The effects of Health Life Gymnastics on Blood Pressure, hs-CRP Concentration and Metabolic Syndrome Risk Factors in Older Women with Hypertension

2010 ◽  
Vol 42 ◽  
pp. 985-994
Author(s):  
Sang Kab Park ◽  
Yoo Chan Kwon ◽  
Eun Hee Kim ◽  
Jin Kee Park ◽  
Jae Hee Jang
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Older Women ◽  
Hs Crp

Abstract P237: Improved Cardio-metabolic Risk Profile through Targeted Life Style Modification Program

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Sankalp Das ◽  
Maribeth Rouseff ◽  
Thinh H Tran ◽  
Khurram Nasir ◽  
Josette Bou-Khalil ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Life Style ◽  
Metabolic Risk Factors ◽  
Metabolic Risk ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Hs Crp

Introduction: Workplace wellness programs are part of the American Heart Association’s (AHA) strategy at improving cardiovascular health. Data suggest that most cost and risk borne by employers is with metabolic syndrome (MS). The current study aimed to ascertain the primary to short-term (12 weeks) efficacy of a lifestyle intervention improvement program (My Unlimited Potential (myUP), among employees of a health care system in improving metabolic status as well as associated degree of vascular inflammation as measured by high sensitivity C-reactive protein (hs-CRP). Methods: The MyUP enrolled high risk individuals with at least 2 of the following cardio-metabolic risk factors, total cholesterol ≥ 200 mg/dl, systolic blood pressure ≥ 140 mmHg or diastolic blood pressure ≥ 90 mmHg, hemoglobin A1C ≥ 6.5%, and body mass index (BMI) ≥ 30. Improvement in cardio-metabolic risk was assessed by the change in number of metabolic risk components and C-reactive protein (CRP) from baseline to 12 week follow-up. Results: Overall 203 (48±10 years, 78% females) employees were enrolled. The retention of subjects was high with 89% (n=181) of subjects following up at 12 weeks. There were significant changes in the distribution of the number of components of the metabolic syndrome from baseline to 12 weeks follow up, see figure 1. Overall only 25% met criteria for MS at 12 week as compared to 48% at baseline. There were changes in the overall median hsCRP at 12 weeks follow-up compared to baseline, 3.6(1.8-7.9) vs. 4.4(2.0-8.4). We also noticed improvement in median hs-CRP levels across the categories of improving metabolic risk factors. Among individuals who had improvement in 1-2 MS risk factors, the median hsCRP at follow-up compared to baseline was 4.6(2.2-8.8) vs. 5.2(2.7-8.9) p=0.6090 and those with improvements in >2 MS components it was 3.3(2.5-5.3) vs. 5.0(3.5-7.14) p=0.1614. Conclusion: Measurable cardio-metabolic risk reduction was achieved, benefiting participant of a targeted Life style modification intervention program.

scholarly journals Early vascular aging risk assessment in patients with metabolic syndrome

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
A Salasyuk ◽  
S Nedogoda ◽  
I Barykina ◽  
V Lutova ◽  
E Popova
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Risk Assessment ◽  
Metabolic Syndrome ◽  
Vascular Aging ◽  
Clinical Markers ◽  
Cvd Risk ◽  
Vascular Age

