Reduction of excessive alcohol consumption still remains a significant challenge to the actions in the scope of public health of European citizens. The aim of this study is to present the prevalence of alcohol consumption and to estimate the occurrence of risky drinking among college students from the Polish, Slovak, Romanian, and Ukrainian parts of the Carpathian Euroregion, taking social contexts into account. The consumption of alcohol was estimated on the basis of the respondents’ statements regarding the quantity and frequency of their consumption of beer, wine, and vodka. The study included people from the first year of undergraduate studies. The analysis used the Chi-square independence test and odds ratios (ORs). There were significant differences in the frequency of alcohol consumption, as well as the individual types consumed, among the respondents from the analyzed countries. Of the examined college students, 70% admit to occasional drinking. The pattern of dangerous alcohol consumption occurs in the case of approximately every seventh person. Risky drinking occurs with much greater frequency among male students rather than their female counterparts. In Romania, a very small percentage of female students engage in risky drinking. The analysis did not show statistically significant differences in the frequency of risky drinking between countries. The coexistence of other adverse health behaviors, such as smoking and alcohol abuse, was confirmed.

This study presents mathematical models for predicting VO₂max based on a 20 m shuttle run and anthropometric parameters. The research was conducted with data provided by 308 young healthy people (aged 20.6 ± 1.6). The research group includes 154 females (aged 20.3 ± 1.2) and 154 males (aged 20.8 ± 1.8). Twenty-four variables were used to build the models, including one dependent variable and 23 independent variables. The predictive methods of analysis include: the classical model of ordinary least squares (OLS) regression, regularized methods such as ridge regression and Lasso regression, artificial neural networks such as the multilayer perceptron (MLP) and radial basis function (RBF) network. All models were calculated in R software (version 3.5.0, R Foundation for Statistical Computing, Vienna, Austria). The study also involved variable selection methods (Lasso and stepwise regressions) to identify optimum predictors for the analysed study group. In order to compare and choose the best model, leave-one-out cross-validation (LOOCV) was used. The paper presents three types of models: for females, males and the whole group. An analysis has revealed that the models for females ( ${\mathit{RMSE}}_{CV}=4.07$ mL·kg⁻¹·min⁻¹) are characterised by a smaller degree of error as compared to male models ( ${\mathit{RMSE}}_{CV}=5.30$ mL·kg⁻¹·min⁻¹). The model accounting for sex generated an error level of ${\mathit{RMSE}}_{CV}=4.78$ mL·kg⁻¹·min⁻¹.

Ozimek, M, Krawczyk, M, Zadarko, E, Barabasz, Z, Ambroży, T, Stanula, A, Mucha, DK, Jurczak, A, and Mucha, D. Somatic profile of the elite boulderers in Poland. J Strength Cond Res 31(4): 963–970, 2017—The study was designed to determine the values of selected somatic characteristics, body proportions, and the somatotype of elite bouldering climbers in Poland and to establish the relationships between the values of the somatic characteristics and climber's performance in bouldering. The study was conducted in a group of elite sport climbers (n = 10) who were ranked by the Polish Mountaineering Association in 2011, 2012, and 2013. The anthropometric measurements were made according to the relevant rules and standards. The results were used to calculate the values of somatic variables and body proportion indices for the climbers and to establish their somatotype. The results were compared with the data on untrained students (n = 165). The boulderers were found to differ significantly from the controls regarding body height (p < 0.01), body mass (p ≤ 0.05), body density (p < 0.01), fat mass percentage (FM%) (p < 0.01), fat mass (FMkg) (p < 0.01), lean body mass (p ≤ 0.05), arm span (p ≤ 0.05), and leg length (p < 0.01). Body proportions in the groups significantly differed in the arm length index (p < 0.01), arm-to-leg length ratio (p < 0.01), and in the indices of the forearm (p < 0.01), thigh (p < 0.01), and lower leg (p ≤ 0.05) muscles. With regard to the somatotypes of the analyzed groups, the biggest differences were observed for the levels of mesomorphy (NS) and endomorphy, the latter being statistically significant (p < 0.01). The strongest and significant correlations between the competitive level of the climbers and the values of their somatic characteristics were established for FM% (r = −0.81), fat mass (in kilograms) (r = −0.82), body density (r = 0.81), endomorphy (r = −0.74), arm length (r = 0.77), and the arm length index (r = 0.80). The results of linear regression showed that the competitive level of a bouldering climber was significantly explained (p < 0.01) by fat mass (in kilograms) and the value of the arm length index. A high level of performance in bouldering is related to small stature (an ecto-mesomorph somatotype) and a low body fat percentage (low endomorphy). Regarding body proportions, greater than average arm length to body height ratio and well-developed musculature of the limbs are required for a boulderer to perform on a competitive level. High arm length index and low body fat percentage represent the strongest determinants of performance in bouldering. It can be assumed that arm length index has a high diagnostic value for recruitment and selection of climbers.

Adequate folic acid supplementation during the preconception period is an important element in the primary prevention of neural tube defects (NTDs). This study aims to study the effectiveness of folic acid supplementation recommendations among women of childbearing age, and to assess and characterise their awareness about this public health measure. The cross-sectional study included women (N = 1285) aged 22.27 ± 4.6 years old on average. Some of the results were obtained on a subgroup of women (N = 1127) aged 21.0 ± 2.1. This study was performed using a questionnaire. The analysis was performed with the use of a logistic regression model, chi-square test for independence and odds ratio (OR). According to the results, only 13.9% of women supplement folic acid, and 65.3% of them do so daily. A total of 91.1% of the respondents were not aware of its recommended dose and 43% did not know the role it plays in the human body. Among women who do not currently supplement folic acid (N = 1052), 52.4% declared doing so while planning their pregnancy. Women’s awareness about the role of folic acid in NTD prevention (OR = 4.58) and the information they got from physicians (OR = 1.68) are key factors that increased the odds of the women taking folic acid before pregnancy. There is therefore a need for more information and education campaigns to raise awareness about folic acid.

Body fat (BF) and cardiorespiratory fitness (CRF) are important health markers that ought to be considered in screening exams. The aim of this study was to assess the value of six indicators, i.e., tri-ponderal mass index (TMI), relative fat mass (RFM), waist–BMI ratio, waist-to-height ratio (WHtR), waist-to-hip ratio (WHR) and body mass index (BMI) in predicting CRF in school-aged children. The analysis was based on the data coming from the examination of 190 children participating in school physical education (PE) classes. Their body weight (BW) and height (BH), waist and hip circumference (WC; HC) and percentage of body fat (%BF) were measured; the CRF test was performed with the use of the 20 m shuttle run test (20 mSRT); peak heart rate (HRpeak) was measured; TMI, relative fat mass pediatric (RFMp), waist–BMI ratio, WHtR, BMI and WHR were calculated. Statistical analysis was mainly conducted using regression models. The developed regression models, with respect to the sex and age of the children, revealed RFMp as the strongest CRF indicator (R² = 51.1%) and WHR as well as waist–BMI ratio as the weakest ones (R² = 39.2% and R² = 40.5%, respectively). In predicting CRF in school-aged children, RFMp turned out to be comparable to body fat percentage obtained by means of the bioimpedance analysis (BIA) (R² = 50.3%), and as such it can be used as a simple screening measure in prophylactic exams of school children. All of these models were statistically significant (p < 0.001).