Speed of Movement, Fatness, and the Change in Cardiometabolic Risk Factors in Children

2021 ◽  
Author(s):  
Xianwen Shang ◽  
Yanping Li ◽  
Haiquan Xu ◽  
Qian Zhang ◽  
Ailing Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
High Density Lipoprotein ◽  
Body Fat ◽  
Risk Score ◽  
High Density Lipoprotein Cholesterol ◽  
Cardiometabolic Risk ◽  
Density Lipoprotein ◽  
Cardiometabolic Risk Factors ◽  
Percent Body Fat

AbstractWe aimed to examine speed of movement and its interactive association with fatness to changes in cardiometabolic risk factors over one year in children. The analysis included 8345 children aged 6–13 years. Cardiometabolic risk score was computed by summing Z-scores of waist circumference, the average of systolic and diastolic blood pressure, fasting glucose, high-density lipoprotein cholesterol (multiplied by −1), and triglycerides. Both high baseline and improvement in speed of movement were associated with favourable changes in percent body fat, lipids, and cardiometabolic risk score. Percentages of the association between baseline speed of movement and changes in cardiometabolic risk score, triglycerides, and high-density lipoprotein cholesterol explained by baseline BMI were 24.6% (19.6–29.1%), 26.2% (19.7–31.1%), and 12.5% (9.6–15.4%), respectively. The corresponding number for percent body fat was 47.0% (40.4–54.1%), 43.3% (36.7–51.7%), and 29.8% (25.0–34.6%), respectively. Speed of movement mediated the association between fatness and cardiometabolic risk factors. Improved speed of movement was associated with a lower increase in blood pressure in obese children only. Speed of movement is a strong predictor of changes in cardiometabolic risk factors. Fatness and speed of movement are interactively associated with cardiometabolic risk factors. Speed of movement may attenuate the positive association between fatness and blood pressure.

scholarly journals High-intensity activity is more strongly associated with metabolic health in children compared to sedentary time: a cross-sectional study of the I.Family cohort

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Jonatan Fridolfsson ◽  
Christoph Buck ◽  
Monica Hunsberger ◽  
Joanna Baran ◽  
Fabio Lauria ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Insulin Resistance ◽  
Blood Pressure ◽  
Body Mass Index ◽  
High Density Lipoprotein ◽  
High Density Lipoprotein Cholesterol ◽  
Density Lipoprotein ◽  
Cross Sectional ◽  
Intensity Physical Activity

Abstract Background Physical activity (PA) during childhood is important for preventing future metabolic syndrome (MetS). To examine the relationship between PA and MetS in more detail, accurate measures of PA are needed. Previous studies have only utilized a small part of the information available from accelerometer measured PA. This study investigated the association between measured PA and MetS in children with a new method for data processing and analyses that enable more detailed interpretation of PA intensity level. Methods The association between PA pattern and risk factors related to MetS was investigated in a cross- sectional sample of children (n = 2592, mean age 10.9 years, 49.4% male) participating in the European multicenter I. Family study. The risk factors examined include body mass index, blood pressure, high-density lipoprotein cholesterol, insulin resistance and a combined risk factor score (MetS score). PA was measured by triaxial accelerometers and raw data was processed using the 10 Hz frequency extended method (FEM). The PA output was divided into an intensity spectrum and the association with MetS risk factors was analyzed by partial least squares regression. Results PA patterns differed between the European countries investigated, with Swedish children being most active and Italian children least active. Moderate intensity physical activity was associated with lower insulin resistance (R2 = 2.8%), while vigorous intensity physical activity was associated with lower body mass index (R2 = 3.6%), MetS score (R2 = 3.1%) and higher high-density lipoprotein cholesterol (R2 = 2.3%). PA of all intensities was associated with lower systolic- and diastolic blood pressure, although the associations were weaker than for the other risk factors (R2 = 1.5% and R2 = 1.4%). However, the multivariate analysis implies that the entire PA pattern must be considered. The main difference in PA was observed between normal weight and overweight children. Conclusions The present study suggests a greater importance of more PA corresponding to an intensity of at least brisk walking with inclusion of high-intense exercise, rather than a limited time spent sedentary, in the association to metabolic health in children. The methods of data processing and statistical analysis enabled accurate analysis and interpretation of the health benefits of high intensity PA that have not been shown previously.

