scholarly journals Nutrient profiling and adherence to components of the UK national dietary guidelines association with metabolic risk factors for CVD and diabetes: Airwave Health Monitoring Study

2018 ◽  
Vol 119 (6) ◽  
pp. 695-705 ◽  
Author(s):  
Rebeca Eriksen ◽  
Rachel Gibson ◽  
Kathryn Lamb ◽  
Yvonne McMeel ◽  
Anne-Claire Vergnaud ◽  
...  
Keyword(s):  
Risk Factors ◽  
Waist Circumference ◽  
Diet Quality ◽  
Health Monitoring ◽  
Quality Index ◽  
Cardiometabolic Risk ◽  
Epidemiological Studies ◽  
Metabolic Risk ◽  
Point Increase ◽  
Monitoring Study

AbstractCVD is the leading cause of death worldwide. Diet is a key modifiable component in the development of CVD. No official UK diet quality index exists for use in UK nutritional epidemiological studies. The aims of this study are to: (i) develop a diet quality index based on components of UK dietary reference values (DRV) and (ii) determine the association between the index, the existing UK nutrient profile (NP) model and a comprehensive range of cardiometabolic risk markers among a British adult population. A cross-sectional analysis was conducted using data from the Airwave Health Monitoring Study (n 5848). Dietary intake was measured by 7-d food diary and metabolic risk using waist circumference, BMI, blood lipid profile, glycated Hb (HbA1c) and blood pressure measurements. Diet quality was assessed using the novel DRV index and NP model. Associations between diet and cardiometabolic risk were analysed via multivariate linear models and logistic regression. A two-point increase in NP score was associated with total cholesterol (β −0·33 mmol/l, P<0·0001) and HbA1c (β −0·01 %, P<0·0001). A two-point increase in DRV score was associated with waist circumference (β −0·56 cm, P<0·0001), BMI (β −0·15 kg/m2, P<0·0001), total cholesterol (β −0·06 mmol/l, P<0·0001) and HbA1c (β −0·02 %, P=0·002). A one-point increase in DRV score was associated with type 2 diabetes (T2D) (OR 0·94, P=0·01) and obesity (OR 0·95, P<0·0001). The DRV index is associated with overall diet quality and risk factors for CVD and T2D, supporting its application in nutritional epidemiological studies investigating CVD risk in a UK population.

scholarly journals Association between Ag-RP, alpha-MSH and cardiovascular risk factors regarding adherence to Diet Quality Index- International (DQI-I) among obese individuals

2021 ◽  
Author(s):  
Mahsa Mahmoudinezhad ◽  
Mahdieh Abbasalizad Farhangi
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Diet Quality ◽  
Quality Index ◽  
Cardiometabolic Risk ◽  
Resistance Index ◽  
Cardiometabolic Risk Factors ◽  
Model Assessment ◽  
Diet Quality Index ◽  
Adherence To Diet

Introduction: Obesity is a strong promoter of cardiometabolic risk factors and is associated with several chronic comorbidities. Recently, the role of α-melanocyte stimulating hormone (α-MSH) and agouti related peptide (Ag-RP) in regulation of energy balance has attracted much attention. In current study, we evaluated the association between α-MSH and Ag-RP with cardiometabolic factors among obese individuals with different adherence to Diet Quality Index-International (DQI-I) values. Methods: In this research, 188 obese adults aged between 20 and 50 years old and body mass index (BMI) between 30 and 40 kg/m2 were recruited. Dietary intakes of participants and DQI-I calculation was performed using a semi-quantitative food frequency questionnaire (FFQ) with 132 food items. Serum glucose, lipids, insulin, and plasma α-MSH and Ag-RP levels were measured using ELISA kits. Homeostasis model assessment for insulin resistance index (HOMA-IR) and quantitative insulin sensitivity check index (QUICKI) were also calculated. Results: Among those with the lowest adherence to DQI-I, Ag-RP was positively associated with systolic blood pressure (SBP) (P = 0.03) among males, which was associated with waist circumference (WC) (P = 0.01) and diastolic blood pressure (DBP) (P = 0.01). Moreover, among males with low and moderate adherence to DQI-I, α-MSH was positively associated with insulin (P = 0.04), weight (P = 0.03), WC (P < 0.01), SDP (P = 0.02) and DBP (P = 0.01). Also, Ag-RP showed a positive association with BMI values (R2 = 0.03; P = 0.03). Conclusion: According to our findings, in obese subjects with poor to moderate adherence to DQI-I, Ag-RP and α-MSH were in positive correlation with cardiometabolic risk factors. These findings further clarify the clinical importance of these parameters as prognostic factors of cardiometabolic abnormalities.

