Introduction and Objective: Effects of the COVID-19 pandemic on clinical trials and longitudinal cohorts were profound, but impacts on health-related and social factors of such cohorts have not been examined. We report the impact of COVID-19 on DPPOS participants. Methods: The study included 1877 adults who had high risk of T2D at enrollment in 1996-1999 were followed semi-annually. Study visits were conducted virtually from March until August 2020, with in-person visits resuming site-by-site thereafter. A COVID-19 pandemic impact survey was completed by phone or in-person from January 2021 to June 2022. Linear mixed models explored differences in health outcomes measured in the clinic both before and after pandemic closures. Results: Through June 2022, 322 DPPOS participants (17%) self-reported a COVID-19 illness, 60 (18.6% of 322) were hospitalized and 20 (6.2%) died from COVID-19; 1745 (94%) reported being vaccinated. Among 1859 participants who completed at least one survey, common burdens included: decreased physical activity (PA, 50%), increased food intake (27%), negative impact on relationships (19%), lost job/income (9%), new or increased caring for family member (7%), and difficulty getting food/medications (7%). Overall, greater burden was observed among women, younger participants, and American Indian participants. Women were more likely than men to report an increase in food intake (17% men, 31% women) and a decrease in PA (34% men, 56% women). Of 1329 participants with longitudinal in-person measurements both before March 2020 and between July 2020-June 2022, there were no significant changes in weight/BMI, blood pressure or HbA1c post-pandemic. Conclusion: Hospitalization and death from COVID-19 were significant, as was the overall burden of the pandemic, particularly among women. The pandemic was associated with personal burden but not T2D-specific health outcomes, underscoring the social impact of the pandemic on individuals from varying sociodemographic groups. A.H. Tjaden: None. K.A. Temple: None. S. Edelstein: None. W.C. Knowler: None. V. Shah: None. S. Kuo: None. P. Wander: None. M.G. Araneta: None. J.M. Noble: None. D. Dabelea: None. R.L. Dubin: None. J.P. Crandall: None. D. Research Group: None. National Institute of Diabetes and Digestive and Kidney Diseases of the National Institutes of Health (U01 DK048489, U01 DK048339, U01 DK048377, U01 DK048349, U01 DK048381, U01 DK048468, U01 DK048434, U01 DK048485, U01 DK048375, U01 DK048514, U01 DK048437, U01 DK048413, U01 DK048411, U01 DK048406, U01 DK048380, U01 DK048397, U01 DK048412, U01 DK048404, U01 DK048387, U01 DK048407, U01 DK048443, and U01 DK048400)

Objective This study investigated associations of adiposity and adiposity-related biomarkers with incident type 2 diabetes (T2D) among parous women. Methods Among women in the Diabetes Prevention Program (DPP) who reported a previous live birth, circulating biomarkers (leptin, adiponectin, sex hormone-binding globulin, and alanine aminotransferase; n = 1,711) were measured at enrollment (average: 12 years post partum). Visceral (VAT) and subcutaneous adipose tissue areas at the L2-L3 region and the L3-L4 region were quantified by computed tomography (n = 477). Overall and stratified (by history of gestational diabetes mellitus [GDM]) adjusted Cox proportional hazards models were fit. Results Alanine aminotransferase, L2-L3 VAT, and L3-L4 VAT were positively associated (hazard ratio [HR] for 1-SD increases: 1.073, p = 0.024; 1.251, p = 0.009; 1.272, p = 0.004, respectively), and adiponectin concentration was inversely associated with T2D (HR 0.762, p < 0.001). Whereas leptin concentration was not associated with T2D overall, in GDM-stratified models, a 1-SD higher leptin was positively associated with risk of T2D in women without GDM (HR: 1.126, p = 0.016) and inversely in women with a history of GDM (HR: 0.776, p = 0.013, interaction p = 0.002). Conclusions Among parous women, alanine aminotransferase and VAT are positively associated with incident T2D, whereas adiponectin is inversely associated. Leptin is associated with higher risk of T2D in women with a history of GDM but a lower risk in women without a history of GDM.

