Issue 6, September
2000
Background Research has shown that childhood circumstances have long-term implications for both adult health and socioeconomic circumstances. Just as childhood conditions can be seen to influence adult health, so living and working conditions in adult life can be seen to influence health after retirement. Amongst the post-retirement population, most of the prevalent chronic illnesses have developed slowly over several decades. Whilst cross-sectional studies can explain some of the variations in the observed distribution of these illnesses, a method of examining the whole lifespan is needed to investigate the ways in which pre-retirement living and working conditions affect health after retirement. Birth cohort studies, where subjects are tracked from birth throughout life, are the most powerful research method for examining life course influences on health. However, the earliest birth cohort study members in Britain were born in 1946 and are currently in their early fifties, an age when most of the common illnesses of old age are not yet manifest. There remains, therefore, a need for collecting retrospective life course data. Between 1937 and 1939, the Rowett Research Institute, headed by Sir John Boyd Orr, conducted a nationwide survey of diet and health. Families from 16 centres in Scotland and England took part in a detailed inquiry into their diet and health (Gunnell et al. 1996). This survey is one of the most valuable sources of information on diet and health in pre-war Britain and provided an excellent opportunity to investigate the precursors of health in early old age by supplementing the archive data on childhood diet, health and living conditions with retrospective data on life since childhood. Data and methods Interviewees were asked about their living and working conditions since childhood. Using this information, we were able to calculate the number of years they had been exposed to given hazards, namely, air pollution, residential damp, occupational fumes and dusts, physically arduous labour, lack of job autonomy, inadequate nutrition in childhood and adulthood, and cigarette smoking. These hazards were selected on the basis that exposure to them is socially patterned and because they offer a biologically plausible link between exposure and morbidity/mortality. For example, air pollution, damp, fumes and dust and cigarette smoking are all contributory factors for respiratory disease, and lack of job autonomy has been associated with a increased risk of coronary heart disease. The number of years' exposure to each hazard were aggregated to create a combined lifetime hazard exposure score, providing a measure of the combined 'insults' with which the body's regenerative mechanism has to cope. Subjects were also asked about their current socioeconomic circumstances and health. Finally the subject's height, weight, blood pressure and lung function were measured. Retrospective interview data were supplemented by archive data from the original survey. Measured height was compared with self-reported height and height in childhood (Gunnell et al, 2000). Childhood height and the presence of signs of chronic disease, recorded in the original survey, were chosen as measures of childhood health. Results The association between childhood symptom status and lifetime hazard exposure was less clear. Males who showed signs of chronic disease at the clinical examination in childhood accumulated greater hazard exposure than their symptom-free peers. However, the relationship for females was reversed, with those who were symptom-free accumulating greater hazard exposure. Figure 1: Lifetime
exposure to combined hazards: childhood height and symptoms by father's
social class
One possible explanation for this is that the presence of these symptoms in childhood, more so than short stature, is likely to be recognized as a sign of physical frailty. It may well be the case that, where possible, parents set such children on a 'protective' life trajectory, avoiding further rapid hazard accumulation by, for example, entering non-manual occupations (Blane et al. 1999). Those who are not afforded such protection may experience a greater accumulation of hazard exposure. Those least likely to receive such protection, for whom alternatives to paid (or, at the very least, less hazardous) employment were most restricted, were men from manual class homes. Health inequalities in adulthood may partly reflect a lifetime's differential accumulation of exposure to health-damaging and health-promoting environments. These results show childhood disadvantage is associated with the accumulation of further disadvantage in terms of exposure to health damaging hazards throughout the life course. This supports other evidence that individuals experiencing disadvantage as children are more likely to accumulate further disadvantages. The social patterning of this hazard exposure is further illustrated when we look at the current socioeconomic status of our subjects. Current socioeconomic
status and previous lifetime hazard exposure The most likely explanation
for this is the social mobility of men who had spent the bulk of their
working lives in social class IIIM, with its relatively high risk of hazard
exposure, who then established their own businesses later in life and
moved into social class II. In contrast to such men, it would be expected
that subjects who remained in social class IINM for the bulk of their
working life would amass less hazard exposure. When the subjects were
classified as being either manual or non-manual class, highly significant
differences, for both men and women, were found between the two groups
(Berney et al, 2000). In addition to information on occupation, data on
a range of additional socioeconomic indicators were also collected, including
housing tenure, car ownership, possession of a works or private pension,
and receipt of state benefits. On each measure, those who were disadvantaged
after retirement had previously accumulated longer lengths of exposure
to the hazards than those who were advantaged after retirement.
Looking at each of the individual physiological measures taken at the end of the interviews, it was found that lung function in women was related to factors across the whole life course. For women, their current social class, combined lifetime hazard exposure (independent of cigarette smoking status), years of cigarette smoking, and childhood socioeconomic position were all related to their measured lung function. Among men, however, lung function was found to be related only to their current social class and to combined lifetime hazard exposure (independent of cigarette smoking status). Both manual class men and manual class women had poorer lung function compared with their non-manual counterparts. Blood pressure in early old age was found to be unrelated to current social class. Whilst non-manual men and women did have lower systolic blood pressure than their manual counterparts, the difference was not statistically significant. However, it was found that diastolic blood pressure was related to a combination of (1) being of shorter than average height during childhood and (2) having a more obese than average Body Mass Index in early old age. Diastolic blood pressure was not related to either of these factors on their own; the life course effect appeared only when these childhood and adult factors were placed in a sequential or conditional relationship. Conclusions and
policy implications It appears that there are at least three ways in which the life course influences health in early old age. In some cases, such as lung function, the influences may accumulate across the whole life course, involving factors in childhood, adulthood and early old age. Alternatively, the later life relationship may have been determined largely, as in the case of adult height, at a much earlier stage of life. Finally, as in the case of blood pressure, the relationship may be conditional in that factors from different stages in the life course have to occur sequentially before the later life effect is produced. Both of the major government investigations into health inequalities in the U.K., the Black Report (DHSS 1980) and the Acheson Report (DH 1998), emphasised in their policy proposals the importance of improving the circumstances of children in reducing health inequalities in the long-term. Deprivation and ill health in childhood negatively impact on adult health. We found that disadvantage and ill health in childhood predicted disadvantage and ill health in adulthood. However, in addition to this, we would argue that no stage of the life course is particularly privileged. Those of our subjects who were currently in the most disadvantaged circumstances in retirement were more likely to be in poor health and more likely to have had the highest levels of hazard exposure. Such a combination of events does not occur randomly: it is socially structured. Interventions which improve living and working conditions, such as reducing exposure to the hazards we have looked at, will help no matter what stage of the life course they target. In the same way as disadvantage has a knock-on effect in terms of future ill-health and further disadvantage, assistance, be it in terms of better housing, improved working conditions, cleaner air or better nutrition, will have knock-on benefits. The Acheson Report has emphasized that intersectorality is the key to tackling health inequalities. At home, at school, at work - there are hazards to health and signs that can be identified and acted upon. Inequalities in health in early old age may be greatly reduced by an approach that seeks to address these life course influences. This project was funded by the ESRC Health Variations Programme from October 1996 to October 1998. For further information please contact: Contact Selected papers drawn on for these Findings Blane, D. (1996) 'Collecting
retrospective data: development of a reliable method and a pilot study
of its use' Social Science and Medicine, 42 : 751-757. The findings draw on research funded by the Economic and Social Research Council under the Health Variations Programme. Views expressed are those of the authors and not necessarily those of the ESRC.
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