Comprehensive Management of Cardiovascular Risk Factors for Adults With Type 2 Diabetes: A Scientific Statement From the American Heart Association.

Cardiovascular disease remains the leading cause of death in patients with diabetes. Cardiovascular disease in diabetes is multifactorial, and control of the cardiovascular risk factors leads to substantial reductions in cardiovascular events. The 2015 American Heart Association and American Diabetes Association scientific statement, "Update on Prevention of Cardiovascular Disease in Adults With Type 2 Diabetes Mellitus in Light of Recent Evidence," highlighted the importance of modifying various risk factors responsible for cardiovascular disease in diabetes. At the time, there was limited evidence to suggest that glucose-lowering medications reduce the risk of cardiovascular events. At present, several large randomized controlled trials with newer antihyperglycemic agents have been completed, demonstrating cardiovascular safety and reduction in cardiovascular outcomes, including cardiovascular death, myocardial infarction, stroke, and heart failure. This AHA scientific statement update focuses on (1) the evidence and clinical utility of newer antihyperglycemic agents in improving glycemic control and reducing cardiovascular events in diabetes; (2) the impact of blood pressure control on cardiovascular events in diabetes; and (3) the role of newer lipid-lowering therapies in comprehensive cardiovascular risk management in adults with diabetes. This scientific statement addresses the continued importance of lifestyle interventions, pharmacological therapy, and surgical interventions to curb the epidemic of obesity and metabolic syndrome, important precursors of prediabetes, diabetes, and comorbid cardiovascular disease. Last, this scientific statement explores the critical importance of the social determinants of health and health equity in the continuum of care in diabetes and cardiovascular disease.

Physician Perspectives on Responding to Clinician-Perpetuated Interpersonal Racism Against Black Patients with Serious Illness.

BACKGROUND: Racism negatively affects clinical outcomes in Black patients, but uncertainty remains among physicians regarding how to address interpersonal anti-Black racism incidences involving them to facilitate racial healing and promote accountability. OBJECTIVE: Elicit physician perspectives on addressing concerns from Black patients about interpersonal racism involving them or their team. PARTICIPANTS: Twenty-one physician subspecialists at an urban academic medical center. APPROACH: We conducted one-on-one semi-structured interviews to help inform the development of a clinician-facing component of a program to address the distress of racism experienced by Black patients with serious illness. We asked clinicians to describe experiences discussing racism with patients and identify additional resources to support these conversations. MAIN MEASURES: Physician perspectives, including barriers and facilitators, to promote racial healing and clinician accountability when discussing clinician-perpetuated interpersonal racism with Black patients. KEY RESULTS: Of the 21 participating physicians, 67% were women with a mean age of 44.2 years and mean of 10.8 years of experience as an attending physician. Four identified as Asian, three identified as Black, and 14 identified as White. Participants largely felt unprepared to discuss racism with their patients, especially if the harm was caused by them or their team. Participants felt patients should be given tools to discuss concerns about racism with their clinicians, but worried about adding additional burdens to Black patients to call out racism. Participants believed programs and processes with both patient- and clinicians-facing components had the potential to empower patients while providing resources and tools for clinicians to engage in these highly sensitive discussions without perpetuating more harm. CONCLUSIONS: Addressing and improving communication about interpersonal racism in clinical settings are challenging. Dual-facing programs involving patients and clinicians may help provide additional resources to address experiences of interpersonal racism and hold clinicians accountable.

Association of Serum Aldosterone and Plasma Renin Activity With Ambulatory Blood Pressure in African Americans: The Jackson Heart Study.

