Study objective: Many previous studies on socioeconomic inequalities in health have neglected the causal interdependencies between different socioeconomic indicators. This study examines the pathways between three socioeconomic determinants of ill health. Design, setting, and participants: Cross sectional survey data from the Helsinki health study in 2000 and 2001 were used. Each year employees of the City of Helsinki, reaching 40, 45, 50, 55, and 60 years received a mailed questionnaire. Altogether 6243 employees responded (80% women, response rate 68%). Socioeconomic indicators were education, occupational class, and household income. Health indicators were limiting longstanding illness and self rated health. Inequality indices were calculated based on logistic regression analysis. Main results: Each socioeconomic indicator showed a clear gradient with health. Among women half of inequalities in limiting longstanding illness by education were mediated through occupational class and household income. Inequalities by occupational class were largely explained by education. A small part of inequalities for income were explained by education and occupational class. For self rated health the pathways were broadly similar. Among men most of the inequalities in limiting longstanding illness by education were mediated through occupational class and income. Part of occupational class inequalities were explained by education. Two thirds of inequalities by income were explained by education and occupational class. Conclusions: Parts of the effects of each socioeconomic indicator on health are either explained by or mediated through other socioeconomic indicators. Analyses of the predictive power of socioeconomic indicators on health run the risk of being fruitless, if interrelations between various indicators are neglected.

Background and aims: Socioeconomic differences in smoking have been well established. While previous studies have mostly relied on one socioeconomic indicator at a time, this study examined socioeconomic differences in smoking by using several indicators that reflect different dimensions of socioeconomic position. Data and methods: Data derive from Helsinki Health Study baseline surveys conducted among the employees of the City of Helsinki in 2000 and 2001. The data include 6243 respondents aged 40–60 years (response rate 68%). Six socioeconomic indicators were used: education, occupational status, household income per consumption unit, housing tenure, economic difficulties and economic satisfaction. Their associations with current smoking were examined by fitting sequential logistic regression models. Results: All socioeconomic indicators were strongly associated with smoking among both men and women. When the indicators were examined simultaneously their associations with smoking attenuated, especially when education and occupational status were considered together, and when income and housing tenure were introduced into the models already containing education and occupational status. After mutual adjustment for all socioeconomic indicators, housing tenure and economic satisfaction remained associated with smoking in men. In women, all indicators except income and economic difficulties were inversely associated with smoking after adjustments. Conclusions: Smoking was associated with structural, material as well as perceived dimensions of socioeconomic disadvantage. Attempts to reduce smoking among the socioeconomically disadvantaged need to target several dimensions of socioeconomic position.

Background: Health behaviours are potential explanatory factors for socioeconomic differences in mortality. We examined the extent to which seven health behaviours covering dietary habits, smoking and physical avtivity, can account for relative differences in cardiovascular and all-cause mortality by educational level. Methods: Health behaviour data derived from nationwide Finnish health behaviour surveys from the years 1979 to 2001. These annually repeated cross-sectional surveys were linked to register-based information on educational level and subsequent mortality from the year of the survey until the end of 2001 (average follow-up time 11.9 years). The analyses included 29 065 men and 31 543 women of whom 4263 died. Cardiovascular disease (CVD), coronary heart disease (CHD), stroke and all-cause mortality was studied. Results: Educational level showed a graded association with all mortality outcomes. Health behaviours explained 54% of the relative difference between primary and higher educational level in CVD mortality among in men and 22% among in women. For all-cause mortality the corresponding figures were 45 and 38%. Smoking, vegetable use and physical activity were the most important health behaviours explaining educational level differences in all mortality outcomes, while the effects of type of fat used on bread, coffee drinking, relative weight and alcohol use were small. Conclusions: Smoking, low vegetable use and physical inactivity explained a substantial part of educational level differences in cardiovascular and all-cause mortality among men and women. Socioeconomic trends in these behaviours are of crucial importance in determining whether socioeconomic mortality differences will widen or narrow in the future.

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. 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. Employees of the City of Helsinki, Finland (n=8960, aged 40–60 years). 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. 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. Academy of Finland.

Objectives. We examined socioeconomic inequalities in self-rated health by analyzing indicators of childhood socioeconomic circumstances, adult socioeconomic position, and current material resources. Methods. We collected data on middle-aged adults employed by the City of Helsinki (n=8970; 67% response rate). Associations between 7 socioeconomic indicators and health self-ratings of less than “good” were examined with sequential logistic regression models. Results. After adjustment for age, each socioeconomic indicator was inversely associated with self-rated health. Childhood economic difficulties, but not parental education, were associated with health independently of all other socioeconomic indicators. The associations of respondents’ own education and occupational class with health remained when adjusted for other socioeconomic indicators. Home ownership and economic difficulties, but not household income, were the material indicators associated with health after full adjustment. Conclusions. Own education and occupational class showed consistent associations with health, but the association with income disappeared after adjustment for other socioeconomic indicators. The effect of parental education on health was mediated by the respondent’s own education. Both childhood and adulthood economic difficulties showed clear associations with health and with conventional socioeconomic indicators.

Summary: It has been suggested that there are associations among insomnia symptoms and unhealthy behaviours. However, previous studies are sparse and mainly cross‐sectional, and have not been focused on several key unhealthy behaviours. The aim of this study was to examine whether the associations are bidirectional, i.e. whether insomnia symptoms are associated with subsequent unhealthy behaviours, and whether unhealthy behaviours are associated with subsequent insomnia symptoms. The data were derived from the Helsinki Health Study prospective cohort study. The baseline data were collected in 2000–02 (n = 8960, response rate 67%) among 40–60‐year‐old employees of the City Helsinki, Finland. The follow‐up data were collected in 2007 (n = 7332, response rate 83%). Logistic regression analysis was used to examine the associations among insomnia symptoms and unhealthy behaviours, including smoking, heavy and binge drinking, physical inactivity and unhealthy food habits. Frequent insomnia symptoms at baseline were associated with subsequent heavy drinking [odds ratio (OR): 1.34; 95% confidence interval (CI): 1.07–1.68] and physical inactivity (OR: 1.27; 95% CI: 1.08–1.48) after full adjustment for gender, age, corresponding unhealthy behaviour at baseline, marital status, occupational class, sleep duration and common mental disorders. Additionally, heavy drinking (OR: 1.48; 95% CI: 1.22–1.80) and binge drinking (OR: 1.26; 95% CI: 1.08–1.46) at baseline were associated with subsequent insomnia symptoms at follow‐up after full adjustment. In conclusion, insomnia symptoms were associated with subsequent heavy drinking and physical inactivity, and heavy and binge drinking were also associated with subsequent insomnia symptoms.