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J R Soc Med 2003;96:384-388
doi:10.1258/jrsm.96.8.384
© 2003 Royal Society of Medicine

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J R Soc Med 2003;96:384-388
© 2003 The Royal Society of Medicine

Association between course of study at university and cause-specific mortality

Peter McCarron PhD MFPHM   Mona Okasha PhD  1 James McEwen FFPHM FRCP  2   George Davey Smith MD FFPHM  1

Department of Epidemiology and Public Health, Queen's University Belfast
1 Department of Social Medicine, University of Bristol
2 Department of Public Health, University of Glasgow, UK

Correspondence to: Dr Peter McCarron, Unit of Descriptive Epidemiology, International Agency for Research on Cancer, 150 Cours Albert-Thomas, 69372 Lyon Cedex 08, France E-mail: peter.mccarron{at}qub.ac.uk


    SUMMARY
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Although socioeconomic position is clearly related to mortality and one measure of this is length of education, it is not known whether the choice of course at university determines future health. We therefore investigated the association between faculty of study and all-cause and cause-specific mortality in a prospective follow-up of male students who underwent health examinations while attending Glasgow University from 1948 to 1968.

Among the 9887 (84%) alumni traced by means of the NHS Central Register, 8367 (85%) had full data on important potential confounding variables; 939 of these men had died. Physiological variables differed little between students from the various faculties. Medical students were most likely to come from affluent social backgrounds and, after law students, were most likely to be smokers. Compared with former medical students, former arts and law students had excess all-cause and cardiovascular disease mortality, while science and engineering alumni had similar risks. Former medical students had lower lung cancer mortality than other alumni but higher mortality from alcohol-related causes including accidents, suicide and violence.

The lower mortality risks observed among former medical and engineering students may be due to their better employment prospects and healthier lifestyle behaviours, although the high mortality from alcohol-related causes among former medical students underscores the complexity of choice of health behaviour. The findings point to the potential for disease prevention among the large proportion of the population who now have third-level education.


    INTRODUCTION
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The inverse association between adult socioeconomic position and mortality is well established1-4 and is reflected in measures including length of education.5,6 For example, members of the medical profession have lower overall mortality than that in the general population,7 despite higher rates of death from suicide and accidents. There has been little work, however, on whether the chosen course of study at university might influence later mortality. Using data collected on former Glasgow University students we have demonstrated important associations between several factors measured at the beginning of adulthood and later health.8-12 Availability of data on faculty of study allowed us to test the hypothesis that mortality is lower among former medical students than in students who pursued other degrees.


    METHODS
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Full details of the study methods are reported elsewhere.13 Briefly, students attending Glasgow University between 1948 and 1968 were invited to participate in a medical examination conducted by the student health department. Information collected included blood pressure, height and weight, sociodemographic data and details of health behaviours. Faculty of study was recorded as arts, divinity, and law (including chartered accountancy), and science, engineering, and medicine (including dentistry and veterinary science). Scottish universities traditionally admit students to faculties rather than specific courses and it was not possible to further distinguish students in the law and medical faculties. Participants were traced through the NHS Central Register, which provides details of date and cause of death. Deaths up to 30 June 2000 were eligible for inclusion.

Statistical analysis
For each faculty the age-adjusted means of height (cm), body mass index (kg/m2), and systolic blood pressure (mmHg), and the proportions of students who were non-smokers, did not consume alcohol, and whose fathers were from social classes I and II were calculated. Analysis of variance and {chi}2 tests were used to test for heterogeneity across faculty for continuous and categorical variables, respectively. Cox proportional hazard models were used to estimate the hazard ratio associated with being a former medical student, compared with being a student enrolled in a different faculty, for the following causes of death: all-causes; cardiovascular disease (CVD); lung cancer; all other cancers; respiratory disease; suicide, accidents and violence; and alcohol-related causes. Models were adjusted for the following potential confounding variables: father's social class (I to IV/V); body mass index (kg/m2); cigarettes smoked per day (none, 1-10, 11-20, 20+) and also for year of birth quintile to account for possible cohort effects. For all-cause and CVD mortality we adjusted also for systolic blood pressure. Because of the relatively small number of deaths among females, the analyses are restricted to males. All analyses were performed by use of STATA (version 7.0).14


    RESULTS
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11 755 male students—50% of the male student population—participated in the original examinations from 1948 to 1968. Participants were representative of the total male student body in terms of the proportion of males taking part and faculty of study,13 and the high percentage of students from affluent backgrounds is in line with that of men attending university during the period of the surveys.15 The 9887 (84.1%) men who have been traced are closely similar to all participants in terms of father's social class, height and blood pressure. The sample was also representative in terms of faculties: 23.1% medicine (original 23.4%), 23.4% arts (24.0%), 1.5% divinity (0.9%), 16.2% engineering (15.6%), 10.5% law (10.0%) and 26% science (25.4%). After exclusion of those aged over 30 years at examination, those who had left the UK at an undetermined date, and those with missing data on confounding variables, 8367 (84.6%) individuals were available for inclusion in the analyses. Their mean age at the time of examination was 20.5 years (range 16-29 years) and the median follow-up was 41.3 years. Since age-adjusted results were similar for the full cohort and for the 8367 individuals with data on confounding variables only the latter are reported here.

