scholarly journals Assessment of cardiometabolic risk factors in various phenotypes of masked hypertension

2020 ◽  
Vol 19 (4) ◽  
pp. 2422
Author(s):  
B. I. Geltser ◽  
V. V. Orlova-Ilinskaya ◽  
O. O. Vetrova ◽  
V. N. Kotelnikov ◽  
R. S. Karpov
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Odds Ratio ◽  
Cardiometabolic Risk ◽  
Blood Pressure Monitoring ◽  
Density Lipoprotein ◽  
Visceral Adiposity ◽  
Cardiometabolic Risk Factors ◽  
Visceral Adiposity Index ◽  
Masked Hypertension

Aim. To assess the relationship of cardiometabolic risk factors in patients with various phenotypes of masked hypertension (MH).Material and methods. The study included 207 men with a median age of 34,6 years [32,3; 36,3] being systematically stressed. All examined patients had normal clinical blood pressure (BP), and there was no history of its increase. We conducted 24-hour ambulatory blood pressure monitoring (ABPM), carotid duplex scan with determination of the intima- media thickness (IMT). The levels of total cholesterol (TC), low (LDLC) and high-density lipoprotein cholesterol (HDL-C), triglycerides (TG) were determined. Body mass index, visceral adiposity index, lipid accumulation product index and waist-to-height ratio were calculated. We performed clustering of ABPM data, calculated the odds ratio of association between cardiometabolic risk factors and certain MH phenotypes.Results. MH was diagnosed in 142 (68,6%) patients examined, divided into 3 clusters: systolic-diastolic — SDMH (50,7%), isolated systolic — ISMH (27,5%) and isolated diastolic — IDMH (21,8%). Impaired lipid metabolism, visceral adiposity, IMT increase and atherosclerotic plaques were more often recorded in patients with SDMH and IDMH. The levels of TC, LDL-C and IMT were highest in individuals with IDMH. Odds ratio analysis indicated significant associations of SDMH and IDMH phenotypes with indicators of visceral adiposity, IMT, TG, TC, LDL-C and TG/HDL-Cl.Conclusion. Clustering of ABPM data in individuals with MH and comparing related phenotypes with cardiometabolic risk factors complements their clinical and functional characteristics and can be a useful tool for improving customized prevention and therapy programs.

scholarly journals Relationship Between Meeting 24-Hour Movement Guidelines and Cardiometabolic Risk Factors in Children

2017 ◽  
Vol 14 (10) ◽  
pp. 779-784 ◽  
Author(s):  
Peter T. Katzmarzyk ◽  
Amanda E. Staiano
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
Adipose Tissue ◽  
Subcutaneous Adipose Tissue ◽  
Cardiometabolic Risk ◽  
Vigorous Physical Activity ◽  
Density Lipoprotein ◽  
Cardiometabolic Risk Factors ◽  
Subcutaneous Adipose

Background:The purpose of this study was to evaluate the relationship between adherence to pediatric 24-hour movement guidelines (moderate to vigorous physical activity, sedentary behavior, and sleep) and cardiometabolic risk factors.Methods:The sample included 357 white and African American children aged 5–18 years. Physical activity, television viewing, and sleep duration were measured using questionnaires, and the 24-hour movement guidelines were defined as ≥60 minutes per day of moderate to vigorous physical activity on ≥5 days per week, ≤ 2 hours per day of television, and sleeping 9–11 hours per night (ages 5–13 y) or 8–10 hours per night (ages 14–18 y). Waist circumference, body fat, abdominal visceral and subcutaneous adipose tissue, blood pressure, fasting triglycerides, high-density lipoprotein cholesterol, and glucose were measured in a clinical setting.Results:A total of 26.9% of the sample met none of the guidelines, whereas 36.4%, 28.3%, and 8.4% of the sample met 1, 2, or all 3 guidelines, respectively. There were significant associations between the number of guidelines met and body mass index, visceral and subcutaneous adipose tissue, triglycerides, and glucose. There were no associations with blood pressure or high-density lipoprotein cholesterol.Conclusions:Meeting more components of the 24-hour movement guidelines was associated with lower levels of obesity and several cardiometabolic risk factors. Future efforts should consider novel strategies to simultaneously improve physical activity, sedentary time, and sleep in children.

scholarly journals Factorial Analysis of the Cardiometabolic Risk Influence on Redox Status Components in Adult Population

