scholarly journals Impact of sports participation on components of metabolic syndrome in adolescents: ABCD Growth Study 

2021 ◽  
Author(s):  
Verônica Alves Menezes ◽  
Wésley Torres ◽  
Eduardo Duarte de Lima Mesquita ◽  
Lucas Gabriel Moraes Chagas ◽  
Ana Elisa von Ah Morano ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Colorimetric Method ◽  
Sports Participation ◽  
P Value ◽  
Growth Study ◽  
Small Magnitude ◽  
The Metabolic Syndrome ◽  
The Impact ◽  
Moderate Magnitude

Abstract Objective The objective of this study was to analyze the impact of sports participation (12 months of practice) on components of the metabolic syndrome of both sexes.Methods Observational longitudinal study, party of the study entitled “Analysis of Behaviors of Children During Growth” (ABCD Growth Study), Presidente Prudente, SP. The sample consisted of 171 adolescents [112 boys and 59 girls], the groups were divided between non-sport and sport, according to the inclusion criteria: age 11 to 17 years; absence of known diseases previously diagnosed; no regular use of medications related to blood pressure or lipid metabolism; involvement in sports in the las 12 months (sports group) for at least one year without any regular involvement in sports training routines or physical exercises (non-sports group), signed written consent form parents and adolescents. The high-density cholesterol lipoproteins (HDL-c), triglycerides (TG), and glucose were analyzed by the dry chemical colorimetric method and processed biochemically. Systolic blood pressure (SBP) and diastolic blood pressure (DBP) were assessed using an automatic device. Body fat (BF) was estimated using a densitometry scanner. Ethnicity, sex, maturity, and body weight were treated as covariates.Results The adolescents involved in the sport were younger [p-value = 0.001] and with lower PVC [p-value = 0.001] than the non-sport group. The differences () after 12 months were of greater magnitude for the sports group when compared to non-sports group [p-value = 0.013], glucose (moderate magnitude in favor of the sports group; p-value = 0.001), HDL-c (small magnitude in favor of the sports group; p-value = 0.0015) and MetS (moderate magnitude in favor of the sports group; p-value = 0.001). Sport with high cardiorespiratory demand has more pronounced benefits than other groups. Sport seems to have a positive relationship in the variables sports participation, weekly volume, and load intensity. Conclusion Sports practice in adolescents had a protective effect on the metabolic components of the metabolic syndrome.

Impact of sports participation on components of metabolic syndrome in adolescents: ABCD growth study

2022 ◽  
Vol 0 (0) ◽  
Author(s):  
Veronica Alves de Menezes ◽  
Wesley Torres ◽  
Eduardo Duarte de Lima Mesquita ◽  
Lucas Gabriel de Moraes Chagas ◽  
Ana Elisa von Ah Morano ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Colorimetric Method ◽  
Sports Participation ◽  
Height Velocity ◽  
P Value ◽  
Growth Study ◽  
Small Magnitude ◽  
The Impact ◽  
Moderate Magnitude

Abstract Objectives This study aimed to analyze the impact of sports participation (12 months of practice) on the components of metabolic syndrome (MetS) in both sexes. Methods This is an observational longitudinal study, a part of which is entitled “Analysis of Behaviors of Children During Growth” (ABCD Growth Study), Presidente Prudente, São Paulo, Brazil. The sample was composed of 171 adolescents (112 boys and 59 girls), divided into non-sports and sports groups. High-density lipoprotein-cholesterol (HDL-c), triglycerides, and glucose were analyzed by the colorimetric method of dry chemistry and processed biochemically. Systolic blood pressure and diastolic blood pressure were measured using an automatic device. Body fat was estimated using a densitometry scanner. Results Adolescents who practiced sports were younger (p-value=0.001) and had a lower peak height velocity (p-value=0.001) than the non-sports group. The differences (Δ) after 12 months were of greater magnitude for the sports group when compared to the non-sports group (p-value=0.013), glucose (moderate magnitude in favor of the sports group; p-value=0.001), HDL-c (small magnitude in favor of the sports group; p-value=0.0015), and MetS (moderate magnitude in favor of the sports group; p-value=0.001). Conclusions The practice of sports in adolescents had a protective effect on the metabolic components of MetS.

scholarly journals Electronic Cigarette Use and Metabolic Syndrome Development: A Critical Review

