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Objective: We examined national trends in diabetes-related complications (heart failure [HF], myocardial infarction [MI], stroke, end-stage renal disease [ESRD], nontraumatic lower-extremity amputation [NLEA], and hyperglycemic crisis) among U.S. adults with diagnosed diabetes during 2000-2020 by age-group, race and ethnicity, and sex. We also assessed trends in inequalities among those subgroups., Research Design and Methods: Hospitalization rates for diabetes-related complications among adults (≥18 years) were estimated using the 2000-2020 National (Nationwide) Inpatient Sample. The incidence of diabetes-related ESRD was estimated using the United States Renal Data System. The number of U.S. adults with diagnosed diabetes was estimated from the National Health Interview Survey. Annual percent change (APC) was estimated for assessment of trends., Results: After declines in the early 2000s, hospitalization rates increased for HF (2012-2020 APC 3.9%, P < 0.001), stroke (2009-2020 APC 2.8%, P < 0.001), and NLEA (2009-2020 APC 5.9%, P < 0.001), while ESRD incidence increased (2010-2020 APC 1.0%, P = 0.044). Hyperglycemic crisis increased from 2000 to 2020 (APC 2.2%, P < 0.001). MI hospitalizations declined during 2000-2008 (APC -6.0%, P < 0.001) and were flat thereafter. On average, age inequalities declined for hospitalizations for HF, MI, stroke, and ESRD incidence but increased for hyperglycemic crisis. Sex inequalities increased on average for hospitalizations for stroke and NLEA and for ESRD incidence. Racial and ethnic inequalities declined during 2012-2020 for ESRD incidence but increased for HF, stroke, and hyperglycemic crisis., Conclusions: There was a continued increase of several complications in the past decade. Age, sex, and racial and ethnic inequalities have worsened for some complications., (© 2024 by the American Diabetes Association.)

We analyzed 2021 and 2022 National Health Interview Survey data to describe the prevalence of past 12-month telemedicine use among US adults with no prediabetes or diabetes diagnosis, diagnosed prediabetes, and diagnosed diabetes. In 2021 and 2022, telemedicine use prevalence was 34.1% and 28.2% among adults without diagnosed diabetes or prediabetes, 47.6% and 37.6% among adults with prediabetes, and 52.8% and 39.4% among adults with diabetes, respectively. Differences in telemedicine use were identified by region, urbanicity, insurance status, and education among adults with prediabetes or diabetes. Findings suggest that telemedicine use can be improved among select populations with prediabetes or diabetes.

Background: The purpose of this study was to examine the association between racial and economic segregation and diabetes mortality among US counties from 2016 to 2020., Methods: We conducted a cross-sectional ecological study that combined county-level diabetes mortality data from the National Vital Statistics System and sociodemographic information drawn from the 2016-2020 American Community Survey (n=2380 counties in the USA). Racialized economic segregation was measured using the Index Concentration at the Extremes (ICE) for income (ICE income ), race (ICE race ) and combined income and race (ICE combined ). ICE measures were categorised into quintiles, Q1 representing the highest concentration and Q5 the lowest concentration of low-income, non-Hispanic (NH) black and low-income NH black households, respectively. Diabetes was ascertained as the underlying cause of death. County-level covariates included the percentage of people aged ≥65 years, metropolitan designation and population size. Multilevel Poisson regression was used to estimate the adjusted mean mortality rate and adjusted risk ratios (aRR) comparing Q1 and Q5., Results: Adjusted mean diabetes mortality rate was consistently greater in counties with higher concentrations of low-income (ICE income ) and low-income NH black households (ICE combined ). Compared with counties with the lowest concentration (Q1), counties with the highest concentration (Q5) of low-income (aRR 1.96; 95% CI 1.81 to 2.11 for ICE income ), NH black (aRR 1.32; 95% CI 1.18 to 1.47 for ICE race ) and low-income NH black households (aRR 1.70; 95% CI 1.56 to 1.84 for ICE combined ) had greater diabetes mortality., Conclusion: Racial and economic segregation is associated with diabetes mortality across US counties., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. No commercial re-use. See rights and permissions. Published by BMJ.)

Introduction: Previous research suggests that rural-urban disparities in diabetes mortality, hospitalization, and incidence rates may manifest differently across US regions. However, no studies have examined disparities in diabetes prevalence by metropolitan residence and region., Methods: We used data from the 2019-2022 National Health Interview Survey to compare diabetes status, socioeconomic characteristics, and weight status among adults in each census region (Northeast, Midwest, South, West) according to county metropolitan status of residence (large central metro, large fringe metro, small/medium metro, and nonmetro). We used χ 2 tests and logistic regression models to assess the association of metropolitan residence with diabetes prevalence in each region., Results: Diabetes prevalence ranged from 7.0% in large fringe metro counties in the Northeast to 14.8% in nonmetro counties in the South. Compared with adults from large central metro counties, those from small/medium metro counties had significantly higher odds of diabetes in the Midwest (age-, sex-, and race and ethnicity-adjusted odds ratio [OR] = 1.24; 95% CI, 1.06-1.45) and South (OR = 1.15; 95% CI, 1.02-1.30). Nonmetro residence was also associated with diabetes in the South (OR = 1.62 vs large central metro; 95% CI, 1.43-1.84). After further adjustment for socioeconomic and body weight status, small/medium metro associations with diabetes became nonsignificant, but nonmetro residence in the South remained significantly associated with diabetes (OR = 1.22; 95% CI, 1.07-1.39)., Conclusion: The association of metropolitan residence with diabetes prevalence differs across US regions. These findings can help to guide efforts in areas where diabetes prevention and care resources may be better directed.

Social determinants of health (SDOH) are the conditions in which people are born, grow, live, work, and age that influence health outcomes, and structural and systemic drivers of health (SSD) are the social, cultural, political, and economic contexts that create and shape SDOH. With the integration of constructs from previous examples, we propose an SSD model that broadens the contextual effect of these driving forces or factors rooted in the Centers for Disease Control and Prevention's SDOH framework. Our SSD model (1) presents systems and structures as multidimensional, (2) considers 10 dimensions as discrete and intersectional, and (3) acknowledges health-related effects over time at different life stages and across generations. We also present an application of this SSD model to the housing domain and describe how SSD affect SDOH through multiple mechanisms that may lead to unequal resources, opportunities, and consequences contributing to a disproportionate burden of disease, illness, and death in the US population. Our enhanced SDOH framework offers an innovative and promising model for multidimensional, collaborative public health approaches toward achieving health equity and eliminating health disparities., Competing Interests: Declaration of Conflicting InterestsThe authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

The objective of this study was to examine the state-level association between household energy insecurity and diabetes prevalence in 2020. We obtained 1) state-level data on household energy characteristics from the 2020 Residential Energy Consumption Survey and 2) diagnosed diabetes prevalence from the US Diabetes Surveillance System. We found states with a higher percentage of household energy insecurity had greater diabetes prevalence compared with states with lower percentages of energy insecurity. Interventions related to energy assistance may help reduce household energy insecurity, mitigate the risk of diabetes-related complications, and alleviate some of the burden of diabetes management during extreme temperatures.

Introduction: We investigated 2018 gestational diabetes mellitus (GDM) prevalence estimates in three surveillance systems (National Vital Statistics System, State Inpatient Database, and Pregnancy Risk Assessment Monitoring Survey)., Methods: We calculated GDM prevalence for jurisdictions represented in each system; a subset of data was analyzed for people 18-39 years old in 22 jurisdictions present in all three systems to observe dataset-specific demographics and GDM prevalence using comparable categories., Results: GDM prevalence estimates varied widely by data system and within the data subset despite comparable demographics., Discussion: Understanding the differences between GDM surveillance data systems can help researchers better identify people and places at higher risk of GDM., (© 2024. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)

Background: Household food insecurity has been linked to adverse health outcomes, but the pathways driving these associations are not well understood. The stress experienced by those in food-insecure households and having to prioritize between food and other essential needs could lead to physiologic dysregulations [i.e., allostatic load (AL)] and, as a result, adversely impact their health., Objective: To assess the association between household food security status and AL and differences by gender, race and ethnicity, and Supplemental Nutrition Assistance Program (SNAP) participation., Methods: We used data from 7640 United States adults in the 2015-2016 and 2017-March 2020 National Health and Nutrition Examination Survey to estimate means and prevalence ratios (PR) for AL scores (based on cardiovascular, metabolic, and immune biomarkers) associated with self-reported household food security status from multivariable linear and logistic regression models., Results: Adults in marginally food-secure [mean = 3.09, standard error (SE) = 0.10] and food-insecure households (mean = 3.05; SE = 0.08) had higher mean AL than those in food-secure households (mean = 2.70; SE = 0.05). Compared with adults in food-secure households in the same category, those more likely to have an elevated AL included: SNAP participants [PR = 1.12; 95% confidence interval (CI):  1.03, 1.22] and Hispanic women (PR = 1.20; 95% CI: 1.05, 1.37) in marginally food-secure households; and non-Hispanic Black women (PR = 1.14; 95% CI: 1.03, 1.26), men (PR = 1.13; 95% CI: 1.02, 1.26), and non-SNAP non-Hispanic White adults (PR = 1.22; 95% CI: 1.08, 1.39) in food-insecure households., Conclusions: AL may be one pathway by which household food insecurity affects health and may vary by gender, race and ethnicity, and SNAP participation., (Published by Elsevier Inc.)

