BMJ 1997;314:558 (22 February)

Papers

Low job control and risk of coronary heart disease in whitehall ii (prospective cohort) study

Hans Bosma, senior research fellow,a Michael G Marmot, director, Whitehall II study,a Harry Hemingway, clinical lecturer in epidemiology,a Amanda C Nicholson, clinical lecturer in epidemiology and public health,a Eric Brunner, senior research fellow,a Stephen A Stansfeld, codirector, Whitehall II study a

a International Centre for Health and Society Department of Epidemiology and Public Health University College London Medical School London WC1E 6BT

Correspondence to: Dr H Bosma Faculty of Medicine and Health Sciences Erasmus University Box 1738 3000DR Rotterdam Netherlands


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Objective: To determine the association between adverse psychosocial characteristics at work and risk of coronary heart disease among male and female civil servants.
Design: Prospective cohort study (Whitehall II study). At the baseline examination (1985-8) and twice during follow up a self report questionnaire provided information on psychosocial factors of the work environment and coronary heart disease. Independent assessments of the work environment were obtained from personnel managers at baseline. Mean length of follow up was 5.3 years.
Setting: London based office staff in 20 civil service departments.
Subjects: 10 308 civil servants aged 35-55 were examined–6895 men (67%) and 3413 women (33%).
Main outcome measures: New cases of angina (Rose questionnaire), severe pain across the chest, diagnosed ischaemic heart disease, and any coronary event.
Results: Men and women with low job control, either self reported or independently assessed, had a higher risk of newly reported coronary heart disease during follow up. Job control assessed on two occasions three years apart, although intercorrelated, had cumulative effects on newly reported disease. Subjects with low job control on both occasions had an odds ratio for any subsequent coronary event of 1.93 (95% confidence interval 1.34 to 2.77) compared with subjects with high job control at both occasions. This association could not be explained by employment grade, negative affectivity, or classic coronary risk factors. Job demands and social support at work were not related to the risk of coronary heart disease.
Conclusions: Low control in the work environment is associated with an increased risk of future coronary heart disease among men and women employed in government offices. The cumulative effect of low job control assessed on two occasions indicates that giving employees more variety in tasks and a stronger say in decisions about work may decrease the risk of coronary heart disease.

Key messages

  • Low job control in the work environment contributes to the development of coronary heart disease among British male and female civil servants

  • The risk of heart disease is associated with both objective low job control and perceived low job control.

  • Increase in job control over time decreases the risk of coronary heart disease. This suggests that policies giving people a stronger say in decisions about their work or providing them with more variety in work tasks may contribute to better cardiovascular health


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In the first Whitehall study men in the lower grades of the British civil service had nearly three times the 10 year risk of mortality from coronary heart disease compared with men in the higher grades.1 Less than half of this gradient could be explained by accepted coronary risk factors, and we speculated that psychosocial factors may provide some of the missing predictive power. As we examined differences in employment grade with coronary heart disease, psychosocial work characteristics became a logical subject to study.2

Studies using Karasek's job strain model have shown higher cardiovascular risk in jobs characterised by high demands and low control.3 4 5 An analysis of British occupational mortality suggested that high demands were less important predictors of mortality than low control.2 In the Whitehall II study people in the high grades, who have lower coronary risk, have higher demands than the low grades. Low control therefore seemed to be more promising.6 7

The longitudinal phase of the Whitehall II study allowed us to examine the relation between the psychosocial work environment and newly reported cases of coronary heart disease. In particular, it enabled us to test whether low control is more strongly related to coronary heart disease than is the full job strain model. Furthermore, this study allowed us to examine both men and women5; the possible role of reporting bias (using a measure of negative affectivity)8 9 10 11; and the cumulative effects of adverse work characteristics by using measures of low control assessed on two occasions.12 13 A methodological advance is the use of an independent measure of control. By having an independent assessment as well as a self report of the work environment, the study could address the question of whether job stress is influenced by (subjective) perceptions or by more objective appraisals of the work, or by both.14


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Study population
The Whitehall II study is the sequel to the first Whitehall study, which began in 1967.1 15 The Whitehall II study was set up primarily to investigate the degree and causes of the social gradient in illness rates; to study work characteristics, social support, and additional factors related to the gradient in mortality; and, importantly, to include women. In the study a new cohort of civil servants was established between 1985 and 1988 (phase 1). All male and female civil servants aged between 35 and 55 in 20 London based civil service departments were sent an introductory letter and screening questionnaire and were offered a screening examination for cardiovascular diseases. The response rate was 73%. The true response rate would probably have been higher, however, because about 4% of the civil servants on the lists provided by the civil service had moved before the study and were therefore not eligible for inclusion. In total, 10 308 civil servants were examined–6895 men (67%) and 3413 women (33%).