Toxics ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 105
Author(s):  
Ilona Górna ◽  
Marta Napierala ◽  
Ewa Florek
Keyword(s):  
Insulin Resistance ◽  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Arterial Blood Pressure ◽  
Abdominal Obesity ◽  
Critical Review ◽  
Lifestyle Modifications ◽  
The Metabolic Syndrome ◽  
Arterial Blood ◽  
The Impact

The metabolic syndrome is a combination of several metabolic disorders, such as cardiovascular disease, atherosclerosis, and type 2 diabetes. Lifestyle modifications, including quitting smoking, are recommended to reduce the risk of metabolic syndrome and its associated complications. Not much research has been conducted in the field of e-cigarettes and the risk of metabolic syndrome. Furthermore, taking into account the influence of e-cigarettes vaping on the individual components of metabolic syndrome, i.e, abdominal obesity, insulin resistance, dyslipidemia and elevated arterial blood pressure, the results are also ambiguous. This article is a review and summary of existing reports on the impact of e-cigarettes on the development of metabolic syndrome as well as its individual components. A critical review for English language articles published until 30 June 2020 was made, using a PubMed (including MEDLINE), Cochrane, CINAHL Plus, and Web of Science data. The current research indicated that e-cigarettes use does not affect the development of insulin resistance, but could influence the level of glucose and pre-diabetic state development. The lipid of profile an increase in the TG level was reported, while the influence on the level of concentration of total cholesterol, LDL fraction, and HDL fraction differed. In most cases, e-cigarettes use increased the risk of developing abdominal obesity or higher arterial blood pressure. Further research is required to provide more evidence on this topic.

scholarly journals Role of Adipokines in the Association between Thyroid Hormone and Components of the Metabolic Syndrome

2019 ◽  
Vol 8 (6) ◽  
pp. 764 ◽  
Author(s):  
Alessandro P. Delitala ◽  
Angelo Scuteri ◽  
Edoardo Fiorillo ◽  
Edward G. Lakatta ◽  
David Schlessinger ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Thyroid Hormone ◽  
Regression Models ◽  
Causal Effect ◽  
Positive Association ◽  
The Metabolic Syndrome ◽  
Standardized Regression Coefficients ◽  
The Impact

Metabolic syndrome (MS) increases cardiovascular risk. The role of thyroid hormone on components of MS is unclear. We analyzed a sample of 4733 euthyroid subjects from SardiNIA study. In female thyrotropin (TSH) was significantly and positively associated with triglycerides (Standardized regression coefficients (β) = 0.081, p < 0.001). Free thyroxine (FT4) was positively associated with HDL (β = 0.056, p < 0.01), systolic blood pressure (SBP) (β = 0.059, p < 0.001), diastolic blood pressure (DBP) (β = 0.044, p < 0.01), and fasting glucose (β = 0.046, p < 0.01). Conversely, FT4 showed a negative association with waist circumference (β = −0.052, p < 0.001). In TSH was positively associated with triglycerides (β = 0.111, p < 0.001) and FT4 showed a positive association with DBP (β = 0.51, p < 0.01). The addition of leptin and adiponectin to the regression models did not substantially change the impact of thyroid hormones on components of MS. Our data suggest that, even within the euthyroid range, excess of truncal adipose tissue is associated with variations in FT4. Leptin and adiponectin exert an additive effect rather than a causal effect. Additional studies should be performed to determine the clinical significance of this finding.

METABOLIC SYNDROME IN DIALYSIS PATIENTS

2016 ◽  
pp. 7-11
Author(s):  
Vinh Phu Hoang ◽  
Tam Vo ◽  
Van Tien Le ◽  
Thi Hoai Huong Vo
Keyword(s):  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Renal Failure ◽  
Chronic Renal Failure ◽  
Artificial Kidney ◽  
Dialysis Patients ◽  
Cross Sectional ◽  
Average Value ◽  
The Metabolic Syndrome ◽  
End Stage

