Suchergebnisse

The gross inequalities in health that we see within and between countries present a challenge to the world. That there should be a spread of life expectancy of 48 years among countries and 20 years or more within countries is not inevitable. A burgeoning volume of research identifies social factors at the root of much of these inequalities in health. Social determinants are relevant to communicable and non-communicable disease alike. Health status, therefore, should be of concern to policy makers in every sector, not solely those involved in health policy. As a response to this global challenge, WHO is launching a Commission on Social Determinants of Health, which will review the evidence, raise societal debate, and recommend policies with the goal of improving health of the world's most vulnerable people. A major thrust of the Commission is turning public-health knowledge into political action.

Les pauvres vivent moins longtemps et sont plus souvent malades que les riches. Cette disparité met en évidence le fait que l'environnement social influe considérablement sur la santé. Cet ouvrage examine le gradient social en matière de santé et explique les influences psychologiques et sociales qui s'exercent sur la santé physique et la longévité. Il examine ensuite les connaissances relatives aux principaux déterminants sociaux de la santé aujourd'hui et le rôle que les politiques des pouvoirs publics peuvent jouer dans la création d'un environnement social plus favorable à la santé. Cette

Poorer people live shorter lives and are more often ill than the rich. This disparity has drawn attention to the remarkable sensitivity of health to the social environment. This publication examines this social gradient in health, and explains how psychological and social influences affect physical health and longevity. It then looks at what is known about the most important social determinants of health today, and the role that public policy can play in shaping a social environment that is more conducive to better health. This second edition relies on the most up-to-date sources in its select

Summary points: In 1970 male life expectancy at age 15 was 56 in countries that now form the European Union; 55 in the communist countries of central and eastern Europe (excluding the Soviet Union); and 52 in the Soviet Union. In 1997 male life expectancy was 60 in the countries that now form the European Union; 54 in the former communist countries of central and eastern Europe (excluding the former Soviet Union); and 48 in Russia. The relative disadvantage for women was similar, but the absolute differences were smaller. Mortality changes after 1989 in eastern Europe were correlated with changes in gross domestic product and changes in income inequalities. In the 1980s there were inequalities in health within individual countries in eastern Europe; these were wider after 1989. Inequalities in health within individual countries in eastern Europe were more strongly related to education than to measures of economic wellbeing.

Bringing together a panel of international experts, this book aims to provide answers to the complex reasons behind social inequalities in health, explaining scientific evidence and discussing its policy implications. The topics include the role of family in early life, social integration and health, and successful ways of facing adversity.

Health inequalities are present throughout the world, both within and between countries. The Commission on Social Determinants of Health drew attention to dramatic social gradients in health within most countries and made proposals for action. These inequalities are not inevitable. The purpose of this article is to report on activity that has taken place worldwide after the report by the Commission on Social Determinants of Health. First, we summarise the global situation. Second, we summarise an interim report of the emerging findings from an independent review of social determinants and the health divide, which was commissioned by the WHO European region. The world conference on social determinants of health will be held in Rio de Janeiro, Brazil, in October, 2011. This summit provides an opportunity to galvanise support, prioritise action, and respond to the call by the Commission on Social Determinants of Health for social justice as a route to a fair distribution of health.

Objectives: To examine whether, in former communist countries that have undergone profound social and economic transformation, health status is associated with income inequality and other societal characteristics, and whether this represents something more than the association of health status with individual socioeconomic circumstances.Design: Multilevel analysis of cross- sectional data.Setting: 13 Countries from Central and Eastern Europe and the former Soviet Union.Participants: Population samples aged 18+ years ( a total of 15 331 respondents).Mean outcome measures: Poor self- rated health.Results: There were marked differences among participating countries in rates of poor health ( a greater than twofold difference between the countries with the highest and lowest rates of poor health), gross domestic product per capita adjusted for purchasing power parity ( a greater than threefold difference), the Gini coefficient of income inequality ( twofold difference), corruption index ( twofold difference) and homicide rates ( 20- fold difference). Ecologically, the age- and sex- standardised prevalence of poor self- rated health correlated strongly with life expectancy at age 15 ( r = -0.73). In multilevel analyses, societal ( country- level) measures of income inequality were not associated with poor health. Corruption and gross domestic product per capita were associated with poor health after controlling for individuals' socioeconomic circumstances ( education, household income, marital status and ownership of household items); the odds ratios were 1.15 ( 95% confidence interval 1.03 to 1.29) per 1 unit ( on a 10- point scale) increase in the corruption index and 0.79 ( 95% confidence interval 0.68 to 0.93) per $ 5000 increase in gross domestic product per capita. The effects of gross domestic product and corruption were virtually identical in people whose household income was below and above the median.Conclusion: Societal measures of prosperity and corruption, but not income inequalities, were associated with health independently of individual- level socioeconomic characteristics. The finding that these effects were similar in persons with lower and higher income suggests that these factors do not operate exclusively through poverty.

