Social class inequalities in the decline of coronary heart disease among New Zealand men, 1975-1977 to 1985-1987

Socioeconomic and living conditions are determinants of hip fracture incidence and age occurrence among community-dwelling elderly

In this prospective, 10-year study in community-dwelling elderly aged 50 years and over, hip fracture incidence and accordingly age at hip fracture were inversely associated with the area-level income, independently of the geographical area. Age at hip fracture also depended of marital status but in a gender-specific way.

PURPOSE

The purpose of this study is to investigate the impact of socioeconomic and living conditions on hip fracture incidence and age occurrence among community-dwelling elderly.

METHOD

Between January 1991 and December 2000, 2,454 hip fractures were recorded in community-dwelling adults aged 50 years and over in the Geneva University Hospital, State of Geneva, Switzerland. Median annual household income by postal code of residence (referred to as area-level income) based on the 1990 Census was used as a measure of socioeconomic condition and was stratified into tertiles (< 53,170; 53,170-58,678; and ≥ 58,678 CHF). Hip fracture incidence and age occurrence were calculated according to area-level income categories and adjusted for confounding factors among community-dwelling elderly.

RESULTS

Independently of the geographical area (urban versus rural), community-dwelling persons residing in areas with the medium income category presented a lower hip fracture incidence [OR 0.91 (0.82-0.99), p = 0.049] compared to those from the lowest income category. Those in the highest income category had a hip fracture at a significant older age [+1.58 (0.55-2.61) year, p = 0.003] as compared to those in the lowest income category. Age at hip fracture also depended on marital status but in a gender-specific way, with married women fracturing earlier.

CONCLUSIONS

These results indicate that incidence and age occurrence of hip fracture are influenced by area-level income and living conditions among community-dwelling elderly. Prevention programs may be encouraged in priority in communities with low income.

Socioeconomic gradients in mortality in the oldest old: a review

This review aims at identifying gaps in knowledge on socioeconomic gradients in mortality in the oldest old. The authors review literature on oldest old population with a focus on unanswered questions: do socioeconomic status (SES) gradients in mortality persist after 80; does the magnitude of the gradient change as compared with younger populations; which socioeconomic/socio-demographic determinants should be used in this population with specific characteristics (e.g., with respect to sex ratio and household type)? Results are often inconsistent while conclusions drawn by selected studies are generally limited by the difficulty of disentangling the effects of age and cohort, and of generalizing results observed in preponderantly small, selected samples (which typically exclude institutionalized persons). Future research should explore the effects of socio-demographic indicators other than education and social class (e.g., marital status, loss of the partner) and adequately differentiate the social position of oldest old women. The authors recommend that research applies a life-course perspective combined with an interdisciplinary perspective to improve our understanding of the SES gradients in later life. Research is needed to elucidate which causal pathways depending on SES in younger age impact on mortality in higher ages up to oldest old.

Educational inequalities in mortality among Israeli Jews: Changes over time in a dynamic population

Changes in educational inequalities in mortality in a country that underwent a sudden population growth were examined using two census-based longitudinal studies from Israel (I, 1983-1992, n=152,150 and II, 1995-2004, n=209,125). Relative changes in educational inequalities in mortality were assessed using mortality rates and odds ratios and their corresponding 95% confidence intervals. Decreases in mortality rates and widening relative educational inequalities in mortality were seen over time. Among recent immigrants, educational inequalities in mortality existed but to a lesser degree than for residents. The widening gap (2.5-fold) in cardiovascular disease mortality risks observed for low versus high educated middle-aged women, was particularly alarming. The observed decreasing mortality rates, indicative of a healthier society, alongside widening educational inequalities in mortality indicates uneven changes within the population.

