Socioeconomic disparities in health change in a longitudinal study of US adults: the role of health-risk behaviors

Cumulative social disadvantage and child health

CONTEXT

Disparities in child health are a major public health concern. However, it is unclear whether these are predominantly the result of low income, race, or other social risk factors that may contribute to their health disadvantage. Although others have examined the effects of the accumulation of risk factors, this methodology has not been applied to child health.

OBJECTIVE

We tested 4 social risk factors (poverty, minority race/ethnicity, low parental education, and not living with both biological parents) to assess whether they have cumulative effects on child health and examined whether access to health care reduced health disparities.

DESIGN

We analyzed data on 57,553 children <18 years from the 1994 and 1995 National Health Interview Survey Disability Supplement. Of the 4 risk factors, 3 (poverty, low parental education, and single-parent household) were consistently associated with child health. These were summed, generating the Social Disadvantage Index (range: 0-3).

RESULTS

A total of 43.6% of children had no social disadvantages, 30.8% had 1, 15.6% had 2, and 10.0% had all 3. Compared with those with no social disadvantages, the odds ratios (ORs) of being in "good, fair, or poor health" (versus "excellent or very good") were 1.95 for 1 risk, 3.22 for 2 risks, and 4.06 for 3 risks. ORs of having a chronic condition increased from 1.25 (1 risk) to 1.60 (2 risks) to 2.11 (3 risks). ORs for activity limitation were 1.51 (1 risk) to 2.14 (2 risks) and 2.88 (3 risks). Controlling for health insurance did not affect these findings.

CONCLUSIONS

The accumulation of social disadvantage among children was strongly associated with poorer child health and having insurance did not reduce the observed health disparities.

Diet Quality of Atlantic Families Headed by Single Mothers

Purpose: As part of a larger study on food insecurity and dietary adequacy of low-income lone mothers and their children in Atlantic Canada, we examined diet quality among household members.

Methods: Network sampling for ‘difficult to sample’ populations was used to identify mothers living below the poverty line and alone with at least two children under age 14. Trained dietitians administered 24-hour dietary recalls weekly for one month to mothers on the dietary intake of themselves and their children. We calculated Healthy Eating Index category scores for eligible mothers (129) and children (303) using Canada’s Food Guide to Healthy Eating and the Nutrition Recommendations for Canadians.

Results: Diet quality of low-income lone mothers was poor (35.5%) or in need of improvement (64.5%), with no mother having a good diet. The diet quality of children varied by age, with 22.7% of children aged one to three having a good diet or needing improvement (74.6%), 2.1% of children aged four to eight and no child aged nine to 14 having a good diet, while the diets of about 85% of older children in both age categories needed improvement.

Conclusions: Younger children seem to be protected from poor quality diets in households with limited resources to acquire food.

The relationship between active living and health-related quality of life: income as a moderator

This study used a moderator model to examine the relationship between active living and the physical components of health-related quality of life [i.e. overall physical component of quality of life (PQOL), physical functioning and ability to fulfill physical role] among a randomly selected sample of rural residents (n = 407) from the Midwestern US. Results showed that active living was associated with greater increases in health-related quality of life for those reporting lower income. The effect size of the relationship between active living and the PQOL for the low-income group was over 2 times the effect size for the high-income group. For physical functioning, the effect size of active living for the low-income group was greater than 3 times the effect size for the high-income group. Although active living behaviors have been demonstrated to be less prevalent among those of low socioeconomic status, this group may have the most to gain from these activities. Findings highlight the need for increased and specifically targeted promotion of active living interventions.

Continuity and change in the social stratification of aging and health over the life course: evidence from a nationally representative longitudinal study from 1986 to 2001/2002 (Americans' Changing Lives Study)

OBJECTIVES

This article overviews previously published and ongoing research from the Americans' Changing Lives (ACL) Study, a longitudinal study of a nationally representative sample of 3,617 adults aged 25 years and older when first interviewed in 1986, focusing on socioeconomic disparities in the way health changes with age during middle and later life, especially in terms of compression of morbidity/functional limitations.

METHODS

A variety of descriptive and multivariate regression and growth curve analyses are done on the ACL sample, now surveyed over four waves spanning 15.5 years between 1986 and 2001/2002 with continuing mortality ascertainment via the National Death Index, death certificate searches, and informant reports.

RESULTS

Both cross-sectional and longitudinal analyses indicate that socioeconomic disparities in health are small in early adulthood, increase through middle and early old age, and then lessen again in later old age. In other terms, compression of morbidity/functional limitations into the later stages of the life course is realized to a much greater degree among the better educated compared with the less educated. Cross-sectional evidence suggests that this reflects differential exposure to or experience of a wide range of psychosocial, environmental, and biomedical risk factors for health (and perhaps their differential impact at different ages and life stages), as well as variations in biological robustness and frailty and also perhaps in the strength of social welfare supports for health at different life stages. Longitudinal analyses reveal several new insights: (a) The flow of causality is much greater from socioeconomic position to health than vice versa; (b) education plays a greater role relative to income in the onset of functional limitations, whereas income has much stronger effects on their progression or course; and (c) educational disparities in the onset and hence of compression of functional limitations over the life course have increased strikingly in later middle and early old age (ages 55-84 years) since 1986.

DISCUSSION

The results indicate that understanding and alleviating social disparities in health are both theoretically and methodologically quintessential problems of life course analysis and research.

Social status and risky health behaviors: results from the health and retirement study

OBJECTIVES

We focus on a hypothesized mechanism that may underlie the well-documented link between social status and health-behavioral health risks.

METHODS

We use longitudinal data from representative samples of 6,106 middle-aged and 3,636 older adults from the Health and Retirement Study to examine the relationships between social status-including early life social status (e.g., parental schooling), ascribed social status (e.g., sex, race-ethnicity), and achieved social status (e.g., schooling, economic resources)-and behavioral health risks (e.g., weight, smoking, drinking, physical activity) to (1) assess how early life and ascribed social statuses are linked to behavioral health risks, (2) investigate the role of achieved factors in behavioral health risks, (3) test whether achieved status explains the contributions of early life and ascribed status, and (4) examine whether the social status and health risk relationships differ at midlife and older age.

