Joint effects of social class and community occupational structure on coronary mortality among black men and white men,upstate New York, 1988-92

STUDY OBJECTIVE: Occupational structure represents the unequal geographical distribution of more desirable jobs among communities (for example, white collar jobs). This study examines joint effects of social class, race, and county occupational structure on coronary mortality rates for men, ages 35-64 years, 1988-92, in upstate New York. DESIGN: Upstate New York's 57 counties were classified into three occupational structure categories; counties with the lowest percentages of the labour force in managerial, professional, and technical occupations were classified in category I, counties with the highest percentages were in category III. Age adjusted coronary heart disease (CHD) mortality rates, 35-64 years, (from vital statistics and census data) were calculated for each occupational structure category. MAIN RESULTS: An inverse association between CHD mortality and occupational structure was observed among blue collar and white collar workers, among black men and white men, with the lowest CHD mortality observed among white collar, white men in category III (135/100,00). About two times higher mortality was observed among blue collar than white collar workers. Among blue collar workers, mortality was 1.3-1.8 times higher among black compared with white workers, and the highest rates were observed among black, blue collar workers (689/100,00). Also, high residential race segregation was shown in all areas. CONCLUSIONS: Results suggest the importance of community conditions in coronary health of local populations; however, differential impact on subpopulations was shown. Blue collar and black workers may especially lack economic and other resources to use available community services and/or may experience worse working and living conditions compared with white collar and white workers in the same communities.     

Epidemiologic aspects of racial inequalities in health in Brazil

In Brazil, data on education, the labor market, and the law enforcement and court systems have already documented that racial discrimination is a structural factor underlying economic and social disadvantages experienced by racial/ethnic minorities. However, racial inequalities in health have received little investigation. According to health indicators presented in this paper, race is a strong predictor of variability in mortality. Early mortality is more frequent among indigenous and black Brazilians; mortality rates from stroke and especially maternal mortality rates are exceedingly higher among black women; violence occurs predominantly among young black men. Lifetime socioeconomic differences across successive generations have been identified as the main cause of racial inequality in health. It is also suggested that racial discrimination and its impact on health are at the origin of these inequalities. Instruments to directly or indirectly measure the impact of racial discrimination on health are discussed. The article suggests that investigation of the impact of both social class and race on health is the most productive approach, both for research as well as for policies to address health inequalities.     

Race and the risk of fatal injury at work.

OBJECTIVES:This study examined employment patterns of African-American and White workers and rates of unintentional fatal injuries, METHODS: Medical examiner and census data were used to compare occupational fatality rates for African Americans and Whites in North Carolina and to adjust for racial differences in employment patterns. RESULTS: African Americans' occupational fatality rate was higher by a factor of 1.3 to 1.5. Differences in employment structure appear to explain much of this disparity. However, the fatality rate for African-American men would have been elevated even if they had had the same employment patterns as White men. CONCLUSIONS: inequalities in access to the labor market, unequal distribution of risk within jobs, and explicit discrimination are all potential explanations for racial disparities in occupational injury mortality. These conditions can be addressed through a combination of social and workplace interventions, including efforts to improve conditions for the most disadvantaged workers.     

Racial Disparities in CHD Mortality from 1968–1992 in the State Economic Areas Surrounding the ARIC Study Communities

PURPOSE: This study examined racial variations in CHD (coronary heart disease) mortality rates (1968–1992) of residents aged 35–84 in the state economic areas (SEAs) surrounding the ARIC (Atherosclerosis Risk in Communities) study. The quarter century of CHD mortality rates are discussed in relation to racial and gender differences in baseline risk factors measured in the ARIC cohort and to the incidence of hospitalized myocardial infarction and case fatality rates obtained from the community surveillance component of the ARIC study between 1987 and 1994, inclusive.

METHODS: Five-year average annual, gender- and age-specific CHD mortality rates were compared across race groups, based on National Vital Statistics data for state economic areas.

