Differences In Cardiometabolic Risk Factors Research Articles

Adverse differences in cardiometabolic risk factor levels between individuals with pre-diabetes and normal glucose metabolism are more pronounced in women than in men: the Maastricht Study

ObjectiveTo investigate whether adverse differences in levels of cardiovascular risk factors in women than men, already established when comparing individuals with and without diabetes, are also present before type 2...

Sex differences in cardiometabolic disorders.

The prevalence of cardiometabolic disorders in both women and men has increased worldwide and is linked to a rise in obesity and obesity-associated associated clustering of other cardiometabolic risk factors such as hypertension, impaired glucose regulation and dyslipidemia. However, the predominance of common types of cardiometabolic disorders such as heart failure, atrial fibrillation and ischemic heart disease is sex specific, and our identification of these and the underlying mechanisms is only just emerging. New evidence suggests that sex hormones, sex-specific molecular mechanisms and gender influence glucose and lipid metabolisms, as well as cardiac energy metabolism, and function. Here we review sex differences in cardiometabolic risk factors, associated preclinical and clinical cardiac disorders and potential therapeutic avenues.

Gender-related differences in cardiometabolic risk factors and lifestyle behaviors in treatment-seeking adolescents with severe obesity

BackgroundObesity during adolescence is associated with cardiovascular mortality in adulthood. The adverse obesity-related cardiometabolic risk profile is already observed in adolescence. We aimed to examine possible gender differences in cardiometabolic risk factors and lifestyle behaviors among adolescents with severe obesity, hypothesizing that boys would have both a higher prevalence of the metabolic syndrome as well as less healthy lifestyle behaviors than girls.MethodsCross-sectional study of treatment-seeking adolescents with severe obesity who attended the Morbid Obesity Centre at Vestfold Hospital Trust and who were consecutively enrolled in the Vestfold Register of Obese Children between September 2009 and September 2015. A total of 313 adolescents aged 12 to 18 years were recruited, whereof 268 subjects (49% boys) completed a food and activity frequency questionnaire and were included in the analysis.ResultsMean (SD) age, BMI and BMI SDS were 15 (1.6) years, 38.6 (5.9) kg/m2 and 3.5 (0.6). Levels of LDL cholesterol, fasting insulin and glucose and diastolic blood pressure (DBP) did not differ between genders. Compared to girls, boys had significantly higher triglycerides (p = 0.037) and systolic blood pressure (SBP) (p = 0.003), as well as lower HDL cholesterol (p = 0.002). The metabolic syndrome was present in 27% of the boys and 19% of the girls (p = 0.140), and the prevalence of high DBP, dyslipidemia and dysglycemia also did not differ significantly between genders. The prevalence of high SBP was higher in boys than in girls (19% vs. 9%, p = 0.021). Gender was associated with a number of lifestyle habits, as a larger proportions of boys had higher screen time (p = 0.032), more regular breakfast eating (p = 0.023), higher intake of sugar sweetened soda (p = 0.036), and lower intake of vegetables than girls (p = 0.011). By contrast, physical activity level and intake of fruit and berries did not differ between genders.ConclusionsMale treatment-seeking adolescents with severe obesity had a more unfavorable set of metabolic and behavioral risk factors for cardiovascular disease than girls. Our results indicate that lifestyle behavioral markers should be thoroughly assessed in both genders, and possible gender-related differences in risk profile should be taken into account in future treatment programs.

Different Associations of Trunk and Lower-Body Fat Mass Distribution with Cardiometabolic Risk Factors between Healthy Middle-Aged Men and Women.

The aim of this study was to assess whether the gender-specific pattern of fat mass (FM) distribution is related to gender differences in cardiometabolic risk factors. 207 healthy middle-aged Japanese were included in the study. We measured FM in the total body, trunk, and lower-body with dual-energy X-ray absorptiometry (DXA). The percentage of trunk FM (TFM) and lower-body FM (LFM) is noted as %TFM and %LFM, respectively. Other measurements included glucose and insulin during oral glucose tolerance test (OGTT), leptin, adiponectin, plasminogen activator inhibitor-1 (PAI-1), tumor necrosis factor-α (TNF-α), C-reactive protein (CRP), and systemic oxidative stress marker. Arterial properties were indicated by cardio-ankle vascular index (CAVI) and intima-media thickness (IMT) of the common carotid artery. The results showed that %TFM is higher whereas %LFM is lower in men than in women and men have a more atherogenic cardiometabolic profile. In both genders, %TFM (%LFM) is related to an unfavorable (favorable) cardiometabolic profile. In particular, the relation between %LFM and OGTT-derived insulin sensitivity index is stronger in women than in men. These findings suggested that in relatively healthy adults, android and gynoid pattern of FM distribution contributes to gender differences in cardiometabolic risk factors.

