Early childhood health,reproduction of economic inequalities and the persistence of health and mortality differentials

The persistence of adult health and mortality socioeconomic inequalities and the equally stubborn reproduction of social class inequalities are salient features in modern societies that puzzle researchers in seemingly unconnected research fields. Neither can be satisfactorily explained with standard theoretical frameworks. In the domain of health and mortality, it is unclear if and to what an extent adult health and mortality disparities across socioeconomic status (SES) are the product of attributes of the positions themselves, the partial result of health conditions established earlier in life that influence both adult health and economic success, or the outcome of the reverse impact of health status on SES. In the domain of social stratification, the transmission of inequalities across generations has been remarkably resistant to satisfactory explanations. Although the literature on social stratification is by and large silent about the role played by early health status in shaping adult socioeconomic opportunities, new research on human capital formation suggests this is a serious error of omission. In this paper we propose to investigate the connections between these two domains. We use data from male respondents of the 1958 British Cohort to estimate (a) the influence of early health conditions on adult SES and (b) the contribution of early health status to observed adult health differentials. The model incorporates early conditions as determinants of traits that enhance (inhibit) social mobility and also conventional and unconventional factors that affect adult health and socioeconomic status. Our findings reveal that early childhood health plays a small, but non-trivial role as a determinant of adult SES and the adult socioeconomic gradient in health. These findings enrich current explanations of SES inequalities and of adult health and mortality disparities.     

The persistence of health inequalities in modern welfare states: the explanation of a paradox

The persistence of socioeconomic inequalities in health, even in the highly developed 'welfare states' of Western Europe, is one of the great disappointments of public health. Health inequalities have not only persisted while welfare states were being built up, but on some measures have even widened, and are not smaller in European countries with more generous welfare arrangements. This paper attempts to identify potential explanations for this paradox, by reviewing nine modern 'theories' of the explanation of health inequalities. The theories reviewed are: mathematical artifact, fundamental causes, life course perspective, social selection, personal characteristics, neo-materialism, psychosocial factors, diffusion of innovations, and cultural capital. Based on these theories it is hypothesized that three circumstances may help to explain the persistence of health inequalities despite attenuation of inequalities in material conditions by the welfare state: (1) inequalities in access to material and immaterial resources have not been eliminated by the welfare state, and are still substantial; (2) due to greater intergenerational mobility, the composition of lower socioeconomic groups has become more homogeneous with regard to personal characteristics associated with ill-health; and (3) due to a change in epidemiological regime, in which consumption behavior became the most important determinant of ill-health, the marginal benefits of the immaterial resources to which a higher social position gives access have increased. Further research is necessary to test these hypotheses. If they are correct, the persistence of health inequalities in modern European welfare states can partly be seen as a failure of these welfare states to implement more radical redistribution measures, and partly as a form of 'bad luck' related to concurrent developments that have changed the composition of socioeconomic groups and made health inequalities more sensitive to immaterial factors. It is argued that normative evaluations of health inequalities should take these explanations into account, and that a direct attack on the personal, psychosocial and cultural determinants of health inequalities may be necessary to achieve a substantial reduction of health inequalities.     

The structuring of ethnic inequalities in health: economic position,racial discrimination,and racism

Differences in health across ethnic groups have been documented in the United States and the United Kingdom. The extent to which socioeconomic inequalities underlie such differences remains contested, with many instead focusing on cultural or genetic explanations. In both the United States and the United Kingdom, data limitations have greatly hampered investigations of ethnic inequalities in health. Perhaps foremost of these is the inadequate measurement of ethnicity, but also important is the lack of good data on socioeconomic position, particularly data that address life-course issues. Other elements of social disadvantage, particularly experiences of racism, are also neglected. The author reviews existing evidence and presents new evidence to suggest that social and economic inequalities, underpinned by racism, are fundamental causes of ethnic inequalities in health.     

