Strategic review of health inequalities in England post 2010 (Marmot review consultation paper)

In November 2008, Professor Sir Michael Marmot was asked to advise the Secretary of State for Health on the future development of a health inequalities strategy in England post-2010. The consultation relates to the first phase of the review and is based on submissions from nine task groups, who considered the evidence base across the social determinants of health. This document discusses issues raised during this first phase of the review and identifies key questions for respondents. The consultation document is set out in the following sections: Section 1 The Review Consultation: Aims and consultation questions Section 2 The Strategic Review of Health inequalities: The Background to the Review, the remit, structure, context and the social determinants approach to health inequalities. Section 3 Key Strategic Themes: A summary of a thematic analysis of proposals made by the Review task groups. Each task group was asked to assess national and international evidence about interventions and policies from within their policy area, which would likely lead to reductions in health inequalities. Section 4 Cross-Cutting Challenges for the Review: A summary of challenges currently under consideration by the Review.

Health Inequalities Intervention Tool for Spearheads 2009 (Click SAVE NOT OPEN when prompted)

The Spearhead Intervention Tool has been commissioned by the Department of Health through the Association of Public Health Observatories (APHO). This version of the tool has been updated with latest data for 2005-07. The tool is designed to assist commissioners in Spearhead Primary Care Trusts (PCTs) with their Local Delivery Planning (LDP) and commissioning and to assist Spearhead Local Authorities (LAs) with the delivery of Local Area Agreements (LAAs). It highlights key issues for Spearhead PCTs and LAs to consider in order to achieve the life expectancy element of the Government̢?Ts Public Service Agreement (PSA) on health inequalities by 2010.

Health Inequalities Intervention Tool for Spearheads

The Spearhead Intervention Tool has been commissioned by the Department of Health through the Association of Public Health Observatories (APHO). This version of the tool has been updated with latest data for 2005-07. The tool is designed to assist commissioners in Spearhead Primary Care Trusts (PCTs) with their Local Delivery Planning (LDP) and commissioning and to assist Spearhead Local Authorities (LAs) with the delivery of Local Area Agreements (LAAs). It highlights key issues for Spearhead PCTs and LAs to consider in order to achieve the life expectancy element of the Government۪s Public Service Agreement (PSA) on health inequalities by 2010.

The London Health Inequalities Strategy - Draft for public consultation

This is the very first Health Inequality Strategy to be published for public consultation by the London Mayor. As such it represents a momentous step forward in galvanising action across London to address the health inequalities which prevent many Londoners from enjoying their life to the full and making the most of what London has to offer. The Greater London Authority Act 2007 requires that the strategy identifies the health inequalities, the priorities for reducing them and the role to be played by a defined list of key partners in order to implement the strategy. It defines health inequalities as inequalities in respect of life expectancy or general state of health which are wholly or partly a result of differences in respect of general health determinants۪, which it describes as: (a) standards of housing, transport services or public safety; (b) employment prospects, earning capacity and any other matters that affect levels of prosperity; (c) the degree of ease or difficulty with which persons have access to public services; (d) the use, or level of use, of tobacco, alcohol or other substances, and any other matters of personal behaviour or lifestyle, that are or may be harmful to health, and any other matters that are determinants of life expectancy or the state of health of persons generally, other than genetic or biological factors.

Health Inequalities Intervention Toolkit

This Health Inequalities Intervention Toolkit, developed jointly by the Association of Public Health Observatories and the Department of Health, focuses on improving life expectancy and infant mortality rates, especially in disadvantaged areas. Based on local authority boundaries, it is designed to assist evidence-based local service planning and commissioning, including Joint Strategic Needs Assessments. The Toolkit does this by providing information on the diseases, which are causing low life expectancy in individual areas, enabling good local priority setting. The Toolkit was originally designed to support achievement of the national Public Service Agreement target to: "Reduce health inequalities by 10% by 2010 as measured by infant mortality and life expectancy at birth." Although the PSA target has now ended, the Toolkit should still be useful to the NHS and local government, supporting planning to narrow inequalities in life expectancy and infant mortality

Mapping health inequalities across London

Analysis of infant mortality and life expectancy across London by various dimensions of inequality- socioeconomic; gender; geographical, and trends

Closing the gap: Setting local targets to reduce health inequalities

This briefing paper provides a summary of the policies, theory and practice of setting targets to reduce health inequalities. It offers some guidance for those responsible for setting local targets and sets this in the context of local experience drawn from documentary evidence from health improvement programmes (HImPs), community strategies and health action zones (HAZs).

