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Life expectancy in relation to societal development level: significant discordant factors
M. Stiperski Matoc, Z. Stiperski, L. Matoc, L. Valožić
Language English Country Czech Republic
Document type Journal Article
Digital library NLK
Source
NLK
Free Medical Journals
from 2004
ProQuest Central
from 2009-03-01 to 6 months ago
Medline Complete (EBSCOhost)
from 2006-03-01 to 6 months ago
Nursing & Allied Health Database (ProQuest)
from 2009-03-01 to 6 months ago
Health & Medicine (ProQuest)
from 2009-03-01 to 6 months ago
Public Health Database (ProQuest)
from 2009-03-01 to 6 months ago
ROAD: Directory of Open Access Scholarly Resources
from 1993
PubMed
39069311
DOI
10.21101/cejph.a8162
Knihovny.cz E-resources
- MeSH
- Global Health MeSH
- Economic Development MeSH
- Humans MeSH
- Life Expectancy * trends MeSH
- Socioeconomic Factors MeSH
- Health Expenditures statistics & numerical data MeSH
- Check Tag
- Humans MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
OBJECTIVES: The aim of this study is to determine the interdependence between life expectancy and numerous social indicators, i.e., to determine the factors that encourage an increase or decrease in life expectancy. METHODS: Pearson coefficients as well as linear and logarithmic trends and correlations between the dependent variable of life expectancy and numerous independent variables were calculated and analysed. The calculations were carried out for all countries in the world for which data is available. Based on the strength of the correlations between life expectancy and numerous indicators, we have tried to determine the reasons for the different values of life expectancy in the various countries. RESULTS: Important factors for achieving high life expectancy values are economic development and healthcare spending but the spread of "diseases of the modern era", such as obesity or diabetes, have a significant negative impact on life expectancy. Other important limiting factors for life expectancy are large income inequalities, a higher share of private healthcare expenditure in total healthcare expenditure and lower total healthcare expenditure. Less developed societies can significantly increase their life expectancy by providing clean water and safe sanitation and by combating various infectious diseases (especially HIV). CONCLUSIONS: Life expectancy is a meaningful indicator of the state of social development and accurately reflects the general state of a particular society. It has been shown that GDP per capita (PPP) is a key determinant of life expectancy, while other important factors play the role of a further modifier.
References provided by Crossref.org
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- $a OBJECTIVES: The aim of this study is to determine the interdependence between life expectancy and numerous social indicators, i.e., to determine the factors that encourage an increase or decrease in life expectancy. METHODS: Pearson coefficients as well as linear and logarithmic trends and correlations between the dependent variable of life expectancy and numerous independent variables were calculated and analysed. The calculations were carried out for all countries in the world for which data is available. Based on the strength of the correlations between life expectancy and numerous indicators, we have tried to determine the reasons for the different values of life expectancy in the various countries. RESULTS: Important factors for achieving high life expectancy values are economic development and healthcare spending but the spread of "diseases of the modern era", such as obesity or diabetes, have a significant negative impact on life expectancy. Other important limiting factors for life expectancy are large income inequalities, a higher share of private healthcare expenditure in total healthcare expenditure and lower total healthcare expenditure. Less developed societies can significantly increase their life expectancy by providing clean water and safe sanitation and by combating various infectious diseases (especially HIV). CONCLUSIONS: Life expectancy is a meaningful indicator of the state of social development and accurately reflects the general state of a particular society. It has been shown that GDP per capita (PPP) is a key determinant of life expectancy, while other important factors play the role of a further modifier.
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