scholarly journals Relationship Between Meeting 24-Hour Movement Guidelines and Cardiometabolic Risk Factors in Children

2017 ◽  
Vol 14 (10) ◽  
pp. 779-784 ◽  
Author(s):  
Peter T. Katzmarzyk ◽  
Amanda E. Staiano
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
Adipose Tissue ◽  
Subcutaneous Adipose Tissue ◽  
Cardiometabolic Risk ◽  
Vigorous Physical Activity ◽  
Density Lipoprotein ◽  
Cardiometabolic Risk Factors ◽  
Subcutaneous Adipose

Background:The purpose of this study was to evaluate the relationship between adherence to pediatric 24-hour movement guidelines (moderate to vigorous physical activity, sedentary behavior, and sleep) and cardiometabolic risk factors.Methods:The sample included 357 white and African American children aged 5–18 years. Physical activity, television viewing, and sleep duration were measured using questionnaires, and the 24-hour movement guidelines were defined as ≥60 minutes per day of moderate to vigorous physical activity on ≥5 days per week, ≤ 2 hours per day of television, and sleeping 9–11 hours per night (ages 5–13 y) or 8–10 hours per night (ages 14–18 y). Waist circumference, body fat, abdominal visceral and subcutaneous adipose tissue, blood pressure, fasting triglycerides, high-density lipoprotein cholesterol, and glucose were measured in a clinical setting.Results:A total of 26.9% of the sample met none of the guidelines, whereas 36.4%, 28.3%, and 8.4% of the sample met 1, 2, or all 3 guidelines, respectively. There were significant associations between the number of guidelines met and body mass index, visceral and subcutaneous adipose tissue, triglycerides, and glucose. There were no associations with blood pressure or high-density lipoprotein cholesterol.Conclusions:Meeting more components of the 24-hour movement guidelines was associated with lower levels of obesity and several cardiometabolic risk factors. Future efforts should consider novel strategies to simultaneously improve physical activity, sedentary time, and sleep in children.

scholarly journals Adverse differences in cardiometabolic risk factor levels between individuals with pre-diabetes and normal glucose metabolism are more pronounced in women than in men: the Maastricht Study

2019 ◽  
Vol 7 (1) ◽  
pp. e000787 ◽  
Author(s):  
Rianneke de Ritter ◽  
Simone J S Sep ◽  
Carla J H van der Kallen ◽  
Miranda T Schram ◽  
Annemarie Koster ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Pressure Difference ◽  
Cardiometabolic Risk ◽  
Density Lipoprotein ◽  
Hdl Cholesterol ◽  
Cardiometabolic Risk Factors ◽  
Blood Pressure Difference

ObjectiveTo investigate whether adverse differences in levels of cardiovascular risk factors in women than men, already established when comparing individuals with and without diabetes, are also present before type 2 diabetes onset.Research design and methodsIn a population-based cohort study of individuals aged 40-75 years (n=3410; 49% women, 29% type 2 diabetes (oversampled by design)), we estimated associations with cardiometabolic and lifestyle risk factors of (1) pre-diabetes and type 2 diabetes (reference category: normal glucose metabolism) and (2) among non-diabetic individuals, of continuous levels of hemoglobin A1c (HbA1c). Age-adjusted sex differences were analyzed using linear and logistic regression models with sex interaction terms.ResultsIn pre-diabetes, adverse differences in cardiometabolic risk factors were greater in women than men for systolic blood pressure (difference, 3.02 mm Hg; 95% CI:−0.26 to 6.30), high-density lipoprotein (HDL) cholesterol (difference, −0.10 mmol/L; 95% CI: −0.18 to −0.02), total-to-HDL cholesterol ratio (difference, 0.22; 95% CI: −0.01 to 0.44), triglycerides (ratio: 1.11; 95% CI: 1.01 to 1.22), and inflammation markers Z-score (ratio: 1.18; 95% CI: 0.98 to 1.41). In type 2 diabetes, these sex differences were similar in direction, and of greater magnitude. Additionally, HbA1c among non-diabetic individuals was more strongly associated with several cardiometabolic risk factors in women than men: per one per cent point increase, systolic blood pressure (difference, 3.58 mm Hg; 95% CI: −0.03 to 7.19), diastolic blood pressure (difference, 2.10 mm Hg; 95% CI: −0.02 to 4.23), HDL cholesterol (difference, −0.09 mmol/L; 95% CI: −0.19 to 0.00), and low-density lipoprotein cholesterol (difference, 0.26 mmol/L; 95% CI: 0.05 to 0.47). With regard to lifestyle risk factors, no consistent pattern was observed.ConclusionOur results are consistent with the concept that the more adverse changes in cardiometabolic risk factors in women (than men) arise as a continuous process before the onset of type 2 diabetes.

