PMCCPMCCPMCC

Search tips
Search criteria 

Advanced

 
Logo of jepicomhJournal of Epidemiology and Community HealthVisit this articleSubmit a manuscriptReceive email alertsContact usBMJ
 
J Epidemiol Community Health. 2007 November; 61(11): 1004–1009.
PMCID: PMC2465604

Childhood and adulthood socioeconomic position across 20 causes of death: a prospective cohort study of 800 000 Norwegian men and women

Abstract

Objective

To assess the impact of childhood and adulthood socioeconomic position (SEP) across 20 causes of death in a large population‐wide sample of Norwegian men and women.

Methods

Census data on parental occupational class from 1960 and data from the tax register on household income in 1990 were linked to the death register for 1990–2001, and 20 causes of death were studied. Relative indices of inequalities were computed. Norwegians in the age group 0–20 years in 1960 and still alive in 1990 were followed for deaths in 1990 to 2001. This follow up involved 795 324 individuals (78%) and 20 887 deaths.

Main results

In men most support for an effect of childhood socioeconomic position was found for stomach cancer, lung cancer, coronary heart disease, “other violent death”, and all causes of death. In women similar effects were found for lung cancer, cervical cancer, coronary heart disease, chronic obstructive pulmonary disease, and all causes of death.

Conclusions

The effect of childhood socioeconomic position relative to adulthood varies by cause of death. Although there are some exceptions, the patterns in men and women are generally similar.

Keywords: life course epidemiology, social inequality, cause‐specific mortality

Adverse social circumstances in childhood have been related to an increased risk of death in adulthood in several studies.1 Evidence points to a reasonably consistent picture of the contribution of childhood socioeconomic conditions to adult mortality risk. These effects are particularly strong for stomach cancer and haemorrhagic stroke. For coronary heart disease and chronic obstructive pulmonary disease, poor socioeconomic conditions over a lifetime seem to increase the risk in a cumulative manner. For smoking related and external causes of death, the relative effects of childhood and adult influences seem to be more context‐specific and to vary between populations.

Most of these studies have looked at the issue in men and for a restricted range of causes, predominantly cardiovascular outcomes. When women have been included in the studies few outcomes have been studied, owing to the small number of deaths. We know little about whether childhood socioeconomic position (SEP) influences the cause‐specific mortality pattern in adult life similarly for men and women. There are several reasons why the social environment in childhood may affect men and women differently. For example, there may be sex differences in the social patterning of risk, such as health related behaviour.2,3,4,5,6,7,8 Also, socioeconomic influences on factors unique to women, such as those related to reproduction, may generate differences.

Power et al recently investigated this issue among mothers of the 1958 cohort in Britain.9 They examined eight causes within a total of 3132 deaths. Effects of childhood SEP on mortality were generally smaller than had been seen for men, perhaps because of the older average age at death in women.10,11 Large studies need to be conducted in order to generate more robust evidence. In this study we took advantage of a large nationwide sample of men and women from a register linkage to compare the influence of childhood and adulthood SEP across a wide range of causes of death to see whether the pattern varied by sex and to extend current evidence to outcomes not previously studied.