Introduction: Racial and ethnic minority groups and individuals with limited educational attainment experience a disproportionate burden of diabetes. Prediabetes represents a high-risk state for developing type 2 diabetes, but most adults with prediabetes are unaware of having the condition. Uncovering whether racial, ethnic, or educational disparities also occur in the prediabetes stage could help inform strategies to support health equity in preventing type 2 diabetes and its complications. We examined the prevalence of prediabetes and prediabetes awareness, with corresponding prevalence ratios according to race, ethnicity, and educational attainment., Methods: This study was a pooled cross-sectional analysis of the National Health and Nutrition Examination Survey data from 2011 to March 2020. The final sample comprised 10,262 U.S. adults who self-reported being Asian, Black, Hispanic, or White. Prediabetes was defined using hemoglobin A1c and fasting plasma glucose values. Those with prediabetes were classified as "aware" or "unaware" based on survey responses. We calculated prevalence ratios (PR) to assess the relationship between race, ethnicity, and educational attainment with prediabetes and prediabetes awareness, controlling for sociodemographic, health and healthcare-related, and clinical characteristics., Results: In fully adjusted logistic regression models, Asian, Black, and Hispanic adults had a statistically significant higher risk of prediabetes than White adults (PR:1.26 [1.18,1.35], PR:1.17 [1.08,1.25], and PR:1.10 [1.02,1.19], respectively). Adults completing less than high school and high school had a significantly higher risk of prediabetes compared to those with a college degree (PR:1.14 [1.02,1.26] and PR:1.12 [1.01,1.23], respectively). We also found that Black and Hispanic adults had higher rates of prediabetes awareness in the fully adjusted model than White adults (PR:1.27 [1.07,1.50] and PR:1.33 [1.02,1.72], respectively). The rates of prediabetes awareness were consistently lower among those with less than a high school education relative to individuals who completed college (fully-adjusted model PR:0.66 [0.47,0.92])., Discussion: Disparities in prediabetes among racial and ethnic minority groups and adults with low educational attainment suggest challenges and opportunities for promoting health equity in high-risk groups and expanding awareness of prediabetes in the United States., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Formagini, Brooks, Roberts, Bullard, Zhang, Saelee and O’Brien.)

Objective: Preventive care services are important to prevent or delay complications associated with diabetes. We report trends in receipt of six American Diabetes Association-recommended preventive care services during 2008-2020., Research Design and Methods: We used 2008-2020 data from the cross-sectional Medical Expenditures Panel Survey to calculate the proportion of U.S. adults ≥18 years of age with diagnosed diabetes who reported receiving preventive care services, overall and by subpopulation (n = 25,616). We used joinpoint regression to identify trends during 2008-2019. The six services completed in the past year included at least one dental examination, dilated-eye examination, foot examination, and cholesterol test; at least two A1C tests, and an influenza vaccine., Results: From 2008 to 2020, proportions of U.S. adults with diabetes receiving any individual preventive care service ranged from 32.6% to 89.9%. From 2008 to 2019, overall trends in preventive services among these adults were flat except for an increase in influenza vaccination (average annual percent change: 2.6% [95% CI 1.1%, 4.2%]). Trend analysis of subgroups was heterogeneous: influenza vaccination and A1C testing showed improvements among several subgroups, whereas cholesterol testing (patients aged 45-64 years; less than a high school education; Medicaid insurance) and dental visits (uninsured) declined. In 2020, 8.2% (95% CI 4.5%, 11.9%) of those with diabetes received none of the recommended preventive care services., Conclusions: Other than influenza vaccination, we observed no improvement in preventive care service use among U.S. adults with diabetes. These data highlight services and specific subgroups that could be targeted to improve preventive care among adults with diabetes., (© 2023 by the American Diabetes Association.)

Aims: Understanding health behaviors of people with diabetes can inform strategies to reduce diabetes-related burdens., Methods: We used serial cross-sectional National Health and Nutrition Examination Surveys over 2007-2018 to characterize self-reported health behaviors among non-pregnant adults, with and without self-reported diabetes. We estimated weighted proportions meeting recommended health behaviors overall and by sociodemographic and glycemic levels., Results: During 2007-2010, proportions of adults with diabetes meeting recommendations were: 61.9 % for added sugar consumption (<10 % of total calories), 17.2 % for physical activity, 68.2 % for weight management, 14.4 % avoided alcohol, 57.5 % avoided tobacco, 34.1 % got adequate sleep, and 97.5 % saw a healthcare provider (compared with 19.2 %, 33.6 %, 68.8 %, 8.5 %, 44.2 %, 33.0 %, and 82.6 % respectively, among those without diabetes). During 2015-2018, adjusted analyses showed more adults with diabetes met sleep (+16.7 percentage-points[pp]; 95 % CI: 10.6,22.8) and physical activity goals (+8.3 pp; 95 % CI: 3.8,12.8), and fewer met added sugar recommendations (-8.8 pp; 95 % CI -14.7, -2.9). Meeting added sugar, physical activity, and weight management varied by age, education, and glycemic level, but not race and ethnicity., Conclusions: During 2007-2018, there was some improvement in health behaviors. Improving self-management may require targeted interventions for different segments, like age groups or glycemic levels, among those with diabetes., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023. Published by Elsevier B.V.)

We examined the prevalence of diagnosed depression, anxiety, and ADHD among youth by diabetes type, insurance type, and race/ethnicity. These mental disorders were more prevalent among youth with diabetes, particularly those with type 2 diabetes, with non-Hispanic White youth with Medicaid and diabetes having a higher prevalence than other races/ethnicities., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Published by Elsevier Ltd.)

Introduction: This study examined national trends in age, sex, racial and ethnic, and socioeconomic inequalities for diagnosed diabetes prevalence and incidence among U.S. adults from 2008 to 2021., Methods: Adults (aged ≥18 years) were from the National Health Interview Survey (2008-2021). The annual between-group variance (BGV) for sex, race, and ethnicity; and the slope index of inequality (SII) for age, education, and poverty-to-income ratio along with the average annual percentage change (AAPC) were estimated in 2023 to assess trends in inequalities over time in diabetes prevalence and incidence. For BGV and SII, a value of 0 represents no inequality, whereas a value further from 0 represents greater inequality., Results: On average over time, poverty-to-income ratio inequalities in diabetes prevalence worsened (SII= -8.24 in 2008 and -9.80 in 2021; AAPC for SII= -1.90%, p=0.003), whereas inequalities in incidence for age (SII=17.60 in 2008 and 8.85 in 2021; AAPC for SII= -6.47%, p<0.001), sex (BGV=0.09 in 2008, 2.05 in 2009, 1.24 in 2010, and 0.27 in 2021; AAPC for BGV= -12.34%, p=0.002), racial and ethnic (BGV=4.80 in 2008 and 2.17 in 2021; AAPC for BGV= -10.59%, p=0.010), and education (SII= -9.89 in 2008 and -2.20 in 2021; AAPC for SII=8.27%, p=0.001) groups improved., Conclusions: From 2008 to 2021, age, sex, racial and ethnic, and education inequalities in the incidence of diagnosed diabetes improved but persisted. Income-related diabetes prevalence inequalities worsened over time. To close these gaps, future research could focus on identifying the factors driving these trends, including the contribution of morbidity and mortality., (Published by Elsevier Inc.)

Objective: Race and ethnicity data disaggregated into detailed subgroups may reveal pronounced heterogeneity in diabetes risk factors. We therefore used disaggregated data to examine the prevalence of type 2 diabetes risk factors related to lifestyle behaviors and barriers to preventive care among adults in the U.S., Research Design and Methods: We conducted a pooled cross-sectional study of 3,437,640 adults aged ≥18 years in the U.S. without diagnosed diabetes from the Behavioral Risk Factor Surveillance System (2013-2021). For self-reported race and ethnicity, the following categories were included: Hispanic (Cuban, Mexican, Puerto Rican, Other Hispanic), non-Hispanic (NH) American Indian/Alaska Native, NH Asian (Chinese, Filipino, Indian, Japanese, Korean, Vietnamese, Other Asian), NH Black, NH Pacific Islander (Guamanian/Chamorro, Native Hawaiian, Samoan, Other Pacific Islander), NH White, NH Multiracial, NH Other. Risk factors included current smoking, hypertension, overweight or obesity, physical inactivity, being uninsured, not having a primary care doctor, health care cost concerns, and no physical exam in the past 12 months., Results: Prevalence of hypertension, lifestyle factors, and barriers to preventive care showed substantial heterogeneity among both aggregated, self-identified racial and ethnic groups and disaggregated subgroups. For example, the prevalence of overweight or obesity ranged from 50.8% (95% CI 49.1-52.5) among Chinese adults to 79.8% (73.5-84.9) among Samoan adults. Prevalence of being uninsured among Hispanic subgroups ranged from 11.4% (10.9-11.9) among Puerto Rican adults to 33.0% (32.5-33.5) among Mexican adults., Conclusions: These findings underscore the importance of using disaggregated race and ethnicity data to accurately characterize disparities in type 2 diabetes risk factors and access to care., (© 2023 by the American Diabetes Association.)