Background The evidence linking sugar-sweetened beverage (SSB) intake and mor-tality risk is conflicting, and associations between various SSB subtypes and mortality remain unclear. Objective To examine the association between baseline SSB intake, subtypes of SSB intake, and mortality risk in women. Design Prospective cohort study. Participants/setting Participants of the California Teachers Study (n = 100,314; me-dian age = 53 years) free of cardiovascular disease, cancer, and diabetes at baseline (1995-1996) were followed from 1995 to 2015. Baseline SSB intake was defined as caloric soft drinks (regular soft drinks, not diet soda), sweetened bottled waters or teas, and fruit drinks; and was derived from a self-administered food frequency questionnaire. Main outcome measure Mortality was ascertained via annual linkage with state-and nationwide mortality records and the National Death Index over 20 years. Statistical analysis Multivariable-adjusted Cox proportional hazards models were used to generate hazard ratios (HRs) and 95% CIs for assessing associations between SSB intake and mortality. Rare/never consumers were the comparator group. Results There were a total of 14,143 deaths over 20 years (30.5% from cardiovascular disease; 29.2% from cancer). In women who consumed > 7 servings/week of SSBs at baseline (4% of participants), the multivariable-adjusted HRs were not significant for all-cause, cardiovascular disease-specific, or cancer-specific mortality. Consuming > 7 servings/week of baseline caloric soft drink was associated with a higher risk of all-cause (HR = 1.26, 95% CI 1.10 to 1.46; P for trend = 0.02) and cancer-specific (HR = 1.33, 95% CI 1.08 to 1.63; P for trend = 0.08) mortality. In secondary analyses, consuming > 1.5 c/day of baseline SSBs was associated with all-cause mortality (HR = 1.12, 95% CI 1.02 to 1.24; P for trend = 0.01). Conclusions Although the baseline frequency of total SSB intake was not significantly associated with mortality, consuming > 7 servings/week of caloric soft drinks was associated with higher risk of all-cause and cancer-specific mortality. Findings support public health efforts to reduce caloric soft drink consumption. J Acad Nutr Diet. 2022;122(2):320-333.

Asian Americans (AsA), Native Hawaiians, and Pacific Islanders (NHPI) comprise 7.7% of the U.S. population, and AsA have had the fastest growth rate since 2010. Yet the National Institutes of Health (NIH) has invested only 0.17% of its budget on AsA and NHPI research between 1992 and 2018. More than 40 ethnic subgroups are included within AsA and NHPI (with no majority subpopulation), which are highly diverse culturally, demographically, linguistically, and socioeconomically. However, data for these groups are often aggregated, masking critical health disparities and their drivers. To address these issues, in March 2021, the National Heart, Lung, and Blood Institute, in partnership with 8 other NIH institutes, convened a multidisciplinary workshop to review current research, knowledge gaps, opportunities, barriers, and approaches for prevention research for AsA and NHPI populations. The workshop covered 5 domains: 1) sociocultural, environmental, psychological health, and lifestyle dimensions; 2) metabolic disorders; 3) cardiovascular and lung diseases; 4) cancer; and 5) cognitive function and healthy aging. Two recurring themes emerged: Very limited data on the epidemiology, risk factors, and outcomes for most conditions are available, and most existing data are not disaggregated by subgroup, masking variation in risk factors, disease occurrence, and trajectories. Leveraging the vast phenotypic differences among AsA and NHPI groups was identified as a key opportunity to yield novel clues into etiologic and prognostic factors to inform prevention efforts and intervention strategies. Promising approaches for future research include developing collaborations with community partners, investing in infrastructure support for cohort studies, enhancing existing data sources to enable data disaggregation, and incorporating novel technology for objective measurement. Research on AsA and NHPI subgroups is urgently needed to eliminate disparities and promote health equity in these populations.

