OBJECTIVE: To compare the prevalence of diagnosed diabetes among U.S. adults with and without disabilities, overall and by subgroups. RESEARCH DESIGN AND METHODS: We used data on adults aged ≥18 years from the cross-sectional 2021-2022 National Health Interview Survey to report the prevalence of diagnosed diabetes by functional disability status and for each disability type (hearing, seeing, mobility, cognition, self-care, and communication) separately. With use of the Washington Group Short Set on Functioning indicator, disability was defined according to the categories of milder (reporting some difficulty), moderate (reporting a lot of difficulty), and severe (cannot do at all) by disability type. Crude prevalence and age-standardized prevalence of diabetes were also calculated for adults with any difficulty with any disability by age, sex, race/ethnicity, education, insurance, and poverty-to-income ratio. RESULTS: Diabetes prevalence increased with number of disability types, was lower among adults with no disability (5.8%) than among those with milder (9.5%) or moderate to more severe (18.3%) disability, and was 4.0-10.3 percentage points higher among those with moderate to more severe disability than among those with milder disability for vision, hearing, mobility, and cognitive disabilities. Diabetes prevalence was similar for adults with milder and moderate to more severe self-care and communication disabilities. CONCLUSIONS: Prevalence of diabetes was higher among adults with any functional disability than without and increased with increasing number of disability types. Adults with multiple disability types, or those who have difficulty with self-care or communication or other moderate to more severe disabilities, may benefit from diabetes prevention programs.

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.

We report the complete genome sequences of nine double recombinant vaccine-derived novel oral poliovirus type 2 genomes from acute flaccid paralysis (AFP) cases (n = 3), AFP case contacts (n = 4), and environmental surveillance sampling (n = 2) in Nigeria.

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.

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.

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 1.93; 95% CI 1.79 to 2.09 for ICE(income)), NH black (aRR 1.93; 95% CI 1.79 to 2.09 for ICE(race)) and low-income NH black households (aRR 1.32; 95% CI 1.18 to 1.47 for ICE(combined)) had greater diabetes mortality. CONCLUSION: Racial and economic segregation is associated with diabetes mortality across US counties.

Since the launch of the Global Polio Eradication Initiative in 1988, substantial progress has been made in the interruption of wild poliovirus (WPV) transmission worldwide: global eradication of WPV types 2 and 3 were certified in 2015 and 2019, respectively, and endemic transmission of WPV type 1 continues only in Afghanistan and Pakistan. After the synchronized global withdrawal of all serotype 2 oral poliovirus vaccines (OPVs) in 2016, widespread outbreaks of circulating vaccine-derived poliovirus type 2 (cVDPV2) have occurred, which are linked to areas with low population immunity to poliovirus. Officials in Somalia have detected ongoing cVDPV2 transmission since 2017. Polio vaccination coverage and surveillance data for Somalia were reviewed to assess this persistent transmission. During January 2017-March 2024, officials in Somalia detected 39 cVDPV2 cases in 14 of 20 regions, and transmission has spread to neighboring Ethiopia and Kenya. Since January 2021, 28 supplementary immunization activities (SIAs) targeting cVDPV2 were conducted in Somalia. Some parts of the country are security-compromised and inaccessible for vaccination campaigns. Among 1,921 children with nonpolio acute flaccid paralysis, 231 (12%) had not received OPV doses through routine immunization or SIAs, 95% of whom were from the South-Central region, and 60% of whom lived in inaccessible districts. Enhancing humanitarian negotiation measures in Somalia to enable vaccination of children in security-compromised areas and strengthening campaign quality in accessible areas will help interrupt cVDPV2 transmission.

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.

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.

Although diabetes and cardiovascular disease account for substantial disease prevalence among adults in the United States, their prevalence among racial and ethnic subgroups is inadequately characterized. To fill this gap, CDC described the prevalence of diagnosed cardiometabolic diseases among U.S. adults, by disaggregated racial and ethnic subgroups, among 3,970,904 respondents to the Behavioral Risk Factor Surveillance System during 2013-2021. Prevalence of each disease (diabetes, myocardial infarction, angina or coronary heart disease, and stroke), stratified by race and ethnicity, was based on self-reported diagnosis by a health care professional, adjusting for age, sex, and survey year. Overall, mean respondent age was 47.5 years, and 51.4% of respondents were women. Prevalence of cardiometabolic diseases among disaggregated race and ethnicity subgroups varied considerably. For example, diabetes prevalence within the aggregated non-Hispanic Asian category (11.5%) ranged from 6.3% in the Vietnamese subgroup to 15.2% in the Filipino subgroup. Prevalence of angina or coronary heart disease for the aggregated Hispanic or Latino category (3.8%) ranged from 3.1% in the Cuban subgroup to 6.3% in the Puerto Rican subgroup. Disaggregation of cardiometabolic disease prevalence data by race and ethnicity identified health disparities among subgroups that can be used to better help guide prevention programs and develop culturally relevant interventions.

