Econometric predictive model for assessing the functional state of students during the examination period: a cross-sectional exploratory pilot study

I. S. Knyazhev, L. V. Karaulova, O. V. Reztsov, A. P. Spitsin
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Abstract

Background . Mathematical modeling is widely used in medicine to analyze the body systems in terms of their structure, work and interrelations. The present study investigates factors associated with the adaptation potential of the cardiovascular system, develops multiple regression models for the dependence of the adaptive potential on these factors, and compares the significance of the linear model with non-linear ones. Objectives. To determine changes in the circulatory system in students during the examination period and develop a mathematical model for predicting the adaptive potential of the cardiovascular system. Methods . The cohort observational study enrolled 74 students of Kirov State Medical University, aged 18–23 years, who gave consent to the survey. The participants were divided into two cohorts depending on the dominant type of the autonomic nervous system (group 1 — individuals with the dominance of sympathetic part of the peripheral division of the autonomic nervous system (n = 54) and group 2 — individuals with vagotonic type of regulation (n = 20)). The relationship between the hemodynamic parameters and the initial autonomic tone was considered as the main relevancy criterion of the study. Comparative analysis of hemodynamic parameters depending on the dominant type of autonomic nervous system was carried out in the cohorts. Development of the regression model was based on 74 observations. Data description included median (Me) and interquartile range representing 25th and 75th percentiles. The indicators in independent samples (cohorts) were compared using the non-parametric Mann—Whitney U test. Correlation analysis of relationships between the studied variables involved Spearman’s criterion (r). Differences and correlations were considered significant at p = 0.05. Calculations and analyses were performed using spreadsheets in Statistica Advanced 10 for Windows RU (Statsoft, Russia). Results. The state of the cardiovascular system significantly depends on the dominant type of the autonomic nervous system. Such parameters as stroke volume, cardiac index, cardiac minute output, circulatory efficiency were established to be significantly higher, whereas diastolic blood pressure, mean arterial pressure, cardiovascular index — lower in individuals with activation of the sympathetic part of the autonomic division of the peripheral nervous system. The study revealed significant correlations between the parameters of central hemodynamic and anthropometric parameters depending on the dominant type of the autonomic nervous system. Conclusion . Significant differences of hemodynamic parameters depending on the dominant type of autonomic system indicate the relevance of neurohumoral mechanisms of cardiovascular regulation. The values in adaptive potential exceeded 2.0 points, indicating the stress of the cardiovascular adaptation. The correlation regression analysis showed the greatest significance of the multiple linear regression model developed by the authors for predicting the adaptive potential of the cardiovascular system.
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评估学生考试期间功能状态的计量经济学预测模型:一项横断面探索性试点研究
背景。数学建模在医学上广泛应用于分析人体系统的结构、工作和相互关系。本研究探讨了心血管系统适应潜力的相关因素,建立了适应潜力与这些因素的依赖关系的多元回归模型,并比较了线性模型与非线性模型的显著性。目标。确定学生在考试期间循环系统的变化,并建立预测心血管系统适应潜力的数学模型。方法。这项队列观察研究招募了74名基洛夫国立医科大学18-23岁的学生,他们同意接受调查。根据自主神经系统的主导类型,参与者被分为两组(1组-自主神经系统外周分裂交感部分主导的个体(n = 54)和2组-迷走神经性调节类型的个体(n = 20))。血流动力学参数与初始自主神经张力之间的关系被认为是研究的主要相关性标准。在队列中,根据自主神经系统的主要类型对血流动力学参数进行比较分析。回归模型的建立基于74个观测值。数据描述包括中位数(Me)和四分位数范围,分别代表第25和75百分位。独立样本(队列)的指标采用非参数Mann-Whitney U检验进行比较。研究变量之间关系的相关分析采用Spearman标准(r)。p = 0.05时认为差异和相关性显著。使用Statistica Advanced 10 for Windows RU (Statsoft, Russia)中的电子表格进行计算和分析。结果。心血管系统的状态在很大程度上取决于自主神经系统的主导类型。如中风量,心脏指数,心脏分钟输出量,循环效率等参数被确定为显着较高,而舒张压,平均动脉压,心血管指数-在激活周围神经系统自主神经分裂的交感部分的个体较低。该研究揭示了中枢血流动力学参数和人体测量参数之间的显著相关性,这取决于自主神经系统的主要类型。结论。根据自主神经系统的主要类型,血流动力学参数的显著差异表明心血管调节的神经体液机制的相关性。适应电位超过2.0分,表明心血管适应压力较大。相关回归分析表明,作者建立的多元线性回归模型对预测心血管系统的适应电位具有最大的意义。
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CiteScore
0.10
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0.00%
发文量
37
审稿时长
8 weeks
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