RESULTS

We find that early life, achieved, and ascribed social statuses strongly predict behavioral health risks, although the effects are stronger in midlife than they are in older age.

DISCUSSION

Ascribed social statuses (and interactions of sex and race-ethnicity), which are important predictors of behavioral health risks even net of early life and achieved social status, should be explored in future research.

Socioeconomic influences on bone health in postmenopausal women: findings from NHANES III, 1988-1994

Our objectives were (1) to examine the associations of education and income with bone health in non-Hispanic White, non-Hispanic Black and Mexican-American postmenopausal women, (2) to determine if any observed associations can be explained by behavioral factors such as calcium intake and physical activity and (3) to determine if government food assistance and education are associated with increased calcium intake among low-income women. Cross-sectional data were gathered by the Third National Health and Nutrition Examination Survey, 1988-1994 (NHANES III) using a stratified multistage probability design. Bone health was indicated by total hip bone mineral density (BMD, g/cm2). Multiple linear regression was used to evaluate the associations of education, income and behavioral factors with BMD. There were 2,905 postmenopausal women with acceptable DXA scans and complete relevant data selected from a nationally representative sample of the civilian non-institutionalized population aged 2 months and older. Education and income were positively associated with BMD in Black and White women, respectively, but not in Mexican-American women. When behavioral factors were included in the analyses, associations with education and income were eliminated. Instead, positive associations with estrogen use, calcium intake and physical activity, and a negative association with smoking, were noted in White women. Among low-income women, education was associated with increased calcium intake, while participation in the Food Stamp Program was associated with increased calcium intake in Black women. We conclude that education and/or income are positively associated with BMD among Black and White postmenopausal women, and that efforts to promote bone health among low-income women are warranted.

The diagnosis of a smoking-related disease is a prominent trigger for smoking cessation in a retrospective cohort study

OBJECTIVE

We evaluated the impact of demographic factors, smoking patterns, and the occurrence of smoking-related diseases on smoking cessation, with a particular emphasis on the temporal relationship between diagnosis of smoking-related diseases and cessation.

STUDY DESIGN AND SETTING

A cohort was assembled of participants of a general health screening examination aged 50-74 years. Lifetime smoking habits and medical history were obtained by a self-administered questionnaire. In a retrospective cohort study approach, predictors of cessation among ever-smokers (n = 4,575) were identified using the extended proportional hazards model.

RESULTS

Male gender, late onset of smoking, and higher educational level were predictive of cessation. However, the by far strongest predictors of cessation were diagnoses of smoking-related diseases: relative cessation rates in the year of disease occurrence were 11.2 for myocardial infarction (95% confidence interval CI = 8.9-14.0), 7.2 for stroke (95% CI = 5.1-11.6), 2.5 for diabetes mellitus (95% CI = 1.6-4.0) and 4.8 for cancer (95% CI = 3.1-7.4) relative to years before diagnosis of the respective diseases.

CONCLUSION

Our results underline the key role of perceived detrimental effects of smoking for cessation. When smokers personally experience the health consequences of smoking, many permanently quit.

Drug use, misuse, and the urban environment

Urbanization is probably the single most important demographic shift world-wide throughout the past and the new century and represents a sentinel change from how most of the world's population has lived for the past several thousand years. As urban living becomes the predominant social context for the majority of the world's population, the very ubiquity of urban living promises to shape health directly and to indirectly affect what we typically consider risk factors or determinants of population health. Although a growing body of research is exploring how characteristics of the urban environment may be associated with health (e.g. depression) and risk behaviours (e.g. exercise patterns), relatively little research has systematically assessed how the urban environment may affect drug use and misuse. In this paper we will propose a conceptual framework for considering how different characteristics of the urban environment (e.g. collective efficacy, the built environment) may be associated with drug use and misuse, summarize the existing empiric literature that substantiates elements of this framework, and identify potential directions for future research.

A Life-Span Developmental Perspective on Social Status and Health

This article presents a life-span developmental (LSD) perspective on the linkages between social status and health. The objective is to develop a conceptual framework that is useful in understanding why people are differentially exposed to risks of disease or protective factors and the social conditions that link the effects of risk and protective factors to the social environment over the life span. The discussion distinguishes between the complementary concepts of "life span," "life cycle," and "life course," critical theoretical distinctions that may help refine hypotheses about the relationship between health and social status. We argue that life-cycle and life-course concepts can be viewed as embedded in a more general LSD perspective. Using the theoretical principles derived from this perspective, the review examines (a) gender differences, (b) race-ethnic experiences, (c) childhood experiences, (d) educational levels, (e) socioeconomic differences, and (f) age differences. The emphasis in the review is to highlight the value of a broader LSD perspective in the study of health inequalities. The article ends with a brief summary of where future research is headed and novel developments in the study of social status and health.

Behavioral science at the crossroads in public health: extending horizons, envisioning the future

The social and behavioral sciences are at a crossroads in public health. In this paper, we attempt to describe a path toward the further integration of the natural and behavioral sciences with respect to the study of behavior and health. Three innovations are proposed. First, we extend and modify the "stream of causation" metaphor along two axes: time, and levels of nested systems of social and biological organization. Second, we address the question of whether 'upstream' features of social context are causes of disease, fundamental or otherwise. Finally, we propose the concept of a risk regulator to advance the study of behavior and health in populations. To illustrate the potential of these innovations, we develop a multilevel framework for the study of health behaviors and obesity in social and biological context.