Why are there ethnic differences in cardio-metabolic risk factors and cardiovascular diseases?

Europe’s population is becoming increasingly ethnically diverse, and epidemiological studies indicate that there are remarkable differences in cardio-metabolic risk factors between ethnic groups living in the same area. Variations observed in the distribution of cardiovascular risk factors in these communities may therefore help explain—at least in part—the different burdens on cardiovascular diseases. So far, the underlying pathophysiology leading to ethnic variations in the prevalence of cardio-metabolic risk factors is still poorly understood but it is likely to represent the complex interactions from several innate and environmental factors. Tailored prevention and treatment strategies should therefore be implemented in those “high-risk populations,” but data derived from randomized clinical trials are still limited. This article will provide an overview on the role of ethnicity on cardio-metabolic risk factors and cardiovascular diseases, focusing on type 2 diabetes and dyslipidemia based mainly on Dutch and British data.

Gender Differences in Cardiometabolic Risk Factors in Metabolically Healthy Normal Weight Adults with Central Obesity.

We investigated whether metabolically healthy normal weight adults with central obesity display worse cardiometabolic profile compared with their centrally lean counterparts. This retrospective, cross-sectional study, comprised 1 135 subjects (64% females) aged 18-to-81 years, presenting ≤2 components of metabolic syndrome. They were classified as centrally lean (waist-to-height ratio (WHtR)<0.5 and waist circumference<80 cm in females and<94 cm in males) or presenting central obesity (WHtR ≥0.5, regardless of waist circumference). Data on blood pressure, glucose homeostasis, lipid profile, renal function, high-sensitive C-reactive protein (hsCRP), uric acid, adiponectin, leptin, and soluble receptor for advanced glycation end products were compared between the groups, separately in males and females. 5.7% of males and 6.9% of females presented WHtR ≥0.5. Compared with centrally lean subjects, those with central obesity had higher BMI-adjusted fasting plasma glucose (p<0.001), and leptin levels (p<0.05); females also presented higher blood pressure (p<0.001), while males had higher hsCRP concentrations (p=0.021). These changes associated with significantly higher BMI-adjusted odds to present fasting plasma glucose >5.6 mmol/l in both genders, higher odds to present hsCRP >3 mg/l in males, and those to present elevated blood pressure in females. Our analysis suggests that in metabolically healthy normal weight subjects WHtR ≥0.5 might indicate "early increased health risk".

Utility of Body Mass Index in Identifying Excess Adiposity in Youth Across the Obesity Spectrum

To determine the proportion of youth within a given body mass index (BMI) obesity category with excess adiposity using dual energy x-ray absorptiometry (DXA). Furthermore, to examine whether mean differences in cardiometabolic risk factors based upon various excess adiposity cutpoints were present. DXA data from the National Health and Nutrition Examination Survey 1999-2006 (n = 10 465; 8-20 years of age) were used for this analysis. Obesity categories were defined using Centers for Disease Control and prevention definitions for age and sex. Excess adiposity was defined using cohort-specific cutpoints at 75th, 85th, and 90th percentiles of DXA body fat (%) by age and sex using quantile regression models. Additionally, we examined differences in cardiometabolic risk factors among youth (BMI percentile >85th) above and below various excess adiposity cutpoints. Nearly all youth with class 3 obesity (100% male, 100% female; 97% male, 99% female; and 95% male, 96% female; using the 75th, 85th, and 90th DXA percentiles, respectively) and a high proportion of those with class 2 obesity (98% male, 99% female; 92% male, 91% female; and 76% male, 76% female) had excess adiposity. Significant discordance was observed between BMI categorization and DXA-derived excess adiposity among youth with class 1 obesity or overweight. Elevated cardiometabolic risk factors were present in youth with excess adiposity, regardless of the cutpoint used. BMI correctly identifies excess adiposity in most youth with class 2 and 3 obesity but a relatively high degree of discordance was observed in youth with obesity and overweight. Cardiometabolic risk factors are increased in the presence of excess adiposity, regardless of the cutpoint used.