BACKGROUND: The renin-angiotensin-aldosterone system (RAAS) is an important driver of blood pressure (BP), but the association of the RAAS with ambulatory BP (ABP) and ABP monitoring phenotypes among African Americans has not been assessed. METHODS: ABP and ABP monitoring phenotypes were assessed in 912 Jackson Heart Study participants with aldosterone and plasma renin activity (PRA). Multivariable linear and logistic regression analyses were used to analyze the association of aldosterone and PRA with clinic, awake, and asleep systolic BP and diastolic BP (DBP) and ABP monitoring phenotypes, adjusting for important confounders. RESULTS: The mean age of participants was 59±11 years and 69% were female. In fully adjusted models, lower log-PRA was associated with higher clinic, awake, and asleep systolic BP and DBP (all P<0.05). A higher log-aldosterone was associated with higher clinic, awake, and asleep DBP (all P<0.05). A 1-unit higher log-PRA was associated with lower odds of daytime hypertension (odds ratio [OR] 0.59 [95% CI, 0.49-0.71]), nocturnal hypertension (OR, 0.68 [95% CI, 0.58-0.79]), daytime and nocturnal hypertension (OR, 0.59 [95% CI, 0.48-0.71]), sustained hypertension (OR, 0.52 [95% CI, 0.39-0.70]), and masked hypertension (OR 0.75 [95% CI, 0.62-0.90]). A 1-unit higher log-aldosterone was associated with higher odds of nocturnal hypertension (OR, 1.38 [95% CI, 1.05-1.81]). Neither PRA nor aldosterone was associated with percent dipping, nondipping BP pattern, or white-coat hypertension. Patterns for aldosterone:renin ratio were similar to patterns for PRA. CONCLUSIONS: Suppressed renin activity and higher aldosterone:renin ratios were associated with higher systolic BP and DBP in the office and during the awake and asleep periods as evidenced by ABP monitoring. Higher aldosterone levels were associated with higher DBP, but not systolic BP, in the clinic and during the awake and asleep periods. Further clinical investigation of novel and approved medications that target low renin physiology such as epithelial sodium channel inhibitors and mineralocorticoid receptor antagonists may be paramount in improving hypertension control in African Americans.

Dysglycemia and incident heart failure among blacks: The jackson heart study.

BACKGROUND: We aimed to investigate the associations of glycemic markers (hemoglobin A1C [HbA1C], fasting plasma glucose [FPG] and glycemic status [normoglycemia, prediabetes and diabetes]) with incident heart failure (HF) and its subtypes, among Blacks. METHODS: We included 2,290 community-dwelling Blacks (64% women, mean age 58 years) without prevalent HF from the Jackson Heart Study who attended the second exam (2005 - 2008). The associations between glycemic markers and incident HF (and subtypes including HF with preserved ejection fraction [HFpEF] and reduced ejection fraction [HFrEF]) were evaluated using Cox proportional hazards regression models, adjusting for risk factors and coronary heart disease. RESULTS: There were 119 incident HF events (48 HFpEF, 58 HFrEF, and 13 unclassified HF events) over a median follow-up of 10.5 years. Higher levels of HbA1C (HR per SD increment, 1.30; 95% CI 1.12, 1.51) and FPG (HR per SD increment FPG: 1.32; 95% CI: 1.17, 1.48) were associated with a higher risk of incident HF. Compared to normal glycemia, diabetes status was associated with a higher risk of incident HF (HR: 1.24; 95%CI: 1.02, 2.05). HbA1C was significantly associated with higher risks of HFpEF (HR per SD increment: 1.41, 95% CI: 1.18, 1.69) and HFrEF (HR per SD increment: 1.32; 95% CI: 1.12, 1.56). FPG was significantly associated with higher risk of HFpEF (HR per SD increment: 1.35, 95% CI: 1.14, 1.62) but not HFrEF (HR per SD increment: 1.12; 95% CI: 0.53, 2.35). CONCLUSIONS: Among community-dwelling Blacks, higher levels of glycemic markers were associated with higher risk of HF subtypes.

Glycemic Markers and Heart Failure Subtypes: The Multi-Ethnic Study of Atherosclerosis (MESA).

