Dietary inflammation score is associated with perceived stress, depression, and cardiometabolic health risk factors among a young adult cohort of women.

BACKGROUND AND AIMS: One of the most pressing issues in the field of cardiometabolic disease is the growing co-occurrence of poor mental health. A whole foods-based, hypothesis-driven dietary inflammation score (DIS) was created to better understand the association between dietary patterns, inflammation, and physiological health. However, this diet quality scoring method has not been observed in young adults, nor has its association with mental health been observed. This study 1) examined differences in cardiometabolic health measures by dietary inflammation score (DIS) tertiles and 2) examined the association between DIS and psychosocial stress variables, perceived stress, and depression. METHODS: Psychosocial and food frequency questionnaires, demographics, anthropometrics, and clinical measures were collected from sixty-two metabolically healthy African American and European American females, ages 18-45, from 2014 to 2016 in Birmingham, AL. Analysis of Variance was used to observe differences in all cardiometabolic variables by DIS tertile. Linear regression was used to observe the relationship between independent, continuous variable DIS and dependent variables, depression, and perceived stress. RESULTS: There were significant differences between DIS tertiles for cardiometabolic and psychosocial stress measures. DIS was significantly positively associated with depression after controlling for body fat percentage (P = 0.003) and education, income, and race (P = 0.01). DIS was significantly associated with perceived stress after controlling for body fat percentage (P = 0.0004), and education, income, and race (P = 0.0005). CONCLUSION: This study is significant for its contribution in understanding how cardiometabolic health differs by DIS tertile, and how dietary inflammation scores are associated with depression and perceived stress among young adult women.

Differences in the Association of Select Dietary Measures With Risk of Incident Type 2 Diabetes.

OBJECTIVE: To evaluate associations between a broad range of approaches to classifying diet and incident type 2 diabetes in the REasons for Geographic And Racial Differences in Stroke (REGARDS) study. RESEARCH DESIGN AND METHODS: This study included 8,750 Black and White adults without diabetes at baseline. Diabetes was defined according to fasting glucose ≥70 mmol/L, random glucose ≥111 mmol/L, or use of diabetes medications. The exposures were diet scores for Mediterranean and Dietary Approaches to Stop Hypertension (DASH) diets and Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND), dietary inflammatory index (DII), dietary inflammation score (DIS), and empirical dietary patterns (plant-based and Southern) determined using data collected with use of the Block98 food-frequency questionnaire. Modified Poisson regression was used to assess association of dietary measures with risk of incident type 2 diabetes, with models adjusted for total energy intake, demographics, lifestyle factors, and waist circumference. RESULTS: There were 1,026 cases of incident type 2 diabetes during follow-up (11.7%). Adherence to the Southern dietary pattern was most strongly associated with risk of incident type 2 diabetes after adjustment for demographics and lifestyle (quintile [Q]5 vs. lowest Q1: risk ratio [RR] 1.95; 95% CI 1.57, 2.41). Of the diet scores, DIS (Q5 vs. Q1 RR 1.41) and MIND (Q1 vs. Q5 RR 1.33), demonstrated anti-inflammatory diets, had strongest associations with lower diabetes incidence. CONCLUSIONS: We found associations of several dietary approaches with incident type 2 diabetes. Investigation into mechanisms driving the association with the Southern dietary pattern is warranted. Further research into use of DIS, DII, and MIND diet score should be considered for dietary recommendations for diabetes prevention.

Biomarkers as MEDiators of racial disparities in risk factors (BioMedioR): Rationale, study design, and statistical considerations.

PURPOSE: Relative to White adults, Black adults have a substantially higher prevalence of hypertension and diabetes, both key risk factors for stroke, cardiovascular disease, cognitive impairment, and dementia. Blood biomarkers have shown promise in identifying contributors to racial disparities in many chronic diseases. METHODS: We outline the study design and related statistical considerations for a nested cohort study, the Biomarker Mediators of Racial Disparities in Risk Factors (BioMedioR) study, within the 30,239-person biracial REasons for Geographic And Racial Differences in Stroke (REGARDS) study (2003-present). Selected biomarkers will be assessed for contributions to racial disparities in risk factor development over median 9.4 years of follow-up, with initial focus on hypertension, and diabetes. Here we outline study design decisions and statistical considerations for the sampling of 4,400 BioMedioR participants. RESULTS: The population for biomarker assessment was selected using a random sample study design balanced across race and sex to provide the optimal opportunity to describe association of biomarkers with the development of hypertension and diabetes. Descriptive characteristics of the BioMedioR sample and analytic plans are provided for this nested cohort study. CONCLUSIONS: This nested biomarker study will examine pathways with the target to help explain racial differences in hypertension and diabetes incidence.

Health care experiences during the COVID-19 pandemic by race and social determinants of health among adults age ≥ 58 years in the REGARDS study.