Disparities in Prevalence of Cardiometablic Risk Factors in Rural, Urban-Poor, and Urban-Middle Class Women in India.

ObjectiveUrbanization is an important determinant of cardiovascular disease (CVD) risk. To determine location-based differences in CVD risk factors in India we performed studies among women in rural, urban-poor and urban middle-class locations.MethodsPopulation-based cross-sectional studies in rural, urban-poor, and urban-middle class women (35–70y) were performed at multiple sites. We evaluated 6853 women (rural 2616, 5 sites; urban-poor 2008, 4 sites; urban middle-class 2229, 11 sites) for socioeconomic, lifestyle, anthropometric and biochemical risk factors. Descriptive statistics are reported.ResultsMean levels of body mass index (BMI), waist circumference, waist-hip ratio (WHR), systolic BP, fasting glucose and cholesterol in rural, urban-poor and urban-middle class women showed significantly increasing trends (ANOVAtrend, p <0.001). Age-adjusted prevalence of diabetes and risk factors among rural, urban-poor and urban-middle class women, respectively was, diabetes (2.2, 9.3, 17.7%), overweight BMI ≥25 kg/m2 (22.5, 45.6, 57.4%), waist >80 cm (28.3, 63.4, 61.9%), waist >90 cm (8.4, 31.4, 38.2%), waist hip ratio (WHR) >0.8 (60.4, 90.7, 88.5), WHR>0.9 (13.0, 44.3, 56.1%), hypertension (31.6, 48.2, 59.0%) and hypercholesterolemia (13.5, 27.7, 37.4%) (Mantel Haenszel X2 ptrend <0.01). Inverse trend was observed for tobacco use (41.6, 19.6, 9.4%). There was significant association of hypertension, hypercholesterolemia and diabetes with overweight and obesity (adjusted R2 0.89–0.99).ConclusionsThere are significant location based differences in cardiometabolic risk factors in India. The urban-middle class women have the highest risk compared to urban-poor and rural.

Sex Differences in Cardiometabolic Risk Factors among Hispanic/Latino Youth

Sex Differences in Cardiometabolic Risk Factors among Hispanic/Latino Youth

Developmental trajectories of adiposity from birth until early adulthood and association with cardiometabolic risk factors.

To identify developmental trajectories of adiposity from birth until early adulthood, and to investigate how they relate with cardiometabolic risk factors at 21 years of age. Participants' weight and height measurements were obtained using the EPITeen cohort protocol at 13, 17 and 21 years of age, and extracted from child health books as recorded during health routine evaluations since birth. Blood pressure, triglycerides, cholesterol and insulin resistance (HOMA-IR) were assessed at 21 years. Trajectories were defined using 719 participants contributing 11 459 measurements. The individual growth curves were modelled using mixed-effects fractional polynomial, and the trajectories were estimated using normal mixture modelling for model-based clustering. Differences in cardiometabolic risk factors at 21 years according to adiposity trajectories were estimated through analysis of covariance (ANCOVA), and adjusted means are presented. Two trajectories-'Average body mass index (BMI) growth' (80.7%) and 'Higher BMI growth' (19.3%)-were identified. Compared with those in 'Average BMI growth', 'Higher BMI growth' participants were more frequently delivered by caesarean section, mothers were younger and had higher BMI, and parental education was lower; and at 21 years showed higher adjusted mean systolic (111.6 vs 108.3 mm Hg, P<0.001) and diastolic blood pressure (71.9 vs 68.4 mm Hg, P<0.001), and lower high-density lipoprotein cholesterol (53.3 vs 57.0 mg dl(-1), P=0.001). As there was a significant interaction between trajectories and sex, triglycerides and HOMA-IR were stratified by sex and we found significantly higher triglycerides, in males, and higher HOMA-IR in both sexes in 'Higher BMI growth' trajectory. All the differences were attenuated after adjustment for BMI at 21 years. In this long-term follow-up, we were able to identify two adiposity trajectories, statistically related to the BMI and cardiometabolic profile in adulthood. Our results also suggest that the impact of the adiposity trajectory on cardiometabolic profile is mediated by current BMI.