Health inequalities [DH topic]

The Department of Health Health Inequalities page contains DH documents and information as they relate to health inequalities. These include PSA targets, wider social determinants, guidance, and other publications and links.

A health inequalities toolbox

This is a collection of resources for measuring and monitoring health inequalities that is being developed by SEPHO. The resources include work undertaken in SEPHO, and signposts to other data sources, methods and expertise.

Health Inequalities Intervention Tool (2011)

The Health Inequalities Intervention Tool has been commissioned by the Department of Health through the Association of Public Health Observatories (APHO). The tool is designed to assist commissioners in Spearhead Primary Care Trusts (PCTs) with their Local Delivery Planning (LDP) and commissioning and to assist Spearhead Local Authorities (LAs) with the delivery of Local Area Agreements (LAAs). It highlights key issues for Spearhead PCTs and LAs to consider in order to achieve the life expectancy element of the Government's Public Service Agreement (PSA) on health inequalities by 2010

Social inequalities and mortality in Europe-results from a large multi-national cohort

BACKGROUND Socio-economic inequalities in mortality are observed at the country level in both North America and Europe. The purpose of this work is to investigate the contribution of specific risk factors to social inequalities in cause-specific mortality using a large multi-country cohort of Europeans. METHODS A total of 3,456,689 person/years follow-up of the European Prospective Investigation into Cancer and Nutrition (EPIC) was analysed. Educational level of subjects coming from 9 European countries was recorded as proxy for socio-economic status (SES). Cox proportional hazard model's with a step-wise inclusion of explanatory variables were used to explore the association between SES and mortality; a Relative Index of Inequality (RII) was calculated as measure of relative inequality. RESULTS Total mortality among men with the highest education level is reduced by 43% compared to men with the lowest (HR 0.57, 95% C.I. 0.52-0.61); among women by 29% (HR 0.71, 95% C.I. 0.64-0.78). The risk reduction was attenuated by 7% in men and 3% in women by the introduction of smoking and to a lesser extent (2% in men and 3% in women) by introducing body mass index and additional explanatory variables (alcohol consumption, leisure physical activity, fruit and vegetable intake) (3% in men and 5% in women). Social inequalities were highly statistically significant for all causes of death examined in men. In women, social inequalities were less strong, but statistically significant for all causes of death except for cancer-related mortality and injuries. DISCUSSION In this European study, substantial social inequalities in mortality among European men and women which cannot be fully explained away by accounting for known common risk factors for chronic diseases are reported.

Health inequalities among the elderly in western Europe

Background: This paper analyses gender inequalities in health status and in social determinants of health among the elderly in Western Europe. Methods: Data came from the first wave of the “Survey of Health, Ageing and Retirement in Europe” (SHARE, 2004). For the purposes of this study a subsample of community-residing people aged 65-85 years with no paid work was selected (4218 men and 5007 women). Multiple logistic regression models separated by sex and adjusted for age and country were fitted. Results: Women were more likely to report poor health status, limitations in mobility and poor mental health. Whereas in both sexes educational attainment was associated with the three health indicators, household income was only related to poor self-rated health among women. The relationship between living arrangements and health differed by gender and was primarily associated with poor mental health. In both sexes, not living with the partner but living with other people and being the household head was related to poor mental health status (aOR=2.14; 95% CI=1.11-4.14 for men and aOR=1.75; 95% CI=1.12-2.72 for women). Additionally, women living with their partner and other(s) and those living alone were more likely to report poor mental health status (aOR=1.67; 95% CI=1.17-2.41 and aOR=1.58; 95% CI=1.26-1.97, respectively). Conclusions: Health inequalities persist among the elderly. Women have poorer health status than men and in both sexes the risk of poor health status increases among those with low educational attainment. Living arrangements are primarily associated with poor mental health status with patterns that differ by gender.

Prevalence, pathophysiology, health consequences and treatment options of obesity in the elderly: a guideline.