Abstract Background Metabolic syndrome (MetS) and abdominal obesity are one of the most common CVD risk factors among young and mature patients. However, the currently used CVD risk assessment scales may underestimate the CV risk in people with obesity and MS. Early vascular aging rather than chronological aging can conceptually offer better risk prediction. MetS, as accumulation of classical risk factors, leads to acceleration of early vascular aging. Since an important feature of MetS is its reversibility, an adequate risk assessment and early start of therapy is important in relation to the possibilities of preventing related complications. Purpose To derive a new score for calculation vascular age and predicting EVA in patients with MetS. Methods Prospective open cohort study using routinely collected data from general practice. The derivation cohort consisted of 1000 patients, aged 35–80 years with MetS (IDF,2005 criteria). The validation cohort consisted of 484 patients with MetS and carotid-femoral pulse wave velocity (cfPWV) values exceeding expected for average age values by 2 or more SD (EVA syndrome). Results In univariate analysis, EVA was significantly correlated with the presence of type 2 diabetes and clinical markers of insulin resistance (IR), body mass index (BMI), metabolic syndrome severity score (MetS z-score), uric acid (UA) level, hsCRP, HOMA-IR, total cholesterol (TC), triglycerides (TG), heart rate (HR), central aortic blood pressure (CBP), diastolic blood pressure (DBP). Multiple logistic regression shown, that presence of type 2 diabetes and IR were associated with greater risk of EVA; the odds ratios were 2.75 (95% CI: 2.34, 3.35) and 1.57 (95% CI: 1.16, 2.00), respectively. In addition, the risk of having EVA increased by 76% with an increase in HOMA-IR by 1 unit, by 17% with an increase in hsCRP by 1 mg/l, by 4% with an increase in DBP by 1 mm Hg, and by 1% with each 1 μmol / L increase in the level of UA. The area under the curve for predicting EVA in patients with MetS was 0,949 (95% CI 0,936 to 0,963), 0,630 (95% CI 0,589 to 0,671), 0,697 (95% CI 0,659 to 0,736) and 0,686 (95% CI 0,647 to 0,726), for vascular age, calculated from cfPWV, SCORE scale, QRISK-3 scale and Framingham scale, respectively. Diabetes mellitus and clinical markers of IR (yes/no), HOMA-IR and UA level were used to develop a new VAmets score for EVA prediction providing a total accuracy of 0.830 (95% CI 0,799 to 0,860). Conclusion cfPWV at present the most widely studied index of arterial stiffness, fulfills most of the stringent criteria for a clinically useful biomarker of EVA in patients with MetS. Although, parallel efforts for effective integration simple clinical score into clinical practice have been offered. Our score (VAmets) may accurately identify patients with MetS and EVA on the basis of widely available clinical variables and classic cardiovascular risk factors can prioritize using of vascular age in routine care. ROC-curves for predicting EVA in MetS Funding Acknowledgement Type of funding source: None

Investigation of the prevalence of cardiovascular risk factors in obese patients diagnosed with metabolic syndrome in childhood and examination of left ventricular function by echocardiography

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Güzin Özden ◽  
Ayşe Esin Kibar Gül ◽  
Eda Mengen ◽  
Ahmet Ucaktürk ◽  
Hazım Alper Gürsu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Left Ventricular ◽  
Atherogenic Index ◽  
Volume Index ◽  
Common Component

Abstract Objectives The objective of this study is to investigate the cardiovascular risk factors associated with metabolic syndrome (MetS), which is increasingly becoming prevalent in childhood obesity. Methods A total of 113 patients, 76 of whom were between the ages of 10 and 17 (mean age: 14.5 ± 1.8 years) and diagnosed with obesity (30 non-MetS and 46 MetS using IDF) and 37 of whom constituted the control group, participated in the study. Echocardiographic examination and atherogenicity parameters (Atherogenic index of plasma [AIP: logTG/HDL], total cholesterol/HDL, and TG/HDL ratio and non-HDL) were evaluated. Results The most common component accompanying obese MetS was found to be hypertension and low HDL. While obesity duration, body mass index (BMI), blood pressure, fasting insulin, insulin resistance, atherogenicity parameters were determined to be significantly higher in the obese-MetS group. Echocardiography showed that while the thickness, volume, and diameter of LV end-diastolic wall, left ventricular mass (LVM), LVM index (LVMI g/m2) and relative wall thickness (RWT) were significantly high in the MetS group, however, mitral E/A ratio was significantly lower (p<0.05). Change in LV geometry consistent with concentric remodeling (increased RWT, normal LVMI) was visible in obese groups. LVM were positively significantly related to BMI, waist circumference, insulin resistance, blood pressure, LDL level, and negative to mitral E/A ratio. In the obese-MetS group, LVMI was positively correlated to office systolic BP, left atrium end-diastolic volume/index. Conclusions LVMI and atherogenicity parameters that were found to be significantly higher in obese MetS exhibit increased cardiovascular risk in childhood.