scholarly journals Association between eating habits, body mass index, cardiorespiratory fitness, and cardiometabolic risk factors in children

2021 ◽  
Vol 34 ◽  
Author(s):  
Miguel Angelo dos Santos DUARTE JUNIOR ◽  
Adroaldo Cezar Araujo GAYA ◽  
Vanilson Batista LEMES ◽  
Camila Felin FOCHESATTO ◽  
Caroline BRAND ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Body Mass ◽  
Cardiorespiratory Fitness ◽  
Cardiometabolic Risk ◽  
Eating Habits ◽  
Density Lipoprotein ◽  
The Body ◽  
Cardiometabolic Risk Factors

ABSTRACT Objective To verify the multivariate relationships between eating habits, cardiorespiratory fitness, body mass index, and cardiometabolic risk factors in children. Methods This is a cross-sectional study developed in a public elementary school with 60 first- to sixth-graders. Their eating habits were assessed using the Food Frequency Survey, weight, height, and cardiorespiratory fitness, assessed according to the Projeto Esporte Brasil protocol. Moreover, the variables, high-density lipoprotein, low-density lipoprotein, glucose, insulin, C-reactive protein, adiponectin, leptin, diastolic and systolic blood pressure were evaluated. Descriptive statistics were used for data analysis and generalized estimation equations were used for the analysis of direct and indirect relations, in a multivariate analysis model with several simultaneous outcomes. Results It appears that the eating habits and cardiorespiratory fitness explain 20% of the body mass index. Cardiometabolic risk factors are explained by the relationship between eating habits, cardiorespiratory fitness, and body mass index, according to the following percentages: 29% (systolic blood pressure), 18% (diastolic blood pressure), 63% (leptin), 4% (adiponectin), 14% (C-reactive protein), 17% (insulin), 10% (high-density lipoprotein), 1% (low-density lipoprotein), 4% (glucose). It is also observed that the effects of the eating habits on cardiometabolic risk factors are indirect, that is, they are dependent on changes in the body mass index and cardiorespiratory fitness levels. Conclusions The relationship between eating habits and cardiometabolic risk factors in children is dependent on cardiorespiratory fitness and body mass index. Thus, our findings suggest a multivariate relationship between these factors.

scholarly journals Cardiometabolic risk factors predict executive function scores in high-risk individuals

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 651-651
Author(s):  
Joshua Gills ◽  
Megan Jones ◽  
Anthony Campitelli ◽  
Sally Paulson ◽  
Erica Madero ◽  
...  
Keyword(s):  
Risk Factors ◽  
Alzheimer’S Disease ◽  
Blood Pressure ◽  
Alzheimer's Disease ◽  
Executive Function ◽  
High Risk ◽  
Cardiometabolic Risk ◽  
Density Lipoprotein ◽  
Cardiometabolic Risk Factors ◽  
Walking Test

Abstract Alzheimer’s disease (AD) is expected to triple by 2050, affecting 16 million Americans. As a result, it is essential to combat this alarming increase in cognitive impairment through early detection. Cardiometabolic risk factors have shown to be associated with higher risk of AD. The purpose of this study was to determine if cardiometabolic risk factors could predict executive function scores in a high-risk population. Fifty (60.9±8.8 years) high-risk adults (classified by the Australian National University Alzheimer’s Disease Risk Index) were enrolled in this study. Participants completed a 6-minute walking test, venous blood draw, blood pressure measurement, and the digit coding symbol test (DCS). Results were examined through a multiple linear regression with DCS as the dependent variable and age, sex, total cholesterol, high-density lipoprotein (HDL), low-density lipoprotein (LDL), glucose, 6-minute walking test, systolic blood pressure (SBP), and diastolic blood pressure (DBP) as predictor variables. The model explained 42% of the variance of DCS (p = .04) with SBP (45%; p = .003) as a significant predictor. LDL (p = .087) and DBP (p = .123) accounted for 24% and 22% of the variance for this model, respectively. These results suggest cardiometabolic risk factors predict executive function values in high-risk individuals. Higher SBP was significantly associated with lower DCS scores indicating SBP as a valuable tool for practitioners when evaluating cognitive decline. Further research should expand sample size and track values longitudinally to substantiate these claims.

