MetS Score Research Articles

Association between a metabolic syndrome score and high sensitivity C-reactive protein in European children: the IDEFICS study

AbstractIntroductionMetabolic syndrome (MetS) is a combination of risk factors that may be present already in childhood. MetS has been associated with inflammatory biomarkers such as high sensitivity C-reactive protein (hsCRP) in aduls. In 2014, Ahrens et al, published reference standards for a paediatric MetS score based on reference values from European children. The aim of this study is to assess longitudinally the relationship between a MetS score and hsCRP in a sample of European children.Materials and MethodsOut of the baseline sample of the IDEFICS Study, 2913 children aged 2–9 years were included in this study. Inclusion criteria was having available data of waist circumference (WC), diastolic and systolic blood pressure (DBP, SBP), high density lipoprotein (HDL) cholesterol, triglycerides (TG), glucose and insulin, to calculate the homeostasis model assessment index (HOMA); and hs-CRP as a marker of inflammation, at baseline (T0) and two years later (T1). hs-CRP was categorized into two categories as some children had lower concentration than the detection limit of 0.02mg/dL. Student t-test and logistic regression were used to assess these associations. Logistic regression was adjusted by age, sex, body mass index (BMI), socioeconomic level and country.ResultsDifferences of mean values of the components of the MetS and the two categories of hs-CRP were observed between both time points. Mean values of SBP, DBP, WC, TG and HOMA were significantly higher in children with a higher category of hsCRP (p < 0.005). In addition, MetS score was significantly higher in those with a higher category of hs-CRP (p < 0.001) at both measurement points, T0 and T1. Finally, logistic regression between components of MetS and categories of hs-CRP, at both time points, showed significant associations (p < 0.001) for WC (OR = 1.06 at T0 and OR = 1.04 at T1) and HDL (OR = 0.98 at T0 and OR = 0.98 at T1) and the MetS score (OR = 1.07) score at T1.DiscussionThe association between MetS and inflammation is already present in children. Out of the components of the MetS, WC and HDL were the ones more associated with an inflammatory state at two times points. Also the MetS score, but only at the follow-up, was associated with the hs-CRP. Therefore, in order to prevent the inflammatory state in childhood, efforts to improve the metabolic profile, specially WC and HDL, need to be made.

Socioeconomically disadvantaged groups and metabolic syndrome in European adolescents: The HELENA study

AbstractIntroduction:Psychosocial stressors deriving from socioeconomic disadvantages in adolescents can result in higher metabolic syndrome (MetS) risk. We aimed to examine whether socioeconomic disadvantages were associated with MetS independent of lifestyle and whether there was a dose response relationship between the number of cumulated socioeconomic disadvantages and the risk of MetS.Materials and Methods:The present study included 1,037 European adolescents (aged 12.5–17.5) of the 3,528 total HELENA participants. Sociodemographic variables and lifestyle were assessed through self-reported questionnaires. Disadvantaged groups included adolescents with low educated parents, low family affluence, migrant origin, unemployed parents, and from non-traditional families. MetS score was calculated as the sum of sex- and age-specific z-scores of waist circumference, HOMA-IR index, mean of z-scores of diastolic and systolic blood pressure and mean of z-score of HDL-C multiplied by -1 and z-score of TG. A higher score indicates poor metabolic health. Linear mixed-effects models were used to study the association between social disadvantages and MetS risk score. Models were adjusted for sex, age, pubertal status (Tanner stage) and lifestyle (diet quality, physical activity, alcohol consumption and smoking status).Results:Adolescents with low educated mothers showed a higher MetS score (0.54 [0.09–0.98]; β [99% confidence interval]) compared to high-educated mothers. Adolescents who accumulated more than three disadvantages (0.69 [0.08–1.31]) or with missing information on disadvantages (0.72 [0.04–1.40]) had a higher MetS risk compared to non-socioeconomically disadvantaged groups. Stronger associations between socioeconomic disadvantages and MetS were found in male in comparison with female adolescents.Discussion:Out of the studied socioeconomic disadvantages, maternal education is the most important determinant of adolescent's MetS risk independently of sex, age, Tanner stage, smoking status, alcohol consumption, diet quality and physical activity. Social vulnerabilities (migrant background, unemployment status and belonging to a non-traditional family) were not associated with a higher MetS risk in European adolescents. However, we found a dose-response relationship between the number of factors related to social disadvantage and adolescents’ MetS risk with adolescents accumulating three or more socioeconomic disadvantages showing the highest risk. Stronger associations between socioeconomic disadvantages and MetS were found in male compared to female adolescents. Policy makers should focus on low educated families to tackle health disparities.