Effects of husbands’ and wives’ education on each other's mortality

Education is an important predictor of one's own cardiovascular disease (CVD) and overall mortality. Little is known, however, regarding the effect of other individuals, specifically a spouse, on these risks. In the present study, we examine the contribution of a spouse's educational attainment and the effect of educational discrepancy between spouses on CVD and overall mortality. Data were taken from the Israel Longitudinal Mortality Study, which linked a 20% sample of the 1983 census to mortality records through 1992. The study cohort comprised 37,618 married couples aged 45-69 years. During the 9.5-year follow-up 6,058 men and 2,568 women died. Overall and CVD mortality hazard ratios were calculated using Cox proportional hazard regression models. We found that the educational attainment of both spouses were significant predictors of one's own overall mortality. For CVD mortality, however, a wife's educational attainment was a stronger predictor of her husband's risk of dying than his own educational level, while for women a husband's education had little affect. Educational discrepancy between partners did not affect overall mortality and had a varied effect on CVD mortality by sex. Specifically, highly educated women had an almost two-fold increased risk of CVD mortality when married to less educated husbands, while lesser-educated women were not affected by their spouses' educational attainment. Spouses' education adds valuable information when assessing mortality differentials among married persons, and socioeconomic characteristics of one's immediate family are important influences on one's health.

Health inequalities among minority populations

There are several challenges facing scholars studying health inequalities among minority populations. Primary among these challenges are developing adequate measures of social inequality and introducing appropriate strategies for eliminating health disparities. More research is sorely needed on both of these fronts as evidenced by the health paradox facing black, middle class men and women. This effort, however, can best move the study of health inequalities forward when juxtaposed against theoretical paradigms that embrace the complexity of the intersection of race, class, and gender.

Occupational social class and mortality in a population of men economically active: The contribution of education and employment situation

This study examines how education and employment situation contribute to the association between a classification of occupational class based on skill assets and mortality from different causes of death. Data were obtained by linking records from the 1996 population census for Spanish men aged 35-64 residing in Madrid with 1996 and 1997 mortality records. The risk of mortality was higher in skilled, semi-skilled and unskilled workers than in higher and lower managerial and professional workers. Adjusting for educational level substantially decreased the magnitude of the gradient. The decrease in the gradient after adjusting for employment situation was much smaller. Except in the case of mortality from respiratory diseases, the mortality gradient disappeared after adjusting for both variables. These results show that education and, to a much lesser degree, employment situation explain part of the social gradient observed in mortality from all causes and from broad causes of death, except from respiratory diseases.

Educational differentials in mortality from cardiovascular disease among men and women: the Israel Longitudinal Mortality Study

PURPOSE

While socioeconomic inequalities in cardiovascular disease have been observed in most industrialized countries, available information in Israel centers on ethnic variations and the role of education has yet to be investigated. This study examines educational differentials in cardiovascular mortality in Israel for both men and women aged 45 to 69 and 70 to 89 years.

METHODS

Data are based on a linkage of records from a 20% sample of the 1983 census with the records of deaths occurring until the end of 1992. The study population includes 152,150 individuals and the number of cardiovascular deaths was 14,651. Educational differentials were assessed for mortality of diseases of the circulatory system, ischemic heart diseases, cerebrovascular diseases, hypertensive diseases, and sudden death.

RESULTS

Substantial mortality differentials were found among individuals aged 45 to 69 years, with larger inequalities among women. The age-adjusted relative risk for mortality of cardiovascular diseases among those with elementary education (< or =8 years) compared with those with high education (> or=13 years) was 1.46 (95% CI: 1.32-1.61) for men and 2.06 (95% CI: 1.76-2.41) for women. Differentials among the elderly were markedly narrower than those for younger adults. Similar trends were observed for mortality of subgroups of causes including cerebrovascular diseases and ischemic heart diseases. Educational differentials were not affected by adjustment for ethnic origin and car ownership.

CONCLUSIONS

Those with 8 years of education or less suffer higher risk of cardiovascular mortality compared with adults with 13 or more years of education. Young, less educated women are more vulnerable, and health and social policies oriented towards this group are needed.

Diabetes-related inequalities in health status and financial barriers to health care access in a population-based study

AIMS

We evaluated the relationship between diabetes, health status, household income and expenditure on health care in the general population in Trinidad.

METHODS

Multistage sampling of 300 households was used to select a sample of 548 adults aged > or = 25 years. There were 64 (12%) who reported a diagnosis of diabetes. Comparison was made with 128 non-diabetic controls who were frequency matched for age and sex.