Background The health gap between the top and the bottom of the income distribution is widening rapidly in the USA, but the lifespan of America's poor depends substantially on where they live. We ask whether two major developments in American society, deindustrialization and incarceration, can explain variation among states in life expectancy of those in the lowest income quartile. Methods Life expectancy estimates at age 40 of those in the bottom income quartile were used to fit panel data models examining the relationship with deindustrialization and incarceration between 2001 and 2014 for all US states. Results A one standard deviation (s.d.) increase in deindustrialization (mean = 11.2, s.d. = 3.5) reduces life expectancy for the poor by 0.255 years [95% confidence interval (CI): 0.090–0.419] and each additional prisoner per 1000 residents (mean = 4.0, s.d. = 1.5) is associated with a loss of 0.468 years (95% CI: 0.213–0.723). Our predictors explain over 20% of the state-level variation in life expectancy among the poor and virtually the entire increase in the life expectancy gap between the top and the bottom income quartiles since the turn of the century. Conclusions In the USA between 2001 and 2014, deindustrialization and incarceration subtracted roughly 2.5 years from the lifespan of the poor, pointing to their role as major health determinants. Future research must remain conscious of the upstream determinants and the political economy of public health. If public policy responses to growing health inequalities are to be effective, they must consider strengthening industrial policy and ending hyper-incarceration.

BACKGROUND: Mortality from cardiovascular diseases is substantially higher in central and eastern Europe than in the west. After the fall of communism, these countries have undergone radical changes in their political, social, and economic environments but little is known about the impact of these changes on health behaviours or risk factors. Data from the Czech Republic, a country whose mortality rates from cardiovascular diseases are among the highest, were analysed in this report. OBJECTIVES: To examine the trends in cardiovascular risk factors in Czech population over the last decade during which a major and sudden change of the political and social system occurred in 1989, and whether the trends differed in relation to age and educational group. DESIGN AND SETTING: Data from three cross sectional surveys conducted in 1985, 1988, and 1992 as a part of the MONICA project were analysed. The surveys examined random samples of men and women aged 25-64 in six Czech districts and measured the following risk factors: smoking, blood pressure, body mass index (BMI), and total and high density lipoprotein (HDL) cholesterol. RESULTS: The numbers of subjects (response rate) examined were 2573 (84%) in 1985, 2769 (87%) in 1988, and 2353 (73%) in 1992. Total cholesterol and body mass index increased between 1985 and 1988 and decreased between 1988 and 1992. The prevalence of smoking was declining slightly in men between 1985 and 1992 but remained stable in women. There were only small changes in blood pressure. The decline in cholesterol and BMI in 1988-92 may be related to changes in foods consumption after the price deregulation in 1991. An improvement in risk profile was more pronounced in younger age groups, and the declines in cholesterol and obesity were substantially larger in men and women with higher education. By contrast, there was an increase in smoking in women educated only to primary level. CONCLUSION: Substantial changes in cholesterol, obesity, and women's smoking occurred in the Czech population after ...

