Association Between High-Sensitivity C-Reactive Protein and Metabolic Syndrome Among Hispanic/Latino Participants of the Hispanic Community Health Study/Study of Latinos.

Purpose: To determine whether high-sensitivity C-reactive protein (hsCRP) is associated with incident Metabolic Syndrome (MetS) among U.S. Hispanic/Latino adults. Patients and Methods: The Hispanic Community Health Study/Study of Latinos is a longitudinal observational cohort assessing cardiovascular health among diverse U.S. Hispanic/Latino adults. hsCRP was measured at visit 1 (2008-2011) and classified as low, moderate, or high, based on the Centers for Disease Control and Prevention and American Heart Association (CDC/AHA) guidelines. All MetS components [abdominal obesity, triglycerides, high-density lipoprotein (HDL) cholesterol, blood pressure, and fasting glucose] were measured at visit 1 and visit 2 (2014-2017). MetS was defined as the presence of three or more components based on the 2005 definition from the modified Third Report of the National Cholesterol Education Program Adult Treatment Panel (modified NCEP ATP III). Participants free of MetS at visit 1 and with complete data on hsCRP and all MetS components were included (n = 6121 participants). We used Poisson regression analysis to determine whether hsCRP was associated with incident MetS after adjusting for demographic, behavioral, and clinical factors. All analyses accounted for the complex survey design of the study. Results: In fully adjusted models, moderate versus low hsCRP was associated with a 33% increased risk of MetS [incidence rate ratio (IRR): 1.33, 95% confidence interval (CI): 1.10-1.61], while high versus low hsCRP was associated with a 89% increased risk of MetS (IRR: 1.89, 95% CI: 1.58-2.25). Conclusions: Greater levels of hsCRP were associated with new onset of MetS in a diverse sample of U.S. Hispanic/Latino adults. Results suggest that hsCRP may be an independent risk factor for MetS.

Adherence to the Eatwell Guide and cardiometabolic, cognitive and neuroimaging parameters: an analysis from the PREVENT dementia study.

BACKGROUND: The Eatwell guide reflects the UK government's recommendations for a healthy and balanced diet. Previous research has identified associations between healthy eating patterns and both cardiovascular and brain health, although there is little evidence specifically focusing on the Eatwell Guide. To date no research has investigated associations between the Eatwell Guide and risk for future dementia. METHODS: Data from the PREVENT dementia cohort study baseline visit was used in this analysis. Binary and graded Eatwell Guide scores (BEWG, GEWG) were created from a self-reported Food Frequency Questionnaire. The CAIDE score was included as the primary outcome measure to represent risk for future Alzheimer's disease. Secondary outcome measures included cardiometabolic health measures and brain health measures. Generalised additive models were run in R. RESULTS: A total of 517 participants were included in the analysis, with a mean BEWG score of 4.39 (± 1.66) (out of a possible 12 points) and GEWG score of 39.88 (± 6.19) (out of a possible 60 points). There was no significant association between either Eatwell Guide score and the CAIDE score (BEWG ß: 0.07, 95% confidence interval (CI): -0.07, 0.22; GEWG ß: 0.02, 95% CI: -0.02, 0.06) or any measures of brain health. There was a significant association between higher GEWG score and lower systolic and diastolic blood pressure and body mass index (BMI) (systolic ß: -0.24, 95% CI: -0.45, -0.03; diastolic ß: -0.16, 95% CI: -0.29, -0.03; BMI ß: -0.09, 95% CI: -0.16, -0.01). CONCLUSIONS: Although not directly associated with the CAIDE score, the Eatwell Guide dietary pattern may be beneficial for dementia prevention efforts through the modification of hypertension and obesity, which are both known risk factors for dementia. Future work could replicate these findings in other UK-based cohorts as well as further development of Eatwell Guide scoring methodologies.

Which aspects of education are health protective? a life course examination of early education and adulthood cardiometabolic health in the 30-year study of early child care and Youth Development (SECCYD).

