Sugar- or artificially-sweetened beverage consumption, physical activity, and risk of cardiovascular disease in US adults

Background

The extent to which physical activity attenuates the detrimental effects of sugar (SSBs)- or artificially-sweetened beverages (ASBs) on the risk of cardiovascular disease is unknown.

Methods

We used Cox proportional-hazards models to calculate hazard ratios and 95% confidence interval [HR (CI)] between SSB or ASB intake and physical activity with cardiovascular disease risk among 65,730 women in the Nurses' Health Study (1980-2016) and 39,418 men in the Health Professional's Follow-up Study (1986-2016), who were free from chronic diseases at baseline. SSBs and ASBs were assessed every 4-years and physical activity biannually.

Results

A total of 13,269 cardiovascular events were ascertained during 3,001,213 person-years of follow-up. Compared with those that never/rarely consumed SSBs or ASBs, HR and 95% CI for cardiovascular disease for participants consuming ≥2 servings/day were 1.21 (95% CI,1.12 to 1.32; P-trend<0.001) and 1.03 (95% CI, 0.97 to 1.09; P-trend=0.06), respectively. In the joint analyses, for participants meeting and not meeting physical activity guidelines (<7.5 vs ≥7.5 MET-h/week) as well as consuming ≥2 servings/day of SSBs or ASBs, the HRs for cardiovascular disease were 1.15 (95% CI, 1.08 to 1.23) and 0.96 (95% CI, 0.91 to 1.02), and 1.47 (95% CI, 1.37 to 1.57) and 1.29 (95% CI, 1.22 to 1.37) respectively, compared with participants who met physical activity guidelines and never/rarely consumed these beverages. Similar patterns were observed when coronary heart disease and stroke were analyzed.

Conclusions

Our findings suggest that among physically active participants, higher SSB intake, but not ASBs, is associated with a higher cardiovascular risk. Our results support current recommendations to limit the intake of SSB and maintain adequate physical activity levels.

Beverage consumption and mortality among adults with type 2 diabetes: prospective cohort study

OBJECTIVE

To investigate the intake of specific types of beverages in relation to mortality and cardiovascular disease (CVD) outcomes among adults with type 2 diabetes.

DESIGN

Prospective cohort study.

SETTING

Health professionals in the United States.

PARTICIPANTS

15 486 men and women with a diagnosis of type 2 diabetes at baseline and during follow-up (Nurses' Health Study: 1980-2018; and Health Professionals Follow-Up Study: 1986-2018). Beverage consumption was assessed using a validated food frequency questionnaire and updated every two to four years.

MAIN OUTCOME MEASURES

The main outcome was all cause mortality. Secondary outcomes were CVD incidence and mortality.

RESULTS

During an average of 18.5 years of follow-up, 3447 (22.3%) participants with incident CVD and 7638 (49.3%) deaths were documented. After multivariable adjustment, when comparing the categories of lowest intake of beverages with the highest intake, the pooled hazard ratios for all cause mortality were 1.20 (95% confidence interval 1.04 to 1.37) for sugar sweetened beverages (SSBs), 0.96 (0.86 to 1.07) for artificially sweetened beverages (ASBs), 0.98 (0.90 to 1.06) for fruit juice, 0.74 (0.63 to 0.86) for coffee, 0.79 (0.71 to 0.89) for tea, 0.77 (0.70 to 0.85) for plain water, 0.88 (0.80 to 0.96) for low fat milk, and 1.20 (0.99 to 1.44) for full fat milk. Similar associations were observed between the individual beverages and CVD incidence and mortality. In particular, SSB intake was associated with a higher risk of incident CVD (hazard ratio 1.25, 95% confidence interval 1.03 to 1.51) and CVD mortality (1.29, 1.02 to 1.63), whereas significant inverse associations were observed between intake of coffee and low fat milk and CVD incidence. Additionally, compared with those who did not change their consumption of coffee in the period after a diabetes diagnosis, a lower all cause mortality was observed in those who increased their consumption of coffee. A similar pattern of association with all cause mortality was also observed for tea, and low fat milk. Replacing SSBs with ABSs was significantly associated with lower all cause mortality and CVD mortality, and replacing SSBs, ASBs, fruit juice, or full fat milk with coffee, tea, or plain water was consistently associated with lower all cause mortality.

CONCLUSIONS

Individual beverages showed divergent associations with all cause mortality and CVD outcomes among adults with type 2 diabetes. Higher intake of SSBs was associated with higher all cause mortality and CVD incidence and mortality, whereas intakes of coffee, tea, plain water, and low fat milk were inversely associated with all cause mortality. These findings emphasize the potential role of healthy choices of beverages in managing the risk of CVD and premature death overall in adults with type 2 diabetes.

Urinary metabolomics of phenolic compounds reveals biomarkers of type-2 diabetes within the PREDIMED trial

BACKGROUND

Phenolic compounds have been associated with protective effects against type-2 diabetes (T2D). We used a metabolomics approach to determine urinary phenolic metabolites associated with T2D and fasting plasma glucose.

METHODS

This case-control study within the PREDIMED trial included 200 participants at high cardiovascular risk, 102 of whom were diagnosed with T2D. A panel of urinary phenolic compounds were analysed using a novel method based on liquid chromatography coupled to mass spectrometry. Multivariate statistics and adjusted logistic regressions were applied to determine the most discriminant compounds and their association with T2D. The relationship between the discriminant phenolic compounds and plasma glucose was assessed using multivariable linear regressions.

RESULTS

A total of 41 phenolic compounds were modeled in the orthogonal projection to latent structures discriminant analysis, and after applying adjusted logistic regressions two were selected as discriminant: dihydrocaffeic acid (OR = 0.22 (CI 95 %: 0.09; 0.52) per 1-SD, p-value = 0.021) and genistein diglucuronide (OR = 0.72 (CI 95%: 0.59; 0.88) per 1-SD, p-value = 0.021). Both metabolites were associated with a lower risk of suffering from T2D, but only dihydrocaffeic acid was inversely associated with plasma glucose (β = -17.12 (95 % CI: -29.92; -4.32) mg/dL per 1-SD, p-value = 0.009).

