Understanding social variation in cardiovascular risk factors in women and men: the advantage of theoretically based measures

Examining the impact of different social class mechanisms on health inequalities: A cross-sectional analysis of an all-age UK household panel study

BACKGROUND

Socioeconomic inequalities are well established across health, morbidity and mortality measures. Social class theory describes how social groups relate, interact and accrue advantages/disadvantages relative to one another, with different theorists emphasising different dimensions. In the context of health inequalities, different social class measures are used interchangeably to rank population groups in terms of health rather than directly exploring the role of social class in creating inequalities. We aim to better understand how four distinct social class mechanisms explain differences in a range of self-reported and biological health outcomes.

METHODS

We use data from the UK Household Longitudinal Study, a representative population survey of UK adults, to identify measures pertaining to Early years, Bourdieusian, Marxist, and Weberian social class mechanisms. Using logistic and least-squares regression we consider the relative extent to which these mechanisms explain differences in health (Self-reported health, SF12 Physical (PCS) and Mental (MCS) Component Scores, General Health Questionnaire; N = 21,446) and allostatic load, a biomarker-based measure of cumulative stress (N = 5003).

RESULTS

Respondents with higher social position according to all social class measures had better self-rated, physical and mental health, and lower allostatic load. Associations with Marxist social class were among the strongest (e.g. Relative Index of Inequality for very good/excellent self-rated health comparing highest versus lowest Marxist social class: 4.96 (4.45, 5.52), with the Weberian measure also strongly associated with self-rated (4.35 (3.90, 4.85)) and physical health (Slope Index of Inequality for SF12-PCS: 7.94 (7.39, 8.48)). Health outcome associations with Bourdieusian and Marxist measures were generally stronger for women and older respondents, and physical health associations with all measures were stronger among those aged 50+ years.

CONCLUSIONS

The impact of social class on health is multi-faceted. Policies to reduce health inequalities should focus more on unequal capital ownership, economic democracy and educational inequalities, reflecting Marxist and Weberian mechanisms.

Foundational Approaches to Advancing Hearing Health Equity: A Primer in Social Epidemiology

Hearing health is inextricably linked to factors beyond biology. Social, demographic, environmental, geographic, and historical influences affect hearing health, but these factors are often unmeasured within traditional biological, clinical, and epidemiological studies of hearing health. With increasing recognition of hearing health over the life course as a public health priority, there is also a growing understanding of existing hearing health inequities at the individual, community, national, and global levels. To make progress in addressing these inequities, public health disciplines, such as social epidemiology, can provide valuable frameworks. With a focus on integrating the biological and functional with social and structural factors influencing health, social epidemiology provides key concepts and approaches for filling existing research and practice gaps. In this review, we introduce the discipline of social epidemiology and its associated concepts to inspire greater cross-disciplinary collaboration for the ultimate goal of advancing hearing health equity.

Trajectories of health-related quality of life by change pattern of objective and subjective social status

Long-term and cumulative social experiences influence an individual's objective and subjective social status. Social determinants of health are more effectively investigated by longitudinal rather than cross-sectional studies. The primary focus of this study was the prospective effect of socioeconomic transition on health-related quality of life trajectories. The study population were adults over 18 years of age who responded in all nine waves of the Korea Health Panel (2009–2017). Data were analyzed by group-based trajectory modeling to identify health trajectories, and group-based multi-trajectory modeling to investigate combined change patterns of objective and subjective social status (i.e., multi-SES trajectories). To predict the effects of underlying socioeconomic measures on health trajectory group membership, we included these time-stable covariates in trajectory modeling and estimated the risk of belonging to each trajectory based on the measures. The health-related quality of life trajectories showed three patterns during the period 2013 to 2017; 13.7% of individuals had a low and declining health trajectory and the others had a higher stable health trajectory. Four types of multi-SES trajectory were derived during the period 2009 to 2013; the richer had a steeper income slope while there were slight changes in subjective social status among all groups. These combined longitudinal SES patterns in 2009–2013 were strong predictors of subsequent health trajectory group membership in 2013–2017. These findings indicate that rich countries, such as South Korea, may encounter growing income inequality, where individuals become entrenched in income disparity that pins down their perceptions of social position. Over time this rigid social structure will widen the gap in health-related quality of life.

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Changes in health are strongly influenced by changes in the combined patterns of objective and subjective social status.

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Objective and subjective social status interact, forming distinct trajectories in the life-course.

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Benefits from society are concentrated on the privileged, exacerbating income inequality and health disparities over time.

Theory driven analysis of social class and health outcomes using UK nationally representative longitudinal data

BACKGROUND

Social class is frequently used as a means of ranking the population to expose inequalities in health, but less often as a means of understanding the social processes of causation. We explored how effectively different social class mechanisms could be measured by longitudinal cohort data and whether those measures were able to explain health outcomes.

METHODS

Using a theoretically informed approach, we sought to map variables within the National Child Development Study (NCDS) to five different social class mechanisms: social background and early life circumstances; habitus and distinction; exploitation and domination; location within market relations; and power relations. Associations between the SF-36 physical, emotional and general health outcomes at age 50 years and the social class measures within NCDS were then assessed through separate multiple linear regression models. R2 values were used to quantify the proportion of variance in outcomes explained by the independent variables.

RESULTS

We were able to map the NCDS variables to the each of the social class mechanisms except 'Power relations'. However, the success of the mapping varied across mechanisms. Furthermore, although relevant associations between exposures and outcomes were observed, the mapped NCDS variables explained little of the variation in health outcomes: for example, for physical functioning, the R2 values ranged from 0.04 to 0.10 across the four mechanisms we could map.