Stress, life events, and socioeconomic disparities in health: results from the Americans' Changing Lives Study

It has been hypothesized that exposure to stress and negative life events is related to poor health outcomes, and that differential exposure to stress plays a role in socioeconomic disparities in health. Data from three waves of the Americans' Changing Lives study (n = 3,617) were analyzed to investigate prospectively the relationship among socioeconomic indicators, five measures of stress/negative life events, and the health outcomes of mortality, functional limitations, and self-rated health. The results revealed that (1) life events and other types of stressors are clearly related to socioeconomic position; (2) a count of negative lifetime events was positively associated with mortality; (3) a higher score on a financial stress scale was predictive of severe/moderate functional limitations and fair/poor self-rated health at wave 3; and (4) a higher score on a parental stress scale was predictive of fair/poor self-rated health at wave 3. The negative effects of low income on functional limitations attenuated to insignificance when waves 1 and 2 stress/life event measures were controlled for, but other socioeconomic disparities in health change remained sizable and significant when adjusted for exposure to stressors. The results support the hypothesis that differential exposure to stress and negative life events is one of many ways in which socioeconomic inequalities in health are produced in society.

Older Workers: Who are the working poor in the U.S.?

With data from the 2000 Health and Retirement Study (HRS), the purpose of this study was to provide a profile of older workers who live poverty, and to compare the demographic, financial, employment, and health attributes of such individuals to similar persons not living in poverty. This study found that 3.5% of employed individuals between the ages of 51 and 61 belonged to the class of working poor. The results of the multivariate logistic regression analyses indicated that the older working poor were more likely to be non-White, less educated, non-married, and had lower levels of net worth than the working non-poor. They were more likely to be employed part time and were less likely to be covered by employee-sponsored health insurance.

Education, income, occupation, and the 34-year incidence (1965-99) of Type 2 diabetes in the Alameda County Study

BACKGROUND

Lower socioeconomic position (SEP) is related to higher prevalence of Type 2 diabetes, yet little is known about the relationship of SEP with incident diabetes.

METHODS

The association between SEP, measured by self-reported education, income, and occupation, and Type 2 diabetes incidence was examined in a community sample of 6147 diabetes-free adults from Alameda County, CA. Cox proportional hazards models estimated the effect of baseline (1965) and time-dependent (value changes over time) measures of SEP on incident diabetes over a 34-year study period (1965-99). Demographic confounders (age, gender, race, and marital status) and potential components of the causal pathway (physical inactivity, smoking, alcohol consumption, body composition, hypertension, depression, and health care access) were included as fixed or time-dependent covariates.

RESULTS

Education, income, and occupation were associated with increased diabetes risk in unadjusted models. In baseline models adjusted for demographics, respondents with <12 years of education had 50% excess risk compared with those with more education [hazard ratio (HR) = 1.5, 95% confidence interval (95% CI) 1.11-2.04], but income and occupation were no longer significantly associated with increased risk. Further adjustment minimized the significance of all associations. Time-dependent effects were consistently elevated for low education and male blue-collar occupation, but non-significant after full adjustment (HR = 1.1, 95% CI 0.79-1.47 and HR = 1.3, 95% CI 0.91-1.89, respectively).

CONCLUSIONS

Socioeconomic disadvantage, especially with low educational attainment, is a significant predictor of incident Type 2 diabetes, although associations were largely eliminated after covariate adjustment. Obesity and overweight appear to mediate these associations.

Explaining US racial/ethnic disparities in health declines and mortality in late middle age: the roles of socioeconomic status, health behaviors, and health insurance

Pervasive health disparities continue to exist among racial/ethnic minority groups, but the factors related to these disparities have not been fully elucidated. We undertook this prospective cohort study to determine the independent contributions of socioeconomic status (SES), health behaviors, and health insurance in explaining racial/ethnic disparities in mortality and health declines. Our study period was 1992-1998, and our study population consists of a US nationally representative sample of 6286 non-Hispanic whites (W), 1391 non-Hispanic blacks (B), 405 Hispanics interviewed in English (H/E), and 318 Hispanics interviewed in Spanish (H/S), ages 51-61 in 1992 in the Health and Retirement Study. The main outcome measures were death; major decline in self-reported overall health (SROH); and combined outcome of death or major decline in SROH. Crude mortality rates over the 6-year study period for W, B, H/E and H/S were 5.8%, 10.6%, 5.8%, and 4.4%, respectively. Rates of major decline in SROH were 14.6%, 23.2%, 22.1% and 39.4%, for W, B, H/E and H/S, respectively. Higher mortality rates for B versus W were mostly explained by worse baseline health. For major decline in SROH, education, income, and net worth independently explained more of the disparities for all three minority groups as compared to health behaviors and insurance, reducing the effect for B and H/E to non-significance, while leaving a significant elevated odds ratio for H/S. Without addressing the as-yet undetermined and pernicious effects of lower SES, public health initiatives that promote changing individual health behaviors and increasing rates of insurance coverage among blacks and Hispanics will not eliminate racial/ethnic health disparities.

Allostatic load: a mechanism of socioeconomic health disparities?

Although research on health disparities has been prioritized by the National Institutes of Health, the Institute of Medicine, and Healthy People 2010, little has been published that examines the biology underlying health disparities. Allostatic load is a multisystem construct theorized to quantify stress-induced biological risk. Differences in allostatic load may reflect differences in stress exposure and thus provide a mechanistic link to understanding health disparities. The purpose of this systematic review is to examine the construct of allostatic load and the published studies that employ it in an effort to understand whether the construct can be useful in quantifying health disparities. The published literature demonstrates that allostatic load is elevated in those of low socioeconomic status (SES) as compared to those of high SES. The reviewed articles vary in the justification for inclusion of variables. Recommendations for future research are made in the contexts of measurement, methodology, and racial composition of participants.

