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.

The contribution of rectangularization to the secular increase of life expectancy: an empirical study.

BACKGROUND: In low-mortality countries, life expectancy is increasing steadily. This increase can be disentangled into two separate components: the delayed incidence of death (i.e. the rectangularization of the survival curve) and the shift of maximal age at death to the right (i.e. the extension of longevity). METHODS: We studied the secular increase of life expectancy at age 50 in nine European countries between 1922 and 2006. The respective contributions of rectangularization and longevity to increasing life expectancy are quantified with a specific tool. RESULTS: For men, an acceleration of rectangularization was observed in the 1980s in all nine countries, whereas a deceleration occurred among women in six countries in the 1960s. These diverging trends are likely to reflect the gender-specific trends in smoking. As for longevity, the extension was steady from 1922 in both genders in almost all countries. The gain of years due to longevity extension exceeded the gain due to rectangularization. This predominance over rectangularization was still observed during the most recent decades. CONCLUSIONS: Disentangling life expectancy into components offers new insights into the underlying mechanisms and possible determinants. Rectangularization mainly reflects the secular changes of the known determinants of early mortality, including smoking. Explaining the increase of maximal age at death is a more complex challenge. It might be related to slow and lifelong changes in the socio-economic environment and lifestyles as well as population composition. The still increasing longevity does not suggest that we are approaching any upper limit of human longevity.

What does your neighbourhood say about you? : a study of life expectancy in 1.3 million Swiss neighbourhoods

BACKGROUND: Switzerland had the highest life expectancy at 82.8 years among the Organisation for Economic Co-operation and Development (OECD) countries in 2011. Geographical variation of life expectancy and its relation to the socioeconomic position of neighbourhoods are, however, not well understood. METHODS: We analysed the Swiss National Cohort, which linked the 2000 census with mortality records 2000-2008 to estimate life expectancy across neighbourhoods. A neighbourhood index of socioeconomic position (SEP) based on the median rent, education and occupation of household heads and crowding was calculated for 1.3 million overlapping neighbourhoods of 50 households. We used skew-normal regression models, including the index and additionally marital status, education, nationality, religion and occupation to calculate crude and adjusted estimates of life expectancy at age 30 years. RESULTS: Based on over 4.5 million individuals and over 400,000 deaths, estimates of life expectancy at age 30 in neighbourhoods ranged from 46.9 to 54.2 years in men and from 53.5 to 57.2 years in women. The correlation between life expectancy and neighbourhood SEP was strong (r=0.95 in men and r=0.94 women, both p values <0.0001). In a comparison of the lowest with the highest percentile of neighbourhood SEP, the crude difference in life expectancy from skew-normal regression was 4.5 years in men and 2.5 years in women. The corresponding adjusted differences were 2.8 and 1.9 years, respectively (all p values <0.0001). CONCLUSIONS: Although life expectancy is high in Switzerland, there is substantial geographical variation and life expectancy is strongly associated with the social standing of neighbourhoods.

What does your neighbourhood say about you? A study of life expectancy in 1.3 million Swiss neighbourhoods

BACKGROUND Switzerland had the highest life expectancy at 82.8 years among the Organisation for Economic Co-operation and Development (OECD) countries in 2011. Geographical variation of life expectancy and its relation to the socioeconomic position of neighbourhoods are, however, not well understood. METHODS We analysed the Swiss National Cohort, which linked the 2000 census with mortality records 2000-2008 to estimate life expectancy across neighbourhoods. A neighbourhood index of socioeconomic position (SEP) based on the median rent, education and occupation of household heads and crowding was calculated for 1.3 million overlapping neighbourhoods of 50 households. We used skew-normal regression models, including the index and additionally marital status, education, nationality, religion and occupation to calculate crude and adjusted estimates of life expectancy at age 30 years. RESULTS Based on over 4.5 million individuals and over 400 000 deaths, estimates of life expectancy at age 30 in neighbourhoods ranged from 46.9 to 54.2 years in men and from 53.5 to 57.2 years in women. The correlation between life expectancy and neighbourhood SEP was strong (r=0.95 in men and r=0.94 women, both p values <0.0001). In a comparison of the lowest with the highest percentile of neighbourhood SEP, the crude difference in life expectancy from skew-normal regression was 4.5 years in men and 2.5 years in women. The corresponding adjusted differences were 2.8 and 1.9 years, respectively (all p values <0.0001). CONCLUSIONS Although life expectancy is high in Switzerland, there is substantial geographical variation and life expectancy is strongly associated with the social standing of neighbourhoods.