Introduction: In 2019 among US adults, 1 in 9 had diagnosed diabetes and 1 in 5 had diagnosed depression. Since these conditions frequently coexist, compounding their health and economic burden, we examined state-specific trends in depression prevalence among US adults with and without diagnosed diabetes., Methods: We used data from the 2011 through 2019 Behavioral Risk Factor Surveillance System to evaluate self-reported diabetes and depression prevalence. Joinpoint regression estimated state-level trends in depression prevalence by diabetes status., Results: In 2019, the overall prevalence of depression in US adults with and without diabetes was 29.2% (95% CI, 27.8%-30.6%) and 17.9% (95% CI, 17.6%-18.1%), respectively. From 2011 to 2019, the depression prevalence was relatively stable for adults with diabetes (28.6% versus 29.2%) but increased for those without diabetes from 15.5% to 17.9% (average annual percent change [APC] over the 9-year period = 1.6%, P = .015). The prevalence of depression was consistently more than 10 percentage points higher among adults with diabetes than those without diabetes. The APC showed a significant increase in some states (Illinois: 5.9%, Kansas: 3.5%) and a significant decrease in others (Arizona: -5.1%, Florida: -4.0%, Colorado: -3.4%, Washington: -0.9%). In 2019, although it varied by state, the depression prevalence among adults with diabetes was highest in states with a higher diabetes burden such as Kentucky (47.9%), West Virginia (47.0%), and Maine (41.5%)., Conclusion: US adults with diabetes are more likely to report prevalent depression compared with adults without diabetes. These findings highlight the importance of screening and monitoring for depression as a potential complication among adults with diabetes.

Introduction: In 2021, the U.S. Preventive Services Task Force (USPSTF) recommended prediabetes and diabetes screening for asymptomatic adults aged 35-70 years with overweight/obesity, lowering the age from 40 years in its 2015 recommendation. The USPSTF suggested considering earlier screening in racial and ethnic groups with high diabetes risk at younger ages or lower BMI. This study examined the clinical performance of these USPSTF screening recommendations as well as alternative age and BMI cutoffs in the U.S. adult population overall, and separately by race and ethnicity., Methods: Nationally representative data were collected from 3,243 nonpregnant adults without diagnosed diabetes in January 2017-March 2020 and analyzed from 2021 to 2022. Screening eligibility was based on age and measured BMI. Collectively, prediabetes and undiagnosed diabetes were defined by fasting plasma glucose ≥100 mg/dL or hemoglobin A 1c ≥5.7%. The sensitivity, specificity, and predictive values of alternate screening criteria were examined overall, and by race and ethnicity., Results: The 2021 criteria exhibited marginally higher sensitivity (58.6%, 95% CI=55.5, 61.6 vs 52.9%, 95% CI=49.7, 56.0) and lower specificity (69.3%, 95% CI=65.7, 72.2 vs 76.4%, 95% CI=73.3, 79.2) than the 2015 criteria overall, and within each racial and ethnic group. Screening at lower age and BMI thresholds resulted in even greater sensitivity and lower specificity, especially among Hispanic, non-Hispanic Black, and Asian adults. Screening all adults aged 35-70 years regardless of BMI yielded the most equitable performance across all racial and ethnic groups., Conclusions: The 2021 USPSTF screening criteria will identify more adults with prediabetes and diabetes in all racial and ethnic groups than the 2015 criteria. Screening all adults aged 35-70 years exhibited even higher sensitivity and performed most similarly by race and ethnicity, which may further improve early detection of prediabetes and diabetes in diverse populations., (Copyright © 2023 American Journal of Preventive Medicine. All rights reserved.)

Aims: The overall prevalence of diabetes has increased over the past two decades in the United States, disproportionately affecting low-income populations. We aimed to examine the trends in income-related inequalities in diabetes prevalence and to identify the contributions of determining factors., Methods: We estimated income-related inequalities in diagnosed diabetes during 2001-2018 among US adults aged 18 years or older using data from the National Health Interview Survey (NHIS). The concentration index was used to measure income-related inequalities in diabetes and was decomposed into contributing factors. We then examined temporal changes in diabetes inequality and contributors to those changes over time., Results: Results showed that income-related inequalities in diabetes, unfavorable to low-income groups, persisted throughout the study period. The income-related inequalities in diabetes decreased during 2001-2011 and then increased during 2011-2018. Decomposition analysis revealed that income, obesity, physical activity levels, and race/ethnicity were important contributors to inequalities in diabetes at almost all time points. Moreover, changes regarding age and income were identified as the main factors explaining changes in diabetes inequalities over time., Conclusions: Diabetes was more prevalent in low-income populations. Our study contributes to understanding income-related diabetes inequalities and could help facilitate program development to prevent type 2 diabetes and address modifiable factors to reduce diabetes inequalities., Competing Interests: The authors have declared that no competing interests exist., (Copyright: This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.)

Aim: To examine changes in racial and ethnic disparities in glucose-lowering drugs (GLD) use and glycated haemoglobin A1c in US adults with diabetes from 2005 to 2018., Methods: We conducted pooled cross-sectional analysis using data from the 2005-2018 Medical Expenditure Panel Surveys, and the 2005-2018 National Health and Nutrition Examination Survey. Individuals ≥18 years with diabetes were included. Racial and ethnic disparities were measured in (a) newer non-insulin GLD use; (b) insulin analogue use; (c) non-insulin GLDs adherence; (d) insulin adherence; and (e) glucose management, along with (f) the proportion of the disparities explained by potential contributing factors., Results: From 2005 to 2018, racial and ethnic disparities persisted in newer GLD use, non-insulin GLDs adherence, insulin analogue use and glucose management. In 2018, compared with non-Hispanic white adults, non-Hispanic black, Hispanic and other race/ethnicity groups had lower rates of using newer GLDs (adjusted risk ratio: 0.44, 0.52, 0.64, respectively; p < .05 for all) and insulin analogues (adjusted risk ratio: 0.93, 0.89, 0.95, respectively; p < .05 for all except other groups), lower non-insulin GLD adherence (proportion of days covered: -4.5%, -5.6%, -4.3%, respectively; p < .05 for all), higher glycated haemoglobin A1c (0.29%, 0.32%, 0.02%, respectively; p < .05 for all except other group), and similar insulin adherences. Socioeconomic and health status were the main contributors to these disparities., Conclusions: Our findings provide evidence of racial and ethnic disparities in newer GLD use and quality of care in glucose management. Our study results can inform decision-makers of the status of racial and ethnic disparities and identify ways to reduce these disparities., (© 2022 John Wiley & Sons Ltd.)

Introduction: A healthy diet is recommended to support diabetes management, including HbA1c, blood pressure, and cholesterol (ABC) control, but food insecurity is a barrier to consuming a healthy diet. We determined the prevalence of food insecurity and diet quality among US adults with diabetes and the associations with ABC management., Research Design and Methods: Cross-sectional analyses were conducted among 2075 adults ≥20 years with diagnosed diabetes who participated in the 2013-2018 National Health and Nutrition Examination Surveys. Food insecurity was assessed using a standard questionnaire and diet quality was assessed using quartiles of the 2015 Healthy Eating Index. Adjusted ORs (aOR, 95% CI) were calculated from logistic regression models to determine the association between household food insecurity/diet quality and the ABCs while controlling for sociodemographic characteristics, healthcare utilization, smoking, medication for diabetes, blood pressure, or cholesterol, and body mass index., Results: Overall, 17.6% of adults had food insecurity/low diet quality; 14.2% had food insecurity/high diet quality; 33.1% had food security/low diet quality; and 35.2% had food security/high diet quality. Compared with adults with food security/high diet quality, those with food insecurity/low diet quality were significantly more likely to have HbA1c ≥7.0% (aOR=1.85, 95% CI 1.23 to 2.80) and HbA1c ≥8.0% (aOR=1.79, 95% CI 1.04 to 3.08); food insecurity/high diet quality was significantly associated with elevated HbA1c; and food security/low diet quality with elevated A1c., Conclusions: Food insecurity, regardless of diet quality, was significantly associated with elevated A1c. For people with food insecurity, providing resources to reduce food insecurity could strengthen the overall approach to optimal diabetes management., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Aims: We examined changes in the prevalence of elevated depressive symptoms among US adults with diabetes, prediabetes, and normal glycemic status during 2005-2016., Methods: We analyzed data from 32,676 adults in the 2005-2016 National Health and Nutrition Examination Surveys. We defined diabetes as self-reporting a physician diagnosis of diabetes or A1C ≥ 6.5% [48 mmol/mol], and prediabetes as A1C 5.7-6.4% [39-46 mmol/mol]. We used the 9-item Patient Health Questionnaire (PHQ-9) score ≥ 10 or antidepressant use to define 'clinically significant depressive symptoms' (CSDS) and PHQ-9 score ≥ 12 as 'Major Depressive Disorder' (MDD). We calculated prevalence age-standardized to the 2000 US census and used logistic-regression to compute adjusted odds of CSDS and MDD for 2005-2008, 2009-2012, and 2015-2016. We analyzed the prevalence of A1C ≥ 9.0% [75 mmol/mol], systolic blood pressure ≥ 140 mmHg and/or diastolic blood pressure ≥ 90 mmHg, non-HDL cholesterol ≥ 130 mg/dL, and current smoking among adults with diagnosed diabetes by depressive status., Results: The prevalence of CSDS increased among individuals with normal glycemic status from 15.0% (13.5-16.2) to 17.3% (16.0-18.7) (p = 0.03) over 2005-2016. The prevalence of CSDS and MDD remained stable among adults with prediabetes (~ 16% and 1%, respectively) and diabetes (~ 26% and ~3%). After controlling for glycemic, sociodemographic, economic, and self-rated health variables, we found 2-fold greater odds of CSDS among unemployed individuals and 3-fold greater odds among those with fair/poor self-rated health across all survey periods. Cardiometabolic care targets for adults with diagnosed diabetes were stable from 2005 to 2016 and similar across depressive status., Conclusions: One-fourth of adults with diabetes have comorbid CSDS; this prevalence remained stable over 2005-2016 with no change in diabetes care. At the population level, depression does not appear to impact diabetes care, but further research could explore subgroups that may be more vulnerable and could benefit from integrated care that addresses both conditions., (Copyright © 2022. Published by Elsevier Ltd.)