Subjective socioeconomic position, gender and cortisol responses to waking in an elderly population

Socioeconomic inequalities in morbidity and mortality exist, but the psychobiological pathways that link social status and health are less clear. It has previously been reported that socioeconomic status is inversely associated with the magnitude of the cortisol response to awakening (CAR) in men and women of working age. In the present study, we tested whether larger cortisol responses would be present in an older retired population, and whether the CAR differed between men and women. The extent to which adherence to saliva sample timing also affects the CAR was investigated. Ninety three men and women aged 65-80 years took saliva samples on waking, and then 10, 20, 30 and 60 min after waking. Subjective social status was assessed using the 'ladder' measure devised by Adler et al. (2000). Non-compliance was defined as a reported delay of 10 min or more between waking and taking the first saliva sample. Cortisol levels on waking were significantly higher in the non-compliant individuals, and the CAR was blunted compared with that of compliant participants. With non-compliant participants eliminated from the analyses, we found that low social status was associated with a larger CAR after adjusting for gender, waist/hip ratio, body mass index, smoking, time of waking, chronic illness, prescription medication, education and financial strain. No association was found between CAR and education or financial strain. Women also had significantly larger CARs, independent of socioeconomic position. The results highlight the importance of controlling for non-compliance and are consistent with the notion that higher socioeconomic position protects against stress-related activation of psychobiological pathways which may contribute to variation in disease risk evident in old age.

Influence of material and behavioural factors on occupational class differences in health

OBJECTIVE

To examine material and behavioural factors as explanations for occupational class differences in health, while taking into account the interrelations between these two groups of factors.

METHODS

Data from cross sectional surveys among middle aged women and men employed by the City of Helsinki (n = 6062, response rate 68%) were used. The contribution of four material and seven behavioural factors to occupational class differences in self rated health was examined by logistic regression techniques. After examining the contribution of each material and behavioural factor individually these were combined into two groups, whose independent and shared effects on occupational class differences in health were examined.

RESULTS

In women, each material factor reduced the association between occupational class and health, while only financial difficulties and financial satisfaction were statistically significant in men. Smoking, dietary habits, and relative body weight were the strongest behavioural factors explaining the association in both women and men. When grouped, both material and behavioural factors explained a large part of occupational class differences in health. The direct effect of material factors was larger than their effect through behavioural factors, and the effect of behavioural factors depending on material factors was about half of their independent effect.

CONCLUSIONS

Material and behavioural factors explained more than a half of occupational class differences in self rated health among women and one third among men. The effects of material and behavioural factors were mostly independent of each other, although some part of their contribution was shared, especially in women.

Differences in self-rated health among older adults according to socioeconomic circumstances: the Bambuí Health and Aging Study

Self-rated health is influenced by socioeconomic circumstances, but related differences in its structure have received little attention. The objective of this study was to examine whether self-rated health structure differs according to socioeconomic circumstances in later life. The study included 1,505 individuals (86.4%) residing in Bambuí and aged 60 years or older. Correlates of self-rated health among lower-income older adults (monthly household income < USD 240.00) and higher-income seniors were assessed. Social network stood out as a major factor in the structure of self-rated health among the poorest. Psychological distress was independently associated with worse self-rated health among the poorest, while perceptions by the wealthiest were broader, including psychological distress, insomnia, Trypanosoma cruzi infection, use of medications, and access to health services. Physician visits and hospitalizations were associated with self-rated health in both groups. Our results show important differences in the structure of self-rated health according to socioeconomic circumstances and reinforce the need for policies to reduce health inequalities in later life.

Time on my side? Life course trajectories of poverty and health

This study examines the relationship between poverty and health in time. Following the argument that time is significant for shaping the experience of being poor or not poor and growing evidence of heterogeneity in long-term patterns of poverty, we investigate whether different kinds of poverty have distinct consequences for long-term health. Using data from the 1968-1996 annual waves of the United States Panel Study of Income Dynamics Data, we estimate a general growth mixture model to assess the relationship between the longitudinal courses of poverty and health. The model allows us to first estimate latent poverty classes in the data and then determine their effects on latent self-rated health. Four types of long-term poverty patterns characterized as stable nonpoor, exiting poverty, entering poverty and stable poor were evident in the data. These different kinds of poverty affected self-rated health trajectories in distinct ways, but worked in concert with age, education and race to create gaps in initial health status that were constant over time.

The use of race variables in genetic studies of complex traits and the goal of reducing health disparities: A transdisciplinary perspective

The use of racial variables in genetic studies has become a matter of intense public debate, with implications for research design and translation into practice. Using research on smoking as a springboard, the authors examine the history of racial categories, current research practices, and arguments for and against using race variables in genetic analyses. The authors argue that the sociopolitical constructs appropriate for monitoring health disparities are not appropriate for use in genetic studies investigating the etiology of complex diseases. More powerful methods for addressing population structure exist, and race variables are unacceptable as gross proxies for numerous social/environmental factors that disproportionately affect minority populations. The authors conclude with recommendations for genetic researchers and policymakers, aimed at facilitating better science and producing new knowledge useful for reducing health disparities.

Effect of physical activity on functional status among older middle-age adults with arthritis

OBJECTIVE

To determine the effect of leisure time and work-related physical activity on changes in physical functioning among 3,554 nationally representative survey respondents, ages 53-63 years in 1994, with arthritis and joint symptoms, interviewed in the Health and Retirement Study (HRS).

METHODS

In 1992-1994, light and vigorous exercise items were empirically categorized into recommended, insufficient, and inactive leisure time physical activity levels using data from the HRS. Leisure and work-related physical activity levels in 1994 were used to predict 1996 functional decline or improvement, controlling for baseline functional difficulties, health status, sociodemographic characteristics, and behavioral risk factors.

RESULTS

Whereas 29.7% of respondents reported functional declines in 1996, 38.6% of those with baseline difficulties in 1994 reported improvement. Compared with inactive respondents, recommended and insufficient leisure time physical activity were equally protective against functional decline (odds ratio [OR] 0.59 and 0.62, respectively; P < 0.0001). Higher levels of physical activity were also modestly associated with functional improvement among respondents with baseline functional difficulties (OR 1.47, P = 0.05 and OR 1.45, P = 0.01, respectively). Work-related physical activity was not a significant predictor of decline or improvement.