CONCLUSIONS

A novel method using a metabolomics approach was developed to analyse a panel of urinary phenolic compounds for potential associations with T2D, and two metabolites, dihydrocaffeic acid and genistein diglucuronide, were found to be associated with a lower risk of this condition.

Low-Carbohydrate Diet Scores and Mortality Among Adults With Incident Type 2 Diabetes

OBJECTIVE

The current study aims to prospectively examine the association between postdiagnosis low-carbohydrate diet (LCD) patterns and mortality among individuals with type 2 diabetes (T2D).

RESEARCH DESIGN AND METHODS

Among participants with incident diabetes identified in the Nurses' Health Study and Health Professionals Follow-up Study, an overall total LCD score (TLCDS) was calculated based on the percentage of energy as total carbohydrates. In addition, vegetable (VLCDS), animal (ALCDS), healthy (HLCDS), and unhealthy (ULCDS) LCDS were further derived that emphasized different sources and quality of macronutrients. Multivariable-adjusted Cox models were used to assess the association between the LCDS and mortality.

RESULTS

Among 10,101 incident T2D cases contributing 139,407 person-years during follow-up, we documented 4,595 deaths of which 1,389 cases were attributed to cardiovascular disease (CVD) and 881 to cancer. The pooled multivariable-adjusted hazard ratios (HRs, 95% CIs) of total mortality per 10-point increment of postdiagnosis LCDS were 0.87 (0.82, 0.92) for TLCDS, 0.76 (0.71, 0.82) for VLCDS, and 0.78 (0.73, 0.84) for HLCDS. Both VLCDS and HLCDS were also associated with significantly lower CVD and cancer mortality. Each 10-point increase of TLCDS, VLCDS, and HLCDS from prediagnosis to postdiagnosis period was associated with 12% (7%, 17%), 25% (19%, 30%), and 25% (19%, 30%) lower total mortality, respectively. No significant associations were observed for ALCDS and ULCDS.

CONCLUSIONS

Among people with T2D, greater adherence to LCD patterns that emphasize high-quality sources of macronutrients was significantly associated with lower total, cardiovascular, and cancer mortality.

Increase from low to moderate, but not high, caffeinated coffee consumption is associated with favorable changes in body fat

BACKGROUND & AIMS

Higher consumption of coffee and caffeine has been linked to less weight gain and lower body mass index in prospective cohort studies. The aim of the study was to longitudinally assess the association of changes in coffee and caffeine intake with changes in fat tissue, in particular, visceral adipose tissue (VAT) using dual x-ray absorptiometry (DXA).

METHODS

In the setting of a large, randomized trial of Mediterranean diet and physical activity intervention, we evaluated 1483 participants with metabolic syndrome (MetS). Repeated measurements of coffee consumption from validated food frequency questionnaires (FFQ) and DXA measurements of adipose tissue were collected at baseline, 6 months, 12 months and 3 years of follow-up. DXA-derived measurements of total and regional adipose tissue expressed as % of total body weight were transformed into sex-specific z-scores. Linear multilevel mixed-effect models were used to investigate the relationship between changes in coffee consumption and corresponding concurrent changes in fat tissue during a 3-year follow-up.

RESULTS

After adjustment for intervention group, and other potential confounders, an increase in caffeinated coffee consumption from no or infrequent consumption (≤3 cups/month) to moderate consumption (1-7 cups/week) was associated with reductions in total body fat (Δ z-score: -0.06; 95% CI: -0.11 to -0.02), trunk fat (Δ z-score: -0.07; 95% CI: -0.12 to -0.02), and VAT (Δ z-score: -0.07; 95% CI: -0.13 to -0.01). Neither changes from no or infrequent consumption to high levels of caffeinated coffee consumption (>1 cup/day) nor any changes in decaffeinated coffee consumption showed significant associations with changes in DXA measures.

CONCLUSIONS

Moderate changes in the consumption of caffeinated coffee, but not changes to high consumption, were associated with reductions in total body fat, trunk fat and VAT in a Mediterranean cohort with MetS. Decaffeinated coffee was not linked to adiposity indicators. Moderate consumption of caffeinated coffee may be part of a weight management strategy.

TRIAL REGISTRATION

The trial was registered at the International Standard Randomized Controlled Trial (ISRCTN: http://www.isrctn.com/ISRCTN89898870) with number 89898870 and registration date of 24 July 2014, retrospectively registered.

Circulating citric acid cycle metabolites and risk of cardiovascular disease in the PREDIMED study

BACKGROUND AND AIM

Plasma citric acid cycle (CAC) metabolites might be likely related to cardiovascular disease (CVD). However, studies assessing the longitudinal associations between circulating CAC-related metabolites and CVD risk are lacking. The aim of this study was to evaluate the association of baseline and 1-year levels of plasma CAC-related metabolites with CVD incidence (a composite of myocardial infarction, stroke or cardiovascular death), and their interaction with Mediterranean diet interventions.

METHODS AND RESULTS

Case-cohort study from the PREDIMED trial involving participants aged 55-80 years at high cardiovascular risk, allocated to MedDiets or control diet. A subcohort of 791 participants was selected at baseline, and a total of 231 cases were identified after a median follow-up of 4.8 years. Nine plasma CAC-related metabolites (pyruvate, lactate, citrate, aconitate, isocitrate, 2-hydroxyglutarate, fumarate, malate and succinate) were measured using liquid chromatography-tandem mass spectrometry. Weighted Cox multiple regression was used to calculate hazard ratios (HRs). Baseline fasting plasma levels of 3 metabolites were associated with higher CVD risk, with HRs (for each standard deviation, 1-SD) of 1.46 (95%CI:1.20-1.78) for 2-hydroxyglutarate, 1.33 (95%CI:1.12-1.58) for fumarate and 1.47 (95%CI:1.21-1.78) for malate (p of linear trend <0.001 for all). A higher risk of CVD was also found for a 1-SD increment of a combined score of these 3 metabolites (HR = 1.60; 95%CI: 1.32-1.94, p trend <0.001). This result was replicated using plasma measurements after one-year. No interactions were detected with the nutritional intervention.

CONCLUSION

Plasma 2-hydroxyglutarate, fumarate and malate levels were prospectively associated with increased cardiovascular risk.

CLINICAL TRIAL NUMBER

ISRCTN35739639.