Aims: To report the national proportions and trends of adult hospitalizations with diabetes in the United States during 2000-2018., Methods: We used the 2000-2018 National Inpatient Sample to identify hospital discharges with any listed and primary diagnoses for diabetes, based on International Classification of Diseases, 9th revision, Clinical Modification (ICD-9-CM) and ICD-10-CM codes. We calculated proportions and trends of adult hospitalizations with diabetes, overall and by subpopulations. We used the Nationwide Readmissions Database to assess calendar-year and 30-day readmission rates., Results: From 2000 to 2018, the proportion of hospitalizations among adults ≥18 years increased from 17.1% to 27.3% (average annual percentage change [AAPC] 2.5%; P < 0.001) for any listed diabetes codes and from 1.5% to 2.1% (AAPC 2.2%; P < 0.001) for primary diagnosis of diabetes. Men, non-Hispanic Black patients, and those from poorer zip codes had higher proportions of hospitalizations with diabetes codes., Conclusion: In recent years, approximately one-quarter of adult hospitalizations in the United States had a listed diabetes code, increasing about 2.5% per year from 2000 to 2018. These data are important for benchmarking purposes, especially due to disruptions in health care utilization from the COVID-19 pandemic., (Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.)

Importance: Improvements in control of factors associated with diabetes risk in the US have stalled and remain suboptimal. The benefit of continually improving goal achievement has not been evaluated to date., Objective: To quantify potential gains in life expectancy (LE) among people with type 2 diabetes (T2D) associated with lowering glycated hemoglobin (HbA1c), systolic blood pressure (SBP), low-density lipoprotein cholesterol (LDL-C), and body mass index (BMI) toward optimal levels., Design, Setting, and Participants: In this decision analytical model, the Building, Relating, Assessing, and Validating Outcomes (BRAVO) diabetes microsimulation model was calibrated to a nationally representative sample of adults with T2D from the National Health and Nutrition Examination Survey (2015-2016) using their linked short-term mortality data from the National Death Index. The model was then used to conduct the simulation experiment on the study population over a lifetime. Data were analyzed from January to October 2021., Exposure: The study population was grouped into quartiles on the basis of levels of HbA1c, SBP, LDL-C, and BMI. LE gains associated with achieving better control were estimated by moving people with T2D from the current quartile of each biomarker to the lower quartiles., Main Outcomes and Measures: Life expectancy., Results: Among 421 individuals, 194 (46%) were women, and the mean (SD) age was 65.6 (8.9) years. Compared with a BMI of 41.4 (mean of the fourth quartile), lower BMIs of 24.3 (first), 28.6 (second), and 33.0 (third) were associated with 3.9, 2.9, and 2.0 additional life-years, respectively, in people with T2D. Compared with an SBP of 160.4 mm Hg (fourth), lower SBP levels of 114.1 mm Hg (first), 128.2 mm Hg (second), and 139.1 mm Hg (third) were associated with 1.9, 1.5, and 1.1 years gained in LE in people with T2D, respectively. A lower LDL-C level of 59 mg/dL (first), 84.0 mg/dL (second), and 107.0 mg/dL (third) were associated with 0.9, 0.7, and 0.5 years gain in LE, compared with LDL-C of 146.2 mg/dL (fourth). Reducing HbA1c from 9.9% (fourth) to 7.7% (third) was associated with 3.4 years gain in LE. However, a further reduction to 6.8% (second) was associated with only a mean of 0.5 years gain in LE, and from 6.8% to 5.9% (first) was not associated with LE benefit. Overall, reducing HbA1c from the fourth quartile to the first is associated with an LE gain of 3.8 years., Conclusions and Relevance: These findings can be used by clinicians to motivate patients in achieving the recommended treatment goals and to help prioritize interventions and programs to improve diabetes care in the US.

Low socioeconomic position (SEP) across the lifecourse is associated with Type 2 diabetes (T2DM). We examined whether these economic disparities differ by race and sex. We included 5448 African American (AA) and white participants aged ≥45 years from the national (United States) REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort without T2DM at baseline (2003-07). Incident T2DM was defined by fasting glucose ≥126 mg/dL, random glucose ≥200 mg/dL, or using T2DM medications at follow-up (2013-16). Derived SEP scores in childhood (CSEP) and adulthood (ASEP) were used to calculate a cumulative (CumSEP) score. Social mobility was defined as change in SEP. We fitted race-stratified logistic regression models to estimate the association between each lifecourse SEP indicator and T2DM, adjusting for covariates; additionally, we tested SEP-sex interactions. Over a median of 9.0 (range 7-14) years of follow-up, T2DM incidence was 167.1 per 1000 persons among AA and 89.9 per 1000 persons among white participants. Low CSEP was associated with T2DM incidence among AA (OR = 1.61; 95%CI 1.05-2.46) but not white (1.06; 0.74-2.33) participants; this was attenuated after adjustment for ASEP. In contrast, low CumSEP was associated with T2DM incidence for both racial groups. T2DM risk was similar for stable low SEP and increased for downward mobility when compared with stable high SEP in both groups, whereas upward mobility increased T2DM risk among AAs only. No differences by sex were observed. Among AAs, low CSEP was not independently associated with T2DM, but CSEP may shape later-life experiences and health risks., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Diabetes affects approximately one in 10 persons in the United States † and is a risk factor for severe COVID-19 (1), especially when a patient's diabetes is not well managed (2). The extent to which the COVID-19 pandemic has affected diabetes care and management, and whether this varies across age groups, is currently unknown. To evaluate access to and use of health care, as well as experiences, attitudes, and behaviors about COVID-19 prevention and vaccination, a nonprobability, Internet-based survey was administered to 5,261 U.S. adults aged ≥18 years during February-March 2021. Among respondents, 760 (14%) adults who reported having diabetes currently managed with medication were included in the analysis. Younger adults (aged 18-29 years) with diabetes were more likely to report having missed medical care during the past 3 months (87%; 79) than were those aged 30-59 years (63%; 372) or ≥60 years (26%; 309) (p<0.001). Overall, 44% of younger adults reported difficulty accessing diabetes medications. Younger adults with diabetes also reported lower intention to receive COVID-19 vaccination (66%) compared with adults aged ≥60 years § (85%; p = 0.001). During the COVID-19 pandemic, efforts to enhance access to diabetes care for adults with diabetes and deliver public health messages emphasizing the importance of diabetes management and COVID-19 prevention, including vaccination, are warranted, especially in younger adults., Competing Interests: All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. Matthew D. Weaver reports institutional support to Monash University from WHOOP, Inc., institutional grant support from the National Heart, Lung, and Blood Institute, National Institutes of Health (NIH), the National Institute of Occupational Safety and Health (NIOSH), and consulting fees from the National Sleep Foundation and the University of Pittsburgh, outside the current work. Shantha M.W. Rajaratnam reports institutional grant support to Monash University from WHOOP, Inc. and the Cooperative Research Centre for Alertness, Safety, and Productivity; and institutional consultancy fees from Teva Pharma, Australia, Circadian Therapeutics, Vanda Pharmaceuticals, BHP Billiton, and Herbert Smith Freehills; and honoraria from Cooperative Research Centre for Alertness, Safety, and Productivity. Mark E. Howard reports an institutional grant to Monash University from WHOOP, Inc. Mark É. Czeisler reports institutional grants paid to Monash University from WHOOP, Inc. and the CDC Foundation, with funding provided by BNY Mellon, and support from the Australian-American Fulbright Foundation, with funding provided by The Kinghorn Foundation, and consulting fees from Vanda Pharmaceuticals (September 2019–January 2020). Charles A. Czeisler reports institutional support from WHOOP, Inc., and serves as the incumbent of an endowed professorship provided to Harvard Medical School by Cephalon, Inc. in 2004; grant support from Delta Airlines, Jazz Pharmaceuticals PLC, Inc., Philips Respironics, Inc., Puget Sound Pilots, Regeneron Pharmaceuticals and Sanofi SA, ResMed, Teva Pharmaceuticals Industries, Ltd, and Vanda Pharmaceuticals; royalty payments from Philips Respironics, Inc. for the Actiwatch-2 and Actiwatch-spectrum devices; personal consultancy fees from Physician’s Seal, State of Washington Board of Pilotage Commissioners, With Deep, and Vanda Pharmaceuticals; lecture fees from Teva Pharma Australia and Tencent Holdings, Ltd, and payment as Chair for the Sleep Timing and Variability Consensus Panel, National Sleep Foundation; payment for expert testimony from Aegis Chemical Solutions, Amtrak, Casper Sleep, Inc., C&J Energy Services, Enterprise Rent-A-Car, Dallas Police Association, FedEx, PAR Electrical Contractors, Inc., Puget Sound Pilots, Schlumberger Technology Corp., Union Pacific Railroad, United Parcel Service and Vanda Pharmaceuticals; travel support from Tencent Holdings, Ltd., Aspen Brain Institute, Bloomage International Investment Group, Inc., Stanley Ho Medical Development Foundation, German National Academy of Sciences, the National Safety Council, and the National Sleep Foundation; member of the following advisory boards: AARP, Institute of Digital Media and Child Development, Klarman Family Foundation, and U.K. Biotechnology and Biological Sciences Research Council; equity interest in Vanda Pharmaceuticals; and institutional educational gifts from Johnson & Johnson, Harmony Biosciences, LLC, and Philips Respironics, Inc., ResMed, and Vanda Pharmaceuticals to Brigham and Women’s Hospital. No other potential conflicts of interest were disclosed.