After the initial participation in phase 1 the participants were approached again in 1989-90 (phase 2: postal questionnaire) and in 1991-3 (phase 3: postal questionnaire and screening examination). The participation rates at these two phases were 79% and 83% respectively; 7372 subjects (72%) participated in all three phases and 9302 subjects (90.2%) participated in either phase 2 or 3. Furthermore, although still eligible for participation, 1286 subjects (12.5%) had left the civil service before phase 3. The length of follow up was 5.3 years on average, with a range of 3.7 to 7.6 years. Full details of the screening examinations are reported elsewhere.7 16

Coronary heart disease
Four indicators of coronary heart disease were analysed: angina, severe pain across the chest, diagnosed ischaemic heart disease, and any coronary event. Angina was measured by the Rose questionnaire and defined as pain located over the sternum or in both the left chest and the left arm that is precipitated by exertion, that causes the person to stop, and that goes away in 10 minutes or less.17 Severe pain across the chest was defined as having ever had a severe pain across the front of the chest lasting half an hour or more. Diagnosed ischaemic heart disease depended on whether the subject reported that a general practitioner or hospital doctor had ever suspected or confirmed myocardial infarction or angina. Subjects could report more than one of these outcomes. Reports of any of these three outcomes were coded as any coronary event. The outcomes were assessed at all three phases.

Work characteristics
Two methods were used to assess the psychosocial work environment: self reports by the civil servants and ratings by personnel managers (independent assessments). The self report items were derived from well known questionnaires for the central components of the job strain model–that is, job demands, job control, and social support (appendix).3 4 18 19 As the results with specific subconstructs, such as skill discretion and social support from colleagues, did not differ from the results with the three main constructs, we focused on the main constructs (job control, job demands, social support). After all items were recoded in the same direction scores for each scale were calculated as the sum of the item scores. Subjects who did not answer one item in a scale were assigned an average score based on the items that they did answer. Self reported work characteristics were available at all three phases. In addition, at phase 1 personnel managers assessed each job in terms of work pace, the importance of not making mistakes, conflicting demands, and the degree of control (appendix). In 18 out of 20 departments 140 well informed personnel managers undertook these ratings. Detailed information was obtained on individual jobs because 5766 different jobs were filled by 8838 subjects.

Statistical analysis
The logistic regression model was used to estimate the strength of the association between the psychosocial work characteristics in thirds at phase 1 and the occurrence of newly reported coronary heart disease at phase 2 or 3. Tests for trends were also performed by modelling the group scores of each work characteristic (1, 2, 3) as one variable. The corresponding odds ratio reflects the increase in the odds of new coronary heart disease per unit increase in this variable. To examine their independent impact on new coronary heart disease, self reported and independently assessed work characteristics were simultaneously controlled. By using both phase 1 and 2 self reported work characteristics as predictive factors, further insight was obtained into their cumulative effects on coronary heart disease reports at phase 3 (phase 1 and 2 were about three years apart). Several multivariate logistic regression models provided further insight into the extent to which adverse work characteristics affected the future reporting of coronary heart disease, independent of employment grade, negative affectivity, and classic coronary risk factors.

Negative affectivity is the disposition to respond negatively to questionnaires and may inflate correlations between self reported work characteristics and self reported disease.8 9 10 11 Negative affectivity was measured with the negative affect subscale of the affect balance scale.20 21

Coronary risk factors included smoking (never smoked, stopped smoking, smoked 1-10, 11-20, or 21 or more cigarettes daily), cholesterol concentration (mmol/l), diastolic blood pressure (mm Hg), drug treatment for high blood pressure, and body mass index (kg/m2). Ordinal variables, such as employment grade, were represented by dummy indicators in the analyses. All logistic regression analyses were adjusted for age and length of follow up. Baseline cases were excluded in all analyses. In the analyses using work characteristics during phases 1 and 2 cases of coronary heart disease at both phase 1 and 2 were excluded.


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Table 1) presents the number of baseline and new cases of all four outcomes. Women reported angina and any coronary event more often than men. Men more often reported that a doctor had confirmed coronary heart disease. Women reported severe chest pain less often than men at phase 1. During follow up they reported severe chest pain more often than men.


 
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Table 1 Numbers (percentages) of baseline and new cases of angina, severe chest pain, diagnosed ischaemic heart disease, and any coronary event among 6895 men and 3413 women

Job demands and social support were not related to any of the outcomes. The odds ratio of any coronary event (trend test) for job demands (low, intermediate, high) was 0.97 (95% confidence interval 0.85 to 1.12) and 1.17 (0.98 to 1.41) for men and women, respectively. The independent assessments of job demands showed similar negative findings. Work support (high, intermediate, low) had the following odds ratios: 1.11 (0.96 to 1.28) and 1.15 (0.95 to 1.38). Furthermore, there was no consistent pattern across the outcomes. Multiplicative interactions between job demands, job control, and social support did not add to the prediction of new coronary heart disease. Therefore, only the results for job control are presented.

Table 2) shows that there were striking grade related differences in job control. The mean self reported job control was 47 and 78 for the lowest and highest employment grade, respectively. Men had higher scores on self reported job control than women. However, within employment grades there were hardly any differences between men and women. Similar findings were found for independently assessed job control.


