Prevalence Of Cardiometabolic Diseases Research Articles

Multiphase optimization strategy to establish optimal delivery of nutrition-related services in healthcare settings: A step towards clinical trial

BackgroundMinorities living in the Southern US generally have greater incidence and prevalence of cardiometabolic diseases compared to other groups. Cardiometabolic disease prevalence and risk can be reduced by focusing on diet and lifestyle modifications. There is need for holistic and integrated care models for community-based healthcare organizations who are already working with minorities. This research aimed to select and optimize essential psychosocial and structural components to address diet behaviors among racial/ethnic minorities, and/or disadvantaged background young to middle aged adult populations in Mississippi. MethodsNutrition360 was guided by a community-academic team using a participatory approach and included a preparation and two optimization phases to examine different approaches to dietary interventions utilizing the multiphase optimization strategy. Each intervention arm included three different modalities to identify the most feasible delivery method. The intervention was conducted at a community-based, outpatient healthcare center located in Jackson, MS. Eligible participants were between 25 and 50 years old, residents of Jackson metropolitan area, at risk for cardiovascular disease-related premature mortality, and had internet access. Individuals who completed baseline surveys were randomly assigned to an intervention group and then to modality order. Co-primary outcomes were research participant burden and cost-effectiveness and secondary outcomes were attendance, and dietary measures. ResultsThirty-one, African American individuals with a mean age of 40.5 years completed baseline surveys and were randomized to an intervention program. ConclusionThe two most feasible and cost-effective interventions will be combined to further test this model's delivery in the real-world setting as part of the next optimization phase. RegistrationClinicalTrials.gov, NCT06286618. https://clinicaltrials.gov/study/NCT06286618

Associations between live birth and cardiometabolic disease in Southwest Chinese women

BackgroundChina has undergone a significant socioeconomic transformation over the past few decades due to the implementation of family planning policies. These societal changes have resulted in an increased susceptibility among females to developing cardiometabolic diseases (CMD). Unfortunately, studies investigating the correlation between family planning policies in China and the incidence of CMD remain scarce.MethodsData from 1,226 females, aged 30 years or older with ≥ 1 live birth, undergoing routine physical examinations between January 2018 and December 2021 were collected, and they were grouped by number of live births 1, 2, and ≥ 3. A binary logistic regression model was employed to examine the association between the number of live births with CMD. Furthermore, the subgroup analysis was performed to elucidate the impact of the implementation of family planning policies with CMD.ResultsWomen with live births ≥ 3 tended to be older, had higher gravidities, a greater proportion of central obesity, general obesity, hypertension, and dyslipidemia (all P < 0.05). Across the three groups (live birth = 1, =2 and ≥ 3), the odds ratio (OR) with 95% CI for obesity were: 1.00, 3.32 (2.36–4.69), and 5.73 (3.79–8.68); for dyslipidemia were: 1.00, 1.75 (1.29–2.39), and 2.02 (1.38–2.94); and for CMD were: 1.00, 1.91 (1.44–2.54), and 2.15 (1.46–3.15), respectively (all P < 0.05). In addition, based on the different periods of the childbearing policy in China, a subgroup analysis (where age was divided into ≤ 45, 45–65, and ≥ 65 years old) found that each additional live birth increased the prevalence risk of obesity and CMD in the younger generations, while hypertension and dyslipidemia in the elder generation.ConclusionsHigher live births are positively associated with the prevalence of CMD among women in Southwest China. Moreover, giving birth after the implementation of the one-child policy tends to have a higher risk of developing CMD.

The heart of the matter: neighborhood violent crime and deprivation, cardiometabolic disease, and the racial invariance thesis

ABSTRACT Studies have observed a tight spatial coupling of elevated violent crime rates, structural deprivation, and cardiometabolic disease prevalence across geographic areas. Conceptual perspectives in the health sciences provide a framework to explain this geographic concentration of poor health and crime, which differs from perspectives derived from macro-level criminology. Drawing on these different conceptual approaches, the current study uses administrative and survey data aggregated to Census tracts to examine whether violent crime and structural deprivation are factors for cardiometabolic disease prevalence. Drawing on the racial invariance thesis, the study also tests whether these patterns are invariant across neighborhoods of different racial and ethnic compositions. Multivariate results reveal that cardiometabolic disease varies directly with levels of violent crime but not structural deprivation. Furthermore, the results do not provide consistent support for the racial and ethnic invariance hypothesis. We discuss the implications of the findings for prevention models focused on modifiable risk factors of poor health in local geographic areas.