The prevalence of obesity is rising progressively, even among older age groups. By the year 2030-2035 over 20% of the adult US population and over 25% of the Europeans will be aged 65 years and older. The predicted prevalence of obesity in Americans, 60 years and older was 37% in 2010. The predicted prevalence of obesity in Europe in 2015 varies between 20 and 30% dependent on the model used. This means 20.9 million obese 60+ people in the USA in 2010 and 32 million obese elders in 2015 in the EU. Although cut-off values of BMI, waist circumference and percentages of fat mass have not been defined for the elderly (nor for the elderly of different ethnicity), it is clear from several meta-analyses that mortality and morbidity associated with overweight and obesity only increases at a BMI above 30 kg/m(2). Thus, treatment should only be offered to patients who are obese rather than overweight and who also have functional impairments, metabolic complications or obesity-related diseases, that can benefit from weight loss. The weight loss therapy should aim to minimize muscle and bone loss but also vigilance as regards the development of sarcopenic obesity - a combination of an unhealthy excess of body fat with a detrimental loss of muscle and fat-free mass including bone - is important in the elderly, who are vulnerable to this outcome. Life-style intervention should be the first step and consists of a diet with a 500 kcal (2.1 MJ) energy deficit and an adequate intake of protein of high biological quality together with calcium and vitamin D, behavioural therapy and multi-component exercise. Multi-component exercise includes flexibility training, balance training, aerobic exercise and resistance training. The adherence rate in most studies is around 75%. Knowledge of constraints and modulators of physical inactivity should be of help to engage the elderly in physical activity. The role of pharmacotherapy and bariatric surgery in the elderly is largely unknown as in most studies people aged 65 years and older have been excluded.

Association of socioeconomic position with health behaviors and mortality

CONTEXT: Previous studies may have underestimated the contribution of health behaviors to social inequalities in mortality because health behaviors were assessed only at the baseline of the study. OBJECTIVE: To examine the role of health behaviors in the association between socioeconomic position and mortality and compare whether their contribution differs when assessed at only 1 point in time with that assessed longitudinally through the follow-up period. DESIGN, SETTING, AND PARTICIPANTS: Established in 1985, the British Whitehall II longitudinal cohort study includes 10 308 civil servants, aged 35 to 55 years, living in London, England. Analyses are based on 9590 men and women followed up for mortality until April 30, 2009. Socioeconomic position was derived from civil service employment grade (high, intermediate, and low) at baseline. Smoking, alcohol consumption, diet, and physical activity were assessed 4 times during the follow-up period. MAIN OUTCOME MEASURES: All-cause and cause-specific mortality. RESULTS: A total of 654 participants died during the follow-up period. In the analyses adjusted for sex and year of birth, those with the lowest socioeconomic position had 1.60 times higher risk of death from all causes than those with the highest socioeconomic position (a rate difference of 1.94/1000 person-years). This association was attenuated by 42% (95% confidence interval [CI], 21%-94%) when health behaviors assessed at baseline were entered into the model and by 72% (95% CI, 42%-154%) when they were entered as time-dependent covariates. The corresponding attenuations were 29% (95% CI, 11%-54%) and 45% (95% CI, 24%-79%) for cardiovascular mortality and 61% (95% CI, 16%-425%) and 94% (95% CI, 35%-595%) for noncancer and noncardiovascular mortality. The difference between the baseline only and repeated assessments of health behaviors was mostly due to an increased explanatory power of diet (from 7% to 17% for all-cause mortality, respectively), physical activity (from 5% to 21% for all-cause mortality), and alcohol consumption (from 3% to 12% for all-cause mortality). The role of smoking, the strongest mediator in these analyses, did not change when using baseline or repeat assessments (from 32% to 35% for all-cause mortality). CONCLUSION: In a civil service population in London, England, there was an association between socioeconomic position and mortality that was substantially accounted for by adjustment for health behaviors, particularly when the behaviors were assessed repeatedly.

Regional differences in socio-economic health inequalities in Spain

This paper reports an analysis of income related health inequalities at the AutonomousCommunity level in Spain using the self assessed health measure in the 2001 edition of theEncuesta Nacional de Salud. We use recently developed methods in order to cardinalise andmodel self assessed health within a regression framework, decompose the sources ofinequality and explain the observed differences across regions. We find that the regions with the highest levels of mean health tend to enjoy the lowest degrees of income related health inequality and vice-versa. The main feature characterizing regions where income related health inequality is low is the absence of a positive gradient between income and health. In turn, the regions where income related health inequality is greater are characterized by a strong and significant positive gradient between health and income. These results suggest that policies aimed at eliminating the gradient between health and income can potentially lead to greate r reductions in socio-economic health inequalities than policies aimed at redistributing income.