Association between Patients with Metabolic Syndrome and Other Various Factors Defining Metabolic Syndrome: A Cross-Sectional Study

2021 ◽  
Vol 8 (4) ◽  
pp. 12-17
Author(s):  
Basavaraj PG ◽  
Ashok P Yenkanchi ◽  
Chidanand Galagali
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Cardiovascular Diseases ◽  
Abdominal Obesity ◽  
Positive History ◽  
The Metabolic Syndrome ◽  
Study Results ◽  
History Of ◽  
The Mean

Background: Risk factors can lead to clinical conditions, like metabolic syndrome, that predisposes the development of cardiovascular diseases. Objective: The goal of this population-based, prospective and non-randomised cohort study was to study the association between patients with metabolic syndrome and other various factors defining metabolic syndrome. Methods: All the patients referred to the department of Medicine, Al-Ameen Medical college hospital and District Hospital, Vijayapur, Karnataka, India over a period of twenty-two months extending from December 2013 to September 2015 were considered in this study. Results: In the current study, out of 100 patients, 62.9% patients had metabolic syndrome with positive family history of hypertension, diabetes mellitus. 70.8% patients had metabolic syndrome with positive history of smoking. 64.3% patients had metabolic syndrome with positive history of alcohol .73.9% patients had metabolic syndrome with positive history of IHD. 87% of the patients with metabolic syndrome had SBP> 130 mmHg, and 78.85% patients had DBP>85 mmHg. And metabolic syndrome was observed in 71.8% patients on anti hypertensive drugs. The mean level of total cholesterol, LDL cholesterol, triglyceride is increased whereas the mean level of anti-atherogenic HDL cholesterol is low in subjects with MS. At least one lipid abnormality was present in > 95 % of cases. Around 81% subjects with BMI <25 (out of 38) had metabolic syndrome and 58% subjects with BMI>25(out of 62) had metabolic syndrome. Conclusion: All the components defining the metabolic syndrome correlated positively with the abdominal obesity. Systolic blood pressure values were significantly higher than diastolic blood pressure in subjects with abdominal obesity. Metabolic syndrome has multiple risk factors determined by various aspects like the race, the life style, geographical factors larger study is needed to understand the correlation between various components defining it. A healthy lifestyle, that includes avoiding tobacco exposure and proper weight control, must be encouraged in this high-risk population. Keywords: Cardiovascular diseases; Overweight; Risk factors; Smoking.

Management of non-conventional risk factors

2020 ◽  
pp. 111-116
Author(s):  
Roberto Pedretti
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Chronic Kidney Disease ◽  
High Sensitivity ◽  
Controlled Trials ◽  
Reactive Protein ◽  
Prognostic Implications ◽  
Hs Crp ◽  
Worse Prognosis ◽  
Conventional Risk Factors

Evidence supports the association of some non-conventional or yet to be established risk factors (RFs), such as serum uric acid (UA) or high-sensitivity C-reactive protein (hs-CRP), with the risk of arterial hypertension (HTN), metabolic syndrome, and chronic kidney disease and a worse prognosis in patients with known coronary vascular disease (CVD). However, there is no evidence from randomized controlled trials to support their use in guiding therapy. In the secondary prevention setting, detection of peripheral vascular damage and kidney dysfunction may provide significant additional prognostic implications.

scholarly journals Wuqinxi Qigong as an Alternative Exercise for Improving Risk Factors Associated with Metabolic Syndrome: A Meta-Analysis of Randomized Controlled Trials

2019 ◽  
Vol 16 (8) ◽  
pp. 1396 ◽  
Author(s):  
Liye Zou ◽  
Yangjie Zhang ◽  
Jeffer Eidi Sasaki ◽  
Albert S. Yeung ◽  
Lin Yang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Randomized Controlled Trials ◽  
Disease Risk ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Controlled Trials ◽  
Positive Effects ◽  
Randomized Controlled

