 2015 Medicare Part B beneficiaries to estimate the number of MDPP-eligible beneficiaries. The National Center for Health Statistics' Urban-Rural Classification Scheme for Counties from 2013 were used to define urban and rural categories. RESULTS: An estimated 5.2 million (95% CI = 3.5-7.0 million) Part B beneficiaries were eligible for the MDPP. By state, estimates ranged from 13,000 (95% CI = 8,500-18,000) in Alaska to 469,000 (95% CI = 296,000-641,000) in California. There were 2,149 counties with ≤1,000 eligible beneficiaries and 11 with >25,000. Consistent with demographic patterns, urban counties had more eligible beneficiaries than rural counties. CONCLUSIONS: These estimates could be used to plan locations for new MDPPs and reach eligible Part B beneficiaries for enrollment.

Nativity and prevalence of cardiometabolic diseases among U.S. Asian immigrants.

AIMS: Acculturation has been shown to be an important factor for immigrants' health in the United States. We investigate whether nativity is associated with a greater risk for cardiometabolic diseases among Asian Americans (Asians) vs. non-Hispanic whites (whites). METHODS: Based on data from the U.S. National Health Interview Survey in 2006-2015, 146,862 Asians and whites aged ≥30 years were evaluated. Nativity as a proxy for acculturation was defined using a combination of birthplace and the duration of U.S. residency. Cardiometabolic diseases were defined based on self-reported diagnoses of diabetes, prediabetes, or cardiovascular diseases (CVD). Using 10-year pooled data accounting for complex sampling designs and weights, multiple logistic regression models were used to assess associations. Four Asian subgroups, including Chinese, Filipinos, Asian Indians and other Asians, were evaluated in subgroup analyses. RESULTS: Compared to U.S.-born whites, prevalent type 2 diabetes and prediabetes were higher among Asians depending on nativity. However, the prevalence of CVD was lower among Asians than among whites regardless of nativity (OR≥15 years = 0.5 [95% CI:0.5-0.6], ORU.S-born = 0.7 [95% CI:0.6-0.8]). In addition, compared to U.S.-born whites, prevalent type 2 diabetes and prediabetes increased with an increasing length of U.S. residency for foreign-born Asians among Asians overall (≥15 years: ORdiabetes = 1.5 [95% CI:1.3-1.7]; ORprediabetes = 1.3 [95% CI:1.2-1.6]) and Asian Indians and Filipinos. Furthermore, a significant graded association between prediabetes and length of U.S. residency was found among foreign-born Asians. CONCLUSIONS: The prevalence of diabetes and prediabetes is higher among Asian immigrants who have spent more years in the U.S., than those in U.S.-born whites. Monitoring and prevention efforts for diabetes should target this group.

Screening and Diagnosis of Prediabetes and Diabetes in US Children and Adolescents.

BACKGROUND: The optimal approach to screening and diagnosis of prediabetes and diabetes in youth is uncertain. METHODS: We conducted a cross-sectional analysis of 14 119 youth aged 10 to 19 years in the 1999-2016 NHANES. First, we examined the performance of American Diabetes Association risk-based screening criteria. Second, we evaluated the performance of current clinical definitions of prediabetes and diabetes based on hemoglobin A1c (HbA1c), fasting plasma glucose (FPG), either HbA1c or FPG, or both HbA1c and FPG (confirmatory definition) to identify youth at high cardiometabolic risk. RESULTS: Overall, 25.5% of US youth (10.6 million in 2016) were eligible for screening. Sensitivity and specificity of the screening criteria for detecting any hyperglycemia were low for both HbA1c ≥5.7% (sensitivity = 55.5%, specificity = 76.3%) and FPG ≥100 mg/dL (sensitivity = 35.8%, specificity = 77.1%). Confirmed undiagnosed diabetes (HbA1c ≥6.5% and FPG ≥126 mg/dL) was rare, <0.5% of youth. Most (>85%) cases of diabetes were diagnosed. Associations with cardiometabolic risk were consistently stronger and more specific for HbA1c-defined hyperglycemia (specificity = 98.6%; sensitivity = 4.0%) than FPG-defined hyperglycemia (specificity = 90.1%; sensitivity = 19.4%). CONCLUSIONS: One-quarter of US youth are eligible for screening for diabetes and prediabetes; however, few will test positive, especially for diabetes. Most cases of diabetes in US youth are diagnosed. Regardless of screening eligibility, we found that HbA1c is a specific and useful nonfasting test to identify high-risk youth who could benefit from lifestyle interventions to prevent diabetes and cardiovascular risk in adulthood.

