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Introduction: Selected anthropometric indicators, such as anthropometric measurements, indices, or ratios could be reliable predictors of future cardiometabolic risk in primary prevention, especially in young adults. Aim: This study aimed to establish cardiometabolic risk status in young Eastern Slovak adults according to anthropometric indicators. Material and methods: Indicators used in this study, such as heart rate, blood pressure, five anthropometric measurements, as well as a total of 23 anthropometric indices and ratios were selected based on the available literature. These indicators were analyzed in 162 young adult participants of both sexes with a mean age of 20.78±2.22 years. The analyzed indices and ratios were calculated by routine anthropometry and were correlated with blood pressure and heart rate in the whole research group as well as among subgroups divided according to sex, obesity and hypertension status. Results: Our results showed frequently higher values of input characteristics in males (71.88%), and statistically significant differences between sexes in 81.25% of the characteristics. The values of systolic blood pressure were above the norm in all males, and they also dominated in the obesity group. Correlation analyses conducted on all participants and in subgroups indicated a positive statistical significance in several indicators. The vast majority of the anthropometric indicators were significantly correlated with physiological indicators in almost all subgroups. Only A body shape index (ABSI) correlation coefficients did not show a significant correlation with physiological indicators in all analyzed subgroups. The correlations tended to be stronger among subgroup exhibiting potential to obesity. All analyzed indices and ratios were significantly correlated (p ≤ 0.05), predominantly with blood pressure components rather than heart rate, especially in participants with the potential for disease complications than in participants without them. Conclusion: The analyzed indicators are noninvasive and useful although they may be at different levels of association and clinical significance for various conditions. Thus some of the indicators may be standardly used in the early diagnostic process for monitoring cardiovascular health and risk stratification of patients.

Neck circumference is a relatively new and promising anthropological marker with the potential to predict individual health status and future complications. In this context, the aim of our study was to analyze the neck circumferences of 115 eastern Slovakian university students and correlate them with basic individual characteristics, measurements, and indices that can inform about cardiometabolic health. Data on age, gender, body height, body weight, neck circumference, waist circumference, hip circumference, blood pressure, and heart rate were obtained using standard procedures. The indices BMI, WHR, WHtR, and BAI were calculated from the obtained data. All data were processed for descriptive statistics, a Student t-test, and Pearson correlations. Almost all of the analyzed parameters and indices revealed statistically significant differences between sexes. The male and female mean neck circumferences were 37,68 ± 2,90 cm and 31,23 ± 2,12 cm, respectively. Almost 50% of males had values of neck circumference higher than optimal, according to the WHO criterion. Some, particularly positive correlations, were statistically significant. Strong positive correlations were found between the neck circumference and variables like weight, waist circumference, hip circumference, and BMI in the whole research group and in the subgroups of males and females. Except for females' systolic blood pressure (r = 0,44; p = 0,0006), no statistically significant correlation between neck circumference and blood pressure was found. Our findings provide preliminary information about neck circumference variability and correlations with cardiometabolic indicators in a group of eastern Slovakian students, and they suggest that these findings could be used in the context of assessing cardiometabolic complications in young adults after validation in larger research groups. [ABSTRACT FROM AUTHOR]