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Aleksandra Klisic ◽  
Nebojsa Kavaric ◽  
Sanja Vujcic ◽  
Vesna Spasojevic-Kalimanovska ◽  
Jelena Kotur-Stevuljevic ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiometabolic Risk ◽  
Adult Population ◽  
Density Lipoprotein ◽  
Principal Component ◽  
Cardiometabolic Risk Factors ◽  
Binary Logistic Regression Analysis ◽  
Visceral Adiposity Index ◽  
Related Factor ◽  
Compensatory Mechanism

Different byproducts of oxidative stress do not always lead to the same conclusion regarding its relationship with cardiometabolic risk, since controversial results are reported so far. The aim of the current study was to examine prooxidant determinant ((prooxidant-antioxidant balance (PAB)) and the marker of antioxidant defence capacity (total sulphydryl groups (tSHG)), as well as their ratio (PAB/tSHG) in relation to different cardiometabolic risk factors in the cohort of adult population. Additionally, we aimed to examine the joint effect of various cardiometabolic parameters on these markers, since to our knowledge, there are no studies that investigated that issue. A total of 292 participants underwent anthropometric measurements and venipuncture procedure for cardiometabolic risk factors assessment. Waist-to-height ratio (WHtR), body mass index, visceral adiposity index (VAI), and lipid accumulation product (LAP) were calculated. Principal component analysis (PCA) grouped various cardiometabolic risk parameters into different factors. This analysis was used in the subsequent binary logistic regression analysis to estimate the predictive potency of the factors towards the highest PAB and tSHG values. Our results show that triglycerides, VAI, and LAP were positively and high density lipoprotein cholesterol (HDL-c) were negatively correlated with tSHG levels and vice versa with PAB/tSHG index, respectively. On the contrary, there were no independent correlations between each cardiometabolic risk factor and PAB. PCA revealed that obesity-renal function-related factor (i.e., higher WHtR, but lower urea and creatinine) predicts both high PAB ( OR = 1.617 , 95% CI (1.204-2.171), P < 0.01 ) and low tSHG values ( OR = 0.443 , 95% CI (0.317-0.618), P < 0.001 ), while obesity-dyslipidemia-related factor (i.e., lower HDL-c and higher triglycerides, VAI, and LAP) predicts high tSHG values ( OR = 2.433 , 95% CI (1.660-3.566), P < 0.001 ). In conclusion, unfavorable cardiometabolic profile was associated with higher tSHG values. Further studies are needed to examine whether increased antioxidative capacity might be regarded as a compensatory mechanism due to free radicals’ harmful effects.

scholarly journals 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

2019 ◽  
Vol 7 (1) ◽  
pp. e000787 ◽  
Author(s):  
Rianneke de Ritter ◽  
Simone J S Sep ◽  
Carla J H van der Kallen ◽  
Miranda T Schram ◽  
Annemarie Koster ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Pressure Difference ◽  
Cardiometabolic Risk ◽  
Density Lipoprotein ◽  
Hdl Cholesterol ◽  
Cardiometabolic Risk Factors ◽  
Blood Pressure Difference

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 diabetes onset.Research design and methodsIn a population-based cohort study of individuals aged 40-75 years (n=3410; 49% women, 29% type 2 diabetes (oversampled by design)), we estimated associations with cardiometabolic and lifestyle risk factors of (1) pre-diabetes and type 2 diabetes (reference category: normal glucose metabolism) and (2) among non-diabetic individuals, of continuous levels of hemoglobin A1c (HbA1c). Age-adjusted sex differences were analyzed using linear and logistic regression models with sex interaction terms.ResultsIn pre-diabetes, adverse differences in cardiometabolic risk factors were greater in women than men for systolic blood pressure (difference, 3.02 mm Hg; 95% CI:−0.26 to 6.30), high-density lipoprotein (HDL) cholesterol (difference, −0.10 mmol/L; 95% CI: −0.18 to −0.02), total-to-HDL cholesterol ratio (difference, 0.22; 95% CI: −0.01 to 0.44), triglycerides (ratio: 1.11; 95% CI: 1.01 to 1.22), and inflammation markers Z-score (ratio: 1.18; 95% CI: 0.98 to 1.41). In type 2 diabetes, these sex differences were similar in direction, and of greater magnitude. Additionally, HbA1c among non-diabetic individuals was more strongly associated with several cardiometabolic risk factors in women than men: per one per cent point increase, systolic blood pressure (difference, 3.58 mm Hg; 95% CI: −0.03 to 7.19), diastolic blood pressure (difference, 2.10 mm Hg; 95% CI: −0.02 to 4.23), HDL cholesterol (difference, −0.09 mmol/L; 95% CI: −0.19 to 0.00), and low-density lipoprotein cholesterol (difference, 0.26 mmol/L; 95% CI: 0.05 to 0.47). With regard to lifestyle risk factors, no consistent pattern was observed.ConclusionOur results are consistent with the concept that the more adverse changes in cardiometabolic risk factors in women (than men) arise as a continuous process before the onset of type 2 diabetes.