City-Level Sugar-Sweetened Beverage Taxes and Youth Body Mass Index Percentile

Levying excise taxes on sugar-sweetened beverage (SSB) distributors, which are subsequently passed on to consumers, is a policy implemented to reduce the high prevalence of cardiometabolic disease and generate public health funding. Taxes are associated with lower SSB purchases and consumption, but it is unknown whether they are associated with weight-related outcomes in youth. To determine the association of SSB excise taxes with youth body mass index (BMI) trajectories. This cohort study was conducted from 2009 to 2020, including 6 years before tax implementation and 4 to 6 years after tax implementation. The California cities of Albany, Berkeley, Oakland, and San Francisco, which implemented SSB excise taxes, were compared against 40 demographically matched control cities in California. Participants included Kaiser Permanente members aged 2 to 19 years at cohort entry (baseline) with continuous residence in selected cities with at least 1 pretax and 1 posttax BMI recorded in their electronic health record. Data analysis was performed from January 2021 to May 2023. Implementation of SSB excise taxes. Centers for Disease Control and Prevention age-specific and sex-specific BMI percentiles and percentage of youth with overweight or obesity before tax implementation through 4 to 6 years after implementation were compared with control cities. Statistical analysis was conducted using the difference-in-differences (DID) method. A sensitivity analysis used the synthetic control method. A total of 44 771 youth (mean [SD] age at baseline, 6.4 [4.2] years; 22 337 female [49.9%]) resided in the cities with SSB taxes; 345 428 youth (mean [SD] age, 6.9 [4.2] years; 171 0168 female [49.5%]) resided in control cities. There was a -1.64-percentage point (95% CI, -3.10 to -0.17 percentage points) overall difference in the mean change of BMI percentile between exposure and control cities after SSB tax implementation. There was no significant overall difference in the percentage of youth with overweight or obesity or youth with obesity compared with control cities. All DID estimates were significant for youth residing in exposure cities in terms of BMI percentile (age 2-5 years in 2017, -2.06 percentage points [95% CI, -4.04 to -0.09 percentage points]; age 6-11 years in 2017, -2.79 percentage points [95% CI, -4.29 to -1.30 percentage points]), percentages of youth with overweight or obesity (age 2-5 years, -5.46 percentage points [95% CI, -8.47 to -2.44 percentage points]; age 6-11 years, -4.23 percentage points [95% CI, -6.90 to -1.57 percentage points]), and percentages of youth with obesity (age 2-5 years; -1.87 percentage points [95% CI, -3.36 to -0.38 percentage points]; age 6-11 years, -1.85 percentage points [95% CI, -3.46 to -0.24 percentage points]). Compared with control cities, changes in mean BMI percentiles were significant for male (-1.98 percentage points; 95% CI, -3.48 to -0.48 percentage points), Asian (-1.63 percentage points; 95% CI, -3.10 to -0.16 percentage points), and White (-2.58 percentage points; 95% CI, -4.11 to -1.10 percentage points) youth. Compared with control cities, White youth in exposure cities had improvements in the percentage with overweight or obesity (-3.73 percentage points; 95% CI, -6.11 to -1.35 percentage points) and the percentage with obesity (-2.78 percentage points; 95% CI, -4.18 to -1.37 percentage points). In this cohort study, SSB excise taxes were associated with lower BMI percentile among youth. Policymakers should consider implementing SSB excise taxes to prevent or reduce youth overweight and obesity and, ultimately, chronic disease, particularly among children younger than 12 years.

