Changes In Cardiometabolic Risk Factors Research Articles

Neighborhood physical environments and change in cardiometabolic risk factors over 14 years in the study of Women's health across the nation

BackgroundNeighborhood physical environments may influence cardiometabolic health, but prior studies have been inconsistent, and few included long follow-up periods. MethodsChanges in cardiometabolic risk factors were measured for up to 14 years in 2830 midlife women in the Study of Women's Health Across the Nation, a multi-ethnic/racial cohort of women from seven U.S. sites. Data on neighborhood food retail environments (modified Retail Food Environment Index) and walkability (National Walkability Index) were obtained for each woman's residence at each follow-up. Data on neighborhood access to green space, parks, and supermarkets were available for subsets (32–42%) of women. Models tested whether rates of change in cardiometabolic outcomes differed based on neighborhood characteristics, independent of sociodemographic and health-related covariates. ResultsLiving in more (vs. less) walkable neighborhoods was associated with favorable changes in blood pressure outcomes (SBP: −0.27 mmHg/year, p = 0.002; DBP: −0.22 mmHg/year, p < 0.0001; hypertension status: ratio of ORs = 0.79, p < 0.0001), and small declines in waist circumference (−0.09 cm/year, p = 0.03). Small-magnitude associations were also observed between low park access and greater increases in blood pressure outcomes (SBP: 0.37 mmHg/year, p = 0.003; DBP: 0.15 mmHg/year, p = 0.04; hypertension status: ratio of ORs = 1.16, p = .04), though associations involving DBP and hypertension were only present after adjustment for sociodemographic variables. Other associations were statistically unreliable or contrary to hypotheses. ConclusionNeighborhood walkability may have a meaningful influence on trajectories of blood pressure outcomes in women from midlife to early older adulthood, suggesting the need to better understand how individuals interact with their neighborhood environments in pursuit of cardiometabolic health.

One Avocado per Day as Part of Usual Intake Improves Diet Quality: Exploratory Results from a Randomized Controlled Trial

BackgroundFew clinical trials have evaluated diet quality change as a predictor of intervention effectiveness. ObjectivesThe aim of this study was to examine changes in the Healthy Eating Index (HEI)-2015 after a food-based intervention, and assess the associations between HEI-2015 change and intervention effects on cardiometabolic risk–related outcomes. MethodsThe Habitual Diet and Avocado Trial was a 26-wk, multicenter, randomized, controlled parallel-arm study. Participants were 1008 individuals aged ≥25 y with abdominal obesity (females ≥ 35 inches; males ≥ 40 inches). The avocado-supplemented diet group was provided 1 avocado per day, and the habitual diet group maintained their usual diet. Change in diet quality was assessed using the HEI-2015 from a single 24-h recall conducted at 4 time points. Mixed models were used for analysis. ResultsThe avocado-supplemented diet group had a greater increase in the HEI-2015 (4.74 points; 95% CI: 2.93, 6.55) at 26 wk than the habitual diet group. Compared with the habitual diet group, the avocado-supplemented diet group had greater increases in the following HEI-2015 components from baseline: total vegetables (0.99 points; 95% CI: 0.77, 1.21), fatty acid ratio (2.25 points; 95% CI: 1.74, 2.77), sodium (1.03 points; 95% CI: 0.52, 1.55), refined grains (0.82 points; 95% CI: 0.32, 1.31), and added sugars (0.84 points; 95% CI: 0.49, 1.19). No differences in HEI-2015 improvements were observed by race, ethnicity, study site, body mass index, or age category. In the avocado-supplemented diet compared with the habitual diet group, the HEI-2015 increased in females (6.50 points; 95% CI: 4.39, 8.62) but not in males (0.02 points; 95% CI: −3.44, 3.48). Median HEI-2015 change was not associated with intervention-related changes in cardiometabolic disease risk factors. ConclusionsIntake of 1 avocado per day for 26 wk in adults with abdominal obesity increased adherence to the Dietary Guidelines for Americans. Changes in diet quality did not predict changes in risk factors for cardiometabolic disease.This trial was registered at clinicaltrials.gov as NCT03528031 (https://clinicaltrials.gov/study/NCT03528031).

