An empirical analysis of the early impact of Covid-19 on income-related inequality in household stress

Author(s):  
Sucharita Ghosh ◽  
Francesco Renna
2007 ◽  
Vol 37 (7) ◽  
pp. 1037-1045 ◽  
Author(s):  
ROSHNI MANGALORE ◽  
MARTIN KNAPP ◽  
RACHEL JENKINS

Background. Reduction of health inequalities is a major policy goal in the UK. While there is general recognition of the disadvantaged position of people with mental health problems, the extent of inequality, particularly the association with socio-economic characteristics, has not been widely studied. We aimed to measure income-related inequality in the distribution of psychiatric disorders and to compare with inequality in other health domains.Method. The concentration index (CI) approach was used to examine income-related inequality in mental health using data from the Psychiatric Morbidity Survey 2000 for Britain.Results. There is marked inequality unfavourable to lower income groups with respect to mental health disorders. The extent of inequality increases with the severity of problems, with the greatest inequality observed for psychosis. Income-related inequality for psychiatric disorders is higher than for general health in the UK. Standardized CIs suggest that these inequalities are not due to the demographic composition of the income quintiles.Conclusions. Income-related inequalities exist in mental health in Britain. As much of the observed inequality is probably due to factors associated with income and not due to the demographic composition of the income quintiles, it may be that these inequalities are potentially ‘avoidable’.


2019 ◽  
Vol 17 (4) ◽  
pp. 1107-1131 ◽  
Author(s):  
Giuliano Resce ◽  
Raffaele Lagravinese ◽  
Elisa Benedetti ◽  
Sabrina Molinaro

Author(s):  
Payam ROSHANFEKR ◽  
Mohammad-Reza KHODAIE-ARDAKANI ◽  
Homeira SAJJADI ◽  
Hossein MALEK AFZALI ARDAKANI

Background: Despite many efforts, Iran continues to have a high rate of traffic accidents and poor health outcomes. This study aimed to measure income-related inequality for traffic accident health outcomes in Iran, a country with one of the highest rates of traffic accidents and related health problems. Methods: The source of data was a national representative survey named the Iranian Multiple Indicator Demographic and Health Survey (IrMIDHS, 2010). Monthly household income is obtained through self-report in different quarters. Disparity rate ratio (DRR), slop index of inequality (SII) and the population attributable risk percentage measure (PAR%) were calculated. The concentration index (CI) of RTIs was used as our measure of socioeconomic inequality and decomposed into its determining factors. Results: Using the DRR index, in the lowest income group, the risk of death from an accident was 2.3 times, greater and the risk of accidental disability was 11.7 times greater than for the third income quartet. The slope index also shows that the rate of road traffic deaths, disability and injury per 100,000 individuals decreased by 28, 82, and 392 moving from lower to higher incomes. This decrease in injury was about 581 for motorcyclists. CI was -0.04078643 (SE=.01424828, P-value 0.004). Male sex (68.9%), 15-29 yr old age (9.4%), employed activity status (20.8%) has a positive contribution in the RTIs concentration index. Conclusion: In addition to intervention related to the road safety and vehicles and reducing human errors, prevention of the road traffic ill health outcomes requires attention to reduction of inequality in society.


Sign in / Sign up

Export Citation Format

Share Document