CONCLUSION

Given the high prevalence of arthritis, even modest increases in rates of lifestyle physical activity among older adults could make a substantial contribution to disability-free life expectancy.

Leisure time physical activity and strenuousness of work as predictors of physical functioning: a 28 year follow up of a cohort of industrial employees

AIMS

To examine associations of leisure time physical activity and physical strenuousness of work with physical functioning 28 years later.

METHODS

A cohort (n = 902) of metal industry employees was studied for exercise and housework activity in 1973 and 1978, and for BMI, current smoking, strenuousness of work, grip strength, and chronic diseases in 1973. Of the 670 survivors in 2000, 529 (79%) responded to all studied items in a follow up questionnaire including the SF-36 Physical Functioning (PF) scale. Belonging to the lower quartile of the PF scale denoted poor functioning.

RESULTS

Vigorous exercise and housework activity were inversely associated with poor PF 28 years later in both white-collar and blue-collar workers. Engaging in activities of any intensity was similarly associated among the blue-collar workers. In a multiple logistic regression model including as independent variables age, sex, occupational class, the number of chronic diseases, vigorous leisure time physical activity, BMI, physical work strenuousness, and smoking (all measured at baseline), the risk of poor PF at follow up was decreased by vigorous leisure time physical activity and increased by high physical strenuousness of work, high BMI, and smoking. The effect of work strenuousness was mainly due to that among the blue-collar group. Allowing for baseline grip strength did not materially alter the results.

CONCLUSION

Vigorous leisure time physical activity decreased the risk of poor physical functioning as perceived considerably later in life, while high work strenuousness, smoking, and overweight increased it. Among blue-collar workers a beneficial association was observed with all leisure time activity, including that of lower intensity.

Development, Implementation and Evaluation of an M3 Community Health Curriculum

OBJECTIVES

This paper describes the development, implementation and evaluation of an M3 community health curriculum that responds to recent changes within the health care finance and delivery system.

METHODS

The new curriculum was developed based on AAMC recommendations, LCME requirements, a national review of undergraduate community health curricula, and an internal review of the integration of community health concepts in M3 clerkships.

RESULTS

The M3 curriculum teaches: 1) the importance of being a community responsive physician; 2) SES factors that influence health; 3) cultural competency; and 4) the role of physicians as health educators. Student evaluations for the first twelve months of implementation indicate that students are most satisfied with presentations and less satisfied with required readings and a patient interview project.

DISCUSSION

Most students agree that at the completion of the course they understand what it means to be a community-responsive physician, and they have developed skills to help them become more community responsive. Evaluation tools need to be developed to assess if students' behavior has changed due to course participation.

A estrutura da auto-avaliação da saúde entre idosos: projeto Bambuí

OBJETIVO: Determinar os fatores associados à auto-avaliação da saúde entre idosos, considerando-se cinco dimensões: sociodemográfica, suporte social, hábitos de vida relacionados à saúde, condições de saúde e acesso e uso de serviços de saúde. MÉTODOS: Dos 1.742 idosos (>60 anos) residentes na cidade de Bambuí (Minas Gerais), 1.516 (87,0%) participaram do estudo. As informações foram obtidas por meio de entrevistas, exames físicos e laboratoriais. RESULTADOS: A auto-avaliação da saúde como boa/muito boa, razoável e ruim/muito ruim foi relatada, respectivamente, por 24,7%, 49,2% e 26,1% dos participantes. As seguintes características apresentaram associações independentes e positivas com pior percepção da saúde: suporte social (insatisfação com os relacionamentos pessoais e menor freqüência a clubes ou associações), condições de saúde (sintomas depressivos/ansiosos nas últimas duas semanas, queixa de insônia nos últimos 30 dias, maior número de medicamentos prescritos usados nos últimos 30 dias) e acesso/uso de serviços de saúde (queixas quando necessita de serviços médicos, maior número de consultas médicas nos últimos 12 meses e maior número de internações hospitalares no período). Associação negativa e independente foi encontrada para renda domiciliar mensal (<2,0 vs >4 salários-mínimos). CONCLUSÕES: Os resultados mostraram uma estrutura multidimensional da auto-avaliação da saúde em idosos, compreendendo a situação socioeconômica, suporte social, condições de saúde (destacando-se a saúde mental) e acesso e uso de serviços de saúde.

Health disparities based on socioeconomic inequities: implications for urban health care

Health is unevenly distributed across socioeconomic status. Persons of lower income, education, or occupational status experience worse health and die earlier than do their better-off counterparts. This article discusses these disparities in the context of urban medical practice. The article begins with a discussion of the complex relationship among socioeconomic status, race, and health in the United States. It highlights the effects of institutional, individual, and internalized racism on the health of African Americans, including the insidious consequences of residential segregation and concentrated poverty. Next, the article reviews health disparities based on socioeconomic status across the life cycle, beginning in fetal health and ending with disparities among the elderly. Potential explanations for these socioeconomic-based disparities are addressed, including reverse causality (e.g., being poor causes lower socioeconomic status) and confounding by genetic factors. The article underscores social causation as the primary explanation for health disparities and highlights the cumulative effects of social disadvantage across stages of the life cycle and across environments (e.g., fetal, family, educational, occupational, and neighborhood). The article concludes with a discussion of the implications of health disparities for the practice of urban medicine, including the role that concentration of disadvantage plays among patients and practice sites and the need for quality improvement to mitigate these disparities.