From adolescence to adulthood: Mediterranean diet adherence and cardiometabolic health in a prospective cohort study

Background and aimsRecent investigations suggest that specific dietary patterns during adolescence may predict cardiometabolic complications later in life. In this study, we aimed to examine the association between Mediterranean diet score (MDS) during adolescence and cardiometabolic outcomes when participants reached adulthood. Methods and resultsThis cohort study was conducted on 668 subjects, aged 10–19 years, in framework of the Tehran Lipid and Glucose Study. The MDS was determined based on eight components using a validated food-frequency questionnaire. Anthropometric measurements, fasting blood glucose (FBG), and lipid profile data were measured both at baseline and after a 6.8 ± 2.9-year follow-up. Using multivariable linear regression, we explored the association between MDS and changes in cardiometabolic risk factors. Moreover, multivariable-adjusted cox proportional hazard regression was used to estimate hazard ratios (HR) and 95 % confidence intervals (CIs) for cardiometabolic complications across MDS tertiles. The mean ± SD age of participants (43.5 % men) was 15.8 ± 2.47 years. The mean ± SD of MDS was 4.03 ± 1.56, with a median of 4.00 among all participants. Higher MDS was inversely associated with 6.8-year changes in waist circumference (WC), FBG, total cholesterol (TC), and high-density lipoprotein-cholesterol (Ptrend<0.05). Based on the HR analysis, after controlling for potential confounders, individuals in the highest tertile of MDS had a significantly lower risk of high-TC(HR = 0.36,95%CI:0.18–0.74,Ptrend = 0.004) compared to those in the lowest tertile. However, no significant association was observed between MDS and other cardiometabolic risk factors. ConclusionsGreater adolescent adherence to a Mediterranean-type diet was associated with favorable cardiometabolic factors in adulthood, including improving the levels of WC, FBG, TC, as well as reduced risk of high-TC.

Cardiometabolic health across menopausal years is linked to white matter hyperintensities up to a decade later.

The menopause transition is associated with several cardiometabolic risk factors. Poor cardiometabolic health is further linked to microvascular brain lesions, which can be detected as white matter hyperintensities (WMHs) using T2-FLAIR magnetic resonance imaging (MRI) scans. Females show higher risk for WMHs post-menopause, but it remains unclear whether changes in cardiometabolic risk factors underlie menopause-related increase in brain pathology. In this study, we assessed whether cross-sectional measures of cardiometabolic health, including body mass index (BMI) and waist-to-hip ratio (WHR), blood lipids, blood pressure, and long-term blood glucose (HbA1c), as well as longitudinal changes in BMI and WHR, differed according to menopausal status at baseline in 9,882 UK Biobank females (age range 40-70 years, n premenopausal = 3,529, n postmenopausal = 6,353). Furthermore, we examined whether these cardiometabolic factors were associated with WMH outcomes at the follow-up assessment, on average 8.78 years after baseline. Postmenopausal females showed higher levels of baseline blood lipids (HDL = 0.14, p < 0.001, LDL = 0.20, p < 0.001, triglycerides = 0.12, p < 0.001) and HbA1c ( = 0.24, p < 0.001) compared to premenopausal women, beyond the effects of age. Over time, BMI increased more in the premenopausal compared to the postmenopausal group ( = -0.08, p < 0.001), while WHR increased to a similar extent in both groups ( = -0.03, p = 0.102). The change in WHR was however driven by increased waist circumference only in the premenopausal group. While the group level changes in BMI and WHR were in general small, these findings point to distinct anthropometric changes in pre- and postmenopausal females over time. Higher baseline measures of BMI, WHR, triglycerides, blood pressure, and HbA1c, as well as longitudinal increases in BMI and WHR, were associated with larger WMH volumes ( range = 0.03-0.13, p ≤ 0.002). HDL showed a significant inverse relationship with WMH volume ( = -0.27, p < 0.001). Our findings emphasise the importance of monitoring cardiometabolic risk factors in females from midlife through the menopause transition and into the postmenopausal phase, to ensure improved cerebrovascular outcomes in later years.

Mobile health behaviour change support system as independent treatment tool for obesity: a randomized controlled trial