Importance: Gestational diabetes is associated with adverse maternal and offspring outcomes., Objective: To determine whether rates of gestational diabetes among individuals at first live birth changed from 2011 to 2019 and how these rates differ by race and ethnicity in the US., Design, Setting, and Participants: Serial cross-sectional analysis using National Center for Health Statistics data for 12 610 235 individuals aged 15 to 44 years with singleton first live births from 2011 to 2019 in the US., Exposures: Gestational diabetes data stratified by the following race and ethnicity groups: Hispanic/Latina (including Central and South American, Cuban, Mexican, and Puerto Rican); non-Hispanic Asian/Pacific Islander (including Asian Indian, Chinese, Filipina, Japanese, Korean, and Vietnamese); non-Hispanic Black; and non-Hispanic White., Main Outcomes and Measures: The primary outcomes were age-standardized rates of gestational diabetes (per 1000 live births) and respective mean annual percent change and rate ratios (RRs) of gestational diabetes in non-Hispanic Asian/Pacific Islander (overall and in subgroups), non-Hispanic Black, and Hispanic/Latina (overall and in subgroups) individuals relative to non-Hispanic White individuals (referent group)., Results: Among the 12 610 235 included individuals (mean [SD] age, 26.3 [5.8] years), the overall age-standardized gestational diabetes rate significantly increased from 47.6 (95% CI, 47.1-48.0) to 63.5 (95% CI, 63.1-64.0) per 1000 live births from 2011 to 2019, a mean annual percent change of 3.7% (95% CI, 2.8%-4.6%) per year. Of the 12 610 235 participants, 21% were Hispanic/Latina (2019 gestational diabetes rate, 66.6 [95% CI, 65.6-67.7]; RR, 1.15 [95% CI, 1.13-1.18]), 8% were non-Hispanic Asian/Pacific Islander (2019 gestational diabetes rate, 102.7 [95% CI, 100.7-104.7]; RR, 1.78 [95% CI, 1.74-1.82]), 14% were non-Hispanic Black (2019 gestational diabetes rate, 55.7 [95% CI, 54.5-57.0]; RR, 0.97 [95% CI, 0.94-0.99]), and 56% were non-Hispanic White (2019 gestational diabetes rate, 57.7 [95% CI, 57.2-58.3]; referent group). Gestational diabetes rates were highest in Asian Indian participants (2019 gestational diabetes rate, 129.1 [95% CI, 100.7-104.7]; RR, 2.24 [95% CI, 2.15-2.33]). Among Hispanic/Latina participants, gestational diabetes rates were highest among Puerto Rican individuals (2019 gestational diabetes rate, 75.8 [95% CI, 71.8-79.9]; RR, 1.31 [95% CI, 1.24-1.39]). Gestational diabetes rates increased among all race and ethnicity subgroups and across all age groups., Conclusions and Relevance: Among individuals with a singleton first live birth in the US from 2011 to 2019, rates of gestational diabetes increased across all racial and ethnic subgroups. Differences in absolute gestational diabetes rates were observed across race and ethnicity subgroups.

Objectives: By race/ethnicity and socioeconomic position (SEP), to estimate and examine changes over time in (1) mortality rate, (2) mortality disparities and (3) excess mortality risk attributed to diagnosed diabetes (DM)., Design: Population-based cohort study using National Health Interview Survey data linked to mortality status from the National Death Index from survey year up to 31 December 2015 with 5 years person-time., Participants: US adults aged ≥25 years with (31 586) and without (332 451) DM., Primary Outcome: Age-adjusted all-cause mortality rate for US adults with DM in each subgroup of SEP (education attainment and income-to-poverty ratio (IPR)) and time (1997-2001, 2002-2006 and 2007-2011)., Results: Among adults with DM, mortality rates fell from 23.5/1000 person-years (p-y) in 1997-2001 to 18.1/1000 p-y in 2007-2011 with changes of -5.2/1000 p-y for non-Hispanic whites; -5.2/1000 p-y for non-Hispanic blacks; and -5.4/1000 p-y for Hispanics. Rates significantly declined within SEP groups, measured as education attainment (high school=-4.8/1000 p-y) and IPR group (poor=-7.9/1000 p-y; middle income=-4.7/1000 p-y; and high income=-6.2/1000 p-y; but not for near poor). For adults with DM, statistically significant all-cause mortality disparity showed greater mortality rates for the lowest than the highest SEP level (education attainment and IPR) in each time period. However, patterns in mortality trends and disparity varied by race/ethnicity. The excess mortality risk attributed to DM significantly decreased from 1997-2001 to 2007-2011, within SEP levels, and among Hispanics and non-Hispanic whites; but no statistically significant changes among non-Hispanic blacks., Conclusions: There were substantial improvements in all-cause mortality among US adults. However, we observed SEP disparities in mortality across race/ethnic groups or for adults with and without DM despite targeted efforts to improve access and quality of care among disproportionately affected populations., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Introduction: Defining type of diabetes using survey data is challenging, although important, for determining national estimates of diabetes. The purpose of this study was to compare the percentage and characteristics of US adults classified as having type 1 diabetes as defined by several algorithms., Research Design and Methods: This study included 6331 respondents aged ≥18 years who reported a physician diagnosis of diabetes in the 2016-2017 National Health Interview Survey. Seven algorithms classified type 1 diabetes using various combinations of self-reported diabetes type, age of diagnosis, current and continuous insulin use, and use of oral hypoglycemics., Results: The percentage of type 1 diabetes among those with diabetes ranged from 3.4% for those defined by age of diagnosis <30 years and continuous insulin use (algorithm 2) to 10.2% for those defined only by continuous insulin use (algorithm 1) and 10.4% for those defined as self-report of type 1 (supplementary algorithm 6). Among those defined by age of diagnosis <30 years and continuous insulin use (algorithm 2), by self-reported type 1 diabetes and continuous insulin use (algorithm 4), and by self-reported type 1 diabetes and current insulin use (algorithm 5), mean body mass index (BMI) (28.6, 27.4, and 28.5 kg/m 2 , respectively) and percentage using oral hypoglycemics (16.1%, 11.1%, and 19.0%, respectively) were lower than for all other algorithms assessed. Among those defined by continuous insulin use alone (algorithm 1), the estimates for mean age and age of diagnosis (54.3 and 30.9 years, respectively) and BMI (30.9 kg/m 2 ) were higher than for other algorithms., Conclusions: Estimates of type 1 diabetes using commonly used algorithms in survey data result in varying degrees of prevalence, characteristic distributions, and potential misclassification., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

In this study, we examined the associations between the consumption of foods derived from crops subsidized under the 2008 United States (US) Farm Bill and cardiometabolic risk factors and whether the magnitude of these associations has changed since the 2002 US Farm Bill. Four federal databases were used to estimate daily consumption of the top seven subsidized commodities (corn, soybeans, wheat, rice, sorghum, dairy, and livestock) and to calculate a subsidy score (0-1 scale) for Americans' daily dietary intake during 2009-2014, with a higher score indicative of a higher proportion of the diet derived from subsidized commodities. The cardiometabolic risk factors included obesity, abdominal adiposity, hypertension, dyslipidemia, and dysglycemia. Linear and logistic regression models were adjusted for age, sex, race/ethnicity, the poverty-income ratio, the smoking status, educational attainment, physical activity, and daily calorie intake. During 2009-2014, adults with the highest subsidy score had higher probabilities of obesity, abdominal adiposity, and dysglycemia compared to the lowest subsidy score. After the 2002 Farm Bill (measured using data from 2001-2006), the subsidy score decreased from 56% to 50% and associations between consuming a highly-subsidized diet and dysglycemia did not change ( p = 0.54), whereas associations with obesity ( p = 0.004) and abdominal adiposity ( p = 0.002) significantly attenuated by more than half. The proportion of calories derived from subsidized food commodities continues to be associated with adverse cardiometabolic risk factors, though the relationship with obesity and abdominal adiposity has weakened in recent years.

Objectives: Surveys for U.S. diabetes surveillance do not reliably distinguish between type 1 and type 2 diabetes, potentially obscuring trends in type 1 among adults. To validate survey-based algorithms for distinguishing diabetes type, we linked survey data collected from adult patients with diabetes to a gold standard diabetes type., Research Design and Methods: We collected data through a telephone survey of 771 adults with diabetes receiving care in a large healthcare system in North Carolina. We tested 34 survey classification algorithms utilizing information on respondents' report of physician-diagnosed diabetes type, age at onset, diabetes drug use, and body mass index. Algorithms were evaluated by calculating type 1 and type 2 sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) relative to a gold standard diagnosis of diabetes type determined through analysis of EHR data and endocrinologist review of selected cases., Results: Algorithms based on self-reported type outperformed those based solely on other data elements. The top-performing algorithm classified as type 1 all respondents who reported type 1 and were prescribed insulin, as "other diabetes type" all respondents who reported "other," and as type 2 the remaining respondents (type 1 sensitivity 91.6%, type 1 specificity 98.9%, type 1 PPV 82.5%, type 1 NPV 99.5%). This algorithm performed well in most demographic subpopulations., Conclusions: The major federal health surveys should consider including self-reported diabetes type if they do not already, as the gains in the accuracy of typing are substantial compared to classifications based on other data elements. This study provides much-needed guidance on the accuracy of survey-based diabetes typing algorithms., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2020 The Authors.)

