Health Inequalities and the Living Wage

Evidence Review 6 - Health inequalities and the living wage Briefing 6 - Health inequalities and the living wage This pair of documents, commissioned by Public Health England, and written by the UCL Institute of Health Equity, address the role of a minimum income in improving health. These papers provide a summary of evidence on the health impacts of living on a low income. They assess the evidence around how the living wage addresses low incomes, health and health inequalities. The living wage is an hourly minimum wage, optional for employers, calculated according to the basic cost of living. Local authorities and other organisations that have implemented the living wage for their staff are presented as case study interventions to show how it is possible, the challenges faced and how they were overcome and any reported income, health and business benefits. The full evidence review and a shorter summary briefing are available to download above. This document is part of a series. An overview document which provides an introduction to this and other documents in the series, and links to the other topic areas, is available on the ‘Local Action on health inequalities’ project page. A video of Michael Marmot introducing the work is also available on our videos page.

Inequality and the stereotyping of young people

Recent research published by the Equality Authority highlights the ways in which a selection of teenagers believe they are negatively perceived and treated by adults across Irish society. The report is based on focus group discussions with 90 teenagers during May and June 2005 and includes the views of young asylum seekers, travellers, people with disabilities and lesbian, gay, bisexual and transgender youth. Contact with the young people was facilitated through the National Youth Council of Ireland (NYCI). The report also includes findings from a case study of stereotyping of young people in the Irish media.This resource was contributed by The National Documentation Centre on Drug Use.

Does income inequality cause health and social problems?

Key points• The literature shows general agreement about a correlation between income inequality and health/social problems. • There is less agreement about whether income inequality causes health and social problems independently of other factors, but some rigorous studies have found evidence of this. • The independent effect of income inequality on health/social problems shown in some studies looks small in statistical terms. But these studies cover whole populations, and hence a significant number of lives. • Some research suggests that inequality is particularly harmful beyond a certain threshold. Britain was below this threshold in the 1960s, 1970s and early 1980s, but rose past it in 1986–7 and has settled well above it since 1998–9. If the threshold is significant it could provide a target for policy. • Anxiety about status might explain income inequality’s effect on health and social problems. If so, inequality is harmful because it places people in a hierarchy which increases competition for status, causing stress and leading to poor health and other negative outcomes. • Not all research shows an independent effect of income inequality on health/social problems. Some highlights the role of individual income (poverty/material circumstances), culture/history, ethnicity and welfare state institutions/social policies. • The author concludes that there is a strong case for further research on income inequality and discussion of the policy implications.This resource was contributed by The National Documentation Centre on Drug Use.

Poverty, inequality and policy since 1997

This study examines the impact of policy on poverty and inequality in Britain since 1997This research shows what effect policies introduced since 1997 have had on reducing poverty and inequality. It offers a considered assessment of impacts over a decade:How did policies change, before 1997 and since then?What evidence is there of impacts on key outcomes?What gaps or problems remain or emerged?The study covers a range of subjects, including public attitudes to poverty and inequality, children and early years, education, health, employment, pensions, and migrants. It measures the extent of progress and also considers future direction and pressures, particularly in the light of recession and an ageing society.The research draws on extensive analysis of policy documents, analysis by government departments and research bodies, published statistics and evaluations, analysis of large-scale datasets, micro-simulation modelling and a long-running qualitative study with residents of low-income neighbourhoods.��

Trends in world inequality in life span since 1970

The trends in the variance of length of life, and in the variance of length of adult life in particular, are not well understood, while world inequality in length of adult life has remained stagnant. This��research��from the National Bureau of Economic Research (US)��examines life-span inequality in a broad, balanced panel of 180 rich and poor countries observed in 1970 and 2000. While the share of inequality within countries has decreased over time, inequalities between different countries have unambiguously increased. �� ��

Inequality in Healthy Life Expectancy at Birth by National Deciles of Area Deprivation: England, 2010-12

This release from the Office for National Statistics contains a reference table providing Healthy Life Expectancy (HLE) and Life Expectancy (LE) at birth for national deciles of area deprivation in England. It also provides two measures of inequality, the range and Slope Index of Inequality (SII), for the period 2010-12.Key findingsMales in the most deprived areas have a life expectancy 9.1 years shorter (when measured by the range) than males in the least deprived areas; they also spend a smaller proportion of their shorter lives in ‘Good’ health (70.8% compared to 85.0%).Females in the most deprived areas have a life expectancy 6.8 years shorter (when measured by the range) than females in the least deprived areas; they also expect to spend 17.2% less of their life in ‘Good’ health (66.1% compared to 83.2%).Males in the most advantaged areas can expect to live 19.4 years longer in ‘Good’ health than those in the least advantaged areas as measured by the Slope Index of Inequality (SII). For females this was 19.8 years.Read the release here.��

Health Inequality Profiles 2008 - MSOA level data (v2)

Using mortality and population data from 2001 to 2007 DSRs and life expectancy were calculated for all Middle Layer Super Output Areas in the East of England.

Health Inequality Profiles 2008 - All age, all cause standardised vs. EoE

DSRs (with CIs) for All age, all cause mortality 2001-03 to 2005-07, by gender, for Counties/UAs, County quintiles, County 80/20 standardises - as in previous years - against East of England Census 2001 population.

Health inequality target monitoring: update to include data for 2006

These reports summarise progress against Department of Health inequality targets for 2010 in the following areas: Infant mortality; life expectancy at birth for males and for females; cancer (premature mortality rate) and all circulatory diseases (premature mortality rate). Key facts Infant mortality The inequality gap in the infant mortality rate has reduced for the second consecutive period, though not yet by a sufficient amount to meet the target, based on the trend since the current socio economic classifications were introduced in 2001. Life expectancy at birth (males and females) The inequality gaps in male and female life expectancy at birth have both increased since the baseline. If current trends continue, the target would not be met. Cancer mortality The inequality gap in cancer mortality has declined since the baseline (despite a slight increase in the latest period), and the minimum requirement for the 2010 target has already been met. All circulatory diseases mortality The inequality gap in circulatory disease mortality has declined, and is on track to meet the target.

Indicators of inequality: Classification and selection of ethnic health disparity indicators

Classification and selection of ethnic disparity health indicators in New Zealand