RESULTS: Five-year average annual CHD mortality declined 2.6% for white men and women and 1.6% and 2.2% for black men and women, respectively. The black-white mortality rate ratio increased over time for men and women. The black-white mortality age crossover (higher black than white mortality in young men, lower black than white mortality at older ages) had disappeared by the end of the observation. CHD mortality was markedly greater in black than white women at all ages and time periods. The black disadvantage in CHD mortality was increasingly greater in the ARIC SEAs than in the United States as a whole.

CONCLUSIONS: Persistent and increasing racial disparities in CHD mortality occurred in the ARIC SEAs concurrently with racial differences in risk factors, the incidence of myocardial infarction, and case fatality rates.     

Neighbourhood characteristics, individual level socioeconomic factors, and depressive symptoms in young adults: the CARDIA study

STUDY OBJECTIVE: To investigate the relation between neighbourhood socioeconomic and ethnic characteristics with depressive symptoms in a population based sample. DESIGN: Cross sectional data from the CARDIA study, including the Center for Epidemiological Studies depression scale score (CES-D). Neighbourhoods were 1990 US census blocks of 1000 people; six census variables reflecting wealth/income, education, and occupation investigated separately and as a summary score; neighbourhood racial composition (percentage white and black) and individual level income and education were also examined. SETTING: Participants recruited in 1985/86 from community lists in Birmingham, AL; Chicago, IL; Minneapolis MN; from a health plan in Oakland, CA. PARTICIPANTS: 3437 adults aged 28-40 years in 1995/96: 24% white men, 27% white women, 20% black men, 29% black women. MAIN RESULTS: For each race-sex group, CES-D was inversely related to neighbourhood score and individual income and education. Associations of neighbourhood score with CES-D became weak and inconsistent after adjusting for individual level factors; personal income remained strongly and inversely associated with CES-D. Age adjusted mean differences (standard errors) in CES-D between the lowest and highest income categories were 3.41 (0.62) for white men, 4.57 (0.64) for white women, 5.80 (0.87) for black men, and 5.74 (0.83) for black women. For both black and white participants, CES-D was associated negatively with percentage of white people and positively with percentage of black people in their census block, before, but not after, adjustment for individual and neighbourhood socioeconomic variables. CONCLUSIONS: Neither neighbourhood socioeconomic characteristics nor ethnic density were consistently related to depressive symptoms once individual socioeconomic characteristics were taken into account.     

United States coronary mortality trends and community services associated with occupational structure, among blacks and whites, 1984-1998

This paper examines the association between US county occupational structure, services availability, prevalence of risk factors, and coronary mortality rates by sex and race, for 1984-1998. The 3137 US counties were classified into five occupational structure categories; counties with the lowest percentages of the labor force in managerial, professional, and technical occupations were classified in category I (5-16%), counties with the highest percentages were in category V (32-59%). Directly age-adjusted coronary heart disease (CHD) mortality rates, for aged 35-64 years, (from vital statistics and Census data), per-capita services (County Business Patterns), and the prevalence of CHD risk factors (Behavioral Risk Factor Surveillance Surveys data) were calculated for each occupational structure category. CHD mortality rates and the prevalence of risk factors were inversely monotonically associated with occupational structure categories for white men and women but not among black men and women. Numbers of producer services for banking, business credit, overall business services and personnel/employment services were 2-12 times greater in category V versus I counties. Consumer services such as fruit/vegetable markets, fitness facilities, doctor offices and social services were 1.6-3 times greater in category V versus I counties. Residential racial segregation scores remained high in most areas despite declines during 1980-1990; occupational segregation by race and gender were shown indicating continued institutional racism. An ecological model for conceptualizing communities and health and the overall influence of state and national occupational structure is discussed; intervention strategies such as decreased wage disparities and 'living wage' standards and development is discussed.     