Objective: This study investigated associations of adiposity and adiposity-related biomarkers with incident type 2 diabetes (T2D) among parous women. Methods: Among women in the Diabetes Prevention Program (DPP) who reported a previous live birth, circulating biomarkers (leptin, adiponectin, sex hormone-binding globulin, and alanine aminotransferase; n = 1,711) were measured at enrollment (average: 12 years post partum). Visceral (VAT) and subcutaneous adipose tissue areas at the L2-L3 region and the L3-L4 region were quantified by computed tomography (n = 477). Overall and stratified (by history of gestational diabetes mellitus [GDM]) adjusted Cox proportional hazards models were fit. Results: Alanine aminotransferase, L2-L3 VAT, and L3-L4 VAT were positively associated (hazard ratio [HR] for 1-SD increases: 1.073, p = 0.024; 1.251, p = 0.009; 1.272, p = 0.004, respectively), and adiponectin concentration was inversely associated with T2D (HR 0.762, p < 0.001). Whereas leptin concentration was not associated with T2D overall, in GDM-stratified models, a 1-SD higher leptin was positively associated with risk of T2D in women without GDM (HR: 1.126, p = 0.016) and inversely in women with a history of GDM (HR: 0.776, p = 0.013, interaction p = 0.002). Conclusions: Among parous women, alanine aminotransferase and VAT are positively associated with incident T2D, whereas adiponectin is inversely associated. Leptin is associated with higher risk of T2D in women with a history of GDM but a lower risk in women without a history of GDM.

AIMS:Previous characterisation of body composition as a type 2 diabetes mellitus (T2DM) risk factor has largely focused on adiposity, but less is known about the independent role of skeletal muscle. We examined associations between abdominal muscle and measures of glucose regulation.MATERIALS AND METHODS:Cross-sectional analysis of 1,891 adults enrolled in the Multi-Ethnic Study of Atherosclerosis. Multivariable regression assessed associations between abdominal muscle area and density (measured by computed tomography) with fasting glucose, homeostasis model assessment of insulin resistance (HOMA-IR), and prevalent T2DM (fasting glucose ≥126 mg/dL or medication use).RESULTS:In minimally adjusted models (age, sex, race/ethnicity, income), a 1-SD increment in abdominal muscle area was associated with higher HOMA-IR (β = 0.20 ± SE 0.03; 95%CI: 0.15, 0.25; P < 0.01) and odds of T2DM (OR = 1.47; 95%CI: 1.18, 1.84; P < 0.01), while higher density was associated with lower fasting glucose (-4.49 ± 0.90; -6.26, -2.72; P < 0.01), HOMA-IR (-0.16 ± 0.02; -0.20, -0.12; P < 0.01), and odds of T2DM (0.64; 0.52, 0.77; P < 0.01). All associations persisted after adjustment for comorbidities and health behaviours. However, after controlling for height, BMI, and visceral adiposity, increasing muscle area became negatively associated with fasting glucose (-2.23 ± 1.01; -4.22, -0.24; P = 0.03), while density became positively associated with HOMA-IR (0.09 ± 0.02; 0.05, 0.13; P < 0.01).CONCLUSIONS:Increasing muscle density was associated with salutary markers of glucose regulation, but associations inverted with further adjustment for body size and visceral adiposity. Conversely, after full adjustment, increasing muscle area was associated with lower fasting glucose, suggesting some patients may benefit from muscle-building interventions.

Background Asian-Americans and Pacific Islanders comprise 6% of the U.S. population, but 50% of chronic hepatitis B cases and have a cancer mortality that is 60% higher than non-Hispanic Whites. The objective of this study was to assess knowledge of HBV transmission, symptoms/sequelae and treatment among NHPIs in San Diego. Methods Self-administered surveys were distributed using convenience sampling at the 24th Annual Pacific Islander Festival in San Diego in 2018. Results Overall knowledge scores were low (mean: 9.8 out of 28) among participants. Compared to U.S.- born (mean: 11.6), participants born in Pacific Island countries and territories (mean: 8.5) had lower knowledge scores (p = 0.017) and lower self-reported vaccination rates (50% vaccinated vs 27%, respectively, p = 0.025). Discussion Lack of HBV knowledge, low vaccination rates and the discordance between knowledge and behavior regarding HBV vaccination elicits an urgent need to collaborate with NHPI communities for HBV education, screening, immunization and treatment.