Evolution of the determinants of health,health policy,and health information systems in Canada

The history of health determinants in Canada influenced both the direction of data gathering about population health and government policies designed to improve health. Two competing movements marked these changes. The idea of health promotion grew out of the 1974 Lalonde report, which recognized that determinants of health went beyond traditional public health and medical care, and argued for the importance of socioeconomic factors. Research on health inequalities was led by the Canadian Institute for Advanced Research in the 1980s, which produced evidence of health inequalities along socioeconomic lines and argued for policy efforts in early child development. Both movements have shaped current information gathering and the policies that have come to be labeled "population health."     

Socioeconomic status and health in the Japanese population

There is growing interest in the influence of socioeconomic status (SES) on health. Individual SES has been shown to be closely related to mortality, morbidity, health-related behavior and access to health care services in Western countries. Whether the same set of social determinants accounts for higher rates of mortality or morbidity in Japan is questionable, because over the past decade the magnitude of the social stratification within the society has increased due to economic and social circumstances. SES must be interpreted within the economic, social, demographic and cultural contexts of a specific country. In this report we discuss the impact of individuals' socioeconomic position on health in Japan with regard to educational attainment, occupational gradient/class, income level, and unemployment.This review is based mainly on papers indexed in Medline/PubMed between 1990 and 2007. We find that socioeconomic differences in mortality, morbidity and risk factors are not uniformly small in Japan. The majority of papers investigate the relationship between education, occupational class and health, but low income and unemployment are not examined sufficiently in Japan. The results also indicate that different socioeconomic contexts and inequality contribute to the mortality, morbidity, and biological and behavioral risk factors in Japan, although the pattern and direction of the relationships may not necessarily be the same in terms of size, pattern, distribution, magnitude and impact as in Western countries. In particular, the association between higher occupational status and lower mortality, as well as higher educational attainment and either mortality or morbidity, is not as strongly expressed among the Japanese. Japan is still one of the healthiest and most egalitarian nations in the world, and social inequalities within the population are less expressed. However, the magnitude of the social stratification has started to increase, and this is an alarming sign.     

Gender differences in the influence of economic,lifestyle, and psychosocial factors on later-life health

BACKGROUND: Gender differences in exposure to social resources play a significant role in influencing gender inequalities in health. A related question--and our focus--asks whether these inequalities are also influenced by gendered vulnerabilities to social forces. Specifically, this paper examines the differential impact of social forces on the health of elderly (65+) men and women. METHODS: Multiple linear regression analysis is used to estimate gender differences in the influence of socioeconomic, lifestyle, and psychosocial factors on both self-rated health and overall functional health using data from the 1994-1995 National Population Health Survey. RESULTS: Key findings include: 1) the relationship between income and health is significant for older women only, whereas the converse holds for education; 2) having an acceptable body weight is positively associated with health for elderly women only; and 3) stress-related factors are stronger determinants of health for older women. INTERPRETATION: Our findings shed light on the processes of healthy aging for men and women, and suggest that interventions to improve the health of elderly Canadians need to be gender-specific.     

Health inequalities and welfare state regimes: theoretical insights on a public health 'puzzle'

Welfare states are important determinants of health. Comparative social epidemiology has almost invariably concluded that population health is enhanced by the relatively generous and universal welfare provision of the Scandinavian countries. However, most international studies of socioeconomic inequalities in health have thrown up something of a public health 'puzzle' as the Scandinavian welfare states do not, as would generally be expected, have the smallest health inequalities. This essay outlines and interrogates this puzzle by drawing upon existing theories of health inequalities--artefact, selection, cultural--behavioural, materialist, psychosocial and life course--to generate some theoretical insights. It discusses the limits of these theories in respect to cross-national research; it questions the focus and normative paradigm underpinning contemporary comparative health inequalities research; and it considers the future of comparative social epidemiology.     

Testing relationships among determinants of health, health policy, and self-assessed health status in Quebec.