BACKGROUND: Understanding health care experiences during the COVID-19 pandemic may provide insights into patient needs and inform policy. The objective of this study was to describe health care experiences by race and social determinants of health. METHODS: We conducted a telephone survey (July 6, 2020-September 4, 2021) among 9492 Black and White participants in the longitudinal REasons for Geographic And Racial Differences in Stroke cohort study, age 58-105 years, from the continental United States. Among participants with symptoms of COVID-19, outcomes were: 1. Sought care or advice for the illness; 2. Received a SARS-CoV-2 test for the illness; and 3. Tested positive. Among participants without symptoms of COVID-19, outcomes were: 1. Wanted a test; 2. Wanted and received a test; 3. Did not want but received a test; and 4. Tested positive. We examined these outcomes overall and in subgroups defined by race, household income, marital status, education, area-level poverty, rural residence, Medicaid expansion, public health infrastructure ranking, and residential segregation. RESULTS: The average age of participants was 76.8 years, 36% were Black, and 57% were female. Among participants with COVID-19 symptoms (n = 697), 74% sought care or advice for the illness, 50% received a SARS-CoV-2 test, and 25% had a positive test (50% of those tested). Among participants without potential COVID-19 symptoms (n = 8795), 29% wanted a SARS-CoV-2 test, 22% wanted and received a test, 8% did not want but received a test, and 1% tested positive; a greater percentage of participants who were Black compared to White wanted (38% vs 23%, p < 0.001) and received tests (30% vs 18%, p < 0.001) and tested positive (1.4% vs 0.8%, p = 0.005). CONCLUSIONS: In this national study of older US adults, many participants with potential COVID-19 symptoms and asymptomatic participants who desired testing did not receive COVID-19 testing.

Diet pattern may affect fasting insulin in a large sample of black and white adults.

OBJECTIVE: Dietary modification of insulin resistance may be a strategy for reducing chronic disease. For this study, we tested the hypothesis that higher fasting insulin, a marker for insulin resistance, would be related to diet patterns with a high proportion of carbohydrates, those with a high glycemic index, and those characterized by added sugar and processed starches. STUDY DESIGN: Data were analyzed on 13,528 nondiabetic participants of the REasons for Geographic and Ethnic Differences in Stroke (REGARDS), an observational study of adults aged ≥45 years residing in 1855 counties across the continental USA. Information on habitual diet was collected using the Block 98 Food Frequency Questionnaire. Percent energy from carbohydrate, glycemic index, and glycemic load were determined for each participant, as well as adherence to five established diet patterns. Logistic regression was used to examine associations of baseline diet characteristics with odds for high fasting insulin [quartiles 3 and 4 (median = 98.9 pmol/L) vs. quartile 1], after adjusting for covariates. RESULT: Greater percent carbohydrate, glycemic index, and glycemic load, and adherence to sweets/fat and southern diet patterns, was associated with greater odds for high insulin (P for trend <0.05 to <0.0001), whereas adherence to the plant-based and alcohol/salad patterns was associated with lower odds for high insulin (P for linear trend <0.0001). CONCLUSION: In conclusion, diet pattern is associated with fasting insulin. Future studies are needed to determine if diet interventions designed to lower insulin, perhaps based on the patterns identified in this study, can improve risk for chronic disease.

Depressive symptoms, perceived stress, and metabolic health: The REGARDS study.

OBJECTIVE: To describe the relationship between metabolic health parameters and depressive symptoms and perceived stress, and whether the co-occurrence of these two psychological stressors has an additive influence on metabolic dysregulation in adults at different levels of body mass index (BMI) without diabetes. METHODS: Participants without diabetes (N = 20,312) from the population-based REasons for Geographic And Racial Differences in Stroke (REGARDS) study (recruited between 2003-2007) who had a body mass index (BMI) ≥ 18.5 kg/m2 were included in this cross-sectional analysis. Mean age of sample was 64.4 years, with 36% African American, and 56% women. Depressive symptoms and perceived stress were measured using brief versions of the Center for Epidemiologic Studies Depression (CES-D-4 item) questionnaire and Cohen Perceived Stress Scale (PSS), respectively. Metabolic health parameters included waist circumference, blood pressure (systolic and diastolic), low- and high-density lipoprotein (LDL, HDL) cholesterol, triglycerides, fasting glucose, and high sensitivity C-reactive protein (hs-CRP). Sequentially adjusted general linear regression models (GLM) for each metabolic parameter were used to assess the association between having both elevated depressive symptoms and stress, either of these psychological risk factors, or none with all analyses stratified by BMI category (i.e., normal, overweight, and obesity). RESULTS: The presence of elevated depressive symptoms and/or perceived stress was generally associated with increased waist circumference, higher CRP, and lower HDL. The combination of depressive symptoms and perceived stress, compared to either alone, was typically associated with poorer metabolic health outcomes. However, sociodemographic and lifestyle factors generally attenuated the associations between psychological factors and metabolic parameters. CONCLUSIONS: Elevated depressive symptoms in conjunction with high levels of perceived stress were more strongly associated with several parameters of metabolic health than only one of these psychological constructs in a large, diverse cohort of adults. Findings suggest that healthy lifestyle factors may attenuate the association between psychological distress and metabolic health impairment.