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Few studies have examined long-term associations of walnut, other nut, and no nut consumption with cardiovascular disease (CVD) risk factors. Results from prospective studies with long-term follow-up can provide further evidence for dietary guideline messaging to consume nuts. Therefore, we examined the associations of walnut, other nut, and no nut consumption with diet quality and CVD risk factors over 30 years of follow-up.Data were analyzed from 3092 young adults enrolled in the Coronary Artery Risk Development in Young Adults (CARDIA) study. Dietary intake, including walnuts and other nuts, was assessed 3 times over 20 years. CVD risk factors were measured at multiple exams. General linear regression evaluated the associations of walnut, other nut, and no nut consumption with CVD risk factors over 30 years (Y30) of follow-up. The 20-year cumulative mean intake of walnuts (0.74 oz/d), other nuts (1.6 oz/d), or no nut consumption was differentially associated with HEI-2015 and CVD risk factors by Y30. Generally, walnut consumers had significantly higher HEI-2015, lower body mass index, waist circumference, blood pressure, and triglyceride concentration, and gained less weight since baseline than other nut consumers (p ≤ 0.05 for all). Further, walnut consumers had lower fasting blood glucose than no nut consumers (p ≤ 0.05).Study findings that walnut and other nut consumption was associated with better CVD risk factors and diet quality aligns with the 2020-2025 US. Dietary Guidelines for Americans recommendation to consume nuts, such as walnuts, within the context of a healthy diet.

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.

BACKGROUND: Low endogenous estrogen concentrations after menopause may contribute to higher oxidative stress and greater cardiovascular disease (CVD) risk. However, differences in oxidative stress between similarly aged premenopausal and postmenopausal women are not well-characterized on a population level. We hypothesized that urinary isoprostane concentrations, a standard measure of systemic oxidative stress, are higher in women who have undergone menopause compared to premenopausal women. METHODS AND RESULTS: We examined differences in urinary 8-isoprostane (iPF(2α)-III) and 2,3-dinor-8-isoprostane (iPF(2α)-III-M) indexed to urinary creatinine between 279 postmenopausal and 196 premenopausal women in the Coronary Artery Risk Development in Young Adults (CARDIA) study, using linear regression with progressive adjustment for sociodemographic factors and traditional CVD risk factors. Unadjusted iPF(2α)-III-M concentrations were higher among postmenopausal compared to premenopausal women (Median [25th, 75th percentile]: 1762 [1178, 2974] vs. 1535 [1067, 2462] ng/g creatinine; p = 0.01). Menopause was associated with 25.5% higher iPF(2α)-III-M (95% confidence interval [6.5–47.9]) adjusted for age, race, college education, and field center. Further adjustments for tobacco use (21.2% [2.9–42.6]) and then CVD risk factors (18.8% [0.1–39.6]) led to additional partial attenuation. Menopause was associated with higher iPF(2α)-III in Black but not White women. CONCLUSIONS: We conclude that postmenopausal women had higher oxidative stress, which may contribute to greater CVD risk. ClinicalTrials.gov Identifier: NCT00005130.

Dietary and lifestyle evolutionary discordance is hypothesised to play a role in the aetiology of CVD, including CHD and stroke. We aimed to investigate associations of a previously reported, total (dietary plus lifestyle) evolutionary-concordance (EC) pattern score with incident CVD, CHD and stroke. We used multivariable Cox proportional hazards regression to investigate associations of the EC score with CVD, CHD and stroke incidence among USA Black and White men and women ≥45 years old in the prospective REasons for Geographic and Racial Differences in Stroke study (2003–2017). The EC score comprised seven equally weighted components: a previously reported dietary EC score (using Block 98 FFQ data) and six lifestyle characteristics (alcohol intake, physical activity, sedentary behaviour, waist circumference, smoking history and social network size). A higher score indicates a more evolutionary-concordant dietary/lifestyle pattern. Of the 15 467 participants in the analytic cohort without a CVD diagnosis at baseline, 1563 were diagnosed with CVD (967 with CHD and 596 with stroke) during follow-up (median 11·0 years). Among participants in the highest relative to the lowest EC score quintile, the multivariable-adjusted hazards ratios and their 95 % CI for CVD, CHD and stroke were, respectively, 0·73 (0·62, 0·86; Ptrend < 0·001), 0·72 (0·59, 0·89; Ptrend < 0·001) and 0·76 (0·59, 0·98; Ptrend = 0·01). The results were similar by sex and race. Our findings support that a more evolutionary-concordant diet and lifestyle pattern may be associated with lower risk of CVD, CHD and stroke.

Background We examined whether the risk of incident atrial fibrillation (AF) in a large, biracial, prospective cohort is lower in participants who adhere to heart-healthy dietary patterns and higher in participants who adhere to less heart-healthy diets. Methods Between 2003 and 2007, the REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort study enrolled 30,239 Black and White Americans aged 45 years or older. Dietary patterns (convenience, plant-based, sweets, Southern, and alcohol and salads) and the Mediterranean diet score (MDS) were derived based on food frequency questionnaire data. The primary outcome was incident AF at the follow-up visit 2013–2016, defined by either electrocardiogram or self-reported medical history of a physician diagnosis. Results This study included 8977 participants (mean age 63 ± 8.3 years; 56% women; 30% Black) free of AF at baseline who completed the follow-up exam an average of 9.4 years later. A total of 782 incident AF cases were detected. In multivariable logistic regression analyses, neither the MDS score (odds ratio (OR) per SD increment = 1.03; 95% confidence interval (CI) 0.95–1.11) or the plant-based dietary pattern (OR per SD increment = 1.03; 95% CI 0.94–1.12) were associated with AF risk. Additionally, an increased AF risk was not associated with any of the less-healthy dietary patterns. Conclusions While specific dietary patterns have been associated with AF risk factors, our findings fail to show an association between diet patterns and AF development.

Background: Selenium may prevent colorectal cancer. However, several previous studies are small and few investigated the association between selenium and colorectal cancer among women whose selenium metabolism may differ from men. Furthermore, genetic variants in selenoenzymes may be associated with colorectal cancer risk.Methods: This nested case–control study investigated whether serum selenium concentration and genetic variants in five selenoenzymes (glutathione peroxidase 1–4 and selenoprotein P) were associated with colorectal cancer risk in 804 colorectal cancer cases and 805 matched controls from the Women's Health Initiative (WHI) Observational Study. A meta-analysis was conducted to compare the WHI result with previous studies including 12 observational studies and two clinical trials on selenium.Results: Within the WHI, selenium concentrations were relatively high (mean = 135.6 μg/L) and were not associated with colorectal cancer risk (Ptrend = 0.10); the adjusted OR comparing the fifth with first quintile was 1.26 (95% CI, 0.91–1.73). Moreover, genetic variants in selenoenzymes were not significantly associated with colorectal cancer risk. Consistent with the finding in WHI, our meta-analysis showed no association between selenium and colorectal tumor risk in women (OR = 0.97; 95% CI, 0.79–1.18) comparing the highest quantile with the lowest); however, in men, there was a significant inverse association (OR = 0.68; 95% CI, 0.57–0.82) (P = 0.01).Conclusion: Consistent with previous studies, we observed no protective effect of selenium on colorectal cancer among women.Impact: Our analyses suggest that a population with relatively high selenium concentrations, especially women, would not benefit from increasing selenium intake. Cancer Epidemiol Biomarkers Prev; 20(9); 1822–30. ©2011 AACR.

