Tackling inequalities in life expectancy in areas with the worst health and deprivation: England

While overall health outcomes in England has improved during the last Labour administration - inequalities in health has increased, according to the latest report published by the House of Commons Public Accounts Committee today. People living in the poorest communities in England are more likely to die two years earlier than people living in more affluent neighbourhoods, leading to 3,335 premature mortality the report claims. Between, 1997 and 2010, the NHS budget has doubled and the country is more prosperous than ever before, yet the gap in life expectancy between the poorest areas and the national average grew by 7% for men and 14% for women, the committee concluded.

The London health inequalities forecast: A briefing on inequalities in life expectancy and deaths from cancers, heart disease and stroke in London

This briefing considers the national health inequalities targets which must be met by 2010. The targets include those set for heart disease and stroke, cancers and life expectancy.

Gender Differences in Life Expectancy and Disability-Free Life Expectancy Among Older Adults in Sao Paulo, Brazil

Background: Research on life expectancy has demonstrated the negative impact of disability on the health of older adults and its differential effects on women as evidenced by their higher disabled life expectancy (DLE). The goal of the present study was to investigate gender differences in total life expectancy (TLE), disability-free life expectancy (DFLE), and DLE; examine gender differences on personal care assistance among older adults in Sao Paulo, Brazil; and discuss the implications for public policies. Methods: The sample was drawn from two waves (2000, 2006) of the dataset of Salud, Bienestar, y Envejecimiento, a large longitudinal study conducted in Sao Paulo (n = 2,143). The study assessed disability using the activities of daily living (ADL). The interpolation of Markov Chain method was used to estimate gender differences in TLE, DLE, and DFLE. Findings: TLE at age 60 years was approximately 5 years longer for women than men. Women aged 60 years were expected to live 28% of their remaining lives twice the percentage for men with at least one ADL disability. These women also lived more years (M = 0.71, SE = 0.42) with three or more ADL disabilities than men (M = 0.82, SE = 0.16). In terms of personal care assistance, women received more years of assistance than men. Conclusion: Among older adults in Sao Paulo, women lived longer lives but experienced a higher and more severe disability burden than men. In addition, although women received more years of personal assistance than men, women experienced more unmet care assistance needs. Copyright (C) 2011 by the Jacobs Institute of Women`s Health. Published by Elsevier. Inc.

Analysing variations in health expectancy - seminar presentations

A recent report by the Centre for Ageing Research and Development in Ireland (CARDI) entitled Illustrating Ageing in Ireland, North and South found that since the 1920s the number of years males can expect to live rose by about 20 years while the number of years females can expect to live rose by about 24-25 years.  It is not clear, however, if these years of life gained are lived in good health.While there is considerable policy focus on reducing inequalities in life expectancy, much less is known about the variation in health expectancy that exists across the island of Ireland. The debate hinges on our understanding of what is driving the changes in life expectancy, healthy life expectancy and the gap between the two.IPH in association with CARDI, hosted a Health Analysts' Special Interest Group (HASIG) seminar discussing the policy implications of this debate. The seminar introduced the range of health expectancy measures and compared them to life expectancy.  Initial findings from the all-island study of life expectancy and healthy life expectancy were also presented.

Authors' response to 'Limitless longevity': the contribution of rectangularization to the secular increase in life expectancy: an empirical study.

Related article : Letter to the Editor: Karin Modig, Sven Drefahl, and Anders Ahlbon.Limitless longevity: Comment on the Contribution of rectangularization to the secular increase of life expectancy

Modeling absolute differences in life expectancy with a censored skew-normal regression approach.

Parameter estimates from commonly used multivariable parametric survival regression models do not directly quantify differences in years of life expectancy. Gaussian linear regression models give results in terms of absolute mean differences, but are not appropriate in modeling life expectancy, because in many situations time to death has a negative skewed distribution. A regression approach using a skew-normal distribution would be an alternative to parametric survival models in the modeling of life expectancy, because parameter estimates can be interpreted in terms of survival time differences while allowing for skewness of the distribution. In this paper we show how to use the skew-normal regression so that censored and left-truncated observations are accounted for. With this we model differences in life expectancy using data from the Swiss National Cohort Study and from official life expectancy estimates and compare the results with those derived from commonly used survival regression models. We conclude that a censored skew-normal survival regression approach for left-truncated observations can be used to model differences in life expectancy across covariates of interest.

Trends in life expectancy of HIV-positive adults on antiretroviral therapy across the globe: comparisons with general population.

PURPOSE OF REVIEW Improved virological and immunological outcomes and reduced toxicity of antiretroviral combination therapy (ART) raise the hope that life expectancy of HIV-positive persons on ART will approach that of the general population. We systematically review the literature and summarize published estimates of life expectancy of HIV-positive populations on ART. We compare their life expectancy with the life expectancy of the general or, in sub-Saharan Africa, HIV-negative populations, by time period and gender. RECENT FINDINGS Ten relevant studies were published from 2006 to 2015. Three studies were from Canada, two from European countries, three from sub-Saharan Africa and two were multicountry studies. Life expectancy increased over time in all studies and regions. Expressed as the percentage of life expectancy in the HIV-negative or general population, estimated life expectancy at age 20 years in HIV-positive people on ART ranged from 60.3% (95% CI 58.0-62.6%) in Rwanda (2008-2011) to 89.1% (95% CI 84.7-93.6%) in Canada (2008-2012). The percentage of life expectancy in the HIV-negative or general population achieved was higher in HIV-positive women than in HIV-positive men in all countries, except for Canada wherein the opposite was the case. SUMMARY Life expectancy in HIV-positive people on ART has improved worldwide in recent years, but important gaps remain compared with the general and HIV-negative population, and between regions and genders.