Objective: To review disorders elements of the metabolic syndrome in patients with end-stage chronic renal failure on dialysis cycle. Materials and methods: A cross sectional descriptive study of 85 patients including end-stage chronic renal failure in dialysis cycle from 5/2015 - 9/2016 at the Department of Artificial Kidney, Hue Central Hospital. Results: The prevalence of metabolic syndrome in dialysis patients was 37.65%. The prevalence of abdominal obesity was 30.6%; The prevalence of hypertension was 72.9%, the average value systolic blood pressure and diastolic blood pressure were 142.24 ± 27.53, 80.35 ± 12.48 mmHg; The prevalence of hyperglycemia was 28%, the average value blood glucose was 4.9 ± 1.19 mmol/l; The prevalence of triglyceride increase was 34.1%, the average value triglyceride was 1.59 ± 0.84 mmol/l. The prevalence of HDL-C increase was 47.1%, the average value HDL-C was 1.24 ± 0.33 mmol/l. Conclusion: The prevalence of metabolic syndrome in dialysis patients is very high, in which hypertension and HDL disturbances are the highest. Key words: chronic renal failure, dialysis, metabolic syndrome

scholarly journals A longitudinal study over 40 years to study the metabolic syndrome as a risk factor for cardiovascular diseases

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lars Lind ◽  
Johan Sundström ◽  
Johan Ärnlöv ◽  
Ulf Risérus ◽  
Erik Lampa
Keyword(s):  
Metabolic Syndrome ◽  
Risk Factor ◽  
Longitudinal Study ◽  
Clinical Intervention ◽  
The Elderly ◽  
Adult Men ◽  
The Metabolic Syndrome ◽  
The Impact ◽  
Over 40 Years

AbstractThe impact of most, but not all, cardiovascular risk factors decline by age. We investigated how the metabolic syndrome (MetS) was related to cardiovascular disease (CVD) during 40 years follow-up in the Uppsala Longitudinal Study of Adult Men (ULSAM, 2,123 men all aged 50 at baseline with reinvestigations at age 60, 70, 77 and 82). The strength of MetS as a risk factor of incident combined end-point of three outcomes (CVD) declined with ageing, as well as for myocardial infarction, ischemic stroke and heart failure when analysed separately. For CVD, the risk ratio declined from 2.77 (95% CI 1.90–4.05) at age 50 to 1.30 (95% CI 1.05–1.60) at age 82. In conclusion, the strength of MetS as a risk factor of incident CVD declined with age. Since MetS was significantly related to incident CVD also at old age, our findings suggest that the occurrence of MetS in the elderly should not be regarded as innocent. However, since our data were derived in an observational study, any impact of MetS in the elderly needs to be verified in a randomized clinical intervention trial.

scholarly journals Fish Consumption: A Review of Its Effects on Metabolic and Hormonal Health

2021 ◽  
Vol 14 ◽  
pp. 117863882110223
Author(s):  
Carlos O Mendivil
Keyword(s):  
Metabolic Syndrome ◽  
Fish Consumption ◽  
Dietary Habits ◽  
Positive Impact ◽  
Polycystic Ovary ◽  
Scientific Evidence ◽  
Endocrine Disorders ◽  
Omega 3 ◽  
The Metabolic Syndrome ◽  
The Impact

Dietary habits are a major determinant of the risk of chronic disease, particularly metabolic and endocrine disorders. Fish as a food group are a unique source of nutrients with metabolic and hormonal importance including omega-3 fatty acids, iodine, selenium, vitamin D, taurine and carnitine. Fish are also a source of high quality protein and have in general low caloric density. The impact of these nutrients on cardiovascular risk has been extensively reviewed, but the impact of fish on the broader field of endocrine and metabolic health is sometimes not sufficiently appreciated. This article aimed to summarize the impact the effect of regular fish consumption on conditions like the metabolic syndrome, obesity, diabetes, hypothyroidism, polycystic ovary syndrome and the menopausal transition, which are in and of themselves significant causes of morbidity and mortality worldwide. The review revealed that scientific evidence from food science, translational research, epidemiologic studies and interventional trials shows that regular fish consumption has a positive impact on thyroid homeostasis, facilitates maintenance of a healthy body weight, reduces the magnitude of age-associated increases in blood pressure, improves glucose homeostasis helping prevent diabetes and the metabolic syndrome, and has a positive impact on muscle mass preservation among the elderly. These effects are mediated by multiple mechanisms, only some of which have been identified. For most of these effects it holds true that the potential benefits are more substantial when baseline fish consumption is low.

