{"title":"Vital Measurement of Population Quality of Life.","authors":"Е Libanova, О Gladun","doi":"10.15407/exp-oncology.2024.04.305","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The quality of life (QoL) of the population determines the economic and social (including demographic) behavior of the population. It is a complex concept that has its objective and subjective dimensions. Components of the objective measurement are the individual income of the population and the income of the state. The level of the development of an individual can be determined by the level of education (or the number of years of education). The overall indicator of the country's development is the life expectancy of its citizens.</p><p><strong>Aim: </strong>To investigate at the state level the interrelationship and interdependence of such characteristics of the QoL as the level of income, education, and life expectancy. Information Base and Methods. As an information base, we used the data from international organizations (the United Nations, the World Bank, the World Health Organization, the State Statistics Service of Ukraine) and the specialized database on mortality (Human Mortality Database) and applied general scientific and statistical research methods.</p><p><strong>Results: </strong>The relationship between life expectancy at birth and the duration of education and domestic national income was established based on the analysis of the data of 2022 for 193 countries. The conditionality of cancer mortality from the QoL was identified. Three groups of European countries different in terms of both the QoL and the level of cancer mortality were distinguished. In these groups, the specifics of the distribution of cancer-related mortality by gender and age was analyzed.</p><p><strong>Conclusions: </strong>The results of the study evidence that the mortality rate of the population depends on the quality of its life, in particular, well-being and education. The increase in well-being is reflected in the increase in the specific part of those who died from cancer. However, these deaths will peak later, ultimately contributing to population growth.</p>","PeriodicalId":94318,"journal":{"name":"Experimental oncology","volume":"46 4","pages":"305-310"},"PeriodicalIF":0.0000,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Experimental oncology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15407/exp-oncology.2024.04.305","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background: The quality of life (QoL) of the population determines the economic and social (including demographic) behavior of the population. It is a complex concept that has its objective and subjective dimensions. Components of the objective measurement are the individual income of the population and the income of the state. The level of the development of an individual can be determined by the level of education (or the number of years of education). The overall indicator of the country's development is the life expectancy of its citizens.
Aim: To investigate at the state level the interrelationship and interdependence of such characteristics of the QoL as the level of income, education, and life expectancy. Information Base and Methods. As an information base, we used the data from international organizations (the United Nations, the World Bank, the World Health Organization, the State Statistics Service of Ukraine) and the specialized database on mortality (Human Mortality Database) and applied general scientific and statistical research methods.
Results: The relationship between life expectancy at birth and the duration of education and domestic national income was established based on the analysis of the data of 2022 for 193 countries. The conditionality of cancer mortality from the QoL was identified. Three groups of European countries different in terms of both the QoL and the level of cancer mortality were distinguished. In these groups, the specifics of the distribution of cancer-related mortality by gender and age was analyzed.
Conclusions: The results of the study evidence that the mortality rate of the population depends on the quality of its life, in particular, well-being and education. The increase in well-being is reflected in the increase in the specific part of those who died from cancer. However, these deaths will peak later, ultimately contributing to population growth.