Background: Thyroid cancer incidence has risen dramatically in the United States since the early 1980s. Although the prevalence of obesity has doubled during this time period, the relationship between obesity and thyroid cancer is uncertain.Methods: We examined the association between body mass index (BMI) and thyroid cancer risk in a pooled analysis of five prospective U.S. studies, including 413,979 women and 434,953 men. Proportional hazards models with attained age as the time metric were adjusted for education, race, marital status, smoking, alcohol intake, and (where appropriate) cohort and sex.Results: Over follow-up (mean = 10.3 years), 768 women and 388 men were diagnosed with thyroid cancer. The risk of thyroid cancer was greater with increasing BMI [per 5 kg/m2: HR in women, 1.16 (95% CI, 1.08–1.24); HR in men, 1.21 (95% CI, 0.97–1.49)]. There was no significant heterogeneity between studies (both P > 0.05). For women and men combined, the HRs for overweight (25.0–29.9 kg/m2) and obesity (≥30 kg/m2) compared with normal-weight (18.5–24.9 kg/m2) were 1.20 (95% CI, 1.04–1.38) and 1.53 (95% CI, 1.31–1.79), respectively. We found no significant effect modification by other factors, and the results did not differ significantly by histologic type. A significant positive association for BMI in young adulthood (ages 18–20) with thyroid cancer risk was also observed [per 5-kg/m2 increase: HR, 1.18 (95% CI, 1.03–1.35)].Conclusion: BMI was positively associated with thyroid cancer risk in both men and women.Impact: Our study provides strong evidence that obesity is an independent risk factor for thyroid cancer. Cancer Epidemiol Biomarkers Prev; 20(3); 464–72. ©2011 AACR.

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Supplementary Table 1 from Obesity and Thyroid Cancer Risk among U.S. Men and Women: A Pooled Analysis of Five Prospective Studies

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Data harmonization is the process by which each of the variables from different research studies are standardized to similar units resulting in comparable datasets. These data may be integrated for more powerful and accurate examination and prediction of outcomes for use in the intelligent and smart electronic health software programs and systems. Prospective harmonization is performed when researchers create guidelines for gathering and managing the data before data collection begins. In contrast, retrospective harmonization is performed by pooling previously collected data from various studies using expert domain knowledge to identify and translate variables. In nutritional epidemiology, dietary data harmonization is often necessary to construct the nutrient and food databases necessary to answer complex research questions and develop effective public health policy. In this paper, we review methods for effective data harmonization, including developing a harmonization plan, which common standards already exist for harmonization, and defining variables needed to harmonize datasets. Currently, several large-scale studies maintain harmonized nutrient databases, especially in Europe, and steps have been proposed to inform the retrospective harmonization process. As an example, data harmonization methods are applied to several U.S longitudinal diet datasets. Based on our review, considerations for future dietary data harmonization include user agreements for sharing private data among participating studies, defining variables and data dictionaries that accurately map variables among studies, and the use of secure data storage servers to maintain privacy. These considerations establish necessary components of harmonized data for smart health applications which can promote healthier eating and provide greater insights into the effect of dietary patterns on health.

The Collaborative Cohort of Cohorts for COVID-19 Research (C4R) is a national prospective study of adults at risk for coronavirus disease 2019 (COVID-19) comprising 14 established United States (US) prospective cohort studies. For decades, C4R cohorts have collected extensive data on clinical and subclinical diseases and their risk factors, including behavior, cognition, biomarkers, and social determinants of health. C4R will link this pre-COVID phenotyping to information on SARS-CoV-2 infection and acute and post-acute COVID-related illness. C4R is largely population-based, has an age range of 18-108 years, and broadly reflects the racial, ethnic, socioeconomic, and geographic diversity of the US. C4R is ascertaining severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and COVID-19 illness using standardized questionnaires, ascertainment of COVID-related hospitalizations and deaths, and a SARS-CoV-2 serosurvey via dried blood spots. Master protocols leverage existing robust retention rates for telephone and in-person examinations, and high-quality events surveillance. Extensive pre-pandemic data minimize referral, survival, and recall bias. Data are being harmonized with research-quality phenotyping unmatched by clinical and survey-based studies; these will be pooled and shared widely to expedite collaboration and scientific findings. This unique resource will allow evaluation of risk and resilience factors for COVID-19 severity and outcomes, including post-acute sequelae, and assessment of the social and behavioral impact of the pandemic on long-term trajectories of health and aging.

Rationale: Epigenetic aging is a novel measure of biological age, reflecting exposures and disease risks independent of chronological age. It may serve as a useful biomarker of cardiovascular health (CVH) or cardiovascular disease risk for early detection or prevention. Objective: To examine associations between GrimAge acceleration (GrimAA), a measure of epigenetic aging calculated from the residuals of GrimAge regressed on chronological age, and 2 repeated CVH measures: a full score for the AHA Life’s Simple 7 (diet, smoking, physical activity, body mass index, blood pressure, total cholesterol, and glucose) and a clinical CVH score (body mass index, blood pressure, cholesterol, and glucose). Methods and Results: We used Illumina array DNA methylation data from 2 prospective cohort studies, the CARDIA study (Coronary Artery Risk Development in Young Adults) and FHS (Framingham Heart Study), to calculate GrimAA and model associations with CVH. CARDIA randomly selected 1118 participants for assays at Y15 (2000–2001; mean age, 40 years) and Y20 (2005–2006); in FHS, 2106 Offspring participants had DNA methylation measured at exam 8 (2005–2008; mean age, 66 years). We examined multiple cross-sectional and longitudinal models of GrimAA and each CVH score measured at CARDIA Y0 to Y20 and FHS exams 7 to 8. In CARDIA, clinical CVH score from Y0 to Y20 was associated with Y15 and Y20 GrimAA (β range, −0.41 to −0.21 years per 1-point increase in CVH; P range, P P Conclusions: Our data demonstrate that faster GrimAA is associated with the loss of CVH from young age. Epigenetic age may be a useful biomarker of cardiovascular disease risk and provides biological insight into the role of epigenetic mechanisms linking age-related CVH loss and cardiovascular disease.

To examine the associations of long-chain omega-3 polyunsaturated fatty acids (LCω3PUFA) intake with sleep quality and duration in a cohort of American young adults, and to explore whether the associations of interest are modified by selenium (Se) and/or mercury (Hg) status. The study sample consisted of 3964 men and women from the longitudinal Coronary Artery Risk Development in Young Adults (CARDIA) study, aged 25.0 ± 3.6 at baseline. Intake of LCω3PUFA was assessed using an interviewer-administered dietary history questionnaire at baseline (1985–1986), Y7 (1992–1993), and Y20 (2005–2006). Toenail Se and Hg concentrations were quantified at Y2 (1987–1988). The outcomes were self-reported sleep quality and sleep duration measured by one question for each at Y15 (2000–2001) and Y20. Generalized estimating equation was used to examine the association between cumulative average intake of LCω3PUFA and sleep measures. Restricted cubic spline was performed to explore the potential non-linear associations of interest. Se and Hg were dichotomized by their median values to examine the potential effect modification of Se and/or Hg. We did not observe any significant associations (linear or non-linear) of LCω3PUFA intake with either sleep quality or duration. Also, no significant association was observed in any subgroup classified by toenail Se and/or Hg concentrations. Similarly, sensitivity analysis indicated that the null associations between LCω3PUFA intake and sleep quality or duration persisted across subgroups classified by race, gender, obesity, or having small children. Findings from this longitudinal analysis did not support the hypothesis that LCω3PUFA intake is associated with sleep quality or sleep duration.