The association of menopause with cardiometabolic disease risk factors in women living with and without HIV in sub-Saharan Africa: Results from the AWI-Gen 1 study

BackgroundMenopause and HIV are associated with cardiometabolic disease. In sub-Saharan Africa there is a growing population of midlife women living with HIV and a high prevalence of cardiometabolic disease. ObjectivesThe aim of this study was to determine whether menopause and HIV were associated with cardiometabolic disease risk factors in a population of midlife sub-Saharan African women. Study designThis was a cross-sectional comparison of cardiometabolic disease risk factors between 944 premenopausal women (733 living without HIV and 211 living with HIV) and 1135 postmenopausal women (932 living without HIV and 203 living with HIV) in sub-Saharan Africa. Main outcome measuresAnthropometric and cardiometabolic variables were compared between pre- and postmenopausal women living without HIV and between pre- and postmenopausal women living with HIV and between women living without HIV and women living with HIV. ResultsThe prevalence of HIV was 19.9 %. Age at menopause was lower in women living with HIV than in women living without HIV (48.1 ± 5.1 vs 50.9 ± 4.7 years, p < 0.001).Women living with HIV and receiving efavirenz-based antiretroviral therapy had a lower body mass index (BMI), hip circumference, blood pressure and carotid intima media thickness but higher triglyceride levels and insulin resistance than women living without HIV. Antiretroviral therapy-naïve women living with HIV had lower HDL-cholesterol than women living without HIV.In this study, menopause was associated with higher LDL-C levels, regardless of HIV status. ConclusionThe high prevalence of obesity and related cardiometabolic disease risk factors in these midlife sub-Saharan African women is not related to the menopausal transition. The association of cardiometabolic disease risk factors with HIV and antiretroviral therapy is complex and requires further investigation in longitudinal studies, as does the negative association of age at final menstrual period with HIV.

Associations Between Sleep Duration and Cardiometabolic Diseases Among Residents in Southwest China.

The burden of cardiometabolic diseases (CMDs), defined as stroke, coronary artery disease, and diabetes mellitus, continues to pose a global challenge. Sleep duration has been linked to cardiovascular health. However, there is a lack of focused investigations on CMDs in underdeveloped areas of China. This study aimed to examine the relationship between sleep duration and CMDs among residents from southwest China. This large cross-sectional study screened data from the National Key Research and Development Program (2018YFC1311400). Based on sleep duration reported through a standardized questionnaire, encompassing the sleep patterns of the past five years, participants were classified into three groups: <6, 6-8, >8 hours. Baseline characteristics were compared, and Poisson regression models were used to assess the relationship between sleep duration and CMDs. Subgroup analysis was conducted based on age and gender. This study included 28,908 participants with an average age of 65.6 ± 10.0 years, of whom 57.6% were female. The overall prevalence of CMDs was 22.6%. After multivariate adjustments, the prevalence ratios (PR) (95% CI) for CMDs across the three groups (6-8h, <6h and >8h) were: reference, 1.140 (1.068-1.218), 1.060 (0.961-1.169) (P for trend =0.003), respectively. The subgroup analysis revealed that among older females, a longer sleep duration (>8h) was also associated with an increased prevalence risk of CMDs, with PR 1.169 (1.001-1.365) (p=0.049). A shorter sleep duration (<6 hours) was associated with an increased risk of CMDs in the general population, while a longer sleep duration (>8 hours) also raised the prevalence risk among older females.

Comparative effectiveness of positron emission tomography and single-photon emission computed tomography myocardial perfusion imaging for predicting risk in patients with cardiometabolic disease