Rationale & Objective: Dialysis-requiring acute kidney injury (AKI-D) has increased substantially in the United States. We examined trends in and comorbid conditions associated with hospitalizations and in-hospital mortality in the setting of AKI-D among people with versus without diabetes., Study Design: Cross-sectional study., Setting & Participants: Nationally representative data from the National Inpatient Sample and National Health Interview Survey were used to generate 16 cross-sectional samples of US adults (aged ≥18 years) between 2000 and 2015., Exposure: Diabetes, defined using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis codes., Outcome: AKI-D, defined using ICD-9-CM diagnosis and procedure codes., Analytical Approach: Annual age-standardized rates of AKI-D and AKI-D mortality were calculated for adults with and without diabetes, by age and sex. Data were weighted to be representative of the US noninstitutionalized population. Trends were assessed using join point regression with annual percent change (Δ/y) reported., Results: In adults with diabetes, AKI-D increased between 2000 and 2015 (from 26.4 to 41.1 per 100,000 persons; Δ/y, 3.3%; P < 0.001), with relative increases greater in younger versus older adults. In adults without diabetes, AKI-D increased between 2000 and 2009 (from 4.8 to 8.7; Δ/y, 6.5%; P < 0.001) and then plateaued. AKI-D mortality significantly declined in people with and without diabetes. In adults with and without diabetes, the proportion of AKI-D hospitalizations with liver, rheumatic, and kidney disease comorbid conditions increased between 2000 and 2015, while the proportion of most cardiovascular comorbid conditions decreased., Limitations: Lack of laboratory data to corroborate AKI diagnosis; National Inpatient Sample data are hospital-level rather than person-level data; no data for type of diabetes; residual unmeasured confounding., Conclusions: Hospitalization rates for AKI-D have increased considerably while mortality has decreased in adults with and without diabetes. Hospitalization rates for AKI-D remain substantially higher in adults with diabetes. Greater AKI risk-factor mitigation is needed, especially in young adults with diabetes., (Copyright © 2019 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.)

Aims/hypothesis: Cancer-related death is higher among people with vs without diabetes. However, it is not known if this excess risk has changed over time or what types of cancer may be driving these changes., Methods: To estimate rates of site-specific cancer mortality in adults with vs without self-reported diagnosed diabetes, we used data from adults aged ≥18 years at the time of the interview who participated in the 1985-2012 National Health Interview Survey. Participants' data were linked to the National Death Index by the National Center for Health Statistics to determine vital status and cause of death through to the end of 2015. Cancer deaths were classified according to underlying cause of death. Death rates for five time periods (1988-1994, 1995-1999, 2000-2004, 2005-2009, 2010-2015) were estimated using discrete Poisson regression models adjusted for age, sex and race/ethnicity with p for linear trend reported (p trend ). Site-specific cancer mortality rates were stratified by diabetes status and period, and total cancer mortality rates were additionally stratified by sex, race/ethnicity, education and BMI status., Results: Among adults with diabetes, age-adjusted cancer mortality rates (per 10,000 person-years) declined 25.5% from 39.1 (95% CI 30.1, 50.8) in 1988-1994 to 29.7 (26.6, 33.1) in 2010-2015, p trend  < 0.001. Among adults without diabetes, rates declined 25.2% from 30.9 (28.6, 33.4) in 1988-1994 to 23.2 (22.1, 24.2) in 2010-2015, p trend  < 0.01. Adults with diabetes remained approximately 30% more likely to die from cancer than people without diabetes, and this excess risk did not improve over time. In adults with diabetes, cancer mortality rates did not decline in some population subgroups (including black people, people with lower levels of education and obese people), and the excess risk increased for obese adults with vs without diabetes. Declines in total cancer mortality rates in adults with diabetes appear to be driven by large relative declines in cancers of the pancreas (55%) and breast (65%), while for lung cancer, declines are modest (7%)., Conclusions/interpretation: Declines in cancer mortality rates were observed in adults with and without diabetes. However, adults with diabetes continue to be more likely to die from cancer than people without diabetes. This study highlights the continued need for greater cancer risk-factor mitigation, especially in adults with diabetes.

People with type 2 diabetes often experience two common mental health conditions: depression and diabetes distress. Both increase a patient's risk for mortality, poor disease management, diabetes-related complications, and poor quality of life. The American Diabetes Association and the U.S. Preventive Services Task Force recommend routine evaluations for these conditions in adults for optimal disease management and prevention of life-threatening complications. However, barriers exist within primary care and specialty settings that make screening for depression and diabetes distress challenging. Depression and diabetes distress influence diabetes self-care and diabetes control and barriers in clinical care practice that can hinder detection and management of psychosocial issues in diabetes care. This paper highlights opportunities to increase mental health screenings and provides strategies to help providers address depression and diabetes distress in patients with type 2 diabetes.

Diabetes during pregnancy increases the risk for adverse maternal and infant health outcomes. Type 1 or type 2 diabetes diagnosed before pregnancy (preexisting diabetes) increases infants' risk for congenital anomalies, stillbirth, and being large for gestational age (1). Diabetes that develops and is diagnosed during the second half of pregnancy (gestational diabetes) increases infants' risk for being large for gestational age (1) and might increase the risk for childhood obesity (2); for mothers, gestational diabetes increases the risk for future type 2 diabetes (3). In the United States, prevalence of both preexisting and gestational diabetes increased from 2000 to 2010 (4,5). Recent state-specific trends have not been reported; therefore, CDC analyzed 2012-2016 National Vital Statistics System (NVSS) birth data. In 2016, the crude national prevalence of preexisting diabetes among women with live births was 0.9%, and prevalence of gestational diabetes was 6.0%. Among 40 jurisdictions with continuously available data from 2012 through 2016, the age- and race/ethnicity-standardized prevalence of preexisting diabetes was stable at 0.8% and increased slightly from 5.2% to 5.6% for gestational diabetes. Preconception care and lifestyle interventions before, during, and after pregnancy might provide opportunities to control, prevent, or mitigate health risks associated with diabetes during pregnancy., Competing Interests: All authors have completed and submitted the ICMJE form for disclosure of potential conflicts of interest. No potential conflicts of interest were disclosed.

Accurately quantifying undiagnosed type 2 diabetes is an important challenge for conducting diabetes surveillance and identifying the potential missed opportunities for preventing complications. However, there has been little focused attention on how undiagnosed diabetes is defined in epidemiologic surveys and how limitations in methods used to ascertain undiagnosed diabetes may impact our understanding of the magnitude of this important public health problem. This Perspective highlights weaknesses in how undiagnosed diabetes is quantified in epidemiologic research and the biases and caveats that should be considered when using estimates of undiagnosed diabetes to influence public health policy., (© 2018 by the American Diabetes Association.)

Background: In 2015, The US Preventive Services Task Force (USPSTF) recommended screening for prediabetes and undiagnosed diabetes (collectively called dysglycemia) among adults aged 40-70 years with overweight or obesity. The recommendation suggests that clinicians consider screening earlier in people who have other diabetes risk factors., Objective: To compare the performance of limited and expanded screening criteria recommended by the USPSTF for detecting dysglycemia among US adults., Design: Cross-sectional analysis of survey and laboratory data collected from nationally representative samples of the civilian, noninstitutionalized US adult population., Participants: A total of 3643 adults without diagnosed diabetes who underwent measurement of hemoglobin A1c (A1c), fasting plasma glucose (FPG), and 2-h plasma glucose (2-h PG)., Main Measures: Screening eligibility according to the limited criteria was based on age 40 to 70 years old and overweight/obesity. Screening eligibility according to the expanded criteria was determined by meeting the limited criteria or having ≥ 1 of the following risk factors: family history of diabetes, history of gestational diabetes or polycystic ovarian syndrome, and non-white race/ethnicity. Dysglycemia was defined by A1c ≥ 5.7%, FPG ≥ 100 mg/dL, and/or 2-h PG ≥ 140 mg/dL., Key Results: Among the US adult population without diagnosed diabetes, 49.7% had dysglycemia. Screening based on the limited criteria demonstrated a sensitivity of 47.3% (95% CI, 44.7-50.0%) and specificity of 71.4% (95% CI, 67.3-75.2%). The expanded criteria yielded higher sensitivity [76.8% (95% CI, 73.5-79.8%)] and lower specificity [33.8% (95% CI, 30.1-37.7%)]. Point estimates for the sensitivity of the limited criteria were lower in all minority groups and significantly different for Asians compared to non-Hispanic whites [29.9% (95% CI, 23.4-37.2%) vs. 49.8% (95% CI, 45.9-53.7%); P < .001]., Conclusions: Diabetes screening that follows the limited USPSTF criteria will identify approximately half of US adults with dysglycemia. Screening other high-risk subgroups defined in the USPSTF recommendation would improve detection of dysglycemia and may reduce associated racial/ethnic disparities.