Association between dietary inflammatory index and components of metabolic syndrome.

Introduction: Limited data are available on the association of Dietary Inflammatory Index (DII) with metabolic syndrome (MetS) and its components. The present study was conducted to investigate the association of DII with MetS and its components among Iranian adults. Methods: A total of 404 subjects, aged 18 years or older, were included in the current cross-sectional study. We used a validated and reliable 147-item food frequency questionnaire (FFQ) to assess dietary intakes. Fasting blood sample was obtained to quantify glycemic indicators and lipid profile. MetS was defined based on the guidelines of the National Cholesterol Education Program Adult Treatment Panel III (ATP III). Results: Mean age of study participants was 38.20 ± 9.55 years. No significant association was found between DII and odds of MetS (odds ratio [OR]: 0.92, 95% CI: 0.48-1.76). In terms of MetS components, a significant positive association was seen between DII scores and reduced levels of high-density lipoprotein cholesterol (HDL-C) (OR: 2.29, 95% CI: 1.32-3.97); such that after controlling for energy intake, demographic variables and BMI, participants in the highest category of DII had 2.71 times greater odds for having reduced levels of HDL-C (OR: 2.71, 95% CIs: 1.34, 5.47). There was no other significant association between other components of MetS and DII scores either before or after adjusting for confounding variables. Conclusion: We observed no significant association between DII and odds of MetS. However, higher score of DII was associated with lower levels of HDL.

Prediction modelling of 1-year outcomes to a personalized lifestyle intervention for Canadians with metabolic syndrome.

Metabolic syndrome (MetS) comprises a cluster of risk factors that includes central obesity, hypertension, dyslipidemia, and impaired glucose homeostasis. Although lifestyle interventions reduce MetS risk, not everyone responds to the same extent. The primary objective of this study was to identify variables that could predict 1-year changes in MetS risk in individuals participating in the Canadian Health Advanced by Nutrition and Graded Exercise (CHANGE) program. Participants were allocated into training (n = 157) and test (n = 29) datasets by availability of genetic data. A linear mixed-effect model revealed that age, medication, fasting glucose, triglycerides, high-density lipoprotein cholesterol, waist circumference, systolic blood pressure, and fibre intake were associated with continuous MetS (cMetS) score across all time points. Multiple linear regressions were then used to build 2 prediction models using 1-year cMetS score as the outcome variable. Model 1 included only baseline variables and was 38% accurate for predicting cMetS score. Model 2 included both baseline variables and the 3-month change in cMetS score and was 86% accurate. As a secondary objective, we also examined if we could build a model to predict a person's categorical response bin (i.e., positive responder, nonresponder, or adverse responder) at 1 year using the same variables. We found 72% concordance between predicted and observed outcomes. These various prediction models need to be further tested in independent cohorts but provide a potentially promising new tool to project patient outcomes during lifestyle interventions for MetS. Novelty Short-term changes in cMetS score improve prediction model performance compared with only baseline variables. Predictive models could potentially facilitate clinical decision-making for personalized treatment plans.

Cluster patterns of behavioural risk factors among children: Longitudinal associations with adult cardio-metabolic risk factors

Much of what is known about childhood clusters of cardiovascular disease behavioural risk factors (RFs) comes from cross-sectional studies, providing little insight into the long-term health impacts of different behavioural cluster profiles. This study aimed to establish the longitudinal relationship between cluster patterns of childhood behavioural RFs and adult cardio-metabolic RFs.Data were from an Australian prospective cohort study of 1265 participants measured in 1985 (ages 9–15 yrs), and in 2004–06 (ages 26–36 yrs). At baseline, children self-reported smoking status, alcohol consumption, physical activity (PA), dietary behaviour and psychological well-being. At follow-up, participants completed questionnaires and attended study clinics where the following component indicators of the metabolic syndrome (MetS) score were measured: waist circumference, blood pressure, fasting blood glucose and lipids. TwoStep cluster analyses were carried out to identify clusters in childhood. Linear regression was used to examine the longitudinal associations between cluster patterns of childhood behavioural RFs and adult cardio-metabolic RFs.Four childhood cluster patterns of behavioural RFs labelled ‘most healthy’, ‘high PA’, ‘most unhealthy’, and ‘breakfast skippers’ were identified. The unhealthier childhood clusters predicted a significantly higher adult MetS score (‘most unhealthy’: β = 0.10, 95%CI = 0.01, 0.19) and adult waist circumference (‘most unhealthy’: β = 2.29, 95%CI = 0.90, 6.67; ‘breakfast skippers’: β = 2.15, 95%CI = 0.30, 4.00). These associations were independent of adult behavioural RFs and socio-economic position.These findings emphasise the impact of multiple childhood behavioural RFs on important adult health outcomes and may be useful for the development of early intervention strategies, where identification of children at higher risk of poorer adult cardio-metabolic health is vital.