Background: The improvement of living standards has led to increases in the prevalence of hypokinetic diseases. In particular, multifactorial complex diseases, such as metabolic syndrome, are becoming more prevalent. Currently, developing effective methods to combat or prevent metabolic syndrome is of critical public health importance. Thus, we conducted a systematic review to evaluate the existing literature regarding the effects of Wuqinxi exercise on reducing risk factors related to metabolic syndrome. Methods: Both English- and Chinese-language databases were searched for randomized controlled trials investigating the effects of Wuqinxi on these outcomes. Meanwhile, we extracted usable data for computing pooled effect size estimates, along with the random-effects model. Results: The synthesized results showed positive effects of Wuqinxi exercise on systolic blood pressure (SBP, SMD = 0.62, 95% CI 0.38 to 0.85, p < 0.001, I2 = 24.06%), diastolic blood pressure (DBP, SMD = 0.62, 95% CI 0.22 to 1.00, p < 0.001, I2 = 61.28%), total plasma cholesterol (TC, SMD = 0.88, 95% CI 0.41 to 1.36, p < 0.001, I2 = 78.71%), triglyceride (TG, SMD = 0.87, 95% CI 0.49 to 1.24, p < 0.001, I2 = 67.22%), low-density lipoprotein cholesterol (LDL-C, SMD = 1.24, 95% CI 0.76 to 1.72, p < 0.001, I2 = 78.27%), and high-density lipoprotein cholesterol (HDL, SMD = 0.95, 95% CI 0.43 to 1.46, p < 0.001, I2 = 82.27%). In addition, regression results showed that longer-duration Wuqinxi intervention significantly improved DBP (β = 0.00016, Q = 5.72, df = 1, p = 0.02), TC (β = −0.00010, Q = 9.03, df = 1, p = 0.01), TG (β = 0.00012, Q = 6.23, df = 1, p = 0.01), and LDL (β = 0.00011, Q = 5.52, df = 1, p = 0.02). Conclusions: Wuqinxi may be an effective intervention to alleviate the cardiovascular disease risk factors of metabolic syndrome.

scholarly journals The metabolic syndrome – What is it and how should it be managed?

2019 ◽  
Vol 26 (2_suppl) ◽  
pp. 33-46 ◽  
Author(s):  
Peter M Nilsson ◽  
Jaakko Tuomilehto ◽  
Lars Rydén
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Waist Circumference ◽  
Elevated Blood Pressure ◽  
Elevated Blood ◽  
Successful Management ◽  
Unhealthy Lifestyle ◽  
The Metabolic Syndrome ◽  
Frail Elderly People

A cluster of metabolic factors have been merged into an entity named the metabolic syndrome. Although the characteristics of this syndrome have varied over time the presently used definition was established in 2009. The presence of three abnormal findings out of five components qualifies a person for the metabolic syndrome: elevated waist circumference, elevated triglycerides, reduced high-density lipoprotein cholesterol, elevated blood pressure and elevated fasting plasma glucose. Cut points have been defined for all components apart from waist circumference, for which national or regional values are used. The metabolic syndrome predicts cardiovascular disease and type 2 diabetes. This associated risk does not exceed its components whereof elevated blood pressure is the most frequent. A successful management should, however, address all factors involved. The management is always based on healthy lifestyle choices but has not infrequently to be supported by pharmacological treatment, especially blood pressure lowering drugs. The metabolic syndrome is a useful example of the importance of multiple targets for preventive interventions. To be successful management has to be individualized not the least when it comes to pharmacological therapy. Frail elderly people should not be over-treated. Knowledge transfer of how risk factors act should be accompanied by continuous trust building and motivation. In complex situations with a mix of biological risk factors, adverse social conditions and unhealthy lifestyle, everything cannot be changed at once. It is better to aim for small steps that are lasting than large, unsustainable steps with relapses to unhealthy behaviours. A person with the metabolic syndrome will always be afflicted by its components, which is the reason that management has to be sustained over a very long time. This review summarizes the knowledge on the metabolic syndrome and its management according to present state of the art.

scholarly journals Association between Parent’s Metabolic Syndrome and 12- to18-Year-Old Offspring’s Overweight: Results from the Korea National Health and Nutrition Examination Survey (K-NHANES) 2009–2016

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Na Yeong Lee ◽  
Kyungdo Han ◽  
Yoonji Lee ◽  
Seulki Kim ◽  
Seonhwa Lee ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Diastolic Blood Pressure ◽  
Central Obesity ◽  
Metabolic Risk Factors ◽  
Metabolic Risk ◽  
Nutrition Examination Survey ◽  
Health And Nutrition ◽  
Age And Sex

