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A mathematical model for predicting the neuropsychic stability of a cadet

Kobryanova Irina Viktorovna

PhD in Psychology

Senior researcher, Military Medical Academy

194044, Russia, St. Petersburg, Akademika Lebedeva str., 6

serziulia@gmail.com
Nazarov Sergei Sergeevich

PhD in Medicine

Senior Researcher, Research Institute of Rescue and Underwater Technologies

198411, Russia, St. Petersburg, Lomonosov, Morskaya str., 4

pochta92@mail.ru
Serova Yuliya Sergeevna

Researcher, Military Medical Academy

194044, Russia, St. Petersburg, Akademika Lebedeva str., 6

serziulia@gmail.com
Fettsova Lyutsiya Nail'evna

Junior Researcher, Military Medical Academy

194044, Russia, St. Petersburg, Akademika Lebedeva str., 6

serziulia@gmail.com
Yatmanov Aleksei Nikolaevich

PhD in Medicine

Postgraduate student, Military Medical Academy

194044, Russia, Saint Petersburg, Saint Petersburg, Akademika Lebedeva str., 6

yan20220@mail.ru
Other publications by this author
 

 

DOI:

10.25136/2409-8701.2024.6.69806

EDN:

HIRUTQ

Received:

09-02-2024


Published:

05-01-2025


Abstract: Military service is a special type of activity, in which the stress effect on a person plays a high role. The article is devoted to the study of the influence of cognitive abilities on neuropsychic stability of cadets, as one of the most controversial issues in the medical and psychological support of military personnel. The subject of the study is the influence of cognitive abilities on the neuropsychic stability of cadets. The object of the study is: 1,822 cadets of the Naval Polytechnic Institute aged 18 to 26 years with different levels of neuropsychiatric stability. The sample was divided into three parts according to the level of neuropsychiatric stability. Special attention is paid to statistical data processing as an important element of the scientific method of cognition of the world. The article provides examples of calculating a model for predicting the level of neuropsychiatric stability of the cadets. A comparative study of the cognitive abilities of cadets with different levels of neuropsychiatric stability was conducted. Mathematical modeling was carried out using discriminant analysis. Predictors of a cadet's neuropsychic stability are a combination of indicators of their cognitive development: the ability to establish logical relationships between concepts based on analysis and synthesis operations, the level of development of verbal and logical thinking; tempo characteristics of mental activity, the level of development of operational thinking and operational memory, as well as attention characteristics; the ability to transform visual images in space, the level of development of spatial-figurative thinking. It is shown that the level of communication abilities increases from low to high neuropsychiatric stability. At the same time, the differences between the indicators of cadets with high neuropsychological stability differ significantly compared with cadets with medium and low, the differences between groups with low and medium stability are determined at the trend level. A model for predicting the level of neuropsychic stability was obtained: Wilkes Lambda: 0.95595 approx. F (6.3634)=13.799 p


Keywords:

cognitive abilities, neuropsychic stability, serviceman, cadet, medical and psychological support, forecast, mathematical model, influence, stress, sustainability

This article is automatically translated.

Military service is a special type of activity, in which stress plays a high role on a person [10, 12]. Overcoming stressful situations is determined by the level of neuropsychiatric stability [1, 13].

The issues of neuropsychiatric stability are represented by scientific works, both by foreign psychologists, teachers, and domestic ones. Thus, according to a foreign psychologist, teacher E.V. Melnik, NPU is a set of component individualization of psychological and pedagogical training of a person [8]. According to L.I. Spivak– it manifests itself in a tendency to breakdowns in the activity of the nervous system under significant mental and physical stress [2]. The author sees the reason in the obvious or hidden violations of the emotional and volitional sphere, as well as in the intellectual self-regulation of a person. Some scientists claim that NPS is frustration tolerance or stress tolerance [14].