Relationships between Serum Uric Acid, Malondialdehyde Levels, and Carotid Intima-Media Thickness in the Patients with Metabolic Syndrome

Oxidative stress is the major cause of atherosclerosis and cardiovascular diseases. This cross-sectional study is aimed at determining if parallel serum markers of oxidative stress are related to carotid intima-media thickness (IMT). We enrolled 134 participants with varied metabolic syndrome (Met-S) scores (zero, n = 21; one, n = 19; two, n = 27; three, n = 26; four, n = 25; five, n = 16). Biochemical profiles and potential oxidative stress biomarkers malondialdehyde (MDA) and uric acid were measured in fasting plasma. We found that carotid IMT positively correlated with both MDA and uric acid levels. Multivariate analysis revealed that both MDA (p < 0.05) and uric acid (p < 0.01) levels were significantly associated with carotid IMT in participants whose Met-S scores were ≥1 or ≥2. However, only uric acid (p < 0.01) levels were positively associated with carotid IMT in patients with metabolic syndrome. Linear regression model analysis revealed that the prediction accuracies for carotid IMT from MDA combined with uric acid and from a combination of MDA, uric acid, and Met-S score were 0.176 and 0.237, respectively. These were better than the predication accuracies from MDA (r2 = 0.075) and uric acid (r2 = 0.148) individually. These results suggest that measuring uric acid levels along with MDA biomarkers and Met-S scores may be a promising step in the development of an effective model for monitoring the severity of carotid IMT and atherosclerosis in the patients with metabolic syndrome.

Subclinical alterations in left ventricular structure and function according to obesity and metabolic health status.

BackgroundObesity and metabolic syndrome (MetS) are associated with high risk of cardiac dysfunction and heart failure. We assessed the effect of obesity and metabolic health status on left ventricular (LV) structure and function in subjects without overt heart disease.MethodsIn 789 subjects (58.8±13.0 years, 50.7% males) without overt heart disease, LV morphology and function were compared among 6 groups stratified by body mass index (BMI) (normal weight, overweight and obese) and metabolic health status (meeting ≤1 criterion of MetS excluding waist circumference defined as metabolically healthy; otherwise, metabolically unhealthy).ResultsLV ejection fraction (LVEF) was not different among the 6 groups (P>0.05). However, high BMI and poor metabolic health were associated with poorer global longitudinal strain (GLS), higher LV mass index (LVMI) and higher E/e′ (P<0.001). Poor metabolic health status was associated with greater adverse changes in LV structure and function than obesity, and among MetS components, high systolic blood pressure (SBP) showed the greatest impact. Higher SBP, BMI and triglycerides were independently associated with worse GLS, and higher SBP was also associated with worse LVMI and E/e´. GLS, LVMI and E/e´ worsened in proportion to the number of MetS criteria or continuous MetS scores. Adverse myocardial changes associated with obesity were significant in the metabolically healthy group, but not in the metabolically unhealthy group.ConclusionsObesity and poor metabolic health status were associated with subclinical decrement in LV systolic and diastolic function, and higher LV mass, but not with LVEF, in subjects without overt heart disease.

Association between risk factors of metabolic syndrome with lung function

Background/ObjectivesIncreased evidence suggests that metabolic syndrome (MetS) is correlated with lung function impairment. This study aimed to explore the associations between MetS risk factors and the lung function.Subjects/MethodsThe cross-sectional study included 6945 participants attending health examination between 2010 and 2012 in Taiwan. MetS was assessed according to the criteria of National Cholesterol Education Program III. Spirometric parameters were measured to define lung function. The relationships were tested using multiple linear regression and logistic regression analyses.ResultsThe prevalence of MetS was significantly higher in males (16.2%) than females (3.8%). Although the prevalence of restrictive lung disease (RLD) was comparable between genders (20.7 and 21.0%), males with co-existent MetS had a higher prevalence of RLD than females (27.4 vs. 18.0%). Abdominal obesity, indicated by waist circumference (WC) and weight-to-height ratio (WHtR), was the most significant factor associated with lung function decline. Other components of MetS also showed statistically significant relationships, but very weak, with lung function. There was a trend toward an increased prevalence of RLD with the increasing number of MetS scores in males, independent of age, smoking, and body mass index.ConclusionsAbdominal obesity was the key component of MetS associated with mechanical effect on lung function impairment in a prime-age adult population. Although RLD was not associated with increased probability of having MetS, the participants with more MetS scores were at a higher risk of losing lung function.