Methods

The study included some of the 20 most common causes of death during the years 1990 to 2001. All death certificates were registered with Statistics Norway, without any missing cases. Deaths were coded according to the International Classification of Diseases (ICD): ICD‐9 until 1996 and ICD‐10 onwards (codes in ascending order): stomach cancer (ICD‐9: 151, ICD‐10: C16), large bowel and rectal cancer (ICD‐9: 153–154, ICD‐10: C18–C21), pancreatic cancer (ICD‐9: 157, ICD‐10: C25), lung cancer (ICD‐9: 162, ICD‐10: C34), breast cancer (ICD‐9: 174, ICD‐10: C50), prostate cancer (ICD‐9: 185, ICD‐10: C61), malignant melanoma (ICD‐9: 172, ICD‐10: C43), cervical cancer (ICD‐9: 180, ICD‐10: C53), ovarian cancer (ICD‐9: 183, ICD‐10: C56), diabetes (ICD‐9: 2500–2509 and ICD‐10: E100–E149), psychiatric causes (ICD‐9: 290, 292–302, 304, 306–319 and ICD‐10: F00–F09, F11–F69), alcohol related diseases (ICD‐9: 291, 303, 305, 571 and ICD‐10: F10, K70, Y91), coronary heart disease (ICD‐9: 410–414 and ICD‐10: I20–I25), haemorrhagic stroke (ICD‐9: 430, 431 and ICD‐10: I60, I61), thrombotic stroke (ICD‐9: 290.4, 433, 434, 435 and ICD‐10: I63, I67.8), aortic aneurysm (ICD‐9: 441 and ICD‐10: I710–I719), chronic obstructive pulmonary disease (ICD‐9: 490–496 and ICD‐10: J40–J47), asthma (ICD‐9: 493 and ICD‐10:J450–J459), suicide (ICD‐9: E950–E959 and ICD‐10: X60–X84), and other violent deaths (ICD‐9: 800–999 and ICD‐10: V01–X59, Y85–Y86).

The population included all Norwegian citizens in the age group 0 to 20 years in 1960 who lived in households with fewer than 13 people, lived in private households together with both parents (94.7%), and who had survived until 1990 at the time when adult SEP was recorded, in all 1 025 573 individuals (table 11).). In the regression analyses, those with fathers working as farmers (17.9%) and those with missing data on occupation in 1960 or income in 1990 were excluded from the analysis. This study population included 74.3% of all 0 to 20 year olds in 1960 who had survived until 1990. Deaths were followed over the period 3 November 1990 to 31 December 2001, at a time when the cohort would have reached the age of 41 to 61 years. In the 1960 census, children who in official registers were recorded as living in their parental household could be linked to their parents' occupational class. An upper cut off at 20 years was used because only a few had married (0.3%) and would then be registered with a household other than their parental one.12

Table thumbnail
Table 1 Percentage distribution (%) and age adjusted all cause mortality rates, 1990 to 2001 (per 10 000 person/years), according to father's occupational class in 1960 and household income in 1990 for the included and excluded ...

Occupational class in 1960 was divided into four categories: upper non‐manual, lower non‐manual, skilled manual, and unskilled manual. Farmers (18%) and those with missing occupation (1.5%) were excluded from the analysis. The income measure used in the 1990 census was earned gross income, which is the same as pensionable income and included income from work inside and outside ordinary jobs and income from self employment, deflated to 1990 Norwegian kroner (NOK), and divided by the square root of household members (consumer units). Zero or negative income was treated as missing, affecting 3%. Income was divided into four groups defined by the quartiles.

The relation between mortality and a childhood or adult SEP indicator was summarised by means of the relative index of inequality (RII). This index measures the size of differences in mortality across all SEP levels.13 The RIIs were fitted by Cox's proportional models, in which each socioeconomic category was given an SEP score, indicating the proportion of the population having a higher SEP level. The SEP score was determined by taking half the proportion of people with the same SEP level plus the proportion with a higher level. In this population the scores for the 1960 SEP measure were: upper non‐manual 0.037, lower non‐manual 0.195, skilled manual 0.487, and unskilled manual 0.829. For 1990 the scores were: highest income 0.125, second highest 0.375, third highest 0.625, and lowest income 0.875. The SEP score was then treated as a continuous variable in the regression models, and the exponentiated β coefficient associated with the SEP score yields the RII. The RII can be interpreted as comparing the hypothetically worst off with the best off person in the SEP hierarchy. The Cox proportional hazard regression was considered more appropriate than logistic regression because the study involved follow up of deaths in a period of 11 years. However, as the risk of death in the population is rather low for this age group, choosing any of these models is likely to have given similar results.