CONCLUSIONS

This study has demonstrated both the potential and the limitations of available cohort studies in measuring aspects of social class theory. The relatively small amount of variation explained in the outcome variables in this study suggests that these are imperfect measures of the different social class mechanisms. However, the study lays an important foundation for further research to understand the complex interactions, at various life stages, between different aspects of social class and subsequent health outcomes.

Sociodemographic differences affecting insufficient fruit and vegetable intake: a population-based household survey of Thai people

Purpose

The sociodemographic determinants of insufficient fruit and vegetable (FV) consumption in the general population in Thailand remain understudied. The purpose of this study was to investigate the association between sociodemographic characteristics and insufficient FV consumption in Thailand.

Design/methodology/approach

This nationally representative survey employed a cross-sectional multi-stage sampling design. A total of 6,991 individuals aged 15 years or older participated in the study. Information on participants' FV consumption and sociodemographic characteristics were collected via questionnaire. The data were analyzed using binary logistic regression.

Findings

The overall prevalence of insufficient FV consumption in the study sample was 65.6%. Age of the participants, sex, marital status, place of residence, occupation, income and education were found to be significantly associated with insufficient FV consumption among this sample of the Thai population.

Originality/value

Findings suggest the need for promotion of FV consumption and intervention policies aimed at increasing FV intake by taking into account sociodemographic characteristics of the population.

Theorising social class and its application to the study of health inequalities

The literature on health inequalities often uses measures of socio-economic position pragmatically to rank the population to describe inequalities in health rather than to understand social and economic relationships between groups. Theoretical considerations about the meaning of different measures, the social processes they describe, and how these might link to health are often limited. This paper builds upon Wright's synthesis of social class theories to propose a new integrated model for understanding social class as applied to health. This model incorporates several social class mechanisms: social background and early years' circumstances; Bourdieu's habitus and distinction; social closure and opportunity hoarding; Marxist conflict over production (domination and exploitation); and Weberian conflict over distribution. The importance of discrimination and prejudice in determining the opportunities for groups is also explicitly recognised, as is the relationship with health behaviours. In linking the different social class processes we have created an integrated theory of how and why social class causes inequalities in health. Further work is required to test this approach, to promote greater understanding of researchers of the social processes underlying different measures, and to understand how better and more comprehensive data on the range of social class processes these might be collected in the future.

Tackling socioeconomic inequalities and non-communicable diseases in low-income and middle-income countries under the Sustainable Development agenda

Five Sustainable Development Goals (SDGs) set targets that relate to the reduction of health inequalities nationally and worldwide. These targets are poverty reduction, health and wellbeing for all, equitable education, gender equality, and reduction of inequalities within and between countries. The interaction between inequalities and health is complex: better economic and educational outcomes for households enhance health, low socioeconomic status leads to chronic ill health, and non-communicable diseases (NCDs) reduce income status of households. NCDs account for most causes of early death and disability worldwide, so it is alarming that strong scientific evidence suggests an increase in the clustering of non-communicable conditions with low socioeconomic status in low-income and middle-income countries since 2000, as previously seen in high-income settings. These conditions include tobacco use, obesity, hypertension, cancer, and diabetes. Strong evidence from 283 studies overwhelmingly supports a positive association between low-income, low socioeconomic status, or low educational status and NCDs. The associations have been differentiated by sex in only four studies. Health is a key driver in the SDGs, and reduction of health inequalities and NCDs should become key in the promotion of the overall SDG agenda. A sustained reduction of general inequalities in income status, education, and gender within and between countries would enhance worldwide equality in health. To end poverty through elimination of its causes, NCD programmes should be included in the development agenda. National programmes should mitigate social and health shocks to protect the poor from events that worsen their frail socioeconomic condition and health status. Programmes related to universal health coverage of NCDs should specifically target susceptible populations, such as elderly people, who are most at risk. Growing inequalities in access to resources for prevention and treatment need to be addressed through improved international regulations across jurisdictions that eliminate the legal and practical barriers in the implementation of non-communicable disease control.

Subclinical coronary atherosclerosis is more pronounced in men and women with lower socio-economic status: associations in a population-based study Coronary atherosclerosis and social status

Background

Social inequalities of manifest coronary heart diseases are well documented in modern societies. Less evidence is available on subclinical atherosclerotic disease despite the opportunity to investigate processes underlying this association. Therefore, we examined the relationship between coronary artery calcification as a sign of subclinical coronary atherosclerosis, socio-economic status and established cardiovascular risk factors in a healthy population.

Design

Cross-sectional.

Methods

In a population-based sample of 4487 men and women coronary artery calcification was assessed by electron beam computed tomography quantified by the Agatston score. Socio-economic status was assessed by two indicators, education and income. First, we investigated associations between the social measures and calcification. Second, we assessed the influence of cardiovascular risk factors on this association.

Results

After adjustment for age, men with 10 and less years of formal education had a 70% increase in calcification score compared with men with high education. The respective increase for women was 80%. For income the association was weaker (among men 20% higher for the lowest compared with the highest quartile; and among women 50% higher, respectively). Consecutive adjustment for cardiovascular risk factors significantly attenuated the observed association of socio-economic status with calcification.

Conclusions

Social inequalities in coronary heart diseases seem to influence signs of subclinical coronary atherosclerosis as measured by coronary artery calcification. Importantly, cumulation of major cardiovascular risk factors in lower socio-economic groups accounted for a substantial part of this association.