RESULTS

Subjects with diabetes had lower income levels than non-diabetic controls [income < or = US dollars 533 per month for 66% diabetes cases and 48% controls, test for trend P = 0.007]. Compared with controls, subjects with diabetes were less likely to have good or very good self-rated health (diabetes 32%, controls 67%; P < 0.001), and more frequently reported long-standing illness, limitation of activities, visual impairment, or self-reported history of high blood pressure, angina or heart attack. Subjects with diabetes (11%) were less likely than controls (30%) to have private health insurance (P = 0.005). Diabetic subjects (35%) were more likely than controls (16%) to have incurred expenditure on doctors' services in the last 4 weeks (P = 0.021).

CONCLUSIONS

Diabetes is associated with worse health status and more frequent expenditure on medical services but greater financial barriers to access in terms of low income and lack of health insurance. Policies for diabetes should specifically address the problem of income-related variations in risk of diabetes, health care needs and barriers to uptake of preventive and treatment services, otherwise inequalities in health from this condition may increase.

Contribution of contemporaneous risk factors to social inequality in coronary heart disease and all causes mortality

BACKGROUND

The relationship between low social status and premature mortality is well established, although the explanation for this link is unclear. This study explores the contribution to the social inequalities in coronary heart disease (CHD) and death of smoking status, cotinine, alcohol status, type A personality score, leisure activity, diabetes, systolic and diastolic blood pressure, body mass index, total and HDL cholesterol, triglycerides, fibrinogen, and vitamin C consumption.

METHODS

A random sample of 11,629 Scottish men and women, ages 40-59 years, was recruited in 1984-1987 and followed up for an average of 7.7 years for death and major coronary events. Social status was measured by housing tenure--renters being more socially deprived. Hazard ratios were computed from Cox models.

RESULTS

Adjusted for age, renters have 1.48 times the risk of CHD compared to owner-occupants (95% CI: 1.21, 1.80) in men and 2.64 (1.89, 3.68) in women, and for all-cause mortality 1.55 (1.26, 1.90) and 2.12 (1.58, 2.84). The 14 risk factors explained 73% (men) and 77% (women) of the social differences in CHD. Equivalent figures for deaths were 51 and 64%.

CONCLUSIONS

Fourteen contemporaneous risk factors, smoking being the most important, explain most of the social differential in CHD and death.

Measuring total health inequality: adding individual variation to group-level differences

BACKGROUND: Studies have revealed large variations in average health status across social, economic, and other groups. No study exists on the distribution of the risk of ill-health across individuals, either within groups or across all people in a society, and as such a crucial piece of total health inequality has been overlooked. Some of the reason for this neglect has been that the risk of death, which forms the basis for most measures, is impossible to observe directly and difficult to estimate. METHODS: We develop a measure of total health inequality - encompassing all inequalities among people in a society, including variation between and within groups - by adapting a beta-binomial regression model. We apply it to children under age two in 50 low- and middle-income countries. Our method has been adopted by the World Health Organization and is being implemented in surveys around the world; preliminary estimates have appeared in the World Health Report (2000). RESULTS: Countries with similar average child mortality differ considerably in total health inequality. Liberia and Mozambique have the largest inequalities in child survival, while Colombia, the Philippines and Kazakhstan have the lowest levels among the countries measured. CONCLUSIONS: Total health inequality estimates should be routinely reported alongside average levels of health in populations and groups, as they reveal important policy-related information not otherwise knowable. This approach enables meaningful comparisons of inequality across countries and future analyses of the determinants of inequality.

Education and survival: birth cohort, period, and age effects

Previous studies have found that educational differences in mortality are weaker among the elderly. In this study I examine whether either cohort or period effects may have influenced the interpretation of age effects. Six 10-year birth cohorts are followed over 30 years through decennial censuses. Differential survival is inferred from changes in the relative proportions of a cohort in each education category as the cohort ages. In cross-section, younger persons generally show stronger education effects on survival, although this pattern is clearer for women than for men. There is evidence of period effects. Within cohorts, relative survival tends to increase with age.