By removing financial barriers, the Canada Health Act (1984) equalized access to health care services in Canada. Yet class, educational, and geographical disparities in individual and population health status persist. Recent health reform policies in Quebec assert that health and well-being are a function of income, educational level, housing conditions, employment, and other socioeconomic factors. They suggest that health policy should encompass social policies that influence individual and community socioeconomic factors which in turn affect health. Against the backdrop of these reforms, this study tests the importance of socioeconomic factors as a determinant of health--while controlling for other known determinants through a logistic regression model--with data from the Santé Quebec health surveys 1987 and 1992-93. The results confirm the importance of economic security as a determinant of individual health. This effect appears to operate through an individual income variable and through the community-level variable of regional unemployment. The importance of the income effect declined between 1987 and 1992-93. This may indicate that an increased focus on the socioeconomic determinants of health has reduced inequalities in health. It may also mean that health inequalities appear inevitable until health care policy merges completely with broader health and social policies. But such integration may well conflict with economic (and political) imperatives of the post-Fordist capitalist system.     

Health Inequalities among Older Adults in Spain: The Importance of Gender,the Socioeconomic Development of the Region of Residence,and Social Support

BackgroundThis study analyzes health inequalities among older adults in Spain by adopting a conceptual framework that globally considers two dimensions of health determinants (gender and the socioeconomic development of the region of residence) and the mediating influence of social support, taking into account individual socioeconomic position.MethodsData came from the 2006 Spanish National Health Interview Survey. A subsample of people aged 65 to 85 years with no paid work living in two socioeconomically developed regions situated in the north of Spain and in two less developed ones situated in the south was selected. The health outcomes analyzed were self-rated health status and poor mental health status. Multiple logistic regression models were fitted and covariates (age, socioeconomic position, household type, and social support) were added in subsequent steps.FindingsSelf-rated health status among older adults was poorer in the less socioeconomically developed regions, but especially among women, whereas the poorest mental health status was found in one of the most socioeconomically developed regions, especially for men. Social support was an important determinant of health status, regardless of the socioeconomic development of the region. Gender inequalities in health did not differ by regional socioeconomic development with one exception regarding poor self-rated health.ConclusionThese results show the importance of implementing stronger gender equity policies, as well as reducing socioeconomic inequalities among regions and strengthen social support among older adults.     

From causes to solutions - insights from lay knowledge about health inequalities

Background  

This paper reports on a qualitative study of lay knowledge about health inequalities and solutions to address them. Social determinants of health are responsible for a large proportion of health inequalities (unequal levels of health status) and inequities (unfair access to health services and resources) within and between countries. Despite an expanding evidence base supporting action on social determinants, understanding of the impact of these determinants is not widespread and political will appears to be lacking. A small but growing body of research has explored how ordinary people theorise health inequalities and the implications for taking action. The findings are variable, however, in terms of an emphasis on structure versus individual agency and the relationship between being 'at risk' and acceptance of social/structural explanations.     

Types of social capital resources and self-rated health among the Norwegian adult population

Background  

Social inequalities in health are large in Norway. In part, these inequalities may stem from differences in access to supportive social networks - since occupying disadvantaged positions in affluent societies has been associated with disposing poor network resources. Research has demonstrated that social networks are fundamental resources in the prevention of mental and physical illness. However, to determine potentials for public health action one needs to explore the health impact of different types of network resources and analyze if the association between socioeconomic position and self-rated health is partially explained by social network factors. That is the aim of this paper.     

Gender differences in health: a Canadian study of the psychosocial, structural and behavioural determinants of health

Gender-based inequalities in health have been frequently documented. This paper examines the extent to which these inequalities reflect the different social experiences and conditions of men's and women's lives. We address four specific questions. Are there gender differences in mental and physical health? What is the relative importance of the structural, behavioural and psychosocial determinants of health? Are the gender differences in health attributable to the differing structural (socio-economic, age, social support, family arrangement) context in which women and men live, and to their differential exposure to lifestyle (smoking, drinking, exercise, diet) and psychosocial (critical life events, stress, psychological resources) factors? Are gender differences in health also attributable to gender differences in vulnerability to these structural, behavioural and psychosocial determinants of health? Multivariate analyses of Canadian National Population Health Survey data show gender differences in health (measured by self-rated health, functional health, chronic illness and distress). Social structural and psychosocial determinants of health are generally more important for women and behavioural determinants are generally more important for men. Gender differences in exposure to these forces contribute to inequalities in health between men and women, however, statistically significant inequalities remain after controlling for exposure. Gender-based health inequalities are further explained by differential vulnerabilities to social forces between men and women. Our findings suggest the value of models that include a wide range of health and health-determinant variables, and affirm the importance of looking more closely at gender differences in health.     