Results

In all, 55.2% of the cohort grew up with manual working fathers (table 11).). Those with farmers as fathers had similar mortality to those with lower non‐manual in men and upper non‐manual in women. Those with missing information on father's occupational class (1.5%) had increased mortality. The 3% with missing income in 1990 had greatly increased mortality, particularly the men.

There were 13 588 deaths among men and 7299 deaths among women in the follow up period (table 22).). The pattern of the relative contribution of childhood and adulthood social conditions and size of effect varied with respect to the cause of death. For unadjusted total mortality, the RII of father's occupational class was 1.48 in men and 1.30 in women.

Table thumbnail
Table 2 Age adjusted relative indices of inequality in 1960* and 1990 for cause‐specific mortality in 1990 to 2001 in men and women and both sexes, and interaction between sexes for the effect of 1960

The effects presented take all categories of the social measures into account and represent the increased risk in the hypothetically most disadvantaged over the least disadvantaged group. In men there were particularly strong effects of childhood circumstances for stomach cancer, lung cancer, psychiatric causes, alcohol related causes, coronary heart disease, chronic obstructive pulmonary disease (COPD), “other non‐violent” causes, and all causes of death. In men, there was an effect of adult social position for lung cancer, prostate cancer, psychiatric causes, alcohol related causes, coronary heart disease, COPD, asthma, diabetes, suicide, “other violent”, and all causes of death.

In women the pattern appeared to be similar to men for most causes of death. There were fewer deaths in women, and hence the confidence intervals were wider. The point estimates differed somewhat in terms of size of effect, but the relative importance of childhood and adulthood SEP were to a large extent similar to that of men for most causes. In women there was an effect of childhood SEP for lung cancer, cervical cancer, coronary heart disease, COPD, suicide, and all causes. For suicide there was a protective effect of disadvantage in childhood. Stomach cancer had smaller and insignificant effect sizes in women although the relative importance was similar to men. Cervical cancer was related to disadvantage in both childhood and adulthood. There were similar patterns and effect sizes in men and women for psychiatric causes; those being disadvantaged in childhood had increased mortality risk compared with the advantaged, while the disadvantaged in adulthood had a 10‐ to 20‐fold increased mortality risk. Coronary heart disease had similar associations with childhood and adulthood social circumstances, but the effect estimate was somewhat greater in women at both time points. The pattern was similar in men and women for COPD, with a greater effect of adulthood social position. For suicide in women, a disadvantaged background was protective, but this effect was reversed for adult social position. In men there was no association with childhood social position, while advantaged social position in adulthood was protective. For other violent causes, disadvantaged adult social position increased the risk in both men and women, while men with a disadvantaged childhood background had an increased risk. When both sexes were analysed together, an effect of childhood SEP was found for stomach cancer, lung cancer, psychiatric causes, alcohol related causes, coronary heart disease, haemorrhagic stroke, COPD, “other violent causes”, and all causes of death. There were no significant sex differences in the effect of childhood SEP except for suicide, violent causes, and all causes of death.

In table 33,, childhood and adulthood SEP were mutually adjusted. The relative importance of childhood and adulthood SEP remained similar for some causes of death. However, for psychiatric causes the childhood effect was explained by adult SEP, and was not significant in the adjusted model. This was seen in both men and women. In men, the same was observed for alcohol related deaths and COPD. For adult SEP the effect estimates were similar in the unadjusted and adjusted models except for haemorrhagic stroke in men. For all causes of death, the adjusted effect of childhood fell to 1.23 in men and 1.19 in women, but was still significant. When both sexes were analysed together there were significant effects of childhood for stomach cancer, lung cancer, coronary heart disease, COPD, and all causes of death.

Table thumbnail
Table 3 Age adjusted relative indices of inequality in 1960 and 1990 for cause specific mortality 1990–2001adjusted for the other year's socioeconomic position and interaction in men and women

Discussion

Childhood SEP was related to various causes of death in both men and women. In men we found most support for an effect of childhood SEP on stomach cancer, lung cancer, coronary heart disease, “other violent causes”, and all causes of death. In women similar effects were found for lung cancer, cervical cancer, coronary heart disease, chronic obstructive pulmonary disease, and all causes of death. The pattern for the effect of childhood and adult social position was similar in both sexes for most causes except for suicide, where women appeared to experience a protective effect of disadvantage in childhood.