scholarly journals Association between eating habits, body mass index, cardiorespiratory fitness, and cardiometabolic risk factors in children

2021 ◽  
Vol 34 ◽  
Author(s):  
Miguel Angelo dos Santos DUARTE JUNIOR ◽  
Adroaldo Cezar Araujo GAYA ◽  
Vanilson Batista LEMES ◽  
Camila Felin FOCHESATTO ◽  
Caroline BRAND ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Body Mass ◽  
Cardiorespiratory Fitness ◽  
Cardiometabolic Risk ◽  
Eating Habits ◽  
Density Lipoprotein ◽  
The Body ◽  
Cardiometabolic Risk Factors

ABSTRACT Objective To verify the multivariate relationships between eating habits, cardiorespiratory fitness, body mass index, and cardiometabolic risk factors in children. Methods This is a cross-sectional study developed in a public elementary school with 60 first- to sixth-graders. Their eating habits were assessed using the Food Frequency Survey, weight, height, and cardiorespiratory fitness, assessed according to the Projeto Esporte Brasil protocol. Moreover, the variables, high-density lipoprotein, low-density lipoprotein, glucose, insulin, C-reactive protein, adiponectin, leptin, diastolic and systolic blood pressure were evaluated. Descriptive statistics were used for data analysis and generalized estimation equations were used for the analysis of direct and indirect relations, in a multivariate analysis model with several simultaneous outcomes. Results It appears that the eating habits and cardiorespiratory fitness explain 20% of the body mass index. Cardiometabolic risk factors are explained by the relationship between eating habits, cardiorespiratory fitness, and body mass index, according to the following percentages: 29% (systolic blood pressure), 18% (diastolic blood pressure), 63% (leptin), 4% (adiponectin), 14% (C-reactive protein), 17% (insulin), 10% (high-density lipoprotein), 1% (low-density lipoprotein), 4% (glucose). It is also observed that the effects of the eating habits on cardiometabolic risk factors are indirect, that is, they are dependent on changes in the body mass index and cardiorespiratory fitness levels. Conclusions The relationship between eating habits and cardiometabolic risk factors in children is dependent on cardiorespiratory fitness and body mass index. Thus, our findings suggest a multivariate relationship between these factors.

scholarly journals Cardiometabolic risk factors predict executive function scores in high-risk individuals

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 651-651
Author(s):  
Joshua Gills ◽  
Megan Jones ◽  
Anthony Campitelli ◽  
Sally Paulson ◽  
Erica Madero ◽  
...  
Keyword(s):  
Risk Factors ◽  
Alzheimer’S Disease ◽  
Blood Pressure ◽  
Alzheimer's Disease ◽  
Executive Function ◽  
High Risk ◽  
Cardiometabolic Risk ◽  
Density Lipoprotein ◽  
Cardiometabolic Risk Factors ◽  
Walking Test

Abstract Alzheimer’s disease (AD) is expected to triple by 2050, affecting 16 million Americans. As a result, it is essential to combat this alarming increase in cognitive impairment through early detection. Cardiometabolic risk factors have shown to be associated with higher risk of AD. The purpose of this study was to determine if cardiometabolic risk factors could predict executive function scores in a high-risk population. Fifty (60.9±8.8 years) high-risk adults (classified by the Australian National University Alzheimer’s Disease Risk Index) were enrolled in this study. Participants completed a 6-minute walking test, venous blood draw, blood pressure measurement, and the digit coding symbol test (DCS). Results were examined through a multiple linear regression with DCS as the dependent variable and age, sex, total cholesterol, high-density lipoprotein (HDL), low-density lipoprotein (LDL), glucose, 6-minute walking test, systolic blood pressure (SBP), and diastolic blood pressure (DBP) as predictor variables. The model explained 42% of the variance of DCS (p = .04) with SBP (45%; p = .003) as a significant predictor. LDL (p = .087) and DBP (p = .123) accounted for 24% and 22% of the variance for this model, respectively. These results suggest cardiometabolic risk factors predict executive function values in high-risk individuals. Higher SBP was significantly associated with lower DCS scores indicating SBP as a valuable tool for practitioners when evaluating cognitive decline. Further research should expand sample size and track values longitudinally to substantiate these claims.