Multiple cause-of-death analysis of hypertension-related mortality in New York State

Multiple cause-of-death data--that is, records of all medical conditions listed on death certificates--are used to study hypertension mortality in New York State during 1968-82. Mortality rates based on underlying causes for ischemic heart disease (IHD) and stroke are selected for comparison. During 1968-78, white women showed the largest age-adjusted decline of all race-sex groups for hypertension, as white men did for stroke and nonwhite men did for IHD. White men showed the largest age-adjusted decline for all three diseases for 1979-82. In general, declines in hypertension death rates are more comparable to declines in stroke mortality than to IHD mortality.     

Influence of individual and neighbourhood socioeconomic status on mortality among black,Mexican-American,and white women and men in the United States

STUDY OBJECTIVE:s: This study examines the influence of individual and neighbourhood socioeconomic status (SES) on mortality among black, Mexican-American, and white women and men in the US. The authors had three study objectives. Firstly, they examined mortality rates by both individual level SES (measured by income, education, and occupational/employment status) and neighbourhood level SES (index of neighbourhood income/wealth, educational attainment, occupational status, and employment status). Secondly, they examined whether neighbourhood SES was associated with mortality after controlling for individual SES. Thirdly, they calculated the population attributable risk to estimate the reduction in mortality rates if all women and men lived in the highest SES neighbourhoods. DESIGN: National Health Interview Survey (1987-1994), linked with 1990 census tract (neighbourhood proxy) and mortality data through 1997. SETTING/PARTICIPANTS: Nationally representative sample of 59 935 black, 19 201 Mexican-American, and 344 432 white men and women (six gender and racial/ethnic groups), aged 25-64 at interview. MAIN RESULTS: Mortality rates for all six gender and racial/ethnic groups were two to four times higher for those with the lowest incomes (lowest quartile) who lived in the lowest SES neighbourhoods (lowest tertile) compared with those with the highest incomes who lived in the highest SES neighbourhoods. For the six groups, the age adjusted mortality risk associated with living in the lowest SES neighbourhoods ranged from 1.43 to 1.61. The mortality risk decreased but remained significant (p values <.05) after adjusting for each of the three individual measures of SES, with the exception of Mexican-American women. Furthermore, the mortality risk associated with living in the lowest SES neighbourhoods remained significant after simultaneously adjusting for all three individual measures of SES for white men (p<0.001) and white women (p<0.05). Deaths would hypothetically be reduced by about 20% for each subgroup if everyone had the same death rates as those living in the highest SES neighbourhoods (highest tertile). CONCLUSIONS: Living in a low SES neighbourhood confers additional mortality risk beyond individual SES.     

Racial Segregation,Income Inequality,and Mortality in US Metropolitan Areas

Evidence of the association between income inequality and mortality has been mixed. Studies indicate that growing income inequalities reflect inequalities between, rather than within, racial groups. Racial segregation may play a role. We examine the role of racial segregation on the relationship between income inequality and mortality in a cross-section of US metropolitan areas. Metropolitan areas were included if they had a population of at least 100,000 and were at least 10% black (N = 107). Deaths for the time period 1991–1999 were used to calculate age-adjusted all-cause mortality rates for each metropolitan statistical area (MSA) using direct age-adjustment techniques. Multivariate least squares regression was used to examine associations for the total sample and for blacks and whites separately. Income inequality was associated with lower mortality rates among whites and higher mortality rates among blacks. There was a significant interaction between income inequality and racial segregation. A significant graded inverse income inequality/mortality association was found for MSAs with higher versus lower levels of black–white racial segregation. Effects were stronger among whites than among blacks. A positive income inequality/mortality association was found in MSAs with higher versus lower levels of Hispanic–white segregation. Uncertainty regarding the income inequality/mortality association found in previous studies may be related to the omission of important variables such as racial segregation that modify associations differently between groups. Research is needed to further elucidate the risk and protective effects of racial segregation across groups.     