A new theory-based social classification in Japan and its validation using historically collected information

Studies of health inequalities in Japan have increased since the millennium. However, there remains a lack of an accepted theory-based classification to measure occupation-related social position for Japan. This study attempts to derive such a classification based on the National Statistics Socio-economic Classification in the UK. Using routinely collected data from the nationally representative Comprehensive Survey of the Living Conditions of People on Health and Welfare, the Japanese Socioeconomic Classification was derived using two variables - occupational group and employment status. Validation analyses were conducted using household income, home ownership, self-rated good or poor health, and Kessler 6 psychological distress (n ≈ 36,000). After adjustment for age, marital status, and area (prefecture), one step lower social class was associated with mean 16% (p < 0.001) lower income, and a risk ratio of 0.93 (p < 0.001) for home ownership. The probability of good health showed a trend in men and women (risk ratio 0.94 and 0.93, respectively, for one step lower social class, p < 0.001). The trend for poor health was significant in women (odds ratio 1.12, p < 0.001) but not in men. Kessler 6 psychological distress showed significant trends in men (risk ratio 1.03, p = 0.044) and in women (1.05, p = 0.004). We propose the Japanese Socioeconomic Classification, derived from basic occupational and employment status information, as a meaningful, theory-based and standard classification system suitable for monitoring occupation-related health inequalities in Japan.

The effects of a psychosocial dimension of socioeconomic position on survival: occupational prestige and mortality among US working adults

The association between education or income and mortality has been explored in great detail. These measures capture both the effects of material disadvantage on health and the psychosocial impacts of a low socioeconomic position on health. When explored independently of educational attainment and income, occupational prestige - a purely perceptual measure - serves as a measure of the impact of a psychosocial phenomenon on health. For instance, a fire-fighter, academician or schoolteacher may carry the social benefits of a higher social status without actually having the income (in all cases) or the educational credentials (in the case of the fire-fighter) to match. We explored the independent influence of occupational prestige on mortality. We applied Cox proportional hazards models to a nationally representative sample of over 380,000 US workers who had worked at any time between 1986 and 1994 with mortality follow up through 2002. We found that occupational prestige is associated with a decrease in the risk of all-cause, cancer, cardiovascular and respiratory-related mortality after controlling for household income and educational attainment. We further investigated the question of whether the effects of prestige are moderated by sex and broader occupational groupings. Prestige effects operate in white-collar occupations for men only and within service occupations for all workers.

Class divisions and health chances in Brazil

This article analyzes the association between class divisions and health chances in the Brazilian population. It uses data from the health supplement of the 2008 National Household Survey. Multiple logistic regression models are estimated to determine the relation between social class and self-rated health status. This empirical investigation of health inequalities combines two modalities for social class comparison, thus benefiting from the potential utility of each. On the one hand, socioeconomic inequalities in health are analyzed with reference to the combination of two main assets, capital and expert knowledge, which generate material and health advantages in Brazil. The results demonstrate that social class measurements for Brazil capture a source of variation in health chances among social groups that is independent of education and family income. On the other hand, the use of theoretically univocal categories for exploring diversified class contrasts offers some explanatory starting points for health inequalities in the Brazilian population.

Socio-economic circumstances and food habits in Eastern, Central and Western European populations

OBJECTIVE

To assess the relationship between several socio-economic indicators and frequency of consumption of seven predefined healthy foods (consumption of fruit, vegetables, wholegrain bread, vegetable-fat spread, vegetable cooking fat, low-fat milk and low-fat cheese) in populations from Eastern, Central and Western Europe.

DESIGN

Analysis of baseline data collected in two cross-sectional cohort studies between 2000 and 2005: the Health, Alcohol and Psychosocial factors In Eastern Europe (HAPIEE) study and the Finnish Helsinki Health Study (HHS).

SETTING

Urban populations in the Czech Republic, Russia, Poland and Finland.

SUBJECTS

In the HAPIEE study, random samples of men and women aged 45-69 years were drawn from population registers and electoral lists of selected cities. In the HHS, men and women aged 40-60 years employed by the City of Helsinki were recruited. Data on 21,326 working subjects from both cohorts were analysed.

RESULTS

Healthy food habits were, in general, positively associated with higher education, occupational position and fewer economic difficulties, but there were differences in the strength of the gradient by food and country. Fruit consumption showed the most consistent gradients, especially in relation to socio-economic status among men (country-specific relative index of inequality (RII)=2.02-5.17) and women (RII=2.09-3.57).

CONCLUSIONS

The associations between socio-economic indicators and healthy food habits showed heterogeneity between countries. Future studies of dietary behaviours should consider multiple measures of socio-economic position.

Cognitive ability, parental socioeconomic position and internalising and externalising problems in adolescence: findings from two European cohort studies

We investigated whether cognitive ability (CA) may be a moderator of the relationship of parental socioeconomic position (SEP) with internalising and externalising problems in adolescents. We used data from two longitudinal cohort studies; the Avon Longitudinal Study of Parents and Children (ALSPAC) and the Tracking Adolescents' Individual Lives Survey (TRAILS). Indicators of SEP were mother's education and household income. CA was estimated with IQ scores, derived from the Wechsler Intelligence Scale for Children. Internalising and externalising problems were measured with the Strengths and Difficulties Questionnaire in ALSPAC and with the Child Behavior Checklist in TRAILS. Logistic regression analyses were used to estimate the relative index of inequality (RII) for each outcome; the RII provides the odds ratio comparing the most to least deprived for each measure of SEP. In fully adjusted models an association of mother's education with externalising problems was observed [ALSPAC RII 1.42 (95%CI: 1.01-1.99); TRAILS RII 2.21 (95%CI: 1.37-3.54)], and of household income with internalising and externalising problems [pooled ALSPAC & TRAILS internalising RII 1.30 (95%CI: 0.99-1.71); pooled ALSPAC & TRAILS externalising RII 1.38 (95%CI: 1.03-1.84)]. No consistent associations were observed between mother's education and internalising problems. Results of stratified analyses and interaction-terms showed no evidence that CA moderated the association of SEP with internalising or externalising problems.

