Income Inequality, Trust and Population Health

2012 ◽  
Author(s):  
Frank Elgar
Keyword(s):  
Income Inequality ◽  
Population Health

scholarly journals Income Inequality and Population Health: A Global Gradient?

2018 ◽  
Vol 59 (4) ◽  
pp. 536-553 ◽  
Author(s):  
Michaela Curran ◽  
Matthew C. Mahutga
Keyword(s):  
Economic Development ◽  
Income Inequality ◽  
Population Health ◽  
Fixed Effects ◽  
Harmful Effect ◽  
Fixed Effects Models ◽  
Two Measures ◽  
The Relationship ◽  
Lower Population ◽  
Cross National

Cross-national empirical research about the link between income inequality and population health produces conflicting conclusions. We address these mixed findings by examining the degree to which the income inequality and health relationship varies with economic development. We estimate fixed-effects models with different measures of income inequality and population health. Results suggest that development moderates the association between inequality and two measures of population health. Our findings produce two generalizations. First, we observe a global gradient in the relationship between income inequality and population health. Second, our results are consistent with income inequality as a proximate or conditional cause of lower population health. Income inequality has a 139.7% to 374.3% more harmful effect on health in poorer than richer countries and a significantly harmful effect in 2.1% to 53.3% of countries in our sample and 6.6% to 67.6% of the world’s population but no significantly harmful effect in richer countries.

Income Inequality and Population Health in Developed Countries

2006 ◽  
Vol 13 (1) ◽  
pp. 116-116
Author(s):  
David Cantarero ◽  
Marta Pascual ◽  
José María Sarabia
Keyword(s):  
Income Inequality ◽  
Population Health ◽  
Developed Countries

scholarly journals International variability in 20 m shuttle run performance in children and youth: who are the fittest from a 50-country comparison? A systematic literature review with pooling of aggregate results

2016 ◽  
Vol 52 (4) ◽  
pp. 276-276 ◽  
Author(s):  
Justin J Lang ◽  
Mark S Tremblay ◽  
Luc Léger ◽  
Tim Olds ◽  
Grant R Tomkinson
Keyword(s):  
Income Inequality ◽  
Population Health ◽  
Performance Index ◽  
Rank Correlation ◽  
Cost Effective ◽  
Children And Youth ◽  
Socioeconomic Indicators ◽  
Performance Indices ◽  
Shuttle Run ◽  
Country Specific

ObjectivesTo describe and compare 20 m shuttle run test (20mSRT) performance among children and youth across 50 countries; to explore broad socioeconomic indicators that correlate with 20mSRT performance in children and youth across countries and to evaluate the utility of the 20mSRT as an international population health indicator for children and youth.MethodsA systematic review was undertaken to identify papers that explicitly reported descriptive 20mSRT (with 1-min stages) data on apparently healthy 9–17 year-olds. Descriptive data were standardised to running speed (km/h) at the last completed stage. Country-specific 20mSRT performance indices were calculated as population-weighted mean z-scores relative to all children of the same age and sex from all countries. Countries were categorised into developed and developing groups based on the Human Development Index, and a correlational analysis was performed to describe the association between country-specific performance indices and broad socioeconomic indicators using Spearman's rank correlation coefficient.ResultsPerformance indices were calculated for 50 countries using collated data on 1 142 026 children and youth aged 9–17 years. The best performing countries were from Africa and Central-Northern Europe. Countries from South America were consistently among the worst performing countries. Country-specific income inequality (Gini index) was a strong negative correlate of the performance index across all 50 countries.ConclusionsThe pattern of variability in the performance index broadly supports the theory of a physical activity transition and income inequality as the strongest structural determinant of health in children and youth. This simple and cost-effective assessment would be a powerful tool for international population health surveillance.

Income inequality and population health in Islamic countries

Public Health ◽  
2011 ◽  
Vol 125 (9) ◽  
pp. 577-584 ◽  
Author(s):  
A. Esmaeili ◽  
S. Mansouri ◽  
M. Moshavash
Keyword(s):  
Income Inequality ◽  
Population Health ◽  
Islamic Countries
Sign in / Sign up

Export Citation Format

Share Document