BACKGROUND: Past research describes robust associations between education and health, yet findings have generally been limited to the examination of education as the number of years of education or educational attainment. Little is known about the specific features or processes underpinning education that are health protective. The objective of the current study was to address this gap by examining specific aspects of early education pertaining to student characteristics and experiences, as well as features of the classroom environment, in predicting cardiometabolic health in adulthood. METHODS: Subjects were 1364 participants in the NICHD Study of Early Child Care and Youth Development (SECCYD, 1991-2009) and recent SECCYD 30-year follow-up, the Study of Health in Early and Adult Life (SHINE, 2018-2022). Models examined individual education indicators (student social skills, student-teacher relationship quality, and classroom emotional and instructional quality in the period of elementary school and student academic performance between ages 54 months and 15 years) in relation to a composite of cardiometabolic risk in adulthood (ages 26-31), reflecting central adiposity, blood pressure, insulin resistance, inflammation, and dyslipidemia. Models were adjusted for key explanatory factors including socio-demographics, infant characteristics, parental socioeconomic status (SES), and child health status. Follow-up analyses were performed to test potential mediators of early education effects on adult health, including adult SES (educational attainment, household income) and health behaviors (diet quality, activity level, sleep duration, smoking). RESULTS: In adjusted models, results showed greater student social skills, indexed by a mean of annual teacher ratings between kindergarten and 6th grade, predicted lower cardiometabolic risk in adulthood (ß=-0.009, p <.05). In follow-up analyses, results showed the protective effect of student social skills on cardiometabolic risk may be mediated by adult income (ß=-0.0014, p <.05) and diet quality (ß=-0.0031, p <.05). Effects of the other early education indicators were non-significant (ps > 0.05). CONCLUSIONS: Findings point to the potential significance of early student social competence as a link to long-term health, possibly via the acquisition of resources needed for the maintenance of health, as well as through engagement in health behaviors supporting healthy eating. However, more research is needed to replicate these findings and to elaborate on the role of early student social competence and the pathways explaining its effects on cardiometabolic health in adulthood.

Carotenoid pattern intake and relation to metabolic status, risk and syndrome, and its components - divergent findings from the ORISCAV-LUX-2 survey.

Carotenoids are generally associated with health-beneficial effects; however, their intake patterns related to metabolic syndrome (MetS) and its components remains controversial. This cross-sectional study investigated associations between dietary intakes of individual carotenoids, fruits and vegetables, and the MetS and its components. Dietary intakes of 1346 participants of the ORISCAV-LUX-2 study were investigated by a 174 item-food frequency questionnaire, and carotenoid intake was determined by linking findings using mainly the USDA food databases. Components of MetS and complementary variables, including anthropometric (BMI, waist-circumferences, waist-hip ratio) and biological parameters (triglycerides, HDL-c, fasting blood glucose, blood pressure), were measured. Logistic (for MetS) and linear multivariable regression models (including assessing MetS as scores) adjusted for various confounders were created. α-and ß-Carotene, as well as lutein+zeaxanthin, were inversely associated with MetS (also when it was measured on a continuous scale), reducing the odds for MetS by up to 48%. However, lycopene, phytoene and phytofluene were rather positively associated with MetS scores and its components, though these adverse effects disappeared, at least for lycopene, when controlling for intakes of tomato-based convenience foods, in line with indicating a rather unhealthy/Westernized diet. All these associations remained significant when including fruits and vegetables as confounders, suggesting that carotenoids were related to MetS independently from effects within fruits and vegetables. Thus, a high intake of carotenoids was bidirectionally associated with MetS, its severity, risk, and its components, depending on the type of carotenoid. Future investigations are warranted to explore the inverse role that tomato-based carotenoids appear to suggest in relation to the MetS.

Correction: A Randomized Controlled Trial to Examine the Relationship Between Peer Mentoring for Physical Activity and Cardiometabolic Health.

[This corrects the article DOI: 10.5334/joc.1268.].