V.V. Yusupov compares neuropsychiatric stability with a characteristic that determines the state of a stable level of development of cognitive mental processes, emotional-volitional regulation and behavioral reactions in the process of professional activity [16]. NPU is defined as a person's ability to regulate their interaction with their environment, as well as act purposefully in this environment [7, 17]. The main elements of the NPU include: self-esteem, the level of emotional stability, the presence of social approval from the people around him [5]. The influence of cognitive abilities on a person's neuropsychiatric stability is of interest [11], which was the purpose of the study.

The purpose of the work: to develop a mathematical model for predicting neuropsychiatric stability based on the characteristics of the cadet's cognitive abilities.

Materials and methods. 1822 cadets of the Naval Polytechnic Institute aged from 18 to 26 years were examined. The level of neuropsychiatric stability was determined using the MLO "Adaptivity" technique [3]. Military personnel with an NPS level of more than 7 walls (n=565) were assigned to the "High NPS" group, from 4 to 7 walls (n=1186) – to the "Medium NPS" group, 71 surveyed were assigned to the "Low NPS" group with a level of less than 4 walls [15]. Cognitive abilities were assessed using the KR – 3 – 85 technique [6].

Statistical processing was carried out using the Statistica 10.0 program. The normality of the distribution was checked using the Kolmogorov-Smirnov criterion. Comparative analysis using the parametric t-Student criterion. When conducting multiple comparisons, the Bonferroni correction was applied, that is, in three groups, differences in p were considered statistically significant.<0,017 (0,05/3=0,017) [4]. Mathematical modeling was carried out on the basis of discriminant analysis [9].

The results and their discussion. When conducting discriminant analysis using the "step-by-step forward" method, a model for predicting the level of neuropsychiatric stability of a cadet was obtained: Wilkes Lambda: 0.95595 approx. F (6.3634)=13.799 p<0.0001 and the discriminant variables are determined (Table 1).

Table 1

Discriminant variables

Indicator

Wilkes Lambda

Private Lambda

F-excluded (2.18)

p-levels.

Toler.

1-toler. (R-sq.m.)

Analogies

0,9700

0,9855

13,3998

0,0000

0,8299

0,1701

Arithmetic counting

0,9619

0,9938

5,6820

0,0035

0,8559

0,1441

"Cubes"

0,9607

0,9950

4,5311

0,0109

0,8957

0,1043

It was revealed that the combination of cognitive development indicators is a predictor of neuropsychiatric stability of military university cadets.: the ability to establish logical relationships between concepts based on analysis and synthesis operations, the level of development of verbal and logical thinking - the analogy subtest (AN); tempo characteristics of mental activity, the level of development of operational thinking and operational memory, as well as the characteristics of attention – the arithmetic counting subtest (AS); the ability to transform visual images in space, The level of development of spatial-figurative thinking is the "cubes" (K) subtest.

It is shown that the level of communication abilities increases from low to high neuropsychiatric stability. At the same time, the differences between the indicators of high NPS differ significantly (p<0.017) compared with the average and low severity, the differences between the groups with low and medium resistance are determined at the trend level (0.017<r<0.05) (Table 2).

Table 2

Comparative analysis of discriminant variables, (x±s)

Indicator

Low NPU

The average NPU

High NPU

Analogies

5,91±1,8

6,37±1,9*

6,95±2,0**

Arithmetic counting

5,77±1,6

6,18±1,7*

6,74±1,7**

"Cubes"

5,65±2,0

6,16±2,1*

6,65±2,1**

Notes: *p 0.017 <r<0.05 with the "Low NPU" group

** p<0.017 with the "Medium NPU" and "Low NPU" groups

Based on a discriminant model for predicting the level of neuropsychiatric stability of a cadet, the examined person belongs to one of three groups.

The components of the classification functions: variables and coefficients for variables, constants of three LCFS, to determine the prognosis of the level of neuropsychiatric stability of the cadet are presented in Table 3.

