Attacking Inequality in Health

2015 ◽  
Author(s):  
Abdo Yazbeck
Keyword(s):  
Inequality In Health

Racial Inequality in Health Care During a Pandemic

2020 ◽  
Author(s):  
Raphael Bruce ◽  
Sergio Firpo ◽  
Michael França ◽  
Luis Meloni
Keyword(s):  
Health Care ◽  
Racial Inequality ◽  
Inequality In Health

Socio-economic differences in smoking among adolescents in a school-based smoking intervention: The X:IT II study

2021 ◽  
pp. 140349482110076
Author(s):  
Lotus S. Bast ◽  
Lisbeth Lund ◽  
Stine G. LauemØller ◽  
Simone G. Kjeld ◽  
Pernille Due ◽  
...  
Keyword(s):  
Preventive Intervention ◽  
First Year ◽  
Difference In Difference ◽  
Current Smoking ◽  
Smoking Intervention ◽  
School Time ◽  
School Based ◽  
Inequality In Health ◽  
Baseline Response

Aims: Socio-economic inequalities in health behaviour may be influenced by health interventions. We examined whether the X:IT II intervention, aiming at preventing smoking in adolescence, was equally effective among students from different occupational social classes (OSC). Methods: We used data from the multi-component school-based smoking preventive intervention X:IT II, targeting 13- to 15-year-olds in Denmark. The intervention was tested in 46 schools with 2307 eligible students at baseline (response rate=86.6%) and had three main intervention components: smoke-free school time, smoke-free curriculum and parental involvement. We used a difference-in-difference design and estimated the change in current smoking after the first year of implementation in high versus low OSC. Analyses were based on available cases ( N=1190) and imputation of missing data at follow-up ( N=1967). Results: We found that 1% of the students from high OSC and 4.9% from low OSC were smokers at baseline (imputed data), and 8.2% of the students from high OSC and 12.2% from low OSC were smokers at follow-up. Difference-in-difference estimates were close to zero, indicating no differential trajectory. Conclusions: As intended, the X:IT II intervention, designed to apply equally to students from all socio-economic groups, did not seem to create different trajectories in current smoking among adolescents in high and low socio-economic groups. To diminish social inequality in health, future studies should carefully consider the ability to affect all socio-economic groups equally, or even to appeal mainly to participants from lower socio-economic groups, as they are often the ones most in need of intervention.

scholarly journals Visualizing Inequality in Health and Socioeconomic Wellbeing in the EU: Findings from the SHARE Survey

2020 ◽  
Vol 17 (21) ◽  
pp. 7747
Author(s):  
Aurea Grané ◽  
Irene Albarrán ◽  
Roger Lumley
Keyword(s):  
Physical Health ◽  
Mixed Type ◽  
Clustering Algorithm ◽  
Demographic Variables ◽  
Health And Nutrition ◽  
Composite Indices ◽  
Inequality In Health ◽  
Perception Of Health ◽  
Older Europeans ◽  
The Eu

The main objective of this paper is to visualize profiles of older Europeans to better understand differing levels of dependency across Europe. Data comes from wave 6 of the Survey of Health, Ageing and Retirement in Europe (SHARE), carried out in 18 countries and representing over 124 million aged individuals in Europe. Using the information of around 30 mixed-type variables, we design four composite indices of wellbeing for each respondent: self-perception of health, physical health and nutrition, mental agility, and level of dependency. Next, by implementing the k-prototypes clustering algorithm, profiles are created by combining those indices with a collection of socio-economic and demographic variables about the respondents. Five profiles are established that segment the dataset into the least to the most individuals at risk of health and socio-economic wellbeing. The methodology we propose is wide enough to be extended to other surveys or disciplines.

Uncontrolled Migrations as a Cause of Inequality in Health and Mortality in Small-area Studies

Epidemiology ◽  
2009 ◽  
Vol 20 (3) ◽  
pp. 411-418 ◽  
Author(s):  
Ricardo Ocaña-Riola ◽  
Alberto Fernández-Ajuria ◽  
José María Mayoral-Cortés ◽  
Silvia Toro-Cárdenas ◽  
Carmen Sánchez-Cantalejo
Keyword(s):  
Small Area ◽  
Area Studies ◽  
Inequality In Health ◽  
Health And Mortality

White doctors and nurses on racial inequality in health care in the USA: whiteness and colour-blind racial ideology

2010 ◽  
Vol 33 (8) ◽  
pp. 1431-1450 ◽  
Author(s):  
Jennifer Malat ◽  
Rose Clark-Hitt ◽  
Diana Jill Burgess ◽  
Greta Friedemann-Sanchez ◽  
Michelle Van Ryn
Keyword(s):  
Health Care ◽  
Racial Inequality ◽  
Racial Ideology ◽  
Inequality In Health ◽  
The Usa ◽  
Doctors And Nurses

Managing diversity and inequality in health

2002 ◽  
Vol 10 (2) ◽  
pp. 106
Author(s):  
Tracy Clapham
Keyword(s):  
Managing Diversity ◽  
Inequality In Health
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