Background/ObjectivesDigital health interventions are increasingly utilized as an adjunct to face-to-face counselling in the treatment of obesity. However, previous studies have shown inconsistent efficacy when digital interventions are used as stand-alone treatment. The purpose of this study was to investigate whether a mobile health behaviour change support system (mHBCSS) is effective in weight reduction and weight loss maintenance without additional counselling. Furthermore, changes in cardiometabolic risk factors were investigated.MethodsIn this randomized controlled trial, a mHBCSS intervention was conducted for 200 volunteers with obesity (BMI 30–40 kg/m² and age 18–65 years). The study participants were randomly assigned into two groups: immediate access to mHBCSS intervention or wait-list control with access to mHBCSS after 6 months. Anthropometric and metabolic traits were also measured. The primary outcome was weight loss from the baseline to the 6-month visit.ResultsAmong 200 participants (88.5% women), mean BMI (SD) was 34.3 kg/m² (2.8) and age 46.5 years (9.5). The retention rate was 98.5% and 89.0% at the 6- and 12-month visits, respectively. At the 6-month visit, those with immediate access to mHBCSS had significantly greater weight loss (−2.5%, 95% CI −3.4 to −1.6, p < 0.001) compared with the wait-list control group (0.2%, 95% CI –0.4 to 0.9, p = 0.466; between groups p < 0.001). Weight loss was maintained until the 12-month time point in the mHBCSS group (−2.1%, 95% CI −3.3 to −0.9, p = 0.001). The usage of mHBCSS had no significant effect on metabolic traits.ConclusionThe mHBCSS as a stand-alone treatment of obesity results in weight reduction and weight loss maintenance with remarkable adherence rate. Further studies are needed to establish how to best implement the scalable and resource-efficient mHBCSS into the standard care of obesity to achieve optimal weight loss results.

Associations of low levels of air pollution with cardiometabolic outcomes and the role of diet quality in individuals with obesity

BackgroundExposure to air pollution is associated with adverse cardiometabolic health effects and increased mortality, even at low concentrations. Some of the biological mechanisms through which air pollution can affect cardiometabolic health overlap with health outcomes associated with diet quality and changes in diet. ObjectiveThe objective of this study is to investigate associations of air pollutants at average concentrations below the World Health Organization, 2021 air quality guidelines with cardiometabolic outcomes. Furthermore, potential interaction between air pollutants and diet quality will be assessed. Methods82 individuals with obesity participated in a combined weight loss and weight loss maintenance study for a total of 33 weeks. A secondary analysis was conducted incorporating air pollution measurements. Data were analysed with linear mixed-effects models. ResultsA total of 17 significant associations were observed for single pollutants with 10 cardiometabolic outcomes, predominantly related to blood lipids, hormones, and glucose regulation. Diet quality, as measured by the Baltic Sea Diet score, did not appear to mediate the association of air pollution with cardiometabolic outcomes, however, diet quality was observed to significantly modify the association of PM2.5 with total cholesterol, and the associations of NO and O3 with ghrelin. DiscussionThese findings suggest that exposure to ambient air pollutants, especially particulate matter, at levels below World Health Organization, 2021 air quality guidelines, were associated with changes in cardiometabolic risk factors. Diet may be a personal-level approach for individuals to modify the impact of exposure to air pollution on cardiometabolic health.

Association of vitamin D with triglyceride-glucose index and cardiometabolic risk factors in subclinical hypothyroidism

BackgroundThe present study aimed to explore the association of vitamin D with triglyceride-glucose (TyG) index and cardiometabolic risk factors in subclinical hypothyroidism (SCH). MethodsWe recruited 75 individuals diagnosed with SCH and 75 healthy controls of both genders aged 20 to 65 years. Triiodothyronine (T3), thyroxine (T4), thyroid stimulating hormone (TSH) and 25-hydroxyvitamin D [25(OH)D] were measured using chemiluminescent immunoassay. Fasting plasma glucose and lipid profile were analyzed by standard methods. The TyG index was calculated as Ln [fasting triglycerides (mg/dL) × fasting glucose (mg/dL)]/2. ResultsThere were significant decreases in 25(OH)D levels and changes in cardiometabolic risk factors among individuals with SCH compared to healthy controls. Additionally, there was a significant increase in the TyG index among the SCH group. Correlation and regression analysis revealed that 25(OH)D was significantly and negatively associated with TyG index, diastolic blood pressure (DBP), total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C) and very low-density lipoprotein cholesterol (VLDL-C). However, it was positively associated with high-density lipoprotein cholesterol (HDL-C). ConclusionPresent study shows that SCH patients have lower vitamin D levels and higher TyG index, increasing cardiovascular disease risk. Screening and managing vitamin D deficiency is crucial in these subjects. In addition, TyG index could be used as an indicator for identifying vitamin D deficiency.