Table 3

Classification functions for predicting the level of neuropsychiatric stability of a cadet

Indicators

Coefficients

LKF-1

Low NPU

LKF-2

The average NPU

LKF-3

High NPU

Analogies

1,3509

1,409

1,5232

Arithmetic counting

0,9796

1,056

1,1434

"Cubes"

0,7689

0,8849

0,9412

The constant

-10,6239

-12,6323

-13,413

The discriminant model has a predictive ability of 68%, while none of the observations from the medium and high NPS groups were misdiagnosed as low NPS. In the low NPS group, 53.5 cadets were correctly identified, which suggests that this model is most effectively able to identify cadets in this group in order to carry out corrective measures with them (Table 4).

Table 4

Accuracy of recognition of the cadet's neuropsychiatric stability forecast (basic calculation)

Stability

Recognition accuracy, %

Number of examined persons

Low NPU

The average NPU

High NPU

Low NPU

89,63

0

1063

123

The average NPU

53,52

38

33

0

High NPU

24,42

0

427

138

Total

68,00

38

1523

261

The algorithm for determining the prediction of the level of neuropsychiatric stability of a cadet is shown in Figure 1.

Fig. 1. Algorithm for determining the prediction of the level of neuropsychiatric stability of a cadet

To determine the forecast of the level of neuropsychiatric stability of a cadet, calculations are performed using all available formulas, the group whose results are the largest and is the desired one. This procedure is standard for linear classification functions.

(LCF-i)max= Low NPU (1), Medium NPU (2), High NPU (3).

Example 1. The following indicators were determined for the subject: An = 9, AC = 9, K = 8. When calculating the formulas LKF-1 = 17.025; LKF-2 = 15.209; LKF-3 = 18.116. The maximum number corresponds to the calculation of the formula for LKF-3, thus, the examined person is predicted to have high neuropsychiatric stability.

Example 2. The following indicators were determined for the subject: An = 6, AC = 7, K = 6. When calculating the formulas LCF-1 = 7.2923; LCF-2 = 9.5829; LCF-3 = 9.3772. The maximum number corresponds to the calculation of the formula for LCF-2, thus, the examined person is predicted to have average neuropsychiatric stability.

Example 3. The following indicators were determined for the subject: An = 4, AC = 4, K = 3. When calculating the formulas LCF-1 = 1.2372; LCF-2 = -0.75; LCF-3 = 0.077. The maximum number corresponds to the calculation of the formula for LCF-1, thus, the examined person is predicted to have low neuropsychiatric stability.

Conclusions.

1. Predictors of the neuropsychiatric stability of military personnel are a combination of indicators of cognitive development: the ability to establish logical relationships between concepts based on analysis and synthesis operations, the level of development of verbal and logical thinking; tempo characteristics of mental activity, the level of development of operational thinking and operational memory, as well as the characteristics of attention; the ability to transform visual images in space, the level of development of spatial-figurative thinking.

2. A model for predicting the level of neuropsychiatric stability was obtained: Wilkes Lambda: 0.95595 approx. F (6.3634)=13.799 p<0.0001, predictive ability of 68%, which allows it to be used in medical and psychological support activities for military university cadets.

