scholarly journals Prevalence of cardiometabolic risk factors in patients with hypertension and subclinical hypothyroidism

2021 ◽  
Vol 23 (6) ◽  
pp. 800-805
Author(s):  
A. O. Radchenko ◽  
O. V. Kolesnikova
Keyword(s):  
Risk Factors ◽  
Lipid Profile ◽  
Subclinical Hypothyroidism ◽  
Cardiometabolic Risk ◽  
Negative Impact ◽  
Density Lipoprotein ◽  
Cardiometabolic Risk Factors ◽  
Overt Hypothyroidism ◽  
Early Stages ◽  
Stage 1

It is known that the presence of overt hypothyroidism carries additional risks of developing cardiovascular diseases due to impaired lipid and carbohydrate metabolism. But whether subclinical hypothyroidism (SH) has the same negative impact is still controversial. The assessment of its role is especially important in patients with existing arterial hypertension (AH) in the early stages of the disease in order to prevent future complications. The aim of this work is to identify and assess the prevalence of early cardiometabolic risk factors in patients with AH combined with SH. Materials and methods. 66 patients (55.4 % women) aged from 25 to 59 years with a median age of 51.1 years were included in the study during 2019–2020 years. All the patients were divided into 3 groups, randomized by age and sex: group 1 (n = 21) – vo­lunteers without AH and SH; group 2 (n = 25) – euthyroid patients with stage 1–2 grade 1–2 AH and low-to-moderate cardiovascular risk (CVR); group 3 (n = 20) – patients with stage 1–2 grade 1–2 AH and low-to-moderate CVR in combination with SH. Blood pressure was measured, anthropometric data were assessed, glucose levels and lipid profile indicators were determined in all patients. Results. Comparative characteristics of the groups showed a rise in the frequency of detecting increased waist circumference and the waist-to-hip ratio, obesity, metabolic syndrome, its individual components and lipid profile disorders, especially the levels of total cholesterol and high-density lipoprotein cholesterol in patients with SH even in the early stages of AH and CVR of low gradations. However, dyslipidemias in general and hypertriglyceridemia in particular were more common in euthyroid hypertensive patients compared to patients with AH and concomitant SH. There was also a tendency towards an increase in gynoid obesity and a worsening of the lipid and carbohydrate profile disorders in SH patients in comparison to euthyroid patients with AH, although the differences were not statistically significant. Conclusions. Evaluation of cardiometabolic risk factors revealed the increase in severity of female obesity and worsening of abnormalities in lipid and carbohydrate profiles with the SH development in patients even in the early stages of AH and low-CVR, that additionally increases the risk of cardiovascular complications.

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 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.

Assessment of the correlation between the atherogenic index of plasma and cardiometabolic risk factors in children and adolescents: might it be superior to the TG/HDL-C ratio?

2017 ◽  
Vol 30 (9) ◽  
Author(s):  
Nalan Hakime Nogay
Keyword(s):  
Risk Factors ◽  
Children And Adolescents ◽  
Strong Correlation ◽  
Cardiometabolic Risk ◽  
Density Lipoprotein ◽  
Cardiometabolic Risk Factors ◽  
Atherogenic Index ◽  
Fasting Period ◽  
Atherogenic Index Of Plasma ◽  
The Mean

AbstractBackground:Most of the studies investigating the correlation between the atherogenic index of plasma (AIP) and cardiometabolic risk factors have been conducted with adults, while only a limited number of related studies that involved children and adolescents has been conducted. The purpose of this study is to assess the correlation between the AIP and other cardiometabolic risk factors in adolescents.Methods:This study was conducted with 310 girls and 90 boys who were between the ages of 6 and 18 years. After a 10-h fasting period, the biochemical values of the participants were measured in the morning. The anthropometric measurements of the participants were also taken. The AIP was calculated as Log10 (triglycerides/high density lipoprotein-cholesterol; TG/HDL-C).Results:In adolescents between the ages of 12 and 18, the mean AIP of the group with TG ≥130 mg/dL was significantly higher than that of the groups with TG of 90–129 mg/dL and <90 mg/dL. There was a strong correlation between TG and AIP for both boys and girls among the children and adolescents, while there was a strong correlation between the TG/HDL-C ratio and TG only in the boys who were within the 6–11-year-old age group.Conclusions:An increase in AIP is associated with cardiovascular risk factors in children and adolescents other than those seen in adults. Based on the TG/HDL-C ratio, the AIP may be superior as a complementary index in the assessment of cardiometabolic risks in children and adolescents.