Wrist circumference is a biomarker of adipose tissue dysfunction and cardiovascular risk in children with obesity.

To evaluate the relationship between wrist circumference, markers of adipose dysfunction, and cardiovascular risk in youths with obesity. In this cross-sectional study, we measured body mass composition by dual-energy X-ray absorptiometry, wrist circumference, waist-to-height ratio, fasting blood insulin, glucose, lipid profile, adiponectin, and leptin in 280 children with overweight/obesity and without diabetes (age: 7-18years). Cardiovascular risk was estimated by "metabolic syndrome score" (MetS score). Study participants had median [25th-75th percentile] wrist circumference of 17.5[16.7-18.5]cm and waist-to-height ratio of 0.62 [0.59-0.67]. Lower adiponectin-leptin ratio was found among subjects in the upper 50th percentiles of wrist circumference [0.17 (0.09-0.36) vs. 0.38 (0.16-0.79); p < 0.001]. Wrist circumference was independently associated with MetS score (r = 0.5 p < 0.001). Among MetS score components, an independent association between wrist circumference HDLc, triglycerides, and systolic blood pressure was found (r = - 0.253 p < 0.001; r =+ 0.204 p < 0.001; r = + 0.403 p = < 0.001, respectively). The coefficient of determination for MetS score was nominally higher when considering wrist circumference as independent variable (Adj-R2 = 0.30) then when considering body mass index SD (Adj-R2 = 0.28), waist-to-height ratio (Adj-R2 = 0.26) or truncal fat percentage (Adj-R2 = 0.01). The addition of wrist circumference in age and gender adjusted models, accounting to any other anthropometric parameters, resulted in a significant improvement of the Adj-R2 (p < 0.001 for all). Our study shows that wrist circumference independently relates to adiponectin-leptin ratio and to the prediction of cardiovascular risk, suggesting it as an efficient and adjunctive anthropometric marker of cardiometabolic risk in children with obesity.

Modifiable factors associated with symptomatic knee osteoarthritis: The Murakami cohort study

ObjectivesModifiable risk factors for knee osteoarthritis (OA) have not been studied in detail. This study aimed to determine lifestyle-related modifiable factors of symptomatic knee osteoarthritis in an East Asian population. Study designThis 5-year cohort study involved 11,091 individuals (age range 40–72 years) living in the Murakami region of Niigata, Japan, who did not have a history of knee OA. At baseline, information on sociodemographic characteristics, body size, lifestyle, and living condition was obtained using a self-administered questionnaire. Main outcome measuresIncident symptomatic knee OA observed at hospitals and orthopaedic clinics in the five years to 2016. Clinical grades of knee OA were based on the Kellgren-Lawrence scale. P for trend was assessed to examine linear associations between predictors and the outcome in multiple logistic regression analysis. ResultsThe mean age of participants was 58.1 (SD 9.3) years. The number of cases of grade 2 or more incident knee OA was 429. In men, older age (P for trend < 0.0001), higher BMI (P for trend < 0.0001), higher METs score (P for trend = 0.0150), less smoking (P for trend = 0.0249), and lower green tea consumption (P for trend = 0.0437) were associated with incident knee OA. In women, older age (P for trend < 0.0001), higher BMI (P for trend < 0.0001), and alcohol consumption (P = 0.0153) were associated with incident knee OA. ConclusionsSeveral lifestyle-related factors were found to be associated with incident knee OA and exhibited sex-dependent differences. In particular, higher consumption of green tea was associated with a lower incidence of knee OA in men.

Waist circumference is a major determinant of oxidative stress in subjects with and without metabolic syndrome