Sex differences in the intergenerational link between maternal and neonatal whole blood DNA methylation: a genome-wide analysis in 2 birth cohorts

BACKGROUND

The mother-child inheritance of DNA methylation (DNAm) variations could contribute to the inheritance of disease susceptibility across generations. However, no study has investigated patterns of mother-child associations in DNAm at the genome-wide scale. It remains unknown whether there are sex differences in mother-child DNAm associations.

RESULTS

Using genome-wide DNAm profiling data (721,331 DNAm sites, including 704,552 on autosomes and 16,779 on the X chromosome) of 396 mother-newborn pairs (54.5% male) from the Boston Birth Cohort, we found significant sex differences in mother-newborn correlations in genome-wide DNAm patterns (Spearman's rho = 0.91-0.98; p = 4.0 × 10-8), with female newborns having stronger correlations. Sex differences in correlations were attenuated but remained significant after excluding X-chromosomal DNAm sites (Spearman's rho = 0.91-0.98; p = 0.035). Moreover, 89,267 DNAm sites (12.4% of all analyzed, including 88,051 [12.5% of analyzed] autosomal and 1,216 [7.2% of analyzed] X-chromosomal sites) showed significant mother-newborn associations in methylation levels, and the top autosomal DNAm sites had high heritability than the genome-wide background (e.g., the top 100 autosomal DNAm sites had a medium h2 of 0.92). Additionally, significant interactions between newborn sex and methylation levels were observed for 11 X-chromosomal and 4 autosomal DNAm sites that were mapped to genes that have been associated with sex-specific disease/traits or early development (e.g., EFHC2, NXY, ADCYAP1R1, and BMP4). Finally, 18,769 DNAm sites (14,482 [77.2%] on the X chromosome) showed mother-newborn differences in methylation levels that were significantly associated with newborn sex, and the top autosomal DNAm sites had relatively small heritability (e.g., the top 100 autosomal DNAm sites had a medium h2 of 0.23). These DNAm sites were mapped to 2,532 autosomal genes and 978 X-chromosomal genes with significant enrichment in pathways involved in neurodegenerative and psychological diseases, development, neurophysiological process, immune response, and sex-specific cancers. Replication analysis in the Isle of Wight birth cohort yielded consistent results.

CONCLUSION

In two independent birth cohorts, we demonstrated strong mother-newborn correlations in whole blood DNAm on both autosomes and ChrX, and such correlations vary substantially by sex. Future studies are needed to examine to what extent our findings contribute to developmental origins of pediatric and adult diseases with well-observed sex differences.

Predicting metabolic response to dietary intervention using deep learning

Due to highly personalized biological and lifestyle characteristics, different individuals may have different metabolic responses to specific foods and nutrients. In particular, the gut microbiota, a collection of trillions of microorganisms living in our gastrointestinal tract, is highly personalized and plays a key role in our metabolic responses to foods and nutrients. Accurately predicting metabolic responses to dietary interventions based on individuals' gut microbial compositions holds great promise for precision nutrition. Existing prediction methods are typically limited to traditional machine learning models. Deep learning methods dedicated to such tasks are still lacking. Here we develop a new method McMLP (Metabolic response predictor using coupled Multilayer Perceptrons) to fill in this gap. We provide clear evidence that McMLP outperforms existing methods on both synthetic data generated by the microbial consumer-resource model and real data obtained from six dietary intervention studies. Furthermore, we perform sensitivity analysis of McMLP to infer the tripartite food-microbe-metabolite interactions, which are then validated using the ground-truth (or literature evidence) for synthetic (or real) data, respectively. The presented tool has the potential to inform the design of microbiota-based personalized dietary strategies to achieve precision nutrition.

Healthy dietary patterns are associated with the gut microbiome in the Hispanic Community Health Study/Study of Latinos

BACKGROUND

Dietary patterns high in healthy minimally processed plant foods play an important role in modulating the gut microbiome and promoting cardiometabolic health. Little is known on the diet-gut microbiome relationship in US Hispanics/Latinos, who have a high burden of obesity and diabetes.

OBJECTIVE

In a cross-sectional analysis, we sought to examine the relationships of 3 healthy dietary patterns-the alternate Mediterranean diet (aMED), the Healthy Eating Index (HEI)-2015, and the healthful plant-based diet index (hPDI)-with the gut microbiome in US Hispanic/Latino adults, and to study the association of diet-related species with cardiometabolic traits.

METHODS

The Hispanic Community Health Study/Study of Latinos is a multi-site community-based cohort. At baseline (2008-2011), diet was assessed by using 2, 24-hour recalls. Shotgun sequencing was performed on stool samples collected in 2014-17 (n = 2444). Analysis of Compositions of Microbiomes 2 (ANCOM2) was used to identify the associations of dietary pattern scores with gut microbiome species and functions, adjusting for sociodemographic, behavioral, and clinical covariates.

RESULTS

Better diet quality according to multiple healthy dietary patterns was associated with a higher abundance of species from class Clostridia, including [Eubacterium] eligens, Butyrivibrio crossotus, and Lachnospiraceae bacterium TF01-11, but functions related to better diet quality differed for the dietary patterns (e.g., aMED with pyruvate:ferredoxin oxidoreductase, hPDI with L-arabinose/lactose transport). Poorer diet quality was associated with a higher abundance of Acidaminococcus intestini and with functions of manganese/iron transport, adhesin protein transport, and nitrate reduction. Some healthy diet pattern-enriched Clostridia species were related to more favorable cardiometabolic traits such as lower triglycerides and waist-to-hip ratio.

CONCLUSIONS

Healthy dietary patterns in this population are associated with a higher abundance of fiber-fermenting Clostridia species in the gut microbiome, consistent with previous studies in other racial/ethnic groups. Gut microbiota may be involved in the beneficial effect of higher diet quality on cardiometabolic disease risk.