scholarly journals Factorial Analysis of the Cardiometabolic Risk Influence on Redox Status Components in Adult Population

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Aleksandra Klisic ◽  
Nebojsa Kavaric ◽  
Sanja Vujcic ◽  
Vesna Spasojevic-Kalimanovska ◽  
Jelena Kotur-Stevuljevic ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiometabolic Risk ◽  
Adult Population ◽  
Density Lipoprotein ◽  
Principal Component ◽  
Cardiometabolic Risk Factors ◽  
Binary Logistic Regression Analysis ◽  
Visceral Adiposity Index ◽  
Related Factor ◽  
Compensatory Mechanism

Different byproducts of oxidative stress do not always lead to the same conclusion regarding its relationship with cardiometabolic risk, since controversial results are reported so far. The aim of the current study was to examine prooxidant determinant ((prooxidant-antioxidant balance (PAB)) and the marker of antioxidant defence capacity (total sulphydryl groups (tSHG)), as well as their ratio (PAB/tSHG) in relation to different cardiometabolic risk factors in the cohort of adult population. Additionally, we aimed to examine the joint effect of various cardiometabolic parameters on these markers, since to our knowledge, there are no studies that investigated that issue. A total of 292 participants underwent anthropometric measurements and venipuncture procedure for cardiometabolic risk factors assessment. Waist-to-height ratio (WHtR), body mass index, visceral adiposity index (VAI), and lipid accumulation product (LAP) were calculated. Principal component analysis (PCA) grouped various cardiometabolic risk parameters into different factors. This analysis was used in the subsequent binary logistic regression analysis to estimate the predictive potency of the factors towards the highest PAB and tSHG values. Our results show that triglycerides, VAI, and LAP were positively and high density lipoprotein cholesterol (HDL-c) were negatively correlated with tSHG levels and vice versa with PAB/tSHG index, respectively. On the contrary, there were no independent correlations between each cardiometabolic risk factor and PAB. PCA revealed that obesity-renal function-related factor (i.e., higher WHtR, but lower urea and creatinine) predicts both high PAB ( OR = 1.617 , 95% CI (1.204-2.171), P < 0.01 ) and low tSHG values ( OR = 0.443 , 95% CI (0.317-0.618), P < 0.001 ), while obesity-dyslipidemia-related factor (i.e., lower HDL-c and higher triglycerides, VAI, and LAP) predicts high tSHG values ( OR = 2.433 , 95% CI (1.660-3.566), P < 0.001 ). In conclusion, unfavorable cardiometabolic profile was associated with higher tSHG values. Further studies are needed to examine whether increased antioxidative capacity might be regarded as a compensatory mechanism due to free radicals’ harmful effects.

scholarly journals Nutritional Status and Cardiometabolic Risk Factors in Institutionalized Adults with Cerebral Palsy

Medicina ◽  
2019 ◽  
Vol 55 (5) ◽  
pp. 157 ◽  
Author(s):  
Aurora Norte ◽  
Coral Alonso ◽  
José Miguel Martínez-Sanz ◽  
Ana Gutierrez-Hervas ◽  
Isabel Sospedra
Keyword(s):  
Risk Factors ◽  
At Risk ◽  
Cerebral Palsy ◽  
Nutritional Status ◽  
Cardiometabolic Risk ◽  
Nutritional Assessment ◽  
Mini Nutritional Assessment ◽  
Density Lipoprotein ◽  
Cardiometabolic Risk Factors ◽  
Lipoprotein Cholesterol

Background and Objectives: Cerebral palsy (CP) is a set of permanent disorders that limit physical activity and increase the risk of developing other diseases, such as metabolic syndrome (MS). Adequate nutrition can contribute to the prevention of associated symptoms. The main objective of this study is to evaluate the nutritional status and the prevalence of cardiometabolic risk factors in adults with CP and Gross Motor Function Classification System (GMFCS) levels between IV and V. Materials and Methods: A sample of 41 adults with CP and GMFCS levels from IV to V were studied. The variables used in the study were age, sex, weight, height, mean age, and GMFCS level range. To evaluate nutritional status, body mass index and the Mini Nutritional Assessment (MNA), a nutritional screening tool, were used. To assess cardiometabolic risk, data on obesity, central obesity, blood pressure, fasting plasma glucose, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglycerides were collected. Results: More than 80% of the population studied was malnourished or at risk of malnutrition, according to the MNA tool classification ranges, and around 35% of the studied population was within the underweight range. Regarding cardiometabolic risk factors, only one adult with CP was diagnosed with MS. Conclusions: The studied population of adults with CP and GMFCS levels between IV and V is not a population at risk of MS; however, the high prevalence of malnutrition, as well as some of the most prevalent cardiovascular risk factors, should be taken into consideration.