Adult education and child mortality in India: the influence of caste, household wealth, and urbanization

BACKGROUND

Although socioeconomic position is generally found to be related to health, the associations can be different for different measures of socioeconomic position. We examined the association between adult education and child mortality, and the influence of other socioeconomic markers (caste, household wealth, and urbanization) on this association.

METHODS

Data were drawn from the 1998-1999 Indian National Family Health Survey, conducted in 26 states and comprising 66,367 children age 5 years or under. Adult education, for the head of household and spouse, was categorized into 0, 1-8, and 9 or more years of schooling. We used logistic regression to estimate associations between education and child mortality in analysis adjusted for other socioeconomic markers. Effect modification by caste, household wealth, and urbanization was assessed by fitting an interaction term with education.

RESULTS

Compared with those who had no education, 9 or more years of education for the head of household and for the spouse were associated with lower child mortality (odds ratio [OR] = 0.54; 95% confidence interval [CI] = 0.48-0.62 and OR = 0.44; 95% CI = 0.36-0.54, respectively) in analyses adjusted for age, sex, and state of residence. Further adjustments for caste and urbanization attenuated these associations slightly; when adjustments were made for household wealth the associations were attenuated more substantially. Nevertheless, in fully adjusted models, 9 or more years of education for the head of household (OR = 0.81; 95% CI = 0.70-0.93) and the spouse (OR = 0.75; 95% CI = 0.60-0.94) remained associated with lower child mortality. There was no effect modification of this association by caste, household wealth, and urbanization.

CONCLUSION

Adult education has a protective association with child mortality in India. Caste, household wealth, and urbanization do not modify or completely attenuate this association.

Moderate alcohol use and mortality from ischaemic heart disease: a prospective study in older Chinese people

BACKGROUND

Moderate alcohol use is generally associated with lower ischaemic heart disease (IHD) mortality but it is difficult to ascertain whether this is due to attributes of moderate alcohol users or the properties of alcohol itself. Evidence from populations with different patterns of alcohol use and IHD can provide crucial evidence. We assessed the association of moderate alcohol use with IHD mortality in older Chinese people from Hong Kong.

METHODOLOGY

We used Cox regression to determine whether moderate alcohol use was associated with IHD mortality in a prospective, population-based cohort study of all 56,167 attendees, aged 65 years or over, from July 1998 to December 2000 at all 18 Elderly Health Centers operated by the Department of Health in Hong Kong.

PRINCIPAL FINDINGS

After a median follow-up of 4.2 years, there were 406 (188 in men, 218 in women) deaths from IHD in 54,090 subjects (96.3% successful follow-up). Moderate alcohol use in men was not associated with IHD mortality adjusted only for age [Hazard Ratio, HR 1.01 (95% CI 0.55 to 1.84) compared with never drinkers] or additionally adjusted for socio-economic status and lifestyle. Almost all women were occasional drinkers and their current alcohol use was not significantly associated with IHD mortality [HR 0.88, (95% CI 0.51 to 1.53)].

CONCLUSIONS

Moderate alcohol use had no effect on IHD mortality in older Chinese men. Lack of replication of the usual protective effect of moderate alcohol use in a setting with a different pattern of alcohol use and IHD could be due to chance or could suggest that the protective effect of alcohol on IHD does not extend to all populations.

Social determinants of health: a veil that hides socioeconomic position and its relation with health

The emergence of theoretical models of social determinants of health has added conceptual ambiguity to the understanding of social inequalities in health, as it is often not possible to clearly distinguish between socioeconomic position and these determinants. Whether the existence of social inequalities in health is based on differences in health or on differences in social determinants of health that are systematically associated with socioeconomic position, policymakers should be clearly informed of the importance of socioeconomic position for health. Thus, the following three basic requirements are proposed: to reach a consensus about the dimensions that reflect socioeconomic position; to agree about what are to be considered the social determinants of health and whether or not these determinants are a construct that can be distinguished from socioeconomic position; and finally, to establish which dimensions and measures of socioeconomic position are most appropriate for the evaluation of interventions that aim to reduce these inequalities.

The Effects of Childhood Circumstances, Adult Socioeconomic Status, and Material Circumstances on Physical and Mental Functioning: A Structural Equation Modelling Approach

PURPOSE

We sought to examine the importance of childhood circumstances, adult socioeconomic status, and material circumstances to physical and mental functioning among middle-aged women and men.

METHODS

The data were collected among the employees of the City of Helsinki by mailed questionnaires from 2000 to 2002 (7148 women and 1799 men, response rate 67%). Three latent variables covering childhood circumstances, adult socioeconomic status, and material circumstances were constructed from 10 observed socioeconomic indicators. Direct and indirect effects of the latent variables on physical and mental functioning, measured by the SF-36 component summaries, were examined using structural equation modelling.

RESULTS

Childhood circumstances were not directly associated with either physical or mental functioning but had some effect through socioeconomic status. Low socioeconomic status was associated with poor physical functioning, but mental functioning was poorer among those in higher positions. Material circumstances were associated with physical and especially with mental functioning.

CONCLUSIONS

Low socioeconomic status and material circumstances are both important for physical functioning. However, mental functioning does not necessarily follow a similar socioeconomic pattern and the results are heavily influenced by how socioeconomic position is measured.