The impact of socio-economic factors on functional status decline among community-dwelling older adults in China

The purpose of this paper is to examine the impact of baseline socio-economic factors on functional status decline over a period of 3 years among a sample of Chinese older men and women, using the China Health and Nutrition Surveys of 1997 and 2000. In addition, the study tries to determine whether risk differentials by these socio-economic factors can be explained by other demographic, health-related and nutritional risk factors. The eligible study population was defined as women and men aged 55 years and over who at baseline were free from any form of disablement in activities of daily living (ADLs) or instrumental activities of daily living (IADL) tasks. Among subjects with complete data at followed-up (N = 976), the overall incidence proportions of any functional status decline, IADL only and ADL declines were 25.8%, 18.9% and 6.9%, respectively. Our study found that education is strongly and inversely associated with incidence of combined functional status decline and IADL only but not with the onset of ADL disability. Similarly, household income per capita was inversely associated with functional status decline and IADL disability incidence, with a clear dose-response relationship, even after adjustment for age and gender. However, multivariate analysis demonstrated that the latter association was highly confounded by other demographic factors, especially urban-rural area of residence. Using a combined measure of socio-economic status that includes years of education and household income per capita, the age and gender-adjusted odds ratio for functional status decline and belonging to lower SES class as compared to middle, upper middle and upper classes was 3.82 (95% CI: 2.15, 6.77) and 2.77 (95% CI: 1.52, 5.03) after further adjustment for urban-rural area of residence and living arrangements. Hence, there are wide socio-economic disparities in the functional health of older adults in China, although such disparities are more seen for IADL decline and are almost exclusively attributed to differentials in educational attainment. Finally, nutritional and health-related risk factors do not seem to act as intermediate factors in this association and hence further research should try to uncover other mechanisms by which SES affects changes in functional health among older adults in China.

Socioeconomic status, smoking, and health: a test of competing theories of cumulative advantage

Although both low socioeconomic status and cigarette smoking increase health problems and mortality, their possible combined or interactive influence is less clear On one hand, the health of low status groups may be harmed least by unhealthy behavior such as smoking because, given the substantial health risks produced by limited resources, they have less to lose from damaging lifestyles. On the other hand, the health of low status groups may be harmed most by smoking because lifestyle choices exacerbate the health problems created by deprived material conditions. Alternatively, the harm of low status and smoking may accumulate additively rather than multiplicatively. We test these arguments with data from the 1990 U.S. National Health Interview Survey, and with measures of morbidity and mortality. For ascribed statuses such as gender, race, and ethnicity, and for the outcome measure of mortality, the results favor the additive argument, whereas for achieved status and morbidity, the results support the vulnerability hypothesis--that smoking inflicts greater harm among disadvantaged groups.

Psychobiological mechanisms of socioeconomic differences in health

The association between low socioeconomic status and poor health is well established. Empirical studies suggest that psychosocial factors are important mediators for these effects, and that the effects are mediated by psychobiological mechanisms related to stress physiology. The objective of this paper is to explore these psychobiological mechanisms. Psychobiological responses to environmental challenges depend on acquired expectancies (learning) of the relations between responses and stimuli. The stress response occurs whenever an individual is faced with a challenge. It is an essential element in the total adaptive system of the body, and necessary for adaptation, performance and survival. However, a period of recovery is necessary to rebalance and to manage new demands. Individuals with low social status report more environmental challenges and less psychosocial resources. This may lead to vicious circles of learning to expect negative outcomes, loss of coping ability, strain, hopelessness and chronic stress. This type of learning may interfere with the recovery processes, leading to sustained psychobiological activation and loss of dynamic capacity to respond to new challenges. Psychobiological responses and health effects in humans and animals depend on combinations of demands and expected outcomes (coping, control). In studies of humans with chronic psychosocial stress, and low SES, cortisol baseline levels were raised, and the cortisol response to acute stress attenuated. Low job control was associated with insufficient recovery of catecholamines and cortisol, and a range of negative health effects. Biological effects of choice of lifestyle, which also depends on the acquired outcome expectancies, reinforce these direct psychobiological effects on health. The paper concludes that sustained activation and loss of capacity to respond to a novel stressor could be a cause of the higher risk of illness and disease found among people with lower SES.

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.

Socioeconomic differences in cancer screening participation: comparing cognitive and psychosocial explanations

This paper compares psychosocial and cognitive models of socioeconomic variation in participation in screening for colorectal cancer. The psychosocial model suggests that factors such as higher stress and lower social support explain, in part, why people from lower socioeconomic status (SES) environments are less likely to participate in screening. The cognitive model suggests that beliefs about cancer risk and screening will play an important part in differential participation. In practice both sets of factors may contribute to explaining socioeconomic differentials. The data for these analyses are drawn from a randomised controlled trial of colorectal cancer screening (the UK Flexible Sigmoidoscopy Trial). The participants are from the Scottish centre, where recruitment was stratified to generate a socioeconomically diverse sample. The dependent variable was interest in attending screening. A questionnaire covering demographic status, psychosocial and cognitive factors as well as interest in screening was sent to 10,650 adults. The results showed the predicted SES gradient in interest. There were also SES differences in both psychosocial and cognitive variables. A series of logistic regression models were used to test potential mediators of the association between SES and interest in attending screening by successively including psychosocial factors, cognitive factors, and then both, in the equation. Only the inclusion of the cognitive variables significantly reduced the variation associated with SES, providing better support for the cognitive than the psychosocial model.

Effects of education and other socioeconomic factors on middle age mortality in rural Bangladesh

STUDY OBJECTIVE

To examine socioeconomic gradients in mortality in adult women and their husbands in Bangladesh, paying particular attention to the independent effects of the educational status of each spouse.

DESIGN

Historical cohort study.

SETTING

Matlab, a rural area 60 km south east of Dhaka, the capital of Bangladesh.

PARTICIPANTS

14803 married women aged 45 or over and their husbands who were resident in the Matlab Demographic Surveillance area between 30 June 1982 and 31 December 1998.

MAIN RESULTS

Mortality was lower in women with formal or Koranic education compared with those with none (adjusted rate ratio for formal education = 0.68, 95% CI 0.53 to 0.86; adjusted rate ratio for Koranic schooling = 0.82, 95% CI 0.66 to 1.00). After adjusting for her own education, the husband's level of education or occupation did not have an independent effect on a woman's survival. Men who had attended formal education had lower mortality than those without any education (adjusted rate ratio = 0.84, 95% CI 0.75 to 0.93), but men whose wives had been educated had an additional survival advantage independent of their own education and occupation (adjusted rate ratio = 0.76, 95% CI 0.67 to 0.87). Mortality in both sexes was also significantly associated with marital status and the percentage of surviving children, and in men was associated with the man's occupation, religion, area of residence.