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 of Basal Metabolic Rate and Nutrients Oxidation with Cardiometabolic Risk Factors and Insulin Sensitivity in Sedentary Middle-Aged Adults

Nutrients ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1186
Author(s):  
Francisco J. Amaro-Gahete ◽  
Lucas Jurado-Fasoli ◽  
Jonatan R. Ruiz ◽  
Manuel J. Castillo
Keyword(s):  
Risk Factors ◽  
Insulin Sensitivity ◽  
Lean Mass ◽  
Basal Metabolic Rate ◽  
Plasma Insulin ◽  
Cardiometabolic Risk ◽  
Density Lipoprotein ◽  
Cardiometabolic Risk Factors ◽  
Middle Aged ◽  
Middle Aged Adults

This cross-sectional study aimed to examine the association of basal metabolic rate (BMR) and basal fat and carbohydrate oxidation (BFox and BCHox, respectively) with cardiometabolic risk factors and insulin sensitivity in sedentary middle-aged adults. A total of 71 healthy sedentary adults (37 women) aged 40–65 years participated in the current study. Data were collected during the baseline assessments of the FIT-AGEING randomized controlled trial. BMR was measured via indirect calorimetry, and BFox and BCHox estimated by stoichiometric equations. Blood pressure, glucose, insulin, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglycerides plasma levels were selected as cardiometabolic risk factors and assessed following standard procedures. We observed positive associations of BMR with plasma insulin and the homeostatic model assessment of insulin resistance index (HOMA; all p < 0.05) which were attenuated or disappeared after controlling by sex, age, and/or lean mass. There were positive associations between BFox and the quantitative insulin sensitivity check index (QUICKI; p < 0.015), while negative associations were noted between BFox and plasma insulin and HOMA (p < 0.015). There was a significant negative association between BCHox with QUICKI (p < 0.01), whereas significant positive relationships were obtained when BCHox was associated with plasma insulin and HOMA (p < 0.01). These associations persisted in almost all cases when controlling by sex, age and/or lean mass. No further relationships were found when BMR, BFox, and BCHox were associated with other cardiometabolic risk factors. In conclusion, our study findings support that greater BFox and lower BCHox are related to improved insulin sensitivity, whereas BMR seems to be not associated with neither cardiometabolic risk nor insulin sensitivity in sedentary middle-aged adults. Further intervention studies are necessary to well-understand the physiological mechanism implied in this relationship.

scholarly journals Association of Free Sugars Intake with Cardiometabolic Risk Factors among Japanese Adults: The 2016 National Health and Nutrition Survey, Japan

Nutrients ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3624
Author(s):  
Aya Fujiwara ◽  
Emiko Okada ◽  
Chika Okada ◽  
Mai Matsumoto ◽  
Hidemi Takimoto
Keyword(s):  
Risk Factors ◽  
Cholesterol Level ◽  
Cardiometabolic Risk ◽  
Density Lipoprotein ◽  
Hdl Cholesterol ◽  
Cardiometabolic Risk Factors ◽  
Nutrition Survey ◽  
Free Sugars ◽  
Health And Nutrition ◽  
Japanese Adults

The relationship between free sugars intake and cardiometabolic risk factors is unclear in Japanese adults. This cross-sectional study aimed to investigate this association using data from the 2016 National Health and Nutrition Survey, Japan. The percentage of energy intake from free sugars was estimated based on the 1-day weighed dietary record data of Japanese men (n = 4071) and women (n = 5794) aged ≥ 20 years. Associations between free sugars intake and cardiometabolic risk factors, including body mass index (BMI), waist circumference (WC), systolic and diastolic blood pressures, glycated haemoglobin (HbA1c) level and levels of serum total, low-density lipoprotein (LDL), and high-density lipoprotein (HDL) cholesterol, were investigated using linear regression and Dunnett’s test, with the lowest category of quartiles as a reference. After adjustment for potential confounding factors, free sugars intake was inversely associated with blood pressures (men only) and HDL-cholesterol level (both sexes) and positively associated with total-cholesterol level (women only) and LDL-cholesterol level (both sexes), whereas no association was observed for BMI, WC, and HbA1c level. This study identified both positive and inverse associations of free sugars intake with cardiometabolic risk factors in Japanese adults.

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

BMJ Open ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. e025281 ◽  
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.

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.

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