 
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Table 2 Mean self reported job control by sex and employment grade at phase 1

The odds ratios indicated about 50% higher risks of any new report of coronary heart disease report at phase 2 or 3 for men with low job control compared with men with high job control at phase 1 (table 3)). The odds ratio for women was about 1.70. The odds ratio of low self reported job control and doctor diagnosed ischaemia among women (odds ratio 0.85) was an exception to the general inverse association. This may reflect the small number of newly reported diagnosed ischaemic heart disease among women (n=36). The associations of self reported job control and independently assessed job control with reported coronary heart disease were about equally strong.


 
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Table 3 Odds ratios (95% confidence intervals)* of newly reported coronary heart disease at phase 2 or 3 by self reported and independently assessed job control at phase 1 in men and women

Because the odds ratios for men and women did not differ significantly, further analyses were based on the total sample (sex was controlled for in each model). Self reported job control and independently assessed job control were not highly correlated (Pearson correlation coefficient 0.41). The associations of self reported and independently assessed job control at phase 1 with future reported coronary heart disease seemed to be independent from each other (table 4)). Furthermore, both assessment instruments had similarly strong associations with the outcomes. Simultaneously adjusted, the odds ratios of any new coronary event for subjects with low self reported job control or low independently assessed job control were both 1.40. There was no indication that subjects with discrepancies between self reported and independently assessed job control had any particular excess risk. The presented odds ratios may be underestimated because both measurements probably reflected the same work characteristic.


 
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Table 4 Odds ratios (95% confidence intervals)* of newly reported coronary heart disease at phase 2 or 3 by self reported and independently assessed job control at phase 1 in whole sample (men and women combined), unadjusted (model I) and adjusted for other assessment instrument (model II)

Self reported job control at phase 1 and 2 were independently associated with newly reported coronary heart disease at phase 3 (table 5)). Although the odds ratios were not significant, the findings indicate that job control in phases 1 and 2 had cumulative effects on new coronary heart disease. This implies that subjects with low job control on both occasions had the highest risks of new coronary heart disease, whereas subjects with high job control on both occasions had the lowest risks. Subjects with stable intermediate job control or subjects who changed from low to high job control or vice versa generally had intermediate risks of coronary heart disease.


 
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Table 5 Odds ratios (95% confidence intervals)* of newly reported coronary heart disease at phase 3 by self reported job control at phase 1 and phase 2 (simultaneously controlled) and by average job control at phase 1 and 2 in total sample (men and women combined)

The continuous job control scales at phase 1 and 2 were summed and divided into thirds to reflect the cumulative effects of low job control during phases 1 and 2. Subjects with low job control on average had an odds ratio for any subsequent coronary event of 1.93 (1.34 to 2.77) compared with subjects with high job control on average. This is primarily caused by the high odds ratios for angina. The odds ratios for severe chest pain and diagnosed ischaemic heart disease were smaller (about 1.50).

The odds ratios for average job control slightly decreased after adjustment for employment grade, negative affectivity, and classic coronary risk factors, but they continued to be significant for angina and any coronary event (table 6)). The decrease in the odds ratios for diagnosed ischaemic heart disease when the coronary risk factors were taken into account (odds ratio 1.26) was primarily caused by the higher prevalence of subjects having drug treatment for hypertension in the group reporting low job control. When employment grade at phase 2 was additionally controlled for in the model already controlling for employment grade at phase 1 the odds ratios did not change substantially.


 
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Table 6 Odds ratios (95% confidence intervals)* of newly reported coronary heart disease at phase 3 by average self reported job control at phase 1 and 2{dagger} in total sample (men and women combined) adjusted for age, sex, and length of period between phase 1 and phase 3 (model I), and separately adjusted for employment grade (model II), negative affectivity (model III), and coronary risk factors (model IV)


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The results of the Whitehall II study provide evidence that particular psychosocial factors may account for some of the missing predictive power for coronary heart disease. Excess risks of coronary heart disease were found for male and female British civil servants in jobs characterised by low control. Self reported and independently assessed job control showed roughly similar associations with coronary heart disease. Self reported job control assessed on two occasions had cumulative effects on new coronary heart disease. The association was independent of employment grade, negative affectivity, and conventional coronary risk factors. Although small numbers did not permit extensive analyses of the associations between employment grade, job control, and coronary heart disease, the findings showed that low job control had adverse effects in all employment grades (data not shown). This implies that the association between job control and coronary heart disease was not confounded by employment grade. The relative contribution of work and other factors to the association between grade and coronary heart disease will be investigated in future analyses.

High job demands, low social support, and the interactions between work characteristics (job strain) were not related to the coronary outcomes. The findings correspond to the review by Schnall et al, in which 17 out of 25 studies found significant associations between job control and cardiovascular outcome, whereas associations with job demands were significant in only eight out of 23 studies.5 The importance of job control was further elaborated by several other investigators.22 23 24 Specific characteristics of our sample of white collar workers may have contributed to the negative findings for high job demands and high job strain. High job demands were more common in the higher employment grades, and high job demands and high job control were positively associated, resulting in comparatively few high strain jobs.