AimOxidative stress (OS) plays a major role in pathogenic mechanisms associated with metabolic syndrome (Mets) yet the main component of Mets contributing most to OS is not well elucidated. Hence, the aim of this study was to investigate the oxidative-antioxidative status in Mets subjects and to determine the main predicting component of OS. MethodsAnthropometric measures, fasting blood glucose, lipid profile, antioxidant enzymes [catalase, superoxide dismutase (SOD) and glutathione peroxidase (GPx)], reduced glutathione (GSH), malondialdehyde (MDA) and protein carbonyl were assessed in 172 adult UAE residents. International Diabetes Federation criteria were used for Mets diagnosis. Mets Scores (0–5) were calculated and assigned per subject based on number of components. ResultsOf all participants, 22.1% had Mets and 49.4% had large waist circumference (WC). Significant lower levels of catalase, SOD, GPx and GSH, and higher levels of MDA and protein carbonyl were observed in subjects with Mets. In addition, catalase, SOD, GPx, and GSH correlated negatively, while MDA and protein carbonyl correlated positively with almost all Mets components. Similar trend of correlations was noticed with Mets Scores. When adjusted for age and gender, linear regression analysis revealed that subjects with large WC demonstrated significantly lower levels of antioxidative enzymes and GSH, and higher levels of MDA and protein carbonyl. Consequently, WC emerged as the best predictor of OS. ConclusionsThe degree of OS is dependent on the Mets Scores, and WC contributes independently to increased OS among adults in UAE.

453-P: Metabolic Syndrome Severity Score, All-Cause Mortality, and Incident Vascular Events in Type 2 Diabetes: A 13-Year, Single-Centre, Follow-Up Study

Metabolic Syndrome (MetS) is associated with CV events in T2DM. We assessed over a 13-years follow-up the association between a “MetS severity score”, derived from WC, sBP, HDL and triglycerides (courtesy Dr. Mark DeBoer) and both all-cause death and incident CV events in 986 T2DM. Compared to lowest quartile, Q2-4 showed a steeply worsening CV risk profile. A total of 230 deaths occurred over 12.9±2.7 years (23.3%; 18.0 x 1000 PYs). Death rate was J-shaped: Q1 22.4%; Q2 18.2%; Q3 25.9% and Q4 26.8% (p=0.090). Electing arbitrarily Q2 as reference, and after adjustment for confounders and, finally, for parameters of MetS score, HRs (95% CI) vs. Q2 for death were: Q1 1.46 (0.97-2.19; p=0.070), Q3 1.61 (1.09-2.38; p=0.016) and Q4 1.82 (1.20-2.75, p=0.005). Over 11.3±4.4 years, 276 major CV events occurred in 972 T2DM (28.4%; 25.2 x 1000 PYs); adjusted HRs vs. Q1 were: Q2 1.34 (0.93-1.93; p=0.117), Q3 1.99 (1.40-2.82, p&amp;lt;0.0001) and Q4 2.37 (1.66-3.39, p&amp;lt;0.0001). Over 11.8±4.0 years, 184 coronary events occurred (18.9%; 16.03 x 1000 PYs); adjusted HRs vs. Q1 were: Q2 1.79 (1.12-2.84; p=0.015), Q3 2.27 (1.44-3.60, p&amp;lt;0.0001) and Q4 2.99 (1.88-4.74, p&amp;lt;0.0001). Over 12.7±3.1 years, 84 heart failure occurred (8.6%; 6.78 x 1000 PYs); HRs vs. Q1 were: Q2 2.23 (1.01-4.90; p=0.046), Q3 3.38 (1.56-7.31, p=0.002) and Q4 4.60 (2.16-9.82, p&amp;lt;0.0001). Finally, over 12.8±3.1 years, 71 ESRD occurred (7.3%; 5.72 x 1000 PYs); HRs vs. Q1 were: Q2 1.27 (0.57-2.82; p=0.558), Q3 2.12 (1.01-4.45, p=0.048) and Q4 2.16 (1.01-4.65, p=0.048). Further correction for MetS score components excluded MetS score as an independent covariate of outcomes other than death. With the limitations imposed by sample size and the strenght of long-term observation, we suggest that in T2DM MetS score predicts all-cause mortality indipendent of main risk factors and of each component of MetS. MetS score was associated with CV outcomes and ESRD, but these associations were attenuated after adjustment for its components. Disclosure M. Garofolo: None. E. Gualdani: None. D. Lucchesi: None. L. Giusti: None. V. Sancho-Bornez: None. G. Daniele: None. R. Miccoli: None. P. Francesconi: None. G. Penno: None. S. Del Prato: Advisory Panel; Self; AstraZeneca, Boehringer Ingelheim Pharmaceuticals, Inc., Eli Lilly and Company, GlaxoSmithKline plc., Merck Sharp &amp; Dohme Corp., Novartis Pharmaceuticals Corporation, Novo Nordisk A/S, Sanofi, Servier, Takeda Pharmaceutical Company Limited. Board Member; Self; AstraZeneca. Research Support; Self; AstraZeneca, Boehringer Ingelheim Pharmaceuticals, Inc. Speaker's Bureau; Self; Boehringer Ingelheim Pharmaceuticals, Inc., Takeda Pharmaceutical Company Limited.