Association between diet quality index and cardiometabolic risk factors in adolescents: Study of Cardiovascular Risks in Adolescents (ERICA)

Nutrition ◽  
2021 ◽  
Vol 90 ◽  
pp. 111216
Author(s):  
Julianna do Amaral Ritter ◽  
Felipe Vogt Cureau ◽  
Débora Barbosa Ronca ◽  
Carina Andriatta Blume ◽  
Gabriela Heiden Teló ◽  
...  
Keyword(s):  
Risk Factors ◽  
Diet Quality ◽  
Quality Index ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Cardiovascular Risks ◽  
Diet Quality Index

scholarly journals Cocaine and amphetamine-regulated transcript prepropeptide gene (CARTPT) polymorphism interacts with Diet Quality Index-International (DQI-I) and Healthy Eating Index (HEI) to affect hypothalamic hormones and cardio-metabolic risk factors among obese individuals

2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Mahsa Mahmoudi-Nezhad ◽  
Mahdieh Abbasalizad Farhangi ◽  
Houman Kahroba
Keyword(s):  
Risk Factors ◽  
Gene Polymorphism ◽  
Healthy Eating ◽  
Diet Quality ◽  
Quality Index ◽  
Healthy Eating Index ◽  
Metabolic Risk ◽  
Diet Quality Index ◽  
Healthy Obese ◽  
Apparently Healthy

Abstract Background Epidemiologic studies show that cocaine- and amphetamine-regulated transcript prepropeptide (CARTPT) gene polymorphism modifies diet-obesity relationships. However, the interaction between CARTPT gene polymorphism and diet quality indices have not been investigated yet. The current study was aimed to evaluate the interaction between major dietary indices including Diet Quality Index-International (DQI-I) and Healthy Eating Index (HEI)-2015 and CARTPT gene rs2239670 variants among apparently healthy obese Iranians. Methods This cross-sectional study was carried out by employing 288 apparently healthy obese adults aged 20–50 years with a BMI of 30–40 kg/m2. Diet quality was evaluated by Diet Quality Index-International (DQI-I) and Healthy Eating Index-2015 (HEI-2015) using a 132-items semi-quantitative validated food frequency questionnaire. The CARTPT gene rs2239670 polymorphism was genotyped by polymerase chain reaction-restriction fragment length polymorphism (PCR–RFLP) technique. Blood concentrations of glycemic markers, lipid profile, α-melanocyte stimulating hormone (MSH) and agouti-related peptide (AgRP) were also measured. ANCOVA multivariate interaction model was used to analyze gene-diet interactions. Results The significant interactions were identified between CARTPT gene polymorphism and HEI, affecting BMR (PInteraction = 0.003), serum glucose (PInteraction = 0.009) and high density lipoprotein cholesterol HDL concentrations (PInteraction = 0.03) after adjusting for the effects of sex and age. Also we found gene-diet interaction between CARTPT genotypes and DQI-I in terms of fat mass (FM; PInteraction = 0.02), waist circumference (WC; PInteraction < 0.001), body mass index (BMI; PInteraction < 0.001), basal metabolic rate (BMR, PInteraction < 0.001), serum fasting glucose (PInteraction < 0.01) and AgRP (PInteraction = 0.05) in individuals even after adjusting for potential confounders. Conclusion Current study showed the effects of interaction between CARTPT genotype with adherence to HEI and DQI-I scores on obesity-related anthropometric and metabolic risk-factors.

scholarly journals Cardio-Metabolic Risk Factors in Scottish South Asian and Caucasian Youth

2021 ◽  
Vol 18 (9) ◽  
pp. 4667
Author(s):  
Meizi Wang ◽  
Jianhua Ying ◽  
Ukadike Chris Ugbolue ◽  
Duncan S. Buchan ◽  
Yaodong Gu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
South Asian ◽  
Metabolic Risk Factors ◽  
Individual Risk ◽  
Metabolic Risk ◽  
Asian Adolescents ◽  
Individual Risk Factors

(1) Background: Scotland has one of the highest rates of obesity in the Western World, it is well established that poor weight profiles, and particularly abdominal obesity, is strongly associated with Type II diabetes and cardiovascular diseases. Whether these associations are apparent in ethnic population groups in Scotland is unclear. The purpose of this study was to examine the associations between different measures of fatness with clustered cardio metabolic risk factors between Scottish South Asian adolescents and Scottish Caucasian adolescents; (2) Methods: A sample of 208 Caucasian adolescents and 52 South Asian adolescents participated in this study. Stature, waist circumference, body mass index, blood pressure, physical activity, and cardiovascular disease (CVD) risk were measured; (3) Results: Significant, partial correlations in the South Asian cohort between body mass index (BMI) and individual risk factors were generally moderate. However, correlations between Waist circumference (WC) and individual risk factors were significant and strong. In the Caucasian cohort, a significant yet weak correlation between WC and total cholesterol (TG) was noted although no other associations were evident for either WC or BMI. Multiple regression analysis revealed that both BMI and WC were positively associated with CCR (p < 0.01) in the South Asian group and with the additional adjustment of either WC or BMI, the independent associations with clustered cardio-metabolic risk (CCR) remained significant (p < 0.005); (4) Conclusions: No positive relationships were found between BMI, WC, and CCR in the Caucasian group. Strong and significant associations between measures of fatness and metabolic risk were evident in Scottish South Asian adolescents.

