Cardiometabolic risk factors in Venezuela. The EVESCAM study: a national cross-sectional survey in adults

2021 ◽  
Vol 15 (1) ◽  
pp. 106-114
Author(s):  
Ramfis Nieto-Martínez ◽  
Juan P. González-Rivas ◽  
Eunice Ugel ◽  
Maritza Duran ◽  
Eric Dávila ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Cross Sectional Survey ◽  
Cross Sectional

A Cross-Sectional Survey of Cardiometabolic Risk Factors in Canadian Primary Care Patients with Abdominal Obesity

2014 ◽  
Vol 38 (5) ◽  
pp. S45
Author(s):  
David C.W. Lau ◽  
Lawrence A. Leiter ◽  
Jacques J.G. Genest ◽  
Stewart B. Harris ◽  
Peter Selby ◽  
...  
Keyword(s):  
Risk Factors ◽  
Primary Care ◽  
Abdominal Obesity ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Primary Care Patients

Insulin Resistance and Cardiometabolic Risk Profile Among Non-Diabetic American Young Adults: Insights from NHANES

2021 ◽  
Author(s):  
Vibhu Parcha ◽  
Brittain Heindl ◽  
Rajat Kalra ◽  
Peng Li ◽  
Barbara Gower ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Young Adults ◽  
Fat Mass ◽  
Cardiometabolic Risk ◽  
Temporal Trends ◽  
Cardiometabolic Risk Factors ◽  
Model Assessment ◽  
Cross Sectional Survey ◽  
Cross Sectional

Abstract Background The burden of insulin resistance (IR) among young American adults has not been previously assessed. We evaluated the 1) prevalence and trends of IR and cardiometabolic risk factors and, 2) assessed the association between measures of adiposity and IR among adults aged 18-44 years without diabetes and preexisting cardiovascular disease. Methods Cross-sectional survey data from six consecutive National Health and Nutrition Examination Survey (2007-2008 to 2017-2018) cycles were analyzed. IR was defined by the homeostatic model assessment for IR (HOMA-IR) of ≥2.5. The temporal trends of IR, cardiometabolic risk factors, and the relationship between IR and measures of adiposity were assessed using multivariable-adjusted regression models. Results Among 6,247 young adults aged 18-44 years, the prevalence of IR was 44.8% (95% CI: 42.0-47.6%) in 2007-2010 and 40.3% (95% CI: 36.4-44.2%) in 2015-2018 (Ptrend=0.07). There was a modest association of HOMA-IR with higher body mass index (BMI), waist circumference, total lean fat mass, and total and localized fat mass (all p<0.001). Participants with IR had a higher prevalence of hypertension (31.3% [95% CI: 29.2-33.5%] vs. 14.7% [95% CI: 13.2-16.2%]), hypercholesterolemia (16.0% [95% CI: 12.4-19.5%] vs. 7.0% [95% CI: 5.8-8.5%]), obesity (56.6% [95% CI: 53.9-59.3%] vs. 14.7% [95%CI: 13.0-16.5%]) and poor physical activity levels (18.3% [95% CI: 16.4-20.2%] vs. 11.7% [95%CI: 10.3-13.1%]) compared to participants without IR (all p<0.05). Conclusions Four-in-ten young American adults have IR, which occurs in a cluster with cardiometabolic risk factors. Nearly half of young adults with IR are non-obese. Screening efforts for IR irrespective of BMI may be required.

Association between dietary inflammatory index and cardiometabolic risk factors among Brazilian adolescents: results from a national cross-sectional study

2021 ◽  
pp. 1-24
Author(s):  
Pâmela Ferreira Todendi ◽  
Rafaela Salla ◽  
Nitin Shivappa ◽  
James R. Hebert ◽  
Julianna Ritter ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiometabolic Risk ◽  
Positive Association ◽  
Dietary Factors ◽  
Cardiometabolic Risk Factors ◽  
Model Assessment ◽  
Dietary Inflammatory Index ◽  
Cardiovascular Risks ◽  
Cross Sectional ◽  
Inflammatory Index