Maternal and Offspring Fatty Acid Desaturase Variants, Prenatal DHA Supplementation, and Dietary n-6:n-3 Fatty Acid Ratio in Relation to Cardiometabolic Health in Mexican Children.

BACKGROUND: Single-nucleotide polymorphisms (SNPs) in fatty acid desaturase (FADS) genes may modify dietary fatty acid requirements and influence cardiometabolic health (CMH). OBJECTIVES: We evaluated the role of selected variants in maternal and offspring FADS genes on offspring CMH at the age of 11 y and assessed interactions of genotype with diet quality and prenatal docosahexaenoic acid (DHA) supplementation. METHODS: We used data from offspring (n = 203) born to females who participated in a randomized controlled trial of DHA supplementation (400 mg/d) from midgestation to delivery. We generated a metabolic syndrome (MetS) score from body mass index, high-density lipoprotein cholesterol, triglycerides, systolic blood pressure, and fasting glucose and identified 6 distinct haplotypes from 5 offspring FADS SNPs. Dietary n-6 (ω-6):n-3 fatty acid ratios were derived from 24-h recall data (n = 141). We used generalized linear models to test associations of offspring diet and FADS haplotypes with MetS score and interactions of maternal and offspring FADS SNP rs174602 with prenatal treatment group and dietary n-6:n-3 ratio on MetS score. RESULTS: Associations between FADS haplotypes and MetS score were null. Offspring SNP rs174602 did not modify the association of prenatal DHA supplementation with MetS score. Among children with TT or TC genotype for SNP rs174602 (n = 88), those in the highest n-6:n-3 ratio tertile (>8.61) had higher MetS score relative to the lowest tertile [<6.67) (Δ= 0.36; 95% confidence interval (CI): 0.03, 0.69]. Among children with CC genotype (n = 53), those in the highest n-6:n-3 ratio tertile had a lower MetS score relative to the lowest tertile (Δ= -0.23; 95% CI: -0.61, 0.16). CONCLUSIONS: There was evidence of an interaction of offspring FADS SNP rs174602 with current dietary polyunsaturated fatty acid intake, but not with prenatal DHA supplementation, on MetS score. Further studies may help to determine the utility of targeted supplementation strategies and dietary recommendations based on genetic profile.

Hair-Derived Exposome Exploration of Cardiometabolic Health: Piloting a Bayesian Multitrait Variable Selection Approach.

Cardiometabolic health is complex and characterized by an ensemble of correlated and/or co-occurring conditions including obesity, dyslipidemia, hypertension, and diabetes mellitus. It is affected by social, lifestyle, and environmental factors, which in-turn exhibit complex correlation patterns. To account for the complexity of (i) exposure profiles and (ii) health outcomes, we propose to use a multitrait Bayesian variable selection approach and identify a sparse set of exposures jointly explanatory of the complex cardiometabolic health status. Using data from a subset (N = 941 participants) of the nutrition, environment, and cardiovascular health (NESCAV) study, we evaluated the link between measurements of the cumulative exposure to (N = 33) pollutants derived from hair and cardiometabolic health as proxied by up to nine measured traits. Our multitrait analysis showed increased statistical power, compared to single-trait analyses, to detect subtle contributions of exposures to a set of clinical phenotypes, while providing parsimonious results with improved interpretability. We identified six exposures that were jointly explanatory of cardiometabolic health as modeled by six complementary traits, of which, we identified strong associations between hexachlorobenzene and trifluralin exposure and adverse cardiometabolic health, including traits of obesity, dyslipidemia, and hypertension. This supports the use of this type of approach for the joint modeling, in an exposome context, of correlated exposures in relation to complex and multifaceted outcomes.

Indole-3-Propionic Acid, a Gut Microbiota-Derived Tryptophan Metabolite, Promotes Endothelial Dysfunction Impairing Purinergic-Induced Nitric Oxide Release in Endothelial Cells.