Average acceleration and intensity gradient of primary school children and associations with indicators of health and well-being

ABSTRACTAverage acceleration (AvAcc) and intensity gradient (IG) have been proposed as standardised metrics describing physical activity (PA) volume and intensity, respectively. We examined hypothesised between-group PA differences in AvAcc and IG, and their associations with health and well-being indicators in children. ActiGraph GT9X wrist accelerometers were worn for 24-h·d−1 over 7days by 145 children aged 9–10. Raw accelerations were averaged per 5-s epoch to represent AvAcc over 24-h. IG represented the relationship between log values for intensity and time. Moderate-to-vigorous PA (MVPA) was estimated using youth cutpoints. BMI z-scores, waist-to-height ratio (WHtR), peak oxygen uptake (VO2peak), Metabolic Syndrome risk (MetS score), and well-being were assessed cross-sectionally, and 8-weeks later. Hypothesised between-group differences were consistently observed for IG only (p < .001). AvAcc was strongly correlated with MVPA (r = 0.96), while moderate correlations were observed between IG and MVPA (r = 0.50) and AvAcc (r = 0.54). IG was significantly associated with health indicators, independent of AvAcc (p < .001). AvAcc was associated with well-being, independent of IG (p < .05). IG was significantly associated with WHtR (p < .01) and MetS score (p < .05) at 8-weeks follow-up. IG is sensitive as a gauge of PA intensity that is independent of total PA volume, and which relates to important health indicators in children.

Prospective Associations of Adolescent Conscientiousness With Psychological Resources and Metabolic Syndrome in Black and White Men.

Conscientiousness predicts better psychological resources as well as lower cardiovascular mortality and lower metabolic syndrome (MetS) risk. However, the benefits of conscientiousness might be amplified, disabled, or reversed in disadvantaged groups. This study is the first to test these competing hypotheses for prospective associations between adolescent conscientiousness and adult psychological resources and MetS. Participants were 220 men (54.6% black) from the Pittsburgh Youth Study. Adolescent conscientiousness (M [SD] age = 16 [1]) was rated by participants and their parents. Adult (M [SD] age = 32 [1]) socioeconomic status (SES; occupation and education), psychological resources (composite of positive affect, purpose in life, optimism, self-mastery, and self-esteem), and MetS scores (glucose, lipids, waist circumference, and blood pressure) were measured. Hierarchical regressions were used to evaluate the association of conscientiousness with adult psychological resources and MetS scores, with testing of moderation by race and SES. Self- and parent-reported conscientiousness were associated with better psychological resources (βs = 0.23-0.29, ps ≤ .015), with no moderation by race or socioeconomic status. In the full sample, a three-way interaction of self-reported conscientiousness, race, and SES was obtained for MetS (β = 0.12, p = .093). Subgroup analysis indicated that self-reported conscientiousness was related to higher MetS scores in low SES black men (βint = -0.22, p = .022), but there was no comparable linear (βs ≤ 0.08, ps ≥ .50) or interaction (βs ≤ -0.13 ps ≥ .25) pattern in white men. Adolescent conscientiousness was beneficial for adult psychological resources, regardless of race or SES. However, there may be physiological costs of conscientiousness for black men from disadvantaged backgrounds.

Prospective associations among objectively and subjectively assessed sleep and the metabolic syndrome

ObjectiveSubjective sleep disturbances have been associated with greater risk for concurrent and incident metabolic syndrome (MetS). Previous studies have not examined prospective associations among polysomnography-assessed sleep and the MetS, despite knowledge that self-reported sleep is subject to reporting bias, and that subjectively and objectively assessed sleep are weakly correlated. MethodIn the current study, objectively-assessed (polysomnography) and subjectively-assessed (Pittsburgh Sleep Quality Index, PSQI) sleep was measured in 145 adults at two timepoints, separated by 12–30 years. A continuous measure of the MetS was assessed at the second time point. Statistical analyses were adjusted for age, sex, lifetime history of major depressive disorder, follow-up time, and apnea-hypopnea index. ResultsPolysomnography-assessed sleep duration, latency, efficiency, and slow wave sleep were not significantly prospectively associated with the MetS (ps ≥ 0.16). Self-reported longer sleep latency was prospectively associated with higher MetS scores in unadjusted (β = 0.29, p = 0.002) and adjusted models (β = 0.25, p = 0.009). Longer sleep latency was associated with higher fasting glucose levels (β = 0.47, p < 0.001). ConclusionOur study provides evidence that subjective and objective measures of sleep may differ in their ability to prospectively predict MetS.

