Biomedical subjects

A E Cavelaars

Publications and source records attributed to A E Cavelaars.

7 recordsLinked to original sources

PubMed2000

Educational differences in smoking: international comparison.

OBJECTIVE: To investigate international variations in smoking associated with educational level. DESIGN: International comparison of national health, or similar, surveys. SUBJECTS: Men and women aged 20 to 44 years and 45 to 74 years. SETTING: 12 European countries, around 1990. MAIN OUTCOME MEASURES: Relative differences (odds ratios) and absolute differences in the prevalence of ever smoking and current smoking for men and women in each age group by educational level. RESULTS: In the 45 to 74 year age group, higher rates of current and ever smoking among lower educated subjects were found in some countries only. Among women this was found in Great Britain, Norway, and Sweden, whereas an opposite pattern, with higher educated women smoking more, was found in southern Europe. Among men a similar north-south pattern was found but it was less noticeable than among women. In the 20 to 44 year age group, educational differences in smoking were generally greater than in the older age group, and smoking rates were higher among lower educated people in most countries. Among younger women, a similar north-south pattern was found as among older women. Among younger men, large educational differences in smoking were found for northern European as well as for southern European countries, except for Portugal. CONCLUSIONS: These international variations in social gradients in smoking, which are likely to be related to differences between countries in their stage of the smoking epidemic, may have contributed to the socioeconomic differences in mortality from ischaemic heart disease being greater in northern European countries. The observed age patterns suggest that socioeconomic differences in diseases related to smoking will increase in the coming decades in many European countries.

Adult↗

PubMed2000

Socioeconomic inequalities in cardiovascular disease mortality; an international study.

BACKGROUND: Differences between socioeconomic groups in mortality from and risk factors for cardiovascular diseases have been reported in many countries. We have made a comparative analysis of these inequalities in the United States and 11 western European countries. The aims of the analysis were (1) to compare the size of inequalities in cardiovascular disease mortality between countries, and (2) to explore the possible contribution of cardiovascular risk factors to the explanation of between-country differences in inequalities in cardiovascular disease mortality. DATA AND METHODS: Data on ischaemic heart disease, cerebrovascular disease and total cardiovascular disease mortality by occupational class and/or educational level were obtained from national longitudinal or unlinked cross-sectional studies. Data on smoking, alcohol consumption, overweight and infrequent consumption of fresh vegetables by occupational class and/or educational level were obtained from national health interview or multipurpose surveys and from the European Union's Eurobarometer survey. Age-adjusted rate ratios for mortality were correlated with age-adjusted odds ratios for the behavioural risk factors. RESULTS: In all countries mortality from cardiovascular diseases is higher among persons with lower occupational class or lower educational level. Within western Europe, a north-south gradient is apparent, with relative and absolute inequalities being larger in the north than in the south. For ischaemic heart disease, but not for cerebrovascular disease, an even more striking north-south gradient is seen, with some 'reverse' inequalities in southern Europe. The United States occupy intermediate positions on most indicators. Inequalities in cardiovascular disease mortality are associated with inequalities in some risk factors, especially cigarette smoking and excessive alcohol consumption. CONCLUSIONS: Socioeconomic inequalities in cardiovascular disease mortality are a major public health problem in most industrialized countries. Closing the gap between low and high socioeconomic groups offers great potential for reducing cardiovascular disease mortality. Developing effective methods of behavioural risk factor reduction in the lower socioeconomic groups should be a top priority in cardiovascular disease prevention.

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PubMed1999

Socioeconomic differences in health and well-being of children and adolescents in Iceland.

STUDY OBJECTIVE: To assess differences in health, healthcare use and well-being of children according to their socioeconomic situation. DESIGN: Part of a larger cross-sectional survey on health and well-being of children and their parents in the Nordic countries. SETTING: Iceland. PARTICIPANTS: A questionnaire was sent to the parents of a nationally representative sample of 3,007 school children aged two to seventeen years. MAIN RESULTS: The SES indicators used were education and occupation of both parents and the disposable income of the family. Logistic regression models were used for the analysis. Children of lower SES were found to have worse health and well-being than those of higher SES. Children of lower SES appeared to use doctor's services to the same degree as children of higher SES, especially after differences in ill health were taken into account. CONCLUSION: The association between SES and health status and well-being in adulthood can already be detected in childhood, even in an egalitarian country with a homogeneous population.

Adaptation, Psychological↗

PubMed1998

Morbidity differences by occupational class among men in seven European countries: an application of the Erikson-Goldthorpe social class scheme.

BACKGROUND: This paper describes morbidity differences according to occupational class among men from France, Switzerland, (West) Germany, Great Britain, the Netherlands, Denmark, and Sweden. METHODS: Data were obtained from national health interview surveys or similar surveys between 1986 and 1992. Four morbidity indicators were included. For each country, individual-level data on occupation were recorded according to one standard occupational class scheme: the Erikson-Goldthorpe social class scheme. To describe the pattern of morbidity by occupational class, odds ratios (OR) were calculated for each class using the average of the population as a reference. The size of morbidity differences was summarized by the OR of two broad hierarchical classes. All OR were age-adjusted. RESULTS: For all countries, a lower than average prevalence of morbidity was found for higher and lower administrators and professionals as well as for routine nonmanual workers, whereas a higher than average prevalence was found for skilled and unskilled manual workers and agricultural workers. Self-employed men were in general healthier than the average population. The relative health of farmers differed between countries. The morbidity difference between manual workers and the class of administrators and professionals was approximately equally large in all countries. Consistently larger inequality estimates, with no or slightly overlapping confidence intervals, were only found for Sweden in comparison with Germany. CONCLUSIONS: Thanks to the use of a common social class scheme in each country, a high degree of comparability was achieved. The results suggest that morbidity differences according to occupational class among men are very similar between different European countries.