Objective The extent to which infertility and pregnancy independently increase risk of diabetes and subclinical atherosclerosis is not known. Research Design And Methods We conducted a secondary analysis of Diabetes Prevention Program (DPP) and the DPP Outcomes Study over a 15-year period. We included women who answered questions about gravidity and infertility at baseline (n = 2085). Infertility was defined as > 1 year of unsuccessful attempts to conceive; thus, women could have histories of infertility as well as pregnancy. Risk of diabetes associated with gravidity and infertility was calculated using Cox proportional hazards models adjusting for age, race/ethnicity, treatment arm, body mass index, and pregnancy during the study. Among women who underwent assessment of coronary artery calcification (CAC) (n = 1337), odds of CAC were calculated using logistic regression models with similar covariates. Results Among premenopausal women (n = 1075), women with histories of pregnancy and infertility (n = 147; hazard ratio [HR] 1.80; 95% confidence interval [CI] 1.30, 2.49) and women with histories of pregnancy without infertility (n = 736; HR 1.49; 95% CI 1.15, 1.93) had greater diabetes risk than nulligravid women without infertility (n = 173). Premenopausal nulligravid women with histories of infertility had a non-significant elevation in risk, although the number of these women was small (n = 19; HR 1.63; 95% CI 0.88, 3.03). Associations were not observed among postmenopausal women (n = 1010). No associations were observed between infertility or pregnancy with CAC. Conclusions Pregnancy, particularly combined with a history of infertility, confers increased risk of diabetes but not CAC among glucose-intolerant premenopausal women.

Using data from the Multi-Ethnic Study of Atherosclerosis (United States, 2000-2015), 6,527 racially/ethnically diverse adults (mean age, 62 (standard deviation, 10) years) free of known cardiovascular (CVD) had ankle brachial index (ABI) assessment of their bilateral dorsalis pedis/posterior tibial arteries (4 vessels total) and were followed for total mortality and incident CVD events/mortality. Individuals were classified into categories of 0-, 1-, 2-, 3- or 4-vessel peripheral artery disease (PAD) (ABI of <= 0.9). There were 1,202 deaths (18%), 656 incident CVD events (10%), and 282 CVD deaths (4.3%). Of the 6,527 individuals, 5,711 (87.5%) had 0-, 460 (7.0%) had 1-, 218 (3.3%) had 2-, 69 (1.1%) had 3-, and 69 (1.1%) had 4-vessel PAD, respectively. In multivariable Cox models, higher number of vessels with PAD was associated with higher risk of mortality (P for trend <0.001), CVD events (P for trend = 0.002), and CVD mortality (P for trend = 0.001). Compared with individuals who had 0-vessel disease, hazard ratios for mortality were 1.29 (95% confidence interval (CI): 1.06, 1.59) for 1-, 1.45 (95% CI: 1.14, 1.86) for 2-, 1.58 (95% CI: 1.13, 2.21) for 3-, and 2.15 (95% CI: 1.58, 2.94) for 4-vessel disease. A similar pattern was seen for CVD events/mortality. These results suggest the importance of accounting for ABI values of all 4 leg arteries in clinical practice and research.

Coronary artery disease (CAD) is more frequent among individuals with dysglycemia. Preventive interventions for diabetes can improve cardiometabolic risk factors (CRFs), but it is unclear whether the benefits on CRFs are similar for individuals at different genetic risk for CAD. We built a 201-variant polygenic risk score (PRS) for CAD and tested for interaction with diabetes prevention strategies on 1-year changes in CRFs in 2,658 Diabetes Prevention Program (DPP) participants. We also examined whether separate lifestyle behaviors interact with PRS and affect changes in CRFs in each intervention group. Participants in both the lifestyle and metformin interventions had greater improvement in the majority of recognized CRFs compared with placebo (P < 0.001) irrespective of CAD genetic risk (Pinteraction > 0.05). We detected nominal significant interactions between PRS and dietary quality and physical activity on 1-year change in BMI, fasting glucose, triglycerides, and HDL cholesterol in individuals randomized to metformin or placebo, but none of them achieved the multiple-testing correction for significance. This study confirms that diabetes preventive interventions improve CRFs regardless of CAD genetic risk and delivers hypothesis-generating data on the varying benefit of increasing physical activity and improving diet on intermediate cardiovascular risk factors depending on individual CAD genetic risk profile.