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.��

Infant Mortality in Iowa Interim Study Committee, January 1992

The Infant Mortality in Iowa Interim Study Committee was established by the Legislative Council to review historical trends in Iowa's infant mortality rates to identify the extent of the problem on a statewide basis. Identify areas in the state with the greatest incidence of infant mortality, and research health complications. Identify factors which lead to impoverished families, and research access to health care services. Survey and review the current structure of service provided to pregnant women in Iowa health care facilities, and solicit information on the level of existing prenatal services. Recommend changes in Iowa's health care system which would lower Iowa's infant mortality rate.

All-Ireland Traveller Health Study

Summary of Findings (PDF 9.4mb) Alongside the executive summary above, this report is further broken into 3 technical reports and an appendix, which are available below. Because of their size, Technical Reports 2 and 3 are available in low-resolution format and are also broken into 4-part higher resolution versions. Technical Report 1 features the findings of the Census of Traveller Population and a Quantitative Study of Health Status and Health Utilisation Technical Report 1: Health Survey Findings (PDF 10mb) Technical Report 2 reports on Demography and Vital Statistics including mortality and life expectancy data, an initial report of the Birth Cohort Study and a report on Travellers in Institutions. The Birth Cohort Study was a 1 year follow-up of all Traveller babies born on the island of Ireland between 14th October 2008 and 13th October 2009, with data collection up to 13th October 2010. Part D of Technical Report 2 is the Birth Cohort Study Follow Up and was published in September 2011. Technical Report 2 – Parts A, B & C (PDF 12mb) Demography & Vital Statistics: Part A of Technical Report 2 (PDF 5.3mb) The Birth Cohort Study: Part B of Technical Report 2 (PDF 9.6mb) Travellers in Institutions: Part C of Technical Report 2 (PDF 4.3mb) Technical Report 2 Bibliography – Parts A, B & C (PDF 2.7mb) The Birth Cohort Study Follow Up: Part D of Technical Report 2 (including bibliography) (PDF 7.1mb) Technical Report 3 reports on Consultative Studies including qualitative studies based on focus groups and semi-structured interviews with Travellers and key discussants, and a survey of Health Service Providers Technical Report 3 : Full Report (PDF 11.8mb) Qualitative Studies: Part A of Technical Report 3 (PDF 4.2mb) Health Service Provider Study: Part B of Technical Report 3 (PDF 5.4mb) Discussion & Recommendations: Part C of Technical Report 3 (PDF 3.1mb) Technical Report 3 Bibliography (PDF 2.6mb) Preamble Health Service Providers Questionnaire for the Republic of Ireland and Northern Ireland (PDF 75kb) Questionnaire for the Republic of Ireland (PDF 326kb) Questionnaire for Northern Ireland (PDF 140kb)

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)��

Mortality and morbidity in the city of Bern, Switzerland, 1805-1815 with special emphasis on infant, child and maternal deaths