The similar associations between job control and coronary heart disease in men and women support the conclusion by Schnall et al that psychosocial work characteristics as yet seem to have no sex specific effects on coronary heart disease.5 However, this should be interpreted cautiously because angina and severe chest pain reported with the Rose questionnaire may be differently related to underlying coronary heart disease in men and women.25 26 Given that people with low job control, angina, severe chest pain, or diagnosed ischaemic heart disease at phase 1 had lower participation rates at phase 2 or 3, the impact of job control on newly reported coronary heart disease is probably somewhat underestimated in the analyses. Controlling for whether people had left the civil service did not affect the results.

Changing job control
It is still unclear how long, with what intensity, and how frequently subjects have to be exposed to stress at work before their health becomes damaged.12 Whether previous exposure to adverse work environments is mitigated when people move to positive work environments is not known. The Whitehall II study provides evidence that the risk profile may change during individual job trajectories. In general, subjects who changed from a work environment characterised by high job control to a work environment with low job control or vice versa had intermediate risks of coronary heart disease. Subjects who had stable work environments with low job control had the highest risks, while subjects with stable high job control tended to have the lowest risk. These findings may point to the usefulness of measuring job stress as a function of intensity, frequency, and possibly duration of adverse work characteristics during the whole occupational career.12

Methodological issues
Given the known variability in reporting of angina,27 which has been replicated in our data set, the use of new reports of angina or severe chest pain as an indicator of incident coronary disease may be problematic. The underlying condition may not have altered but the tendency to report might have changed. A new report of a diagnosed disease is likely to be a better indicator of new disease, although other factors may also influence both recall of diagnosis or access to medical care. Preliminary results show that 87% of the 188 subjects reporting a myocardial infarction at phase 3 had documented coronary heart disease. Furthermore, the classic coronary risk factors were related to all four outcomes, suggesting that the outcomes reflect coronary heart disease and not only reporting bias. Despite the different sensitivity and specificity of the outcomes, job control shows consistent effects. This supports an aetiological hypothesis. The credibility of this hypothesis is further strengthened by the finding in baseline data of the Whitehall II study that fibrinogen concentrations were raised in men and women with independently assessed low job control.28 This finding points to a possible psychophysiological mechanism relating low job control to coronary heart disease. Future analyses will examine the effects of low job control on fatal and non-fatal myocardial infarction.

Information bias is a potential source of bias in our study, because information on both job control and coronary heart disease was obtained from self reports.29 30 31 32 This bias may have caused overestimated odds ratios because a complaining attitude towards work and health (negative affectivity) may have resulted in negative reports about both job control and coronary heart disease. However, because baseline cases were excluded in the longitudinal study and a measure of negative affectivity was controlled for, negative affectivity was unlikely to have biased the results for the participants' reports.8 9 10 11 Furthermore, the association between the independent assessment of job control and newly reported coronary heart disease was of about equal strength. The only partial agreement between self reported and independently assessed job control suggests that these assessment instruments provide partially complementary information on objective job control. However, the possibility that perceived job control was influenced by need for control or indicators of low status control, such as job insecurity, cannot be excluded.33 34

Conclusion
Low control in the work environment is associated with an increased risk of coronary heart disease among men and women employed in government offices. The fact that independently assessed low job control is as important as self reported low job control points to the relevance of objective low job control, not just appraisal or perception of low job control. The cumulative effect of low job control assessed on two occasions implies that giving subjects more variety in tasks and a stronger say in decisions related to work could have benefits for public health. The results add to the body of work linking psychosocial work characteristics to the risk of coronary heart disease.


right arrow   Acknowledgements

We thank all participating civil service departments and their welfare and personnel officers, the Civil Service Occupational Health Service and their directors, Dr Elizabeth McCloy, Dr George Sorrie, Dr Adrian Semmence, and all participating civil servants.

Funding: The work presented in this paper was supported by grants from the Medical Research Council, British Heart Foundation, National Heart Lung and Blood Institute (2 RO1 HL36310), Agency for Health Care Policy Research (5 RO1 HS06516), Health and Safety Executive, the Institute for Work and Health, Toronto, Ontario, and the John D and Catherine T MacArthur Foundation Research Network on Successful Midlife Development. MGM is supported by a MRC research professorship. HB is supported by grants from the EU BIOMED network Socioeconomic variations in cardiovascular disease in Europe: the impact of the work environment (heart at work).

Conflict of interest: None.


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Three characteristics of the work environment–job control, job demands, and social support–were assessed by means of 25 items. Response categories ranged from 1 (often) to 4 (never).