BACKGROUND: Few studies have evaluated whether plant-centered diets prevent progression of early stage chronic kidney disease (CKD). OBJECTIVES: We examined the association between plant-centered diet quality and early CKD markers. METHODS: We prospectively examined 2869 black and white men and women in the Coronary Artery Risk Development in Young Adults Study free of diagnosed kidney failure in 2005–2006 [examination year 20 (Y20); mean age: 45.3 ± 3.6 y]. CKD marker changes from Y20 to 2015–2016 (Y30) were considered, including estimated glomerular filtration rate (eGFR; serum creatinine), urinary albumin-to-creatinine ratio (ACR), and both. Diet was assessed through interviewer-administered diet histories at Y0, Y7, and Y20, and plant-centered diet quality was quantified with the A Priori Diet Quality Score (APDQS). Linear regression models were used to examine the association of APDQS and subsequent 10-y changes in CKD markers. RESULTS: After adjustment for sociodemographic, behavioral, and diet factors, we found that higher APDQS was related to less adverse changes in CKD markers in the subsequent 10-y period. Compared with the lowest APDQS quintile, the highest quintile was associated with an attenuated increase in lnACR (−0.25 mg/g; 95% CI: −0.37, −0.13 mg/g; P-trend

Much remains unknown about the role of added sugar in relation to cardiovascular disease (CVD) and the relative contributions of sugar-sweetened beverages (SSB) or artificially sweetened beverages (ASB) to CVD risk. Among the 109,034 women who participated in Women’s Health Initiative, we assessed average intakes of added sugar, SSB and ASB, and conducted Cox regression to estimate the hazard ratios (HRs) and their 95% confidence intervals for CVD risk. The consistency of findings was compared to a network meta-analysis of all available cohorts. During an average of 17.4 years of follow-up, 11,597 cases of total CVD (nonfatal myocardial infarction, coronary heart disease (CHD) death, stroke, coronary revascularization, and/or incident heart failure) were confirmed. Added sugar as % energy intake daily (%EAS) at ≥15.0% was positively associated with total CVD (HR = 1.08 [1.01, 1.15]) and CHD (HR = 1.20 [1.09, 1.32]). There was also a higher risk of total CVD associated with ≥1 serving of SSB intake per day (HR = 1.29 [1.17, 1.42]), CHD (1.35 [1.16, 1.57]), and total stroke (1.30 [1.10, 1.53]). Similarly, ASB intake was associated with an increased risk of CVD (1.14 [1.03, 1.26]) and stroke (1.24 [1.04, 1.48]). According to the network meta-analysis, there was a large amount of heterogeneity across studies, showing no consistent pattern implicating added sugar, ASB, or SSB in CVD outcomes. A diet containing %EAS ≥15.0% and consuming ≥1 serving of SSB or ASB may be associated with a higher CVD incidence. The relative contribution of added sugar, SSB, and ASB to CVD risk warrants further investigation.

Little is known about the association of specific nutrients, especially proteins, on the age-related gut dysbiosis.To determine the associations between the quantity and sources (vegetable and animal) of dietary protein intake and gut microbiome composition in community-dwelling older men.We performed a cross-sectional analysis on 775 older men from the Osteoporotic Fractures in Men (MrOS) Study (age 84.2 ± 4.0 years) with available dietary information and stool samples at visit 4 (2014-16). Protein intake was estimated from a brief food frequency questionnaire and adjusted to total energy intake. The gut microbiome composition was determined by 16S (v4) sequencing (processed by DADA2 and SILVA). 11,534 amplicon sequence variants (ASVs) were identified and assigned to 21 phyla with dominance of Firmicutes (45%) and Bacteroidetes (43%). We performed α-diversity, β-diversity, and taxa abundance (by ANCOM-BC) to determine the associations between protein intake and gut microbiome.Median protein intake was 0.7 g/(kg body weight · d). Participants with higher energy-adjusted protein intakes had higher Shannon and Chao1 α-diversity indices (P 0.05). For β-diversity analysis, participants with higher protein intakes had a different center in weighted and unweighted UniFrac PCoA vs. those with lower intake (P 0.05), adjusted for age, race, education, clinical center, batch number, fiber and energy intake, weight, height, and medications. Similarly, higher protein consumptions from either animal or vegetable sources were associated with higher gut microbiome diversity. Several genus-level ASVs, including Christensenellaceae, Veillonella, Haemophilus, and Klebsiella were more abundant in participants with higher protein intakes, whereas Clostridiales bacterium DTU089 and Desulfovibrio were more abundant in participants with lower protein intake (Bonferroni corrected P 0.05).We observed significant associations between protein intake and gut microbiome diversity in community-living older men. Further studies are needed to elucidate the mediation role of gut microbiome on the relationship between protein intake and health outcomes in older adults.

The potential role of nutritional factors in the development of peripheral arterial disease (PAD) remains poorly understood. We evaluated multiple recommended eating patterns as reflected by predefined diet quality indices in relation to long-term risk of PAD. We included 138 506 US postmenopausal women in the Women’s Health Initiative who had no known PAD at baseline (1993–1998). Four diet quality indices, including alternate Mediterranean diet index, alternate Healthy Eating Index-2010, Dietary Approaches to Stop Hypertension diet index, and Healthy Eating Index-2015, were derived using dietary information collected by a validated food frequency questionnaire at baseline. Incident cases of symptomatic PAD in the lower extremities were ascertained and adjudicated through March 2019 via medical record review. During a median 18.6 years of follow-up, 1036 incident PAD cases were identified. After multivariable adjustment, all diet quality scores were significantly and inversely associated with 21% (for alternate Healthy Eating Index 2010) to 34% (for Dietary Approaches to Stop Hypertension index) lower risk of PAD when comparing the highest with the lowest quartiles (all P -for-trend values ≤0.010). Among contributing food groups and nutrients, intakes of legumes, dietary fiber, and vegetable protein were associated lower risk of PAD, while intakes of unprocessed red meat, processed meat, and regular soft drinks were associated with higher risk. In a broad sample of US postmenopausal women, adhering to different recommended eating patterns is associated with lower risk of PAD. Our findings suggest that current clinical and public health strategies that recommend healthful eating patterns may also be applicable to PAD prevention.

The CARDIA (Coronary Artery Risk Development in Young Adults) study began in 1985 to 1986 with enrollment of 5,115 Black or White men and women ages 18 to 30 years from 4 US communities. Over 35 years, CARDIA has contributed fundamentally to our understanding of the contemporary epidemiology and life course of cardiovascular health and disease, as well as pulmonary, renal, neurological, and other manifestations of aging. CARDIA has established associations between the neighborhood environment and the evolution of lifestyle behaviors with biological risk factors, subclinical disease, and early clinical events. CARDIA has also identified the nature and major determinants of Black-White differences in the development of cardiovascular risk. CARDIA will continue to be a unique resource for understanding determinants, mechanisms, and outcomes of cardiovascular health and disease across the life course, leveraging ongoing pan-omics work from genomics to metabolomics that will define mechanistic pathways involved in cardiometabolic aging.