[Inequality of workers' survival in Botucatu, São Paulo State, Brazil]

The aim of this observational study was to estimate the survival function and risk of death in Botucatu, Southeast Brazil, by occupation. The occupational history of inhabitants of Botucatu who died after their 10th birthday from January 1, 1997, to March 31, 1998, was analyzed, as were the occupational histories of workers' spouses. A total of 992 subjects were studied. Data were analyzed by fitting a proportional hazards model where the time variable was age at death or at time of interview and the main co-variable was occupation. Results showed that risk of death increased consistently as the level of occupational specialization decreased, displaying a 12-year increase in life expectancy for professional as compared to unskilled workers.

Why reduce health inequalities?

It is well known that social, cultural and economic factors cause substantial inequalities in health. Should we strive to achieve a more even share of good health, beyond improving the average health status of the population? We examine four arguments for the reduction of health inequalities.1 Inequalities are unfair. Inequalities in health are undesirable to the extent that they are unfair, or unjust. Distinguishing between health inequalities and health inequities can be contentious. Our view is that inequalities become "unfair" when poor health is itself the consequence of an unjust distribution of the underlying social determinants of health (for example, unequal opportunities in education or employment).2 Inequalities affect everyone. Conditions that lead to marked health disparities are detrimental to all members of society. Some types of health inequalities have obvious spillover effects on the rest of society, for example, the spread of infectious diseases, the consequences of alcohol and drug misuse, or the occurrence of violence and crime.3 Inequalities are avoidable. Disparities in health are avoidable to the extent that they stem from identifiable policy options exercised by governments, such as tax policy, regulation of business and labour, welfare benefits and health care funding. It follows that health inequalities are, in principle, amenable to policy interventions. A government that cares about improving the health of the population ought therefore to incorporate considerations of the health impact of alternative options in its policy setting process.3 Interventions to reduce health inequalities are cost effective. Public health programmes that reduce health inequalities can also be cost effective. The case can be made to give priority to such programmes (for example, improving access to cervical cancer screening in low income women) on efficiency grounds. On the other hand, few programmes designed to reduce health inequalities have been formally evaluated using cost effectiveness analysis. We conclude that fairness is likely to be the most influential argument in favour of acting to reduce disparities in health, but the concept of equity is contested and susceptible to different interpretations. There is persuasive evidence for some outcomes that reducing inequalities will diminish "spill over" effects on the health of society at large. In principle, you would expect that differences in health status that are not biologically determined are avoidable. However, the mechanisms giving rise to inequalities are still imperfectly understood, and evidence remains to be gathered on the effectiveness of interventions to reduce such inequalities.

Evidence of increasing coronary heart disease mortality among black men of lower social class

PURPOSE

Few data are available to examine coronary heart disease (CHD) mortality trends by social class in the United States, in contrast to ample data and well-documented social class disparities in CHD in Europe. In addition, previous analyses of U.S. national data indicated that the rate of decline in CHD mortality slowed substantially for blacks in the 1980s. Using a recently published method for calculating mortality rates by social class, we examined trends in CHD mortality for black men and white men aged 35-54 in North Carolina from 1984 to 1993.

METHODS

Men were assigned to one of four social classes: primary white collar (I), secondary white collar (II), primary blue collar (III), or secondary blue collar (IV), based on usual occupation as recorded on the death certificate. Population denominators for each social class were constructed using data from census Public Use Microdata Sample files. Average annual percent change in mortality rates for each race-social class group was derived from linear regression of the log-transformed age-adjusted rates.

RESULTS

For black men, CHD mortality increased by 18% in social class II, by 2% in social class III, and by 6% in social class IV over the 10-year study period. In contrast, CHD mortality decreased by 33% for black men in social class I (the highest class). CHD mortality declined for all white men, with the greatest decline in social class I and the least decline in social class IV.

CONCLUSIONS

These results suggest that CHD prevention efforts have not benefited black men of lower social class, and that public health programs need to be targeted to these men.

Socioeconomic differences in stroke among Dutch elderly women: the Rotterdam Study

BACKGROUND AND PURPOSE

We sought to assess the association between socioeconomic status and the risk of stroke among elderly women. Methods--The association between socioeconomic status and stroke emerged in cross-sectional and longitudinal data on 4274 female participants of the Rotterdam Study, a prospective, population-based, follow-up study in the Netherlands among older subjects.