Job control–Nine of the 15 items for job control covered decision authority and six covered skill discretion; these subscales were equally weighted. Cronbach's {alpha}=0.84 (measure of internal consistency). The nine items for decision authority were Do you have a choice in deciding how you do your job? Do you have a choice in deciding what you do at work? Others take decisions concerning my work; I have a good deal of say in decisions about work; I have a say in my own work speed; my working time can be flexible; I can decide when to take a break; I have a say in choosing with whom I work; and I have a great deal of say in planning my work environment. The six items for skill discretion were Do you have to do the same thing over and over again? Does your job provide you with a variety of interesting things? Is your job boring? Do you have the possibility of learning new things through your work? Does your work demand a high level of skill or expertise? Does your job require you to take the initiative?

Job demands–Cronbach's {alpha}=0.67 for job demands, which had four items: Do you have to work very fast? Do you have to work very intensively? Do you have enough time to do everything? Do different groups at work demand things from you that you think are hard to combine?

Social support–Cronbach's {alpha}=0.79 for social support, which had six items: How often do you get help and support from your colleagues? How often are your colleagues willing to listen to your work related problems? How often do you get help and support from your immediate superior? How often is your immediate superior willing to listen to your problems? Do you get sufficient information from line management (your superiors)? Do you get consistent information from line management (your superiors)?


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Response categories for independent assessments of the work environment ranged from 1 (often) to 12 (never). There were four items: How often does the job involve working very fast? How often is it extremely important to do the work without mistakes? How often do different groups at work demand things which are difficult to combine? How often does the job permit complete discretion and independence in determining how, and when, the work is to be done?


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  1. Marmot MG, Shipley MJ, Rose G. Inequalities in death–specific explanations of a general pattern? Lancet 1984;i:1003-6.
  2. Marmot M, Theorell T. Social class and cardiovascular disease. The contribution of work. Int J Health Services 1988;18:659-74.
  3. Karasek RA. Job demands, job decision latitude, and mental strain: implications for job redesign. Administrative Science Quarterly 1979;24:285-308.
  4. Karasek RA, Theorell T. Healthy work: stress, productivity and the reconstruction of working life. New York: Basic Books, 1990.
  5. Schnall PL, Landsbergis PA, Baker D. Job strain and cardiovascular disease. Ann Rev Public Health 1994;15:381-411.
  6. Johnson JV, Hall EM. Class, work, and health. In: Amick III BC, Levine S, Tarlov AR, Chapman Walsh D, eds. Society and health. New York: Oxford University Press, 1995:247-71.
  7. Marmot MG, Davey Smith G, Stansfeld S, Patel C, North F, Head J, et al. Health inequalities among British civil servants: the Whitehall II study. Lancet 1991;337:1387-93.
  8. Brief AP, Burke MJ, George JM, Robinson BS, Webster J. Should negative affectivity remain an unmeasured variable in the study of job stress? J Appl Psychol 1988;73:193-8. [Medline]
  9. Chen PY, Spector PE. Negative affectivity as the underlying cause of correlations between stressors and strains. J Appl Psychol 1991;76:398-407.
  10. McCrea G. Controlling neuroticism in the measurement of stress. Stress Medicine 1990;6:237-41.
  11. Spector PE. A consideration of the validity and meaning of self-report measures of job conditions. International Review of Industrial and Organizational Psychology 1992;7:123-51.
  12. Johnson JV, Stewart WF. Measuring work organization exposure over the life course with a job-exposure matrix. Scand J Work Environ Health 1993;19:21-8.
  13. House JS, Strecher V, Metzner HL, Robbins CA. Occupational stress and health among men and women in the Tecumseh community health study. Journal of Health and Social Behavior 1986;27:62-77.
  14. Kristensen TS. The demand-control-support model: methodological challenges for future research. Stress Medicine 1995;11:17-26.
  15. Reid DD, Brett GZ, Hamilton PJS, Jarret RJ, Keen H, Rose G. Cardiorespiratory disease and diabetes among middle-aged male civil servants. Lancet 1974;i:469-73.
  16. Beksinska M, Yea L, Brunner E. Whitehall II study. Manual for screening examination 1991-93. London: University College London, Department of Epidemiology and Public Health, 1995.
  17. Rose G, Reid DD, Hamilton PS, McCartney P, Jarrett RJ. Myocardial ischaemia risk factors and death from coronary heart disease. Lancet 1977;i:105-9.
  18. Karasek RA, Baker D, Marxer F, Ahlbom A, Theorell T. Job decision latitude, job demands and cardiovascular disease: a prospective study of Swedish men. Am J Public Health 1981;71:694-705.
  19. Quinn RP, Staines GL. The 1977 quality of employment survey. Ann Arbor, MI: Survey Research Center, Institute for Social Research, University of Michigan, 1979.
  20. Bradburn NM. The structure of psychological wellbeing. Chicago: Aldine, 1969.
  21. Stansfeld S, North FM, White I, Marmot MG. Work characteristics and psychiatric disorder in civil servants in London. J Epidemiol Community Health 1995;49:48-53.
  22. De Jonge J. Job autonomy, well-being, and health [thesis]. Maastricht: University of Maastricht, 1996.
  23. Sauter SL, Hurrell JJ, Cooper CL, eds. Job control and worker health. Chichester: Wiley, 1989.
  24. Steptoe A, Appels A, eds. Stress, personal control and health. Chichester: Wiley, 1989.
  25. Wenger NK. Gender, coronary artery disease, and coronary bypass surgery. Ann Intern Med 1990;112:557-8.
  26. Wilcosky T, Harris R, Weissfeld L. The prevalence and correlates of Rose questionnaire angina among women and men in the lipid research clinics program prevalence study population. Am J Epidemiol 1987;125:400-9.
  27. Rose G. Variability of angina. Some implications for epidemiology. Br J Prev Soc Med 1968;22:12-5.
  28. Brunner E, Davey Smith G, Marmot M, Canner R, Beksinska M, O'Brien J. Childhood social circumstances and psychosocial and behavioural factors as determinants of plasma fibrinogen. Lancet 1996;347:1008-13. [Medline]
  29. Frese M. Stress at work and psychosomatic complaints. A causal interpretation. J Appl Psychol 1985;70:314-28.
  30. Frese M, Zapf D. Methodological issues in the study of work stress: objective vs subjective measurement of work stress and the question of longitudinal studies. In: Cooper CL, Payne R, eds. Causes, coping and consequences of stress at work. Chichester: Wiley, 1990:375-411.
  31. Kasl SV. The challenge of studying the disease effects of stressful work conditions. Am J Public Health 1981;71:682-4.
  32. Kasl SV. Methodologies in stress and health: past difficulties, present dilemma's, future directions. In: Kasl SV, Cooper CL, eds. Stress and health: issues in research methodology. Chichester: Wiley, 1987:307-18.
  33. Siegrist J, Peter R, Junge A, Cremer P, Seidel D. Low status control, high effort at work and ischemic heart disease: prospective evidence from blue-collar men. Soc Sci Med 1990;31:1127-34.
  34. Ferrie JE, Shipley MJ, Marmot MG, Stansfeld S, Davey Smith G. Health effects of anticipation of job change and non-employment: longitudinal data from the Whitehall II study. BMJ 1995;311:1264-9.
(Accepted 24 January 1997)