Life Expectancy and All Age All Cause Mortality Monitoring (Overall and Health Inequalities) - Update to include data for 2007

The latest annual update on life expectancy data and all age all cause mortality rates, with data updated to 2005-07, which are used to monitor progress against Department of Health targets for overall life expectancy in England, and for the gap in life expectancy between the areas with the worst health and deprivation indicators (the Spearhead group) and the England average, was released on 13th November 2008 according to the arrangements approved by the UK Statistics Authority.

Mortality target monitoring (life expectancy and all-age all-cause mortality, overall and inequalities)

The latest annual update on life expectancy data and all age all cause mortality rates, with data updated to 2006-08, which are used to monitor progress against Department of Health targets for overall life expectancy in England, and for the gap in life expectancy between the areas with the worst health and deprivation indicators (the Spearhead group) and the England average, was released on 5th November 2009 according to the arrangements approved by the UK Statistics Authority. �� The key points from the latest release are: �� - The overall life expectancy and all age all cause mortality (AAACM) trends for both males and females are broadly on course to deliver the target of 78.6 years for men and 82.5 years for women by 2010 (2009-11). �� - In 2006-08, life expectancy at birth in England continued to increase for both males and females, and reached its highest level on record at 77.7 years for males and 81.9 years for females. �� - Three-year average AAACM rates for England have fallen in each period since 1995-97. �� - In 2006-08, average life expectancy at birth in the Spearhead Group was 75.8 years for males and 80.4 years for females, having increased in each period since 1995-97. �� - However, England average life expectancy at birth has increased more quickly over this period, and, in 2006-08, the relative gap ��� i.e. percentage difference - in life expectancy at birth between England and the Spearhead Group was wider than at the baseline for the target (1995-97) for both males and females. �� - For males the relative gap was 7% wider than at the baseline (compared with 4% wider in 2005-07), for females 14% wider (compared with 11% wider in 2005-07).�� �� Therefore, the target to narrow the life expectancy gap between the Spearhead Group and the England average, by at least 10% by 2010, remains challenging.��Three-year average AAACM rates for the Spearhead Group have fallen in each period since 1995-97 for both males and females. Download Mortality target monitoring (life expectancy and all-age all-cause mortality, overall and inequalities): update to include data for 2008 (PDF, 683K)Download pre-release access list (PDF, 10k)��

Identifying priorities for increasing life expectancy in the most deprived areas within the East Midlands

A set of life expectancy profiles for each Primary Care Trust (PCT) in the Region. These profiles show the causes of death that account for the largest shortfall in life expectancy in the most deprived areas of the PCT using the PCT's mortality experience as the benchmark. They are part of wider programme of work aimed at supporting the regional Health Inequalities Task Group and local organisations in identifying key priorities for tackling health inequalities.

Social inequalities in health. New evidence and policy implications

Health inequalities according to people's social standing are persisting, or even growing, in modern societies. Recent decades have revealed evidence of strong variations in life expectancy, both between countries and within them. This widening of social inequalities has developed despite considerable progress in medical science and an increase in health care spending. The reasons behind this are complex, and the implications considerable.   This book provides a summary of the major achievements of a five-year European Science Foundation (ESF) Programme on 'Social Variations in Health Expectancy in Europe'. The contributors are major figures in their subjects, and combine state of the art reviews with the latest results from interdisciplinary research in epidemiology, sociology, psychology and biomedicine.   Three conceptual frameworks of life course influences, health effects of stressful environments, and macro social determinants of health, are unified, while each chapter addresses the policy implications and recommendations derived from currently available evidence. The major topics covered include the role of family in early life, social integration and health, work stress and job security, successful ways of facing adversity, and the impact of the larger environment on health. Epidemiologists, public health research and policy makers, and students of related public health and sociology courses wlll find the results of this research fascinating.This resource was contributed by The National Documentation Centre on Drug Use.

Inequalities in Health in an Aging Population: Patterns, Causes and Consequences

The increase in life expectancy that we continue to observe raises a complex set of challenges for policy. Among these challenges is the need to respond to the heterogeneity that remains in life expectancy within the older population. Most important is that life expectancy, even at older ages, differs markedly by socioeconomic position. In addition, despite increases in longevitymany individuals now effectively retire before state pension age and a large proportion of these are dependent on benefit income. In contrast, the contribution by older people to informal careprovision and other services has the potential to provide an important input into society, the economy and their own well-being. A crucial question, therefore, is which sections of the older population will live healthy active lives and which will be dependent on formal and informal sources of support. To answer this, we need to understand how inequalities in health are distributed in the older population and what the underlying causal processes are.

Identifying priorities for increasing life expectancy within the East Midlands

A set of life expectancy profiles for each Local Authority, County and Primary Care Trust (PCT) in the Region. These profiles highlight the causes of death that result in the largest reduction in life expectancy using England's mortality experience as the benchmark. They are part of wider programme of work aimed at supporting the regional Health Inequalities Task Group and local organisations in identifying key priorities for tackling health inequalities. This document contains all five county profiles in one: they are also available individually.

INpho 3: Life expectancy in the East of England

This issue examines the trends, variation and inequality in life expectancy at local authority level within the East of England and considers the implications of achieving the national inequality target for life expectancy improvements.