References
1. Agafonov, P.V., Khalimov, Yu.Sh., Gaiduk, S.V., & Kryukov, E.V. (2021). The influence of psychological characteristics of military personnel on adaptation to the conditions of the Far North. Marine Medicine, 3, 41-48.
2. Berg, T.N. (2005). Neuropsychic stability and ways to identify it. Vladivostok: Mor. state Univ.
3. Bily, A.M., & Vasilkov, A.M. (2018). Psychophysiological predictors of human-system integration on modern ships of the Russian Navy. Marine Medicine, 3, 64-74.
4. Grzhibovsky, A.M., Gorbatova, M.A., Narkevich, A.N., & Vinogradov, K.A. (2020). Necessary sample size to compare average values in two paired groups. Marine Medicine, 4, 82-88.
5. Zabrodsky, D.S., Zaitsev, A.G., & Soshkin, P.A. (2022). Fundamental principles of ensuring individual health: a review. Marine Medicine, 3, 7-21.
6. Kolyakin, V.V., Baurova, N.N., & Zun, S.A. (2015). Optimization of mass psychoprophylactic examinations of cadets of military universities. Marine Medicine, 4, 9-12.
7. Kochubeynik, N.V., Stepanov, V.A., Sklyarov, V.N., Linkenko, S.N., & Karakhanyan, K.S. (2022). The use of innovative barotherapeutic agents in the correction of borderline functional states of persons in hazardous professions. Marine Medicine, 1, 38-43.
8. Melnik, E.V., & Silich, E.V. (2009). Neuropsychic stability as a component of individualization of psychological training of athletes. Bulletin of the Grodno University Yanka Kupala. Series 3. Physiology, pedagogy, psychology, 3(88), 138-142.
9. Mitkina, E.A., Kozlova, Yu.G., Gorbatova, M.A., & Grzhibovsky, A.M. (2023). Analysis of the reliability of assessing dichotomous outcomes: sample size and calculation of kappa statistics. Marine Medicine, 3, 102-112.
10. Mosyagin, I.G. (2023). The role and place of marine medicine. Marine medicine, 3, 7-12.
11. Osipova, A.A., & Tyurbeeva, D.S. (2023). Psychological features of coping behavior of military personnel. Living Psychology, 1(41), 15-23.
12. Rakhmanov, R.S., Bogomolova, E.S., Razgulin, S.A., & Spirin, S.A. (2023). Assessment of the reaction of the body of seafarers during work at sea using integral health indicators: a cohort study. Marine Medicine, 3, 56-63.
13. Tyagnerev, A.T., Bezkishkiy, E.N., Lobozova, O.V., Stepanov, V.A., Linkenko, S.N., Afendikov, S.G., & Karakhanyan, K.S. (2019). The problem of monitoring the functional state and performance of naval personnel of the Navy in the process of professional activity. Marine Medicine, 4, 74-83.
14. Kholmatova, K.K., Kharkova, O.A., Gorbatova, M.A., & Grzhibovsky, A.M. (2022). Hybrid research in medicine and healthcare. Marine medicine, 3, 105-117.
15. Fertikova, T.E. (2019). The state of health of students and health-preserving technologies: regional experience of Russian universities. Marine Medicine, 2, 34-44.
16. Chermyanin, S.V., Korzunin, V.A., & Yusupov, V.V. (2008). Methodological aspects of diagnosing neuropsychic instability among specialists in extreme activities. Medical-biological and social-psychological problems of safety in emergency situations, 6, 49-54.
17. Chernyavsky, E.A., Zelenina, N.V., Yusupov, V.V., & Grigorov, A.V. (2022). The use of modern psychophysiological hardware and software systems in predicting resistance to combat stress. Proceedings of the Russian Military Medical Academy, 3, 277-282.

First Peer Review

Peer reviewers' evaluations remain confidential and are not disclosed to the public. Only external reviews, authorized for publication by the article's author(s), are made public. Typically, these final reviews are conducted after the manuscript's revision. Adhering to our double-blind review policy, the reviewer's identity is kept confidential.
The list of publisher reviewers can be found here.