Characteristics of traced students according to faculty are shown in Table 1. Divinity students were older than other students and had the lowest age-adjusted mean systolic blood pressure. There was little difference in mean systolic blood pressure among students from other faculties. Differences in mean height and BMI across all faculties were small, although arts students were on average shorter than other students. Medical students had the highest proportion of fathers in social classes I and II, followed by law students; arts and divinity students had the lowest proportion of fathers in these social classes. Medical students were also most likely to have a father who was a doctor (7.8%), followed by law (1.8%) and science (1.4%) students. Science students were most likely to be non-smokers, with law students and then medical students having the largest proportions of smokers. The question on alcohol consumption was incompletely answered: students of the science and law faculties were the most forthcoming, with 91.2% and 90.0% response rates, while students of the medical faculty were the most reticent (84.9% answering). Of those who did respond, divinity students were least likely to consume alcohol while only one-third of law students said they did not imbibe.


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Table 1. Characteristics of male students in relation to faculty of study

 

There were 939 deaths among former students who had data on confounders (Table 2). Compared with medical faculty alumni, former arts and law students had excess all-cause and cardiovascular mortality, divinity students had excess all-cause mortality, while science and engineering alumni had similar risks. Former arts students had over twice the lung cancer and respiratory disease mortality of medical alumni but half the risk of death from accidents, suicide and violence. There was some evidence that law and science students, also, had greater risk of death from lung cancer than their medical faculty peers. The risk of alcohol-related deaths was higher in former medical students than in alumni from any other faculty. Controlling for potential confounders made little difference to these findings.


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Table 2. Cause-specific mortality (with 95% confidence intervals) by faculty of study

 


    DISCUSSION
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We have shown that course of study at university is associated with mortality risk and that those who studied science subjects had substantially lower risk of mortality from several causes than former arts students. Medical alumni had low all-cause, CVD and lung cancer mortality but were at greater risk of death from alcohol-related causes.

The advantages of this study include its large size, long follow-up and the availability of data on several important confounding variables. However, the small number of female deaths precluded determination of whether choice of course is also relevant to female mortality risk. It is possible that there was some misreporting of smoking and alcohol habits and we have no data on lifetime smoking. However, we have previously shown that, in this cohort, mortality from smoking-related disease was increased for individuals who reported smoking in adolescence and early adult life.16 Although those who took part in the original surveys were broadly representative of the total male student body of the time, they nevertheless represent only 50% of that overall population. This would bias the results only if there were systematic differences in the two groups. This is unlikely in view of the similarity for variables which were available for participants and non-participants, and also the young age at the time of the health examinations, when a negligible number of students would have been expected to have chronic illnesses. The trace rate was high and the very close similarities between traced and untraced men constitute strong evidence that the results we present are generalizable to the whole student community.

There are several possible explanations for the findings. Early life factors, including childhood socioeconomic position, may be important. Individuals with affluent childhood circumstances are known to have lower mortality than those from more deprived backgrounds.17 In the current study students in the medical faculty had the highest proportion of fathers in social classes I and II followed by those in law and engineering, while divinity and arts students were more likely to have experienced socioeconomic deprivation in childhood. To some extent the distribution of height reflects this, with taller students in engineering, medicine, and law, although divinity students were also tall. However, controlling for confounding variables, including father's social class, had little effect on the findings (father's social class is a poor marker of earlylife socioeconomic circumstances).

The possibility that intergenerational factors have a role should also be considered. In a study examining the substantial excess of premature deaths among Scottish men with patrilineal Irish descent, this higher mortality could not be explained by established risk factors, and it was suggested that intergenerational transmission of mortality risk may be important.18 In the current study we could find no evidence of intergenerational effects of a medical career, since men whose fathers were doctors did not have lower mortality than those whose fathers had other occupations (data not shown).

Lower mortality from all causes and from CVD among students of science—and more specifically among medical and engineering students—may also reflect the importance of factors such as employment and income, since for medical and engineering graduates full, permanent, and well-paid employment may be more likely than for former arts students. Although it could be hypothesized that former law faculty students should likewise be at low mortality risk as a result of enhanced employment prospects, these graduates are less likely than medical and engineering students to pursue the subject in later life. We have previously shown that socioeconomic position over the lifecourse is associated with cause-specific mortality.19 The findings from the current study suggest that, even among individuals who would have had largely affluent childhood social circumstances and who went to university at a time when the majority of the population left school before 16 years, adult employment has effects on later health additional to those due to early life exposures.

