[THE THREATS OF LOSS OF LABOR POTENTIAL OF ADULT ABLE-BODIED POPULATION OF RUSSIA AND PROCEDURE OF THEIR ESTIMATION]
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.Calculating threats to labor potential loss in Russia
Area Of Science
- Public Health
- Labor Economics
- Social Medicine
Background
- The necessity for methodological development in calculating labor potential loss threats for Russia's adult population is highlighted.
- Existing publications focus on vital and labor potential loss across different age groups, indicating a gap in specific adult population analysis.
Purpose Of The Study
- To substantiate the importance of calculating labor potential loss threats for Russia's adult able-bodied population.
- To present technical methods for calculating these threats and rank the resulting indicators.
Main Methods
- Utilized report data from Rosstat and the Central Research Institute for Health Organization and Informatics.
- Incorporated data from Ministry of Labor and Social Protection Order № 585n regarding medical-social expertise criteria.
- Calculated general morbidity for the adult able-bodied population based on specific nosological forms (IV degree severity, corresponding to disability group I).
Main Results
- Identified key diseases posing the greatest threat to labor potential: hypertensive disease, ischemic heart disease, malignant neoplasms, diabetes mellitus, arthrosis, obesity, and asthma.
- Ranked calculated indicators related to the loss of labor potential.
- Developed and presented a technique for calculating the loss of labor potential.
Conclusions
- The study provides a method for assessing threats to labor potential loss in Russia's adult population.
- Findings can inform federal and regional management decisions aimed at preventing labor potential loss.
- Hypertensive disease, ischemic heart disease, and malignant neoplasms are major contributors to labor potential loss.
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.
Related Concept Videos
Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.
However, realistic environmental conditions limit the number of...
Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
Conservation of declining population focuses on ways of detecting, diagnosing, and halting a population decline. The approach uses methods to prevent populations from going extinct.
Conservation efforts often utilize scientific approaches to identify the reasons, or the agents, causing the population to decline. This approach then devises steps to remove, oppose, or neutralize the agents.
Conservation efforts may also introduce a test group to determine the probable cause of the decline. The...
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
A life table is a statistical tool that summarizes the mortality and survival patterns of a population, providing detailed insights into the likelihood of survival or death across different age intervals within a cohort. By organizing data on survival probabilities and mortality rates, life tables offer a clear snapshot of population dynamics over time. They are extensively used in demography, public health, actuarial science, and ecology to analyze life expectancy, design health interventions,...