'Just do it': An analysis of accounts of control over health amongst lower socioeconomic status groups

Recent interest in health inequalities research has focused upon psychosocial factors such as a sense of control. Previous work has sought to measure or describe personal beliefs about control over health without addressing the contradictory and rhetorical dimensions of such accounts. These issues are explored through an analysis of interviews with 30 lower socioeconomic status (SES) participants drawn from two qualitative studies of health inequalities. Key findings concern the rhetorical construction and interweaving of two contrasting positions regarding control over health: fatalism and positive thought. Fatalistic talk provided a means by which participants acknowledged their limited control over health, although not in an exclusively negative manner. Talk about thinking positively enabled participants to present themselves as having agency in the face of adversity. The creative interweaving of these two positions in accounts of control over health enabled participants to navigate the moral imperative of responsibility for health in the context of adverse and capricious circumstance. By foregrounding the social character of accounts of control the significance of moral and ethical dimensions for health inequalities research and practice are highlighted.     

Building an inter-disciplinary science of health inequalities: the example of lifecourse research

Across the post-industrial world, new public health strategies are being developed with the goal of reducing the socio-economic gradient in health. These new strategies are distinguished by a commitment to tackling the macro determinants of health inequalities through policies informed by scientific evidence. The engagement with macro determinants and with scientific evidence presents a major challenge to the health inequality research community. This is not only because of the complexity of the links between distal causes, proximal risk factors and health outcomes. It is also and more importantly because of the narrow disciplinary base of health inequality research. Grounded in social epidemiology, health inequality research has illuminated the pathways which run from individual socio-economic position to health-but has left in shadow the factors which influence socio-economic position. Broadening the evidence base to include these structural processes requires a new science of health inequalities, resourced both by epidemiological research and by research on social inequality and social exclusion. The paper demonstrates how such an inter-disciplinary science can be constructed. Taking lifecourse research as its example and the UK as its case study, it nests epidemiological research within social policy research: setting evidence on the health consequences of cumulative exposures within research on lifecourse dynamics, and locating both within analyses of how state policies can amplify or moderate inequalities in socio-economic position.     

Income-related health inequalities in France in 2004: Decomposition and explanations

BackgroundThis analysis supplements existing work on social health inequalities at two levels: the measurement of health and the measurement of inequalities. Firstly, individual health status was measured using a subjective health indicator corrected within a promising cardinalisation method which had not yet been carried out on French data. Secondly, this study used an innovative methodology to measure income-related health inequalities, to understand the relationships between income, income inequality, various social determinants, and health.MethodsThe analysis was based on a sample of working-age adults from the 2004 Health and Health Insurance Survey. The methodology used in the study measures the total income-related health inequality using the concentration index. This index is based on a linear model explaining health according to several individual characteristics, such as age, sex, and various socioeconomic characteristics. The method thus takes into account both the causal relationships between the various explicative factors introduced in the model and their relationship with health. Furthermore, it concretely measures the contribution of the social determinants to income-related health inequalities.ResultsThe results show an income-related health inequality favouring individuals with a higher income. Moreover, income level, supplementary private health insurance, education level, and social class account for the main contributions to inequality. Therefore, the decomposition method highlights population groups that policies should target.ConclusionThe study suggests that reducing income inequality is not sufficient to lower income-related health inequalities in France in 2004 and needs to be supplemented with the reduction of the relationship between income and health and the reduction of income inequality over socioeconomic status.     