IMPORTANCE The prevalence of diabetes among Hispanic and Asian American subpopulations in the United States is unknown. OBJECTIVE To estimate racial/ethnic differences in the prevalence of diabetes among US adults 20 years or older by major race/ethnicity groups and selected Hispanic and non-Hispanic Asian subpopulations. DESIGN, SETTING, AND PARTICIPANTS National Health and Nutrition Examination Surveys, 2011-2016, cross-sectional samples representing the noninstitutionalized, civilian, US population. The sample included adults 20 years or older who had self-reported diagnosed diabetes during the interview or measurements of hemoglobin A(1c) (HbA(1c)), fasting plasma glucose (FPG), and 2-hour plasma glucose (2hPG). EXPOSURES Race/ethnicity groups: non-Hispanic white, non-Hispanic black, Hispanic and Hispanic subgroups (Mexican, Puerto Rican, Cuban/Dominican, Central American, and South American), non-Hispanic Asian and non-Hispanic Asian subgroups (East, South, and Southeast Asian), and non-Hispanic other. MAIN OUTCOMES AND MEASURES Diagnosed diabetes was based on self-reported prior diagnosis. Undiagnosed diabetes was defined as HbA1c 6.5% or greater, FPG 126 mg/dL or greater, or 2hPG 200 mg/dL or greater in participants without diagnosed diabetes. Total diabetes was defined as diagnosed or undiagnosed diabetes. RESULTS The study sample included 7575 US adults (mean age, 47.5 years; 52% women; 2866 [65%] non-Hispanic white, 1636 [11%] non-Hispanic black, 1952 [15%] Hispanic, 909 [6%] non-Hispanic Asian, and 212 [3%] non-Hispanic other). A total of 2266 individuals had diagnosed diabetes; 377 had undiagnosed diabetes. Weighted age- and sex-adjusted prevalence of total diabetes was 12.1% (95% CI, 11.0%-13.4%) for non-Hispanic white, 20.4% (95% CI, 18.8%-22.1%) for non-Hispanic black, 22.1% (95% CI, 19.6%-24.7%) for Hispanic, and 19.1%(95% CI, 16.0%-22.1%) for non-Hispanic Asian adults (overall P < .001). Among Hispanic adults, the prevalence of total diabetes was 24.6%(95% CI, 21.6%-27.6%) for Mexican, 21.7%(95% CI, 14.6%-28.8%) for Puerto Rican, 20.5%(95% CI, 13.7%-27.3%) for Cuban/Dominican, 19.3%(95% CI, 12.4%-26.1%) for Central American, and 12.3%(95% CI, 8.5%-16.2%) for South American subgroups (overall P < .001). Among non-Hispanic Asian adults, the prevalence of total diabetes was 14.0%(95% CI, 9.5%-18.4%) for East Asian, 23.3%(95% CI, 15.6%-30.9%) for South Asian, and 22.4%(95% CI, 15.9%-28.9%) for Southeast Asian subgroups (overall P = .02). The prevalence of undiagnosed diabetes was 3.9% (95% CI, 3.0%-4.8%) for non-Hispanic white, 5.2%(95% CI, 3.9%-6.4%) for non-Hispanic black, 7.5%(95% CI, 5.9%-9.1%) for Hispanic, and 7.5%(95% CI, 4.9%-10.0%) for non-Hispanic Asian adults (overall P < .001). CONCLUSIONS AND RELEVANCE In this nationally representative survey of US adults from 2011 to 2016, the prevalence of diabetes and undiagnosed diabetes varied by race/ethnicity and among subgroups identified within the Hispanic and non-Hispanic Asian populations.