Exercise patterns and behaviour in Asian Indians: Data from the baseline survey of the Diabetes Community Lifestyle Improvement Program (D-CLIP)

AimsThis paper attempts to describe the patterns of exercise and the perceived benefits and barriers to exercise in an urban south Indian population. MethodsStudy participants were recruited from the baseline survey of the D-CLIP (Diabetes Community Lifestyle Improvement Program). Frequency, duration, type and location of exercise were assessed using a questionnaire, while a Likert type scale was used to assess perceived benefits of and barriers to exercise. Quality of life was measured using the EQ-5D. ResultsOut of 1281 participants (63.7% males), 24.1% reported doing ≥150min of exercise/week (“exercisers”) compared to 75.9% “non-exercisers”. Exercisers were significantly older (47 vs. 43 years), better educated (68.8% vs. 60%), had a higher monthly income (41% vs. 29.2%), consumed more fruits (38.2% vs. 25.6%) and vegetables (84.1% vs. 77.7%) and had better perceived state of health (81.1% vs. 76.8%), compared to non-exercisers. Exercisers had significantly lower HOMA-IR, higher Matsuda index and lower prevalence of low HDL cholesterol compared to non-exercisers. However, there were no significant differences in cardio-metabolic risk factors like diabetes, hypertension and obesity between the two groups. Walking was the most common type of exercise. Both exercisers and non-exercisers perceived the benefits of exercising, but barriers weighed more heavily on exercise behaviour. ConclusionsUrgent steps are needed to improve overall exercise levels in India by addressing barriers and improving the quality of exercise performed so as to enhance overall metabolic health.

“Leaner and less fit” children have a better cardiometabolic profile than their “heavier and more fit” peers: The Healthy Growth Study

Background and aimsTo examine differences in cardiometabolic risk factors between children of different BMI and fitness levels. Methods and resultsFrom a representative sample of 1222 boys and 1188 girls, aged 9–13 years, anthropometric, body composition, physical activity, cardiorespiratory fitness, biochemical and blood pressure data was collected. The prevalence of overweight and obesity was 29.9% and 11.8% respectively. In both genders, plasma HDL cholesterol concentration was higher in the ‘leaner and less fit’ group (lowest quartile of BMI and lowest quartile of fitness) compared to the ‘heavier and more fit’ (highest quartile of BMI and highest quartile of fitness) and intermediate (all other children) groups (p < 0.05). Furthermore, the ‘leaner and less fit’ groups in both genders had lower triacylglycerol concentration, total-to-HDL cholesterol ratio, HOMA-IR, insulin and systolic blood pressure levels compared to the ‘heavier and more fit’ and/or intermediate groups. Similar trends were observed for hypertension in boys and insulin resistance for both genders. Finally, the effect size of being ‘leaner and less fit’ on serum levels of cardiometabolic risk indices was mainly small to medium (i.e. Cohen's d 0.2–0.5). ConclusionLeaner and less fit boys and girls had better cardiometabolic risk profiles than their heavier and more fit peers, probably suggesting a higher importance of leanness over fitness in children from a cardiometabolic health benefit perspective.

The effect of body fat distribution on ethnic differences in cardiometabolic risk factors of Chinese and Europeans

This study aimed to examine the differences in body fat distribution and cardiometabolic risk between individuals of Chinese and European origin and the role of body fat distribution on ethnic differences in cardiometabolic risk. A total of 418 participants from the Multicultural Community Health Assessment Trial were assessed for visceral adipose tissue (VAT), subcutaneous abdominal adipose tissue (SAT), anthropometric variables, blood pressure, and lipid, insulin, and glucose levels. Multiple regression analyses were split by sex and adjusted for appropriate covariates in model 1a and further adjusted for VAT in model 1b or SAT in model 1c. A secondary model replaced body mass index (BMI) with waist circumference (WC). Chinese males had higher levels of triglycerides, insulin, homeostasis model assessment, and SAT than European males, as well as higher total cholesterol (TC), glucose, and VAT in the model adjusted for WC. Chinese females had higher glucose levels than European females after adjustment for either BMI or WC. When VAT was added to the models, differences in cardiometabolic risk factors remained significant but were attenuated between Chinese and European males and females; SAT did not attenuate the ethnic difference in cardiometabolic risk. These findings suggest that the higher VAT levels seen in the Chinese population do not fully account for the ethnic disparities in these risk factors. Given the observed interethnic difference in body composition, current BMI and WC cutoffs might be misleading when it comes to identifying Chinese individuals at risk for type 2 diabetes or cardiovascular disease.