Different gut microbiota-derived metabolites influence cardiovascular function, and, among all, the role of indole-3-propionic acid (IPA), from tryptophan metabolism, shows controversial effects. The aim of this study was to evaluate its role in endothelial dysfunction. IPA effects were studied on bovine aortic endothelial cells (BAE-1). First, IPA cytotoxicity was evaluated by an MTS assay. Then, the levels of intracellular reactive oxygen species (ROS) were evaluated by a microplate reader or fluorescence microscopy with the CellROX® Green probe, and nitric oxide (NO) production was studied by fluorescence microscopy with the DAR4M-AM probe after acute or chronic treatment. Finally, immunoblotting analysis for endothelial nitric oxide synthase (eNOS) phosphorylation (p-eNOS) was performed. In BAE-1, IPA was not cytotoxic, except for the highest concentration (5 mM) after 48 h of treatment, and it showed neither oxidant nor antioxidant activity. However, the physiological concentration of IPA (1 µM) significantly reduced NO released by adenosine triphosphate (ATP)-stimulated BAE-1. These last data were confirmed by Western blot analysis, where IPA induced a significant reduction in p-eNOS in purinergic-stimulated BAE-1. Given these data, we can speculate that IPA negatively affects the physiological control of vascular tone by impairing the endothelial NO release induced by purinergic stimulation. These results represent a starting point for understanding the mechanisms underlying the relationship between gut microbiota metabolites and cardiometabolic health.

Deep learning of movement behavior profiles and their association with markers of cardiometabolic health.

BACKGROUND: Traditionally, existing studies assessing the health associations of accelerometer-measured movement behaviors have been performed with few averaged values, mainly representing the duration of physical activities and sedentary behaviors. Such averaged values cannot naturally capture the complex interplay between the duration, timing, and patterns of accumulation of movement behaviors, that altogether may be codependently related to health outcomes in adults. In this study, we introduce a novel approach to visually represent recorded movement behaviors as images using original accelerometer outputs. Subsequently, we utilize these images for cluster analysis employing deep convolutional autoencoders. METHODS: Our method involves converting minute-by-minute accelerometer outputs (activity counts) into a 2D image format, capturing the entire spectrum of movement behaviors performed by each participant. By utilizing convolutional autoencoders, we enable the learning of these image-based representations. Subsequently, we apply the K-means algorithm to cluster these learned representations. We used data from 1812 adult (20-65 years) participants in the National Health and Nutrition Examination Survey (NHANES, 2003-2006 cycles) study who worn a hip-worn accelerometer for 7 seven consecutive days and provided valid accelerometer data. RESULTS: Deep convolutional autoencoders were able to learn the image representation, encompassing the entire spectrum of movement behaviors. The images were encoded into 32 latent variables, and cluster analysis based on these learned representations for the movement behavior images resulted in the identification of four distinct movement behavior profiles characterized by varying levels, timing, and patterns of accumulation of movement behaviors. After adjusting for potential covariates, the movement behavior profile characterized as "Early-morning movers" and the profile characterized as "Highest activity" both had lower levels of insulin (P < 0.01 for both), triglycerides (P < 0.05 and P < 0.01, respectively), HOMA-IR (P < 0.01 for both), and plasma glucose (P < 0.05 and P < 0.1, respectively) compared to the "Lowest activity" profile. No significant differences were observed for the "Least sedentary movers" profile compared to the "Lowest activity" profile. CONCLUSIONS: Deep learning of movement behavior profiles revealed that, in addition to duration and patterns of movement behaviors, the timing of physical activity may also be crucial for gaining additional health benefits.

Birthweight and its association with cardiometabolic risk parameters in rural Maya children from Yucatan, Mexico.