Anthropometric measurements as a potential non-invasive alternative for the diagnosis of metabolic syndrome in adolescents.

To identify which anthropometric measurement would be the best predictor of metabolic syndrome (MetS) in Brazilian adolescents. Cross-sectional study conducted on 222 adolescents (15-17 years) from a city in southern Brazil. Anthropometric, physical activity, blood pressure and biochemical parameters were investigated. MetS criteria were transformed into a continuous variable (MetS score). Linear regression analyses were performed to assess the associations of BMI, hip circumference, neck circumference (NC), triceps skinfold, subscapular skinfold and body fat percentage with MetS score. ROC curves were constructed to determine the cutoff for each anthropometric measurement. The prevalence of MetS was 7.2%. Each anthropometric measurement was significantly (p < 0.001) associated with MetS score. After adjusting for potential confounding variables (age, sex, physical activity, and maternal education), the standardized coefficients of NC and body fat percentage appeared to have the strongest association (beta = 0.69 standard deviation) with MetS score. The regression of BMI provided the best model fit (adjusted R2 = 0.31). BMI predicted MetS with high sensitivity (100.0%) and specificity (86.4%). Our results suggest that BMI and NC are effective screening tools for MetS in adolescents. The early diagnosis of MetS combined with targeted lifestyle interventions in adolescence may help reduce the burden of cardiovascular diseases and diabetes in adulthood.

Light smoking is associated with metabolic syndrome risk factors in Chilean young adults.

Metabolic syndrome (MetS) is a cluster of risk factors for cardiometabolic diseases. While cigarette smoking is associated with MetS in adults, young adulthood is an under-studied, susceptible period for developing long-term morbidity from MetS. We examined associations between cigarette smoking and MetS risk factors. We studied 430 participants in Santiago, Chile who have been followed in a longitudinal cohort since infancy and assessed in adolescence for MetS. Participants were evaluated at 22years from May 2015 to July 2017. Adiposity, blood pressure, and blood samples were measured. MetS was defined using International Diabetes Federation criteria. A continuous MetS score was calculated using z-scores. Participants self-reported cigarette and alcohol consumption using standardized questionnaires. We used multivariate regressions to examine associations between smoking and MetS risk factors, adjusting for sex, MetS in adolescence, alcohol consumption, and socioeconomic status. Thirteen percent of participants had MetS and 50% were current smokers. Among smokers, mean age of initiation was 14.9years and consumption was 29 cigarettes weekly. Smokers had larger waist circumferences, higher BMIs, and lower high-density lipoprotein (HDL) cholesterol compared to non-smokers. Being a current smoker was significantly associated with higher waist circumference (β = 2.82; 95% CI 0.63, 5.02), lower HDL (β = - 3.62; 95% CI - 6.19, - 1.04), higher BMI (β = 1.22; 95% CI 0.16, 2.28), and higher MetS score (β = 0.13, 95% CI 0.02, 0.24). Cigarette smoking at light levels (mean < 30 cigarettes weekly) was associated with MetS risk factors in a sample of Chilean young adults.

The Relationship Between Mitral Annular Calcification, Metabolic Syndrome and Thromboembolic Risk.

IntroductionMetabolic syndrome (MetS) is defined as an association between diabetes, hypertension, obesity and dyslipidemia and an increased risk of cardiovascular disease. Mitral annular calcification (MAC) is associated with several cardiovascular disorders, including coronary artery disease, atrial fibrillation (AF), heart failure, ischemic stroke and increased mortality. The CHA2DS2-VASc score is used to estimate thromboembolic risk in AF. However, the association among MAC, MetS and thromboembolic risk is unknown and was evaluated in the current study.MethodsThe study group consisted of 94 patients with MAC and 86 patients with MetS. Patients were divided into two groups: those with and those without MAC.ResultsPatients with MAC had a higher MetS rate (P<0.001). In patients with MAC, the CHA2DS2-VASc scores and the rate of cerebrovascular accident and AF were significantly higher compared to those without MAC (P<0.001, for both parameters). The results of the multivariate regression analysis showed that history of smoking, presence of MetS and high CHA2DS2-VASc scores were associated with the development of MAC. ROC curve analyses showed that CHA2DS2-VASc scores were significant predictors for MAC (C-statistic: 0.78; 95% CI: 0.706-0.855, P<0.001). Correlation analysis indicated that MAC was positively correlated with the presence of MetS and CHA2DS2-VASc score (P=0.001, r=0.264; P<0.001, r=0.490).ConclusionWe have shown that CHA2DS2-VASc score and presence of MetS rates were significantly higher in patients with MAC compared without MAC. Presence of MAC was correlated with CHA2DS2-VASc score, presence of MetS, AF and left atrial diameter and negatively correlated with left ventricular ejection fraction.