Introduction: The ankle brachial index (ABI) is independently associated with cardiovascular disease (CVD) events and mortality. The recommended ABI calculation for the ankle pressure involves taking the higher (ABI-TRAD) of the dorsalis pedis (DP) or posterior tibial (PT) arteries in the lower of the two legs. However, little is known about using the lower (ALT-ABI) of the DP/PT in evaluating CVD endpoints. Methods: Using a multiethnic cohort free of known CVD disease at baseline, participants with complete ABI assessment were followed for incident CVD events, CVD mortality and all-cause mortality. ABI was assessed as categories: low (≤0.9), borderline (0.9-1.0), low-normal (1.0-1.1), normal (1.1-1.4) and high (≥1.4) and continuously using ALT-ABI. Leg symptoms were assessed with the San Diego Claudication Questionnaire. We used cox models to assess associations between ALT-ABI and outcomes adjusting for age, gender, race/ethnicity, ASCVD risk score and leg symptoms. Results: Of the 6,669 participants with complete ABI measures, the mean ALT-ABI was 1.03 +/- 0.12 versus ABI-TRAD of 1.10 +/- 0.11. The mean age of participants was 62 years and 1,625 (24.4%) reported some type of leg pain with walking. At a median follow up of 14.2 years, 1,214 deaths, 657 CVD events, and 288 CVD-specific deaths had occurred. Of the 824 individuals with low ALT-ABI, 581 (70.5%) had an ABI > 0.9 using ABI-TRAD. As seen in the Table, lower values and categories of ALT-ABI were associated with increased risk of CVD events, CVD and all-cause mortality. Conclusions: Using ALT-ABI identified more individuals with an ABI ≤ 0.9. The ALT-ABI is significantly associated with CVD outcomes, even in asymptomatic individuals. Significant risk increases were present even in those with a low-normal ALT-ABI. While clinical guidelines recommend further workup and risk reduction in individuals with leg symptoms and an ABI-TRAD ≤ 0.9, this method of ABI calculation and cutoff may misidentify individuals at-risk for adverse CV outcomes.

Background The association between sugar-sweetened beverage (SSB) consumption and colorectal cancer (CRC) risk remains unclear and published data are limited. Methods The analytic cohort included 99,798 women, free of cancer at baseline, from the California Teachers Study, a longitudinal cohort comprised of 133,477 female teachers and administrators who were active or recently retired members of the California State Teachers Retirement System in 1995. SSB consumption constituted caloric soft drinks, sweetened bottled waters and teas, and fruit drinks, derived from a self-administered food frequency questionnaire. Consumption was divided into four categories: Rare or never, >rare/never to <1 serving/week, ≥1 serving/week to <1 serving/day, and ≥1 serving/day. CRC endpoints were based on annual linkage with California Cancer Registry, defined as first diagnosis of CRC, and classified following the Surveillance, Epidemiology, and End Results Program coding system. Multivariable-adjusted Cox proportional hazards models were used to generate hazard ratios (HR) and 95% confidence intervals (CI) for assessing the association between SSB consumption and incident CRC. Results A total of 1,318 incident CRC cases were identified over 20 years of follow-up (54.5% proximal colon and 45.5% distal colorectum). Compared with rare/never consumers, the multivariable-adjusted HRs (95% CI) were 1.14 (0.86, 1.53) for total CRC; 1.11 (0.73, 1.68) for proximal colon; and 1.22 (0.80, 1.86) for distal colorectum cancers among women consuming ≥ 1 serving/day of SSBs. Conclusion SSBs were not significantly associated with CRC risk. The biological effects of high SSB consumption make it important to continue to evaluate whether SSBs are associated with CRC. Additionally, future studies should further assess SSBs in large, racial/ethnically diverse cohorts of males and females, and, if feasible, address changes in SSB consumption over time.

Reproductive health advantages have been reported among selected immigrants, but few studies have included new immigrants and refugees, nor simultaneously adjusted for socioeconomic, behavioral, and medical disparities. We examined the risk of preterm birth (PTB, < 37 weeks’ gestation) among singleton live births in San Diego County from 2007 to 2012. Multivariable regression was used to compare PTB (1) by nativity within racial/ethnic groups and (2) among immigrants compared to United States (US) born Whites, while adjusting for sociodemographic, behavioral, reproductive and medical variables. Among 230,878 singleton live births, overall PTB prevalence was highest among parturient women who were US-born Blacks (10.9%), Philippine (10.8%) and US-born Filipinas (10.7%), and US-born Asians (8.6%) despite differences in socioeconomic and maternal risk factors, and lowest among Somali (5.5%) migrants. Blacks born in Somalia or outside of the US, had significantly lower overall PTB prevalence compared to US-born Blacks (5.5% vs 7.6% vs 10.9%). Compared to US-born Whites, spontaneous PTB risk was significantly lower among Somali migrants (4.8% vs 3.7%, adjusted relative risk, aRR 0.7 [95% Confidence Intervals 0.5–0.9]), but higher among Philippine migrants (4.8% vs 7.7%, aRR 1.4 [1.3–1.6]). The strongest risk factor for overall PTB among nulliparous US-born Blacks was preexisting diabetes (aRR 3.81 [2.05–7.08]), and preexisting hypertension among Filipinas (aRR: 3.27 [2.36–4.54] and US-born Asians (aRR: 3.64 [1.61–8.24]). Black migrants had lower PTB prevalence compared to US-born Blacks, but this immigrant advantage was not observed in other racial/ethnic groups. Compared to US-born Whites, Somali migrants had significantly lower risk of spontaneous PTB while Filipinas had elevated risk.