Pathways from deprivation to health differed between individual and neighborhood-based indices

OBJECTIVE

To explore the role of behavioral and psychosocial factors in explaining the social gradient in self-rated health as defined either by an individual or a neighborhood deprivation index.

STUDY DESIGN AND SETTING

Data were from the baseline survey of the UK Flexible Sigmoidoscopy trial. Recruitment through general practices was stratified to generate a socioeconomically diverse sample (N=5,253, aged 55-64). Assessments included an individual and neighborhood deprivation index, each of which were categorized in four levels; three behavioral and three psychosocial factors; and self-rated health.

RESULTS

Neighborhood deprivation was more strongly related to behavioral than to psychosocial factors, whereas individual deprivation was strongly related to both. The social gradient in poor self-rated health (odds in most compared to least deprived group) was 6.5 for individual and 4.2 for the neighborhood deprivation index. Behavioral and psychosocial variables explained, respectively, 7% and 11% of the individual deprivation gradient and 11% and 4% of the neighborhood gradient. The psychosocial pathway did not significantly mediate the neighborhood deprivation effect on self-rated health.

CONCLUSION

Intermediary pathways of the social gradient in self-rated health differed between individual and neighborhood-based deprivation indices, suggesting at least partly independent influences on poor health of individual and neighborhood-level deprivation.

Multiple socio-economic circumstances and healthy food habits

OBJECTIVE

To examine associations between seven indicators of socio-economic circumstances and healthy food habits, while taking into account assumed temporal order between these socio-economic indicators.

DESIGN AND SETTING

Data were derived from cross-sectional postal questionnaires in 2000-2002. Socio-economic circumstances were assessed by parental education, childhood economic difficulties, own education, occupational class, household income, home ownership and current economic difficulties. Healthy food habits were measured by an index consisting of consumption of fresh vegetables, fruit or berries, rye bread, fish and choosing vegetable fats on bread and oil in cooking. Sequential logistic regression models were used, adjusting for age and marital status.

PARTICIPANTS

Employees of the City of Helsinki, Finland (n=8960, aged 40-60 years).

RESULTS

Healthy food habits were reported by 28% of women and by 17% of men. Own education, occupational class, household income, home ownership and current economic difficulties were associated with healthy food habits. These associations were attenuated but mainly remained after mutual adjustments for the socio-economic indicators. Among women, a pathway was found suggesting that part of the effects of education on food habits were mediated through occupational class.

CONCLUSIONS

Employees in higher and lower socio-economic positions differ in their food habits, and those in lower positions and economically disadvantaged are less likely to report healthy food habits. Health promotion programmes and food policies should encourage healthier food choices among those in lower socio-economic positions and among those with economic difficulties in particular.

Multiple measures of socioeconomic circumstances and common mental disorders

While serious mental disorders typically show socioeconomic differences similar to physical illness-that is, that lower positions imply poorer health-differences for common mental disorders have been inconsistent. We aim to clarify the associations and pathways between measures of socioeconomic circumstances and common mental disorders by simultaneously analysing several past and present socioeconomic measures. The data were derived from middle-aged women and men employed by the City of Helsinki. Cross-sectional surveys were conducted in 2000-2002 among employees who, during each year, reached 40, 45, 50, 55 or 60 years of age. The pooled data include 8970 respondents (80% women; response rate 67%). Common mental disorders were measured by GHQ-12 and the SF-36 mental component summary. Seven socioeconomic measures were included: parental education, childhood economic difficulties, own education, occupational class, household income, home ownership, and current economic difficulties. Logistic regression analysis was used to examine associations between the socioeconomic circumstances and common mental disorders. Past and present economic difficulties were strongly associated with common mental disorders, whereas conventional past and present socioeconomic status measures showed weak or slightly reverse associations. Adjusting for age and gradually for each socioeconomic measure did not affect the main findings, which were very similar for women and men, as well as for both measures of common mental disorders. While the associations of conventional socioeconomic status measures with common mental disorders were weak and inconsistent, our results highlight the importance of past and present economic difficulties to these disorders.

Indicators of socioeconomic position (part 1)

This glossary presents a comprehensive list of indicators of socioeconomic position used in health research. A description of what they intend to measure is given together with how data are elicited and the advantages and limitation of the indicators. The glossary is divided into two parts for journal publication but the intention is that it should be used as one piece. The second part highlights a life course approach and will be published in the next issue of the journal.

Patient characteristics and inequalities in doctors’ diagnostic and management strategies relating to CHD: A video-simulation experiment

Numerous studies examine inequalities in health by gender, age, class and race, but few address the actions of primary care doctors. This factorial experiment examined how four patient characteristics impact on primary care doctors' decisions regarding coronary heart disease (CHD). Primary care doctors viewed a video-vignette of a scripted consultation where the patient presented with standardised symptoms of CHD. Videotapes were identical apart from varying patients' gender, age (55 versus 75), class and race, thereby removing any confounding factors from the social context of the consultation or other aspects of patients' symptomatology or behaviour. A probability sample of 256 primary care doctors in the UK and US viewed these video-vignettes in a randomised experimental design. Gender of patient significantly influenced doctors' diagnostic and management activities. However, there was no influence of social class or race, and no evidence of ageism in doctors' behaviour. Women were asked fewer questions, received fewer examinations and had fewer diagnostic tests ordered for CHD. 'Gendered ageism' was suggested, since midlife women were asked fewest questions and prescribed least medication appropriate for CHD. Primary care doctors' behaviour differed significantly by patients' gender, suggesting doctors' actions may contribute to gender inequalities in health.