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PubMed1998

Differences in self reported morbidity by educational level: a comparison of 11 western European countries.

STUDY OBJECTIVE: To assess whether there are variations between 11 Western European countries with respect to the size of differences in self reported morbidity between people with high and low educational levels. DESIGN AND METHODS: National representative data on morbidity by educational level were obtained from health interview surveys, level of living surveys or other similar surveys carried out between 1985 and 1993. Four morbidity indicators were included and a considerable effort was made to maximise the comparability of these indicators. A standardised scheme of educational levels was applied to each survey. The study included men and women aged 25 to 69 years. The size of morbidity differences was measured by means of the regression based Relative Index of Inequality. MAIN RESULTS: The size of inequalities in health was found to vary between countries. In general, there was a tendency for inequalities to be relatively large in Sweden, Norway, and Denmark and to be relatively small in Spain, Switzerland, and West Germany. Intermediate positions were observed for Finland, Great Britain, France, and Italy. The position of the Netherlands strongly varied according to sex: relatively large inequalities were found for men whereas relatively small inequalities were found for women. The relative position of some countries, for example, West Germany, varied according to the morbidity indicator. CONCLUSIONS: Because of a number of unresolved problems with the precision and the international comparability of the data, the margins of uncertainty for the inequality estimates are somewhat wide. However, these problems are unlikely to explain the overall pattern. It is remarkable that health inequalities are not necessarily smaller in countries with more egalitarian policies such as the Netherlands and the Scandinavian countries. Possible explanations are discussed.

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PubMed1997

Socioeconomic inequalities in morbidity and mortality in western Europe. The EU Working Group on Socioeconomic Inequalities in Health.

BACKGROUND: Previous studies of variation in the magnitude of socioeconomic inequalities in health between countries have methodological drawbacks. We tried to overcome these difficulties in a large study that compared inequalities in morbidity and mortality between different countries in western Europe. METHODS: Data on four indicators of self-reported morbidity by level of education, occupational class, and/or level of income were obtained for 11 countries, and years ranging from 1985 to 1992. Data on total mortality by level of education and/or occupational class were obtained for nine countries for about 1980 to about 1990. We calculated odds ratios or rate ratios to compare a broad lower with a broad upper socioeconomic group. We also calculated an absolute measure for inequalities in mortality, a risk difference, which takes into account differences between countries in average rates of illhealth. FINDINGS: Inequalities in health were found in all countries. Odds ratios for morbidity ranged between about 1.5 and 2.5, and rate ratios for mortality between about 1.3 and 1.7. For men's perceived general health, for instance, inequalities by level of education in Norway were larger than in Switzerland or Spain (odds ratios [95% CI]: 2.57 [2.07-3.18], 1.60 [1.30-1.96], 1.65 [1.44-1.88], respectively). For mortality by occupational class, in men aged 30-44, the rate ratio was highest in Finland (1.76 [1.69-1.83]), although there was no large difference in the size of the inequality in those countries with data. For men aged 45-59, for whom France did have data, this country had the largest inequality (1.71 [1.66-1.77]). In the age-group 45-64, the absolute risk difference ranked Finland second after France (9.8% [9.1-10.4], 11.5% [10.7-12.4]), with Sweden and Norway coming out more favourably than on the basis of rate ratios. In a scatter-plot of average rank scores for morbidity versus mortality. Sweden and Norway had larger relative inequalities in health than most other countries for both measures; France fared badly for mortality but was average for morbidity. INTERPRETATION: Our results challenge conventional views on the between-country pattern of inequalities in health in western European countries.

Adult↗

PubMedDate not supplied

Persistent variations in average height between countries and between socio-economic groups: an overview of 10 European countries.

PRIMARY OBJECTIVES: This paper aims to provide an overview of variations in average height between 10 European countries, and between socio-economic groups within these countries. DATA AND METHODS: Data on self-reported height of men and women aged 20-74 years were obtained from national health, level of living or multipurpose surveys for 1987-1994. Regression analyses were used to estimate height differences between educational groups and to evaluate whether the differences in average height between countries and between educational groups were smaller among younger than among older birth cohorts. RESULTS: Men and women were on average tallest in Norway, Sweden, Denmark and the Netherlands and shortest in France, Italy and Spain (range for men: 170-179 cm; range for women: 160-167 cm). The differences in average height between northern and southern European countries were not smaller among younger than among older birth cohorts. In most countries average height increased linearly with increasing birth-year (approximately 0.7-0.8 cm/5 years for men and approximately 0.4 cm/5 years for women). In all countries, lower educated men and women on average were shorter than higher educated men (range of differences: 1.6-3.0 cm) and women (range of differences: 1.2-2.2 cm). In most countries, education-related height differences were not smaller among younger than among older birth cohorts. CONCLUSIONS: The persistence of international differences in average height into the youngest birth cohorts indicates a high degree of continuity of differences between countries in childhood living conditions. Similarly, the persistence of education-related height differences indicates continuity of socio-economic differences in childhood living conditions, and also suggests that socio-economic differences in childhood living conditions will continue to contribute to socio-economic differences in health at adult ages.

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