This large study covers the whole Norwegian population and follows up deaths in late adulthood. It adds comparative data on women, which are to a large extent lacking in earlier studies. It also provides a much more detailed account of particular causes of death than previous studies. Data on childhood and adulthood SEP were taken from registries and collected independently from the outcome measure and should thus not be prone to recall bias favouring one time point.

The low correlation between parental occupational class and adulthood household income is probably a reflection of a high degree of income mobility in Norway in the late 20th century among people from working class backgrounds, and that low income is related to social changes in adulthood such as marital status and participation in the labour market.14 Occupational class was not available in the1990 census, and we would expect a larger correlation had occupation been used at both time points. We hold that both measures reflect key dimensions of social stratification that were relevant in Norway in the period studied. During the 1980s income inequality increased in Norway. As household income may fluctuate through the life course, we think it is a valid indicator of SEP at the stage of the life course when it is measured.15 Education is related to early life exposures, particularly in adolescence and early adulthood.16 For this reason we chose not to use education as an indicator of adult socioeconomic position.

Farmers were deliberately excluded from the analysis because their appropriate position in any socioeconomic hierarchy is less clear. We checked whether including them between manual and non‐manual social class gave different results. This changed the effect estimates slightly for some causes, but the relative importance of childhood and adulthood social position measures and the concordance between men and women did not change. Household income was recorded in 1990 at the time when follow up of deaths started. This could result in reverse causality, as sick people would have a lower income.17 We investigated whether there was any change in effect when changing the year of starting the follow up of deaths to 1992 or 1994 rather than 1990. This produced similar estimates. Furthermore, there would be more deaths at the end of the follow up period, at a time when participants were older, and any effect of reverse causality would play a greater role for deaths in the beginning of this period when there were fewer deaths. Thus we do not think reverse causality has seriously biased the results.

The relative contribution of childhood and adulthood socioeconomic circumstances to the risk of various outcomes of death may to some extent be historically contingent and reflect biological, behavioural, and development processing operating over the life course of individuals born in the 1940s and 1950s.18 The cause‐specific pattern was strikingly similar between men and women, with a statistically significant interaction value for suicide, other violent causes, and all causes only. In a recent study of childhood socioeconomic status, women born in highly educated families had increased risk compared with men, independent of adulthood.19 The investigators suggest several explanations, all of which may have a different social pattern determined by sex: downward mobility, not meeting high demands set by highly educated parents, psychological distress, and mental disorders.

What this paper adds

  • Various studies have looked at the impact of childhood and adulthood socioeconomic position and adult health, but the evidence across causes of death and sex is limited.
  • This study provides extended evidence on a number of causes of death not previously studied.
  • The cause‐specific pattern is similar in both sexes for most causes of death.

Important risk factors such as smoking differ in their social patterning between countries and time periods. Smoking related causes such as lung cancer and COPD had similar effects of childhood and adulthood in both sexes. In recent decades smoking prevalence has declined but less so among socially disadvantaged people.20 This decline took place earlier in men than in women in Norway. Results from our study indicate that even if these declines have taken place, the relative importance of childhood and adulthood and the social patterning appear similar between the sexes.

Policy implications

  • Policies addressing health inequalities for specific outcomes should consider the relative impact of social inequalities in childhood and adulthood.
  • In order to fully acknowledge the impact that social inequalities may have on health throughout life epidemiological studies need to consider the cause‐specific pattern.