Background: There is controversy over the usefulness of prediabetes as a diagnostic label. Using data from US National Health and Nutrition Examination Surveys (NHANES) between 1988 and 2014, we examined the cardiovascular and renal burdens in adults with prediabetes over time and compared patterns with other glycaemic status groups., Methods: We analysed cross-sectional survey data from non-pregnant adults aged 20 years and older from the NHANES survey periods 1988-94, 1999-2004, 2005-10, and 2011-14. We defined diagnosed diabetes as patients' self-report that they had been previously diagnosed by a physician or health professional; among those with no self-reported diabetes, prediabetes was defined as a fasting plasma glucose (FPG) concentration of 100-125 mg/dL (5·6-6·9 mmol/L) or an HbA 1c of 5·7-6·4% (39-47 mmol/mol); undiagnosed diabetes as an FPG of 126 mg/dL (7·0 mmol/L) or higher or an HbA 1c of 6·5% (48 mmol/mol) or higher; and normal glycaemic status as an FPG of less than 100 mg/dL (5·6 mmol/L) and an HbA 1c of less than 5·7% (39 mmol/mol). We repeated the analyses using varying definitions of prediabetes (FPG 110-125 mg/dL [6·1-6·9 mmol/L] or HbA 1c 5·7-6·4% [39-47 mmol/mol], FPG 110-125 mg/dL [6·1-6·9 mmol/L] or HbA 1c 6·0-6·4% [42-47 mmol/mol], and FPG 100-125 mg/dL [5·6-6·9 mmol/L] and HbA 1c 5·7-6·4% [39-47 mmol/mol]). For each group over time, we estimated the prevalences of hypertension and dyslipidaemia; and among individuals with those conditions, we estimated the proportions who had been treated and who were achieving care goals. By glycaemic group, we estimated those who were current, former, and never smokers; mean 10-year risk of cardiovascular disease (using estimators from the Framingham Heart Study, the United Kingdom Prospective Diabetes Study (UKPDS), and the ACC/AHA ASCVD guidelines); albuminuria (median and albumin-to-creatinine ratio ≥30 mg/g), estimated glomerular filtration rate (eGFR; mean and <60 mL/min per 1·73m 2 ); and prevalence of myocardial infarction and stroke. For all estimates, we calculated predicted changes between 1988-94 and 2011-14 using logistic regression models adjusted for age, sex, and race or ethnic group., Findings: We obtained data for 27 971 eligible individuals. In 2011-14, in the population of adults with prediabetes, 36·6% (95% CI 32·8-40·5) had hypertension, 51·2% (47·0-55·3) had dyslipidaemia, 24·3% (21·7-27·3) smoked; 7·7% (6·8-8·8) had albuminuria; 4·6% (3·7-5·9) had reduced eGFR; and 10-year cardiovascular event risk ranged from 5% to 7%. From 1988-94 to 2011-14, adults with prediabetes showed significant increases in hypertension (+9·7 percentage points [95% CI 5·4-14·0]); no change in dyslipidaemia; decreases in smoking (-6·4 percentage points [-10·7 to -2·1]); increased use of treatment to lower blood pressure (54·2% [49·0-59·3] to 81·4% [76·7-85·3], +27·2 percentage points [20·5-33·8] p<0·0001) and to reduce lipids (6·6% to 40·2%, +33·6 percentage points [30·2-37·0], p<0·0001); and increased goal achievements for blood pressure (25·8% to 62·0%, +36·2 percentage points [30·7-41·8], p<0·0001) and lipids (1·0% to 32·8%, +31·8 percentage points [29·1-34·4, p<0·0001]). People with prediabetes also showed decreases in cardiovascular risk (ASCVD -1·9 percentage points [-2·5 to -1·3] to UKPDS -2·7 [-3·5 to -1·9], p<0·0001); but no change in prevalence of albuminuria, reduced eGFR, myocardial infarction, or stroke. Prevalence and patterns were consistent across all prediabetes definitions examined. Compared with adults with prediabetes, adults with diagnosed diabetes showed much larger improvements in cardiovascular and renal risk treatments, apart from smoking, which did not decline., Interpretation: Over 25 years, cardiovascular and renal risks and disease have become highly prevalent in adults with prediabetes, irrespective of the definitions used. Identification of people with prediabetes might increase the opportunity for cardiovascular and renal risk reduction., Funding: None., (Copyright © 2018 Elsevier Ltd. All rights reserved.)

Objective: We examined the proportion of American adults without type 2 diabetes that engages in lifestyle behaviors known to reduce type 2 diabetes risk., Research Design and Methods: We conducted a cross-sectional analysis of 3,679 nonpregnant, nonlactating individuals aged ≥20 years without diabetes (self-reported diagnosis or glycated hemoglobin ≥6.5% [8 mmol/mol] or fasting plasma glucose ≥126 mg/dL) and who provided 2 days of reliable dietary data in the 2007-2012 National Health and Nutrition Examination Surveys (NHANES). We used the average of 2 days of dietary recall and self-reported leisure-time physical activity to assess whether participants met type 2 diabetes risk reduction goals (meeting four or more MyPlate recommendations [adequate consumption of fruits, vegetables, dairy, grains, meat, beans, and eggs]; not exceeding three maximum allowances for alcoholic beverages, added sugars, fat, and cholesterol; and meeting physical activity recommendations [≥150 min/week])., Results: Approximately 21%, 29%, and 13% of individuals met fruit, vegetable, and dairy goals, respectively. Half (51.6%) met the goal for total grains, compared with 18% for whole grains, and 54.2% met the meat/beans goal and 40.6% met the oils goal. About one-third (37.8%) met the physical activity goal, and 58.6% met the weight loss/maintenance goal. Overall, 3.1% (95% CI 2.4-4.0) of individuals met the majority of type 2 diabetes risk reduction goals. Younger age and lower educational attainment were associated with lower probability of meeting goals., Conclusions: A small proportion of U.S. adults engages in risk reduction behaviors. Research and interventions targeted at young and less-educated segments of the population may help close gaps in risk reduction behaviors., (© 2018 by the American Diabetes Association.)

Aims: We aim to determine the association between prediabetes and diabetes with latent TB using National Health and Nutrition Examination Survey data., Methods: We performed a cross-sectional analysis of 2011-2012 National Health and Nutrition Examination Survey data. Participants ≥20 years were eligible. Diabetes was defined by glycated hemoglobin (HbA1c) as no diabetes (≤5.6% [38 mmol/mol]), prediabetes (5.7-6.4% [39-46 mmol/mol]), and diabetes (≥6.5% [48 mmol/mol]) combined with self-reported diabetes. Latent TB infection was defined by the QuantiFERON®-TB Gold In Tube (QFT-GIT) test. Adjusted odds ratios (aOR) of latent TB infection by diabetes status were calculated using logistic regression and accounted for the stratified probability sample., Results: Diabetes and QFT-GIT measurements were available for 4958 (89.2%) included participants. Prevalence of diabetes was 11.4% (95%CI 9.8-13.0%) and 22.1% (95%CI 20.5-23.8%) had prediabetes. Prevalence of latent TB infection was 5.9% (95%CI 4.9-7.0%). After adjusting for age, sex, smoking status, history of active TB, and foreign born status, the odds of latent TB infection were greater among adults with diabetes (aOR 1.90, 95%CI 1.15-3.14) compared to those without diabetes. The odds of latent TB in adults with prediabetes (aOR 1.15, 95%CI 0.90-1.47) was similar to those without diabetes., Conclusions: Diabetes is associated with latent TB infection among adults in the United States, even after adjusting for confounding factors. Given diabetes increases the risk of active TB, patients with co-prevalent diabetes and latent TB may be targeted for latent TB treatment., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Currently 23 million U.S. adults have been diagnosed with diabetes (1). The two most common forms of diabetes are type 1 and type 2. Type 1 diabetes results from the autoimmune destruction of the pancreas's beta cells, which produce insulin. Persons with type 1 diabetes require insulin for survival; insulin may be given as a daily shot or continuously with an insulin pump (2). Type 2 diabetes is mainly caused by a combination of insulin resistance and relative insulin deficiency (3). A small proportion of diabetes cases might be types other than type 1 or type 2, such as maturity-onset diabetes of the young or latent autoimmune diabetes in adults (3). Although the majority of prevalent cases of type 1 and type 2 diabetes are in adults, national data on the prevalence of type 1 and type 2 in the U.S. adult population are sparse, in part because of the previous difficulty in classifying diabetes by type in surveys (2,4,5). In 2016, supplemental questions to help distinguish diabetes type were added to the National Health Interview Survey (NHIS) (6). This study used NHIS data from 2016 to estimate the prevalence of diagnosed diabetes among adults by primary type. Overall, based on self-reported type and current insulin use, 0.55% of U.S. adults had diagnosed type 1 diabetes, representing 1.3 million adults; 8.6% had diagnosed type 2 diabetes, representing 21.0 million adults. Of all diagnosed cases, 5.8% were type 1 diabetes, and 90.9% were type 2 diabetes; the remaining 3.3% of cases were other types of diabetes. Understanding the prevalence of diagnosed diabetes by type is important for monitoring trends, planning public health responses, assessing the burden of disease for education and management programs, and prioritizing national plans for future type-specific health services., Competing Interests: No conflicts of interest were reported.

Objective: To examine recent trends in type 2 diabetes detection among adults in the USA., Research Design and Methods: We used data from the 1999-2014 National Health and Nutrition Examination Surveys on non-pregnant adults (aged ≥18 years) not reporting a diagnosis of diabetes (n=16 644 participants, averaging about 2000 for each 2-year cycle). We defined undiagnosed diabetes as a fasting plasma glucose ≥126 mg/dL or a hemoglobin A1c ≥6.5% (48 mmol/mol). We measured case detection as the probability of finding undiagnosed type 2 diabetes among the population without diagnosed diabetes. Linear regression models were used to examine trends overall and by sociodemographic characteristics (ie, age, gender, race/ethnicity, education, poverty-income ratio (PIR))., Results: Age-standardized probability of finding undiagnosed type 2 diabetes was 3.0% (95% CI 2.1% to 4.2%) during 1999-2000 and 2.8% (2.2%-3.6%) during 2013-2014 ( P for trend=0.52). Probability increased among Mexican-Americans ( P for trend=0.01) but decreased among adults aged 65 years or older ( P for trend=0.04), non-Hispanic (NH) white ( P for trend=0.02), and adults in the highest PIR tertile ( P for trend=0.047). For all other sociodemographic groups, no significant trends were detected., Conclusions: We found little evidence of increased detection of undiagnosed type 2 diabetes among adults in the USA during the past 15 years. Although improvements were seen among NH white, older, and wealthy adults, these improvements were not large. As the scope of primary prevention efforts increases, case detection may improve., Competing Interests: Competing interests: None declared.