Physical fitness and activity changes after a 24-week soccer-based adaptation of the U.S diabetes prevention program intervention in Hispanic men.

PURPOSE: One third of the U.S. adult population is estimated to have prediabetes. Hispanics have a 50% higher type 2 diabetes (T2DM) death rate compared to non-Hispanic whites, yet low participation in lifestyle change programs, making this subgroup an important target for prevention efforts. The purpose of this study was to determine the effects of an exercise intervention implementing the Center for Disease Control and Prevention National Diabetes Prevention Program (NDPP) plus recreational soccer (RS) in Hispanic men. METHODS: Overweight and obese Hispanic men, aged 30-57 years with prediabetes at screening were recruited from the community. Trained soccer coaches led 30-min facilitated discussion of the NDPP modules after each RS session, with two weekly sessions delivered over 12 wks, then once a wk until 24 wks. The 1-h RS sessions followed the Football Fitness curriculum structure. Standardized study assessments included objectively measured physical activity via fitness tracker, physical fitness via validated field tests, global positional system soccer specific metrics and behavior change questionnaires. Mixed models assessed the outcomes as a function of time and cohort and incorporated an unstructured covariance structure to examine the difference between baseline, 12 and 24 wks. All analyses were conducted as intent-to-treat and generated using SAS v 9.4. RESULTS: Hispanic males (n = 41; mean age 41.9 [6.2 SD] years) were obese at baseline (mean BMI 32.7, standard error [0.7]). After 24 wks of the NDPP+RS intervention, there were significant beneficial changes in vertical jump (2.8 [1.3] cm; p = 0.048), agility and lower extremity muscular power (figure 8-run) at 12 wks (-4.7% change; p = 0.001) and 24 wks (-7.2% change; p < 0.0001), predicted VO2 max (12 wks: 1.9%; p = 0.007; 24 wks 1.0%; p = 0.036), modified push-ups increased 22% (p < 0.0001) at 12 wks and 31% (p < 0.0001) at 24 wks, dynamic sit-ups increased 10% (p = 0.005) at 12 wks and 15% (p < 0.0001) at 24 wks. CONCLUSION: Among middle-aged Latino men, broad-ranging significant improvements in physical fitness were observed after 24 wks participating in lifestyle education plus RS in a single arm feasibility trial.

Racial differences in prediabetes prevalence by test type for the US pediatric and adult population: NHANES 1999-2016.

BACKGROUND: Previous studies have shown that US estimates of prediabetes or diabetes differ depending on test type, fasting plasma glucose (FPG) vs hemoglobin A1c (HbA1c). Given age, race, and test differences reported in the literature, we sought to further examine these differences in prediabetes detection using a nationally representative sample. METHODS: Using the National Health and Nutrition Examination Survey (NHANES) 1999-2016, individuals were identified as having prediabetes with an HbA1c of 5.7% to 6.4% or a FPG of 100 to 125 mg/dL. We excluded individuals with measurements in the diabetic range. We ran generalized estimating equation logistic regressions to examine the relationship between age, race, and test type with interactions, controlling for sex and body mass index. We compared the difference in predicted prediabetes prevalence detected by impaired fasting glycemia (IFG) vs HbA1c by race/ethnicity among children and adults separately using adjusted Wald tests. RESULTS: The absolute difference in predicted prediabetes detected by IFG vs HbA1c was 19.9% for white adolescents, 0% for black adolescents, and 20.1% for Hispanic adolescents; 21.4% for white adults, -1.2% for black adults, and 19.2% for Hispanic adults. Using adjusted Wald tests, we found the absolute differences between black vs white and black vs Hispanic individuals to be significant, but, not between Hispanic and white individuals among children and adults separately. CONCLUSIONS: These observations highlight differences in test performance among racial/ethnic groups. Our findings corroborate the need for further studies to determine appropriate HbA1c cutoff levels for diagnosis of prediabetes by age group and race.