BackgroundThe epidemiology of coronary artery disease (CAD) has shifted, with increasing prevalence of cardiometabolic disease and decreasing findings of obstructive CAD on myocardial perfusion imaging (MPI). Coronary microvascular dysfunction (CMD), defined as impaired myocardial flow reserve (MFR) by positron emission tomography (PET), has emerged as a key mediator of risk. We aimed to assess whether PET MFR provides additive value for risk stratification of cardiometabolic disease patients compared with single-photon emission computed tomography (SPECT) MPI. MethodsWe retrospectively followed patients referred for PET, exercise SPECT, or pharmacologic SPECT MPI with cardiometabolic disease (obesity, diabetes, or chronic kidney disease) and without known CAD. We compared rates and hazards of composite major adverse cardiovascular events (MACEs) (annualized cardiac mortality or acute myocardial infarction) among propensity-matched PET and SPECT patients using Poisson and Cox regression. Normal SPECT was defined as a total perfusion deficit (TPD) of <5%, reflecting the absence of obstructive CAD. Normal PET was defined as a TPD of <5% plus an MFR of ≥2.0. ResultsAmong 21,544 patients referred from 2006 to 2020, cardiometabolic disease was highly prevalent (PET: 2308 [67%], SPECT: 9984 [55%]) and higher among patients referred to PET (P < 0.001). Obstructive CAD findings (TPD > 5%) were uncommon (PET: 21% and SPECT: 11%). Conversely, impaired MFR on PET (<2.0) was common (62%). In a propensity-matched analysis over a median 6.4-year follow-up, normal PET identified low-risk (0.9%/year MACE) patients, and abnormal PET identified high-risk (4.2%/year MACE) patients with cardiometabolic disease; conversely, those with normal pharmacologic SPECT remained moderate-risk (1.6%/year, P < 0.001 compared to normal PET). ConclusionsCardiometabolic disease is common among patients referred for MPI and is associated with a heterogenous level of risk. Compared with pharmacologic SPECT, PET with MFR can detect nonobstructive CAD including CMD and can more accurately discriminate low-risk from higher-risk individuals.

UCP1 expression in human brown adipose tissue is inversely associated with cardiometabolic risk factors.

Brown adipose tissue (BAT) is a therapeutic target for obesity. 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) is commonly used to quantify human BAT mass and activity. Detectable 18F-FDG uptake by BAT is associated with reduced prevalence of cardiometabolic disease. However, 18F-FDG uptake may not always be a reliable marker of BAT thermogenesis, for example, insulin resistance may reduce glucose uptake. Uncoupling protein 1 (UCP1) is the key thermogenic protein in BAT. Therefore, we hypothesised that UCP1 expression may be altered in individuals with cardiometabolic risk factors. We quantified UCP1 expression as an alternative marker of thermogenic capacity in BAT and white adipose tissue (WAT) samples (n = 53) and in differentiated brown and white pre-adipocytes (n = 85). UCP1 expression in BAT, but not in WAT or brown/white differentiated pre-adipocytes, was reduced with increasing age, obesity, and adverse cardiometabolic risk factors such as fasting glucose, insulin, and blood pressure. However, UCP1 expression in BAT was preserved in obese subjects of <40 years of age. To determine if BAT activity was also preserved in vivo, we undertook a case-control study, performing 18F-FDG scanning during mild cold exposure in young (mean age ∼22 years) normal weight and obese volunteers. 18F-FDG uptake by BAT and BAT volume were similar between groups, despite increased insulin resistance. 18F-FDG uptake by BAT and UCP1 expression are preserved in young obese adults. Older subjects retain precursor cells with the capacity to form new thermogenic adipocytes. These data highlight the therapeutic potential of BAT mass expansion and activation in obesity.

Clinical characteristics and outcomes among hospitalised COVID-19 patients across epidemic waves in Spain: An unCoVer analysis

Background and objectivesThe COVID-19 pandemic had a significant impact in population health worldwide, and particularly in people with pre-existing chronic diseases. Early risk identification and stratification is essential to reduce the impact of future outbreaks of pandemic potential. This study aimed to comprehensively examine factors associated with COVID-19 mortality across the pandemic waves in Spain. MethodsA retrospective study analyzed the characteristics of 13,974 patients admitted to Spanish hospitals due to SARS-CoV-2 infection from 2020-01-28 to 2022-12-31. The demographic and clinical features of patients during hospitalization on each pandemic waves were analyzed. Main findingsThe findings highlight the heterogeneity of patient characteristics, comorbidities and outcomes, across the waves. The high prevalence of cardiometabolic diseases (53.9%) among COVID-19 patients emphasizes the importance of controlling these risk factors to prevent severe COVID-19 outcomes. ConclusionsIn summary, the study associate hospital mortality with factors such as advanced age and comorbidities. The decline in mortality after the 4th wave indicates potential influences like vaccination, viral adaptation, or improved treatments. Notably, dementia and cancer metastases emerge as critical factors linked to higher mortality, highlighting the importance of addressing these conditions in COVID-19 management and preparing for future challenges.