Components Analysis of Metabolic Syndrome in Acute Myocardial Infarction Patients

2018 ◽  
Vol 29 (2) ◽  
pp. 6-10
Author(s):  
Khan MMR ◽  
Sana NK ◽  
PM Basak ◽  
BC Sarker ◽  
M Akhtarul Islam ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Acute Myocardial Infarction ◽  
High Blood Pressure ◽  
Abdominal Obesity ◽  
Premature Death ◽  
Medical College ◽  
The Metabolic Syndrome ◽  
Low Hdl

Background: Metabolic syndrome confers the risk of developing acute myocardial infarction which is the most common form of coronary heart disease and the single most important cause of premature death worldwide. The frequency and association of different components of metabolic syndrome on AMI are not well understood and has not been well evaluated.Objective: The aim of this study was to assess the components of the metabolic syndrome and its association with AMI patients. This study will help in awareness building in reducing AMI by early detection of components of metabolic syndrome.Patients and methods: This was a prospective observational study consisted of 325 AMI patients who were aged >20 years. Patients with first time AMI arriving in CCU of Rajshahi medical college during the period of 2012-2014, were included. Data were collected through interview, clinical examination, and laboratory tests within 24 hrs of AMI. Five components of metabolic syndrome were defined according to criteria set by modified NCEP ATP III (according to ethnic variation).Results: In AMI patients (n=325), no metabolic components were in 24 (7.4%) patients, one in 53 (16.3%), 2 components in 91(28.0%), 3 components were in 61(18.8%), 4 in 67(20.6%) and all 5 components were in 29 (8.9%) patients. In this study, there was no component in 7.4% of AMI patients, at least 1 component was 92.6%, at least 2 components were 76.3%, at least 3 components were 48.3%, at least 4 components were 29.5% and at least 5 components were 8.9%. The Metabolic syndrome was 48.3% (n=157). Among metabolic syndrome (≥3 components) in AMI (n=157, 48.3%) 4 components (20.6%) were more, next was 3 components (18.8%) and than 5 components (8.9%). Overall frequencies of components in acute myocardial infarction (n=325) were in order of abdominal obesity (54.8%) > high blood pressure (54.5%) > high FPG (54.2%) > Triglyceride (46.2%) and low HDL-C (46.2%) in acute myocardial infarction. Highest percentage was observed in abdominal obesity (54.8%) followed by high blood pressure (54.5%) and FPG (54.2%).TAJ 2016; 29(2): 6-10

scholarly journals Heritability of the metabolic syndrome and its components in the Tehran Lipid and Glucose Study (TLGS)

2012 ◽  
Vol 94 (6) ◽  
pp. 331-337 ◽  
Author(s):  
MARYAM ZARKESH ◽  
MARYAM SADAT DANESHPOUR ◽  
BITA FAAM ◽  
MOHAMMAD SADEGH FALLAH ◽  
NIMA HOSSEINZADEH ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Hdl Cholesterol ◽  
Age And Gender ◽  
The Metabolic Syndrome ◽  
Biological Parents ◽  
Heritability Estimation ◽  
Low Hdl ◽  
And Gender ◽  
Continuous Traits

SummaryGrowing evidence suggests that metabolic syndrome (MetS) has both genetic and environmental bases. We estimated the heritability of the MetS and its components in the families from the Tehran Lipid and Glucose Study (TLGS). We investigated 904 nuclear families in TLGS with two biological parents and at least one offspring (1565 parents and 2448 children), aged 3–90 years, for whom MetS information was available and had at least two members of family with MetS. Variance component methods were used to estimate age and sex adjusted heritability of metabolic syndrome score (MSS) and MetS components using SOLAR software. The heritability of waist circumference (WC), HDL-cholesterol (HDL-C), triglycerides (TGs), fasting blood sugar (FBS), systolic blood pressure (SBP) and diastolic blood pressure (DBP) as continuous traits after adjusting for age and gender were 27, 46, 36, 29, 25, 26 and 15%, respectively, and MSS had a heritability of 15%. When MetS components were analysed as discrete traits, the estimates of age and gender adjusted heritability for MetS, abdominal obesity, low HDL-C, high TG, high FBS and high blood pressure (BP) were 22, 40, 34, 38 and 23%, respectively (P < 0·05). Three factors were extracted from the six continuous traits of the MetS including factor I (BP), factor II (lipids) and factor III (obesity and FBS). Heritability estimation for these three factors were 7, 13 (P < 0·05) and 2%, respectively. The highest heritability was for HDL-C and TG. The results strongly encourage efforts to identify the underlying susceptibility genes.

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.

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