Abstract 17321: Cardiometabolic Risk Increased in All Socioeconomic Status During the Venezuelan Humanitarian Crisis: The EVESCAM Cohort Study

Background: Social determinants of health (SDOH) significantly impact cardiovascular disease (CVD). Poverty is the most important underlying cause of preventable death, disease, and disability, and interacts with other SDOH. Venezuela was declared as suffering a humanitarian crisis, and besides the increase in poverty, other SDOHs such as traumatic stressors, violence, food insecurity, and treatment interruptions increased. This study aimed to estimate the changes in cardiometabolic risk factors (CMRF) in different socioeconomic statuses (SES) during the humanitarian crisis in Venezuela. Methods: Data from the EVESCAM Study was analyzed. The nationally-representative baseline assessment was conducted in 2014-2017 (N=3414) using a multi-stage stratified sampling and further follow-up on a subset of 35% of participants was undertaken in 2018-2020 (N=1257). Changes in CMRF and their prevalence among three SES (Low-SES N=657[52.3%], Middle-SES N=384[30.5%], and High-SES N=216[17.2%]) were compared. Results: There was a decrease in the prevalence of obesity (p=0.001), but an increase in the prevalence of dyslipidemia (total cholesterol ≥200mg/dL, and Low-Density Lipoprotein cholesterol ≥130mg/dL, P=0.001), low Mediterranean diet adherence (p=0.001), and depression (p=0.001) in all SES. Diabetes prevalence decreased only in middle-SES (p=0.01) and low-SES (p=0.03). Anxiety and hypertension did not change significantly. The prevalence of participants with high CVD risk (Globorisk score &gt;20%) increased in all SES (P=0.001). Conclusion: There was an increase in multiple CMRF in all SES during the Venezuelan humanitarian crisis. This scenario could determine a particular pattern of morbidity determined by the interaction of several factors, including a shortage of basic goods, severe hyperinflation, and a breakdown of the healthcare infrastructure. Efforts are needed to improve the health and CVD risk of populations facing humanitarian crises.

Effect of a Nutrition Intervention on Mediterranean Diet Adherence Among Firefighters

US firefighters are a working population at risk of chronic diseases, including obesity, cardiovascular disease, and cancer. This risk may be mitigated by a healthy diet. To evaluate the effect of a Mediterranean nutrition intervention using a behavioral/environmental approach (firefighter/fire station/home) at the individual participant level. This 12-month cluster randomized clinical trial included US career firefighters from fire stations and homes within 2 Indiana fire departments. Participants were randomized by fire station to either Mediterranean diet or control (usual care). The study was conducted from October 2016 to December 2019, and data were analyzed in November 2022. For the first 12 months of the study, firefighters located at fire stations randomized to the intervention group were provided with access to supermarket discounts and free samples of Mediterranean diet foods, online nutrition education platforms, email announcements and reminders, family and peer education and support, and chef demonstrations. Firefighters in fire stations allocated to the control group received no intervention and were instructed to follow their usual diet. Change in dietary habits at 12 months as measured by a modified Mediterranean diet score (range, 0 to 51 points) at baseline and 6-month and 12-month follow-up. Cardiometabolic parameters were secondary outcomes. Of 485 included firefighters, 458 (94.4%) were male, and the mean (SD) age was 47 (7.5) years. A total of 241 firefighters (27 fire stations) were randomized to the Mediterranean nutrition intervention, and 244 (25 fire stations) were randomized to usual diet. Outcomes were analyzed using generalized linear mixed models for modified Mediterranean diet score at 6 months (n = 336) and 12 months (n = 260), adjusting for baseline age, sex, race and ethnicity, fire department, physical activity, and waist circumference. In the intervention group compared with the control group, the modified Mediterranean diet score significantly increased by 2.01 points (95% CI, 0.62-3.40; P = .005) at 6 months and by 2.67 points (95% CI, 1.14-4.20; P = .001) at 12 months. Among secondary outcomes, changes in cardiometabolic risk factors were not statistically significant at 1 year. Results from analyses with multilevel multiple imputation for missingness were similar. In this Mediterranean nutrition intervention of multicomponent behavioral/environmental changes, career firefighters had increased adherence to a Mediterranean diet. ClinicalTrials.gov Identifier: NCT02941757.

The association between adherence to diet quality index and cardiometabolic risk factors in overweight and obese women: a cross-sectional study.

Obesity and overweight status increase the risk of cardiovascular disease. Diet quality can also predict the risk of cardiovascular diseases in obese and overweight patients. Therefore, in this study, we sought to examine the relationship between diet quality index (DQI) and cardiometabolic risk factors in obese and overweight women. A cross-sectional study was conducted on 197 Iranian women with a Body Mass Index (BMI) > 25, 18-48 years, and recruited from 20 Tehran Health Centers. Nutrition intake and DQI were assessed using a 147-item semi-quantitative food frequency questionnaire (FFQ). Additionally, anthropometric measurements, body composition, biochemical evaluations, and cardiometabolic risk factors were evaluated. There was an association between DQI and waist-to-hip ratio (WHR), atherogenic index of plasma (AIP), and CHOLINDEX in obese women, after adjusting for potential confounders. Whereas, there were no significant associations of the tertiles of DQI compared with the first tertile in other cardiometabolic risk factors, before and after adjustment. This study provides evidence that dietary intake and DQI are associated with cardiometabolic risk factors and that dietary modification may be a predictor for reducing WHR, AIP, and CHOLINDEX. However, more research is needed to develop a DQI that reflects changes in cardiometabolic risk factors by considering women's eating habits and patterns.