Abstract Dietary factors play a role in modulating chronic inflammation and in the development of cardiovascular disease. We aimed to investigate the association between the dietary inflammatory index (DII) and cardiometabolic risk factors among adolescents.A total of 31,684 Brazilian adolescents (12–17 years), from the Study of Cardiovascular Risks in Adolescents (ERICA) were included. Dietary intake was assessed using a 24-hour dietary recall. The E-DII (energy-adjusted)score was calculated based on data for 25available nutrients. The anthropometric profile, blood pressure, lipid profile, glucose, Homeostatic Model Assessment for Insulin Resistance (HOMA-IR), and glycated hemoglobin were measured. Poisson regression models were used to examine the associations between sex-specific quartiles of the E-DII and cardiometabolic risk factors. In the energy-adjusted models, when comparing a high pro-inflammatory diet (quartile 4) withananti-inflammatory diet (quartile 1), there was a positive association with high HOMA-IR among boys(prevalence ratios (PR)Q4=1.37, 95%CI: 1.04–1.79); and with high fasting glucose (PRQ4 = 1.96, 95%CI: 1.02–3.78), high triglycerides (PRQ4 = 1.92, 95%CI: 1.06–3.46),low HDL-c (PRQ4 = 1.16, 95%CI: 1.02–1.32) and high LDL-c (PRQ4 = 1.93, 95%CI: 1.12–3.33) among girls. Additionally, a moderately pro-inflammatory diet was positively associated with high HOMA-IR (PRQ2 = 1.14, 95%CI: 1.02–1.29) among girls, and high total cholesterol (PRQ3 = 1.56, 95%CI: 1.20–2.01) among boys.In conclusion, this study provides new evidence on the association between inflammatory diets with cardiometabolic risk factors among adolescents.

scholarly journals CARDIORESPIRATORY FITNESS AND CARDIOMETABOLIC RISK FACTORS AMONG UNIVERSITY PROFESSORS

2018 ◽  
Vol 24 (2) ◽  
pp. 102-106
Author(s):  
Jaqueline de Oliveira Santana ◽  
Juliana Vaz de Melo Mambrini ◽  
Sérgio Viana Peixoto
Keyword(s):  
Risk Factors ◽  
Cardiorespiratory Fitness ◽  
Cardiometabolic Risk ◽  
Strong Association ◽  
Protein Body ◽  
Hdl Cholesterol ◽  
Work Capacity ◽  
Cardiometabolic Risk Factors ◽  
Level Of Evidence ◽  
Cross Sectional

ABSTRACT Introduction: Cardiorespiratory fitness (CF) is associated with mortality and the development of cardiovascular disease, in addition to being related to work capacity. Objectives: This study aimed to verify the demographic, cardiometabolic and behavioral factors associated with CF in a representative sample of professors from a public university in Minas Gerais, Brazil. Methods: This is a cross-sectional study which evaluated, in addition to the CF, age, sex, glycemia, triglycerides, LDL and HDL cholesterol, C-reactive protein, body mass index (BMI), waist circumference, and physical activity (PA). The association between CF and cardiometabolic risk factors was estimated by logistic regression to obtain the odds ratios and respective confidence intervals (95%). Results: After adjustment, it was observed that professors with lower levels of CF were older, female, had higher BMI and a greater chance of being physically inactive. Conclusion: In general, the results show that the probability of low CF increases with the increase in BMI, in addition to the strong association with PA practice, which is a major focus of intervention measures aimed at improving workers health and their work capacity. Level of Evidence III; Case control study.

scholarly journals Cross-Sectional and Longitudinal Associations between Body Mass Index and Cardiometabolic Risk Factors in Adolescents in a Country of the African Region

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Tanica Lyngdoh ◽  
Bharathi Viswanathan ◽  
Edwin van Wijngaarden ◽  
Gary J. Myers ◽  
Pascal Bovet
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Young Adults ◽  
Body Mass ◽  
Weight Status ◽  
Cardiometabolic Risk ◽  
Linear Regression Analysis ◽  
Cardiometabolic Risk Factors ◽  
Cross Sectional

We assessed the association between several cardiometabolic risk factors (CRFs) (blood pressure, LDL-cholesterol, HDL-cholesterol, triglycerides, uric acid, and glucose) in 390 young adults aged 19-20 years in Seychelles (Indian Ocean, Africa) and body mass index (BMI) measured either at the same time (cross-sectional analysis) or at the age of 12–15 years (longitudinal analysis). BMI tracked markedly between age of 12–15 and age of 19-20. BMI was strongly associated with all considered CRFs in both cross-sectional and longitudinal analyses, with some exceptions. Comparing overweight participants with those having a BMI below the age-specific median, the odds ratios for high blood pressure were 5.4/4.7 (male/female) cross-sectionally and 2.5/3.9 longitudinally (P<0.05). Significant associations were also found for most other CRFs, with some exceptions. In linear regression analysis including both BMI at age of 12–15 and BMI at age of 19-20, only BMI at age of 19-20 remained significantly associated with most CRFs. We conclude that CRFs are predicted strongly by either current or past BMI levels in adolescents and young adults in this population. The observation that only current BMI remained associated with CRFs when including past and current levels together suggests that weight control at a later age may be effective in reducing CRFs in overweight children irrespective of past weight status.