Adipose tissue as a linchpin of organismal ageing.

Ageing is a conserved biological process, modulated by intrinsic and extrinsic factors, that leads to changes in life expectancy. In humans, ageing is characterized by greatly increased prevalence of cardiometabolic disease, type 2 diabetes and disorders associated with impaired immune surveillance. Adipose tissue displays species-conserved, temporal changes with ageing, including redistribution from peripheral to central depots, loss of thermogenic capacity and expansion within the bone marrow. Adipose tissue is localized to discrete depots, and also diffusely distributed within multiple organs and tissues in direct proximity to specialized cells. Thus, through their potent endocrine properties, adipocytes are capable of modulating tissue and organ function throughout the body. In addition to adipocytes, multipotent progenitor/stem cells in adipose tissue play a crucial role in maintenance and repair of tissues throughout the lifetime. Adipose tissue may therefore be a central driver for organismal ageing and age-associated diseases. Here we review the features of adipose tissue during ageing, and discuss potential mechanisms by which these changes affect whole-body metabolism, immunity and longevity. We also explore the potential of adipose tissue-targeted therapies to ameliorate age-associated disease burdens.

Deep Learning–Based Assessment of Built Environment From Satellite Images and Cardiometabolic Disease Prevalence

Built environment plays an important role in development of cardiovascular disease. Large scale, pragmatic evaluation of built environment has been limited owing to scarce data and inconsistent data quality. To investigate the association between image-based built environment and the prevalence of cardiometabolic disease in urban cities. This cross-sectional study used features extracted from Google satellite images (GSI) to measure the built environment and link them with prevalence of cardiometabolic disease. Convolutional neural networks, light gradient-boosting machines, and activation maps were used to assess the association with health outcomes and identify feature associations with coronary heart disease (CHD), stroke, and chronic kidney disease (CKD). The study obtained aerial images from GSI covering census tracts in 7 cities (Cleveland, Ohio; Fremont, California; Kansas City, Missouri; Detroit, Michigan; Bellevue, Washington; Brownsville, Texas; and Denver, Colorado). The study used census tract-level data from the US Centers for Disease Control and Prevention's 500 Cities project. The data were originally collected from the Behavioral Risk Factor Surveillance System that surveyed people 18 years and older across the country. Analyses were conducted from February to December 2022. GSI images of built environment and cardiometabolic disease prevalence. Census tract-level estimated prevalence of CHD, stroke, and CKD based on image-based built environment features. The study obtained 31 786 aerial images from GSI covering 789 census tracts. Built environment features extracted from GSI using machine learning were associated with prevalence of CHD (R2 = 0.60), stroke (R2 = 0.65), and CKD (R2 = 0.64). The model performed better at distinguishing differences between cardiometabolic prevalence between cities than within cities (eg, highest within-city R2 = 0.39 vs between-city R2 = 0.64 for CKD). Addition of GSI features both outperformed and improved the model that only included age, sex, race, income, education, and composite indices for social determinants of health (R2 = 0.83 vs R2 = 0.76 for CHD; P <.001). Activation maps from the features revealed certain health-related built environment such as roads, highways, and railroads and recreational facilities such as amusement parks, arenas, and baseball parks. In this cross-sectional study, a significant portion of cardiometabolic disease prevalence was associated with GSI-based built environment using convolutional neural networks.

Cardiovascular Health and Disease in the Pakistani American Population.

This narrative review seeks to elucidate clinical and social factors influencing cardiovascular health, explore the challenges and potential solutions for enhancing cardiovascular health, and identify areas where further research is needed to better understand cardiovascular issues in native and American Pakistani populations. The prevalence of cardiometabolic disease is high not only in Pakistan but also among its global diaspora. This situation is further complicated by the inadequacy of current cardiovascular risk assessment tools, which often fall short of accurately gauging the risk among Pakistani individuals, underscoring the urgent need for more tailored and effective assessment methodologies. Moreover, social determinants play a crucial role in shaping cardiovascular health. The burden of cardiovascular disease and upstream risk factors is high among American Pakistani individuals. Future research is needed to better understand the heightened risk of cardiovascular disease among Pakistani individuals.