Background Prospective evidence on associations between diet quality indices and lung cancer risk is limited, particularly among older women. Objectives We investigated associations between 4 diet quality indices [Healthy Eating Index-2015 (HEI-2015), Alternate Healthy Eating Index 2010 (AHEI-2010), alternate Mediterranean Diet (aMED), and Dietary Approaches to Stop Hypertension (DASH)] and lung cancer incidence and mortality in the Women's Health Initiative Observational Study. Methods Postmenopausal women aged 50-79 y at baseline (1993-1998) self reported their diet intake and information on relevant covariates. We used Cox proportional hazards regression models to estimate HRs and 95% CIs after controlling for age, smoking, and other relevant covariates. Results During ∼17 y of follow-up among 86,090 participants, 1491 lung cancer cases and 1393 lung cancer deaths were documented. Dietary indices were not associated with overall lung cancer incidence but were protective against squamous cell carcinoma (12.8% of total lung cancer) cases (HEI-2015: HR: 0.85; 95% CI: 0.76, 0.96; AHEI-2010: HR: 0.87; 95% CI: 0.78, 0.98; aMED: HR: 0.90; 95% CI: 0.81, 0.99; DASH: HR: 0.87; 95% CI: 0.77, 0.98). Among the indices, only HEI-2015 showed an inverse trend (P-trend = 0.02) with overall lung cancer mortality. Smoking status or participant age at baseline did not modify the association between dietary indices and lung cancer incidence or mortality. Conclusions After comprehensive control of smoking exposure, we found that diet quality was not associated with overall lung cancer among postmenopausal women. However, a high-quality diet was inversely related to incident lung cancer of the squamous cell subtype. Future studies in populations with diverse age, smoking history, and dietary intake may further elucidate the relation between diet quality indices and lung cancer, especially by histological subtype.

Prior studies examined associations between Healthy Eating Index (HEI) and chronic disease risk based on self-reported diet without measurement error correction.Our objective was to test associations between biomarker-calibration of food frequency questionnaire (FFQ)-derived HEI-2010 with incident cardiovascular disease (CVD), cancer, and type 2 diabetes (T2D) among Women's Health Initiative (WHI) participants. WHI is registered at clinicaltrials.gov: NCT00000611.Data were derived from WHI postmenopausal women (n = 100,374) aged 50-79 y at enrollment (1993-1998) at 40 US clinical centers, linked to nutritional biomarker substudies and outcomes over subsequent decades of follow-up. Baseline or year 1 FFQ-derived HEI-2010 scores were calibrated with nutritional biomarkers and participant characteristics [e.g., body mass index (BMI)] for systematic measurement error correction. Calibrated data were then used in hazard ratio (HR) models examining associations with incidence of CVD (total, subtypes, mortality), cancer (total, subtypes, mortality), and T2D in WHI participants with approximately two decades of follow-up. Models were multivariable-adjusted with further adjustment for BMI and doubly-labeled water (DLW)-calibrated energy.Multivariable adjusted HRs modeled a 20% increment in HEI-2010 score in relation to outcomes. HRs were modest using uncalibrated HEI-2010 scores (HRs = 0.91-1.09). Using biomarker calibrated HEI-2010, 20% increments in scores yielded multivariable-adjusted HRs (95%CIs) of: 0.75 (0.60-0.93): coronary heart disease; 0.75, (0.61.-0.91): myocardial infarction; 0.96 (0.92-1.01): stroke; 0.88 (0.75-1.02): CVD mortality; 0.81 (0.70-0.94): colorectal cancer; 0.81 (0.74-0.88): breast cancer; 0.79 (0.73-0.87): cancer mortality; and 0.45 (0.36-0.55): T2D. Except for cancer mortality and T2D incidence, results became null when adjusted for DLW-calibrated energy intake and BMI.Biomarker calibration of FFQ-derived HEI-2010 was associated with lower CVD and cancer incidence and mortality and lower T2D incidence in postmenopausal women. Attenuation after adjustment with BMI and DLW-calibrated energy suggest that energy intake and/or obesity are strong drivers of diet-related chronic disease risk in postmenopausal women.

Compared with the Seventh Report of the Joint National Committee (JNC7), the 2017 American College of Cardiology/American Heart Association (ACC/AHA) blood pressure (BP) guideline uses lower BP thresholds to define hypertension and BP control.We pooled data from five US-based studies to compare the association of masked hypertension (MHT) and masked uncontrolled hypertension, defined using the 2017 ACC/AHA guideline ( n = 1653 without high office BP;130/80 mmHg) versus the JNC7 guideline ( n = 2451 without high office BP;140/90 mmHg), with left ventricular hypertrophy (LVH). MHT and masked uncontrolled hypertension were defined using office BP and awake BP alone and awake, asleep, or 24-h BP. LVH was assessed by echocardiography.Among participants without high office BP not taking antihypertensive medication, the prevalence of MHT defined by the JNC7 guideline and the 2017 ACC/AHA BP guideline was 25.0 and 33.5% using awake BP only and 37.1 and 52.0% when using awake, asleep, or 24-h BP. The adjusted prevalence ratios for LVH associated with MHT versus sustained normotension defined by the JNC7 and 2017 ACC/AHA BP guidelines were 1.72 [95% confidence interval (CI): 1.12-2.64] and 1.56 (95% CI: 0.97-2.51), respectively, when using awake BP only and 2.16 (95% CI: 1.36-3.44) and 1.03 (95% CI: 0.58-1.82), respectively, when using awake, asleep or 24-h BP. There was no evidence that masked uncontrolled hypertension was associated with LVH when defined using the BP thresholds in either the JNC7 or the 2017 ACC/AHA BP guideline.The association of MHT with LVH may depend on the BP thresholds used.

BACKGROUND: The Dietary Approaches to Stop Hypertension (DASH) diet pattern has shown some promise for preventing heart failure (HF), but studies have been conflicting. OBJECTIVE: To determine whether the DASH diet pattern was associated with incident HF in a large biracial and geographically diverse population. METHODS: Among participants in the REasons for Geographic And Racial Differences in Stroke (REGARDS) cohort study of adults aged ≥45 years who were free of suspected HF at baseline in 2003–2007, DASH diet score was derived from the baseline food frequency questionnaire. The main outcome was incident HF defined as the first adjudicated HF hospitalization or HF death through December 31, 2016. We estimated hazard ratios (HR) for the associations of DASH diet score quartiles with incident HF, and incident HF with reduced ejection fraction (HFrEF) and preserved ejection fraction (HFpEF) using the Lunn-McNeil extension to the Cox model. We tested for several pre-specified interactions including with age. RESULTS: Compared to the lowest quartile, individuals in the 2(nd)-4(th) DASH diet score quartiles had lower risk for incident HF after adjustment for sociodemographic and health characteristics: Q2 HR 0.70, 95%CI[0.56–0.87]; Q3 HR 0.65, 95%CI:[0.52–0.81]; Q4 HR 0.67, 95%CI:[0.52–0.85]. When stratifying results by age, quartiles 2–4 had a lower hazard for incident HF among age