BACKGROUND: Household food insecurity has been linked to adverse health outcomes, but 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 physiological 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 US 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, 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 to 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.

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.

The epidemic of diabetes continues to exert great burden and cost on affected people, their families, and society. Current estimates of the burden of prediabetes and diabetes in youth and adults for the U.S. are made available through the Centers for Disease Control and Prevention (CDC) (https://www.cdc.gov/diabetes/data/statistics-report/index.html and https://gis.cdc.gov/grasp/diabetes/DiabetesAtlas.html) and for regions of the world by the International Diabetes Federation (https://diabetesatlas.org/2022-reports/). These data are typically updated every year or two. | | CDC’s estimates for the prevalence of both diagnosed and undiagnosed diabetes, prevalence of prediabetes among adults, incidence of newly diagnosed diabetes, risk factors for diabetes-related complications, and burden of coexisting conditions and complications provide valuable information, but many questions are not addressed in these national data. Therefore, commencing with this month’s issue, Diabetes Care and CDC begin a partnership to enhance knowledge among the journal’s readership by highlighting important aspects of the national burden of diabetes that expand upon the data and information provided on the CDC’s website. Through this collaboration, we will at least twice a year publish in Diabetes Care in-depth explorations of timely and clinically significant topics authored by members of CDC. As with all original manuscripts submitted to Diabetes Care, they will undergo peer review to ensure they are scientifically rigorous and informative.

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.

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 (+8.3pp; 95% CI: 3.8,12.8), and fewer met added sugar recommendations (-8.8pp; 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.

INTRODUCTION: The American Diabetes Association (ADA) recommends screening for prediabetes and diabetes (dysglycemia) starting at age 35, or younger than 35 years among adults with overweight or obesity and other risk factors. Diabetes risk differs by sex, race, and ethnicity, but performance of the recommendation in these sociodemographic subgroups is unknown. METHODS: Nationally representative data from the National Health and Nutrition Examination Surveys (2015-March 2020) were analyzed from 5,287 nonpregnant US adults without diagnosed diabetes. Screening eligibility was based on age, measured body mass index, and the presence of diabetes risk factors. Dysglycemia was defined by fasting plasma glucose ≥100mg/dL (≥5.6 mmol/L) or haemoglobin A1c ≥5.7% (≥39mmol/mol). The sensitivity, specificity, and predictive values of the ADA screening criteria were examined by sex, race, and ethnicity. RESULTS: An estimated 83.1% (95% CI=81.2-84.7) of US adults were eligible for screening according to the 2023 ADA recommendation. Overall, ADA's screening criteria exhibited high sensitivity [95.0% (95% CI=92.7-96.6)] and low specificity [27.1% (95% CI=24.5-29.9)], which did not differ by race or ethnicity. Sensitivity was higher among women [97.8% (95% CI=96.6-98.6)] than men [92.4% (95% CI=88.3-95.1)]. Racial and ethnic differences in sensitivity and specificity among men were statistically significant (P=0.04 and P=0.02, respectively). Among women, guideline performance did not differ by race and ethnicity. DISCUSSION: The ADA screening criteria exhibited high sensitivity for all groups and was marginally higher in women than men. Racial and ethnic differences in guideline performance among men were small and unlikely to have a significant impact on health equity. Future research could examine adoption of this recommendation in practice and examine its effects on treatment and clinical outcomes by sex, race, and ethnicity.

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.

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.

Circulating vaccine-derived poliovirus (cVDPV) outbreaks can occur when oral poliovirus vaccine strains (most often, Sabin monovalent oral poliovirus vaccine type 2 [mOPV2]) undergo prolonged circulation in undervaccinated populations, resulting in genetic reversion to neurovirulence. A novel type 2 oral poliovirus vaccine (nOPV2) has been developed, which has been shown in clinical trials to be less likely than mOPV2 to revert to paralytic variants and to have limited genetic modifications in initial field use (1–4). Approximately 700 million doses of nOPV2 have been administered worldwide in response to outbreaks of cVDPV type 2 (cVDPV2). cVDPV2 detections originating from nOPV2 use from initial rollout during March 2021–September 7, 2023, are described in this report.

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.

Aims We aimed 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% [3946mmol/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 4,958 (89.2%) included participants. Prevalence of diabetes was 11.4% (95%CI 9.8-13.0%) and 22.1% (95%CI 20.523.8%) 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.