This article is made on an interesting topic, since attempts to mathematically model forecasts of neuropsychiatric stability should be, first of all, of practical importance. Therefore, in relation to such topics, it is very important to justify the relevance, which allows you to interest a potential reader. However, the text submitted for review does not substantiate the relevance of the stated research topic. Accordingly, it is not entirely clear why a mathematical model for predicting the neuropsychiatric stability of a cadet is needed. Attention has not been paid to this important circumstance. The author simply writes about the neuropsychic stability of cadets, about military service, etc. At the same time, he refers to other authors from the first sentence. Although without references, it is clear that "military service is a special type of activity, in which the stress effect on a person plays a high role." Nothing is said about mathematical modeling in the introduction. It is simply stated that "NPU is defined as the ability of a person to regulate his interaction with his environment, as well as to act purposefully in this environment." That is, it is obvious that the relevance of the research on the stated topic is clearly insufficiently justified. In addition, the purpose of the study is unclear, or, as it is written, the "purpose of the work" is "to assess the impact of cognitive abilities on the neuropsychic stability of military personnel." There is no indication of any relationship between the need for mathematical modeling of the prognosis of the neuropsychic stability of the cadet and his cognitive abilities. The introduction to this text is not structured. It also lacks information about the subject of the study, so the text is perceived as non-objective. But it is the subject of the study that makes it possible to understand what the study is about. There is also no justification for scientific novelty, and there is also nothing about the research methodology (theory, concept, or at least principles). The author writes that "the most debatable issue is the influence of cognitive abilities on a person's neuropsychiatric stability," but this statement is groundless. There is no reasoned explanation in this regard in the text. The whole introduction is generally very concise. The text needs to be finalized. The style of the text is concise and insufficiently reasoned. The fragmentary presentation of both theoretical information and actual data is noticeable. The structure of the work does not meet the logical requirements that a scientific article should meet. It needs to be adjusted. The content of the article indicates that the author has done a lot of work. 1822 cadets were examined. Methods for determining neuropsychic stability have been applied. Mathematical modeling is based on discriminant analysis, as stated in the text. However, attention is drawn between the stated research methods ("the level of neuropsychiatric stability was determined using the MLO "Adaptability" technique) and those presented, for example, in Tables 1-3. These tables show completely different indicators obtained using the methods of "Cubes", "Analogies", "Arithmetic calculation". Why is that? Based on the data in Table 1, the author argues that the predictors of neuropsychic stability of military university cadets are a combination of indicators of cognitive development: the ability to establish logical relationships between concepts based on analysis and synthesis operations, the level of development of verbal and logical thinking - analogy subtest (AN); tempo characteristics of mental activity, the level of development of operational thinking and operational memory, as well as attention characteristics – arithmetic counting subtest (AS); the ability to transform visual images in space, The level of development of spatial-imaginative thinking is the "cubes" subtest (K). But this conclusion does not follow from the data in Table 1. In any case, a convincing explanation is needed. Attention is drawn to the author's desire to operate with cognitive criteria. However, the logic of applying these criteria is not entirely clear. In addition, their quantitative indicators are not visible in the text. It is also not clear on the basis of what the author was able to systematize neuropsychic stability by three degrees of severity (Table 2). It is simply stated that "on the basis of a discriminant model for predicting the level of neuropsychic stability of a cadet, the examined person belongs to one of three groups." And where is this model that would allow us to clearly see the differences between the three groups indicated in Table 2? In this regard, the author provides some explanation, noting that in order to determine the forecast of the level of neuropsychic stability of a cadet, calculations are made using all available formulas, the group whose results are the largest and is the desired one. Both the formulas and the algorithm are given in the form of Fig. 1. This is all right. But not enough. For greater persuasiveness, the potential reader should be given a more extended argument about these formulas. Where did they come from? It is necessary to answer at least this question. Examples are given, this is correct. But explanations are necessary. Otherwise, there is no way to understand why "the discriminant model has a predictive ability of 68%"? Should I believe the author? It's not accepted anymore. Or, for example, a question about the second conclusion: "A model for predicting the level of neuropsychic stability has been obtained: Wilkes Lambda: 0.95595 approx. F (6.3634)=13.799 p<0.0001, a predictive ability of 68%, which allows it to be used in medical and psychological support activities for military university cadets." The same question again. That is, there are contradictions in the text that require clarification. It is advisable to supplement the bibliographic list with sources that go beyond the scope of works on marine medicine. After finalizing the text, this article can be recommended for publication in a scientific journal.

Second Peer Review

Peer reviewers' evaluations remain confidential and are not disclosed to the public. Only external reviews, authorized for publication by the article's author(s), are made public. Typically, these final reviews are conducted after the manuscript's revision. Adhering to our double-blind review policy, the reviewer's identity is kept confidential.
The list of publisher reviewers can be found here.