The results of our study are to a large extent in accordance with the other studies that have addressed this issue. For all causes of death, increased risk of childhood disadvantage has been found in most other studies.1 In the Collaborative Study, men whose fathers had manual occupations or those who had more siblings had a higher mortality from stomach cancer.21,22 Effects of childhood conditions have also been found for lung cancer21,22,23 and respiratory disease, but there has been no consistent evidence for prostate cancer or malignant melanoma. In the Oslo Mortality Study a strong effect of childhood conditions was found for psychiatric causes, and for alcohol related causes effects have mostly been found in northern Europe.3,23 In a recent cohort study in Norway of deaths in early adulthood of cohorts born between 1955 and 1970, an independent effect of childhood SEP was found for cardiovascular causes.24 For coronary heart disease, childhood circumstances have been implicated in most studies. There is limited evidence on cervical cancer, ovarian cancer, pancreatic cancer, aortic aneurysm, asthma, or diabetes.

The major discrepancy between this study and previous work1 is with respect to haemorrhagic stroke, where earlier studies have found a marked influence of childhood SEP or other indicators of childhood influences, such as the number of siblings.21 We also analysed haemorrhagic stroke without subarachnoid haemorrhage. When both childhood and adulthood were included in the model, the estimate for childhood was 1.38 (0.74 to 2.58) in men and 0.69 (0.30 to 1.55) in women. Recently evidence has emerged that severe diarrhoea and dehydration in childhood may result in higher blood pressure in later life.25,26 It is hypothesised that the ability to respond to an acute episode of severe diarrhoea or dehydration in infancy by retaining sodium would have short term survival advantages when challenged by a repeat attack of the condition, but in the long term could lead to raised blood pressure. The current cohort was born at a time when infant mortality had already declined markedly, when it may not have experienced a high prevalence of the socially patterned experience of severe diarrhoea and dehydration, and thus childhood influences on haemorrhagic stroke may be less marked. Furthermore, at the relatively young age at death of this cohort many of the haemorrhagic strokes would be subarachnoid haemorrhages, which have a different aetiology from intracerebral haemorrhages occurring in later life.

In this large study of the relative importance of childhood and adulthood SEP across a broad array of causes, findings from earlier studies on the cause‐specific pattern are largely confirmed and seem to apply to both men and women. With some notable exceptions, such as suicide and other violent causes—where the social patterning may differ according to sex—it appears that the cause‐specific pattern seems to be similar, although the effect estimates varied somewhat.

