Objective: To evaluate the differences in the consumption of fruit and vegetables between groups with different socio-economic status (SES) in the adult population of European countries. Design: A systematic review of published and unpublished surveys of food habits conducted between 1985 and 1999 in 15 European countries. Educational level and occupational status were used as indicators of SES. A pooled estimate of the mean difference between the highest and the lowest level of education and occupation was calculated separately for men and women, using DerSimonian and Laird's random effects model. Setting: The inclusion criteria of studies were: use of a validated method for assessing intake at the individual level; selection of a nationwide sample or a representative sample of a region; and providing the mean and standard deviation of overall fruit and vegetable consumption for each level of education or occupation, and separately for men and women. Subjects: Participants in the individual surveys had to be adults (18 ± 85 y). Results: Eleven studies from seven countries met the criteria for being included in the meta-analysis. A higher SES was associated with a greater consumption of both fruit and vegetables. The pooled estimate of the difference in the intake of fruit was 24.3 gapersonaday (95% con®dence interval (CI) 14.0 ± 34.7) between men in the highest level of education and those in the lowest level of education. Similarly, this difference was 33.6 gapersonaday for women (95% CI 22.5 ± 44.8). The differences regarding vegetables were 17.0 gapersonaday (95% CI 8.6 ± 25.5) for men and 13.4 gapersonaday (95% CI 7.1 ± 19.7) for women. The results were in the same direction when occupation instead of education was used as an indicator of SES. Conclusions: Although we cannot exclude over-reporting of intake by those with highest SES, it is unlikely that this potential bias could fully explain the differences we have found. Our results suggest that an unhealthier nutrition pattern may exist among adults belonging to lower socio-economic levels in Europe. Sponsorship: The present study was supported by the European Union's FAIR programme .
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.
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.
When estimating population level changes in health indicators, the declining response rate, especially if also the characteristics of non-respondents are changing may bias the outcome. There is evidence that survey response rates are declining in many countries. It is also known that respondents and non-respondents differ in their socio-economic and demographic status as well as in their health and health behaviours. There is no information about the changes in the differences between respondents and non-respondents over time. Our purpose was to investigate the changes over time in the differences between respondents and non-respondents in respect to their sex, age, marital status and educational level. The data from the Finnish Adult Health Behaviour Survey (1978-2002) was used. The response rate declined over the past 25 years for both men and women in all age groups. The decline was faster among men than women, and also faster in younger age groups than older age groups. There is a marked difference in the response rate between married and non-married persons but it did not change over time. Also the response rate between different educational levels differed for both men and women, and this difference increased over the years. The declining response rate and at the same time occurring change in the non-respondent characteristics will decrease the representativeness of the results, limit the comparability of the results with other surveys, increase the bias of the trend estimates and limit the comparability of the results between population groups.
BackgroundSocial capital is associated with health behaviours and health. Our objective was to explore how different dimensions of social capital and health-related behaviours are associated, and whether health behaviours mediate this association between social capital and self-rated health and psychological well-being.MethodsWe used data from the Health 2000 Survey (n=8028) of the adult population in Finland. The response rate varied between 87% (interview) and 77% (the last self-administered questionnaire). Due to item non-response, missing values were replaced using multiple imputation. The associations between three dimensions of social capital (social support, social participation and networks, trust and reciprocity) and five health behaviours (smoking, alcohol use, physical activity, vegetable consumption, sleep) were examined by using logistic regression and controlling for age, gender, education, income and living arrangements. The possible mediating role of health behaviours in the association between social capital and self-rated health and psychological well-being was also analysed with a logistic regression model.ResultsSocial participation and networks were associated with all of the health behaviours. High levels of trust and reciprocity were associated with non-smoking and adequate duration of sleep, and high levels of social support with adequate duration of sleep and daily consumption of vegetables. Social support and trust and reciprocity were independently associated with self-rated health and psychological well-being. Part of the association between social participation and networks and health was explained by physical activity.ConclusionsIrrespective of their social status, people with higher levels of social capital – especially in terms of social participation and networks – engage in healthier behaviours and feel healthier both physically and psychologically.
Objective: To present disparities in consumption of vegetables and fruits in Europe and to discuss how educational level, region and level of consumption influence the variation. Design: A review of selected studies from 1985 to 1997. Setting/subjects: 33 studies (13 dietary surveys, nine household budget surveys and 11 health behaviour surveys) representing 15 European countries were selected based on criteria developed as part of the study. Association between educational level and consumption of vegetables and fruits was registered for each study and common conclusions were identified. Results: In the majority of the studies, with the exception of a few in southern and eastern Europe, consumption of vegetables and fruits was more common among those with higher education. The results suggest that in regions where consumption of vegetables and fruits is more common, the lower social classes tend to consume more of these than the higher social classes. Conclusions: The differences in the patterns of disparities in vegetable and fruit consumption between regions, as well as within populations, need to be considered when efforts to improve nutrition and health are planned.
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