RESULTS

A history of stroke was more common among women in lower socioeconomic strata. The same trend was observed for the relationship between the lowest socioeconomic groups and the incidence of stroke. Risk factors for stroke were not related to socioeconomic status in a consistent manner. Smoking, history of cardiovascular diseases, and overweight were more common in lower socioeconomic groups. However, socioeconomic differences in hypertension, antihypertensive drug use, prevalence of atrial fibrillation, and prevalence of left ventricular hypertrophy were not observed. The complex of established risk factors could only partly explain the association between socioeconomic status and stroke.

CONCLUSIONS

There is a strong association among elderly women between socioeconomic status and stroke. The association could only partly be explained by known risk factors. Our findings indicate that not only the actual risk profile but also risk factors earlier in life may be of importance.

Inequalities in the transition of ischaemic heart disease mortality in New South Wales, Australia, 1969-1994

This paper examines changes in ischaemic heart disease mortality in New South Wales between 1969 and 1994, with particular reference to the 1969-1973, 1979-1983, 1985-1989 and 1990-1994 periods. Using death certificate data and unit list mortality files, and considering occupational differentials among males, and marital status and regional and intra-metropolitan variations among males and females, the question whether changes in differentials in mortality from heart disease occurred during this mortality transition is asked. Mortality from ischaemic heart disease declined in all marital status and occupational status groups, and in all geographical areas, but it declined more slowly among never married and divorced males, among manual workers, and in lower income areas. Whereas ischaemic heart disease mortality was lower in most rural areas than in metropolitan Sydney at the beginning of the period, in the 1990s it was significantly more elevated in inland small towns and rural areas than in the metropolis. Differentials increased over time, more especially with males.

Social class and coronary artery disease in a urban population of North India in the Indian Lifestyle and Heart Study

OBJECTIVE

To determine the association of social class with prevalence of coronary risk factors and coronary artery disease (CAD).

DESIGN AND SETTING

Total community cross sectional survey of 20 randomly selected streets in the city of Moradabad.

SUBJECTS AND METHODS

1806 urban (904 men and 902 women) randomly selected subjects aged 25-64 years. The survey methods were physician and dietitian administered questionnaire, physical examination and electrocardiography. All subjects were divided into social classes 1-5 based on attributes of education, occupation, per capita income, housing condition and consumer durables and other family assets.

RESULTS

Social classes 1, 2 and 3 were mainly high and middle socioeconomic groups and 3 and 4 low income groups. The prevalence of CAD and coronary risk factors hypercholesterolemia, hypertension, diabetes mellitus and sedentary lifestyle were significantly higher among social classes 1, 2 and 3 in both sexes compared to lower social classes. Mean serum cholesterol, triglycerides, low density lipoprotein cholesterol and blood pressure were significantly associated with higher and middle social classes. Smoking was significantly associated with lower social classes. Multivariate logistic regression analysis after adjustment of age revealed that social class was positively associated with CAD (odds ratio: men 0.84, women 0.86), hypercholesterolemia (men 0.87, women 0.85), hypertension (men 0.91, women 0.89), diabetes mellitus (men 0.71, women 0.68) and sedentary lifestyle (men 0.68, women 0.66). Smoking was significantly associated with CAD in men.

CONCLUSION

Social class 1, 2 and 3 in an urban population of India have a higher prevalence of CAD and coronary risk factors hypercholesterolemia, hypertension, diabetes mellitus and sedentary lifestyle in both sexes.

High prevalence of obesity in low income and multiethnic schoolchildren: a diet and physical activity assessment

The objective of the study was to assess the prevalence of obesity and/or undernutrition and evaluate diet and activity patterns among schoolchildren from an ethnically diverse low income urban population. A cross-sectional survey of 498 children aged 9-12 y from 24 schools in low income multiethnic neighborhoods in Montreal, Canada was undertaken. Height, weight, dietary intake, physical activity record, and lifestyle and demographic characteristics were measured. There was no evidence of undernutrition because linear growth was appropriate for age, but 39.4% of children were overweight (>85th percentile NHANES II). Dietary fat intake was higher in children from single-parent families (P < 0.001) and those with mothers born in Canada. Intake of vitamins A, C, iron and folate was directly related to income sufficiency. Children who did more physical activity had significantly higher intakes of energy, calcium, iron, zinc and fiber but were not heavier. Dietary intake was systematically underreported among overweight children, i.e., their reported intakes did not meet calculated energy needs. This underreporting makes it difficult to attribute the accumulated energy imbalance to either energy intake or expenditure.