scholarly journals Optimal waist:height ratio cut-off point for cardiometabolic risk factors in Turkish adults

2009 ◽  
Vol 13 (4) ◽  
pp. 488-495 ◽  
Author(s):  
Ahmet Selçuk Can ◽  
Emine Akal Yıldız ◽  
Gülhan Samur ◽  
Neslişah Rakıcıoğlu ◽  
Gülden Pekcan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Risk Factor ◽  
Cardiometabolic Risk ◽  
Roc Curves ◽  
Cross Sectional Study ◽  
Cardiometabolic Risk Factors ◽  
Youden Index ◽  
Cross Sectional ◽  
Men And Women

AbstractObjectiveTo identify the optimal waist:height ratio (WHtR) cut-off point that discriminates cardiometabolic risk factors in Turkish adults.DesignCross-sectional study. Hypertension, dyslipidaemia, diabetes, metabolic syndrome score ≥2 (presence of two or more metabolic syndrome components except for waist circumference) and at least one risk factor (diabetes, hypertension or dyslipidaemia) were categorical outcome variables. Receiver-operating characteristic (ROC) curves were prepared by plotting 1 − specificity on the x-axis and sensitivity on the y-axis. The WHtR value that had the highest Youden index was selected as the optimal cut-off point for each cardiometabolic risk factor (Youden index = sensitivity + specificity − 1).SettingTurkey, 2003.SubjectsAdults (1121 women and 571 men) aged 18 years and over were examined.ResultsAnalysis of ROC coordinate tables showed that the optimal cut-off value ranged between 0·55 and 0·60 and was almost equal between men and women. The sensitivities of the identified cut-offs were between 0·63 and 0·81, the specificities were between 0·42 and 0·71 and the accuracies were between 0·65 and 0·73, for men and women. The cut-off point of 0·59 was the most frequently identified value for discrimination of the studied cardiometabolic risk factors. Subjects classified as having WHtR ≥ 0·59 had significantly higher age and sociodemographic multivariable-adjusted odds ratios for cardiometabolic risk factors than subjects with WHtR < 0·59, except for diabetes in men.ConclusionsWe show that the optimal WHtR cut-off point to discriminate cardiometabolic risk factors is 0·59 in Turkish adults.

Dietary acid load and cardiometabolic risk factors: a systematic review and meta-analysis of observational studies

2019 ◽  
Vol 22 (15) ◽  
pp. 2823-2834 ◽  
Author(s):  
Elnaz Daneshzad ◽  
Fahimeh Haghighatdoost ◽  
Leila Azadbakht
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Blood Pressure ◽  
Observational Studies ◽  
Cardiometabolic Risk ◽  
Meta Analysis ◽  
Cardiometabolic Risk Factors ◽  
Cross Sectional ◽  
Dietary Acid ◽  
Acid Load

AbstractObjective:Dietary acid load (DAL) might contribute to change the levels of cardiometabolic risk factors; however, the results are conflicting. The present review was conducted to determine the relationship between DAL and cardiometabolic risk factors.Design:Systematic review and meta-analysis.Setting:A systematic search was conducted in electronic databases including ISI Web of Science, PubMed/MEDLINE, Scopus and Google Scholar for observational studies which assessed cardiometabolic risk factors across DAL. Outcomes were lipid profile, glycaemic factors and anthropometric indices. Effect sizes were derived using a fixed- or random-effect model (DerSimonian–Laird). Also, subgroup analysis was performed to find the probable source of heterogeneity. Egger’s test was performed for finding any publication bias.Results:Thirty-one studies were included in the current review with overall sample size of 92 478. There was a significant relationship between systolic blood pressure (SBP; weighted mean difference (WMD) = 1·74 (95 % CI 0·25, 3·24) mmHg;P= 0·022;I2= 95·3 %), diastolic blood pressure (DBP; WMD = 0·75 (95 % CI 0·07, 1·42) mmHg;P= 0·030;I2= 80·8 %) and DAL in cross-sectional studies. Serum lipids, glycaemic parameters including fasting blood sugar, glycated Hb, serum insulin, homeostatic model assessment of insulin resistance and waist circumference had no significant relationship with DAL. No publication bias was found. BMI was not associated with DAL in both cross-sectional and cohort studies.Conclusions:Higher DAL is associated with increased SBP and DBP. More studies are needed to find any relationship of DAL with lipid profile and glycaemic factors.

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