Does subjective social status predict health and change in health status better than objective status?

OBJECTIVE

To examine, among middle-aged individuals, if subjective socioeconomic status (SES) predicts health status and change in health status over time better than objective SES.

METHODS

Data are from the Whitehall II study, a prospective study of British civil servants. SES data are drawn from Phase 5 (1997-1999) of the study and health data from Phases 5 and 6 (2000-2001). Physical and mental component scores from the Short Form 36, the General Health Questionnaire, and self-rated health were used to assess health status. Multiple linear regressions were used to examine the relationship between SES and health and change in health status.

RESULTS

Complete data were available on 5486 people. Results show both measures of SES to be global measures of SES. Both measures of SES were significantly associated with health outcomes and with decline in health status over time. However, when both objective and subjective measures of SES are entered simultaneously in the model to predict change in health status, it was only the latter that continues to be significantly associated with health and changes in health.

CONCLUSIONS

Subjective SES is a better predictor of health status and decline in health status over time in middle-aged adults. These results are discussed in terms of three possible explanations: subjective SES is a more precise measure of social position, the results provide support for the hierarchy-health hypothesis, and the results could be an artifact of common method variance.

Socioeconomic position and self-rated health: the contribution of childhood socioeconomic circumstances, adult socioeconomic status, and material resources

OBJECTIVES

We examined socioeconomic inequalities in self-rated health by analyzing indicators of childhood socioeconomic circumstances, adult socioeconomic position, and current material resources.

METHODS

We collected data on middle-aged adults employed by the City of Helsinki (n=8970; 67% response rate). Associations between 7 socioeconomic indicators and health self-ratings of less than "good" were examined with sequential logistic regression models.

RESULTS

After adjustment for age, each socioeconomic indicator was inversely associated with self-rated health. Childhood economic difficulties, but not parental education, were associated with health independently of all other socioeconomic indicators. The associations of respondents' own education and occupational class with health remained when adjusted for other socioeconomic indicators. Home ownership and economic difficulties, but not household income, were the material indicators associated with health after full adjustment.

CONCLUSIONS

Own education and occupational class showed consistent associations with health, but the association with income disappeared after adjustment for other socioeconomic indicators. The effect of parental education on health was mediated by the respondent's own education. Both childhood and adulthood economic difficulties showed clear associations with health and with conventional socioeconomic indicators.

The role of cognitive ability (intelligence) in explaining the association between socioeconomic position and health: evidence from the Whitehall II prospective cohort study

Associations among cognitive ability, socioeconomic position, and health have been interpreted to imply that cognitive ability could explain social inequalities in health. The authors test this hypothesis by examining three questions: Is cognitive ability related to health? To what extent does it explain social inequalities in health? Do measures of socioeconomic position and cognitive ability have independent associations with health? Relative indices of inequality were used to estimate associations, using data from the Whitehall II study (baseline, 1985-1988), a British prospective cohort study (4,158 men and 1,680 women). Cognitive ability was significantly related to coronary heart disease, physical functioning, and self-rated health in both sexes and additionally to mental functioning in men. It explained some of the relation between socioeconomic position and health: 17% for coronary heart disease, 33% for physical functioning, 12% for mental functioning, and 39% for self-rated health. In analysis simultaneously adjusted for all measures of socioeconomic position, cognitive ability retained an independent association only with physical functioning in women. These results suggest that, although cognitive ability is related to health, it does not explain social inequalities in health.

Self-reported economic difficulties and coronary events in men: evidence from the Whitehall II study

BACKGROUND

Numerous studies have demonstrated social inequalities in coronary heart disease using a variety of measures of social position. In this study we examine associations between persistent economic difficulties and serious coronary events. Our aim is to assess whether these associations are (i) explained by other measures of socioeconomic status, and (ii) mediated by psychosocial, behavioural and biological factors.

METHODS

The data come from 5021 middle-aged, white-collar men in the Whitehall II study. Self-reported household financial problems, measured at baseline (1985-88) and Phase 3 (1991-93), were used to construct a five-category score of persistent economic difficulties. Associations between economic difficulties and incident coronary events were determined over an average follow-up of 7 years. Other socioeconomic, psychosocial, behavioural and biological explanatory variables were obtained from the Phase 3 questionnaire and clinical examination.

RESULTS

Age-adjusted Cox regression analyses demonstrated steep gradients in the incidence of coronary events with economic difficulties. The relative hazard between the bottom and the top of the difficulties hierarchy was 2.5 (95% confidence intervals (CI) 1.2-5.2) for fatal and non-fatal myocardial infarction (MI), 2.1 (1.3-3.6) for MI plus definite angina and 2.8 (1.9-4.2) for total coronary events. Adjustment for other markers of socioeconomic position, early life factors, psychosocial work environment characteristics and health-related behaviours had little effect, while adjustment for the biological factors reduced the association between difficulties and coronary events by 16-24%.

CONCLUSION

We have demonstrated an economic difficulties gradient in coronary events in men that is independent of other markers of socioeconomic position and appears to be only partially mediated by well-known risk factors in mid-life.

Risk: a concept analysis

TOPIC

Concept analysis of risk.

PURPOSE

To analyze the concept risk and provide a new definition of risk.

SOURCES

Published literature.

CONCLUSIONS

A new definition of risk that emerged from this concept analysis can provide clarity and direction for future research. Nurse researchers can look to this definition to expand what is known about health-seeking behaviors as opposed to "risk" behaviors and seek to further our understanding of the cognitive and experiential process of risk identification.