scholarly journals Associations of Serum Folate and Holotranscobalamin With Cardiometabolic Risk Factors in Rural and Urban Cameroon

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 1058-1058
Author(s):  
Camille Mba ◽  
Albert Koulman ◽  
Stephen Sharp ◽  
Nita Forouhi ◽  
Fumiaki Imamura ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Risk Score ◽  
Cardiometabolic Risk ◽  
B Vitamins ◽  
Cardiometabolic Risk Factors ◽  
Serum Folate ◽  
Metabolic Risk ◽  
Inverse Association ◽  
Metabolic Risk Score

Abstract Objectives Previous studies mostly in Western populations suggest that a low exposure to B-vitamins (folate and vitamin B12 in particular) are associated with increased cardiometabolic disease risk. This study aimed to examine the association of blood concentrations of folate and holotranscobalamin (holoTC) with cardiometabolic risk factors in adults in Cameroon. Methods We conducted a cross-sectional population-based study in 497 adults. We measured serum folate and holoTC by liquid chromatography tandem mass spectrometry and “sandwich” ELISA respectively. Total folate was calculated excluding the oxidation product 5-methyltetrahydrofolate. The outcomes were individual cardiometabolic risk factors and a continuous metabolic risk score. We fitted linear regression models to examine the association between B-vitamins and cardiometabolic risk factors and estimated β-coefficients and 95% confidence intervals per standard deviation (SD) difference in each B vitamin variable. Results Mean age was 38.2 (SD: 8.6) years and 63.5% of the participants were women. Mean serum folate was 15.9 (SD: 10.8) nmol/L and holoTC was 74.1 (SD: 33.7) pmol/L. Rural residents had higher concentrations of serum folate but lower holoTC than urban residents. There was a significant inverse association between serum folate and the metabolic risk score (−0.22 (−0.41 to −0.03)) in a multivariable model adjusted for age, sex, education level, smoking, alcohol intake, rural/urban site and BMI. This association was attenuated to the null after further adjustments for objectively measured physical activity (PAEE) and holoTC. HoloTC was positively associated with the metabolic risk score in unadjusted analysis (0.29 (0.08 to 0.51)) but attenuated to the null after adjusting for socio-demographic characteristics. For individual risk factors, an inverse association was observed between serum folate and diastolic blood pressure, which was unaffected by adjustment for confounders including PAEE and holoTC (−1.18 (−2.16 to − 0.20)). Conclusions In Cameroon, serum folate and holoTC were associated with the metabolic risk score in opposite directions, partly depending on potential demographic and socioeconomic characteristics. The inverse association between serum folate and the metabolic risk score was likely driven by the blood pressure component. Funding Sources None.

The Impact of Physical Activity on Lipids, Lipoproteins, and Blood Pressure in Preadolescent Girls

PEDIATRICS ◽  
1996 ◽  
Vol 98 (3) ◽  
pp. 389-395
Author(s):  
Suzanne B. Craig ◽  
Linda G. Bandini ◽  
Alice H. Lichtenstein ◽  
Ernst J. Schaefer ◽  
William H. Dietz
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
Energy Expenditure ◽  
Body Fat ◽  
Resting Metabolic Rate ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Percent Body Fat ◽  
Apo B