Optimal dietary patterns for prevention of chronic disease

Multiple dietary patterns have been associated with different diseases; however, their comparability to improve overall health has yet to be determined. Here, in 205,852 healthcare professionals from three US cohorts followed for up to 32 years, we prospectively assessed two mechanism-based diets and six diets based on dietary recommendations in relation to major chronic disease, defined as a composite outcome of incident major cardiovascular disease (CVD), type 2 diabetes and cancer. We demonstrated that adherence to a healthy diet was generally associated with a lower risk of major chronic disease (hazard ratio (HR) comparing the 90th with the 10th percentile of dietary pattern scores = 0.58-0.80). Participants with low insulinemic (HR = 0.58, 95% confidence interval (CI) = 0.57, 0.60), low inflammatory (HR = 0.61, 95% CI = 0.60, 0.63) or diabetes risk-reducing (HR = 0.70, 95% CI = 0.69, 0.72) diet had the largest risk reduction for incident major CVD, type 2 diabetes and cancer as a composite and individually. Similar findings were observed across gender and diverse ethnic groups. Our results suggest that dietary patterns associated with markers of hyperinsulinemia and inflammation and diabetes development may inform on future dietary guidelines for chronic disease prevention.

Dairy Foods, Weight Change, and Risk of Obesity During the Menopausal Transition

BACKGROUND

Weight gain during the menopausal transition is common. Dairy consumption may impact weight change during this critical period, and different dairy foods may have different effects.

OBJECTIVES

This study aimed to investigate the associations of different types of dairy foods with weight gain and risk of obesity in perimenopausal women from the Nurses' Health Study II cohort.

METHODS

The examination at menopause was selected as the exam closest to the reported age at menopause. Weight change during 12 y surrounding menopause was derived from self-reported weight data for 3 exams before and 3 after menopause. The mean age of the first weight measure was 45.8 y and the average BMI was 25.0 kg/m2. Dairy food intakes were estimated as mean intakes over the same 12 y. Generalized linear models were used to assess the association between dairy foods and annualized weight change. Cox proportional hazard models were used to estimate the adjusted relative risks for becoming obese over 12 y surrounding menopause.

RESULTS

In longitudinal analyses, those with the highest yogurt intakes had the lowest weight gain at every exam. This was not the case for other forms of dairy. After adjusting for potential covariates, those consuming ≥2.0 servings/wk of yogurt (compared with <1.0 serving/month) had a 31% (RR: 0.69; 95% CI: 0.64, 0.74) lower risk of obesity. The highest total dairy intake (≥2.0 servings/d compared with <1.0) was associated with only a 12% (RR: 0.88; 95% CI: 0.82, 0.95) reduction in obesity risk. Higher activity levels and alternative healthy eating index scores were independently associated with statistically significant reductions in risk of obesity, but higher intakes of yogurt strengthened these beneficial associations.

CONCLUSION

Yogurt intake was associated with less weight gain and lower obesity risk in women during the menopausal transition.

Abstract P152: Joint Association of Sugar- and Artificially-Sweetened Beverage Consumption and Physical Activity and Risk of Type 2 Diabetes in US Adults

Background: Consumption of sugar-sweetened beverages (SSBs) or artificially sweetened beverages (ASBs) and physical activity are independently associated with type 2 diabetes (T2D) risk; however, it is unknown whether there is an interaction of SSB/ASB intake and physical activity on risk of T2D.

Methods: We examined the independent and joint associations between habitual SSB/ASB intake and physical activity with incident T2D risk among 196,101 women and men from the Nurses’ Health Study (NHS, 1980-2016), NHSII (1991-2017), and Health Professional’s Follow-up Study (HPFS, 1986-2016), who were free from chronic diseases at baseline. Cox proportional hazards regressions were used to estimate hazard ratios and 95% confidence intervals (HR; CI), adjusting for demographic and lifestyle T2D risk factors.

Results: There were 20,430 incident T2D cases over follow-up of 36, 26, and 30 years in NHS, NHSII, and HPFS, respectively. In multivariable-adjusted models, we confirmed that participants with higher SSBs, ASBs and lower physical activity were independently at higher T2D risk, compared to lower intakes and higher activity levels. In joint analyses for these exposures, participants who did not meet physical activity guidelines and consumed gt 2 servings/day of SSBs had a significantly higher risk of T2D than those who met physical activity guidelines and never/rarely consumed SSBs (1.51; 1.43, 1.60); we observed similar findings for ASBs: 1.29; 1.23, 1.36). Among participants who met physical activity guidelines, those who consumed gt 2 servings/day of SSBs had a HR of 1.23 (1.16, 1.30); the HR for ASBs was 1.07 (1.02, 1.13). Consistent results were observed for women and men.

Conclusions: Long-term habitual intake of SSBs or ASBs combined with lower physical activity was associated with higher risk of T2D in three large prospective cohort studies. These findings suggest that even when individuals are physically active, higher consumption of SSBs is associated with a higher risk of T2D. Our results support recommendations and policies to limit the intake of SSB and increase physical activity levels.

Abstract 21: Ultra-Processed Food Consumption is Associated With Higher Coronary Heart Disease Risk in United States Women From Two Large Prospective Cohorts

Introduction: Ultra-processed foods (UPF) are associated with cardiovascular disease (CVD) in European populations. Evidence is limited from U.S. populations, for specific UPF subgroups, and in the diet quality context.

Hypothesis: We hypothesized that U.S. women with higher UPF intake have higher CVD risk and evaluated this association by UPF subgroup and diet quality.

Methods: Women from the Nurses' Health Study (NHS; n=75,639; 30-55y) and NHSII (n=90,770; 25-42y) with complete dietary intake data and without CVD/cancer at baseline were prospectively followed (1984-2014 and 1991-2015). Diet, demographics, lifestyle, and medical history were assessed every 2-4y using validated food frequency questionnaires and follow-up questionnaires. NOVA-classified UPF (% of energy) included ten subgroups: bread and cereals; sauces, spreads, and condiments; sweet snacks and desserts; savory snacks; sugar-sweetened beverages; animal-based products; ready-to-eat/heat dishes; yogurt and dairy desserts; hard liquors, and artificially sweetened beverages. The Alternative Healthy Eating Index (AHEI) measured diet quality. Primary outcomes were non-fatal myocardial infarction, fatal coronary heart disease (CHD), and non-fatal/fatal stroke. Multivariable-adjusted Cox regression estimated the associations of cumulatively-averaged UPF and subgroup intake quintiles with CVD risk. Each cohort was analyzed separately, and data were meta-analyzed (fixed effects models).