BACKGROUND: Although diabetes increases heart failure (HF) risk, it is unclear how various dysglycemia markers (hemoglobin A1C [HbA1C], fasting plasma glucose [FPG], homeostasis model assessment of insulin resistance, and fasting insulin) are associated with HF subtypes (HF with preserved ejection fraction [HFpEF] and HF with reduced ejection fraction [HFrEF]). We assessed the relation of markers of dysglycemia and risks of HFpEF and HFrEF. METHODS AND RESULTS: We included 6688 adults without prevalent cardiovascular disease who attended the first MESA visit (2000-2002) and were followed for incident hospitalized HF (HFpEF or HFrEF). Association of glycemic markers and status (normoglycemia, prediabetes, diabetes) with HFpEF and HFrEF were evaluated using adjusted Cox models. Over a median follow-up of 14.9 years, there were 356 HF events (145 HFpEF, 173 HFrEF, and 38 indeterminate HF events). Diabetes status conferred higher risks of HFpEF (hazard ratio [HR] 1.85, 95% confidence interval [CI] 1.57-2.68) and HFrEF (HR 2.02, 95% CI 1.38-2.97) compared with normoglycemia. Higher levels of FPG (≥126 mg/dL) and HbA1C (≥6.5%) were associated with similarly higher risks of HFpEF (HR for FPG 1.96, 95% CI 1.21-3.17; HR for HbA1C 2.00, 95% CI 1.20-3.31) and HFrEF (HR for FPG 1.84, 95% CI 1.18-2.88; HR for HbA1C 1.99, 95% CI 1.28-3.09) compared with reference values. Prediabetic range HbA1C (5.7%-6.4%) or FPG (100%-125 mg/dL), homeostasis model assessment of insulin resistance, and fasting insulin were not significantly associated with HFpEF or HFrEF. CONCLUSIONS: Among community-dwelling individuals, HbA1C and FPG in the diabetes range were each associated with higher risks of HFpEF and HFrEF, with similar magnitudes of their associations. LAY ABSTRACT: Heart failure (HF) has 2 major subtypes (the heart's inability to pump or to fill up). Diabetes is known to increase HF risk, but its effects and that of markers of high glucose levels (fasting blood glucose and hemoglobin A1C) on the occurrence of HF subtypes remains unknown. Among 6688 adults without known cardiovascular disease followed for nearly 15 years, diabetes conferred significantly higher risks of both HF types, compared with those with normal blood glucose levels. Higher levels of fasting blood glucose and hemoglobin A1C were similarly associated with higher risks of both types of HF.

High-density lipoprotein-cholesterol and incident type 2 diabetes mellitus among African Americans: The Jackson Heart Study.

AIMS: Accruing evidence suggests an association between high-density lipoprotein cholesterol (HDL-C) and incident diabetes. However, there is a paucity of data on the link between HDL-C and diabetes, especially among African Americans (AAs). We aimed to assess the association of HDL-C and its fractions with incident type 2 diabetes among AAs. METHODS: We included Jackson Heart Study participants who attended visit 1 (2001-2004), were free from diabetes and were not treated with lipid-modifying medications. Incident diabetes was assessed at two subsequent-yearly visits (2 and 3). We cross-sectionally assessed the association of HDL-C and insulin resistance (IR) using multivariable linear models. We prospectively assessed the association of HDL-C and its fractions with incident diabetes using multivariable Cox regression models. RESULTS: Among 2829 participants (mean age: 51.9 ± 12.4 years, 63.9% female), 487 participants (17%) developed new-onset diabetes, over a median follow-up of 8 years. In adjusted models, a higher HDL-C concentration was associated with a lower odds of IR (odds ratio [OR] per standard deviation [SD] increment: OR 0.56 [95% confidence interval, CI 0.50-0.63], p < 0.001). In adjusted models, a higher HDL-C concentration was associated with a lower risk of diabetes (HR per SD increment: 0.78 [95% CI 0.71, 0.87], p < 0.001; HR for highest vs. the lowest tertile of HDL-C was 0.56 [95% CI: 0.44, 0.71], p < 0.001). CONCLUSION: In a sample of African-American adults not on any lipid-modifying therapy, high HDL-C concentrations were inversely associated with the risk of new-onset diabetes. These findings suggest a strong link between HDL-C metabolism and glucose regulation.

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

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

Body mass index in early adulthood and dementia in late life: Findings from a pooled cohort.

INTRODUCTION: To examine the independent association of body mass index (BMI) in early adulthood with dementia incidence among men and women. METHODS: We studied 5104 older adults from the Cardiovascular Health Study (CHS) and the Health, Aging, and Body Composition (Health ABC) study. We imputed early adulthood and midlife BMI using a pooled parent cohort with complete adult lifespan coverage and previously established methods. Dementia was ascertained using criteria such as neuropsychological test battery, medical records, and dementia-related drug use. Pooled logistic regression (PLR) models were used. RESULTS: Compared to women with normal BMI in early adulthood, the odds of dementia were higher among both overweight (odds ratio [OR] = 1.8; 95% confidence interval [CI] = 1.31 to 2.54) and obese (OR = 2.45; 95% CI = 1.47 to 4.06) women, independent of mid- and late-life BMI. Similar relationship was observed in men. CONCLUSIONS: With the growing obesity epidemic among US adults, efforts aimed at reducing dementia may need to begin obesity prevention and treatment early in the life course.

Congregational COVID-19 Conversations: Utilization of Medical-Religious Partnerships During the SARS-CoV-2 Pandemic.