Income and risk of ischaemic heart disease in men and women in a Nordic welfare country

BACKGROUND

The inverse relation between ischaemic heart disease (IHD) and income is well known among men, but it remains to be clarified whether the relationship between social gradient and IHD is similar for men and women. The present study explores the associations between income and IHD in men and women in a Nordic country.

METHODS

We used data from two prospective population studies conducted in Copenhagen. A total of 22 782 subjects, 54% women, with initial examination between 1964 and 1992 were followed until 1996 for hospital admission or death from IHD. We performed survival analyses, taking traditional cardiovascular risk factors into account, and estimated IHD-free life expectancy by household income in men and women.

RESULTS

During follow-up, 1803 men and 1258 women experienced an event of IHD (21% fatal). The hazards by deciles of income showed a non-linear graded inverse effect of income, with a large group of middle-income in which income was not associated with risk of IHD. The hazard ratio for highest versus lowest deciles was 0.53 (95% CI: 0.44-0.65). The association was attenuated by adjustment for risk factors, but remained statistically significant. The associations were similar for both sexes. Median IHD-free life expectancy for low-income versus high-income groups was reduced by 9.4 and 7.0 years in men and women, respectively.

CONCLUSIONS

The effect of household income on risk of IHD was graded and similar for men and women. The difference between high and low income, regarding IHD-free life expectancy, was considerable.

Social interaction distance and stratification

There have been calls from several sources recently for a renewal of class analysis that would encompass social and cultural, as well as economic elements. This paper explores a tradition in stratification that is founded on this idea: relational or social distance approaches to mapping hierarchy and inequality which theorize stratification as a social space. The idea of 'social space' is not treated as a metaphor of hierarchy nor is the nature of the structure determined a priori. Rather, the space is identified by mapping social interactions. Exploring the nature of social space involves mapping the network of social interaction--patterns of friendship, partnership and cultural similarity--which gives rise to relations of social closeness and distance. Differential association has long been seen as the basis of hierarchy, but the usual approach is first to define a structure composed of a set of groups and then to investigate social interaction between them. Social distance approaches reverse this, using patterns of interaction to determine the nature of the structure. Differential association can be seen as a way of defining proximity within a social space, from the distances between social groups, or between social groups and social objects (such as lifestyle items). The paper demonstrates how the very different starting point of social distance approaches also leads to strikingly different theoretical conclusions about the nature of stratification and inequality.

Subjective social status: its determinants and its association with measures of ill-health in the Whitehall II study

The purpose of this study was twofold-(1) investigate the role of subjective social status as a predictor of ill-health, with a further exploration of the extent to which this relationship could be accounted for by conventional measures of socioeconomic position; (2) examine the determinants of a relatively new measure of subjective social status used in this study. A 10 rung self-anchoring scale was used to measure subjective social status in the Whitehall II study, a prospective cohort study of London-based civil service employees. Results indicate that subjective status is a strong predictor of ill-health, and that education, occupation and income do not explain this relationship fully for all the health measures examined. The results provide further support for the multidimensional nature of both social inequality and health. Multiple regression shows subjective status to be determined by occupational position, education, household income, satisfaction with standard of living, and feeling of financial security regarding the future. The results suggest that subjective social status reflects the cognitive averaging of standard markers of socioeconomic situation and is free of psychological biases.

Multiple measures of socio-economic position and psychosocial health: proximal and distal measures

BACKGROUND

The aim of this paper is to compare three models for exploring the links between different measures of adult socioeconomic position (SEP)-education, occupation, income-and psychosocial health. Model I is a basic univariate regression model with psychosocial health as the outcome and a measure of SEP as the predictor. Model II is a multiple regression model with psychosocial health as the outcome with all three measures of SEP allocated the same temporal position as predictors. Model III treats education, a distal measure of SEP, as antecedent to the proximal measures of SEP in the prediction equations linking SEP to health.

METHODS

Participants were drawn from the Whitehall II study, a prospective cohort study of British civil servants. Data analysed here are from Phase 5 (1997-1999) of data collection, 7830 individuals in all. The measures of SEP and psychosocial health were assessed via a self-administered questionnaire.

RESULTS

The three models can lead to completely different conclusions. Model III, our preferred model, shows education to have a stronger indirect effect on psychosocial health when compared to its direct effect. The indirect effect is due to the effect of education on proximal measures of social position, occupation, and income in this case.

CONCLUSIONS

Results reported here support the hypothesis that a comparison of the relative importance of the different measures of social position in predicting health is meaningless if the causal relationships among these measures are not accounted for.

Developing an understanding of gender sensitive care: exploring concepts and knowledge

BACKGROUND

In the United Kingdom (UK), concern about inequalities in health and health care has led to interest in gender sensitivity in health policy and practice.

AIM

To develop an understanding of possibilities for gender sensitive care through exploring the concepts of gender and gender sensitivity and through reviewing relevant knowledge about gender and health.

METHODS

The dimensions of the concept of gender and theories explaining gender relations are explored through a review of key social science texts. A discussion of gender sensitivity draws on Bowden's analysis of gender sensitive ethics. A literature review of evidence about gender and health identifies relevant knowledge for gender sensitive care.

FINDINGS

Seven features of the concept of gender are identified. Gender sensitivity involves an understanding of the socio-political context of experience and relationships. The social context also affects health. Differences in male and female mortality and morbidity rates are likely to be related to differences in economic resources, differences in men and women's position in public and private worlds, to power in social relations and to sexuality and body image. Possibilities for gender sensitive care may be supported through feminist approaches and through a postmodernist understanding of the manner in which discourses shape our understanding of gender and gender relations. Valuing care is a feature of gender sensitivity.