Results: We identified 7,659 CVD cases (CHD=3,889; stroke=3,855) in NHS during 2,002,986 person-years of follow-up, and 1,588 CVD cases (CHD=807; stroke=786) in NHSII during 2,308,569 person-years. Pooled multivariable-adjusted hazard ratios [HRs (95%CIs)] of CVD, CHD, and stroke for the highest quintile of UPF intake ( vs. lowest) were 1.11 (1.04, 1.19; p-trend =0.002), 1.18 (1.08, 1.30; p-trend <0.001), and 1.05 (0.95, 1.15; p-trend =0.37), respectively. Positive associations remained for participants with higher diet quality (AHEI above the sample median): CVD [HR=1.15 (1.05, 1.25; p-trend =0.009)] and CHD [HR=1.24 (1.09, 1.41; p-trend =0.007)]. Values of I 2 were non-significant. For UPF subgroups, intake for the highest quintile of sugar-sweetened beverages and animal-based products was significantly associated with higher risk of CVD, CHD, and stroke. Significant inverse associations were noted for bread and cereals and yogurt and dairy dessert with CVD, CHD, and stroke, for savory snacks with CHD, and for ready-to-eat/heat dishes with stroke.

Conclusion: U.S. women with long-term higher total UPF intake had a higher CHD risk, even with a high-quality diet. Sugary drinks and animal-based products were predominant for CVD risk. Some UPF subgroups may contain beneficial components, warranting more nuanced food subgroup analyses. Replication is needed in racially/ethnically-diverse populations.

Abstract MP66: The Interplay Between Diet, Circulating Indolepropionate Concentrations, and Cardiometabolic Health in US Populations

Background: Indolepropionate (IPA), a tryptophan metabolite of human gut microbiota origin, is associated with lower risk of type 2 diabetes (T2D) in humans. The complex interplay among tryptophan intake, the gut microbiome, prebiotics, circulating IPA concentrations, and T2D risk has not been investigated.

Objectives: We aimed to identify IPA-producing gut microbiota species and investigate potential diet-microbiota interaction on circulating IPA concentrations.

Methods: We included 287 men from the Men’s Lifestyle Validation Study, a sub-study of the Health Professionals Follow-Up Study (HPFS), who provided up to two pairs of fecal samples and two blood samples approximately six months apart. Dietary intake was assessed using 7-day diet records. We identified microbial taxonomic features associated with plasma IPA concentrations using generalized linear regression and calculated a rank-based species score to reflect IPA-producing potential. Associations between plasma concentrations of tryptophan metabolites and T2D risk were examined in 13,032 participants from Nurses’ Health Study (NHS), NHSII, and HPFS.

Results: Plasma IPA concentrations were associated with overall gut microbial profiles (permutational analysis of variance test, p=0.001). We identified 17 microbial species, such as Eubacterium eligens, Butyrivibrio crossotus , and Faecalibacterium prausnitzii , whose abundance was significantly associated with increased plasma IPA concentrations (false discovery rate < 0.05). A significant association between higher tryptophan intake and higher IPA concentrations was only observed among men who had higher fiber intake and a higher microbial species score consisting of the 17 species (p-interaction < 0.01). Similar modulation was also observed for major tryptophan food contributors including vegetables (p-interaction < 0.01), red/processed meat (p-interaction = 0.02), egg (p-interaction 0.01), dairy (p-interaction = 0.01), and whole grain (p-interaction < 0.01). Moreover, interactions persisted for all fiber subtypes (soluble/insoluble fiber and pectin). We documented 1,744 incident T2D cases during 218,603 person-years of follow-up. Plasma concentrations of tryptophan and three kynurenine-pathway metabolites (kynurenine, xanthurenate, and quinolinate) were positively associated with T2D risk while an inverse association was found for IPA.

Conclusions: Specific microbial species and dietary fiber jointly modulate the associations between tryptophan intake and circulating IPA concentrations. In a subsequent analysis, IPA levels were predictive of lower T2D risk. Our findings suggest that the health effects of dietary tryptophan may depend on both gut microbiome composition and prebiotic consumption.

Abstract MP07: Changes in Weight From Sugar- or Artificially-Sweetened Beverages or Water Intake in a Prospective Cohort

Background: It is still unclear if sustained intake of artificially sweetened beverages (ASB) in lieu of sugar-sweetened beverages (SSB) is associated with long-term weight reduction or maintenance. This study aimed to evaluate the long-term changes in weight and BMI in relation to changes in ASB intake, and to estimate the effects of replacing SSB with ASB or water on body weight.

Hypothesis: Habitual ASB intake is unrelated to weight or BMI changes. The modeled substitutions are expected to show a reduction in weight and BMI, larger for water than for ASB.

Methods: We used data from the Nurses' Health Study I, a prospective cohort study conducted among female US nurses aged 39 to 65y at enrolment and assessed every four years from 1986 to 2010. Food-frequency questionnaires evaluated usual dietary intake including beverages (in 12 oz servings/day). Self-administered questionnaires collected lifestyle and anthropometric information. We excluded participants with any major disease at baseline (e.g., diabetes, cancer, cardiovascular disease), and censored those reaching 65 years during follow-up. Pregnant or lactating women were not considered during these periods. We evaluated the association between changes in ASB intake with changes in weight and BMI using generalized estimating models adjusting for multiple dietary and lifestyle risk factors. Substitution models assessed how replacing SSB with ASB, SSB with water, or ASB with water relates to weight and BMI changes, adjusting for the same covariates.

Results: Among 51,805 participants, 64.6% consumed ASB at baseline averaging 0.25 ± 0.53 servings/day. Over 4-year follow-up intervals, a one-serving/day increase of ASB was associated with an estimated weight change of -0.06 kg (95% CI: -0.11, -0.02) and BMI change of -0.02 kg/m 2 (95% CI: -0.04, -0.01). Substituting SSB with ASB was associated with -0.37 kg change in weight (95% CI: -0.41, -0.33) and -0.14 kg/m 2 in BMI (95% CI: -0.17, -0.11). Similar estimates were observed when replacing SSB with water ( β =-0.35 kg, 95% CI: -0.41, -0.30 for weight and β =-0.13, kg/m 2 , 95% CI: -0.15, -0.11 for BMI). Substituting ASB with water was not associated with changes in weight ( β =-0.004 kg, 95% CI: -0.05, 0.04) or BMI ( β =-0.0002 kg/m 2 , 95% CI: -0.02, 0.02).