The subject of the research in the presented article is a mathematical model for predicting the neuropsychic stability of a cadet. As the methodology of the subject area of research in this article, the descriptive method, the method of categorization, the method of analysis were used, as well as special techniques were used during the study. In particular, the level of neuropsychiatric stability was determined using the MLO "Adaptability" technique. Military personnel with an NPU level of more than 7 walls (n=565) were assigned to the "High NPU" group, from 4 to 7 walls (n= 1186) – to the "Medium NPU" group, 71 surveyed were assigned to the "Low NPU" group with a level of less than 4 walls. Cognitive abilities were assessed using the KR – 3 – 85 technique. Statistical processing was carried out using the Statistica 10.0 program. The normality of the distribution was checked using the Kolmogorov-Smirnov criterion. Comparative analysis using the parametric t-Student criterion, when conducting multiple comparisons, the Bonferroni correction was used, that is, in three groups, differences in p were considered statistically significant<0,017 (0,05/3=0,017). Mathematical modeling was carried out on the basis of discriminant analysis. The relevance of the article is beyond doubt, since military service is a special type of activity, in which the stress effect on a person plays a high role. Overcoming stressful situations is due to the level of neuropsychiatric stability (NPD). The issues of neuropsychiatric stability are presented by scientific works of both foreign psychologists, teachers, and domestic ones. So, according to a foreign psychologist, teacher E.V. Melnik, the NPU is a set of component individualization of psychological and pedagogical training of a person. According to L.I. Spivak, it manifests itself in a tendency to disruptions in the activity of the nervous system with significant mental and physical stress. The author sees the reason in the obvious or hidden violations of the emotional and volitional sphere, as well as in the intellectual self-regulation of a person. Some scientists claim that NPAs are frustration tolerance or stress tolerance. The scientific novelty of the research lies in the development of a mathematical model for predicting neuropsychic stability based on the characteristics of the cadet's cognitive abilities. 1822 cadets of the Naval Polytechnic Institute aged 18 to 26 years were examined. The article is written in the language of scientific style with the competent use in the text of the study of the presentation of various positions on the studied problem and the application of scientific terminology and definitions, as well as a description of the methods used. The structure is designed taking into account the basic requirements for writing scientific articles, the structure of this study includes an introductory part, materials and methods, results and their discussion, conclusions, bibliography. The content of the article reflects its structure. Especially valuable in the content of the study is the algorithm graphically presented in Figure 1 for determining the prediction of the level of neuropsychiatric stability of a cadet. To determine the prognosis of the level of neuropsychic stability of the cadet, a calculation method is proposed for all available formulas, the group whose results are the largest and is the desired one. This procedure is standard for linear classification functions. Examples of calculations are also demonstrated. The bibliography contains 17 sources, including domestic periodicals and non-periodicals. The article describes various positions and points of view of well-known scientists characterizing approaches and various aspects to understanding neuropsychiatric stability, and also contains an appeal to various scientific works and sources devoted to this topic, which is included in the circle of scientific interests of researchers dealing with this issue. The presented study contains brief conclusions concerning the subject area of the study. In particular, it is noted that predictors of the neuropsychic stability of military personnel are a combination of indicators of cognitive development: the ability to establish logical relationships between concepts based on analysis and synthesis operations, the level of development of verbal and logical thinking; tempo characteristics of mental activity, the level of development of operational thinking and operational memory, as well as attention characteristics; the ability to transform visual images in space, the level of development of spatial-figurative thinking. A model for predicting the level of neuropsychic stability was obtained: Wilkes Lambda: 0.95595 approx. F (6.3634)=13.799 p<0.0001, the prognostic ability is 68%, which allows it to be used in medical and psychological support activities for military university cadets. The materials of this study are intended for a wide range of readership, they can be interesting and used by scientists for scientific purposes, teaching staff in the educational process, heads of military educational organizations, medical professionals, psychologists. As disadvantages of this study, it should be noted that when making tables and figures in the text of the article, it is necessary to pay attention to compliance with the requirements of the current GOST, as well as when making a bibliographic list - to the requirements of the current GOST for bibliographic descriptions. It would also be advisable to include a brief conclusion in the structure of the article, and not only the conclusions of the study. These disadvantages do not reduce the high scientific and practical significance of the research itself, but rather relate to the design of the text of the article. It is recommended to publish the article.