BACKGROUND: Knowledge about the influence of early developmental factors on cardiometabolic health in the Maya is limited. AIM: To analyse the relationship between birthweight (BW) and cardiometabolic parameters in a sample of rural Maya children from Yucatan, Mexico. SUBJECTS AND METHODS: We took anthropometric measurements and obtained data on BW and fasting blood samples in a sample of 75 children aged 5-14 years. Dependent variables were: fat mass index (FMI), body mass index (BMI), glucose (G), triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL), low-density lipoprotein cholesterol (LDL), LDL/HDL and TC/HDL ratios and metabolic index (TGxG/HDL2). Outcomes were transformed to y = 100 log(e)x and the resulting estimates are interpreted as symmetrical percentage differences. The main independent variable was BW z-score. Multiple linear regression analyses were used to assess the relationship between BW and outcomes. RESULTS: An increase of one standard deviation in BW predicted 6.6% (95% CI [-11.6, -1.6]) decrease in HDL and 11% (95% CI [3.7, 18.4]), 7.8% (95% CI [2.3, 13.2]) and 19.6% (95% CI [3.1, 36]) increases in LDL/HDL, TC/HDL and metabolic index, respectively. CONCLUSION: Higher birthweights were associated with adverse levels of biochemical parameters in this sample of rural Maya children.

Relationship of device measured physical activity type and posture with cardiometabolic health markers: pooled dose-response associations from the Prospective Physical Activity, Sitting and Sleep Consortium.

AIMS/HYPOTHESIS: The aim of this study was to examine the dose-response associations of device-measured physical activity types and postures (sitting and standing time) with cardiometabolic health. METHODS: We conducted an individual participant harmonised meta-analysis of 12,095 adults (mean ± SD age 54.5±9.6 years; female participants 54.8%) from six cohorts with thigh-worn accelerometry data from the Prospective Physical Activity, Sitting and Sleep (ProPASS) Consortium. Associations of daily walking, stair climbing, running, standing and sitting time with a composite cardiometabolic health score (based on standardised z scores) and individual cardiometabolic markers (BMI, waist circumference, triglycerides, HDL-cholesterol, HbA1c and total cholesterol) were examined cross-sectionally using generalised linear modelling and cubic splines. RESULTS: We observed more favourable composite cardiometabolic health (i.e. z score <0) with approximately 64 min/day walking (z score [95% CI] -0.14 [-0.25, -0.02]) and 5 min/day stair climbing (-0.14 [-0.24, -0.03]). We observed an equivalent magnitude of association at 2.6 h/day standing. Any amount of running was associated with better composite cardiometabolic health. We did not observe an upper limit to the magnitude of the dose-response associations for any activity type or standing. There was an inverse dose-response association between sitting time and composite cardiometabolic health that became markedly less favourable when daily durations exceeded 12.1 h/day. Associations for sitting time were no longer significant after excluding participants with prevalent CVD or medication use. The dose-response pattern was generally consistent between activity and posture types and individual cardiometabolic health markers. CONCLUSIONS/INTERPRETATION: In this first activity type-specific analysis of device-based physical activity, ~64 min/day of walking and ~5.0 min/day of stair climbing were associated with a favourable cardiometabolic risk profile. The deleterious associations of sitting time were fully attenuated after exclusion of participants with prevalent CVD and medication use. Our findings on cardiometabolic health and durations of different activities of daily living and posture may guide future interventions involving lifestyle modification.

Cardiometabolic Health in Pregnancy and Postpartum: Findings From a Prospective Cohort Study in South Africa.