Similarities and differences in cardiometabolic risk factors among remote Aboriginal Australian and Canadian cohorts

AimIndigenous populations of Australia and Canada experience disproportionately high rates of chronic disease. We hypothesized that despite the common outcome of increased diabetes prevalence, differences in cardiometabolic risk profile may exist between these populations. MethodsWe compared community-based data on cardiometabolic risks in Aboriginal Australians (n=297 without, 45 with diabetes), and Aboriginal Canadians (n=409 without, 87 with diabetes). ResultsDespite strikingly lower weight (62 vs 83kg, p<0.0001) and body mass index (BMI, 22 vs 29kg/m2, p<0.0001), Aboriginal Australians without diabetes had similar waist–hip ratio (WHR, 0.91 vs 0.91, p=0.732), lower HDL-cholesterol (0.97 vs 1.25mmol/L, p<0.0001) and higher HbA1c (5.4 vs 5.2%, p<0.0001) than Aboriginal Canadians without diabetes. Waist was the obesity measure most strongly related to diabetes or cardiometabolic risk in Australians while BMI performed similarly to other obesity measures only in Canadians. Multiple regression of HbA1c revealed age and fasting glucose as independent predictors in each study group, with the addition of WHR in Aboriginal Australians. ConclusionThe notable finding was that waist or WHR are preferred obesity measures to appropriately reflect cardiometabolic risk in Aboriginal Australians, who although leaner by BMI criteria, displayed a similarly adverse risk profile to Aboriginal Canadians. Waist or WHR should be routinely included in clinical assessment in these high-risk populations.

Physical Activity Intensity and Cardiometabolic Risk in Youth

To determine the association between physical activity (PA) intensities and cardiometabolic risk factors in youth. Cross-sectional study using data from the 2008 Healthy Hearts Prospective Cohort Study of Physical Activity and Cardiometabolic Health in Youth. Rural and urban communities in Alberta, Canada. A convenience sample of 605 youth aged 9 to 17 years. Youth were on average aged 12.1 years, 248 were boys (41%), and 157 were overweight or obese (26%). Actical accelerometer-measured PA intensity. The primary outcome was body mass index (calculated as weight in kilograms divided by height in meters squared) z score. Secondary outcome measures included waist circumference, systolic blood pressure, and cardiorespiratory fitness (maximal oxygen consumption [[Vdot]O2max]). Body mass index z score, waist circumference, and systolic blood pressure decreased and [Vdot]O2max increased in a dose-response manner across tertiles of vigorous PA (adjusted P < .001). No significant differences in cardiometabolic risk factors were seen across tertiles of moderate or light PA in multivariable analyses. Achieving more than 7 minutes of vigorous PA daily was associated with a reduced adjusted odds ratio of overweight status (0.56; 95% CI, 0.33-0.95) and elevated systolic blood pressure (0.36; 95% CI, 0.16-0.79). The odds of overweight status and elevated blood pressure decreased with increasing time and intensity of PA. Only vigorous PA was consistently associated with lower levels of waist circumference, body mass index z score, systolic blood pressure, and increased cardiorespiratory fitness in youth. These findings underscore the importance of vigorous PA in guidelines for children and adolescents.

