Narratives of Health Inequality: Interpreting the Determinants of Health

2008 ◽  
pp. 277-291 ◽  
Author(s):  
Gareth Williams
Keyword(s):  
Health Inequality ◽  
Determinants Of Health

scholarly journals Dynamics of Health Among Adults in South Africa

2020 ◽  
Author(s):  
Usengimana Shadrack Mutembereza
Keyword(s):  
South Africa ◽  
Social Determinants Of Health ◽  
Health Inequality ◽  
Social Determinants ◽  
National Income ◽  
Determinants Of Health ◽  
Health Campaigns ◽  
Health Selection ◽  
Policy Makers ◽  
The Poor

Abstract BackgroundThis paper estimates trend of health mobility in South Africa using National Income Dynamic Study (NIDS) and investigate whether the patterns of health mobility differs within socioeconomic groups created by income and gender. Health is measured by SRHS, which correlates with mortality and morbidity; thus, it is the best measure of health. MethodsUsing five waves of NIDS and various econometric models, this research estimates health mobility in the period between 2007 and 2017. This study will use transition matrix as descriptive analysis of health mobility and Conditional Maximum Likelihood Estimations to analyse health mobility, trend of health mobility and relationship between health mobility and health inequality within NIDS. ResultsThe study shows that, among poor males, health mobility neither follows a health selection or health constraint mobility trend; the high health mobility with ambiguous trends has not decreased health inequality. Among the poor females, a negative health mobility trend is observed; this research also found that health inequality has not creased. Among the non-poor males, it is found that health mobility follows a gradient constraint trend which has decreased health inequality. Among non-poor females, it is found that health mobility follows a health selection trend which has not decreased health inequality. The results suggest that policy makers should target both social determinants of health and health campaigns to deal with health inequality among the poor males. ConclusionsThe trend of health mobility among poor females suggest that policy makers should target the social determinants of health to combat health inequality. The trend of health mobility among the non-poor males suggests that health mobility will eliminate health inequality. Lastly, the trend of health mobility suggests that policymakers should target health campaigns to deal with health inequality.

scholarly journals Socioeconomic inequalities in health in the post-Soviet Russia

POPULATION ◽  
2019 ◽  
Vol 22 (1) ◽  
pp. 61-78
Author(s):  
Pavitra Paul ◽  
Hannu Valtonen ◽  
Natalia Kovtun
Keyword(s):  
Health Inequalities ◽  
Health Inequality ◽  
Random Effect ◽  
Generalized Least Squares ◽  
Perceived Health ◽  
Individual Characteristics ◽  
Determinants Of Health ◽  
Health Differences ◽  
Monitoring Survey ◽  
Soviet Russia

Individual characteristics and socioeconomic position (SEP) are important determinants of health differences. We (1) examine the association of demography and SEP, with perceived health of the Russian population, and (2) quantify the magnitude of health inequalities ascribed to SEP in the Russian Federation. We apply a random effect Generalized Least Squares model on the datasets of the Russian Longitudinal Monitoring Survey (RLMS: 1994–2013). Our measure of health inequality is concentration index (CI), which we decompose into the determinants of health inequalities. Further, a balanced sample of 1,496 individuals extracted from the 1994 wave of RLMS is followed over 19-year period. The degree of aversion to inequalities in perceived health between the worseoff and the better-off is measured with achievement index. Being employed matters in perceiving a better health. Although the perceived health differences between the better-off and the worse-off are reduced, health inequality index indicates a change for better health for the better-off Russians.

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