Speed of Movement, Fatness, and the Change in Cardiometabolic Risk Factors in Children

2021 ◽  
Author(s):  
Xianwen Shang ◽  
Yanping Li ◽  
Haiquan Xu ◽  
Qian Zhang ◽  
Ailing Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
High Density Lipoprotein ◽  
Body Fat ◽  
Risk Score ◽  
High Density Lipoprotein Cholesterol ◽  
Cardiometabolic Risk ◽  
Density Lipoprotein ◽  
Cardiometabolic Risk Factors ◽  
Percent Body Fat

AbstractWe aimed to examine speed of movement and its interactive association with fatness to changes in cardiometabolic risk factors over one year in children. The analysis included 8345 children aged 6–13 years. Cardiometabolic risk score was computed by summing Z-scores of waist circumference, the average of systolic and diastolic blood pressure, fasting glucose, high-density lipoprotein cholesterol (multiplied by −1), and triglycerides. Both high baseline and improvement in speed of movement were associated with favourable changes in percent body fat, lipids, and cardiometabolic risk score. Percentages of the association between baseline speed of movement and changes in cardiometabolic risk score, triglycerides, and high-density lipoprotein cholesterol explained by baseline BMI were 24.6% (19.6–29.1%), 26.2% (19.7–31.1%), and 12.5% (9.6–15.4%), respectively. The corresponding number for percent body fat was 47.0% (40.4–54.1%), 43.3% (36.7–51.7%), and 29.8% (25.0–34.6%), respectively. Speed of movement mediated the association between fatness and cardiometabolic risk factors. Improved speed of movement was associated with a lower increase in blood pressure in obese children only. Speed of movement is a strong predictor of changes in cardiometabolic risk factors. Fatness and speed of movement are interactively associated with cardiometabolic risk factors. Speed of movement may attenuate the positive association between fatness and blood pressure.

scholarly journals The Effects of Thylakoid-Rich Spinach Extract Combined with the Calorie-Restricted Diet on Cardiometabolic Risk Factors in Obese Women with Polycystic Ovary Syndrome: A Randomized Controlled Clinical Trial

2020 ◽  
Author(s):  
Fatemeh Pourteymour Fard Tabrizi ◽  
Mahdieh Abbasalizad Farhangi ◽  
Maryam Vaezi ◽  
Salar Hemmati
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Polycystic Ovary Syndrome ◽  
Cardiometabolic Risk ◽  
Polycystic Ovary ◽  
Density Lipoprotein ◽  
Cardiometabolic Risk Factors ◽  
Obese Women ◽  
Ovary Syndrome ◽  
Spinach Extract

Abstract Background: The polycystic ovary syndrome (PCOS) was associated with a higher risk of cardiovascular diseases, related to metabolic dysfunction, due to its peculiar hormonal pattern, dyslipidemia, and inflammatory state. This study was aimed to investigate the effects of thylakoid-rich spinach extract supplementation combined with a hypocaloric diet on cardiometabolic risk factors in obese women with PCOS. Methods: In a double-blind, placebo-controlled design, forty-eight participants (age 20–45 years) consumed in random order either a thylakoid-rich spinach extract powder (5g) or a matched placebo (5g starch), given daily combined with the hypocaloric diet for 12 weeks. The samples were collected at baseline and after the end of the supplementation. The primary outcome was the measure of anthropometric changes, glycemic indices, and lipid profile. The secondary outcomes included inflammatory status and blood pressure. Results: Thylakoid-rich spinach extract supplementation combined with the restricted-calorie diet was associated with significant reductions in abdominal obesity indicators, insulin resistance, lipid accumulation product (LAP), and diastolic blood pressure (DBP) (P< 0.05). Significant decreases were also seen in serum triglycerides (TG), insulin, high-sensitivity C-reactive protein (hs-CRP), and total testosterone compared with the placebo group (P< 0.05). However, no significant differences in systolic blood pressure (SBP) and in serum levels of total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein-cholesterol (HDL-C), and fasting blood glucose were evident between groups at the end of study ( P>0.05). Conclusions: Thylakoid-rich spinach extract supplementation combined with the calorie restriction for 12 weeks may improve the cardiometabolic risk factors in obese women with PCOS.Trial registration: The study was approved by the Ethics Committee of Research Vice-chancellor of Tabriz University of Medical Sciences, Tabriz, Iran, and was registered in the Iranian Registry of Clinical Trials (IRCT20140907019082N9).

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