Background. Little information is available on the association between parents’ metabolic syndrome (MetS) and adolescent offspring’s obesity in Korea. The aim of our study is to determine the association between parent’s metabolic syndrome and offspring’s obesity. Methods. The study data were obtained from the Korean National Health and Nutrition Examination Survey conducted during 2009–2016. In the present study, 3140 adolescents aged 12 to 18 years, their paternal pairs (PP, fathers = 2244), and maternal pairs (MP, mothers = 3022) were analyzed. Of these 3140 adolescents, 2637 had normal weight {age- and sex-specific body mass index (BMI) under the 85th percentile}, whereas 467 were overweight (age- and sex-specific BMI over the 85th percentile). Results. Offspring’s overweight and central obesity were associated with all components of the PP’s metabolic risk factors, including central obesity ( p < 0.001 ), systolic ( p < 0.001 ) and diastolic blood pressure ( p < 0.001 ), glucose intolerance ( p < 0.001 ), and triglyceride ( p < 0.002 ) and high-density lipoprotein levels ( p = 0.049 ). In addition, offspring’s overweight and central obesity were also associated with the metabolic risk factors of MP, including central obesity ( p < 0.001 ), systolic ( p < 0.001 ) and diastolic blood pressure ( p < 0.001 ), glucose intolerance ( p < 0.001 ), and triglyceride levels ( p < 0.001 ). In multivariate logistic regression analysis, offspring’s overweight was significantly and positively associated with parental central obesity (PP, adjusted odds ratio (OR) = 1.593; 95% confidence interval (CI): 1.192–2.128; MP, adjusted OR = 2.221, 95% CI: 1.755–2.812) and parental metabolic syndrome (PP, adjusted OR = 2.032; 95% CI: 1.451–2.846; MP, adjusted OR = 2.972, 95% CI: 2.239–3.964). As the number of parental metabolic risk factors increased, offspring’s risk for overweight and central obesity increased ( p for trends < 0.001). Conclusion. Parental metabolic syndrome was associated with obesity in 12- to 18-year-old offspring in Korea.

scholarly journals Association of Testosterone, Insulin-Like Growth Factor-I, and C-Reactive Protein with Metabolic Syndrome in Chinese Middle-Aged Men with a Family History of Type 2 Diabetes

2005 ◽  
Vol 90 (12) ◽  
pp. 6418-6423 ◽  
Author(s):  
Peter C. Y. Tong ◽  
Chung-Shun Ho ◽  
Vincent T. F. Yeung ◽  
Maggie C. Y. Ng ◽  
Wing-Yee So ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Family History ◽  
Total Testosterone ◽  
C Reactive Protein ◽  
Middle Aged ◽  
Reactive Protein ◽  
Igf I ◽  
History Of ◽  
Hs Crp

Context: Age-related declines in testosterone and IGF-I are associated with deposition of visceral fat, a component of the metabolic syndrome (MES). Objective: Testosterone and IGF-I may interact with familial disposition to diabetes mellitus to increase the association with MES. Design: We conducted a cross-sectional cohort study. Setting: The study was conducted in a university teaching hospital. Subjects: Study subjects included 179 middle-aged men with a family history of diabetes (FH) (aged 39.1 ± 8.1 yr) and 128 men without FH (aged 43.8 ± 8.5 yr). Main Outcome Measures: Clinical characteristics, frequency of MES using the World Health Organization criteria with Asian definitions of obesity (body mass index ≥ 25 kg/m2), and serum levels of total testosterone, IGF-I, and high-sensitive C-reactive protein (hs-CRP) were measured. Results: Men with FH had higher frequency of MES than those without FH [39.1 vs. 23.4% (P = 0.004)]. On multivariate analysis, smoking (former and current smokers), low total testosterone, and IGF-I but elevated hs-CRP levels explained 35% of the MES variance in men with FH. The frequency of MES increased with declining tertiles of total testosterone and IGF-I but increasing tertiles of hs-CRP. After adjustment for age and smoking history, subjects with all three risk factors had a 13-fold increase in risk association with MES compared with those without hormonal and inflammatory risk factors. These risk associations were not found in men without FH in whom only smoking (ex and current) and low total testosterone level were independent predictors for MES, which explained 14% of the variance. Conclusions: Clustering of FH, hormonal abnormalities, and high hs-CRP is associated with MES in Chinese middle-aged men.

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