Counting Footsteps with a Pedometer to Improve HMW Adiponectin and Metabolic Syndrome among Young Female Adults in the United Arab Emirates.

Introduction Physical activity (PA) may improve cardiometabolic fitness and increase high-molecular-weight adiponectin (HMW-Adip). The pedometer is an effective, user-friendly device to monitor PA with the aim of improving health. This study examined how counting footsteps, using a pedometer, might affect HMW-Adip and MetS components among young females. Methods Fifty-two females (21.43 ± 4.8 years) were divided into “normal” (BMI = 18–24.9 kg/m2) and “high” (BMI ≥ 25 kg/m2) BMI groups. Participants wore pedometers throughout the day for nine weeks. Pre-post intervention tests performed on anthropometric, biochemical, and nutrient intake variables were tested at p ≤ 0.05. Results Participants walked 7056 ± 1570 footsteps/day without a significant difference between normal (7488.49 ± 1098) and high (6739.18 ± 1793) BMI groups. After week 9, the normal BMI group improved significantly in BMI, body fat mass (BFM), and waist-hip ratio (WHR). Additionally, percent body fat, waist circumference (WC), and visceral fat area also reduced significantly in the high BMI group. A significant decrease in triglycerides (TG) (71.62 ± 29.22 vs. 62.50 ± 29.16 mg/dl, p=0.003) and insulin (21.7 ± 8.33 µU/l vs. 18.64 ± 8.25 µU/l, p=0.046) and increase in HMW-Adip (3.77 ± 0.46 vs. 3.80 ± 0.44 μg/ml, p=0.034) were recorded in the high BMI group. All participants exhibited significant inverse correlations between daily footsteps and BMI (r=−0.33, p=0.017), BFM (r=−0.29, p=0.037), WHR (r=−0.401, p=0.003), and MetS score (r=−0.49, p < 0.001) and positive correlation with HMW-Adip (r=0.331, p=0.017). A positive correlation with systolic (r=0.46, p=0.011) and diastolic (r=0.39, p=0.031) blood pressures and inverse correlation with the MetS score (r=−0.5, p=0.005) were evident in the high BMI group. Conclusion Counting footsteps using a pedometer is effective in improving MetS components (obesity, TG) and increasing HMW-Adip levels.

Inverse Association Between Metabolic Syndrome and Altitude: A Cross-Sectional Study in an Adult Population of Ecuador.

Background: Metabolic syndrome (MetS) is characterized by the clustering of hyperglycemia, hypertension, hypertriglyceridemia, low high-density lipoprotein cholesterol levels and central adiposity. Altitude has been proposed as a protective factor to prevent the development of MetS and its components.Aim: To determine whether living at geographical elevation is associated with MetS and its individual components after adjustment for potential confounders in an Ecuadoran population.Methods: The study included 260 Ecuadoran university graduates over 20 years of age, from the coastal or the Andean Altiplano region. The altitude of residence was imputed with the postal code of each participant residence according to the data of the Ecuadoran Geophysical Institute of the National Polytechnic School. MetS was defined according to the harmonizing definition. Logistic regression models were fitted to assess the relationship between altitude level and the prevalence of MetS and its individual components. To test the internal validity, re-sampling techniques were used (1,000 bootstrap samples).Results: Living at high altitude was associated with less hypercholesterolemia (OR = 0.24; p < 0.001), hyperglycemia (OR = 0.25; p < 0.05) and MetS (OR = 0.24; p < 0.05), after adjusting for potential confounders. At high altitude the bootstrapped logistic regression models showed lower prevalence of hypercholesterolemia (OR = 0.30; p < 0.05), hyperglycemia (OR = 0.22; p < 0.001) and MetS (OR = 0.28; p < 0.05). The MetS score (0-5 points) showed a reduction in the number of MetS components at high altitude compared to sea level (B = −0.34; p = 0.002). A statistically significant lower self-reported energy intake was found in high altitude compared to sea level after adjustment for potential confounders (p < 0.001).Conclusion: In the present study concerning a small Ecuadoran population composed of highly educated adults living at the coast and the Andean Altiplano, living at high altitude (2,758–2,787 m) was associated with a lower prevalence of MetS, hypercholesterolemia and hyperglycemia, compared to the participants at sea level (4–6 m). In addition, an inverse association between altitude and self-reported energy intake was found after adjusting for covariates, suggesting a physiological role of appetite at high altitude even in acclimated subjects.