Objective. Inconsistent findings reported for the effect of physical activity on lipids, lipoproteins, and blood pressure in children may be due to errors inherent in the methods used to measure physical activity, lack of control for other cardiovascular risk factors, or both. The purpose of this study was to evaluate the association between physical activity assessed using direct measures of energy expenditure and cardiovascular risk factors, controlling for dietary intake and percent body fat. Methods. Nonresting energy expenditure was determined in 49 8- to 11-year-old girls from measurements of daily energy expenditure (using doubly-labeled water, 2H218O) and resting metabolic rate (using indirect calorimetry). Self-reported recall of the hours of participation in physical activities of at least moderate intensity (energy expenditure at least four times the resting metabolic rate, METS ≥4) during the previous year was also obtained. Percent body fat was estimated from the measurement of total body water with H218O. Concentrations of total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol (LDL-C), apolipoprotein B (apo B), apo A-I, lipoprotein (a), insulin, and estradiol, as well as the waist-to-hip ratio, systolic blood pressure, diastolic blood pressure, and dietary intake from 7-day food records were measured Data were analyzed using Pearson product-moment correlation and stepwise multiple regression. Results. Self-reported hours of participation in activities with METS (metabolic equivalents) of 4 or greater significantly predicted LDL-C and apo B concentrations, even after adjustment for percent body fat and percentage of dietary energy from saturated fat. Nonresting energy expenditure adjusted for weight, a measure of the energy spent on physical activity, did not predict LDL-C or high-density lipoprotein cholesterol concentrations. Body mass index and insulin concentration predicted systolic and diastolic blood pressure, respectively. Conclusions. These findings suggest that the intensity of physical activity may be a more important determinant of LDL-C in children than the energy spent on physical activity.

scholarly journals Maternal prenatal anxiety and depression and trajectories of cardiometabolic risk factors across childhood and adolescence: a prospective cohort study

2021 ◽  
Author(s):  
Karen Matvienko-Sikar ◽  
Kate N O’ Neill ◽  
Abigail Fraser ◽  
Catherine Hayes ◽  
Laura D Howe ◽  
...  
Keyword(s):  
Risk Factors ◽  
High Density Lipoprotein ◽  
Fat Mass ◽  
High Density Lipoprotein Cholesterol ◽  
Cardiometabolic Risk ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Anxiety And Depression ◽  
Cardiometabolic Health ◽  
Prenatal Anxiety

AbstractBackgroundQuantifying long-term offspring cardiometabolic health risks associated with maternal prenatal anxiety and depression can guide cardiometabolic risk prevention. This study examines associations between maternal prenatal anxiety and depression, and offspring cardiometabolic risk from birth to 18 years.MethodsParticipants were 526-8,606 mother-offspring pairs from the Avon Longitudinal Study of Parents and Children (ALSPAC). Exposures were anxiety (Crown-Crisp Inventory score) and depression (Edinburgh Postnatal Depression Scale score) measured at 18 and 32 weeks gestation. Outcomes were trajectories of offspring body mass index; fat mass; lean mass; pulse rate; glucose, diastolic and systolic blood pressure; triglycerides, high-density lipoprotein cholesterol and non-high-density lipoprotein cholesterol, and insulin from birth/early childhood to 18 years. Exposures were analysed categorically using clinically relevant, cut-offs and continuously to examine associations across the distribution of prenatal anxiety and depression.ResultsWe found no strong evidence of associations between maternal anxiety and depression, and offspring trajectories of any cardiometabolic risk factors, except for small, inconsistent associations with fat mass trajectories that attenuated upon confounder adjustment. For instance, in unadjusted analyses, anxiety at both 18 and 32 weeks was associated with a 1.8% (95% Confidence Interval (CI), 0.29,3.33) higher mean BMI, which spanned the null (difference (95% CI): 0.7% (−0.76,2.13) after adjustment for confounders.ConclusionsThis is the first examination of maternal prenatal anxiety and depression and trajectories of offspring cardiometabolic risk. Our findings suggest that prevention of maternal prenatal anxiety and depression may have limited impact on offspring cardiometabolic health across the first two decades of life.

scholarly journals Waist circumference and low high-density lipoprotein cholesterol as markers of cardiometabolic risk in Kenyan adults

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0247600
Author(s):  
Daniel Faurholt-Jepsen ◽  
Henrik Friis ◽  
David L. Mwaniki ◽  
Michael K. Boit ◽  
Lydia U. Kaduka ◽  
...  
Keyword(s):  
Risk Factors ◽  
Waist Circumference ◽  
High Density Lipoprotein ◽  
Lipid Profile ◽  
Hepatic Steatosis ◽  
Cardiometabolic Risk ◽  
Density Lipoprotein ◽  
High Density ◽  
Cardiometabolic Risk Factors ◽  
Lipoprotein Cholesterol

