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 Poverty Index information and resources

This is a collection of HPI resources stored on the SEPHO web site

Health Inequalities: NI Health % Social Care Inequalities Monitoring System - Regional 2014

Key Points: Health outcomes are generally worse in the most deprived areas in Northern Ireland when compared both with those witnessed in the region generally and in the least deprived areas. Large differences (health inequality gaps) continue to exist for a number of different health measures. åá Males in the 20% most deprived areas could expect, on average, to live 4.3 fewer years than the NI average and 7.3 fewer years than those in the 20% least deprived areas.åá Female life expectancy in the most deprived areas was 2.6 years less than the regional average and 4.3 years less than that in the least deprived areas.åá The overall death rate for males as measured by the All Age All Cause Mortality (AAACM) rate was a fifth higher in the most deprived areas (1,567 deaths per 100,000 population) than the NI average (1,304 deaths per 100,000 population), and 44% higher than in the least deprived areas (1,090 deaths per 100,000 population).åá The overall death rate for females (AAACM) in the most deprived areas (1,093 deaths per 100,000 population) was 17% higher than regionally (935 deaths per 100,000 population), and a third higher than in the least deprived areas (829 deaths per 100,000 population).åá The suicide rate in the most deprived areas (30.7 deaths per 100,000 population) was three times that in the least deprived areas (10.1 deaths per 100,000 population). All HSCIMS reports are published on the Departmental website at: http://www.dhsspsni.gov.uk/index/statistics/health-inequalities.htm

North South Survey of Children's Height, Weight and Body Mass Index, 2002.

North South Survey of Children’s Height, Weight and Body Mass Index, 2002. As part of a North South Survey of Childrenâ?Ts Oral Health conducted in Ireland in 2001/â?T02 [1], the heights and weights of a representative sample of children and adolescents age 4-16 years was measured. Data were collected by 34 teams of trained and calibrated dentists and dental nurses for 17,518 children aged 4-16 in the Republic of Ireland (RoI) and 2,099 in Northern Ireland (NI). Click here to download PDF 379kb

North South Survey of Children's Height, Weight and Body Mass Index, 2002

As part of a North South Survey of Childrens Oral Health conducted in Ireland in 2001/’02 [1], the heights and weights of a representative sample of children and adolescents age 4-16 years was measured. Data were collected by 34 teams of trained and calibrated dentists and dental nurses for 17,518 children aged 4-16 in the Republic of Ireland (RoI) and 2,099 in Northern Ireland (NI). This report presents the results of the study which provide a baseline measurement of Childrens height and weight against which future change can be measured. By comparing these data with international norms we can estimate the current prevalence of overweight and obesity among children and adolescents in Ireland.

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. �� ��

Policy Brief: Introducing Active Ageing Index

The Active Ageing Index (AAI) is a new analytical tool that aims to help policy makers in developing policies for active and healthy ageing. Its aim is to point to the untapped potential of older people for more active participation in employment, in social life and for independent living. Mobilising the potential of both older women and men is crucial to ensure prosperity for all generations in ageing societies. This policy brief introduces the Active Ageing Index to the policy makers. ��

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.

Measuring health inequalities II

Exploring and using summary measures of inequality often used in economics such as Gini Coefficients and Theil Index to summarise and compare intra-PCT health inequalities

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