scholarly journals Low weight at birth can be an indicative in childhood as a marker of metabolic syndrome and hypertension

2021 ◽  
Vol 5 (6) ◽  
pp. 245-245
Author(s):  
Abel Pereira ◽  
Anita LR Saldanha ◽  
Ana Paula Pantoja Margeotto ◽  
Tereza Luiza Bellincanta ◽  
André LV Gasparoto ◽  
...  

As low weight at birth can be a marker for future risk factors for cardiovascular diseases, public school children who had this positive history were studied S to nutritional status, lipids, glucose, uric acid, blood pressure and socioeconomic conditions. The main interest of the investigation is to find statistically significant correlations among data collected from young public school children from a city outside of the capital of Sao Paulo in Brazil. Results: risk factors for metabolic syndrome presented higher impact considering blood pressure and socioeconomic conditions, calling for better prenatal care and surveillance plus intervention in the low weight at birth children.

2021 ◽  
Vol 8 (4) ◽  
pp. 12-17
Author(s):  
Basavaraj PG ◽  
Ashok P Yenkanchi ◽  
Chidanand Galagali

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.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
A Salasyuk ◽  
S Nedogoda ◽  
I Barykina ◽  
V Lutova ◽  
E Popova

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


Author(s):  
Güzin Özden ◽  
Ayşe Esin Kibar Gül ◽  
Eda Mengen ◽  
Ahmet Ucaktürk ◽  
Hazım Alper Gürsu ◽  
...  

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.


Author(s):  
Liye Zou ◽  
Yangjie Zhang ◽  
Jeffer Eidi Sasaki ◽  
Albert S. Yeung ◽  
Lin Yang ◽  
...  

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.


2019 ◽  
Vol 26 (2_suppl) ◽  
pp. 33-46 ◽  
Author(s):  
Peter M Nilsson ◽  
Jaakko Tuomilehto ◽  
Lars Rydén

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.


2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Na Yeong Lee ◽  
Kyungdo Han ◽  
Yoonji Lee ◽  
Seulki Kim ◽  
Seonhwa Lee ◽  
...  

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.


2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Heather A. LaGuardia ◽  
L. Lee Hamm ◽  
Jing Chen

Metabolic syndrome is characterized by a clustering of cardiovascular risk factors, including abdominal obesity, elevated blood pressure and glucose concentrations, and dyslipidemia. The presence of this clinical entity is becoming more pervasive throughout the globe as the prevalence of obesity increases worldwide. Moreover, there is increased recognition of the complications and mortality related to this syndrome. This paper looks to examine the link between metabolic syndrome and the development of chronic kidney disease.


Vascular ◽  
2012 ◽  
Vol 20 (3) ◽  
pp. 156-165 ◽  
Author(s):  
Daynene Vykoukal ◽  
Mark G Davies

Metabolic syndrome is highly prevalent in vascular patients and has a significant impact on the outcomes of vascular interventions. It comprises of a set of metabolically driven risk factors, including truncal obesity, dyslipidemia, elevated blood pressure and elevated fasting blood glucose. Increased insulin resistance within the context of obesity and hypertension contributes to atherogenic dyslipidemia, hyperglycemia, and prothrombotic and proinflammatory states which lead to the adverse impact of metabolic syndrome on the response to injury and on atherosclerotic disease progression. This review focuses on the complex biology of metabolic syndrome and its relevance to management of vascular patients, including outcomes and implications for the coronary, cerebrovascular and lower-extremity vascular beds.


2013 ◽  
Vol 30 (1) ◽  
pp. 21-30
Author(s):  
Veroslava Stanković ◽  
Svetlana Stojanović ◽  
Nađa Vasiljević

Summary People with metabolic syndrome (MetSy) are about twice as likely to develop cardiovascular disease and over four times as likely to develop type 2 diabetes compared to subjects without metabolic syndrome. Waist circumferences (WC) and body mass index (BMI) are useful screening tools for making the diagnosis. MetSy has increased the health risk in primary care. The aim of the study was to evaluate the anthropometric indices for MetSy and determine which of simple anthropometric measurements is most closely associated with metabolic risk factors. The research included 264 individuals, of which 132 men with mean age (±SD) of 44.73 ±9.37 years and 132 women with mean age (±SD) of 46.67±8.44 years. Antropometric indicators were measured using standard protocols, without shoes and outerwear. BMI was calculated as weight/height2(kg/m2) ratio, as recommended by the World Health Organization (WHO). Blood pressure measurements were obtained with the subject in a seated position by using a standard mercury sphygmomanometer. Blood samples were obtained after a minimum of 12-h fast; the metabolic parameters (high-density lipoprotein-cholesterol, low-density lipoprotein-cholesterol, triglycerides, blood glucose) were analyzed by standard procedures. Analysis of the examinees’ medical records was also performed. Metabolic syndrome was diagnosed using the International Diabetes Federation (IDF) criteria. The analysis of the research results were performed using the Statistical Package for Social Science version 10.0 (SPSS 10.0 for Windows). The prevalence of the metabolic syndrome was 44.7% in men and 43.2% in women. Normal-weight subjects of both sexes were significantly younger and had significantly lower blood glucose, total cholesterol, LDL and triglycerides than overweight and obese subjects. Systolic and diastolic blood pressure values were significantly increased in parallel with increasing of BMI. For the whole sample, both anthropometric indices had significant associations with the other five components of MetSy. Waist circumference is a simple measure of adiposity most strongly associated with metabolic abnormalities. The results obtained in this study indicate that WC is a good indicator of health risk in women but not in men. Measurement of WC by BMI categories may indicate a person with an increased risk of development of chronic diseases.


2018 ◽  
Vol 5 (4) ◽  
pp. 1261
Author(s):  
R. V. Baradol ◽  
Purushotham D. R.

Background: Hypertension is one of the most common diseases worldwide. Early diagnosis of Hypertension is an important strategy in its control. The purpose of this study was to determine the prevalence of hypertension and risk factors among school going children and to find its relationship with regard to age, sex, height, weight and BMI criteria and comparing the values with available standards.Methods: It is a prospective cross-sectional study done in the age group of 10 to 16 years. Children were selected from urban and rural areas in and around Mysore city. Blood pressure measurements were taken by mercury Sphygmomanometer as per recommendation of American Heart Association. Three readings of blood pressure were recorded for each subject and were correlated with age, gender and anthropometry. All the statistical operations were done through SPSS.Results: The present study was conducted amongst children in the age group of 10-16 years in rural and urban schools. A total of 2000 children were included in the study. BP measurements of 1000 subjects in three urban school children and 1000 school children in one rural school children in Mysuru district were done. In rural school children prevalence of systolic hypertension was 2.8% in males and 0.9% in females. In urban school children prevalence of systolic hypertension was 2.1% in males and 1.2% in females.Conclusions: Blood pressure measurement in children is pivotal in clinical examination. Periodic measurement of blood pressure would identify hypertension at an early age. Further studies are needed to know the exact prevalence of hypertension and long term follow up studies are required to know the effect and risk factors associated in children with sustained hypertension.


Sign in / Sign up

Export Citation Format

Share Document