Over the last 12-months during the pandemic caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), the Centers for Disease Control and Prevention (CDC) have issued public health instructions with the hope of mitigating the spread of the virus. Through existing relationships established by an academic hospital, we established weekly community conference calls to disseminate such critical information on the pandemic and allow community leaders to discuss struggles and successes. From these calls, we were able to collaborate in a more intimate manner with faith-based organizations, whereby we emphasized and planned the role they could undertake during the pandemic. Such emphasis was made between our medical institution and various faith-based organizations through meetings titled "Congregational COVID-19 Conversations." Over the past 12-months, we held virtual meetings with 38 faith-based organizations: 15 Christian congregations, 21 Jewish synagogues, and 2 Islamic masjids. We describe in detail in this report a narrative summary of the meetings. From these meetings, we discussed several COVID-19-related themes that included how to have their place of worship disseminate public health messaging, aid in preparing buildings for public worship, and insight into preparing their regions for aid in both COVID-19 testing and for potential SARS-CoV-2 vaccine sites. This medical-religious partnership has proven feasible and valuable during the pandemic and warrants emphasis in that it has the potential to serve a vital role in mitigating COVID-19-related disparities in certain communities, as well as potentially ending the COVID-19 pandemic completely.

Common sampling and modeling approaches to analyzing readmission risk that ignore clustering produce misleading results.

BACKGROUND: There is little consensus on how to sample hospitalizations and analyze multiple variables to model readmission risk. The purpose of this study was to compare readmission rates and the accuracy of predictive models based on different sampling and multivariable modeling approaches. METHODS: We conducted a retrospective cohort study of 17,284 adult diabetes patients with 44,203 discharges from an urban academic medical center between 1/1/2004 and 12/31/2012. Models for all-cause 30-day readmission were developed by four strategies: logistic regression using the first discharge per patient (LR-first), logistic regression using all discharges (LR-all), generalized estimating equations (GEE) using all discharges, and cluster-weighted (CWGEE) using all discharges. Multiple sets of models were developed and internally validated across a range of sample sizes. RESULTS: The readmission rate was 10.2% among first discharges and 20.3% among all discharges, revealing that sampling only first discharges underestimates a population's readmission rate. Number of discharges was highly correlated with number of readmissions (r = 0.87, P < 0.001). Accounting for clustering with GEE and CWGEE yielded more conservative estimates of model performance than LR-all. LR-first produced falsely optimistic Brier scores. Model performance was unstable below samples of 6000-8000 discharges and stable in larger samples. GEE and CWGEE performed better in larger samples than in smaller samples. CONCLUSIONS: Hospital readmission risk models should be based on all discharges as opposed to just the first discharge per patient and utilize methods that account for clustered data.

Community Calls: Lessons and Insights Gained from a Medical-Religious Community Engagement During the COVID-19 Pandemic.

During the pandemic caused by the severe acute respiratory syndrome coronavirus-2, public health instructions were issued with the hope of curbing the virus' spread. In an effort to assure accordance with these instructions, equitable strategies for at-risk and vulnerable populations and communities are warranted. One such strategy was our community conference calls, implemented to disseminate information on the pandemic and allow community leaders to discuss struggles and successes. Over the first 6 weeks, we held 12 calls, averaging 125 (standard deviation 41) participants. Participants were primarily from congregations and faith-based organizations that had an established relationship with the hospital, but also included school leaders, elected officials, and representatives of housing associations. Issues discussed included reasons for quarantining, mental health, social isolation, health disparities, and ethical concerns regarding hospital resources. Concerns identified by the community leaders as barriers to effective quarantining and adherence to precautions included food access, housing density, and access to screening and testing. Through the calls, ways to solve such challenges were addressed, with novel strategies and resources reaching the community. This medical-religious resource has proven feasible and valuable during the pandemic and warrants discussions on reproducing it for other communities during this and future infectious disease outbreaks.

Racial/ethnic differences in the burden of type 2 diabetes over the life course: a focus on the USA and India.