Erratum to: Racial Segregation,Income Inequality,and Mortality in US Metropolitan Areas

Evidence of the association between income inequality and mortality has been mixed. Studies indicate that growing income inequalities reflect inequalities between, rather than within, racial groups. Racial segregation may play a role. We examine the role of racial segregation on the relationship between income inequality and mortality in a cross-section of US metropolitan areas. Metropolitan areas were included if they had a population of at least 100,000 and were at least 10% black (N = 107). Deaths for the time period 1991–1999 were used to calculate age-adjusted all-cause mortality rates for each metropolitan statistical area (MSA) using direct age-adjustment techniques. Multivariate least squares regression was used to examine associations for the total sample and for blacks and whites separately. Income inequality was associated with lower mortality rates among whites and higher mortality rates among blacks. There was a significant interaction between income inequality and racial segregation. A significant graded inverse income inequality/mortality association was found for MSAs with higher versus lower levels of black–white racial segregation. Effects were stronger among whites than among blacks. A positive income inequality/mortality association was found in MSAs with higher versus lower levels of Hispanic–white segregation. Uncertainty regarding the income inequality/mortality association found in previous studies may be related to the omission of important variables such as racial segregation that modify associations differently between groups. Research is needed to further elucidate the risk and protective effects of racial segregation across groups.     

Racial inequalities in access to women's health care in southern Brazil

The aim of this population-based cross-sectional study was to investigate access by 20 to 60 year-old women--both black and white--to early detection (pap-smear) exams for breast and cervical cancer in two towns--S?o Leopoldo and Pelotas--in Rio Grande do Sul State, southern Brazil. Estimates of the association between race/color and access to Pap-smear and breast exams were adjusted for income, education, economic class and age. Of the 2,030 women interviewed, 16.1% were black and 83.9%, white. Black women were significantly less likely to have had a Pap-smear and/or breast exam than white women. Racial inequalities in access to cancer early detection exams persisted after controlling for age and other socioeconomic factors. Racial differentials in access to early detection (Pap-smear) exams for breast and cervical cancers might result from racial and socioeconomic inequalities experienced by black women in access to reproductive health care services and programs.     

Economy, community and mortality in British Columbia, Canada

Stimulated by the growing body of literature relating economic inequalities to inequalities in health, this article explores relationships between various economic attributes of communities and mortality rates among 24 coastal communities in British Columbia, Canada. Average household income, a measure of community wealth, was negatively related and the incidence of low incomes, a measure of poverty, was positively related to age-standardized mortality. Both were more strongly related to female than male mortality. Mean and median household income, the incidence of low incomes and a lack of disposable income, and the proportion of total income dollars derived from government sources were significantly related to mortality rates for younger and middle-aged men but not for elderly men. Mortality rates for younger and middle-aged women were not explicated by these economic attributes of communities: among elderly women only, mortality rates were higher in communities with a lower average household income and in those with a higher incidence of low incomes. Finally, a higher concentration in white-collar industries was related to higher mortality rates for females, even after controlling for other economic attributes of communities. These results do not obviously support a psychosocial argument for an individual-level relationship between income and health that assumes residents perceive their status primarily in relation to other members of the same community, but do provide moderate support for the materialist argument and moderate support for the psychosocial argument that assumes community residents perceive their status in relation to an encompassing reference group. Other viable interpretations of these relationships pertain to ecological characteristics of communities that are related to both economic well-being and population health status; in this instance, concentration in specific economic industries may help to understand the ecological relationships presented here.     

Child health in the United States: Recent trends in racial/ethnic disparities

In the United States, race and ethnicity are considered key social determinants of health because of their enduring association with social and economic opportunities and resources. An important policy and research concern is whether the U.S. is making progress toward reducing racial/ethnic inequalities in health. While race/ethnic disparities in infant and adult outcomes are well documented, less is known about patterns and trends by race/ethnicity among children. Our objective was to determine the patterns of and progress toward reducing racial/ethnic disparities in child health. Using nationally representative data from 1998 to 2009, we assessed 17 indicators of child health, including overall health status, disability, measures of specific illnesses, and indicators of the social and economic consequences of illnesses. We examined disparities across five race/ethnic groups (non-Hispanic white, non-Hispanic black, Hispanic, non-Hispanic Asian, and non-Hispanic other). We found important racial/ethnic disparities across nearly all of the indicators of health we examined, adjusting for socioeconomic status, nativity, and access to health care. Importantly, we found little evidence that racial/ethnic disparities in child health have changed over time. In fact, for certain illnesses such as asthma, black–white disparities grew significantly larger over time. In general, black children had the highest reported prevalence across the health indicators and Asian children had the lowest reported prevalence. Hispanic children tended to be more similar to whites compared to the other race/ethnic groups, but there was considerable variability in their relative standing.     