Background: The cardiometabolic impact of HIV infection and treatment with antiretroviral therapy (ART) in pregnancy and the postpartum period remains unclear. Methods: We enrolled pregnant persons with (PHIV) and without HIV in Cape Town, South Africa, who were ≥18 years old at 24-28 weeks' gestation and followed them up to 32 months postpartum. We estimated associations between HIV status and cardiometabolic risk including body mass index (BMI), obesity (BMI ≥30 kg/m2), blood pressure (BP; elevated systolic BP ≥130 and/or diastolic ≥85 mmHg), lipid levels, and metabolic syndrome according to the Joint Interim Statement criteria using multivariable log binomial or linear regression models. Subgroup analyses compared PHIV on efavirenz (EFV)- vs dolutegravir (DTG)-based ART. Results: Among 400 participants (n = 200 without HIV, n = 200 PHIV), 52% had prepregnancy obesity and 9% had elevated BP. Postpartum, 57% were classified with obesity, 31% had elevated BP, and 29% had metabolic syndrome. In multivariable analyses, HIV was associated with a lower BMI prepregnancy but not postpartum; however, mean indices were in the obese range regardless of HIV status. Neither BMI nor obesity prepregnancy or postpartum differed by ART regimen. Among PHIV, participants on DTG had higher levels of elevated BP in pregnancy and postpartum, compared with PHIV on EFV. Conclusions: We observed high levels of obesity, elevated BP, and metabolic syndrome in the perinatal period but few differences by HIV status. Participants on DTG may be more likely to have elevated BP in pregnancy and postpartum. Monitoring of cardiometabolic health for pregnant persons on DTG is warranted.

Design, protocol and baseline data of Nurturing Healthy Teachers, a cluster non-randomized controlled trial to improve the health, well-being, and food security of preschool and elementary school teachers in Houston, Texas.

Background: We present the conceptual framework, design, and study measures of Nurturing Healthy Teachers, a quasi-experimental study to examine the short- and long-term effectiveness of the Nurturing Healthy Teachers (NHT) nutrition intervention on food insecurity, dietary behaviors, mental health and cardiometabolic health among preschool and elementary school teachers. Methods: A convenience sample of 28 elementary schools with pre-kindergarten and elementary classrooms were recruited in Houston, Texas. Nurturing Healthy Teacher intervention includes Brighter Bites, an evidence-based coordinated school health program that combines access to fresh produce and nutrition education, and Create Healthy Futures, a web-based nutrition education program that targets nutrition knowledge, self-efficacy, mindfulness, and social support to create healthy habits among teachers. The primary outcome is food insecurity. Secondary outcomes include diet quality, mental health, and cardiometabolic health. Metabolic markers and skin carotenoid levels were assessed using in-person assessments, while all other measures were obtained via questionnaire. Results: At baseline, most of the participants were female, 63 % identified as Hispanic, were highly educated, and had a mean age of 42.6 years. Overall, 50 % of teachers were classified as being obese and 20 % had high cholesterol. At baseline teachers had a mean HbA1c (%) of 5.6 %. Moderate to severe depression was experienced by 18 % of teachers and 23 % of teachers experienced moderate to severe anxiety. Conclusions: The results of this study will inform next steps towards future implementation and evaluation of teacher-focused interventions.

Substituting Low-Calorie Sweetened Beverages for Sugar-Sweetened Beverages to Prevent Obesity and Cardiometabolic Diseases: Still a Good Idea?

Low-calorie sweeteners (LCSs) and LCS-containing beverages have been proposed as appropriate substitutes for caloric sugars in recent years. In this Perspective, we highlight the recent findings from observational and interventional studies, focusing on obesity, gut microbiome, and cardiometabolic health. We provide public health actors and health care professionals with an insightful overview of recent evidence to bridge the gap between research and practice.

The value of neck adipose tissue as a predictor for metabolic risk in health and type 2 diabetes.

Upper-body adiposity is adversely associated with metabolic health whereas the opposite is observed for the lower-body. The neck is a unique upper-body fat depot in adult humans, housing thermogenic brown adipose tissue (BAT), which is increasingly recognised to influence whole-body metabolic health. Loss of BAT, concurrent with replacement by white adipose tissue (WAT), may contribute to metabolic disease, and specific accumulation of neck fat is seen in certain conditions accompanied by adverse metabolic consequences. Yet, few studies have investigated the relationships between neck fat mass (NFM) and cardiometabolic risk, and the influence of sex and metabolic status. Typically, neck circumference (NC) is used as a proxy for neck fat, without considering other determinants of NC, including variability in neck lean mass. In this study we develop and validate novel methods to quantify NFM using dual x-ray absorptiometry (DEXA) imaging, and subsequently investigate the associations of NFM with metabolic biomarkers across approximately 7000 subjects from the Oxford BioBank. NFM correlated with systemic insulin resistance (Homeostatic Model Assessment for Insulin Resistance; HOMA-IR), low-grade inflammation (plasma high-sensitivity C-Reactive Protein; hsCRP), and metabolic markers of adipose tissue function (plasma triglycerides and non-esterified fatty acids; NEFA). NFM was higher in men than women, higher in type 2 diabetes mellitus compared with non-diabetes, after adjustment for total body fat, and also associated with overall cardiovascular disease risk (calculated QRISK3 score). This study describes the development of methods for accurate determination of NFM at scale and suggests a specific relationship between NFM and adverse metabolic health.