The "Yes, I Quit" smoking cessation course: does it help women in a low income community quit?

The objectives were to evaluate the impact of "Yes, I Quit" (a smoking cessation course tailored for women in a low income, low education community), and to identify baseline predictors of short and longer-term self-reported cessation. The impact was evaluated in a before-after study design with no comparison group. Baseline data were collected in self-administered questionnaires at the beginning of the first session of the course. Follow-up data were collected in telephone interviews at one, three and six months after the designated Quit Day. Self-reported quit rates among 122 participants were 31.1%, 24.7% and 22.3% at one, three and six months. Non-quitters reduced their consumption by 10.3, 8.3, and 7.1 cigarettes per day at one, three and six months. Multivariate logistic regression analyses showed that being in excellent/good health was significantly associated with cessation at one month (odds ratio (OR) = 2.4). Being married (OR = 13.0) and no other smokers in the household (OR = 3.6) were associated with three-month cessation. Only being married was associated with six-month cessation (OR = 6.8). "Yes, I Quit" produced quit rates among low income, low education participants comparable to those reported for cessation programs directed at the general population of smokers. Good health is associated with early cessation, while support from a spouse is important to maintaining a non-smoking status among quitters.

The socio-economic distribution of heart diseases: changing gradients in The Netherlands

Two different Dutch data-sets were used to examine trends in the association between socio-economic characteristics and the risk of heart disease. Data of the Dutch Quality of Life Surveys allowed the examination of trends in the association between educational level and self-reported heart disease during the period 1974-1993. For both the general Dutch population and the subpopulation of men aged 40 years and older, we found an inverse gradient during the whole period. The gradient climaxed at 1980-1983, and narrowed afterwards. Furthermore, ecological analyses, relating regional mean personal incomes to regional directly standardised mortality rates of coronary heart diseases (CHD) and all heart diseases, showed similar patterns of social differentials. The findings suggest that, in the Netherlands, there is a narrowing gradient of the association between socio-economic characteristics and heart disease in the late eighties and early nineties.

Social class and race disparities in premature stroke mortality among men in North Carolina

The purpose of this work was to examine the association between social class and premature stroke mortality among blacks and whites. For black men and white men in North Carolina, aged 35-54 years, mortality data from vital statistics files and population data from Census Public Use Microdata Sample files were matched according to social class for the years 1984-1993. Four categories of social class were defined based upon a two-dimensional classification scheme of occupations. For each category of social class, race-specific age-adjusted stroke mortality rates were calculated, and race-specific prevalences of income, wealth, education, unemployment, and disability were estimated. Women were excluded because comparable information on social class was not available from the mortality and population data sources. For both black men and white men, the highest rates of premature stroke mortality were observed among the lowest social classes. The rate ratios (RR) between the lowest and highest social class were 2.8 for black men and 2.3 for white men. Within each social class, black men had substantially higher rates of premature stroke mortality than white men (black-to-white RR ranged from 4.0 to 4.9). Among both black men and white men, the highest social class consistently had the most favorable levels of income, wealth, education, and employment. The inverse association between social class and stroke mortality for both black men and white men supports the need for stroke prevention efforts that address the structural inequalities in economic and social conditions.

Childhood socioeconomic status and risk of cardiovascular disease in middle aged US women: a prospective study

OBJECTIVE

To examine prospectively the relationship of childhood socioeconomic status and risk of cardiovascular disease in middle aged women.

DESIGN

A prospective cohort of women with 14 years follow up data (1976-90).

SUBJECTS

A total of 117,006 registered female nurses aged 30 to 55 years in 1976 and free of diagnosed coronary heart disease, stroke, and cancer at baseline.

MAIN OUTCOME MEASURES

Incident fatal coronary heart disease, non-fatal myocardial infarction, and stroke (fatal and non-fatal).