Objective The Russian mortality crisis of the early 1990s attracted considerable attention, but information on Possible covariates of mortality is lacking, and concerns have been raised about the validity of official mortality data. To help elucidate the determinants of mortality, we examined whether indirect demographic techniques could be used to study mortality-in countries such as the Russian Federation, where mortality data are inadequate, using input data independent from official vital statistics.Methods A national sample of the population was interviewed (n = 1600, response rate = 67%). Participants who had ever been married (82% of the sample) were asked about the date of birth and vital status of their first spouse. Spousal mortality was then. estimated indirectly for the 531 men and 710 women for whom valid data were available.Findings The estimated risk of death between the ages of 35-69 years was 57% for male spouses and 17% for female spouses. Corresponding figures derived from national data for 1990 were 52% and 25% for the Russian Federation, and 31% and 20% for the United Kingdom. According to spouses' reports, 38% of their husbands died from cardiovascular disease, 22% from cancer, and 14% from injuries and accidents. Mortality of male spouses was inversely related to the education level of their wives, and the age-adjusted hazard ratios for death from all causes, compared to primary education, were 0.77 for secondary education and 0.57 for university education (trend P = 0.03), Mortality was also inversely related to ownership of household items, but not to size of settlement, pride in Russia, membership in the Soviet Communist Party, nationality or self-assessed social status.Conclusions Although the indirect estimates were imprecise (partly owing to the small population size of the study), and mortality in women was probably underestimated (owing to many factors, including poorer reporting by males and high male mortality), our results are nevertheless consistent with the mortality pattern observed in official mortality data. The indirect technique thus appears to be a useful tool to study the determinants of mortality in the Russian Federation and other populations, where reliable or sufficiently extensive data are not available.

OBJECTIVE: To determine the association between adverse psychosocial characteristics at work and risk of coronary heart disease among male and female civil servants. DESIGN: Prospective cohort study (Whitehall II study). At the baseline examination (1985-8) and twice during follow up a self report questionnaire provided information on psychosocial factors of the work environment and coronary heart disease. Independent assessments of the work environment were obtained from personnel managers at baseline. Mean length of follow up was 5.3 years. SETTING: London based office staff in 20 civil service departments. SUBJECTS: 10,308 civil servants aged 35-55 were examined-6895 men (67%) and 3413 women (33%). MAIN OUTCOME MEASURES: New cases of angina (Rose questionnaire), severe pain across the chest, diagnosed ischaemic heart disease, and any coronary event. RESULTS: Men and women with low job control, either self reported or independently assessed, had a higher risk of newly reported coronary heart disease during follow up. Job control assessed on two occasions three years apart, although intercorrelated, had cumulative effects on newly reported disease. Subjects with low job control on both occasions had an odds ratio for any subsequent coronary event of 1.93 (95% confidence interval 1.34 to 2.77) compared with subjects with high job control at both occasions. This association could not be explained by employment grade, negative affectivity, or classic coronary risk factors. Job demands and social support at work were not related to the risk of coronary heart disease. CONCLUSIONS: Low control in the work environment is associated with an increased risk of future coronary heart disease among men and women employed in government offices. The cumulative effect of low job control assessed on two occasions indicates that giving employees more variety in tasks and a stronger say in decisions about work may decrease the risk of coronary heart disease.

Background Population-level data suggest that economic disruptions in the early 1990s increased working-age male mortality in post-Soviet countries. This study uses individual-level data, using an indirect estimation method, to test the hypothesis that fast privatisation increased mortality in Russia. Methods In this retrospective cohort study, we surveyed surviving relatives of individuals who lived through the post-communist transition to retrieve demographic and socioeconomic characteristics of their parents, siblings, and male partners. The survey was done within the framework of the European Research Council (ERC) project PrivMort (The Impact of Privatization on the Mortality Crisis in Eastern Europe). We surveyed relatives in 20 mono-industrial towns in the European part of Russia (ie, the landmass to the west of the Urals). We compared ten fast-privatised and ten slow-privatised towns selected using propensity score matching. In the selected towns, population surveys were done in which respondents provided information about vital status, sociodemographic and socioeconomic characteristics and health-related behaviours of their parents, two eldest siblings (if eligible), and first husbands or long-term partners. We calculated indirect age-standardised mortality rates in fast and slow privatised towns and then, in multivariate analyses, calculated Poisson proportional incidence rate ratios to estimate the effect of rapid privatisation on all-cause mortality risk. Findings Between November, 2014, and March, 2015, 21 494 households were identified in 20 towns. Overall, 13 932 valid interviews were done (with information collected for 38 339 relatives [21 634 men and 16 705 women]). Fast privatisation was strongly associated with higher working-age male mortality rates both between 1992 and 1998 (age-standardised mortality ratio in men aged 20–69 years in fast vs slow privatised towns: 1·13, SMR 0·83, 95% CI 0·77–0·88 vs 0·73, 0·69–0·77, respectively) and from 1999 to 2006 (1·15, 0·91, 0·86–0·97 vs 0·79, 0·75–0·84). After adjusting for age, marital status, material deprivation history, smoking, drinking and socioeconomic status, working-age men in fast-privatised towns experienced 13% higher mortality than in slow-privatised towns (95% CI 1–26). Interpretation The rapid pace of privatisation was a significant factor in the marked increase in working-age male mortality in post-Soviet Russia. By providing compelling evidence in support of the health benefits of a slower pace of privatisation, this study can assist policy makers in making informed decisions about the speed and scope of government interventions. ; All authors acknowledge financial support from the European Research Council (ERC). DStu is funded by a Wellcome Trust Investigator Award.

