Russell Ecob

Income and health: what is the nature of the relationship?

The aim of this article is to examine the relationship between income and morbidity, both before and after controlling for other socio-economic variables. We use data from the Health and Lifestyle Survey (first wave), a national sample survey of adults, aged 18 upwards, in England, Wales and Scotland, conducted in 1984-1985. In total, 9003 interviews were achieved. We examine the shape of the relationship between household equivalised income and height, waist-hip ratio, respiratory function (FEV1), malaise, limiting longterm illness. These indices of morbidity, both self-reported and measured, are approximately linearly related to the logarithm of income, in all except very high and low incomes (this means that increasing income is associated with better health, but that there are diminishing returns at higher levels of income). A doubling of income is associated with a similar effect on health, regardless of the point at which this occurs, providing this is within the central portion (10-90%) of the income distribution. The effect of income on the health measures is comparable to that of the other socio-economic variables in combination. The shape of the relationship found between income and health is compatible with worse health in countries with greater income inequality, without the need to postulate any direct effect of income inequality itself.

Patterns of class inequality in health through the lifespan: class gradients at 15, 35 and 55 years in the west of Scotland.

Data confirming the existence of social inequalities in health have continued to accumulate since the Black Report reported class inequalities across a broad range of causes of mortality, with an increasing emphasis on indicators of morbidity and current health status. Although evidence of continuing inequalities mounts, elucidation of underlying mechanisms generating and maintaining such inequalities has been more elusive, and much of the debate has oscillated from the very broad to the very specific. In this paper, the class patterning of a range of non-fatal indicators of health are modelled in an attempt to outline first the adequacy of models of linear relationships for this range of measures, and secondly, the extent to which these are generalizable across a series of age/sex subgroups and across different domains of health. Data are presented here for representative community samples of men and women in adolescence, early- and late-midlife. While orderly relationships between social class and health were seen for the majority of the measures considered; the detailed patterns show considerable diversity. Thus for some aspects of health, notably height (itself often heralded as a broad indicator of health and early life experience), common class gradients were observed for both sexes at each of the stages of the life course examined. For others (notably mental health and presence of chronic illness), gradients were evident in later life but not in adolescence. Others still showed sex but not age differences in class patterning (typically measures of body shape), or no clear patterns (notably blood pressure and consultations with general practitioners). The current analysis draws attention to the consistency of gradients in early- and late-midlife, which are apparent despite the marked increase in the burden of poorer health which manifests between these life stages for almost all indicators of health (an exception being mental health). The challenges which this presents for understanding the mechanisms and processes which have been candidate explanations for social inequalities in health are discussed.

People, places and coronary heart disease risk factors: A multilevel analysis of the Scottish heart health study archive

The Scottish Heart Health Study (SHHS), which recruited 5123 men and 5236 women between 1984 and 1986, was set up in part to investigate geographical variation in coronary heart disease in Scotland. Multilevel models are particularly appropriate for such hierarchical data, in which the individuals in the study can be represented by the lower level and the districts in which they live by the higher level. Multilevel models are presented for four coronary heart disease risk factors-diastolic blood pressure, cholesterol, alcohol consumption (defined both as units of alcohol consumed per week and as being a non-drinker) and smoking, for men and women separately. Significant district level variance was found for three out of the four variables studied, after controlling for socioeconomic and other variables considered at the level of the individual. These were for diastolic blood pressure, cholesterol and alcohol. Although the large majority of the variance was present at the individual level, the existence of significant variance at the district level is evidence that places may have a role in the distribution of coronary heart disease risk. Health policy aimed at reducing coronary heart disease should therefore consider the characteristics of places as well as individuals.

Mortality variations in England and Wales between types of place: an analysis of the ONS longitudinal study

This study investigates the extent to which individuals, in England and Wales, in different types of place experience differential mortality once account is taken of personal (individual and household) social circumstances. Data comes from the Longitudinal Study of England and Wales of the Office of National Statistics, the respondents being a one percent national random sample of people aged between 25 and 74 at the 1971 census, followed until the end of 1985. For males and females separately, differences in mortality are found for the 36 types of Craig-Webber classification in models which include, at the individual level, a number of demographic and socio-economic variables (women being classified by their own occupation). In general, for both males and females, the same types of place have elevated or lowered mortality. For males a (cross-level) interaction exists between the proportion in the area in professional social classes and individual social class, the effects of individual social class being larger in areas containing a higher proportion of those in professional occupations. For females mortality is negatively related to the proportion of car-ownership in the area.

How sick is the West of Scotland? Age-specific comparisons with national datasets on a range of health measures

The Central Clydeside Conurbation (CCC) has relatively high mortality rates. This paper examines whether it also has relatively high rates of ill health, using data from three cohorts (aged 15, 35 and 55 in 1987/88) in the West of Scotland. Comparisons on a range of self-reported physical and mental health indicators, anthropometric measures, blood pressure, and respiratory function were made with comparable age groups in ten British or Scottish national studies. The older two cohorts in the CCC exhibited relatively high rates of longstanding and limiting longstanding illness and the youngest cohort had relatively poor psychosocial health, compared to their age peers elsewhere. Fewer differences were found in blood pressure, anthropometric measures or respiratory function although older CCC residents were slightly shorter than in Britain as a whole and had slightly poorer respiratory function. Central Clydesiders in the late 1980s were generally in poorer health than those of the same sex and similar age elsewhere in the UK, but the extent of the disadvantage varied across different dimensions of health, and was not as marked as some stereotypes of the West of Scotland would suggest.