Social health inequalities among older Europeans: the contribution of social and family background

This analysis aims to get a step further in the understanding of the determining factors of social health inequalities, and to explore particularly the role played by parents’ social status and their vital status or age at death on the social health inequalities in adulthood among European older adults. The wealth-related health inequalities are measured using the popular concentration index. We then implement the decomposition method of the indices and evaluate the contribution of the various determinants of health introduced in interval regression models. Health is measured using self-assessed health and country-specific cut-points that correct observed differences in self-report due to cross-cultural differences in reporting styles. This paper uses data for ten European countries from the first wave of the 2004 SHARE. The study highlights significantly higher wealth-related health inequalities in the Netherlands, Denmark and Germany. These social inequalities of health in Europe are explained largely by individuals’ current social conditions, particularly wealth. Nevertheless, our analysis attests the existence of a long-term influence of initial conditions in childhood on health in middle-aged and beyond, independently of current social characteristics, which contribute to differences in health status across social groups. This article contributes to the identification of social determinants, which are important determinants of health and follows recommendations suggested to help ‘close the gap’ in various health inequities.     

Learning to live with complexity: ethnicity, socioeconomic position, and health in Britain and the United States

The relation between ethnicity, socioeconomic position, and health is complex, has changed over time, and differs between countries. In the United States there is a long tradition of treating ethnic group membership simply as a socioeconomic measure, and differentials in health status between African Americans and groups of European origin have been considered purely socioeconomic. A contrary position sees the differences as either "cultural" or due to inherent "racial" differences. Although conventional socioeconomic indicators statistically explain much of the health difference between African Americans and Americans of European origin, they do not tell the full story. Incommensurate measures of socioeconomic position across ethnic groups clearly contribute to this difference. Additional factors, such as the extent of racism, are also likely to be important. The interaction of ethnicity, social position, and health in Britain is similarly complex. Studies that inadequately account for socioeconomic circumstances when examining ethnic-group differences in health can reify ethnicity (and its supposed correlates); however, the reductionist attribution of all ethnic differences in health to socioeconomic factors is untenable. The only productive way forward is through studies that recognize the contingency of the relations between socioeconomic position, ethnicity, and particular health outcomes.     

Social determinants and inequalities in urban health

Social and environmental factors are health determinants, in association with behavior, biological factors, and health services. Whereas socioeconomic characteristics (age, gender, ethnicity, social status) describe individuals, social determinants work through broader policies that are influenced by governments. The relation between health and four social areas is discussed. Social capital, measured as social networks and social support, appears to be protective in developing some heart disease and mental illnesses; job control at work is also found to protect against heart disease; early life experiences affect both biological and social development; and the degree of income inequality within societies correlates with health status. The Independent Report on Inequalities in Health, published in the United Kingdom in 1998, is also reviewed. The report (a) briefly describes inequalities in health by social class, sex, and ethnicity; (b) reviews the literature on policy areas that affect health; (c) includes a section indicating relatively little inequality of access or provision in the National Health Service; and (d) makes 132 recommendations. Social determinants is a new area of research having the potential to link epidemiology and environmental sciences at small area level.     

Sometimes more equal than others: how health inequalities depend on the choice of welfare indicator

In recent years, a large body of empirical work has focused on measuring and explaining socio-economic inequalities in health outcomes and health service use. In any effort to address these questions, analysts must confront the issue of how to measure socioeconomic status. In developing countries, socioeconomic status has typically been measured by per capita consumption or an asset index. Currently, there is only limited information on how the choice of welfare indicators affect the analysis of health inequalities and the incidence of public spending. The purpose of this paper is to illustrate the potential sensitivity of the analysis of health related inequalities to how socioeconomic status is measured. Using data from Mozambique, the paper focuses on five key health service indicators, and tests whether measured inequality (concentration index) in health service utilization differs depending on the choice of welfare indicator. The paper shows that, at least in some contexts, the choice of welfare indicator can have a large and significant impact on measured inequality in utilization of health services. In consequence, we can reach very different conclusions about the 'same' issue depending on how we define socioeconomic status. The paper also provides some tentative conclusions about why and in what contexts health inequalities can be sensitive to the choice of living standards measure. The results call for more clarity and care in the analysis of health related inequalities, and for explicit recognition of the potential sensitivity of findings to the choice of welfare measure. The results also point at the need for more careful research on how different dimensions of SES are related, and on the pathways by which the respective different dimensions impact on health related variables.