A Woman's Heart: Improving Uptake and Awareness of Cardiovascular Screening for Middle-Aged Populations.

Mid-life, the years leading up to and following the menopause transition, in women is accompanied by a change in cardiometabolic risk factors, including increases in body weight, changes in body composition, a more insulin-resistant state, and a shift towards a more atherogenic dyslipidemia pattern. Cardiovascular disease (CVD) risk assessment should be performed continually throughout the lifespan, as risk is not stagnant and can change throughout the life course. However, mid-life is a particularly important time for a woman to be evaluated for CVD risk so that appropriate preventive strategies can be implemented. Along with assessing traditional risk factors, ascertainment of a reproductive history is an integral part of a comprehensive CVD risk assessment to recognize unique female-specific or female-predominant factors that modify a woman's risk. When there is uncertainty about CVD risk and the net benefit of preventive pharmacotherapy interventions (such as statins), measuring a coronary artery calcium score can help further refine risk and guide shared decision-making. Additionally, there should be heightened sensitivity around identifying signs and symptoms of ischemic heart disease in women, as these may present differently than in men. Ischemia from coronary microvascular disease and/or vasospasm may be present even without obstructive coronary artery disease and is associated with a heightened risk for major cardiovascular events and reduced quality of life. Therefore, correctly identifying CVD in women and implementing preventive and treatment therapies is paramount. Unfortunately, women are underrepresented in cardiovascular clinical trials, and more data are needed about how to best incorporate novel and emerging risk factors into CVD risk assessment. This review outlines an approach to CVD screening and risk assessment in women using several methods, focusing on the middle-aged population.

Transition patterns of metabolic dysfunction-associated fatty liver disease status in relation to arterial stiffness progression: a health check-up cohort study

Metabolic dysfunction-associated fatty liver disease (MAFLD) is a new diagnostic criterion based on hepatic steatosis and metabolic dysfunction. However, a comprehensive evaluation of the association of MAFLD dynamic transitions with arterial stiffness progression has yet to be conducted. This cohort study included 8807 Chinese health check-up participants (median follow-up = 50.2 months). Participants were categorized into four groups according to MAFLD status at baseline and follow-up (none, persistent, developed and regressed). Arterial stiffness progression was assessed by the annual brachial-ankle pulse wave velocity (ba-PWV) increase and arterial stiffness incidence. Compared with the non-MAFLD group, the annual increase in ba-PWV was highest in the persistent-MAFLD group [6.75 cm/s/year, (95% CI 4.03–9.33)], followed by the developed—[6.35 cm/s/year, (95% CI 3.80–8.91)] and the regressed—[1.27 cm/s/year, (95% CI − 2.18 to 4.72)] MAFLD groups. Similarly, compared with the non-MAFLD group, the persistent-MAFLD group had a 1.31-fold increased arterial stiffness risk [OR 1.31; 95% CI 1.03–1.66]. The associations of MAFLD transition patterns with arterial stiffness incidence did not differ across any clinically specific subgroups evaluated. Furthermore, the potential effect of dynamic changes in cardiometabolic risk factors on arterial stiffness incidence among persistent-MAFLD participants was mostly driven by annual fasting glucose and triglyceride increases. In conclusion, persistent MAFLD was associated with an increased risk of arterial stiffness development. Moreover, in persistent-MAFLD subjects, elevated blood glucose and triglyceride levels might facilitate the arterial stiffness incidence.

Increased ultra-processed food consumption is associated with worsening of cardiometabolic risk factors in adults with metabolic syndrome: Longitudinal analysis from a randomized trial