INTRODUCTION: This study examined national trends in age, sex, racial and ethnic, and socioeconomic inequalities for diagnosed diabetes prevalence and incidence among US adults from 2008-2021. METHODS: Adults (≥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 (PIR) along with the average annual percent 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 while a value further from 0 represents greater inequality. RESULTS: On average over time, PIR inequalities in diabetes prevalence worsened (SII: -8.24 in 2008 and -9.80 in 2021; AAPC for SII: -1.90%, p=0.003) while 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 2008-2021, 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 factors driving these trends including the contribution of morbidity and mortality.

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.

AIMS: Among adults with diabetes in the United States, we evaluated anemia prevalence by CKD status as well as the role of CKD and anemia, as potential risk factors for all-cause mortality. METHODS: In a retrospective cohort study, we included 6,718 adult participants with prevalent diabetes from the 2003-March 2020 National Health and Nutrition Examination Survey (NHANES), a nationally representative sample of the non-institutionalized civilian population in the United States. Cox regression models evaluated the role of anemia and CKD, alone or combined, as predictors of all-cause mortality. RESULTS: Anemia prevalence among adults with diabetes and CKD was 20%. Having anemia or CKD alone, compared with having neither condition, was significantly associated with all-cause mortality (anemia: HR=2.10 [1.49-2.96], CKD: HR=2.24 [1.90-2.64]). Having both conditions conferred a greater potential risk (HR=3.41 [2.75-4.23]). CONCLUSIONS: Approximately one-quarter of the adult US population with diabetes and CKD also has anemia. The presence of anemia, with or without CKD, is associated with a two- to threefold increased risk of death by compared with adults who have neither condition, suggesting that anemia may be a strong predictor of death among adults with diabetes.

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.

After six years without any detection of poliomyelitis cases, Angola reported a case of circulating vaccine-derived poliovirus type 2 (cVDPV2) with paralysis onset date of 27 March 2019. Ultimately, 141 cVDPV2 polio cases were reported in all 18 provinces in 2019-2020, with particularly large hotspots in the south-central provinces of Luanda, Cuanza Sul, and Huambo. Most cases were reported from August to December 2019, with a peak of 15 cases in October 2019. These cases were classified into five distinct genetic emergences (emergence groups) and have ties with cases identified in 2017-2018 in the Democratic Republic of Congo. From June 2019 to July 2020, the Angola Ministry of Health and partners conducted 30 supplementary immunization activity (SIA) rounds as part of 10 campaign groups, using monovalent OPV type 2 (mOPV2). There were Sabin 2 vaccine strain detections in the environmental (sewage) samples taken after mOPV2 SIAs in each province. Following the initial response, additional cVDPV2 polio cases occurred in other provinces. However, the national surveillance system did not detect any new cVDPV2 polio cases after 9 February 2020. While reporting subpar indicator performance in epidemiological surveillance, the laboratory and environmental data as of May 2021 strongly suggest that Angola successfully interrupted transmission of cVDPV2 early in 2020. Additionally, the COVID-19 pandemic did not allow a formal Outbreak Response Assessment (OBRA). Improving the sensitivity of the surveillance system and the completeness of AFP case investigations will be vital to promptly detect and interrupt viral transmission if a new case or sewage isolate are identified in Angola or central Africa.

AIMS: Recent USPSTF and ADA guidelines expanded criteria of whom to test to identify prediabetes and diabetes. We described which Americans are eligible and report receiving glucose testing by USPSTF 2015 and 2021 as well as ADA 2003 and 2022 recommendations, and performance of each guideline. METHODS: We analyzed cross-sectional data from 6,007 non-pregnant U.S. adults without diagnosed diabetes in the 2013-2018 National Health and Nutrition Examination Surveys. We reported proportions of adults who met each guideline's criteria for glucose testing and reported receiving glucose testing in the past three years, overall and by key population subgroups,. Defining prediabetes (FPG 100-125mg/dL and/or HbA1c 5.7-6.4%) or previously undiagnosed diabetes (FPG≥126mg/dL and/or HbA1c≥6.5%), we assessed sensitivity and specificity. RESULTS: During 2013-2018, 76.7 million, 90.4 million, 157.7 million, and 169.5 million US adults met eligibility for glucose testing by USPSTF 2015, 2021, and ADA 2003 and 2022 guidelines, respectively. On average, 52% of adults reported receiving glucose testing within the past 3 years. Likelihood of receiving glucose testing was lower among younger adults, men, Hispanic adults, those with less than high school completion, those living in poverty, and those without health insurance or a usual place of care than their respective counterparts. ADA recommendations were most sensitive (range: 91.0% to 100.0%) and least specific (range: 18.3% to 35.3%); USPSTF recommendations exhibited lower sensitivity (51.9% to 66.6%), but higher specificity (56.6% to 74.5%). CONCLUSIONS: An additional 12-14 million US adults are eligible for diabetes screening. USPSTF 2021 criteria provide balanced sensitivity and specificity while ADA 2022 criteria maximize sensitivity. Glucose testing does not align with guidelines and disparities remain.

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.