Eero Lahelma

Educational differences in smoking: international comparison

Abstract 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 74years. 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.

Trends in smoking behaviour between 1985 and 2000 in nine European countries by education

Objective: To examine whether trends in smoking behaviour in Western Europe between 1985 and 2000 differed by education group. Design: Data of smoking behaviour and education level were obtained from national cross sectional surveys conducted between 1985 and 2000 (a period characterised by intense tobacco control policies) and analysed for countries combined and each country separately. Annual trends in smoking prevalence and the quantity of cigarettes consumed by smokers were summarised for each education level. Education inequalities in smoking were examined at four time points. Setting: Data were obtained from nine European countries: Norway, Sweden, Denmark, Finland, the United Kingdom, the Netherlands, Germany, Italy, and Spain. Participants: 451 386 non-institutionalised men and women 25–79 years old. Main outcome measures: Smoking status, daily quantity of cigarettes consumed by smokers. Results: Combined country analyses showed greater declines in smoking and tobacco consumption among tertiary educated men and women compared with their less educated counterparts. In country specific analyses, elementary educated British men and women, and elementary educated Italian men showed greater declines in smoking than their more educated counterparts. Among Swedish, Finnish, Danish, German, Italian, and Spanish women, greater declines were seen among more educated groups. Conclusions: Widening education inequalities in smoking related diseases may be seen in several European countries in the future. More insight into effective strategies specifically targeting the smoking behaviour of low educated groups may be gained from examining the tobacco control policies of the UK and Italy over this period.

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.

Gender, socioeconomic status and family status as determinants of food behaviour

This study examines social structural and family status factors as determinants of food behaviour. The data were derived from the FINMONICA Risk Factor Survey, collected in Finland in spring 1992. A multidimensional framework of the determinants of food behaviour was used, including social structural position, family status and gender. The associations between the determinants of food behaviour were estimated by multivariate logistic regression models, adjusted for age and regional differences. Food behaviour was measured by an index including six food items which were chosen based on Finnish dietary guidelines. In general, womens food behaviour was more in accordance with the dietary guidelines than that of men. The pattern of association between educational level and food behaviour was similar for both genders, but slightly stronger for men than women. Employment status was associated only with womens food behaviour, but the tendency was the same for men. Marital status was associated with mens as well as womens food behaviour. The food behaviour of married men and women was more in line with the dietary guidelines than the food behaviour of those who had been previously married. Parental status, however, was only associated with womens food behaviour, that is, the food behaviour of women with young children was more closely in line with the dietary guidelines than that of the rest of the women.

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 (≈0.7-0.8cm/5 years for men and ≈0.4cm/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.

MULTIPLE ROLES AND HEALTH AMONG BRITISH AND FINNISH WOMEN: THE INFLUENCE OF SOCIOECONOMIC CIRCUMSTANCES *

Two contrasting hypotheses have been presented to predict womens health variations. The Multiple burden hypothesis predicts that combining a paid job, being married, and having children is likely to be detrimental to womens health. The multiple attachment hypothesis predicts that multiple roles provide attachment to the community, which is likely to be beneficial to womens health. These hypotheses are examined in Britain and Finland, which have different patterns of womens employment participation. Lone mothers form a critical case, since they have fewer attachments and greater burdens, and therefore are expected to have poorer health. The socioeconomic position of lone mothers differs in Britain and Finland, but in both societies they are likely to have fewer attachments. We assess the extent to which health variations between women with different family and parental role combinations are because of the differences in their socioeconomic status and material circumstances. Comparable surveys from Britain and Finland from 1994 were used. Perceived general health and limiting long-standing illness were analysed for working age women (20-49 years) by family type and employment status. as well as other socioeconomic variables. In both countries, women living in two parent families and having children had better health than women living in other family types or on their own. Lone mothers form a disadvantaged group and showed overall worse health in both countries. Adjusting for employment status. education and household income weakened the association between family type and poor health. The findings are broadly in accordance with the multiple attachment hypothesis. Despite the more generous welfare state and high full-time employment among Finnish women, single lone mothers report poorer health than other women in Finland as well as in Britain. However, in Britain the disadvantaged social position of lone mothers accounts for a greater proportion of their poor health than in Finland.