CONCLUSIONS

The data suggest that socioeconomic status has a strong influence on mortality in adults in Bangladesh. They also illustrate how important the continued promotion of education, particularly for women, may be for the survival of both women and men in rural Bangladesh.

Education, income, and functional limitation transitions among American adults: contrasting onset and progression

BACKGROUND

Although a robust association between socioeconomic status and health has been shown in past research, the processes that explain the connection are not well understood. This paper seeks to advance such understanding in two ways, first by attending to the distinction between onset of a functional health problem and its progression, and second by addressing whether and how education and income relate differently to the onset versus progression of functional health problems.

METHODS

Data come from the Americans' Changing Lives survey (n = 3617). The baseline was conducted in 1986 and outcome status measured in 1994. Activity limitations are categorized into none, mild, moderate, severe. Onset is defined as having no limitation at origin and a limitation at outcome. Progression is defined as limitation of a particular severity at origin and improving, staying the same, or getting worse with respect to the severity. Multinomial regressions determine transition probabilities related to onset and progression.

RESULTS

Those with higher income and education are less likely to experience an onset. Only income associates with progression. Those with the highest income are most likely to improve and least likely to get worse in comparison to those with the lowest income.

CONCLUSIONS

Education, being determined early in life and influencing psychosocial mechanisms throughout life, may have a greater impact on prevention of activity and functional disorders. Income's role may be both as a prevention factor and as a mechanism for management of health problems.

Health inequalities and the psychosocial environment—two scientific challenges

As social inequalities in health continue to be a key public health problem, scientific advances in explaining these inequalities are needed. It is unlikely that there will be a single explanation of social inequalities in health. This introductory paper sets out one explanatory framework, exposure to adverse psychosocial environments during midlife, and particularly at work. We argue that exposure to an adverse psychosocial environment, in terms of job tasks, defined by high demands and low control and/or by effort-reward imbalance, elicits sustained stress reactions with negative long-term consequences for health. These exposures may be implicated in the association of socioeconomic status with health in two ways. First, these exposures are likely to be experienced more frequently among lower socioeconomic groups. Second, the size of the effects on health produced by adverse working conditions may be higher in lower status groups, due to their increased vulnerability. In this special issue, these arguments are illustrated by a collection of original contributions from collaborative research across Europe. The papers, in our view, advance the case for the robust associations between measures of adverse psychosocial environment and ill health, as they are based on comparative studies across several European countries and as they combine different types of study designs. This collaboration was enabled and supported by a European Science Foundation scientific programme on 'Social Variations in Health Expectancy in Europe'.

Is position in the occupational hierarchy a determinant of decline in perceived health status?

This study examines the extent to which position in the occupational hierarchy is predictive of declines in perceived health status over a 48 month period in a representative sample of the Canadian labor force. We hypothesized that the proportion of workers reporting a decline in health status would be greater among persons in lower position in the occupational hierarchy, and that these differences in risk would primarily be explained by characteristics of the psychosocial work environment and secondarily by the baseline prevalence of adverse health behaviors. The study cohort was defined as labor force participants aged 18-64 who reported good, very good or excellent health in the 1994 baseline wave of Canada's National Population Health Survey and who participated in the 1998 follow-up survey. Between 1994 and 1998, 16.6% of labor force participants reporting excellent, very good or good health status at baseline reported a decline in perceived health status. For men, the age-adjusted odds of decline in perceived health status were 1.80 (95% CI: 1.24-2.63) and 1.74 (95% CI: 1.19-2.54) for the two lowest occupational classes relative to the highest occupational class. There was no association between position in the occupational hierarchy and the prospective risk of health status decline for women. For men, the association between position in the occupational hierarchy and decline in perceived health status was moderately reduced but remained statistically significant following adjustment for baseline health, health behaviors and psychosocial work exposures. Adjustment for household income did not alter these findings. When stratified by gender, position in the occupational hierarchy was associated with the prospective risk of health status decline for men but not for women. Among men, the collective influence of health behaviors and psychosocial work exposures explained a moderate component of the decline in perceived health status. A more robust measurement of the characteristics of labor market experiences would be expected to improve understanding of the relationship between work and health in this sample.

What new knowledge would help policymakers better balance investments for optimal health outcomes?

OBJECTIVE

Review the limitations in cross-sectoral health outcomes research and suggest a future research agenda. DATA SOURCES, STUDY DESIGN, DATA COLLECTION: Literature review and workshop discussion.

PRINCIPAL FINDINGS

The research evidence that would aid public and private policy makers in answering the question the title poses is quite limited.

CONCLUSIONS

Much more evidence from diverse disciplines is needed, and key areas are suggested. Criteria for progress by 2010 are proposed.

Advancing health disparities research: can we afford to ignore measurement issues?

BACKGROUND

Research on racial and ethnic health disparities in the United States requires that self-report measures, developed primarily in mainstream samples, are appropriate when applied in diverse groups. To compare groups, mean scores must reflect true scores and have minimal bias, assumptions that have not been tested for many self-report measures used in this research.

OBJECTIVE

To identify conceptual and psychometric issues that need to be addressed to assure the quality of self-report measures being used in health disparities research.

METHODS

We present 2 broad conceptual frameworks for health disparities research and describe the main research questions and measurement issues for 4 key concepts hypothesized as potential mechanisms of health disparities: socioeconomic status, discrimination, acculturation, and quality of care. This article is based on a small conference convened by 6 Resource Centers for Minority Aging Research (RCMAR) measurement cores. We integrate written materials prepared for the conference by quantitative and qualitative measurement specialists and cross-cultural researchers, conference discussions, and current literature.