Conclusion: A long-term daily increase in ASB intake was not associated with greater weight gain in US women. Replacing SSB with ASB was associated with significantly less weight gain, likely by reducing energy intake. Change in water was not associated with weight changes, suggesting it may help sustain weight maintenance when replacing SSB. Future studies should evaluate the roles of changes in intakes of water, ASB, and SSB in relation to changes in other weight- and metabolically-related outcomes in diverse populations of both sexes.

Abstract MP36: Long-Term Dietary Lignan Intake and Weight Change: Results From Three Prospective Cohort Studies

Objectives: Studies suggest that endogenous estrogen may be involved in regulating body weight. Dietary lignans can act as estrogen receptor agonists and may be beneficial for weight control. We prospectively examined the association between changes in dietary lignan intake with weight change.

Methods: We analyzed data from 124,875 men and women in the Nurses’ Health Study (1986-2010), Nurses’ Health Study II (1991-2011), and the Health Professionals Follow-up Study (1986-2010). We calculated 4-year changes in total lignan intake as well as in four major individual lignans (matairesinol, secoisolariciresinol, pinoresinol, and lariciresinol) using data from a semi-quantitative food frequency questionnaire. Participants reported their height and weight at baseline and updated their current weight every 2 years thereafter, from which we calculated 4-year changes in weight as the primary study outcome. We used multivariable generalized linear regression models to examine the association between 4-year changes in lignan intake with 4-year weight changes over the same period, and these models were adjusted for age, baseline BMI in each period, and relevant lifestyle factors.

Results: Each 1-standard deviation (SD) increase in total lignan intake was associated with a 4-year weight change of -0.36 lbs (95% confidence interval [CI] -0.40 to -0.33 lbs; P for trend <0.0001). This inverse association persisted among all four individual lignans, although the magnitude of this association was the strongest for lariciresinol (-0.63 lbs [95% CI, -0.67 to -0.59 lbs]; P for trend <0.0001) (Figure) . The observed associations were stronger among certain subgroups, including those with BMI ≥25 kg/m 2 , below-median diet quality, or below-median physical activity level.

Conclusions: Increases in dietary lignan intake were associated with less weight gain over the same 4-year period. Our findings support existing dietary recommendations to consume a healthy plant-based diet.

Abstract P203: Healthy Lifestyle Plasma Metabolite Profile and Risk of Mortality in US Prospective Cohort Studies

Background: A healthy lifestyle is associated with a lower risk of premature death. Metabolic pathways of a healthy lifestyle and their association with mortality remain to be understood. This study aimed to identify the metabolomic profile of a healthy lifestyle score and examine its prospective association with all-cause and cause-specific mortality, including death from cardiovascular disease (CVD) and cancer.

Methods: The population included 12,146 participants from the Nurses’ Health Study (NHS), NHS II and Health Professionals Follow-Up Study (HPFS)(83% women, 97% white, aged 55±9y). Plasma metabolites were profiled using high-throughput liquid chromatography mass-spectrometry at baseline (NHS:1989-1990; NHSII:1996-1999; HPFS:1993-1995). The healthy lifestyle score was computed by summing the total number of healthy lifestyle factors participants adhered to from validated questionnaires at baseline: healthy diet (Alternative Healthy Eating Index, upper 40%), moderate alcohol intake (women: 5-15 g/d; men: 5-30 g/d), moderate-to-vigorous physical activity (≥30min/d), never smoking and normal BMI (18.5-24.9kg/m 2 ). Deaths were ascertained with death certificates and medical records. The metabolite profile was identified using elastic net regressions with train test validation split (70-30%). Metabolic pathways were determined using Metabolite Set Enrichment Analysis (MSEA). Multivariable-adjusted Cox proportional hazards regressions were used to estimate hazard ratios and 95% confidence intervals (HR[CI]) per unit of score of the healthy lifestyle metabolite profile with mortality risk.

Results: The identified profile included 88 metabolites and correlated with the healthy lifestyle score (Pearson r=0.43-0.44; p<0.001). Triglyceride and diglyceride metabolite sets were inversely associated with the healthy lifestyle score, whereas cholesteryl ester and phosphatidylcholine plasmalogen sets were directly associated (p<0.001). Among individual lifestyle factors, the profile was most strongly correlated with normal BMI (r pb =0.43; p<0.001). Over 32y of follow-up, there were 3,851 deaths, including 749 deaths from CVD and 994 from cancer. Participants with a higher healthy lifestyle metabolite profile score had lower risk of all-cause (HR=0.79[0.73, 0.85]) and CVD mortality (HR=0.77[0.58, 0.95]), but not cancer (HR=0.91[0.77, 1.05]). Significant associations persisted after further adjustment for the healthy lifestyle score.

Conclusions: In US adults, we identified a metabolite profile related to a healthy lifestyle largely reflecting lipid metabolism pathways. A higher metabolite score was associated with lower subsequent all-cause mortality risk, specifically from CVD. Findings provide novel insights into potential metabolic pathways underlying the association between a healthy lifestyle and lower premature mortality.

Abstract P245: Early Pregnancy Exposure to Per- And Polyfluoroalkyl Substances and Thyroid Function Throughout Gestation: A Longitudinal Study

Introduction: Thyroid function during pregnancy is pivotal for both maternal and fetal health. Data on environmental determinants of thyroid function in pregnancy are yet limited. We prospectively investigated associations of early pregnancy per- and polyfluoroalkyl substances (PFAS), known environmental endocrine disruptors, with thyroid function longitudinally measured throughout pregnancy.

Hypothesis: Early pregnancy PFAS exposure adversely affects thyroid function.