This article contributes to the research on demographics and public health of urban populations of preindustrial Europe. The key source is a burial register that contains information on the deceased, such as age and sex, residence and cause of death. This register is one of the earliest compilations of data sets of individuals with this high degree of completeness and consistency. Critical assessment of the register's origin, formation and upkeep promises high validity and reliability. Between 1805 and 1815, 4,390 deceased inhabitants were registered. Information concerning these individuals provides the basis for this study. Life tables of Bern's population were created using different models. The causes of death were classified and their frequency calculated. Furthermore, the susceptibility of age groups to certain causes of death was established. Special attention was given to causes of death and mortality of newborns, infants and birth-giving women. In comparison to other cities and regions in Central Europe, Bern's mortality structure shows low rates for infants (q0=0.144) and children (q1-4=0.068). This could have simply indicated better living conditions. Life expectancy at birth was 43 years. Mortality was high in winter and spring, and decreased in summer to a low level with a short rise in August. The study of the causes of death was inhibited by difficulties in translating early 19th century nomenclature into the modern medical system. Nonetheless, death from metabolic disorders, illnesses of the respiratory system, and debilitation were the most prominent causes in Bern. Apparently, the worst killer of infants up to 12 months was the "gichteren", an obsolete German term for lethal spasmodic convulsions. The exact modern identification of this disease remains unclear. Possibilities such as infant tetanus or infant epilepsy are discussed. The maternal death rate of 0.72% is comparable with values calculated from contemporaneous sources. Relevance of childbed fever in the early 1800s was low. Bern's data indicate that the extent of deaths related to childbirth in this period is overrated. This research has an explicit interdisciplinary value for various fields including both the humanities and natural sciences, since information reported here represents the complete age and sex structure of a deceased population. Physical anthropologists can use these data as a true reference group for their palaeodemographic studies of preindustrial Central Europe of the late 18th and early 19th century. It is a call to both historians and anthropologists to use our resources to a better effect through combination of methods and exchange of knowledge.

Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015 : a systematic analysis for the Global Burden of Disease Study 2015

The cost of life expectancy and the implicit social valuation of life

A new method of estimating the economic value of life is proposed. Using cross-country data, an equation is estimated to explain life expectancy as a function of real consumption of goods and services. The associated cost function for life expectancy in terms of the prices of specific goods and services is used to estimate the cost of a reduction in age-specific mortality rates sufficient to save the life of one person. The cost of saving a life in OECD countries is as much as 1000 times that in the poorest countries. Ethical implications are discussed.

Inequalities in health: living conditions and infant mortality in Northeastern Brazil

OBJECTIVE To analyze the variation of infant mortality as per condition of life in the urban setting.METHODS Ecological study performed with data regarding registered deaths of children under the age of one who resided in Aracaju, SE, Northeastern Brazil, from 2001 to 2010. Infant mortality inequalities were assessed based on the spatial distribution of the Living Conditions Index for each neighborhood, classified into four strata. The average mortality rates of 2001-2005 and 2006-2010 were compared using the Student’s t-test.RESULTS Average infant mortality rates decreased from 25.3 during 2001-2005 to 17.7 deaths per 1,000 live births in 2006-2010. Despite the decrease in the rates in all the strata during that decade, inequality of infant mortality risks increased in neighborhoods with worse living conditions compared with that in areas with better living conditions.CONCLUSIONS Infant mortality rates in Aracaju showed a decline, but with important differences among neighborhoods. The assessment based on a living condition perspective can explain the differences in the risks of infant mortality rates in urban areas, highlighting health inequalities in infant mortality as a multidimensional issue.

Trends in healthy life expectancy among older Brazilian women between 1998 and 2008

OBJECTIVE To analyze conditional and unconditional healthy life expectancy among older Brazilian women.METHODS This cross-sectional study used the intercensal technique to estimate, in the absence of longitudinal data, healthy life expectancy that is conditional and unconditional on the individual’s current health status. The data used were obtained from the Pesquisa Nacional por Amostra de Domicílios (National Household Sample Survey) of 1998, 2003, and 2008. This sample comprised 11,171; 13,694; and 16,259 women aged 65 years or more, respectively. Complete mortality tables from the Brazilian Institute of Geography and Statistics for the years 2001 and 2006 were also used. The definition of health status was based on the difficulty in performing activities of daily living.RESULTS The remaining lifetime was strongly dependent on the current health status of the older women. Between 1998 and 2003, the amount of time lived with disability for healthy women at age 65 was 9.8%. This percentage increased to 66.2% when the women already presented some disability at age 65. Temporal analysis showed that the active life expectancy of the women at age 65 increased between 1998-2003 (19.3 years) and 2003-2008 (19.4 years). However, life years gained have been mainly focused on the unhealthy state.CONCLUSIONS Analysis of conditional and unconditional life expectancy indicated that live years gained are a result of the decline of mortality in unhealthy states. This pattern suggests that there has been no reduction in morbidity among older women in Brazil between 1998 and 2008.

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.