Objective This study aimed to shed light on contradictory associations of alcohol intake with waist circumference (WC) and body mass index (BMI) by examining 5-yr changes in alcohol intake in relation to 5-yr WC and BMI changes. Methods This prospective study included 4,355 participants (1,974 men and 2,381 women) enrolled in the Coronary Artery Risk Development in Young Adults (CARDIA) study at baseline (1985–1986) and followed over 25 years (2010–2011). Longitudinal random effects linear regression models were used to test whether changes in drinking (defined categorically) as starting to drink, increasing, decreasing, stable drinking or stopping drinking (versus stable non-drinking) over a series of 5-yr periods were associated with corresponding 5-yr WC and BMI changes. Associations with 5-yr changes (defined categorically as starting, stable or stopping) in drinking level (i.e., light/moderate and excessive) and 5-yr changes (defined categorically as increasing, no change, or decreasing) by beverage type (i.e., beer, wine and liquor/mixed drinks) were also examined. Results In men, compared to stable non-drinking, decreasing total alcohol intake was associated with lower 5-yr WC (β:-0.62 cm; 95% CI: -1.09, -0.14 cm) and BMI gains (β:-0.20 kg/m2; 95% CI: -0.30, -0.03 kg/m2) and stopping excessive drinking was associated with lower 5-yr WC gains (β:-0.77 cm; 95% CI: -1.51, -0.03 cm). In women, compared to those with stable non-drinking habits, starting light/moderate drinking was associated with lower 5-yr WC (β: -0.78 cm; 95% CI: -1.29, -0.26 cm) and BMI gains (β:-0.42 kg/m2; 95% CI: -0.64, -0.20 kg/m2). Increasing wine intake was associated with a lower 5-yr BMI gain (β:-0.27 kg/m2; 95% CI: -0.51, -0.03 kg/m2). Decreasing liquor/mixed drink (β:-0.33 kg/m2; 95% CI: -0.56, -0.09 kg/m2) intake was associated with lower 5-yr WC (β:-0.88 cm; 95% CI: -1.43, -0.34 cm) and BMI (β:-0.33 kg/m2; 95% CI: -0.56, -0.09 kg/m2) gains. Conclusions Associations of alcohol intake with obesity measures are complex. In women, wine and liquor/mixed drink intakes had contrasting associations with WC and BMI change. In men, decreasing weekly alcoholic beverage intake with an emphasis on stopping excessive consumption may be beneficial in managing WC and BMI gains.

BACKGROUND: Studies have suggested that cadmium (Cd) may be involved in the etiology of nonalcoholic fatty liver disease (NAFLD), but available data in human is sparse. AIMS: We aimed to examine Cd exposure in young adulthood in relation to prevalent NAFLD in midlife among American adults. METHODS: This study included 2446 participants from the Coronary Artery Risk Development in Young Adults study with toenail Cd measurement at exam year 2 (baseline) and computed tomography quantification of liver fat at exam year 25. Toenail Cd concentrations were considered as a reliable marker of long-term exposure. NAFLD was defined if liver attenuation < 51 Hounsfield units after excluding other possible causes of liver fat. Multivariable-adjusted logistic regression models were used to estimate the odds ratio of NAFLD by Cd exposure. RESULTS: Median toenail Cd concentration was 8.2 ppb (inter-quartile range 4.3–18.6 ppb). After 23 years from baseline, 580 participants with prevalent NAFLD (24% prevalence) in midlife were identified. Compared with individuals in the lowest quartile, those in the highest quartile of toenail Cd had a significantly higher odds of NAFLD (OR: 1.43, 95% CI: 1.02, 1.99, P for trend: 0.04) after adjustment for demographics, socioeconomics, major lifestyle factors, and baseline levels of body mass index, lipids, and fasting insulin. The association was not significantly modified by race, sex, BMI, or smoking status at baseline. CONCLUSIONS: Toenail Cd concentration was associated with a higher odds of prevalent NAFLD23 years later in life in this cohort of US general population.

Background Lactation is associated with lower risks for cardiovascular disease in women. Organ-related adiposity, which plays significant roles in the development of cardiometabolic diseases, could help explain this observation. We evaluated the association of lactation duration with visceral (VAT) and pericardial (PAT) fat volumes in women. Methods Data were obtained from 910 women enrolled in the Coronary Artery Risk Development in Young Adults (CARDIA) study (1985-1986) without diabetes prior to pregnancy who had ≥1 birth during 25 years of follow-up and had VAT and PAT measured from computed tomographic scans in 2010-2011. Cumulative lactation duration across all births since baseline was calculated from self-reports collected at periodic exams. Results At baseline, the average age of women (48% black, 52% white) was 24 ± 3.7 years. After controlling for baseline age, race, smoking status, body mass index, fasting glucose, family history of diabetes, fat intake, total cholesterol, physical activity, and follow-up covariates (parity, gestational diabetes), the mean fat volumes across categories of lactation [none (n = 221), 1-5 months (n = 306), 6-11 months (n = 210), and ≥12 months (n = 173)] were 122.0, 113.7 105.0, and 110.1 cm3 for VAT and 52.2, 46.7, 44.5, and 43.4 cm3 for PAT, respectively. Changes in body weight from the first post-baseline birth to the end of follow-up mediated 21% and 18% of the associations of lactation with VAT and PAT, respectively. Conclusions In this prospective study, longer cumulative lactation duration was associated with lower VAT and PAT volumes, with weight gain partially mediating these associations.

The prognostic value of traditional atherosclerotic cardiovascular disease (ASCVD) risk factors may decrease with age. We sought to determine whether the association between traditional ASCVD risk factors and incident coronary artery calcium (CAC) differs for younger versus older persons. We included 5,108 participants with baseline CAC = 0. Repeat CAC scoring occurred over 3 to 11 years of follow-up. Multivariable Cox proportional hazards regression assessed the association between traditional risk factors and incident CAC in young (32 to 45 years), middle-aged (46 to 64 years), and older adults (65 to 84 years). A total of 61% of the participants were women and 37% were Black. The proportion with incident CAC ranged from 22% among young adults, 34% for middle-aged adults, and 45% for older adults. In young adults, traditional risk factors were significantly associated with incident CAC except for diastolic blood pressure and high-density lipoprotein (HDL) cholesterol, whereas only total cholesterol/HDL cholesterol ≥3.5 (p = 0.04) was significantly associated with incident CAC in older persons. Non-HDL cholesterol (p = 0.02) was more strongly associated with incident CAC in young (hazard ratio [HR] 1.20, 95% confidence interval [CI] 1.09 to 1.31) and middle aged (HR 1.14, 95% CI 1.07 to 1.23) compared to older adults (HR 1.11, 95% CI 0.99 to 1.23). When added to demographics, traditional risk factors provided a greater C-statistic improvement for incident CAC prediction in young (0.752, +0.070, p0.001) versus middle-aged (0.645, +0.054, p0.001) and older adults (0.597,+0.025, p = 0.08). In conclusion, traditional risk factors more strongly predict incident CAC in young compared to older adults, underlining the importance of primordial prevention through middle age while identifying the challenges of ASCVD risk assessment in older persons.