Factors other than risks in the workplace as determinants of socioeconomic differences in health in Italy

To evaluate differences in mortality by social class and to determine the impacts of socioeconomic factors on health inequalities in Italy, mortality data from 1981-2001 were analyzed as a function of social class in Turin, controlling for occupational risks, housing conditions, and education. For general and cause-specific mortality, the weight of each socioeconomic indicator was evaluated on population-attributable fraction to social class. Among men, mortality risk was significantly higher in unskilled blue-collar workers (RR = 1.45). Among women, the differences by social class were slighter. Education and economic status mostly explain the mortality differences by social class in men, while economic status showed the highest contribution in women.     

Occupational class and ischemic heart disease mortality in the United States and 11 European countries.

OBJECTIVES: Twelve countries were compared with respect to occupational class differences in ischemic heart disease mortality in order to identify factors that are associated with smaller or larger mortality differences. METHODS: Data on mortality by occupational class among men aged 30 to 64 years were obtained from national longitudinal or cross-sectional studies for the 1980s. A common occupational class scheme was applied to most countries. Potential effects of the main data problems were evaluated quantitatively. RESULTS: A north-south contrast existed within Europe. In England and Wales, Ireland, and Nordic countries, manual classes had higher mortality rates than nonmanual classes. In France, Switzerland, and Mediterranean countries, manual classes had mortality rates as low as, or lower than, those among nonmanual classes. Compared with Northern Europe, mortality differences in the United States were smaller (among men aged 30-44 years) or about as large (among men aged 45-64 years). CONCLUSIONS: The results underline the highly variable nature of socioeconomic inequalities in ischemic heart disease mortality. These inequalities appear to be highly sensitive to social gradients in behavioral risk factors. These risk factor gradients are determined by cultural as well as socioeconomic developments.     

Race, occupation, and lung cancer: detecting disparities with death certificate data

OBJECTIVES: To determine whether the analysis of death certificate data would reveal the same relationship among race, occupational exposure, and lung cancer mortality observed by a large cohort study. METHODS: An occupation-specific mortality odds ratio (MOR) for lung cancer (ICD-162) versus all other causes was calculated for 218,341 black men and white men who had been employed in the metal industries. RESULTS: Black men were at increased risk for lung cancer mortality when compared with white men among the 4668 oven workers (MOR = 1.38, 95% CI = 1.10 to 1.73), but not among the 33,605 white-collar workers (MOR = 0.95, 95% CI = 0.74 to 1.23). CONCLUSIONS: Our findings corroborate a previously demonstrated association among exposure to carcinogenic coke oven emissions, race, and lung cancer mortality, and support the use of death certificate data to help identify occupations with racial disparities in lung cancer mortality.     

Socioeconomic inequalities in health in the working population: the contribution of working conditions