RESULTS

Problems in the quality of the conceptualizations and measures were found for all 4 concepts, and little is known about the extent to which measures of these concepts can be interpreted similarly across diverse groups. Many problems also apply to other concepts relevant to health disparities. We propose an agenda for accomplishing this challenging measurement research.

CONCLUSIONS

The current national commitment to reduce health disparities may be compromised without more research on measurement quality. Integrated, systematic efforts are needed to move this work forward, including collaborative efforts and special initiatives.

Socioeconomic status and health among the aged in the United States and Germany: a comparative cross-sectional study

This study investigates socioeconomic status (SES) differences in health among the aged in Germany and the United States. Intra-elderly age differences in the SES-health gradient are also examined. The study uses data from two national telephone surveys conducted in Germany (N=682) and the United States (N=608) using probability samples of non-institutionalised persons 60 years or older. In addition to the traditional indicators of SES (education, income and occupational status), two alternative indicators (assets and home ownership) are utilised. Self-rated health, depression (CES-D) and functional limitations are introduced as health indicators. Results of multiple logistic regression analyses show that income is the best SES predictor of the three health measures among the aged in Germany, whereas education, occupational prestige, assets, and home ownership are not consistently related to health. Respective analyses of the US data demonstrate weaker and less consistent associations of health measures with SES indicators. Consequently, there is a higher percentage of explained variance in health by SES among the aged in Germany compared to the United States. The data also show that social inequalities in health tend to diminish at older ages in the United States, but such disparities vary only slightly by age in Germany. In conclusion, although SES health differences are observed among the elderly in both countries, they are more pronounced in Germany than in the United States where effects are restricted to younger old age. One interpretation of this finding points to higher selective mortality of middle and early old age groups with a low SES in the United States due to stronger health-related deprivation.

Social causation, health-selective mobility, and the reproduction of socioeconomic health inequalities over time: panel study of adult men

This study examines how socioeconomic inequalities in perceived health were reproduced as a cohort of adult men became 10 years older, and focuses especially on the role of social causation and health-selective mobility. A two-wave panel data set collected by the Nord-Trøndelag Health Study (HUNT), Norway, is used, and the study is based on a sample of 9189 men aged 25-49 at baseline. Systematic socioeconomic inequalities in perceived health were observed both at baseline and 10 years later when the sample was aged 35-59. Measured as age-adjusted percentage differences, inequalities in perceived health widened during the study period, both among those who were continuously employed and between the employed and non-employed. The pattern of health inequalities was transformed as a result of numerous changes in perceived health and considerable social mobility during the study period. Compared to higher white collar, changes in perceived health during the study period were more negative among medium-level and manual occupations, and even more negative among the non-employed. Mobility between occupational classes among those employed at both observation points was not selective for health, but transitions into and out of employment were strongly health-selective. It is argued that the transformation of the health inequality pattern among those continuously employed was solely due to social causation, i.e., to more negative changes in perceived health among medium/manual occupations than among the white collar. The wider difference in perceived health between the employed and non-employed was, however, primarily a result of health-selective mobility into and out of the non-employed category.

Income and health behaviours. Evidence from monitoring surveys among Finnish adults

STUDY OBJECTIVE

To examine the associations of individual and household income with various health behaviours, before and after adjusting for educational attainment and occupational social class.

DESIGN AND SETTING

Data from 19 982 respondents to nationwide health behaviour surveys from 1993 to 1999 (response rate 70%) were linked with socioeconomic information from population registers.

MEASUREMENTS

The income measures were total individual income liable to taxation and household's monthly disposable income. Health behaviours included smoking, alcohol use, leisure time physical activity, use of vegetables, use of saturated fat on bread, and being overweight.

MAIN RESULTS

In men, smoking and infrequent vegetable use were more common among those with lower individual and household income. However, adjusting for education and occupational class removed most of the differences. Use of saturated fat on bread increased with decreasing individual income, before and after the adjustments. In women, smoking, infrequent vegetable use and being overweight were more common among those with lower income, but the differences by both income measures were largely removed by the adjustments. Women with higher income more often also were high alcohol users and had less physical activity, in particular when income was measured by the respondents' individual income.

CONCLUSIONS

Adjusting for education and occupation largely removed income differences in health behaviours, but for some behaviours some independent effect remained. The results suggest that income does not only reflect the available material resources, but works as a general socioeconomic indicator that is associated with health behaviours in much the same way as other socioeconomic indicators.

Socioeconomic and demographic disparities in symptoms of orofacial pain

OBJECTIVES

The purpose of this study was to document the association between socioeconomic status (SES) and the prevalence and impact of orofacial pain by anatomical location. In addition, differential effects of SES on orofacial pain across levels of sex, race, and age were documented.

METHODS

The subjects were 724 participants in the Florida Dental Care Study, a study of oral health among dentate adults, aged 45 years and older at baseline. Pain prevalence and subjective ratings were assessed for a range of orofacial pain sites using a standardized telephone interview.

RESULTS

Lower SES was associated with reporting pain and pain impact at many, but not all, of the orofacial sites. Some sex, race, and age cohort differences in orofacial pain were found when adjusting for differences in socioeconomic position. The most consistent result, as evidenced by similar findings across orofacial pain sites, was that the effects of SES on orofacial pain appear to have a sex-differentiated effect.

CONCLUSION

Consistent with findings for other subjective measures of oral health, persons of lower SES are at increased risk for orofacial pain and pain-related behavioral impact.

[Social and professional factors, occupational environmental strain and cardiovascular diseases]

In addition to conventional risk factors, environmental and occupational strain is an actor of the development and evolution of cardiovascular diseases. In industrialised countries, cardiovascular mortality is inversely correlated with the socio-economic level and type of occupation. In the French Ihpaf study, systemic hypertension and obesity were correlated with the socio-economic level. Among possible explanations for the importance of occupational environment, psychological stress at work, sedentary jobs, passive smoking and shift working may all play a role. Thus, beyond the conventional approach to individual risk factor management, it appears necessary to consider cardiovascular prevention through collective actions taking into account occupational environment.