Chocolate contains both potentially harmful components (i.e., stearic acid and added sugar) and beneficial components (i.e., phenolics and flavonoids). Despite its popularity, long-term health effects of chocolate consumption remain unclear.The aim of this study was to examine the association of chocolate consumption with all-cause and cause-specific mortality.This is a prospective cohort study./setting This study included 84,709 postmenopausal women free of cardiovascular disease (CVD) and cancer at baseline in the Observational Study and Clinical Trials control arm of the prospective Women's Health Initiative cohort who were enrolled during 1993-1998. These women were followed through March 2018.The outcomes included all-cause mortality and cause-specific mortality from CVD, cancer and dementia.Multivariable Cox proportional hazards models were used to estimate adjusted HRs of all-cause mortality and cause-specific mortality.During 1,608,856 person-years of follow up (19.0 years on average [SD=4.2]), 25,388 deaths occurred, including 7,069 deaths from CVD, 7,030 deaths from cancer, and 3,279 deaths from dementia. After adjustment for a variety of covariates, compared to no chocolate consumption, the HRs (95% CIs) for all-cause mortality were 0.95 (0.92, 0.98), 0.93 (0.89, 0.96), 0.97 (0.90, 1.04) and 0.90 (0.84, 0.97) for1 serving/week, 1-3 servings/week, 4-6 servings/week, and ≥1 serving/day of chocolate consumption, respectively (P for trend = 0.02). For CVD mortality, compared to no chocolate consumption, the HRs (95% CIs) were 0.96 (0.91, 1.01), 0.88 (0.82, 0.95), 1.06 (0.93, 1.21) and 0.92 (0.80, 1.05) for1 serving/week, 1-3 servings/week, 4-6 servings/week, and ≥1 serving/day of chocolate consumption, respectively (P for trend = 0.45). For dementia mortality, compared to no chocolate consumption, the HRs (95% CIs) were 0.91 (0.84, 0.99), 0.89 (0.80, 0.99), 0.97 (0.79, 1.18) and 0.97 (0.80, 1.18) for1 serving/week, 1-3 servings/week, 4-6 servings/week, and ≥1 serving/day of chocolate consumption, respectively (P for trend = 0.95). Chocolate consumption was not associated with cancer mortality.The results suggested modest inverse association of chocolate consumption with mortality from all causes, CVD or dementia, specifically for a moderate chocolate consumption of 1-3 servings/week.

Background: Behavioral factors for cardiometabolic outcomes have been shown to influence the composition and function of the gut microbiota, which has been associated with cardiometabolic outcomes. Observational studies have documented associations between physical activity and gut microbial composition using 16S rRNA sequencing data, but there is a paucity of data on functional measures, which can be generated from whole-metagenomics sequencing (WMS). Methods: Data are from 480 CARDIA participants who attended the Year 30 follow-up exam (2015-2016, ages 48-60, 47:53 Black:White race, 47:53 male:female gender). Physical activity (exercise units) was estimated from reported frequency and duration of 13 activity types of at least moderate intensity during the previous year. Species, metabolic pathways, and enzyme families were assigned using standard reference databases. Multivariate measures of beta-diversity (between-person) was assessed with principal coordinates analysis (PCoA) and tested with PERMANOVA. Multivariable-adjusted linear regression was used to test associations between distinct microbial features and physical activity, adjusting for false discovery rate (FDR). Results: Sequence data mapped to 105 species 1,307 enzyme families, and 318 metabolic pathways. Beta-diversity of species, but not for enzyme families or metabolic pathways, was significantly differentiated according to physical activity. In analysis of distinct microbial features, 7 species, 15 enzyme families, and 3 metabolic pathways were significantly associated with physical activity at an FDR-adjusted p-value of 0.10 (Table). Conclusion: These findings support associations between gut microbial features and physical activity in a middle-aged, bi-race population-based cohort. Although temporality cannot be established from these cross-sectional analyses, our results are consistent with data suggesting that physical activity may influence composition and function of the gut microbiota.

Objectives: Ambulatory blood pressure (BP) monitoring (ABPM) parameters beyond mean BP may be useful for identifying individuals at high risk for cardiovascular end-organ damage. We examined the association between ABPM parameters, including 24-hour BP load, peak BP, peak increase in BP, and mean BP with left ventricular hypertrophy (LVH). Methods: Data were pooled from five US-based studies in which participants underwent ABPM for 24 hours (n=2,892). We defined systolic BP (SBP) load as the weighted average of the percent awake SBP readings ≥ 130 mm Hg and asleep SBP readings ≥ 110 mm Hg; peak SBP as the weighted average of awake and asleep 90 th percentile of SBP; peak increase as the difference between the peak SBP and mean SBP. These parameters were then categorized into quartiles. LVH was assessed by 2D-echocardiography. Analyses were stratified by mean 24-hour BP < 130/80 and ≥ 130/80 mm Hg. Results: Among participants with mean 24-hour BP < 130/80 mm Hg, the prevalence of LVH increased from the lowest to the highest quartile for SBP load, peak SBP, peak increase in SBP, and mean SBP ( Table ). The adjusted prevalence ratio (PR) for the association of the highest versus the lowest quartile with LVH was 1.82 (95%CI: 1.08-3.05) for SBP load, 2.00 (95%CI: 1.18-3.38) for peak SBP, 1.38 (95%CI: 0.85-2.23) for peak increase in SBP, and 1.51 (95%CI: 0.98-2.32) for mean SBP. Among participants with mean 24-hour BP ≥ 130/80 mm Hg, the prevalence of LVH increased for all ABPM parameters from the lowest to the highest quartile. The multivariable-adjusted PR for the association of the highest versus the lowest quartile with LVH was 1.39 (95%CI: 0.98-1.97) for SBP load, 1.66 (95%CI: 1.09-2.53) for peak SBP, 1.08 (95%CI: 0.76-1.53) for peak increase in SBP, and 1.88 (95%CI: 1.24-2.83) for mean SBP. Conclusion: The 24-hour SBP load and peak SBP were associated with a higher prevalence of LVH when mean 24-hour BP was < 130/80 mm Hg. The 24-hour peak SBP and mean SBP were associated with a higher prevalence of LVH when mean 24-hour BP was ≥ 130/80 mm Hg.

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. 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. 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

OBJECTIVE To examine the associations between change in plant-centered diet quality and type 2 diabetes risk and change in body size. RESEARCH DESIGN AND METHODS A prospective study conducted in the U.S. enrolled adults ages 18–30 years in 1985–1986 (examination year [Y0]) and followed them through 2015–2016. We analyzed the associations between change in plant-centered diet quality over 20 years (Y0–Y20) and diabetes (Y20–30; n = 2,534) and change (Y0–Y20 and Y20–30) in BMI, waist circumference (WC), and weight (n > 2,434). Plant-centered diet quality was measured using the A Priori Diet Quality Score (APDQS); a higher score favors nutritionally rich plant foods. Cox regression models were used to assess diabetes risk, and linear regression models were used to examine change in body size. RESULTS During a mean follow-up of 9.3 (± 1.7) years, 206 case subjects with incident diabetes were observed. In multivariable analysis, participants with the largest increase in APDQS over 20 years had a 48% (95% CI 0.31–0.85; Ptrend < 0.001) lower risk of diabetes over the subsequent 10 years compared with participants whose score remained stable. Each 1-SD increment in APDQS over 20 years was associated with lower gains in BMI (−0.39 kg/m2; SE 0.14; P = 0.004), WC (−0.90 cm; SE 0.27; P < 0.001) and weight (−1.14 kg; SE 0.33; P < 0.001) during the same period, but not with subsequent changes. CONCLUSIONS Young adults who increased plant-centered diet quality had a lower diabetes risk and gained less weight by middle adulthood.