Artificial intelligence-based assessment of built environment from Google Street View and coronary artery disease prevalence.

Built environment plays an important role in the development of cardiovascular disease. Tools to evaluate the built environment using machine vision and informatic approaches have been limited. This study aimed to investigate the association between machine vision-based built environment and prevalence of cardiometabolic disease in US cities. This cross-sectional study used features extracted from Google Street View (GSV) images to measure the built environment and link them with prevalence of coronary heart disease (CHD). Convolutional neural networks, linear mixed-effects models, and activation maps were utilized to predict health outcomes and identify feature associations with CHD at the census tract level. The study obtained 0.53 million GSV images covering 789 census tracts in seven US cities (Cleveland, OH; Fremont, CA; Kansas City, MO; Detroit, MI; Bellevue, WA; Brownsville, TX; and Denver, CO). Built environment features extracted from GSV using deep learning predicted 63% of the census tract variation in CHD prevalence. The addition of GSV features improved a model that only included census tract-level age, sex, race, income, and education or composite indices of social determinant of health. Activation maps from the features revealed a set of neighbourhood features represented by buildings and roads associated with CHD prevalence. In this cross-sectional study, the prevalence of CHD was associated with built environment factors derived from GSV through deep learning analysis, independent of census tract demographics. Machine vision-enabled assessment of the built environment could potentially offer a more precise approach to identify at-risk neighbourhoods, thereby providing an efficient avenue to address and reduce cardiovascular health disparities in urban environments.

Abstract P390: Cardiometabolic Disease Prevalence Are Inconsistent by Racial Group Across Three National United States Datasets From 2015 to 2021

Introduction: The United States uses the National Health Interview Survey (NHIS), Behavioral Risk Factor Surveillance System (BRFSS), and National Health and Nutrition Examination Survey (NHANES) to inform disease trends and preventative research. However, the consistency in prevalence of cardiometabolic disorders in these datasets by race is understudied. We examined differences in the crude and age/sex adjusted prevalence of self-reported doctor diagnosis of myocardial infarction (MI), stroke (CVA), coronary heart disease (CHD), any cardiovascular disease (CVD), and diabetes (DM) by racial group across the datasets. Methods: We harmonized available NHIS (N = 179,593), BRFSS (N = 2,592,050), and NHANES (N = 12,506) datasets of adults aged ≥ 30 from 2015-2021. We first calculated crude prevalence by race and survey. We then used multivariable logistic regression to calculate age and sex adjusted prevalence by race and survey, accounting for survey weights. Results: The majority of participants were female (52.3%) and 53.6 years old (SD=14.4). Crude prevalence was most similar within a given race group for CVA (Table). Prevalence across surveys varied up to 4.6% by race and was most variable on average for DM. For each race group, prevalence estimates were generally higher in BRFSS than NHIS. Prevalence estimates varied most in people of Other/Multiple race. Racial differences in DM were significant in all datasets (p&lt;0.001). Results were similar after adjustment for age and sex. Conclusion: While prevalence estimates for our national datasets are consistent for the NH-White population, estimates are less consistent for other racial groups. Additional work is needed to ensure consistency of cardiometabolic surveillance both nationally and among minoritized groups.

Sex differences in lipid metabolism may explain disparities in cardiometabolic disease prevalence with sleep apnoea.

Sex differences in lipid metabolism may explain disparities in cardiometabolic disease prevalence with sleep apnoea.

Relationship of Fat Mass Ratio, a Biomarker for Lipodystrophy, With Cardiometabolic Traits.

