Social inequalities and health: ecological study of mortality in Budapest, 1980-3 and 1990-3

Methods and results

Budapest comprises 22 local administrative districts ranging in population size from 34 778 to 174 509. We used three census indicators of disadvantage in 1980 and 1990: the percentage of unskilled workers among the economically active population; the percentage of residents aged25 years who had not completed a course at university or college; and, as an indicator of overcrowding, the number of people per 100 rooms in occupied dwellings. We converted each indicator to a z score (with a mean of 0 and a standard deviation of 1). These z scores were summed to give a composite social disadvantage indicator.2 We sorted the districts in descending order of disadvantage, on the basis of the mean composite indicator for 1980 and 1990, and grouped together the five most disadvantaged districts and the five least disadvantaged.

We defined “amenable” mortality as deaths in the age group 0-64 years that were potentially preventable by direct, timely, and appropriate medical care; we defined “non-amenable” mortality, including ischaemic heart disease, as deaths from all causes in the age group 0-64 years minus amenable mortality. Except for maternal deaths, all mortality data were standardised for age and sex by the indirect method, by using total age, sex, and cause specific rates from 1980-3. Using the confidence interval analysis program,3 we calculated the ratio of the standardised mortality ratios (and 95%confidence intervals) of the most to the least disadvantaged group of districts and, within each group, the ratio of 1990-3 to 1980-3.

The recorded standardised mortality ratios in each diagnostic category and time period were universally lower in the least disadvantaged group of districts than in the most disadvantaged group. The ratios of the standardised mortality ratios of the most to the least disadvantaged groups were all in excess of unity and showed significantly higher mortality for the most disadvantaged group. Moreover, each ratio increased between 1980-3 and 1990-3 (table).

Within the group of most disadvantaged districts, the ratio of standardised mortality ratios in 1990-3 compared with 1980-3 increased significantly in males for all causes (1.05 (95% confidence interval 1.02 to 1.09)) and non-amenable causes (1.08 (1.04 to 1.12)). In the least disadvantaged group, in both sexes and each diagnostic category, the ratios decreased, with the confidence intervals also lying below unity, except for non-amenable mortality in males (0.96 (0.91 to 1.01)).

Comment

The increase in inequality of mortality with time among the disadvantaged populations compared with the affluent populations in Budapest, encompassed both amenable and non-amenable categories. These findings are not markedly different from those in Britain during a similar period, although absolute mortality reductions have been smaller in Hungary.4There was no convincing evidence to resolve whether the health effects were the result of absolute or relative differences in deprivation. Between the two periods relative differences between the most and least disadvantaged groups increased for two indicators and the absolute difference rose only for the proportion who had not completed university or college (from 16.7% to 20.8%). A state controlled approach may be added to the failures of Western systems to reverse the association of poor health with social disadvantage. As the free market economy and health insurance based services replace previous systems in Hungary, and as income distribution becomes more inequitable, urgent research and intervention will be needed to control the social inequality in all aspects of health, as identified by the World Health Organisation's Health for All 2000 initiative.5