Introduction: The ankle brachial index (ABI), a measure of peripheral artery disease (PAD), is associated with cardiovascular disease (CVD) events and mortality. However, analyses traditionally onl...

Obesity and type 2 diabetes disproportionately impact U.S. racial and ethnic minority communities and low-income populations. Improvements in implementing efficacious interventions to reduce the incidence of type 2 diabetes are underway (i.e., the National Diabetes Prevention Program), but challenges in effectively scaling-up successful interventions and reaching at-risk populations remain. In October 2017, the National Institutes of Health convened a workshop to understand how to (1) address socioeconomic and other environmental conditions that perpetuate disparities in the burden of obesity and type 2 diabetes; (2) design effective prevention and treatment strategies that are accessible, feasible, culturally relevant, and acceptable to diverse population groups; and (3) achieve sustainable health improvement approaches in communities with the greatest burden of these diseases. Common features of guiding frameworks to understand and address disparities and promote health equity were described. Promising research directions were identified in numerous areas, including study design, methodology, and core metrics; program implementation and scalability; the integration of medical care and social services; strategies to enhance patient empowerment; and understanding and addressing the impact of psychosocial stress on disease onset and progression in addition to factors that support resiliency and health.

Type 2 diabetes prevalence is rising rapidly in Southeast Asia (SEA) where urbanization and adoption of 'western' behavioral lifestyles are attributed as predominant risk factors. The Southeast Asian diaspora to the United States has resulted in a sizable portion of migrant and US born SEAs, with approximately 4 million Filipino Americans, 2 million Vietnamese-Americans, Cambodians (330,000), and Thai (300,000) as the most populous. Their longer exposure to a western lifestyle and participation in clinical studies with other racial/ethnic groups, provide opportunities to evaluate etiologic factors which might inform trends and intervention opportunities among residents of Southeast Asia. Epidemiologic studies in the US have identified higher T2D prevalence among Filipinos (16.1%) compared to groups perceived to be at highest risk for T2D, namely Latinos (14.0%), Black (13.7%), and Native Americans (13.4%), while SEAs (including Burmese, Cambodian, Indonesian, Laotian, Malaysian, and Thai, 10.5%) and Vietnamese (9.9%) had higher T2D risk compared to Whites (7.7%), despite their absence of general obesity. Asian-Americans, including SEAs, East and South Asians, collectively have higher rates of undiagnosed T2D compared to other racial/ethnic groups in the US. Almost half (44%) of Filipinos with newly diagnosed T2D have isolated post-challenge hyperglycemia and will remain undiagnosed if current screening practices remain limited to measures of glycosylated hemoglobin and fasting plasma glucose. The University of California San Diego Filipino Health Study found excess visceral adipose tissue accumulation, low ratio of muscle to total abdominal mass area, low adiponectin concentration, multiparity (≥ 6 live births), and sleep insufficiency (<7 hours) to be unique T2D risk factors among Filipino-American women, even after adjusting for established T2D risk factors including hypertension and parental history of T2D. Social determinants such as low educational attainment (less than college completion), and sustained social disadvantage during childhood and adulthood were independently associated with T2D risk. Gestational diabetes is a known risk factor for future T2DM among women; Northern California data shows that following Asian Indians, gestational diabetes was highest among Filipina and SEA parturients, who had twice the GDM prevalence as Black, Hispanic, and White women. Identification of novel T2D risk factors among SEAs may guide early diagnosis, inform pathophysiology, and identify unique opportunities for T2D prevention and management.