Influence of environment on aging of living systems: A mathematical model

Viktorov, A. A.; Kholodnov, V. A.; Gladkikh, V. D.; Alekhnovich, A. V.

doi:10.1134/s2079057013040103

Cited by 8 publications

(2 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Kinetic theory of aging of living systems (LS) considers the human life cycle as time interval during which a biological aging process occurs [20,21]. Aging is characterized numerically by change in the probability of human's death from D=0 (birth) to D=1 (the probability of an unavoidable physiological fact of death).…”

Section: Methodsmentioning

confidence: 99%

Untitled

2020

GGS

View full text Add to dashboard Cite

The possibility of applying the kinetic theory of aging of biological species published earlier by the authors of this work to assess and predict changes in the number of specific populations is evaluated. The populations of the USA, China and Russia, as well as the population of mice observed in the experiment "Mouse paradise" of the American scientist John Calhoun are considered. To this end, a historically consistent analysis of the main previously proposed multi-scenario mathematical models describing demographic data and predicting the dynamics of the population was performed. The results of these models show a decrease in the population growth rate, a tendency toward a limit with an increase in historical time, the achievement of such a limit in some developed countries with a relatively high level of social security, a subsequent decrease in the number and further uncertainty of the final population outlook in the distant future. In addition, these models made it possible to establish that the observed population growth in developed countries is unambiguously accompanied by its aging-a relative predominant increase in the number of elderly people compared to the number of the younger generation (people are aging, the population of countries is aging).In this work, the assumption was made and confirmed that the dynamics of the aging of the population of the countries of the World corresponds to the dynamics of aging of a person of one generation and is mathematically described by the differential equation of the kinetic theory of aging of living systems of the same type with close values of the parameters. The biophysical meaning of the parameters of the kinetic equation reflects Selye's G [1] concept of the determining role of stress in human life and populations. An analysis of the changes in the numbers of the considered populations of humans and mice at various stages of their development is qualitatively commented on from the standpoint of comparative tension according to Selye G [1]. To assess the degree of aging of a biological object of one population in kinetic theory, the probability of death during life is selected as an indicator of aging. In this work, the probability of reaching the maximum population size was chosen as an indicator of the aging of a biological object of various populations. The published literature predicts various options for changing the population after reaching a maximum maintaining the reached maximum level and decreasing to a certain limit, less than the maximum achieved. In this paper, based on an analysis of its results and an analogy with the complete degeneration of mice in the "Mouse Paradise" experiment, a conclusion is drawn about a hypothetically possible third variant of the limiting decrease in the population-its complete degeneration.

show abstract

Section: Methodsmentioning

confidence: 99%

Untitled

2020

GGS

View full text Add to dashboard Cite

show abstract

“…Specifically, information data are transformed from basic to in-depth and from rough adjustment to high precision so that more meaningful and usable information can be obtained from simple numbers to solve practical problems in life. It is also a process of integrating theory with practice [10,11]. e establishment of mathematical models is diverse, and it has been extensively used in various industries, such as medicine and education [12,13].…”

Section: Introductionmentioning

confidence: 99%

Risk Factors of Enterostomy Infection Caused by Bacterial Infection through Mathematical Modelling-Based Information Data Analysis

Liu

Chen

2021

Journal of Healthcare Engineering

View full text Add to dashboard Cite

Objective. The study aimed to explore the risk factors of infections after enterostomy through the information data analysis method based on a mathematical model. Methods. 156 cases of enterostomy patients admitted to the hospital were retrospectively selected as the study subjects and were divided into the infection group (17 cases) and normal group (139 cases) according to whether they were complicated with infections. Then, the factors of infection and related indexes before and after surgery were analyzed, and the data of the whole hospital were estimated by mathematical modelling. Results. The length of hospital stay in the infection group was 21 ± 11.2 days, which is longer than 10.1 ± 7.1 days in the normal group ( P < 0.05). The incidence of anastomotic fistula in the infection group was 14%, which is higher than 2% in the normal group. The mortality rate of infection group (44%) was higher than that of normal group (5%). In the infection group, the incidence of single-cavity stoma (69%) was higher than that of double-cavity stoma (31%), the nosocomial infection rate (11%) was significantly higher compared with out of hospital (2%), and there were significant differences ( P < 0.05). Conclusions. Patients with malnutrition and hypoproteinemia before enterostomy, the use of gastric tube and ventilator in the treatment, single lumen stomy in the operation, and the occurrence of anastomotic fistula were more likely to have concurrent infections.

show abstract