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  • Holland, P., Burstrom, B., Moller, I., Whitehead, M. (2009). Socioeconomic inequalities in the employment impact of ischaemic heart disease: a longitudinal record linkage study in Sweden. Scand J Public Health 37: 450-458 [Abstract]  
  • Rostad, B., Schei, B., Lund Nilsen, T. I. (2009). Social inequalities in mortality in older women cannot be explained by biological and health behavioural factors -- results from a Norwegian health survey (the HUNT Study). Scand J Public Health 37: 401-408 [Abstract]  
  • Gueorguieva, R., Sindelar, J. L., Falba, T. A., Fletcher, J. M., Keenan, P., Wu, R., Gallo, W. T. (2009). The Impact of Occupation on Self-Rated Health: Cross-Sectional and Longitudinal Evidence from the Health and Retirement Survey. J Gerontol B Psychol Sci Soc Sci 0: gbn006v1-gbn006 [Abstract] [Full text]  
  • Elovainio, M, Ferrie, J E, Singh-Manoux, A, Gimeno, D, De Vogli, R, Shipley, M J, Vahtera, J, Brunner, E J, Marmot, M G, Kivimaki, M (2009). Cumulative exposure to high-strain and active jobs as predictors of cognitive function: the Whitehall II study. Occup. Environ. Med. 66: 32-37 [Abstract] [Full text]  
  • Barbareschi, G., Sanderman, R., Kempen, G. I. J. M., Ranchor, A. V. (2008). The Mediating Role of Perceived Control on the Relationship Between Socioeconomic Status and Functional Changes in Older Patients With Coronary Heart Disease. Journals of Gerontology Series B: Psychological Sciences and Social Science 63: P353-P361 [Abstract] [Full text]  
  • Bambra, C, Whitehead, M, Sowden, A, Akers, J, Petticrew, M (2008). "A hard day's night?" The effects of Compressed Working Week interventions on the health and work-life balance of shift workers: a systematic review. J. Epidemiol. Community Health 62: 764-777 [Abstract] [Full text]  
  • Andersen, I., Rasmussen, N. KR., Ostergren, P.O., Carlsson, F., Grahn, M., Diderichsen, F. (2008). Does job strain mediate the effect of socioeconomic group on smoking behaviour? The impact of different health policies in Denmark and Sweden. Scand J Public Health 36: 598-606 [Abstract]  
  • Bambra, C., Egan, M., Thomas, S., Petticrew, M., Whitehead, M. (2007). The psychosocial and health effects of workplace reorganisation. 2. A systematic review of task restructuring interventions. J. Epidemiol. Community Health 61: 1028-1037 [Abstract] [Full text]  
  • Aboa-Eboule, C., Brisson, C., Maunsell, E., Masse, B., Bourbonnais, R., Vezina, M., Milot, A., Theroux, P., Dagenais, G. R. (2007). Job Strain and Risk of Acute Recurrent Coronary Heart Disease Events. JAMA 298: 1652-1660 [Abstract] [Full text]  
  • Patel, M. S., Chernew, M. E. (2007). The Impact of the Adoption of Gag Laws on Trust in the Patient-Physician Relationship. Journal of Health Politics, Policy and Law 32: 819-842 [Abstract]  
  • Walker, M. J. (2006). The Effects of Nurses' Practicing of the HeartTouch Technique on Perceived Stress, Spiritual Well-Being, and Hardiness. J Holist Nurs 24: 164-175 [Abstract]  
  • Guimont, C., Brisson, C., Dagenais, G. R., Milot, A., Vezina, M., Masse, B., Moisan, J., Laflamme, N., Blanchette, C. (2006). Effects of Job Strain on Blood Pressure: A Prospective Study of Male and Female White-Collar Workers. AJPH 96: 1436-1443 [Abstract] [Full text]  
  • Ferrie, J E, Head, J, Shipley, M J, Vahtera, J, Marmot, M G, Kivimaki, M (2006). Injustice at work and incidence of psychiatric morbidity: the Whitehall II study. Occup. Environ. Med. 63: 443-450 [Abstract] [Full text]  