Highly prevalent and typically beginning in childhood, asthma is a burdensome disease, yet the risk factors for this condition are not clarified. To enhance understanding, this study assessed the cohort-specific and pooled risk of maternal education on asthma in children aged 3–8 across 10 European countries. Data on 47,099 children were obtained from prospective birth cohort studies across 10 European countries. We calculated cohort-specific prevalence difference in asthma outcomes using the relative index of inequality (RII) and slope index of inequality (SII). Results from all countries were pooled using random-effects meta-analysis procedures to obtain mean RII and SII scores at the European level. Final models were adjusted for child sex, smoking during pregnancy, parity, mother's age and ethnicity. The higher the score the greater the magnitude of relative (RII, reference 1) and absolute (SII, reference 0) inequity. The pooled RII estimate for asthma risk across all cohorts was 1.46 (95% CI 1.26, 1.71) and the pooled SII estimate was 1.90 (95% CI 0.26, 3.54). Of the countries examined, France, the United Kingdom and the Netherlands had the highest prevalence's of childhood asthma and the largest inequity in asthma risk. Smaller inverse associations were noted for all other countries except Italy, which presented contradictory scores, but with small effect sizes. Tests for heterogeneity yielded significant results for SII scores. Overall, offspring of mothers with a low level of education had an increased relative and absolute risk of asthma compared to offspring of high-educated mothers. ; All phases of this study were supported by a European Union's Seventh Framework Programme grant, 278350, as part of The Determinants to Reduce Health Inequity Via Early Childhood, Realising Fair Employment, and Social Protection (DRIVERS) research programme. The Czech ELSPAC Study (CZ-ELSPAC) was supported by the Ministry of Education of the Czech Republic: CETOCOEN plus project (CZ02101/00/00/15_003/0000469) and RECETOX Research Infrastructure (LM2015051). The Northern Finland Birth Cohort (FI-NFBC8586) received financial support from the Academy of Finland; Biocenter, University of Oulu, Finland; the European Commission EUROBLCS, Framework 5 Award QLG1-CT-2000-01643); EU FP7 EurHEALTHAgeing-277849; the Medical Research Council, UK (PrevMetSyn/SALVE); and the MRC Centenary Early Career Award. The Amsterdam Born Children and their Development Study (NLABCD) received funding from the Netherlands Organization for Health Research and Development (ZonMw) Grant (TOP, 40-00812-98-11010). The All Babies in Southeast Sweden Study (SE-ABIS) has received financial support from the Juvenile Diabetes Research Foundation, Swedish Child Diabetes Foundation (Barndiabetesfonden), The Research Council of South-east Sweden (FORSS), Swedish Research Council K2005-72X-11242-11A, and ALF/County Council of O ̈stergo ̈tland. The INMA study was funded in part by grants from the European Union (FP7-ENV-2011-282957 and HEALTH.2010.2.4.5-1), Spain (Instituto de Salud Carlos III and The Ministry of Health), the Conselleria de Sanitat of the Generalitat Valenciana, department of Health of the Basque Government, the Provincial Government of Gipuzkoa, and the Generalitat de Catalunya-CIRIT. Family and Children of Ukraine (UA-FCOU) study was supported by US NIH Fogarty International Center and National Academy of Medical Sciences of Ukraine. KML is funded by a Medical Research Council UK doctoral training studentship.