RESULTS

Low socioeconomic status in childhood was associated with a modestly increased risk of incident non-fatal myocardial infarction and total cardiovascular disease in adulthood. Compared with middle aged women from white collar childhood backgrounds, the age adjusted risk of total cardiovascular disease for women from blue collar backgrounds was 1.13 (95% CI 1.02, 1.24) and that of non-fatal myocardial infarction was 1.23 (95% CI 1.06, 1.42). No significant increase in risk was observed for stroke or fatal coronary heart disease. Adjustment for differences in family and personal past medical history, medication use, exercise, alcohol intake, diet, birth weight, being breastfed in infancy, and adult socioeconomic circumstance somewhat attenuated the increased risks observed for women from blue collar childhood socioeconomic backgrounds. In multivariate analysis, women whose fathers had been manual labourers had the highest relative risk of total coronary heart disease (RR = 1.53; 95% CI 1.09, 2.16) and non-fatal myocardial infarction (RR = 1.67; 95% CI 1.11, 2.53) when compared with women whose fathers had been employed in the professions.

CONCLUSION

In this group lower childhood socioeconomic status was associated with a small but significant increase in the risk of total coronary heart disease as well as non-fatal myocardial infarction. For women from the most socioeconomically disadvantaged childhood backgrounds, the association is not explained by differences in a large number of cardiovascular risk factors, by differences in adult socioeconomic status, or by differences in indices of nutrition during gestation or infancy.

Socio-economic status and risk factors for cardiovascular disease: a multicentre collaborative study in the International Clinical Epidemiology Network (INCLEN). The INCLEN Multicentre Collaborative Group

As part of a multicentre collaborative study of risk factors for cardiovascular disease (CVD) in the International Clinical Epidemiology Network (INCLEN), each of 12 Centres in 7 countries examined the relationship between CVD risk factors and socio-economic variables. Each Centre (three in Thailand, two each in China, Chile and Brazil and one each in the Philippines, Indonesia and Colombia) examined approx. 200 men aged 35-65 drawn at random from a population within their locality (not designed to be necessarily representative of the general population). Standardized measures of CVD risk factors included body mass index (BMI), blood pressure, blood cholesterol and cigarette smoking habits. Education, occupation and current income were grouped into ordinal categories of socio-economic status according to standard protocol guidelines, and comparisons were made between risk factor levels within each of these categories. Many of these populations had higher levels of education (as a marker of socio-economic status) than would the general population of their country. For both BMI and blood cholesterol there were a number of centres which showed positive associations with socio-economic status. These were predominately in China or urban or rural South East Asia. For blood pressure and cigarette smoking the associations with socio-economic status tended to be negative, more in line with the direction of association seen in the "Developed" World. The high risk factor levels found in these populations, particularly the alarming prevalence of cigarette smoking in Asia and the high cholesterol levels in Latin America and Urban S.E. Asia suggest that CVD will emerge as a major public health problem in the Developing World.(ABSTRACT TRUNCATED AT 250 WORDS)

Social class gradients in years of potential life lost in Switzerland

Analysis of the official Swiss mortality data have shown considerable social differences. In an earlier study of Swiss men aged 15-74 for the period 1979-1982 the social class mortality differentials have been analysed using standardized mortality ratios (SMR). The present study extends this previous work by calculating years of potential life lost (YPLL) before age 75, an additional indicator of mortality that puts more importance on deaths at younger ages. Emphasis is given on causes contributing to most years of life lost, especially to accidents and violent deaths, which result in more than 30% of total years of life lost. The distribution of years of life lost of the most important causes to social classes is illustrated also for age-specific groups. Additionally, this article presents all causes which account for more than 3% of total years of life lost. The social inequalities are shown as ratios between the social class with the highest (skilled manual workers) and the lowest risk (professionals). Most years of life are lost by skilled manual workers not only in general but also cause-specific. While the SMR from all causes of death showed a 2-fold difference between professionals and skilled manual workers, the social gradient in YPLL rate was even larger (2.5). Hence, the measure of years of potential life lost emphasizes the disadvantage of skilled manual workers to die earlier than professionals. The concept of YPLL proved to be a useful additional indicator not only of mortality in general, but also especially for monitoring causes, related to the lower social classes.