  • Bilgel, N., Aytac, S., Bayram, N. (2006). Bullying in Turkish white-collar workers. Occup Med (Lond) 56: 226-231 [Abstract] [Full text]  
  • Hemmingsson, T., Lundberg, I. (2006). Is the association between low job control and coronary heart disease confounded by risk factors measured in childhood and adolescence among Swedish males 40-53 years of age?. Int J Epidemiol 35: 616-622 [Abstract] [Full text]  
  • Griffin, M. J., Chen, E. (2006). Perceived Control and Immune and Pulmonary Outcomes in Children With Asthma. Psychosom. Med. 68: 493-499 [Abstract] [Full text]  
  • Daniels, K. (2006). Rethinking job characteristics in work stress research. Human Relations 59: 267-290 [Abstract]  
  • Sekine, M., Chandola, T., Martikainen, P., McGeoghegan, D., Marmot, M., Kagamimori, S. (2006). Explaining social inequalities in health by sleep: the Japanese civil servants study. J Public Health (Oxf) 28: 63-70 [Abstract] [Full text]  
  • Lallukka, T., Martikainen, P., Reunanen, A., Roos, E., Sarlio-Lahteenkorva, S., Lahelma, E. (2006). Associations between working conditions and angina pectoris symptoms among employed women.. Psychosom. Med. 68: 348-354 [Abstract] [Full text]  
  • Nasermoaddeli, A., Sekine, M., Kagamimori, S. (2006). Gender Differences in Associations of C-Reactive Protein With Atherosclerotic Risk Factors and Psychosocial Characteristics in Japanese Civil Servants. Psychosom. Med. 68: 58-63 [Abstract] [Full text]  
  • Wickrama, K. A. S., Lorenz, F. O., Fang, S.-A., Abraham, W. T., Elder, G. H. Jr. (2005). Gendered Trajectories of Work Control and Health Outcomes in the Middle Years: A Perspective from the Rural Midwest. J Aging Health 17: 779-806 [Abstract]  
  • Stewart-Brown, S. L., Fletcher, L., Wadsworth, M. E.J. (2005). Parent-child relationships and health problems in adulthood in three UK national birth cohort studies. Eur J Public Health 15: 640-646 [Abstract] [Full text]  
  • De Vogli, R, Santinello, M (2005). Unemployment and smoking: does psychosocial stress matter?. Tobacco Control 14: 389-395 [Abstract] [Full text]  
  • Gimeno, D, Amick, B C III, Habeck, R V, Ossmann, J, Katz, J N (2005). The role of job strain on return to work after carpal tunnel surgery. Occup. Environ. Med. 62: 778-785 [Abstract] [Full text]  
  • de Smet, P., Sans, S., Dramaix, M., Boulenguez, C., de Backer, G., Ferrario, M., Cesana, G., Houtman, I., Isacsson, S. O., Kittel, F., Ostergren, P. O., Peres, I., Pelfrene, E., Romon, M., Rosengren, A., Wilhelmsen, L., Kornitzer, M. (2005). Gender and regional differences in perceived job stress across Europe. Eur J Public Health 15: 536-545 [Abstract] [Full text]  
  • Hintsanen, M., Kivimaki, M., Elovainio, M., Pulkki-Raback, L., Keskivaara, P., Juonala, M., Raitakari, O. T., Keltikangas-Jarvinen, L. (2005). Job Strain and Early Atherosclerosis: The Cardiovascular Risk in Young Finns Study. Psychosom. Med. 67: 740-747 [Abstract] [Full text]  
  • Szanton, S. L., Gill, J. M., Allen, J. K. (2005). Allostatic Load: A Mechanism of Socioeconomic Health Disparities?. Biol Res Nurs 7: 7-15 [Abstract]  
  • Mutaner, C., Chung, H. J. (2005). Psychosocial epidemiology, social structure, and ideology. J. Epidemiol. Community Health 59: 540-541 [Full text]  
  • Hemingway, H., Shipley, M., Brunner, E., Britton, A., Malik, M., Marmot, M. (2005). Does Autonomic Function Link Social Position to Coronary Risk?: The Whitehall II Study. Circulation 111: 3071-3077 [Abstract] [Full text]  