Abbreviations

RII - relative index of inequality

SEP - socioeconomic position

References

1. Galobardes B, Lynch J W, Davey Smith G. Childhood socioeconomic circumstances and cause‐specific mortality in adulthood: systematic review and interpretation. Epidemiol Rev 2004. 267–21.21 [PubMed]
2. Beebe‐Dimmer J, Lynch J W, Turrell G. et al Childhood and adult socioeconomic conditions and 31‐year mortality risk in women. Am J Epidemiol 2004. 159481–490.490 [PubMed]
3. Claussen B, Davey Smith G, Thelle D. Impact of childhood and adulthood socioeconomic position on cause specific mortality: the Oslo Mortality Study. J Epidemiol Community Health 2003. 5740–45.45 [PMC free article] [PubMed]
4. Gliksman M D, Kawachi I, Hunter D. et al Childhood socioeconomic status and risk of cardiovascular disease in middle‐aged US women: a prospective study. J Epidemiol Community Health 1995. 4910–15.15 [PMC free article] [PubMed]
5. Heslop P, Davey Smith G, Macleod J. et al The socioeconomic position of employed women, risk factors and mortality. Soc Sci Med 2001. 53477–485.485 [PubMed]
6. Kuh D, Hardy R, Langenberg C. et al Mortality in adults aged 26–54 years related to socioeconomic conditions in childhood and adulthood: post war birth cohort study. BMJ 2002. 3251076–1080.1080 [PMC free article] [PubMed]
7. Pensola T H, Martikainen P. Effect of living conditions in the parental home and youth paths on the social class differences in mortality among women. Scand J Public Health 2003. 31428–438.438 [PubMed]
8. Wamala S P, Lynch J, Kaplan G A. Women's exposure to early and later life socioeconomic disadvantage and coronary heart disease risk: the Stockholm Female Coronary Risk Study. Int J Epidemiol 2001. 30275–284.284 [PubMed]
9. Power C, Hypponen E, Davey Smith G. Socioeconomic position in childhood and early adult life and risk of mortality: A prospective study of the mothers of the 1958 British Birth Cohort. Am J Public Health 2005. 951396–1402.1402 [PubMed]
10. Koskinen S, Martelin T. Why are socioeconomic mortality differences smaller among women than among men. Soc Sci Med 1994. 381385–1396.1396 [PubMed]
11. Mackenbach J P, Kunst A E, Groenhof F. et al Socioeconomic inequalities in mortality among women and among men: an international study. Am J Public Health 1999. 891800–1806.1806 [PubMed]
12. Population and Housing Census 1990. Documentation and main figures. Official Statistics of Norway. Oslo: Statistics Norway, 1999
13. Mackenbach J P, Kunst A E. Measuring the magnitude of socio‐economic inequalities in health: an overview of available measures illustrated with two examples from Europe. Soc Sci Med 1997. 44757–771.771 [PubMed]
14. Epland J. Veier inn og ut av fattigdom: inntektsmobilitet blant lavinntektshushold. Oslo: Statistics Norway, 2005
15. Galobardes B, Shaw M, Lawlor D A. et al Indicators of socioeconomic position (part 1) J Epidemiol Community Health 2006. 607–12.12 [PMC free article] [PubMed]
16. Davey Smith G, Hart C, Hole D. et al Education and occupational social class: which is the more important indicator of mortality risk? J Epidemiol Community Health 1998. 52153–160.160 [PMC free article] [PubMed]
17. Martikainen P, Makela P, Koskinen S. et al Income differences in mortality: a register‐based follow‐up study of three million men and women. Int J Epidemiol 2001. 301397–1405.1405 [PubMed]
18. Lynch J, Davey Smith G. A life course approach to chronic disease epidemiology. Annu Rev Public Health 2005. 261–35.35 [PubMed]
19. Strand B H, Kunst A. Childhood socioeconomic status and suicide mortality in early adulthood among Norwegian men and women. A prospective study of Norwegians born between 1955 and 1965 followed for suicide from 1990 to 2001. Soc Sci Med 2006. 632825–2834.2834 [PubMed]
20. Lund K E, Roenneberg A, Hafstad A. The social and demographic diffusion of the tobacco epidemic in Norway. In: Slama K, ed. Tobacco and health. New York: Plenum Press, 1995
21. Hart C L, Davey Smith G. Relation between number of siblings and adult mortality and stroke risk: 25 year follow up of men in the Collaborative Study. J Epidemiol Community Health 2003. 57385–391.391 [PMC free article] [PubMed]
22. Davey Smith G, Hart C, Blane D. et al Adverse socioeconomic conditions in childhood and cause specific adult mortality: prospective observational study. BMJ 1998. 3161631–1635.1635 [PMC free article] [PubMed]
23. Naess O, Claussen B, Davey Smith G. Relative impact of childhood and adulthood socioeconomic conditions on cause specific mortality in men. J Epidemiol Community Health 2004. 58597–598.598 [PMC free article] [PubMed]
24. Strand B H, Kunst A. Childhood socioeconomic position and cause‐specific mortality in early adulthood. Am J Epidemiol 2007. 16585–93.93 [PubMed]
25. Davey Smith G, Leary S, Ness A. Could dehydration in infancy lead to high blood pressure? J Epidemiol Community Health 2006. 60142–143.143 [PMC free article] [PubMed]
26. Lawlor D A, Davey Smith G, Mitchell R. et al Adult blood pressure and climate conditions in infancy: a test of the hypothesis that dehydration in infancy is associated with higher adult blood pressure. Am J Epidemiol 2006. 163608–614.614 [PubMed]

Articles from Journal of Epidemiology and Community Health are provided here courtesy of BMJ Publishing Group