Objective: Relationships were examined between persistent organic pollutants (POPs) and incident type 2 diabetes, end-stage renal disease (ESRD) and mortality., Methods: In a nested case-control study, 300 persons without diabetes had baseline examinations between 1969 and 1974; 149 developed diabetes (cases) and 151 remained non-diabetic (controls) during 8.0 and 23.1 years of follow-up, respectively. POPs were measured at baseline. ORs for diabetes were computed by logistic regression analysis. The cases were followed from diabetes onset to ESRD, death or 2013. HRs for ESRD and mortality were computed by cause-specific hazard models. Patterns of association were explored using principal components analysis., Results: PCB151 increased the odds for incident diabetes, whereas hexachlorobenzene (HCB) was protective after adjusting for age, sex, body mass index, sample storage characteristics, glucose and lipid levels. Associations between incident diabetes and polychlorinatedbiphenyl (PCB) or persistent pesticide (PST) components were mostly positive but non-significant. Among the cases, 29 developed ESRD and 48 died without ESRD. PCB28, PCB49 and PCB44 increased the risk of ESRD after adjusting for baseline demographic and clinical characteristics. Several PCBs and PSTs increased the risk of death without ESRD. The principal components analysis identified PCBs with low-chlorine load positively associated with ESRD and death without ESRD, and several PSTs associated with death without ESRD., Conclusions: Most POPs were positively but not significantly associated with incident diabetes. PCB151 was significantly predictive and HCB was significantly protective for diabetes. Among participants with diabetes, low-chlorine PCBs increase the risk of ESRD and death without ESRD, whereas several PSTs predict death without ESRD., Competing Interests: Competing interests: None declared., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.)

Background/objectives: The supine sagittal abdominal diameter (SAD) and standing waist circumference (WC) describe abdominal size. The SAD/height ratio (SADHtR) or WC/height ratio (WHtR) may better identify cardiometabolic disorders than BMI (weight/height2), but population-based distributions of SADHtR and WHtR are not widely available. Abdominal adiposity may differ by sociodemographic characteristics., Subjects/methods: Anthropometry, including SAD by sliding-beam caliper, was performed on 9894 non-pregnant adults ≥20 years in the US National Health and Nutrition Examination Surveys of 2011-2014. Applying survey design factors and sampling weights, we estimated nationally representative SADHtR and WHtR distributions by sex, age, educational attainment, and four ancestral groups., Results: The median (10th percentile, 90th percentile) for men's SADHtR was 0.130 (0.103, 0.165) and WHtR 0.569 (0.467, 0.690). For women, median SADHtR was 0.132 (0.102, 0.175) and WHtR 0.586 (0.473, 0.738). Medians for SADHtR and WHtR increased steadily through age 79. The median BMI, however, reached maximum values at ages 40-49 (men) or 60-69 (women) and then declined. Low educational attainment, adjusted for age and ancestry, was associated with elevated SADHtR more strongly than elevated BMI. While non-Hispanic Asians had substantially lower BMI compared to all other ancestral groups (adjusted for sex, age and education), their relative reductions in SADHtR and WHtR, were less marked., Conclusions: These cross-sectional data are consistent with monotonically increasing abdominal adipose tissue through the years of adulthood but decreasing mass in non-abdominal regions beyond middle age. They suggest also that visceral adipose tissue, estimated by SADHtR, expands differentially in association with low socioeconomic position. Insofar as Asians have lower BMIs than other populations, employing abdominal indicators may attenuate the adiposity differences reported between ancestral groups. Documenting the distribution and sociodemographic features of SADHtR and WHtR supports the clinical and epidemiologic adoption of these adiposity indicators.

Purpose: To examine the association of health-related quality of life (HRQoL) with severity of visual impairment among people aged 40-64 years., Methods: We used cross-sectional data from the 2006-2010 Behavioral Risk Factor Surveillance System to examine six measures of HRQoL: self-reported health, physically unhealthy days, mentally unhealthy days, activity limitation days, life satisfaction, and disability. Visual impairment was categorized as no, a little, or moderate/severe. We examined the association between visual impairment and HRQoL using logistic regression accounting for the survey's complex design., Results: Overall, 23.0% of the participants reported a little difficult seeing, while 16.8% reported moderate/severe difficulty seeing. People aged 40-64 years with moderate/severe visual impairment had more frequent (≥14) physically unhealthy days, mentally unhealthy days, and activity limitation days in the last 30 days, as well as greater life dissatisfaction, greater disability, and poorer health compared to people reporting no or a little visual impairment. After controlling for covariates (age, sex, marital status, race/ethnicity, education, income, state, year, health insurance, heart disease, stroke, heart attack, body mass index, leisure-time activity, smoking, and medical care costs), and compared to people with no visual impairment, those with moderate/severe visual impairment were more likely to have fair/poor health (odds ratio, OR, 2.01, 95% confidence interval, CI, 1.82-2.23), life dissatisfaction (OR 2.06, 95% CI 1.80-2.35), disability (OR 1.95, 95% CI 1.80-2.13), and frequent physically unhealthy days (OR 1.69, 95% CI 1.52-1.88), mentally unhealthy days (OR 1.84, 95% CI 1.66-2.05), and activity limitation days (OR 1.94, 95% CI 1.71-2.20; all p < 0.0001)., Conclusion: Poor HRQoL was strongly associated with moderate/severe visual impairment among people aged 40-64 years.

Objective: In 2010, the American Diabetes Association (ADA) endorsed hemoglobin A1c (HbA1c) as 1 of 3 tests for diabetes and prediabetes screening. We describe the use of HbA1c testing for screening during routine visits in primary care clinics of an urban health care system in the U.S., Methods: In 2013 to 2014, retrospective analyses of deidentified electronic health records over a 2-year period, January 2010 to December 2011, for academic private practices (clinic group 1) and federally-qualified Community Health Centers (clinic group 2) identified 11,885 adults without prior diabetes or recent HbA1c testing. We estimated the proportion of patients eligible for screening according to ADA and U.S. Preventative Services Task Force (USPSTF) guidelines and calculated the potential yield of previously undiagnosed diabetes or prediabetes among those who received at least 1 HbA1c test., Results: Overall, 3,316 and 5,613 patients of clinic groups 1 and 2 (75.2% of each) were eligible for screening by ADA guidelines, while only 1,764 (39.9%) of clinic group 1 and 3,799 (50.9%) of clinic group 2 were eligible by USPSTF guidelines. In those eligible by either guideline, 731 (21.4%) patients of clinic group 1 and 1,293 (21.5%) of clinic group 2 received HbA1c testing; among these, in 71 (9.7%) and 121 (9.4%) patients from clinic groups 1 and 2, respectively, HbA1c results were in the diabetes range, and in 330 (45.2%) and 733 (56.7%), results were in the prediabetes range., Conclusion: In urban primary care settings, appropriate HbA1c testing could result in the detection of a substantial number of previously undiagnosed diabetes and prediabetes cases needing treatment.

Background: The clinical recognition of cardiometabolic disorders might be enhanced by anthropometry based on the sagittal abdominal diameter (SAD; also called "abdominal height") or waist circumference rather than on weight. Direct comparisons of body mass index (BMI, weight/height(2)) with SAD/height ratio (SADHtR) or waist circumference/height ratio (WHtR) have not previously been tested in nationally representative populations., Methods: Nonpregnant adults without diagnosed diabetes (ages 20-64 years; n = 3071) provided conventional anthropometry and supine SAD (by sliding-beam caliper) in the 2011-2012 US National Health and Nutrition Examination Survey. Population-weighted, logistic models estimated how strongly each anthropometric indicator was associated with 5 cardiometabolic disorders: Dysglycemia (glycated hemoglobin ≥5.7%), HyperNonHDLc (non-high-density-lipoprotein [HDL] cholesterol ≥4.14 mmol/L, or taking anticholesteremic medications), Hypertension (systolic blood pressure ≥140 mm Hg or diastolic blood pressure ≥90 mm Hg, or taking antihypertensive medications), HyperALT (alanine transaminase ≥p75 [75th percentile, sex-specific]), and HyperGGT (gamma-glutamyltransferase ≥p75 [sex-specific])., Results: After scaling each indicator, adjusted odds ratios (aORs) tended to be highest for SADHtR and lowest for BMI when identifying each disorder except dysglycemia. When SADHtR entered models simultaneously with BMI, the aORs for BMI no longer directly identified any condition, whereas SADHtR identified persons with HyperNonHDLc by aOR 2.78 (95% confidence interval [CI], 1.71-4.51), Hypertension by aOR 2.51 (95% CI, 1.22-5.15), HyperALT by aOR 2.89 (95% CI, 1.56-5.37), and HyperGGT by aOR 5.43 (95% CI, 3.01-9.79). WHtR competed successfully against BMI with regard to Dysglycemia, HyperNonHDLc, and HyperGGT. c-Statistics of SADHtR and WHtR were higher than those of BMI (P <.001) for identifying HyperNonHDLc and HyperGGT., Conclusions: Among nonelderly adults, SADHtR or WHtR recognized cardiometabolic disorders better than did the BMI., Competing Interests: None., (Published by Elsevier Inc.)