A comparative appraisal of the relationship of education, income and housing tenure with less than good health among the elderly in Europe.

The objective of this study was to determine the strength of various socio-economic indicators for predicting less than good health among elderly people aged 60-79 years. Data were obtained from national health surveys from 10 European countries. Education, income and housing tenure were examined in relation to less than good health using standardised prevalence rates and (multiple) logistic regression analyses. The results illustrated that there are substantial health differences among the elderly according to education and income in each country. Both education and income (with men) showed a strong independent relationship with health status. Health differences according to housing tenure were generally somewhat smaller. However, in Great Britain and the Netherlands housing tenure demonstrated large health differences, even after adjustment for education and income. It is recommended that more refined socio-economic measures are developed and that in the meantime both education and income are used when studying socio-economic health differences among the elderly. In some countries, like Great Britain and the Netherlands, however, housing tenure has an additional value.

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.

Socioeconomic differences in the prevalence of common chronic diseases: an overview of eight European countries.

BACKGROUND: Few studies have compared socioeconomic inequalities in the prevalence of both fatal and non-fatal diseases. This paper aims to give the first international overview for several common chronic diseases. METHODS: Micro-level data were pooled from non-standardized national health surveys conducted in eight European countries in the 1990s. Surveys ranged in size from 3700 to 41 200 participants. The prevalence of 17 chronic disease groups were analysed in relation to education. Standardized prevalence rates and age-adjusted odds ratios (ORs) were calculated. RESULTS: Most diseases showed higher prevalence among the lower education group. Stroke, diseases of the nervous system, diabetes, and arthritis displayed relatively large inequalities (OR > 1.50). No socioeconomic differences were evident for cancer, kidney diseases, and skin diseases. Allergy was more common in the higher education group. Relative socioeconomic differences were often smaller among the 60-79 age group as compared with the 25-59 age group. Cancer was more prevalent among the lower educated in the 25-59 age group, but among the higher educated in the 60-79 age group. For diabetes, hypertension, and heart disease, socioeconomic differences were larger among women as compared with men. Inequalities in heart disease were larger in northern European countries as compared with southern European countries. CONCLUSION: There are large variations between chronic diseases in the size and pattern of socioeconomic differences in their prevalence. The large inequalities that are found for some specific fatal diseases (e.g. stroke) and non-fatal diseases (e.g. arthritis) require special attention in equity-oriented research and policies.

Trends in socioeconomic health inequalities in the Netherlands, 1981-1999.

STUDY OBJECTIVE: To determine changes in socioeconomic inequalities in self reported health in both the 1980s and the 1990s in the Netherlands. DESIGN: Analysis of trends in socioeconomic health inequalities during the last decades of the 20th century were made using data from the Health Interview Survey (Nethhis) and the subsequent Permanent Survey on Living Conditions (POLS) from Statistics Netherlands. Socioeconomic inequalities in self assessed health, short-term disabilities during the past 14 days, long term health problems and chronic diseases were studied in relation to both educational level and household income. Trends from 1981 to 1999 were studied using summary indices for both the relative and absolute size of socioeconomic inequalities in health. SETTING: The Netherlands. PARTICIPANTS: For the period 1981-1999 per year a random sample of about 7000 respondents of 18 years and older from the non-institutionalised population. MAIN RESULTS: Socioeconomic inequalities in self assessed health showed a fairly consistent increase over time. Socioeconomic inequalities in the other health indicators were more or less stable over time. In no case did socioeconomic inequalities in health seemed to have decreased over time. Socioeconomic inequalities in self assessed health increased both in the 1980s and the 1990s. This increase was more pronounced for income (as compared with education) and for women (as compared with men). CONCLUSION: There are several possible explanations for the fact that, in addition to stable health inequalities in general, income related inequalities in some health indicators increased in the Netherlands, especially in the early 1990s. Most influential were perhaps selection effects, related to changing labour market policies in the Netherlands. The fact that the health inequalities did not decrease over recent years underscores the necessity of policies that explicitly aim to tackle these inequalities.