CONCLUSION

Gender sensitive care involves recognizing the significance of research related to social influences on health and understanding nursing in its socio-political context, and care in the context of gender relations. Experiential learning can synthesize learning across varied learning modes, bridging learning through experience and formal analysis. Exploring concepts, evidence about gender and health and personal experience will all be important in the development of gender sensitive care.

The socioeconomic status of older adults: how should we measure it in studies of health inequalities?

STUDY OBJECTIVE

To identify which of seven indicators of socioeconomic status used singly or combined with one other would be most useful in studies of health inequalities in the older population.

DESIGN

Secondary analysis of socioeconomic and health data in a two wave survey.

SETTING

Great Britain. Participants were interviewed at home by a trained interviewer.

PARTICIPANTS

Nationally representative sample of 3543 adults aged 55-69 interviewed in 1988/9, 2243 of whom were interviewed again in 1994.

METHODS

Desirable features of socioeconomic measurement systems for identifying health inequalities in older populations were identified with reference to the literature. Logistic regression was used to examine variations in self reported health by seven indicators of socioeconomic status. The pair of indicators with the greatest explanatory power was identified.

MAIN RESULTS

All indicators were significantly associated with differences in self reported health. The best pair of variables, according to criteria used, was educational qualification or social class paired with a deprivation indicator.

DISCUSSION

For a range of reasons the measurement of socioeconomic status is particularly challenging in older age groups. Extending our knowledge of which indicators work well in analyses and are relatively easy to collect should help both further study of health inequalities in the older population and appropriate planning.

[Contribution of women and low-income households to the provision of informal home healthcare]

OBJECTIVE

To determine gender and socioeconomic inequalities in the production of informal home health care.

METHODS

Cross-sectional survey. The study population was formed by 17.907 individuals interviewed in 1994 in the Spanish sample of 1994 the European Community Household Panel. The number of caregivers in the sample is 1.305 individuals (7.3% of the total). Two outcome measures were analysed: the risk of being an informal caregiver and the risk of caring more than 28 h weekly. The independent variables were the household income level, occupation, gender, age and self-perceived health status. The odds ratio are obtained from logistic regression models.

RESULTS

Women are more likely than men to provide care for someone (74.4%). Low-income individual without occupation bear the greatest probability of providing care more than 28 h weekly OR = 2.24 (1.45-3.47). Bad self-perceived health status in people with occupation is associated with being a full-time caregiver OR = 4.51 (1.48-13.68). Age increase the probability both of being an informal caregiver and to care more than 28 hours a week.

CONCLUSION

Women, low-income social classes and aged people bear the greatest burden of giving care.

Social patterns of birth weight in Hong Kong, 1984-1997

Fetal growth is an indicator of social inequalities in health that may have a long-term impact persisting into later life. Little is known about the social patterns of birth weight in Hong Kong. This is a study of live-born singletons from 1984 to 1997 in a Hong Kong birth registry. Ordinary least-squares regression and logistic regression are used to analyse birth weight and low birth weight (< 2500 g), respectively. A gradient of birth weight and prevalence of low birth weight is demonstrated according to mothers' educational attainment. In relation to babies of the most educated mothers, babies of the least educated mothers had a mean deficit of 46g in birth weight and an odds ratio of 1.56 of low birth weight (each P<0.05). This social gradient was hidden unless parity was adjusted for. Unexpectedly, migrants from mainland China delivered heavier rather than lighter babies (each P<0.05). Type of living quarters and parental relation were also related to birth weight and low birth weight (each P<0.05). Continuous monitoring of the social patterns of birth weight is recommended.

Ethnic and class differences in health in relation to British South Asians: using the new National Statistics Socio-Economic Classification

The paper examines the use of the new measure of social class in the UK, the National Statistics Socio-Economic Classification (NS-SEC) and other socio-economic variables in explaining differences in health between British South Asians and the majority White population. There are a number of hypotheses which try to explain ethnic differences in health and yet there have been relatively few empirical studies which test the explanatory value of these hypotheses. Cross sectional data from the fourth National Survey of Ethnic Minorities (1993-1994) with 2860 white, 1268 Indian and 1771 Pakistani and Bangladeshi adult respondents are analysed. The associations of self-rated health with ethnicity, social class, local area deprivation and standard of living are analysed. Pakistani and Bangladeshi respondents have the poorest self-rated health, followed by Indians. Differences in self-rated health between ethnic groups reduce to non-significance after adjusting for social class, local area deprivation and standard of living. There is some evidence of social class differences in the health of Indians and not much evidence for Pakistanis and Bangladeshis. The NS-SEC is useful in explaining ethnic differences in health. The poorer health of Indians, Pakistanis and Bangladeshis compared to Whites may be largely understood in terms of factors related to occupational social class, material living conditions and local area deprivation.

Dimensions of social inequality in the health of women in England: occupational, material and behavioural pathways

This paper examines the role of behavioural and psychosocial risk and protective factors in explaining social inequalities in the general self-assessed health of women. Using path analysis, data from the Health Survey for England (1993) are used to demonstrate how different dimensions of social position (working conditions, general social advantage and material deprivation) have distinct pathways to ill-health. Smoking, diet, alcohol consumption, exercise, social support and job strain were all related to poorer health, but not always in the predicted direction. The effects of social position on health were not fully mediated through these risk and protective factors. Each dimension of social position had unique pathways to ill-health via other unidentified mechanisms. Furthermore, the salience of the three dimensions of social position differed according to the level of labour market attachment. Different path models are required to fit the data for women at home or in full-time or part-time work.