Job strain associated CRP is mediated by leisure time physical activity: Results from the MONICA/KORA study

Psychological stress at work is considered a cardiac risk factor, yet whether it acts directly through neuroimmune processes, or indirectly by increasing behavioral risk factors, is uncertain. Cross-sectional associations between job strain and serum biomarkers of inflammation and endothelial dysfunction were investigated. Secondary analyses explored the role of psychosocial/cardiometabolic risk factors as mediators of job stress associated inflammation in healthy workers. Information on risk factors was obtained in standardized personal interviews of a subcohort of working participants in the MONICA/KORA population (n = 951). Work stress was measured by the Karasek job strain index. Biomarkers were measured from non-fasting venous blood. Multivariate regression analyses were used to examine the association of job strain with inflammatory biomarkers. Mediation analysis (Sobel test) was used to determine the effect of psychosocial risk factors on the association between job strain and C-reactive protein (CRP). High job strain was reported by half (n = 482, 50.7%) of the study participants. While workers with high job strain were more likely to have adverse workplace conditions (competition with coworkers, job dissatisfaction and insecurity), sleeping problems, depressive symptoms, a Type A personality, and be physically inactive, no differences in cardiometabolic risk factors were detected. A strong and robust association between job strain and CRP was observed in age and sex adjusted models, as well as models adjusted for classic coronary heart disease risk factors (β = 0.39, p = 0.006 and β = 0.27, p = 0.03, respectively). Adjustment for physical activity abrogated this effect (β = 0.23, p = 0.07), and a mediating effect of physical activity on stress-associated inflammation was demonstrated (p = 0.04). The analyses provide evidence for both a direct and an indirect effect of job strain on inflammation.

Cardiometabolic Risk Profiles and Carotid Atherosclerosis in Individuals With Prediabetes Identified by Fasting Glucose, Postchallenge Glucose, and Hemoglobin A1c Criteria

OBJECTIVEWe evaluated whether cardiometabolic risk profiles differ for subjects identified as having prediabetes by A1C, fasting glucose (FPG), or 2-h postchallenge glucose (2-PG) criteria.RESEARCH DESIGN AND METHODSAtherosclerosis risk factors, oral glucose tolerance test, and ultrasound measurement of carotid intima–media thickness (IMT) were analyzed in 780 nondiabetic individuals.RESULTSPoor agreement existed for A1C and FPG criteria for identification of subjects with prediabetes (κ coefficient = 0.332). No differences in cardiometabolic risk profiles were observed among the three groups of individuals with prediabetes by A1C only, FPG only, and both A1C and FPG. Poor agreement also existed for A1C and 2-PG criteria for identification of individuals with prediabetes (κ coefficient = 0.299). No significant differences in cardiometabolic risk factors were observed between IGT-only and individuals with prediabetes by A1C and 2-PG. Compared with subjects with prediabetes identified by A1C only, IGT-only individuals exhibited a worse cardiometabolic risk profile, with significantly higher systolic blood pressure, pulse pressure, 2-h postchallenge insulin, triglycerides, high-sensitivity C-reactive protein, and carotid IMT, and lower HDL cholesterol levels and insulin sensitivity.CONCLUSIONSThese results suggest that considerable discordance between A1C, FPG, and 2-PG exists for the identification of individuals with prediabetes and that the cardiometabolic risk profile of these individuals varies by metabolic parameter, with 2-PG showing the stronger association with cardiometabolic risk factors and subclinical atherosclerosis than FPG or A1C.

Contemporary female smokers in the us are younger and of lower socioeconomic status

Smoking is the most common cause of prema-ture cardiovascular disease in women, but con-temporary data is lacking. We sought to inves-tigate the differences between female smokers and nonsmokers in the US. Methods: Using a registry of almost 19,000 women who attended free public heart screenings sponsored by Sis-ter to Sister between 2008 and 2009 in 17 large US cities, we compared the means for lipid val-ues, cardiometabolic measures, and differences in sociodemographic information between smok-ers and nonsmokers. Secondary outcomes were age and race-adjusted odds for obesity, the metabolic syndrome, hypertension, a non-HDL > 160 mg/dl, and a serum glucose ≥ 126 mg/dl between smoking and nonsmoking women. Results: The final sample included 18,892 women (49.8 ± 14.3 years, 37% black, and 32% white, 14% Hispanic), with 1,216 (6.4%) current smokers. Smokers were younger than non-smokers (45.6 ± 13.0 vs 50.1 ± 14.4 years, p 160 mg/dl (OR 1.19; 1.01 - 1.39). Insurance and income data showed a sig-nificant inverse relationship between smoking prevalence and increasing household income. Conclusions: In this richly diverse sample of women, female smokers were younger and of lower socioeconomic status than nonsmokers with significant differences in cardiometabolic risk factors.