Methods: Within the NICHD Fetal Growth Studies-Singleton Cohort, we enrolled 2,802 pregnant women at gestational weeks (gw) 10-14 and measured concentrations of 9 PFAS (NMeFOSAA, PFDA, PFDoDA, PFDS, PFHpA, PFHxS, PFNA, PFOA, PFOS, PFOSA, PFUnDA) in plasma samples collected at enrollment. In a subsample of 321 pregnant women, we determined thyroid markers (fT3, fT4, TSH) at gw 10-14, 15-26, 23-31, 33-39. Associations were assessed with multivariable regressions per standard deviation increase in ln-transformed PFAS (ng/ml), adjusting for age, body mass index, diet, lifestyle and socio-economic factors, and plasma lipids.

Results: Plasma PFAS in early pregnancy were associated with markers of thyroid function throughout pregnancy. The associations varied by gestational age. Higher levels of several PFAS were associated with lower TSH and higher fT3 and fT4 levels at gw 10-14. Adjusted beta coefficients [95%CI] with TSH (mIU/L) were: -1.13 [-2.30, 0.05] for PFOS, -3.15 [-4.45, -1.86] for PFDA, -1.75 [-2.95, -0.55] for NMeFOSAA, -1.68 [-3.00, -0.37] for PFNA, -1.29 [-2.62, 0.03] for PFDoDA, -2.07 [-3.30, -0.83] for PFOA, but 1.11 [0.12, 2.09] for PFHxS. Most of these associations were attenuated to non-significant or changed the direction of the association in later pregnancy (for instance, PFOS-TSH association at gw 10-14: -1.13 [-2.30, 0.05], gw 15-26: 0.98 [0.18, 1.78], gw 23-31: 1.31 [0.50, 2.13], PFDA-TSH association at gw 10-14: -3.15 [-4.45, -1.86], at gw 23-31: 1.13 [0.16, 2.11]). Consistent and positive associations across pregnancy were observed for PFOA-fT3 (at gw 10-14: 0.48 [0.05, 0.91], gw 15-26: 0.41 [0.04, 0.78], gw 23-31: 0.42 [0.02, 0.80] pmol/L) and PFHxS-fT4 (at gw 10-14: 0.12 [0.02, 0.21], gw 15-26: 0.67 [0.54, 0.81], gw 23-31: 0.22 [0.12, 0.33], gw 33-39: 0.14 [0.02, 0.26] ng/dL).

Conclusions: Plasma levels of selected PFAS congeners in early pregnancy are significantly associated with thyroid markers in pregnancy. The associations varied by gestational timing. These findings indicate a potential environmental impact on thyroid function. In perspective, multiple assessments of PFAS and thyroid markers throughout pregnancy might be necessary and relevant for conducting gestational age-specific interventional trials.

Abstract P214: The Portfolio Dietary Pattern and Risk of Cardiovascular Disease in US Adults

Introduction: The plant-based portfolio dietary pattern includes recognized cholesterol-lowering foods shown to improve several cardiovascular disease (CVD) risk factors in clinical trials. Epidemiological evidence on the association between longer-term adherence to the portfolio dietary pattern and CVD risk remains more limited.

Objective: To examine whether the portfolio dietary pattern is associated with the risk of total CVD, coronary heart disease (CHD, including myocardial infarction and fatal coronary deaths), and stroke.

Methods: Participants included 73,925 women in the Nurses’ Health Study (NHS) (1984-2014), 92,354 women in the NHS2 (1991-2017) and 43,970 men from the Health Professionals Follow-up Study (HPFS) (1986-2016) without CVD and cancer at baseline. Diet was assessed using validated food frequency questionnaires at baseline and every four years using a portfolio diet score (PDS) which positively ranks plant protein (soy & pulses), nuts, viscous fiber sources, phytosterols (mg/day) and plant monounsaturated fat sources, and negatively ranks foods high in saturated fat and dietary cholesterol. Cox proportional hazards regressions were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs), adjusted for covariates.

Results: During up to 30 years of follow-up, 16,917 incident CVD cases, including 10,666 CHD cases and 6,473 stroke cases, were documented. After multivariable adjustment of lifestyle and other dietary factors, comparing the highest to the lowest quintile, participants with a higher PDS had a lower risk of total CVD (pooled HR: 0.84; 95% CI: 0.80-0.89, P trend<0.001), CHD (pooled HR: 0.82; 95% CI: 0.76-0.87, P trend<0.001) and stroke (pooled HR: 0.88; 95% CI: 0.81-0.97, P trend=0.001). In addition, a 25-percentile higher PDS was associated with a lower risk of total CVD (pooled HR: 0.91; 95% CI: 0.88-0.93), CHD (pooled HR: 0.89; 95% CI: 0.86-0.92) and stroke (pooled HR: 0.93; 95% CI: 0.89-0.97). Results remained largely consistent across sensitivity and subgroup analyses.

Conclusions: Greater adherence to the portfolio dietary pattern was consistently associated with lower risk of CVD, including CHD and stroke, in three large prospective cohorts of U.S. men and women.

Abstract P324: Female Reproductive Factors and Risk of Type 2 Diabetes and Cardiovascular Disease Among Women With a History of Gestational Diabetes

Introduction: The link between gestational diabetes mellitus (GDM) and long-term risk of type 2 diabetes (T2D) and cardiovascular disease (CVD) is well established; however, risk factors underlying the progression of disease remain uncertain.

Hypothesis: Female reproductive factors including ages at menarche, menopause, and first birth, number of live births, and surgically-induced menopause (uni- or bilateral oophorectomy or hysterectomy) are associated with higher risk of progression, while breastfeeding is associated with lower risk of progression from GDM to T2D/CVD.

Methods: Participants in the Nurses’ Health Study II reported reproductive history at cohort baseline and over follow-up, including 5346 women with a history of GDM. Self-reported incident T2D or CVD (myocardial infarction, coronary revascularization or stroke) were confirmed via questionnaire or medical records. We estimated the hazard ratios (HR [95%]) across quintiles of each reproductive factor with incident T2D and CVD using Cox models adjusting for age, race/ethnicity, smoking, BMI at 18 years, physical activity, family history of T2D or CVD, alcohol intake, menopausal status, aspirin use, and Alternate Healthy Eating Index.