OBJECTIVE This study hypothesized that both preconception and postchildbearing patterns of cardiometabolic risk factors may be different for women with gestational diabetes mellitus (GDM) compared with women without GDM. METHODS Among 1,302 (51% black) women in the Coronary Artery Risk Development in Young Adults (CARDIA) study with births and followed for 30 years, this study evaluated changes in cardiometabolic factors (BMI, waist circumference [WC], lipids, blood pressure) during prechildbearing (prior to the first postbaseline birth) and postchildbearing periods (after the last birth) by GDM status using piecewise linear mixed models adjusted for sociodemographics, parity, and time-varying covariates. RESULTS Compared with women who did not develop GDM, weight and WC increases in women who developed GDM (n = 152, 12%) were faster (BMI difference: +0.12 kg/m2 /y, P = 0.04; WC difference: +0.28 cm/y, P = 0.04) during the prechildbearing period, accounting for covariates. This translated to an average of 1.3 kg of excess weight gain across 4 years among women with subsequent GDM versus non-GDM births. In contrast, slopes after childbearing did not differ by GDM status, nor were there other cardiometabolic differences. CONCLUSIONS Women with GDM exhibited an increasing prepregnancy pattern of weight gain and central adiposity. Absolute postchildbearing weight was also higher in GDM-affected women, but the slope of gain after GDM was not.

OBJECTIVES: Our aim was to determine the association between protein intake (overall and by source) and all-cause and cause-specific mortality among older men. DESIGN: Prospective cohort study. SETTING: 5790 ambulatory community-dwelling older men from multicenter Osteoporotic Fractures in Men (MrOS) study. MEASUREMENTS: Total energy and protein intake, and protein intake by source (dairy, non-dairy animal, plant) were assessed using a 69-item food frequency questionnaire. We included up to 10-year follow-up with adjudicated cardiovascular, cancer and other mortality outcomes. We used time-to-event analysis with protein exposures, mortality outcome, and adjusted for possible confounders including age, center, education, race, smoking, alcohol use, physical activity, weight, total energy intake (TEI), and comorbidities. Hazard ratios were expressed per each unit=2.9% TEI decrement for all protein intake variables. RESULTS: The mean (SD) baseline age of 5790 men was 73.6 (5.8) y. There were 1611 deaths and 211 drop-outs prior to 10 years, and 3868 men who were alive at the 10-year follow-up. The mean (SD) total protein intake was 64.7 (25.8) g/d, while the mean (SD) intake expressed as percent of total energy intake (%TEI) was 16.1 (2.9) %TEI. Lower protein intake was associated with an increased risk of death, with unadjusted HR=1.11 (95% CI: 1.06, 1.17) and adjusted HR=1.09 (95% CI: 1.04, 1.14) and the associations for protein intake by source were similar. The adjusted HR for cancer mortality was HR=1.13 (95% CI: 1.03, 1.25) while the association for CVD mortality was HR=1.08 (95% CI: 0.99, 1.18). CONCLUSIONS: Low protein intake, irrespective of source, was associated with a modest increase in risk of all-cause and cause-specific mortality among older men. Special consideration should be given to level of protein intake among older adults.

BACKGROUND Fractures associated with postmenopausal osteoporosis (PMO) are associated with pain, disability, and increased mortality. A recent, nationwide evaluation of racial difference in outcomes after fracture has not been performed. OBJECTIVE To determine if 1-year death, debility, and destitution rates differ by race. DESIGN Observational cohort study. SETTING US Medicare data from 2010 to 2016. PARTICIPANTS Non-Hispanic black and white women with PMO who have sustained a fragility fracture of interest: hip, pelvis, femur, radius, ulna, humerus, and clinical vertebral. MEASUREMENTS Outcomes included 1-year: (1) mortality, identified by date of death in Medicare vital status information, (2) debility, identified as new placement in long-term nursing facilities, and (3) destitution, identified as becoming newly eligible for Medicaid. RESULTS Among black and white women with PMO (n = 4,523,112), we identified 399,000 (8.8%) women who sustained a major fragility fracture. Black women had a higher prevalence of femur (9.0% vs 3.9%; P

Objectives: Nonadherence to medications has been documented, but the combined effect of social risk factors on medication nonadherence has not been investigated. Methods: We conducted a cross-sectional analysis of data from the Coronary Artery Risk Development in Young Adults (CARDIA) study, a population-based prospective cohort. The sample (N = 1506) included subjects who at Year 20 (2005-06) were taking prescription medications and completed a 4-item Medication Adherence Scale. Social risk factors were education of high school or less, annual household income Results: In a fully adjusted logistic regression model, income 3 times higher odds of nonadherence than counterparts with no social risk factors (OR = 3.26 [95% CI 1.72–6.19], p < .001). Conclusion: Low income and chronic stress are associated with medication nonadherence, and the odds of nonadherence increase with the accumulation of social risk factors. Findings may be used to develop risk prediction tools to identify individuals who can benefit from adherence-promoting interventions.

PURPOSE: Although laboratory studies suggest a potential role of magnesium (Mg) in weight regulation, human studies relating Mg intake to body weight are limited. This study sought to prospectively examine the association between Mg intake and incidence of obesity and related anthropometric and biochemical indicators. METHODS: The Coronary Artery Risk Development in Young Adults (CARDIA) study recruited 5,115 American young adults, aged 18–30 years, at baseline in 1985–6, and re-examined them in 8 follow-ups. Incident obesity was defined as body mass index (BMI) ≥ 30 kg/m(2). Dietary Mg intake was collected using the CARDIA Diet History at baseline and exam years 7 and 20. RESULTS: During the 30-year follow-up, 1,675 incident cases of obesity were identified. After adjustment for potential confounders, Mg intake was inversely associated with incidence of obesity. The multivariable-adjusted hazards ratios (95% confidence interval) from quintile 1 (Q1) (lowest intake group) to quintile 5 (Q5) (highest intake group) were 1 (referent), 0.86 (0.74, 1.00), 0.83 (0.71, 0.97), 0.55 (0.46, 0.66), and 0.49 (0.40, 0.60); P for trend < 0.01. Consistently, Mg intake was inversely associated with the levels of BMI, triceps skinfold, suprailiac skinfold, subscapular skinfold, fasting insulin, and C-reactive protein. The observed associations were not materially modified by age, sex, race, or BMI at baseline. In addition, the intakes of foods rich in Mg, including whole grains, nuts and seeds, legumes and dark-green vegetables, were associated with lower incidence of obesity. CONCLUSIONS: This longitudinal study suggests that Mg intake is inversely associated with incidence of obesity.

Dairy has been described as everything from a superfood to a poison; yet, arguments, assumptions, and data justifying these labels are not always clear. We used an issue-based information system, “dialogue mapping™,” to summarize scientific points of a live panel discussion on the putative effects of dairy on cardiovascular diseases (CVD) from a day-long session among experts in nutrition and CVD. Dialogue mapping captures relations among ideas to explicitly, logically, and visually connect issues/questions, ideas, pro/con arguments, and agreements, even if discussed at different times. Experts discussed two propositions: for CVD risk, consumption of full-fat dairy products, 1) should be minimized, in part because of their saturated fat content, or 2) need not be minimized, despite their saturated fat content. The panel discussed the dairy-CVD relation through blood lipids, diabetes, obesity, energy balance, blood pressure, dairy bioactives, biobehavioral components, and other putative causal pathways. Associations and effects reported in the literature have varied by fat content of dairy elements considered, study design, intake methods, and biomarker versus disease outcomes. Two conceptual topics emerged from the discussion: 1) individual variability: whether recommendations should be targeted only to those at high CVD risk; 2) quality of evidence: whether data on dairy-CVD relations are strong enough for reliable conclusions – positive, negative, or null. Future procedural improvements for science dialog mapping include using singular rather than competing propositions for discussion.