Familial partial lipodystrophy (FPLD) is a heterogenous group of syndromes associated with a high prevalence of cardiometabolic diseases. Prior work has proposed DEXA-derived fat mass ratio (FMR) - defined as trunk fat percentage (trunk fat %) divided by leg fat percentage (leg fat %) - as a biomarker of FPLD, but this metric has not previously been characterized in large cohort studies. We set out to (1) understand the cardiometabolic burden of individuals with high FMR in up to 40,796 participants in the UK Biobank and 9,408 participants in the Fenland study, (2) characterize the common variant genetic underpinnings of FMR, and (3) build and test a polygenic predictor for FMR. Participants with high FMR were at higher risk for type 2 diabetes (OR = 2.30, p = 3.5 × 10-41) and MASLD/MASH (OR = 2.55, p = 4.9 × 10-7) in UK Biobank, and had higher fasting insulin (difference = +19.8 pmol/L, p = 5.7 × 10-36) and fasting triglycerides (difference = +36.1 mg/dL, p = 2.5 × 10-28) in the Fenland Study. Across FMR and its component traits, 61 conditionally independent variant-trait pairs were discovered, including 13 newly-identified pairs. A polygenic score for FMR was associated with increased risk of cardiometabolic diseases. This work establishes the cardiometabolic significance of high FMR - a biomarker for FPLD - in two large cohort studies and may prove useful in increasing diagnosis rates of patients with metabolically unhealthy fat distribution to enable treatment or a preventive therapy.

Prevalence of Cardiometabolic Diseases Among Racial and Ethnic Subgroups in Adults - Behavioral Risk Factor Surveillance System, United States, 2013-2021.

Although diabetes and cardiovascular disease account for substantial disease prevalence among adults in the United States, their prevalence among racial and ethnic subgroups is inadequately characterized. To fill this gap, CDC described the prevalence of diagnosed cardiometabolic diseases among U.S. adults, by disaggregated racial and ethnic subgroups, among 3,970,904 respondents to the Behavioral Risk Factor Surveillance System during 2013-2021. Prevalence of each disease (diabetes, myocardial infarction, angina or coronary heart disease, and stroke), stratified by race and ethnicity, was based on self-reported diagnosis by a health care professional, adjusting for age, sex, and survey year. Overall, mean respondent age was 47.5 years, and 51.4% of respondents were women. Prevalence of cardiometabolic diseases among disaggregated race and ethnicity subgroups varied considerably. For example, diabetes prevalence within the aggregated non-Hispanic Asian category (11.5%) ranged from 6.3% in the Vietnamese subgroup to 15.2% in the Filipino subgroup. Prevalence of angina or coronary heart disease for the aggregated Hispanic or Latino category (3.8%) ranged from 3.1% in the Cuban subgroup to 6.3% in the Puerto Rican subgroup. Disaggregation of cardiometabolic disease prevalence data by race and ethnicity identified health disparities among subgroups that can be used to better help guide prevention programs and develop culturally relevant interventions.

Trends and disparities in prevalence of cardiometabolic diseases by food security status in the United States

BackgroundPrevious studies have demonstrated the association between food security and cardiometabolic diseases (CMDs), yet none have investigated trends in prevalence of CMDs by food security status in the United States (US).MethodsSerial cross-sectional analysis of the US nationally representative data from National Health and Nutrition Examination Survey (1999–2018) was conducted among adults aged 20 years or older. Food security status was defined by the US Household Food Security Survey Module (full, marginal, low, and very low food security). We estimated the age-adjusted prevalence of CMDs including obesity, hypertension, diabetes, and coronary heart disease by food security status. Racial and ethnic disparities in age-adjusted prevalence of CMDs by food security status were also assessed.ResultsA total of 49,738 participants were included in this analysis (weighted mean age 47.3 years; 51.3% women). From 1999 to 2018, the age-adjusted prevalence of CMDs was lower in full food secure group as compared with other groups. For example, trends in hypertension decreased from 49.7% (47.5-51.8%) to 45.9% (43.8-48.0%) (P-trend = 0.002) among the full and from 54.2% (49.9-58.5%) to 49.7% (46.8-52.6%) (P-trend = 0.02) among the marginal but remained stable among the low at 49.7% (47.9-51.6%) and among the very low at 51.1% (48.9-53.3%) (P-interaction = 0.02). Prevalence of diabetes increased from 8.85% (8.15-9.60%) to 12.2% (11.1-13.5%) among the full (P-trend < 0.001), from 16.5% (13.2-20.4%) to 20.9% (18.6-23.5%) (P-trend = 0.045) among the marginal and from 14.6% (11.1-19.0%) to 20.9% (18.8-23.3%) (P-trend = 0.001) among the low but remained stable at 18.8% (17.0-20.9) among the very low (P-trend = 0.35) (P-interaction = 0.03). Racial and ethnic differences in prevalence of CMD by food security status were observed. For example, among individuals with full food secure status, the prevalence of diabetes was 9.08% (95% CI, 8.60-9.59%) for non-Hispanic whites, 17.3% (95% CI, 16.4-18.2%) for non-Hispanic blacks, 16.1% (95% CI, 15.0-17.4%) for Hispanics and 14.9% (95% CI, 13.3-16.7%) for others.Conclusions and relevancePrevalence of CMDs was greatest among those experiencing food insecurity, and food insecurity disproportionately affected racial/ethnic minorities. Disparities in CMD prevalence by food security status persisted or worsened, especially among racial/ethnic minorities.