Background Abdominal obesity predict metabolic syndrome parameters at low levels of waist circumference (WC) in Africans. At the same time, the African lipid profile phenotype of low high-density lipoprotein (HDL) cholesterol without concomitant elevated triglyceride levels renders high triglyceride levels detrimental to cardiometabolic health unsuitable for identifying cardiometabolic risk in black African populations. Objectives We aimed to identify simple clinical measures for cardiometabolic risk based on WC and HDL in an adult Kenyan population in order to determine which of the two predictors had the strongest impact. Methods We used linear regression analyses to assess the association between the two exposure variables WC and HDL with cardiometabolic risk factors including ultrasound-derived visceral (VAT) and subcutaneous adipose tissue (SAT) accumulation, fasting and 2-h venous glucose, fasting insulin, fasting lipid profile, and blood pressure in adult Kenyans (n = 1 370), and a sub-population with hyperglycaemia (diabetes and pre-diabetes) (n = 196). The same analyses were performed with an interaction between WC and HDL to address potential effect modification. Ultrasound-based, semi-quantitative hepatic steatosis assessment was used as a high-risk measure of cardiometabolic disease. Results Mean age was 38.2 (SD 10.7) (range 17–68) years, mean body mass index was 22.3 (SD 4.5) (range 13.0–44.8) kg/m2, and 57.8% were women. Cardiometabolic risk was found in the association between both WC and HDL and all outcome variables (p<0.05) except for HDL and SAT, fasting and 2-h venous glucose. Additive cardiometabolic risk (WC and HDL interaction) was found for SAT, low-density lipoprotein cholesterol, and triglycerides. No differences in the association between WC and HDL and the outcome variables were found when comparing the full study population and the hyperglycaemia sub-population. Increase in WC and HDL were both associated with hepatic steatosis (OR 1.09, p<0.001, and OR 0.46, p = 0.031, respectively). Conclusion In adult Kenyans, increasing WC identified more cardiometabolic risk factors compared to HDL.

scholarly journals Neck circumference as predictor of excess body fat and cardiovascular risk factors in adolescents

2014 ◽  
Vol 27 (2) ◽  
pp. 161-171 ◽  
Author(s):  
Vivian Siqueira Santos Gonçalves ◽  
Eliane Rodrigues De Faria ◽  
Sylvia Do Carmo Castro Franceschini ◽  
Silvia Eloiza Priore
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Cardiovascular Risk ◽  
High Density Lipoprotein ◽  
Cardiovascular Risk Factors ◽  
Body Fat ◽  
Density Lipoprotein ◽  
Neck Circumference ◽  
High Density ◽  
Fasting Insulin

OBJECTIVE: To verify whether neck circumference can predict cardiovascular risk factors and excess body fat in adolescents. METHODS: This cross-sectional study included male and female adolescents aged 10 to 14 years from Viçosa, Minas Gerais. The following data were collected: anthropometric measurements, blood pressure, percentage of body fat according to dual energy X-ray absorptiometry, and levels of fasting glucose, fasting insulin, triglycerides, total cholesterol, high-density lipoprotein, and low-density lipoprotein. The anthropometric measurements were used for calculating indices and assessing nutritional status. The receiver operating characteristic curve tested whether neck circumference could predict cardiovascular risk. We also investigated how neck circumference related to the study parameters. The significance level was set at 5% (p<0.05). RESULTS: A total of 260 adolescents were assessed of which 50.4% (n=131) were females, 20.4% (n=53) had excess body weight according to the body mass index-for-age index, and 42.7% (n=111) had excess body fat. Blood pressure (3.9%, n=10) and all biochemical parameters were affected, varying from 1.9% (n=5) for glucose to 65% (n=169) for total cholesterol. Neck circumference correlated with body fat, waist circumference, hip circumference, weight, height, body mass index, waist-to-height ratio, homeostasis model of assessment - insulin resistance, fasting insulin, blood pressure, and high-density lipoprotein (<0.05). It predicted excess body fat and changes in fasting insulin and blood pressure in both sexes, blood glucose and high-density lipoprotein in females, and triglycerides in males (area under the curve >0.5; p<0.05, varying from 0.610 for high-density lipoprotein to 0.817 for blood pressure). CONCLUSION: Neck circumference was capable of predicting excess fat and cardiovascular risk factors in adolescents.

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