Interrelationship between Interpersonal Interaction Intensity and Health Self-Efficacy in People with Diabetes or Prediabetes on Online Diabetes Social Platforms: An In-Depth Survey in China.

Objective: The peer interaction-based online model has been influential in the recent development of diabetes management. This model "extends and innovates" the traditional mode of doctor-patient guidance, transforming it into a mode in which both doctor-patient guidance and patient-patient interaction coexist; this new mode has the added advantage of offering "extended continual intervention." This study contributes to research on extending diabetes management models by investigating how patients with diabetes or prediabetes interact in online health communities, focusing on the interrelationship between self-efficacy characteristics and online participation during patient-patient interactions. Methods: In this cross-sectional study, participants with diabetes of various severities completed an electronic questionnaire, which was formulated with a revised classical scale. The questionnaire was disseminated through diabetes online health communities. Its content covered the respondent's general condition, self-evaluation of their self-efficacy, and participation in online health communities, specifically with respect to factors such as the time spent in online information each day, the number of groups joined, and the extent of interaction in diabetes online health communities, etc. The main observation indicators were the participants' self-efficacy, their extent of online participation, and the characteristics of online health communities. Descriptive statistics, chi-square test, linear trend estimation, and ordinal logistic regression were used to explore the relationship between the three indicators. Results: The self-efficacy scores ( x ¯ ± s) were 51.9 ± 9.12, and 59.1% of interviewed participants had self-efficacy scores greater than the mean. Overall, most participants (96%) considered online diabetes social platforms to be helpful. Groups differed with respect to interaction mode, which indicated that people with high self-efficacy tend to employ various modes of interaction. Participants with high self-efficacy were also more likely to live in cities (p < 0.05) and be married (p < 0.05) and tended to spend more time paying attention to group information (p < 0.05), spend more time viewing group information (p < 0.05), and have a greater degree of interaction with group members (p < 0.05). Information sources for the different grades of participants was primarily obtained from social media. Conclusion: Among people with diabetes, the frequency and intensity of online interaction might positively affect self-efficacy and, by implication, diabetes self-management. Diabetics with high self-efficacy also tend to have positive online interaction and adopt different ways of interaction. In addition, the diabetes information sources of the respondents mainly come from social networks, most of the respondents think that online social networking sites have a positive impact on diabetes self-management, which shows that social network plays an important role in diabetes information source of diabetics. However, the design of online health communities has room for improvement, specifically with respect to the provision of information that patients require. As an interesting side note, among people with diabetes or prediabetes, those who lived in urban area and were married, those who paid more attention to group information, and those who actively participated in interactions tended to have relatively high self-efficacy. The results suggest that people with diabetes have higher-quality self-care when they engage in online health community interactions; such benefits cannot be obtained from treatment in a hospital. In general, enhanced self-efficacy in people with diabetes enables them to more readily acquire diabetes-related knowledge. Online interaction with diabetics, who has the same experience, can not only get more information, but also have a sense of identity and belonging, which enhances self-efficacy and further urges them to actively participate in online interaction. Therefore, online health communities are an important supplement to the clinical treatment of diabetes mellitus and clinicians can take advantage of the educational function of online diabetes groups in their provision of tailored diabetes interventions and take into account the factors that affect the self-efficacy of diabetics (including the frequency and intensity of online interaction, age, marital status, residential area, etc.), to provide tailored diabetes interventions for diabetics. Such a use of online diabetes groups can strengthen diabetes self-management.