Relationship between prevalence of cardiometabolic diseases, self-reported memory loss, and self-reported depressed mood of older adults in Korea according to frailty and physical activity status

As the older population increases worldwide, frailty is the area of research that deserve further investigation and is considered a major social and public health concern. Frailty appears physically and mentally, and recently, the term cognitive frailty has been used to combine physical frailty and mild cognitive impairment syndrome. Frailty in older adults is characterized by low physical activity levels and a sedentary lifestyle. Physical activity is essential in managing mental health issues such as depression and can improve the executive function and memory of older adults with mild cognitive impairment. Therefore, this study aimed to examine the prevalence of cardiometabolic diseases, self-reported memory loss, and depression among older adults in Korea according to frailty and physical activity status. Using data from the 2019 Korea National Health and Nutrition Survey, this study analyzed 613 community-dwelling older males aged ≥65 years. Physical activity was measured using a Global Physical Activity Questionnaire. A health-related quality of life instrument with eight items (HINT-8) was used to assess self-reported memory loss and depressed mood. Relationships between physical activity levels, self-reported memory loss and depressed mood were analyzed using logistic regression. The incidence of HINT-8 memory (0.52 (95% confidence interval (CI): 0.32–0.85)) was significantly lower in the Physical Activity Level (PAL)-high/pre-frail; the incidence of HINT-8 depression (0.35 (95% CI: 0.21–0.59); 0.29 (95% CI: 0.17–0.52)) was significantly lower in the and PAL-high/pre-frail. We verified that the group with PAL-low/frail had the highest self-reported memory loss and depressed mood, suggesting that more physical activity may reduce self-reported memory loss and depressed mood among frail older males in Korea. However further research is needed to analyze the level of physical activity separately between work and leisure.

Cardiometabolic diseases and associated risk factors in transitional rural communities in tropical coastal Ecuador.

There is a growing epidemic of chronic non-communicable diseases in low and middle-income countries, often attributed to urbanization, although there are limited data from marginalized rural populations. This study aimed to estimate prevalence of cardiometabolic diseases and associated risk factors in transitional rural communities. A cross-sectional study of Montubio adults aged 18-94 years living in agricultural communities in a tropical coastal region of Ecuador. Data were collected by questionnaires and anthropometry, and fasting blood was analyzed for glucose, glycosylated hemoglobin, insulin, and lipid profiles. Population-weighted prevalences of diabetes, hypertension, and metabolic syndrome were estimated. Associations between potential risk factors and outcomes were estimated using multilevel regression techniques adjusted for age and sex. Out of 1,010 adults recruited, 931 were included in the analysis. Weighted prevalences were estimated for diabetes (20.4%, 95% CI 18.3-22.5%), hypertension (35.6%, 95% CI 29.0-42.1%), and metabolic syndrome (54.2%. 95% CI 47.0-61.5%) with higher prevalence observed in women. Hypertension prevalence increased with age while diabetes and metabolic syndrome peaked in the 6th and 7th decades of life, declining thereafter. Adiposity indicators were associated with diabetes, hypertension, and metabolic syndrome. We observed an unexpectedly high prevalence of diabetes, hypertension, and metabolic syndrome in these marginalized agricultural communities. Transitional rural communities are increasingly vulnerable to the development of cardiometabolic risk factors and diseases. There is a need for targeted primary health strategies to reduce the burden of premature disability and death in these communities.