BACKGROUND: The aim was to study the impact of different categories of working conditions on the association between occupational class and self-reported health in the working population. METHODS: Data were collected through a postal survey conducted in 1991 among inhabitants of 18 municipalities in the southeastern Netherlands. Data concerned 4521 working men and 2411 working women and included current occupational class (seven classes), working conditions (physical working conditions, job control, job demands, social support at work), perceived general health (very good or good versus less than good) and demographic confounders. Data were analysed with logistic regression techniques. RESULTS: For both men and women we observed a higher odds ratio for a less than good perceived general health in the lower occupational classes (adjusted for confounders). The odds of a less than good perceived general health was larger among people reporting more hazardous physical working conditions, lower job control, lower social support at work and among those in the highest category of job demands. Results were similar for men and women. Men and women in the lower occupational classes reported more hazardous physical working conditions and lower job control as compared to those in higher occupational classes. High job demands were more often reported in the higher occupational classes, while social support at work was not clearly related to occupational class. When physical working conditions and job control were added simultaneously to a model with occupational class and confounders, the odds ratios for occupational classes were reduced substantially. For men, the per cent change in the odds ratios for the occupational classes ranged between 35% and 83%, and for women between 35% and 46%. CONCLUSIONS: A substantial part of the association between occupational class and a less than good perceived general health in the working population could be attributed to a differential distribution of hazardous physical working conditions and a low job control across occupational classes. This suggests that interventions aimed at improving these working conditions might result in a reduction of socioeconomic inequalities in health in the working population.     

Mortality,inequality and race in American cities and states

A number of studies have found that mortality rates are positively correlated with income inequality across the cities and states of the US. We argue that this correlation is confounded by the effects of racial composition. Across states and Metropolitan Statistical Areas (MSAs), the fraction of the population that is black is positively correlated with average white incomes, and negatively correlated with average black incomes. Between-group income inequality is therefore higher where the fraction black is higher, as is income inequality in general. Conditional on the fraction black, neither city nor state mortality rates are correlated with income inequality. Mortality rates are higher where the fraction black is higher, not only because of the mechanical effect of higher black mortality rates and lower black incomes, but because white mortality rates are higher in places where the fraction black is higher. This result is present within census regions, and for all age groups and both sexes (except for boys aged 1-9). It is robust to conditioning on income, education, and (in the MSA results) on state fixed effects. Although it remains unclear why white mortality is related to racial composition, the mechanism working through trust that is often proposed to explain the effects of inequality on health is also consistent with the evidence on racial composition and mortality.     

The role of income differences in explaining social inequalities in self rated health in Sweden and Britain.

STUDY OBJECTIVE: To analyse to what extent differences in income, using two distinct measures-as distribution across quintiles and poverty-explain social inequalities in self rated health, for men and women, in Sweden and Britain. DESIGN: Series of cross sectional surveys, the Swedish Survey of Living Conditions (ULF) and the British General Household Survey (GHS), during the period 1992-95. PARTICIPANTS AND SETTING: Swedish and British men and women aged 25-64 years. Approximately 4000 Swedes and 12 500 Britons are interviewed each year in the cross sectional studies used. The sample contains 15 766 people in the Swedish dataset and 49 604 people in the British dataset. MAIN RESULTS: The magnitude of social inequalities in less than good self rated health was similar in Sweden and in Britain, but adjusting for income differences explained a greater part of these in Britain than in Sweden. In Britain the distribution across income quintiles explained 47% of the social inequalities in self rated health among women and 31% among men, while in Sweden it explained, for women 13% and for men 20%. Poverty explained 22% for British women and 8% for British men of the social inequalities in self rated health, while in Sweden poverty explained much less (men 2.5% and women 0%). CONCLUSIONS: The magnitude of social inequalities in self rated health was similar in Sweden and in Britain. However, the distribution of income across occupational social classes explains a larger part of these inequalities in Britain than in Sweden. One reason for this may be the differential exposure to low income and poverty in the two countries.     

Social class inequalities in health among occupational cohorts from Finland,Britain and Japan: A follow up study

We examined whether relative occupational social class inequalities in physical health functioning widen, narrow or remain stable among white collar employees from three affluent countries. Health functioning was assessed twice in occupational cohorts from Britain (1997–1999 and 2003–2004), Finland (2000–2002 and 2007) and Japan (1998–1999 and 2003). Widening inequalities were seen for British and Finnish men, whereas inequalities among British and Finnish women remained relatively stable. Japanese women showed reverse inequalities at follow up, but no health inequalities were seen among Japanese men. Health behaviours and social relations explained 4–37% of the magnitude in health inequalities, but not their widening.