Multiple socio-economic circumstances and healthy food habits

Objective:To examine associations between seven indicators of socio-economic circumstances and healthy food habits, while taking into account assumed temporal order between these socio-economic indicators.Design and setting:Data were derived from cross-sectional postal questionnaires in 2000–2002. Socio-economic circumstances were assessed by parental education, childhood economic difficulties, own education, occupational class, household income, home ownership and current economic difficulties. Healthy food habits were measured by an index consisting of consumption of fresh vegetables, fruit or berries, rye bread, fish and choosing vegetable fats on bread and oil in cooking. Sequential logistic regression models were used, adjusting for age and marital status.Participants:Employees of the City of Helsinki, Finland (n=8960, aged 40–60 years).Results:Healthy food habits were reported by 28% of women and by 17% of men. Own education, occupational class, household income, home ownership and current economic difficulties were associated with healthy food habits. These associations were attenuated but mainly remained after mutual adjustments for the socio-economic indicators. Among women, a pathway was found suggesting that part of the effects of education on food habits were mediated through occupational class.Conclusions:Employees in higher and lower socio-economic positions differ in their food habits, and those in lower positions and economically disadvantaged are less likely to report healthy food habits. Health promotion programmes and food policies should encourage healthier food choices among those in lower socio-economic positions and among those with economic difficulties in particular.Sponsorship:Academy of Finland.

Associations of job strain and working overtime with adverse health behaviors and obesity: evidence from the Whitehall II Study, Helsinki Health Study, and the Japanese Civil Servants Study

Adverse health behaviors and obesity are key determinants of major chronic diseases. Evidence on work-related determinants of these behavioral risk factors is inconclusive, and comparative studies are especially lacking. We aimed to examine the associations between job strain, working overtime, adverse health behaviors, and obesity among 45-60-year-old white-collar employees of the Whitehall II Study from London (n=3,397), Helsinki Health Study (n=6,070), and the Japanese Civil Servants Study (n=2,213). Comparable data from all three cohorts were pooled, and logistic regression analysis was used, stratified by cohort and sex. Models were adjusted for age, occupational class, and marital status. Outcomes were unhealthy food habits, physical inactivity, heavy drinking, smoking, and obesity. In London, men reporting passive work were more likely to be physically inactive. A similar association was repeated among women in Helsinki. Additionally, high job strain was associated with physical inactivity among men in London and women in Helsinki. In London, women reporting passive work were less likely to be heavy drinkers and smokers. In Japan, men working overtime reported less smoking, whereas those with high job strain were more likely to smoke. Among men in Helsinki the association between working overtime and non-smoking was also suggested, but it reached statistical significance in the age-adjusted model only. Obesity was associated with working overtime among women in London. In conclusion, job strain and working overtime had some, albeit mostly weak and inconsistent, associations with adverse health behaviors and obesity in these middle-aged white-collar employee cohorts from Britain, Finland, and Japan.

Register-based study among employees showed small nonparticipation bias in health surveys and check-ups

OBJECTIVES To examine nonparticipation to a questionnaire survey and occupational health check-ups by sociodemographic variables and health status, measured by medically confirmed sickness absence, and whether the associations between other study variables and participation were affected by health status. STUDY DESIGN AND SETTING Questionnaire surveys and health check-ups were conducted among the City of Helsinki employees. Sample information was derived from the employers personnel register and analyzed by participation and giving consent to link the data to external administrative registers. RESULTS Participation to the questionnaire survey was more common among the older, higher occupational classes, those with higher income, permanent employment, and those with no absence due to medically confirmed sickness. Among women in particular, the differences were small. Consent giving followed generally similar patterns than survey response. Nonparticipation to health check-ups was related to low income and temporary employment contract. In both questionnaire survey and health check-ups, associations between other study variables and participation were not affected by health status. CONCLUSIONS Questionnaire surveys and health check-ups were broadly representative of the target population. Associations between other study variables and participation did not differ by health status. This suggests that even when the data are not fully representative associations between the study variables need not to be biased.

Smoking cessation by socioeconomic status and marital status: The contribution of smoking behavior and family background

We studied socioeconomic status and marital status as predictors of smoking cessation, adjusting for previous smoking behavior and family background by using a large Finnish prospective twin dataset unselected for smoking behavior. The data were collected by postal surveys in 1981 and 1990, and the sample comprised 3,069 current smokers, of whom 20% had quit smoking by 1990. Logistic regression analyses of all twin individuals and conditional logistic regression analysis of discordant pairs were used to predict smoking cessation. High education predicted smoking cessation among both men (OR=2.32, 95% CI=1.31-4.10) and women (OR=3.98, 95% CI=1.85-8.51) as did high social class among women. Additionally, starting at a late age, smoking a small number of cigarettes per day, and a low level of nicotine per cigarette predicted cessation. Socioeconomic differences in cessation diminished only slightly when we adjusted for smoking behavior factors. Among the twin pairs who were discordant in terms of smoking cessation, the twin who continued smoking also smoked more on average at baseline (men: OR=.94, 95% CI=.89-.99; women: OR=.82, 95% CI=.71-.94). The male twins who continued smoking had a smaller probability of getting married during the follow-up than had the cotwin who had quit smoking (OR=3.91, 95% CI=1.02-15.02). Indicators of socioeconomic status were important predictors of smoking cessation even when we adjusted for previous smoking behavior. For men, marriage was associated with an increased probability of cessation