Type 2 diabetes is a common disease worldwide, but its prevalence varies widely by geographical region and by race/ethnicity. This review summarises differences in the frequencies of type 2 diabetes according to race, ethnicity, socioeconomic position, area of residence and environmental toxins. Type 2 diabetes susceptibility often begins early in life, starting with genetic susceptibility at conception and continuing in later life, via in utero, childhood and adult exposures. Early-life factors may lead to overt type 2 diabetes in childhood or in later life, supporting the concept of developmental origins of health and disease. The causes of the racial/ethnic differences in incidence of type 2 diabetes are not well understood. Specifically, the relative contributions of genetic and environmental factors to such differences are largely unknown. With a few exceptions in isolated populations, there is little evidence that differences in frequencies of known type 2 diabetes susceptibility genetic alleles account for racial/ethnic differences, although the search for genetic susceptibility has not been uniform among the world's racial/ethnic groups. In the USA, race/ethnicity is associated with many other risk factors for type 2 diabetes, including being overweight/obese, diet and socioeconomic status. Some studies suggest that some of these factors may account for the race/ethnic differences in prevalence of type 2 diabetes, although there is inadequate research in this area. A better understanding of the impact of these factors on type 2 diabetes risk should lead to more effective prevention and treatment of this disease. This has not yet been achieved but should be a goal for future research.

Independent associations between a metabolic syndrome severity score and future diabetes by sex and race: the Atherosclerosis Risk In Communities Study and Jackson Heart Study.

AIMS/HYPOTHESIS: The study aimed to assess for an association between the degree of severity of the metabolic syndrome and risk of type 2 diabetes beyond that conferred by the individual components of the metabolic syndrome. METHODS: We assessed HRs for an Adult Treatment Panel III (ATP-III) metabolic syndrome score (ATP-III MetS) and a sex- and race-specific continuous metabolic syndrome severity z score related to incident diabetes over a median of 7.8 years of follow-up among participants of two observational cohorts, the Atherosclerosis Risk in Communities study (n = 10,957) and the Jackson Heart Study (n = 2137). RESULTS: The ATP-III MetS had an HR for incident diabetes of 4.36 (95% CI 3.83, 4.97), which was attenuated in models that included the individual metabolic syndrome components. By contrast, participants in the fourth quartile of metabolic syndrome severity (compared with the first quartile) had an HR of 17.4 (95% CI 12.6, 24.1) for future diabetes; in models that also included the individual metabolic syndrome components, this remained significant, with an HR of 3.69 (95% CI 2.42, 5.64). There was a race × metabolic syndrome interaction in these models such that HR was greater for black participants (5.30) than white participants (2.24). When the change in metabolic syndrome severity score was included in the hazard models, this conferred a further association, with changes in metabolic syndrome severity score of ≥0.5 having a HR of 2.66 compared with changes in metabolic syndrome severity score of ≤0. CONCLUSIONS/INTERPRETATION: Use of a continuous sex- and race-specific metabolic syndrome severity z score provided an additional prediction of risk of diabetes beyond that of the individual metabolic syndrome components, suggesting an added risk conferred by the processes underlying the metabolic syndrome. Increases in this score over time were associated with further risk, supporting the potential clinical utility of following metabolic syndrome severity over time.

Evaluation of the modified FINDRISC to identify individuals at high risk for diabetes among middle-aged white and black ARIC study participants.

OBJECTIVE: To evaluate a modified Finnish Diabetes Risk Score (FINDRISC) for predicting the risk of incident diabetes among white and black middle-aged participants from the Atherosclerosis Risk in Communities (ARIC) study. RESEARCH DESIGN AND METHODS: We assessed 9754 ARIC cohort participants who were free of diabetes at baseline. Logistic regression and receiver operator characteristic (ROC) curves were used to evaluate a modified FINDRISC for predicting incident diabetes after 9 years of follow-up, overall and by race/gender group. The modified FINDRISC used comprised age, body mass index, waist circumference, blood pressure medication and family history. RESULTS: The mean FINDRISC (range, 2 [lowest risk] to 17 [highest risk]) for black women was higher (9.9 ± 3.6) than that for black men (7.6 ± 3.9), white women (8.0 ± 3.6) and white men (7.6 ± 3.5). The incidence of diabetes increased generally across deciles of FINDRISC for all 4 race/gender groups. ROC curve statistics for the FINDRISC showed the highest area under the curve for white women (0.77) and the lowest for black men (0.70). CONCLUSIONS: We used a modified FINDRISC to predict the 9-year risk of incident diabetes in a biracial US population. The modified risk score can be useful for early screening of incident diabetes in biracial populations, which may be helpful for early interventions to delay or prevent diabetes.

The association of ideal cardiovascular health with incident type 2 diabetes mellitus: the Multi-Ethnic Study of Atherosclerosis.