Results: We documented 988 incident T2D and 149 CVD cases over 25 years of follow-up. In adjusted models, higher total lactation duration was associated with lower risk of T2D (5 categories: 0, 1-6, 7-12, 13-24, >24 months, p for trend=0.01; highest vs. lowest category: HR 0.77 [95%CI: 0.60, 0.98]) and CVD (p for trend=0.03, HR 0.39 [95%CI: 0.19, 0.80]). Early age at menarche was linearly associated with higher risk of T2D (5 categories: ≤11, 12, 13, 14, >14 y: p for trend <0.0001), lowest (≤11 y) vs. reference (13 y) category: HR 1.28 [95%CI: 1.06, 1.53], while no trend could be observed for CVD outcomes (p for trend=0.48). Higher age at 1 st birth was associated with lower CVD risk (5 categories: <23, 23-25 [reference], 26-29, 30-34, ≥35 y, p for trend=0.001; highest vs reference category: HR 0.17 [95%CI: 0.05, 0.57]), but not T2D). Compared with natural menopause, surgically induced menopause was associated with higher T2D risk: 1.32 (1.00, 1.73). Number of live births and age at menopause were not associated with T2D or CVD among women with GDM history.

Conclusions: Breastfeeding was associated with lower T2D and CVD risks among women with GDM history, suggesting some shared risk factors or etiologies across reproductive lifespan and long-term cardiometabolic health. Ages at menarche and 1 st birth showed differential associations with T2D and CVD.

Abstract P216: Carbohydrate Quantity and Quality, and Risk of Type 2 Diabetes: Results From Three Large Prospective US Cohorts

Background: High-quality carbohydrate sources, such as whole grains, have been associated with a lower risk of type 2 diabetes (T2D), whereas low-quality carbohydrate sources, such as refined grains and added sugar, have been associated with a higher T2D risk. However, few studies have considered how replacing dietary carbohydrate with other macronutrients may influence T2D risk.

Objective: We examined whether isocaloric substitution of high- or low-quality carbohydrate for fat, protein, and their subtypes is associated with T2D risk.

Methods: We included 75,430 women from the Nurses' Health Study (1984-2016), 85,630 women from the Nurses' Health Study II (1991-2017), and 40,261 men from the Health Professionals Follow-Up Study (1986-2016) who were free of T2D, CVD, and cancer at baseline. Dietary data were collected every 2-4 years using a validated, semi-quantitative food frequency questionnaire. High-quality carbohydrate was defined as carbohydrate from whole grains, fruits, vegetables, and legumes. Low-quality carbohydrate was defined as carbohydrate from refined grains, added sugars, and potatoes. We used Cox proportional hazards regression with time-varying covariates to model the substitution of 5% of energy intake from high- and low-quality carbohydrate for isocaloric amounts of fat, protein, and their subtypes [polyunsaturated fat (PUFA), animal and plant monounsaturated fat (MUFA), saturated fat, trans fat, and animal and plant protein]. Cohort-specific estimates were combined using inverse variance-weighted fixed effects meta-analyses.

Results: During 4,859,845 years of follow-up, we documented 20,141 incident T2D cases. In multivariable-adjusted meta-analyses, isocaloric substitution of high-quality carbohydrate for total fat [HR (95% CI) 0.94 (0.93, 0.96)], total MUFA [0.95 (0.91, 0.98)], MUFA from animal sources [0.92 (0.88, 0.95)], total protein [0.91 (0.89, 0.94)], or animal protein [0.94 (0.91, 0.97] was associated with a lower T2D risk. On the other hand, the substitution of low-quality carbohydrate for plant MUFA [1.06 (1.02-1.10)] or plant protein [1.06 (1.02-1.11)] was associated with a higher risk of T2D. When we restricted high-quality carbohydrate sources to whole grains, the results were similar or stronger. Additionally, substitution of whole grain carbohydrate for saturated fat [0.87 (0.84, 0.91)], trans fat [0.87 (0.83, 0.92)], PUFA [0.88 (0.84, 0.92)], plant MUFA [0.92 (0.87, 0.96)], or plant protein [0.91 (0.86, 0.97)] was associated with lower T2D risk.

Conclusions: The effect of carbohydrate substitution on T2D risk depends not only on the nutrient being substituted but also on the quality of the carbohydrate. Substitution of high-quality carbohydrate, especially carbohydrate from whole grains (i.e. whole wheat bread, oatmeal), for fat or protein, especially animal sources (i.e. beef, poultry), may lower T2D risk.

Nuts, Energy Balance and Body Weight

Over several decades, the health benefits of consuming nuts have been investigated, resulting in a large body of evidence that nuts can reduce the risk of chronic diseases. The consumption of nuts, being a higher-fat plant food, is restricted by some in order to minimize weight gain. In this review, we discuss several factors related to energy intake from nuts, including food matrix and its impact on digestibility, and the role of nuts in regulating appetite. We review the data from randomized controlled trials and observational studies conducted to examine the relationship between nut intake and body weight or body mass index. Consistently, the evidence from RCTs and observational cohorts indicates that higher nut consumption does not cause greater weight gain; rather, nuts may be beneficial for weight control and prevention of long-term weight gain. Multiple mechanisms likely contribute to these findings, including aspects of nut composition which affect nutrient and energy availability as well as satiety signaling.

Nuts and Cardiovascular Disease Outcomes: A Review of the Evidence and Future Directions

Nuts are nutrient-rich foods that contain many bioactive compounds that are beneficial for cardiovascular health. Higher consumption of nuts has been associated with a reduced risk of several cardiovascular diseases (CVD) in prospective cohort studies, including a 19% and 25% lower risk of CVD incidence and mortality, respectively, and a 24% and 27% lower risk of coronary heart disease incidence and mortality, respectively. An 18% lower risk of stroke mortality, a 15% lower risk of atrial fibrillation, and a 19% lower risk of total mortality have also been observed. The role of nuts in stroke incidence, stroke subtypes, peripheral arterial disease and heart failure has been less consistent. This narrative review summarizes recommendations for nuts by clinical practice guidelines and governmental organizations, epidemiological evidence for nuts and CVD outcomes, nut-containing dietary patterns, potential mechanisms of nuts and CVD risk reduction, and future research directions, such as the use of biomarkers to help better assess nut intake. Although there are still some uncertainties around nuts and CVD prevention which require further research, as summarized in this review, there is a substantial amount of evidence that supports that consuming nuts will have a positive impact on primary and secondary prevention of CVD.