Association of sulfur amino acid consumption with cardiometabolic risk factors: Cross-sectional findings from NHANES III

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.

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CARDIORESPIRATORY FITNESS AND CARDIOMETABOLIC RISK FACTORS AMONG UNIVERSITY PROFESSORS

Revista Brasileira de Medicina do Esporte ◽

10.1590/1517-869220182402171631 ◽

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.

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

International Journal of Endocrinology ◽

10.1155/2013/801832 ◽

2013 ◽

Vol 2013 ◽

pp. 1-10 ◽

Cited By ~ 5

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.

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

Public Health Nutrition ◽

10.1017/s1368980009991637 ◽

2009 ◽

Vol 13 (4) ◽

pp. 488-495 ◽

Cited By ~ 10

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.

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

Public Health Nutrition ◽

10.1017/s1368980019001125 ◽

2019 ◽

Vol 22 (15) ◽

pp. 2823-2834 ◽

Cited By ~ 1

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

Primary Care Diabetes ◽

10.1016/j.pcd.2020.07.006 ◽

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

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Abdominal visceral and subcutaneous adipose tissue and associations with cardiometabolic risk in Inuit, Africans and Europeans: a cross-sectional study

BMJ Open ◽

10.1136/bmjopen-2020-038071 ◽

2020 ◽

Vol 10 (9) ◽

pp. e038071 ◽

Cited By ~ 1

Author(s):

Pernille Falberg Rønn ◽

Gregers Stig Andersen ◽

Torsten Lauritzen ◽

Dirk Lund Christensen ◽

Mette Aadahl ◽

...

Keyword(s):

Risk Factors ◽

Insulin Resistance ◽

Adipose Tissue ◽

Subcutaneous Adipose Tissue ◽

Cardiometabolic Risk ◽

Abdominal Fat ◽

Cardiometabolic Risk Factors ◽

Hepatic Insulin Resistance ◽

Cross Sectional ◽

Subcutaneous Adipose

ObjectivesAbdominal fat has been identified as a risk marker of cardiometabolic disease independent of overall adiposity. However, it is not clear whether there are ethnic disparities in this risk. We investigated the associations of visceral adipose tissue (VAT) and abdominal subcutaneous adipose tissue (SAT) with cardiometabolic risk factors in three ethnic diverse populations of Inuit, Africans and Europeans.DesignCross-sectional pooled study.SettingGreenland, Kenya and Denmark.MethodsA total of 5113 participants (2933 Inuit, 1397 Africans and 783 Europeans) from three studies in Greenland, Kenya and Denmark were included. Measurements included abdominal fat distribution assessed by ultrasound, oral glucose tolerance test, hepatic insulin resistance, blood pressure and lipids. The associations were analysed using multiple linear regressions.ResultsAcross ethnic group and gender, an increase in VAT of 1 SD was associated with higher levels of hepatic insulin resistance (ranging from 14% to 28%), triglycerides (8% to 16%) and lower high-density lipoprotein cholesterol (HDL-C, −1.0 to −0.05 mmol/L) independent of body mass index. VAT showed positive associations with most of the other cardiometabolic risk factors in Inuit and Europeans, but not in Africans. In contrast, SAT was mainly associated with the outcomes in Inuit and Africans. Of notice was that higher SAT was associated with higher HDL-C in African men (0.11 mmol/L, 95% CI: 0.03 to 0.18) and with lower HDL-C in Inuit (−0.07 mmol/L, 95% CI: -0.12 to –0.02), but not in European men (−0.02 mmol/L, 95% CI: −0.09 to 0.05). Generally weaker associations were observed for women. Furthermore, the absolute levels of several of the cardiometabolic outcomes differed between the ethnic groups.ConclusionsVAT and SAT were associated with several of the cardiometabolic risk factors beyond overall adiposity. Some of these associations were specific to ethnicity, suggesting that ethnicity plays a role in the pathway from abdominal fat to selected cardiometabolic risk factors.

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Association between access to social service resources and cardiometabolic risk factors: a machine learning and multilevel modeling analysis

BMJ Open ◽

10.1136/bmjopen-2018-025281 ◽

2019 ◽

Vol 9 (3) ◽

pp. e025281 ◽

Cited By ~ 4

Author(s):

Seth A Berkowitz ◽

Sanjay Basu ◽

Atheendar Venkataramani ◽

Gally Reznor ◽

Eric W Fleegler ◽

...

Keyword(s):

Machine Learning ◽

Risk Factors ◽

Cardiometabolic Risk ◽

Learning Algorithm ◽

Density Lipoprotein ◽

Social Needs ◽

Cardiometabolic Risk Factors ◽

Secondary Outcome ◽

Haemoglobin A1c ◽

Cross Sectional

ObjectivesInterest in linking patients with unmet social needs to area-level resources, such as food pantries and employment centres in one’s ZIP code, is growing. However, whether the presence of these resources is associated with better health outcomes is unclear. We sought to determine if area-level resources, defined as organisations that assist individuals with meeting health-related social needs, are associated with lower levels of cardiometabolic risk factors.DesignCross-sectional.SettingData were collected in a primary care network in eastern Massachusetts in 2015.Participants and primary and secondary outcome measures123 355 participants were included. The primary outcome was body mass index (BMI). The secondary outcomes were systolic blood pressure (SBP), low-density lipoprotein (LDL) cholesterol and haemoglobin A1c (HbA1c). All participants were included in BMI analyses. Participants with hypertension were included in SBP analyses. Participants with an indication for cholesterol lowering were included in LDL analyses and participants with diabetes mellitus were included in HbA1c analyses. We used a random forest-based machine-learning algorithm to identify types of resources associated with study outcomes. We then tested the association of ZIP-level selected resource types (three for BMI, two each for SBP and HbA1c analyses and one for LDL analyses) with these outcomes, using multilevel models to account for individual-level, clinic-level and other area-level factors.ResultsResources associated with lower BMI included more food resources (−0.08 kg/m2per additional resource, 95% CI −0.13 to −0.03 kg/m2), employment resources (−0.05 kg/m2, 95% CI −0.11 to −0.002 kg/m2) and nutrition resources (−0.07 kg/m2, 95% CI −0.13 to −0.01 kg/m2). No area resources were associated with differences in SBP, LDL or HbA1c.ConclusionsAccess to specific local resources is associated with better BMI. Efforts to link patients to area resources, and to improve the resources landscape within communities, may help reduce BMI and improve population health.

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