Who Benefits and How: Five Dimensions of Adolescent Psychological Well-Being and Their Relative Impact on Cardiometabolic Health in Adulthood.

PURPOSE: Positive dimensions of psychological well-being in adolescence may help youth preserve cardiometabolic health (CMH) as they age, but little is known about which aspects of well-being matter most and for whom. This study examines the differential impact of five dimensions of adolescent psychological well-being on CMH maintenance in adulthood and considers social patterning in both their distribution and respective health benefits. METHODS: Data were from the National Longitudinal Study of Adolescent Health (N = 3,464), five dimensions of psychological well-being were identified at baseline (1994-1995; mean age = 15 years): happiness, optimism, self-esteem, belonging, and feeling loved. CMH was measured using seven biomarkers related to chronic disease risk in 2008 (mean age = 28 years) and 2016-2018 (mean age = 38 years): high-density lipoprotein cholesterol, non-high-density lipoprotein cholesterol, systolic blood pressure, diastolic blood pressure, hemoglobin A1c, C-reactive protein, and body mass index. CMH maintenance in adulthood was characterized as having healthy levels of ≥6 biomarkers at each follow-up. RESULTS: Youth who reported higher levels of belonging in the teen years were more likely to maintain CMH across young adulthood than those who reported lower levels, regardless of one's social standing (ORper 1-standard deviation = 1.23, 95% CI = 1.03-1.46). Associations with other dimensions of well-being were heterogeneous by sex and race and ethnicity, while differences by socioeconomic factors were less apparent. DISCUSSION: Fostering belonging through supportive social environments may help set youth on positive health trajectories and prevent chronic disease across the lifespan.

Assessing the genetic contribution of cumulative behavioral factors associated with longitudinal type 2 diabetes risk highlights adiposity and the brain-metabolic axis.

While genetic factors, behavior, and environmental exposures form a complex web of interrelated associations in type 2 diabetes (T2D), their interaction is poorly understood. Here, using data from ~500K participants of the UK Biobank, we identify the genetic determinants of a "polyexposure risk score" (PXS) a new risk factor that consists of an accumulation of 25 associated individual-level behaviors and environmental risk factors that predict longitudinal T2D incidence. PXS-T2D had a non-zero heritability (h2 = 0.18) extensive shared genetic architecture with established clinical and biological determinants of T2D, most prominently with body mass index (genetic correlation [rg] = 0.57) and Homeostatic Model Assessment for Insulin Resistance (rg = 0.51). Genetic loci associated with PXS-T2D were enriched for expression in the brain. Biobank scale data with genetic information illuminates how complex and cumulative exposures and behaviors as a whole impact T2D risk but whose biology have been elusive in genome-wide studies of T2D.

Global positioning system-based food environment exposures, diet-related, and cardiometabolic health outcomes: a systematic review and research agenda.