AIMS/HYPOTHESIS: Levels of ideal cardiovascular health (ICH) and incident type 2 diabetes mellitus have not been examined in a multiethnic population. We assessed the total and race/ethnicity-specific incidence of diabetes based on American Heart Association (AHA) ICH components. METHODS: Incident diabetes was assessed among 5341 participants in the Multi-Ethnic Study of Atherosclerosis without prevalent diabetes between 2002 and 2012. ICH components (total cholesterol, BP, dietary intake, tobacco use, physical activity and BMI) were assessed at baseline and participants were categorised as having ideal, intermediate or poor cardiovascular health, as defined by the AHA 2020 impact goals. We developed a scoring system based on the number of ICH components (0-1 'poor', 2-3 'intermediate', and ≥4 'ideal'). HRs were calculated using Cox models. RESULTS: During a median follow-up of 11.1 years, we identified 587 cases of incident diabetes. After multivariable adjustment, participants with 2-3 and ≥4 ICH components vs 0-1 components had a 34% lower (HR 0.66; 95% CI 0.54, 0.80) and a 75% lower (HR 0.25; 95% CI 0.18, 0.35) diabetes incidence, respectively. There were significant differences by race/ethnicity: African-American and Hispanic-American participants with ≥4 ICH components had diabetes incidence rates per 1000 person-years of 5.6 (95% CI 3.1, 10.1) and 10.5 (95% CI 6.7, 16.4), respectively, compared with 2.2 (95% CI 1.3, 3.7) among non-Hispanic white Americans. CONCLUSIONS/INTERPRETATION: Meeting an increasing number of AHA 2020 impact goals for dietary intake, physical activity, smoking, BP, cholesterol and BMI was associated with a dose-dependent lower risk of diabetes with significant variation by race/ethnicity.

Job Strain and the Cortisol Diurnal Cycle in MESA: Accounting for Between- and Within-Day Variability.

Evidence of the link between job strain and cortisol levels has been inconsistent. This could be due to failure to account for cortisol variability leading to underestimated standard errors. Our objective was to model the relationship between job strain and the whole cortisol curve, accounting for sources of cortisol variability. Our functional mixed-model approach incorporated all available data-18 samples over 3 days-and uncertainty in estimated relationships. We used employed participants from the Multi-Ethnic Study of Atherosclerosis Stress I Study and data collected between 2002 and 2006. We used propensity score matching on an extensive set of variables to control for sources of confounding. We found that job strain was associated with lower salivary cortisol levels and lower total area under the curve. We found no relationship between job strain and the cortisol awakening response. Our findings differed from those of several previous studies. It is plausible that our results were unique to middle- to older-aged racially, ethnically, and occupationally diverse adults and were therefore not inconsistent with previous research among younger, mostly white samples. However, it is also plausible that previous findings were influenced by residual confounding and failure to propagate uncertainty (i.e., account for the multiple sources of variability) in estimating cortisol features.

Physical environment may modify the association between depressive symptoms and change in waist circumference: the multi-ethnic study of atherosclerosis.

BACKGROUND: Although the bidirectional association between depressive symptoms and adiposity has been recognized, the contribution of neighborhood factors to this relationship has not been assessed. OBJECTIVE: This study evaluates whether physical and social neighborhood environments modify the bidirectional relationship between depressive symptoms and adiposity (measured by waist circumference and body mass index). METHODS: Using data on 5,122 men and women (ages 45 to 84 years) from the Multi-Ethnic Study of Atherosclerosis (MESA) we investigated whether neighborhood physical (i.e., walking environment and availability of healthy food) and social (i.e., safety, aesthetics, and social coherence) environments modified the association between the following: (1) baseline elevated depressive symptoms (Center for Epidemiologic Study Depression Scale score ≥ 16) and change in adiposity (as measured by waist circumference and body mass index) and (2) baseline overweight/obesity (waist circumference > 102 cm for men and >88 cm for women, or body mass index ≥ 25 kg/m(2)) and change in depressive symptoms using multilevel models. Neighborhood-level factors were obtained from the MESA Neighborhood Study. RESULTS: A greater increase in waist circumference in participants with vs without elevated depressive symptoms was observed in those living in poorly-rated physical environments but not in those living in better-rated environments (interaction p = 0.045). No associations were observed with body mass index. Baseline overweight/obesity was not associated with change in depressive symptoms and there was no modification by neighborhood-level factors. CONCLUSIONS: Elevated depressive symptoms were associated with greater increase in waist circumference among individuals living in poorly-rated physical environments than in those in better-rated physical environments. No association was found between overweight/obesity and change in depressive symptoms.