Background and aimsThe association between changes in ultra-processed food (UPF) consumption and cardiometabolic risk (CMR) factors remains understudied. We evaluated the association between changes in UPF consumption over 12 months of follow-up and changes in CMR factors in adults diagnosed with metabolic syndrome. MethodsWe analysed data from 5373 adults (aged 55–75 years) participating in the PREDIMED-Plus trial. Diet was evaluated at baseline, 6- and 12-month visits using a validated food frequency questionnaire, and UPF consumption (in grams/day and percentage of total daily dietary intake in grams) was categorized based on NOVA classification. We used mixed-effects linear models with repeated measurements at baseline, 6 and 12 months of follow-up to assess the associations between changes in UPF consumption and changes in CMR factors adjusting for sociodemographic and lifestyles variables. ResultsIn multivariable-adjusted models, when comparing the highest versus the lowest quartile of UPF consumption, positive associations were found for several CMR factors: weight (kg, β = 1.09; 95% confidence interval 0.91 to 1.26); BMI (kg/m2, β = 0.39; 0.33 to 0.46); waist circumference (cm, β = 1.03; 0.81 to 1.26); diastolic blood pressure (mm Hg, β = 0.67; 0.29 to 1.06); fasting blood glucose (mg/dl, β = 1.66; 0.61 to 2.70); HbA1c (%, β = 0.04; 0.01 to 0.07); triglycerides (mg/dl, β = 6.79; 3.66 to 9.91) and triglycerides and glucose index (β = 0.06; 0.04 to 0.08). ConclusionsHigher UPF consumption was associated with adverse evolution in objectively measured CMR factors after 12 months of follow-up in adults with metabolic syndrome. Further research is needed to explore whether these changes persist for longer periods.

Longitudinal physical activity patterns and the development of cardiometabolic risk factors during adolescence.

To examine the associations between longitudinal physical activity (PA) patterns and the development of cardiometabolic risk factors from adolescence to young adulthood. This cohort study encompassed 250 participants recruited from sports clubs and schools, and examined at mean age 15 and 19. Device-measured moderate-to-vigorous PA was grouped into five patterns (via a data-driven method, using inactivity maintainers as a reference). The outcomes were: glucose, insulin, homeostasis model assessment for insulin resistance (HOMA-IR), total cholesterol, HDL and LDL cholesterol, triglycerides, blood pressure, and body mass index (BMI). Linear growth curve models were applied with adjustment for sex, age, fruit/vegetable consumption, cigarette/snuff use, and change in the device wear-time. Insulin and BMI increased among decreasers from moderate to low PA (β for insulin 0.23, 95% CI 0.03-0.46; β for BMI 0.90; CI 0.02-1.78). The concentration of HDL cholesterol decreased (β -0.18, CI -0.31 to -0.05) and that of glucose increased (β 0.18, CI 0.02-0.35) among decreasers from high to moderate PA. By contrast, among increasers, blood pressure declined (systolic β -6.43, CI -12.16 to -0.70; diastolic β -6.72, CI -11.03 to -2.41). Already during the transition to young adulthood, changes in PA are associated with changes in cardiometabolic risk factors. Favorable blood pressure changes were found among PA increasers. Unfavorable changes in BMI, insulin, glucose, and HDL cholesterol were found in groups with decreasing PA. The changes were dependent on the baseline PA and the magnitude of the PA decline.

Change in cardiometabolic risk factors in a pilot safety-net plant-based lifestyle medicine program.

Interventions emphasizing healthful lifestyle behaviors are proliferating in traditional health care settings, yet there is a paucity of published clinical outcomes, outside of pay-out-of-pocket or employee health programs. We assessed weight, hemoglobin A1c (HbA1c), blood pressure, and cholesterol for 173 patients of the Plant-Based Lifestyle Medicine Program piloted in a New York City safety-net hospital. We used Wilcoxon signed-rank tests to assess changes in means, from baseline to six-months, for the full sample and within baseline diagnoses (i.e., overweight or obesity, type 2 diabetes, prediabetes, hypertension, hyperlipidemia). We calculated the percentage of patients with clinically meaningful changes in outcomes for the full sample and within diagnoses. The full sample had statistically significant improvements in weight, HbA1c, and diastolic blood pressure. Patients with prediabetes or overweight or obesity experienced significant improvements in weight and those with type 2 diabetes had significant improvements in weight and HbA1c. Patients with hypertension had significant reductions in diastolic blood pressure and weight. Data did not show differences in non-high-density lipoprotein cholesterol (non-HDL-C), but differences in low-density lipoprotein cholesterol (LDL-C) were approaching significance for the full sample and those with hyperlipidemia. The majority of patients achieved clinically meaningful improvements on all outcomes besides systolic blood pressure. Our study demonstrates that a lifestyle medicine intervention within a traditional, safety-net clinical setting improved biomarkers of cardiometabolic disease. Our findings are limited by small sample sizes. Additional large-scale, rigorous studies are needed to further establish the effectiveness of lifestyle medicine interventions in similar settings.

Four-Year Increase in Step Cadence Is Associated with Improved Cardiometabolic Health in People with a History of Prediabetes.