Health behaviours are also likely to be influential. Blaxter, using data from the Health and Lifestyle Survey, argued that harmful behavioural habits such as smoking have a greater impact on health in the non-manual than in the manual social classes.20 However, formal testing of this hypothesis demonstrated that the health impact of smoking is similar across socioeconomic groups.21 It is plausible that the low mortality risk we observed among former medical students could be due to continuation or adoption of positive health behaviours in later life. Although students in the medical faculty smoked more than all other students with the exception of law faculty students, the research by Doll and Peto22 indicates that, among students who smoked, medical students may have been particularly likely to quit and therefore experience the greatest health benefit. If the high prevalence of smoking among law faculty students persisted more after university, this might account for their excess mortality risk compared with medical alumni. The finding that former medical students had the highest mortality from alcohol-related causes illustrates the complexity of health behaviour. We can only speculate as to whether their lower overall mortality is in part a reflection of the positive effects of alcohol.

Further work is needed to improve understanding of the mechanisms for the associations reported here. Nevertheless, with up to 40% of 18-year-olds currently attending higher education,23 and with arts and social science students being the most likely to indulge in cigarette smoking,24 our results suggest that successful strategies to stop this habit would contribute greatly to disease prevention. For the present we can conclude that, during the period of over 40 years after university entrance, doctors are at lower risk of death than their peers—some compensation, perhaps, for the reported unhappiness in their profession.25


    Acknowledgments
 
This work was funded in part by Chest Heart and Stroke (Scotland), Stroke Association, NHS Management Executive, Cardiovascular Disease and Stroke Research and Development Initiative.


    REFERENCES
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 REFERENCES
 

  1. Department of Health and Social Security. Inequalities in Health: Report of a Working Group (the Black Report). London: DHSS, 1980

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  3. Drever F, Whitehead M, eds. Health Inequalities. Decennial Supplement, ONS Series DS No. 15. London: Stationery Office, 1997

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  6. 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 Commun Health1998; 52:153 -60[Abstract]

  7. Drever F. Occupational Health 10, Decennial Supplements, ONS Series DS No. 10. London: HMSO,1995

  8. McCarron P, Okasha M, McEwen J, Davey Smith G. Blood pressure in early life and cardiovascular disease mortality. Arch Intern Med 2002;162:610 -11[Free Full Text]

  9. McCarron P, Okasha M, McEwen J, Davey Smith G. Height in young adulthood and risk of death from cardiorespiratory disease: a prospective study of male former students of Glasgow University, Scotland. Am J Epidemiol 2002;155:683 -7[Abstract/Free Full Text]

  10. Okasha M, McCarron P, McEwen J, Davey Smith G. Height and cancer mortality: results from the Glasgow University study cohort. Publ Health 2000;114:451 -5

  11. Okasha M, McCarron P, McEwen J, Davey Smith G. Body mass index in young adulthood and cancer mortality: a retrospective cohort study. J Epidemiol Commun Health2002; 56:780 -4[Abstract/Free Full Text]

  12. Davey Smith G, McCarron P, Okasha M, McEwen J. Social circumstances in childhood and cardiovascular disease mortality: prospective observational study of Glasgow University students. J Epidemiol Commun Health 2001;55:340 -1[Free Full Text]

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  15. Higher Education (Robbins Report). London: HMSO, 1963

  16. McCarron P, Davey Smith G, Okasha M, McEwen J. Smoking in adolescence and young adulthood and mortality in later life: prospective observational study. J Epidemiol Commun Health2001; 55:334 -5[Free Full Text]

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  18. Abbotts J, Williams R, Davey Smith G. Association of medical, physiological, behavioural and socio-economic factors with elevated mortality in men of Irish heritage in West Scotland. J Publ Health Med 1999;21:46 -54[Abstract/Free Full Text]

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  20. Blaxter M. Health and Lifestyle. London: Tavistock/Routledge, 1990

  21. Marang-van de Mheen PJ, Davey Smith G, Hart CL. The health impact of smoking in manual and non-manual social class men and women: a test of the Blaxter hypothesis. Soc Sci Med1999; 48:1851 -6

  22. Doll R, Peto R, Wheatley K, Gray R, Sutherland I. Mortality in relation to smoking: 40 years' observations on male British doctors. BMJ1994; 309:901 -11[Abstract/Free Full Text]

  23. Office for National Statistics. UK 2003—The Official Yearbook of the United Kingdom of Great Britain and Northern Ireland. London: Stationery Office, 2002

  24. Webb E, Ashton H, Kelly P, Kamali F. Patterns of alcohol consumption, smoking and illicit drug use in British university students: interfaculty comparisons. Drug Alcohol Depend1997; 47:145 -53[Medline]

  25. Smith R. Why are doctors so unhappy? There are probably many causes, some of them deep. BMJ2001; 322:1073 -4[Free Full Text]


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History of the London Clinic