scholarly journals Eating behavior affects cardio-metabolic risk in high school teenagers in a developing country

2020 ◽  
Vol 29 (1) ◽  
pp. 71-81
Author(s):  
Rita Suhadi ◽  
Phebe Hendra ◽  
Dita Maria Virginia ◽  
Christianus Heru Setiawan
Keyword(s):  
Risk Factors ◽  
Heart Rate ◽  
Waist Circumference ◽  
Eating Behavior ◽  
Eating Behaviors ◽  
Metabolic Risk Factors ◽  
Metabolic Risk ◽  
Cross Sectional ◽  
Male Subjects ◽  
Female Subjects

BACKGROUND Modernization negatively changes lifestyle, characterized by excessive eating and reduced energy consumption, and concurrently increases the cardiometabolic risk. This study was aimed to evaluate the association between eating behavior and cardio-metabolic risk factors including body mass index (BMI) in percentile, blood pressure (BP) in percentile, waist circumference, and heart rate in total subjects and gender sub-groups. METHODS This analytical cross-sectional study was done from July to November 2018. High schools in four provinces of Indonesia and students were selected using purposive sampling. Subjects’ profiles were collected from interview and cardio-metabolic parameters were measured at the study sites. Data were analyzed with chi-square and independent t-test. RESULTS Subjects who were overweight/obese and had high BP accounted for 27.1% and 9.3–12.0% of the total subjects (n = 768), respectively. Subjects who having breakfast tended to have lower BMI (p = 0.006), and the lower consumption of western meals had lower heart rate (p = 0.02). Male subjects had more meal frequency and had less quantity of snacks than female subjects (p<0.001). Male subjects with routine intake of vegetables had low heart rate (p = 0.03). Female subjects with routine breakfast had better BMI (p<0.001), and lower diastolic BP (p = 0.004) and waist circumference (p = 0.02), whereas those who consumed Western meals had higher heart rate (p = 0.046) and waist circumference (p = 0.001). CONCLUSIONS Eating behaviors are likely to affect cardio-metabolic risk factors, and the effects vary within gender groups.

scholarly journals Waist-to-height ratio, waist circumference and BMI as indicators of percentage fat mass and cardiometabolic risk factors in children aged 3–7 years

2014 ◽  
Vol 33 (2) ◽  
pp. 311-315 ◽  
Author(s):  
Anna Sijtsma ◽  
Gianni Bocca ◽  
Carianne L'Abée ◽  
Eryn T. Liem ◽  
Pieter J.J. Sauer ◽  
...  
Keyword(s):  
Risk Factors ◽  
Waist Circumference ◽  
Fat Mass ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Height Ratio ◽  
Waist To Height Ratio

scholarly journals Body Mass Index, Waist Circumference, and the Clustering of Cardiometabolic Risk Factors in Early Childhood

2015 ◽  
Vol 30 (2) ◽  
pp. 160-170 ◽  
Author(s):  
Laura N. Anderson ◽  
Gerald Lebovic ◽  
Jill Hamilton ◽  
Anthony J. Hanley ◽  
Brian W. McCrindle ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Early Childhood ◽  
Waist Circumference ◽  
Body Mass ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors

Sedentary behavior moderates the relationship between physical activity and cardiometabolic risk in young Latino children

2021 ◽  
Author(s):  
Jamil A Malik ◽  
Jennifer Coto ◽  
Elizabeth R Pulgaron ◽  
Amber Daigre ◽  
Janine E Sanchez ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Sedentary Behavior ◽  
Low Income ◽  
Latent Variables ◽  
Cardiometabolic Risk ◽  
Vigorous Physical Activity ◽  
Cardiometabolic Risk Factors ◽  
Metabolic Risk ◽  
Latino Children