To investigate associations between 4-yr change in step cadence and markers of cardiometabolic health in people with a history of prediabetes and to explore whether these associations are modified by demographic factors. In this prospective cohort study, adults, with a history of prediabetes, were assessed for markers of cardiometabolic health (body mass index, waist circumference, high-density lipoprotein cholesterol [HDL-C], low-density lipoprotein cholesterol [LDL-C], triglycerides, and glycated hemoglobin A1c [HbA1c]), and free-living stepping activity (activPAL3™) at baseline, 1 yr, and 4 yr. Brisk steps per day were defined as the number of steps accumulated at ≥100 steps per minute and slow steps per day as those accumulated at <100 steps per minute; the mean peak stepping cadence during the most active 10 minutes of the day was also derived. Generalized estimating equations examined associations between 4-yr change in step cadence and change in cardiometabolic risk factors, with interactions by sex and ethnicity. Seven hundred ninety-four participants were included (age, 59.8 ± 8.9 yr; 48.7% women; 27.1% ethnic minority; total steps per day, 8445 ± 3364; brisk steps per day, 4794 ± 2865; peak 10-min step cadence, 128 ± 10 steps per minute). Beneficial associations were observed between change in brisk steps per day and change in body mass index, waist circumference, HDL-C, and HbA1c. Similar associations were found between peak 10-min step cadence and HDL-C and waist circumference. Interactions by ethnicity revealed change in brisk steps per day and change in peak 10-min step cadence had a stronger association with HbA1c in White Europeans, whereas associations between change in 10-min peak step cadence with measures of adiposity were stronger in South Asians. Change in the number of daily steps accumulated at a brisk pace was associated with beneficial change in adiposity, HDL-C, and HbA1c; however, potential benefits may be dependent on ethnicity for outcomes related to HbA1c and adiposity.

Evaluation of weight change and cardiometabolic risk factors in a real-world population of US adults with overweight or obesity

Whether individuals in real-world settings are able to lose weight and improve cardiometabolic risk factors over time is unclear. We aimed to determine the management of and degree of body weight change over 2 years among individuals with overweight or obesity, and to assess associated changes in cardiometabolic risk factors and clinical outcomes. Using data from 11 large health systems within the Patient-Centered Outcomes Research Network in the U.S., we collected the following data on adults with a recorded BMI ≥25 kg/m2 between January 1, 2016 and December 31, 2016: body-mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDLC), triglycerides and glycated hemoglobin (HbA1c). We found that among 882,712 individuals with BMI ≥25 kg/m2 (median age 59 years; 56% female), 52% maintained stable weight over 2 years and 1.3% utilized weight loss pharmacotherapy. Weight loss of 10% was associated with small but significant lowering of mean SBP (−2.69 mmHg [95% CI -2.88, −2.50]), DBP (−1.26 mmHg [95% CI -1.35, −1.18]), LDL-C (−2.60 mg/dL [95% CI -3.14, −2.05]), and HbA1c (−0.27% [95% CI -0.35, −0.19]) in the same 12 months. However, these changes were not sustained over the following year. In this study of adults with BMI ≥25 kg/m2, the majority had stable weight over 2 years, pharmacotherapies for weight loss were under-used, and small changes in cardiometabolic risk factors with weight loss were not sustained, possibly due to failure to maintain weight loss.

Epicardial adipose tissue density is a better predictor of cardiometabolic risk in HFpEF patients: a prospective cohort study

BackgroundEpicardial adipose tissue (EAT) accumulation is associated with multiple cardiometabolic risk factors and prognosis of heart failure with preserved ejection fraction (HFpEF). The correlation between EAT density and cardiometabolic risk and the effect of EAT density on clinical outcome in HFpEF remain unclear. We evaluated the relationship between EAT density and cardiometabolic risk factors, also the prognostic value of EAT density in patients with HFpEF.MethodsWe included 154 HFpEF patients who underwent noncontrast cardiac computed tomography (CT) and all patients received follow-up. EAT density and volume were quantified semi-automatically. The associations of EAT density and volume with cardiometabolic risk factors, metabolic syndrome and the prognostic impact of EAT density were analyzed.ResultsLower EAT density was associated with adverse changes in cardiometabolic risk factors. Each 1 HU increase in fat density, BMI was 0.14 kg/m2 lower (95% CI 0.08–0.21), waist circumference was 0.34 cm lower (95% CI 0.12–0.55), non-HDL-cholesterol was 0.02 mmol/L lower (95% CI 0–0.04), triglyceride was 0.03 mmol/L lower (95% CI 0.01–0.04), fasting plasma glucose was 0.05 mmol/L lower (95% CI 0.02–0.08), TyG index was 0.03 lower (95% CI 0.02–0.04), Log2(TG/HDL-C) was 0.03 lower (95% CI 0.02–0.05), METS-IR was 0.36 lower (95% CI 0.23–0.49), MetS Z-score was 0.04 lower (95% CI 0.02–0.06), and Log2(CACS + 1) was 0.09 lower (95% CI 0.02–0.15). After adjusting for BMI and EAT volume, the associations of non-HDL-cholesterol, triglyceride, fasting plasma glucose, insulin resistance indexes, MetS Z-score, and CACS with fat density remained significant. The area under the curve (AUC) for the presence and severity of metabolic syndrome was greater in EAT density than volume (AUC: 0.731 vs 0.694, 0.735 vs 0.662, respectively). Over a median follow-up of 16 months, the cumulative incidence of heart failure readmission and composite endpoint increased with lower level of EAT density (both p < 0.05).ConclusionsEAT density was an independent impact factor of cardiometabolic risk in HFpEF. EAT density might have better predictive value than EAT volume for metabolic syndrome and it might have prognostic value in patients with HFpEF.