BACKGROUND: Geographic access to food may affect dietary choices and health outcomes, but the strength and direction of associations may depend on the operationalization of exposure measures. We aimed to systematically review the literature on up-to-date evidence on the association between food environment exposures based on Global Positioning System (GPS) and diet-related and cardiometabolic health outcomes. METHODS: The databases PubMed, Embase.com, APA PsycInfo (via Ebsco), Cinahl (via Ebsco), the Web of Science Core Collection, Scopus, and the International Bibliography of the Social Sciences (via ProQuest) were searched from inception to October 31, 2022. We included studies that measured the activity space through GPS tracking data to identify exposure to food outlets and assessed associations with either diet-related or cardiometabolic health outcomes. Quality assessment was evaluated using the criteria from a modified version of the Newcastle-Ottawa Scale (NOS) for cross-sectional studies. We additionally used four items from a quality assessment tool to specifically assess the quality of GPS measurements. RESULTS: Of 2949 studies retrieved, 14 studies fulfilled our inclusion criteria. They were heterogeneous and represent inconsistent evidence. Yet, three studies found associations between food outlets and food purchases, for example, more exposure to junk food outlets was associated with higher odds of junk food purchases. Two studies found associations between greater exposure to fast food outlets and higher fast food consumption and out of three studies that investigated food environment in relation to metabolic outcomes, two studies found that higher exposure to an unhealthy food environment was associated with higher odds of being overweight. CONCLUSIONS: The current and limited evidence base does not provide strong evidence for consistent associations of GPS-based exposures of the food environment with diet-related and cardiometabolic health outcomes.

A four-week dietary intervention with mycoprotein-containing food products reduces serum cholesterol concentrations in community-dwelling, overweight adults: A randomised controlled trial.

BACKGROUND: Substituting dietary meat and fish for mycoprotein, a fungal-derived food source rich in protein and fibre, decreases circulating cholesterol concentrations in laboratory-controlled studies. However, whether these findings can be translated to a home-based setting, and to decrease cholesterol concentrations in overweight and hypercholesterolemic individuals, remains to be established. OBJECTIVE: We investigated whether a remotely-delivered, home-based dietary intervention of mycoprotein-containing food products would affect various circulating cholesterol moieties and other markers of cardio-metabolic health in overweight (BMI >27.5 kg⋅m-2) and hypercholesterolaemic (>5.0 mmol⋅L-1) adults. METHODS: Seventy-two participants were randomized into a controlled, parallel-group trial conducted in a free-living setting, in which they received home deliveries of either meat/fish control products (CON; n = 39; BMI 33 ± 1 kg⋅m-2; 13 males, 26 females) or mycoprotein-containing food products (MYC; n = 33; BMI 32 ± 1 kg⋅m-2; 13 males, 20 females) for 4 weeks. Fingertip blood samples were collected and sent via postal service before and after the dietary intervention period and analysed for concentrations of serum lipids, blood glucose and c-peptide. RESULTS: Serum total cholesterol concentrations were unchanged throughout the intervention in CON, but decreased by 5 ± 2 % in MYC (from 5.4 ± 0.2 to 5.1 ± 0.2 mmol⋅L-1; P < 0.05). Serum low-density lipoprotein cholesterol and non-high-density lipoprotein cholesterol concentrations were also unchanged in CON, but decreased in MYC by 10 ± 3 % and 6 ± 2 % (both by 0.3 ± 0.1 mmol⋅L-1; P < 0.05). Serum high-density lipoprotein cholesterol and free triglyceride concentrations were unaffected in CON or MYC. Post-intervention, MYC displayed lower mean blood glucose (3.7 ± 0.2 versus 4.3 ± 0.2 mmol⋅L-1) and c-peptide (779 ± 76 vs. 1064 ± 86 pmol⋅L-1) concentrations (P < 0.05) vs. CON. CONCLUSIONS: We show that a home-based dietary intervention of mycoprotein-containing food products effectively lowers circulating cholesterol concentrations in overweight, hypercholesterolemic adults. This demonstrates that mycoprotein consumption is a feasible and ecologically valid dietary strategy to improve markers of cardio-metabolic health in an at-risk population under free living conditions. CLINICAL TRIAL REGISTRATION: NCT04773483 (https://classic. CLINICALTRIALS: gov/ct2/show/NCT04773483).