Determining the role of gut microbial communities in aging-related phenotypes, including weight loss, is an emerging gerontology research priority. Gut microbiome datasets comprise relative abundances of microbial taxa that necessarily sum to 1; analysis ignoring this feature may produce misleading results. Using data from the Osteoporotic Fractures in Men (MrOS) study (n = 530; mean [SD] age = 84.3 [4.1] years), we assessed 163 genera from stool samples and body weight. We compared conventional analysis, which does not address the sum-to-1 constraint, to compositional analysis, which does. Specifically, we compared elastic net regression (for variable selection) and conventional Bayesian linear regression (BLR) and network analysis to compositional BLR and network analysis; adjusting for past weight, height, and other covariates. Conventional BLR identified Roseburia and Dialister (higher weight) and Coprococcus-1 (lower weight) after multiple comparisons adjustment (p < .0125); plus Sutterella and Ruminococcus-1 (p < .05). No conventional network module was associated with weight. Using compositional BLR, Coprococcus-2 and Acidaminococcus were most strongly associated with higher adjusted weight; Coprococcus-1 and Ruminococcus-1 were most strongly associated with lower adjusted weight (p < .05), but nonsignificant after multiple comparisons adjustment. Two compositional network modules with respective hub taxa Blautia and Faecalibacterium were associated with adjusted weight (p < .01). Findings depended on analytical workflow. Compositional analysis is advocated to appropriately handle the sum-to-1 constraint.

OBJECTIVES: To evaluate the associations of high awake blood pressure (BP), high asleep BP, and non-dipping BP, determined by ambulatory BP monitoring (ABPM), with left ventricular (LV) hypertrophy (LVH) and geometry. METHODS: Black and white participants (n=687) in the Coronary Artery Risk Development in Young Adults (CARDIA) study underwent 24-hour ABPM and echocardiography at the Year 30 Exam in 2015–2016. The prevalence and prevalence ratios (PR) of LVH were calculated for high awake systolic BP (≥ 130 mmHg), high asleep systolic BP (≥ 110 mmHg), the cross-classification of high awake and asleep systolic BP, and non-dipping systolic BP (percentage decline in awake-to-asleep systolic BP < 10%). Odds ratios (ORs) for abnormal LV geometry associated with these phenotypes were calculated. RESULTS: Overall, 46.0% and 49.1% of study participants had high awake and asleep systolic BP, respectively, and 31.1% had non-dipping systolic BP. After adjustment for demographics and clinical characteristics, high awake systolic BP was associated with a PR for LVH of 2.79, (95% confidence interval [95% CI] 1.63–4.79). High asleep systolic BP was also associated with a PR for LVH of 2.19 (95% CI 1.25–3.83). There was no evidence of an association between non-dipping systolic BP and LVH (PR 0.70, 95% CI 0.44–1.12). High awake systolic BP with or without high asleep systolic BP was associated with a higher OR of concentric remodeling and hypertrophy. CONCLUSION: Awake and asleep systolic BP, but not the decline in awake-to-asleep systolic BP, were associated with increased prevalence of cardiac end-organ damage.

PURPOSE: To describe maximal and submaximal cardiorespiratory fitness from early adulthood to midlife and examine differences in maximal fitness at age 20 and changes in fitness over-time by sub-categories of socio-demographic, behavioral, and health-related factors. METHODS: Data include 5,018 Coronary Artery Risk Development in Young Adults participants [mean (SD) age 24.8 (3.7) years, 53.3% female and 51.4% Black participants] who completed at least one maximal graded exercise test at baseline and/or the Year 7 and 20 exams. Maximal and submaximal fitness were estimated by exercise duration and heart rate at the end of stage 2. Multivariable adjusted linear mixed models were used to estimate fitness trajectories using age as the mechanism for time after adjustment for covariates. Fitness trajectories from ages 20 to 50 in 5-year increments were estimated overall and by sub-groups determined by each factor after adjustment for duration within the less favorable category. RESULTS: Mean (95% confidence interval) maximal fitness at age 20 and 50 years was 613 (607, 616) and 357 (350, 362) seconds; submaximal heart rate during this period also reflected age-related fitness declines [126 (125, 127) and 138 (137, 138) beats per minute]. Compared to men, women had lower maximal fitness at age 20 (p

Animal experiments and small clinical studies support a role for the gut microbiota in cognitive functioning. Few studies have investigated gut microbiota and cognition in large community samples.To examine associations of gut microbial composition with measures of cognition in an established population-based study of middle-aged adults.This cross-sectional study analyzed data from the prospective Coronary Artery Risk Development in Young Adults (CARDIA) cohort in 4 US metropolitan centers between 2015 and 2016. Data were analyzed in 2019 and 2020.Stool DNA were sequenced, and the following gut microbial measures were gathered: (1) β-diversity (between-person) derived with multivariate principal coordinates analysis; (2) α-diversity (within-person), defined as richness (genera count) and the Shannon index (integrative measure of genera richness and evenness); and (3) taxonomy (107 genera, after filtering).Cognitive status was assessed using 6 clinic-administered cognitive tests: Montreal Cognitive Assessment (MoCA), Digit Symbol Substitution Test (DSST), Rey-Auditory Verbal Learning Test (RAVLT), Stroop, category fluency, and letter fluency. A global score measure derived using principal components analysis was also assessed; the first principal component explained 56% of variability.Microbiome data were available on 597 CARDIA participants; mean (SD) age was 55.2 (3.5) years, 268 participants (44.7%) were men, and 270 (45.2%) were Black. In multivariable-adjusted principal coordinates analysis, permutational multivariate analysis of variance tests for β-diversity were statistically significant for all cognition measures (principal component analysis, P = .001; MoCA, P = .001; DSST, P = .001; RAVLT, P = .001; Stroop, P = .007; category fluency, P = .001) with the exception of letter fluency (P = .07). After adjusting for sociodemographic variables (age, race, sex, education), health behaviors (physical activity, diet, smoking, medication use), and clinical covariates (body mass index, diabetes, hypertension), Barnesiella was positively associated with the first principal component (β, 0.16; 95% CI, 0.08-0.24), DSST (β, 1.18; 95% CI, 0.35-2.00), and category fluency (β, 0.59; 95% CI, 0.31-0.87); Lachnospiraceae FCS020 group was positively associated with DSST (β, 2.67; 95% CI, 1.10-4.23), and Sutterella was negatively associated with MoCA (β, -0.27; 95% CI, -0.44 to -0.11).In this cross-sectional study, microbial community composition, based on β-diversity, was associated with all cognitive measures in multivariable-adjusted analysis. These data contribute to a growing body of literature suggesting that the gut microbiota may be associated with cognitive aging, but must be replicated in larger samples and further researched to identify relevant pathways.