Abstract P117: Weight Loss is Associated With Increases in Mitochondrial DNA Copy Number

Background: Mitochondrial DNA copy number (mtDNA-CN) is a surrogate measure of mitochondrial function that is independently associated with increased cardiovascular disease risk. Individuals with obesity and cardiometabolic risk factors have lower mtDNA-CN levels. However, the modifiability of mtDNA-CN following a weight loss intervention has remained largely unexplored. Hypothesis: Bariatric surgery-induced weight loss is associated with longitudinal increases in circulating mtDNA-CN levels. Methods: In the BARI-Heart prospective cohort of bariatric surgery patients, we quantified mtDNA-CN from whole blood samples collected at three visits: 3 to 6 months prior to surgery, 2-4 weeks prior to surgery, and 6 months post-surgery. We used linear mixed models with random effects to assess changes in mtDNA-CN after bariatric surgery, with the pre-surgery visits while awaiting bariatric surgery serving as the control period. We used multivariable linear regression to evaluate the dose-response association between weight loss and change in mtDNA-CN. Results: We included 71 participants (mean age 45 years, 74% female, 88% White). While mtDNA-CN levels did not change significantly during the pre-surgery period (V1 to V2), mtDNA-CN significantly increased after bariatric surgery (V2 to V3) (Figure). In linear mixed models adjusting for age, sex, and smoking, mtDNA-CN was higher after bariatric surgery than immediately prior to bariatric surgery (Table: ß=0.141, p &lt; 0.001). This increase in mtDNA-CN remained significant following further adjustment for changes in cardiometabolic risk factors (ß=0.116, p &lt; 0.01). In linear regression, each 10% greater weight loss was associated with a 1.6% increase in mtDNA-CN. Conclusions: Weight loss via bariatric surgery is associated with significant increases in mtDNA-CN, independent of cardiometabolic risk factors. Improvements in mitochondrial function may mediate some of the cardiovascular benefits of significant weight loss.

An Intervention of Four Weeks of Time-Restricted Eating (16/8) in Male Long-Distance Runners Does Not Affect Cardiometabolic Risk Factors

Timing of nutrient intake for athletes may affect exercise performance and cardiometabolic factors. Our objective was to examine the effect of time-restricted eating (TRE) on cardiometabolic health. Using a cross-over study design, 15 endurance-trained male runners were randomized to either a normal dietary pattern (ND) first (12 h eating/fasting times) followed by time-restricted eating (TRE) pattern (16 h fast; 8 h eating) or the reverse, with a 4-week washout period between interventions. Body composition, resting energy expenditure, blood pressure and serum insulin, glucose and lipids were measured using standard laboratory methods. Exercise training and dietary intake (calories and macronutrients) were similar across interventions. No significant differences were observed in resting energy expenditure, markers of insulin resistance, serum lipids or blood pressure. Body composition did change significantly (p < 0.05) with whole body fat mass (-0.8 ± 1.3 kg with TRE vs. +0.1 ± 4.3 kg with ND), leg fat mass (-0.3 ± 0.5 kg with TRE vs. +0.1 ± 0.4 kg with ND), and percent body fat (-1.0 ± 1.5% with TRE vs. +0.1 ± 1.3% with ND) declining more in the TRE intervention, with no change in fat-free mass. This study is one of a few to investigate the effects of an isocaloric 16/8 TRE eating pattern in trained endurance athletes and confirms no change in cardiometabolic risk factors. In conclusion, TRE is not detrimental to cardiometabolic health in endurance-trained male runners but could be beneficial on exercise performance by reducing fat mass.