Abstract This study investigated the role of objectively measured moderate–vigorous physical activity (MVPA) and sedentary behavior on cardiometabolic risk factors of young Latino children. We hypothesized that MVPA would be associated with lower cardiometabolic risk when sedentary behavior is low. We studied 86 primarily low-income, Latino children using a cross-sectional study design. The study sample consisted of 51 girls and 35 boys, with mean age 5.6 (SD = .53) years. Physical activity was measured by accelerometry, anthropometric measures obtained, and fasting blood samples were used to measure cardiometabolic risk factors. Greater levels of sedentary behavior were associated with increased waist circumference (rs = .24, p &lt; .05) and metabolic risks. MVPA, however, had significant beneficial associations with all cardiometabolic risk factors (rs-range = −.20 to −.45, p &lt; .05) with the exception of plasma insulin. MVPA predicted latent variables representing anthropometric risk (β = −.57, p &lt; .01), cardiac risk (β = −.74, p &lt; .01), and metabolic risk (β = −.88, p &lt; .01). Sedentary behavior significantly moderated the effect of MVPA on anthropometric (β-interaction = .49, p &lt; .01), cardiac (β-interaction = .45, p &lt; .01), and metabolic risk (β-interaction = .77, p &lt; .01), such that more MVPA was associated with better health outcomes under conditions of lower sedentary behavior. The model explained 13%, 22%, and 45% variance in anthropometric, cardiac, and metabolic risk factors, respectively. Increased MVPA is associated with decreased cardiometabolic risk in young Latino children, particularly when sedentary behavior is low.

Abstract P148: Neck Circumference as an Independent Contributor to Cardio Metabolic Risk Factors - ELSA BRASIL

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Cristina P Baena ◽  
Paulo A Lotufo ◽  
Maria J Fonseca ◽  
Isabela J Benseñor
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Blood Pressure ◽  
Primary Care ◽  
Cardiometabolic Risk ◽  
Neck Circumference ◽  
Cardiometabolic Risk Factors ◽  
Metabolic Risk ◽  
Men And Women ◽  
Low Hdl

Background: Neck circumference is a proxy for upper body fat and it is a simple anthropometric measure. Therefore it could be a useful tool to identify individuals with cardiometabolic risk factors in the context of primary care. Hypothesis: Neck circumference is independently associated to cardiometabolic risk factors in an apparently healthy population. Methods: This is a cross-sectional analysis of baseline data of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), a cohort of 15105 civil servants aged 35-74 years. We excluded from this analysis those who fulfilled American Diabetes Association criteria for diabetes diagnosis, were taking antihypertensive and/or lipid-lowering drugs. A sex-specific analysis was conducted. Partial correlation (age-adjusted) was used. Risk factors were set as low HDL<50mg/dL for women and <40mg/dL for men, hypertriglyceridemia ≥ 150 mg/dl , hypertension as systolic blood pressure ≥130 mg/dl or diastolic blood pressure ≥85 mm Hg and insulin resistance(HOMA-IR ≥ 75th percentile). Logistic regression models were built to analyze the association between individual and clustered risk factors as dependent variables and 1-SD increase in neck circumference as independent variable. Multiple adjustments were subsequently performed for age, smoking, alcohol, body-mass index, waist and physical activity. Receiver Operating Curves were employed to find the best NC cut-off points for clustered risk factors. Results: We analyzed 3810 men (mean age= 49.0 ±8.3 yrs) and 4916 women (49.2 ±8.0 yrs). Mean NC was 38.9 (±2.6)cm for men and 33.4(±2.6)cm for women. NC positively correlated with systolic and diastolic blood pressure (r=0.21 and r=0.27), HOMA - IR (r=0.44), triglycerides (r=0.31) and negatively correlated with HDL (r= -0.21) in men (p<0.001 for all) with similar results in women. Fully adjusted Odds Ratio (OR) (95% CI) of risk factor per SD increase in neck circumference in men and women were 1.29(1.14;1.46) and 1.42(1.28;1.57) for insulin resistance; 1.24(1.11;1.39) and 1.25(1.11;1.40) for hypertension; 1.33(1.19;1.49) and 1.42(1.29;1.63) for hypertriglyceridemia; 1.07(0.92;1.23) and 1.32 (1.19;1.43) for low HDL. Fully adjusted OR (95% CI) of 2 clustered risk factor per SD increase in neck circumference in men and women were 1.29(1.14;1.48) and 1.37(1.21;1.54 ). Fully adjusted OR (95% CI) of 3 or more clustered risk factors per SD increase in neck circumference in men and women were 1.33 (1.02;1.74) and 1.62 (1.33;1.92). Values of neck circumference of >40 cm for men and >34.1 cm for women were the best cut-off points for 3 or more clustered risk factors. Conclusion: Neck circumference is significantly and independently associated to cardiometabolic risk factors in a well-defined non-treated population. It should be considered as a marker of cardio metabolic risk factors in primary care settings.

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