  • van Loon, A. J. M., Tijhuis, M., Surtees, P. G., Ormel, J. (2005). Determinants of smoking status: cross-sectional data on smoking initiation and cessation. Eur J Public Health 15: 256-261 [Abstract] [Full text]  
  • Ferrie, J., Martikainen, P, Shipley, M., Marmot, M. (2005). Self-reported economic difficulties and coronary events in men: evidence from the Whitehall II study. Int J Epidemiol 34: 640-648 [Abstract] [Full text]  
  • Hemstrom, O. (2005). Does high income buffer the association between adverse working conditions and ill health?. Scand J Public Health 33: 131-137 [Abstract]  
  • De Bacquer, D., Pelfrene, E., Clays, E., Mak, R., Moreau, M., de Smet, P., Kornitzer, M., De Backer, G. (2005). Perceived Job Stress and Incidence of Coronary Events: 3-Year Follow-up of the Belgian Job Stress Project Cohort. Am J Epidemiol 161: 434-441 [Abstract] [Full text]  
  • Blekesaune, M., Solem, P. E. (2005). Working Conditions and Early Retirement: A Prospective Study of Retirement Behavior. Research on Aging 27: 3-30 [Abstract]  
  • Gregory, P., Lester, C., O'Neill, M., Gray, L. (2005). Widening participation for black and ethnic minority women: A pilot educational intervention using action research. Health Education Journal 64: 43-50 [Abstract]  
  • Macleod, J., Davey Smith, G. (2004). RE: "DOES JOB STRAIN INCREASE THE RISK FOR CORONARY HEART DISEASE OR DEATH IN MEN AND WOMEN? THE FRAMINGHAM OFFSPRING STUDY". Am J Epidemiol 160: 1031-1032 [Full text]  
  • Andersen, I, Burr, H, Kristensen, T S, Gamborg, M, Osler, M, Prescott, E, Diderichsen, F (2004). Do factors in the psychosocial work environment mediate the effect of socioeconomic position on the risk of myocardial infarction? Study from the Copenhagen Centre for Prospective Population Studies. Occup. Environ. Med. 61: 886-892 [Abstract] [Full text]  
  • Kumari, M., Head, J., Marmot, M. (2004). Prospective Study of Social and Other Risk Factors for Incidence of Type 2 Diabetes in the Whitehall II Study. Arch Intern Med 164: 1873-1880 [Abstract] [Full text]  
  • Moreau, M, Valente, F, Mak, R, Pelfrene, E, de Smet, P, De Backer, G, Kornitzer, M (2004). Occupational stress and incidence of sick leave in the Belgian workforce: the Belstress study. J. Epidemiol. Community Health 58: 507-516 [Abstract] [Full text]  
  • Eaker, E. D., Sullivan, L. M., Kelly-Hayes, M., D'Agostino, R. B. Sr., Benjamin, E. J. (2004). Does Job Strain Increase the Risk for Coronary Heart Disease or Death in Men and Women?: The Framingham Offspring Study. Am J Epidemiol 159: 950-958 [Abstract] [Full text]  
  • Ferrer, R L, Palmer, R (2004). Variations in health status within and between socioeconomic strata. J. Epidemiol. Community Health 58: 381-387 [Abstract] [Full text]  
  • Steptoe, A., Siegrist, J., Kirschbaum, C., Marmot, M. (2004). Effort--Reward Imbalance, Overcommitment, and Measures of Cortisol and Blood Pressure Over the Working Day. Psychosom. Med. 66: 323-329 [Abstract] [Full text]  
  • Calnan, M., Wadsworth, E., May, M., Smith, A., Wainwright, D. (2004). Job strain, effort - reward imbalance, and stress at work: competing or complementary models?. Scand J Public Health 32: 84-93 [Abstract]  
  • Head, J, Stansfeld, S A, Siegrist, J (2004). The psychosocial work environment and alcohol dependence: a prospective study. Occup. Environ. Med. 61: 219-224 [Abstract] [Full text]  
  • Malinauskiene, V, Theorell, T, Grazuleviciene, R, Malinauskas, R, Azaraviciene, A (2004). Low job control and myocardial infarction risk in the occupational categories of Kaunas men, Lithuania. J. Epidemiol. Community Health 58: 131-135 [Abstract] [Full text]  
  • Noblet, A. (2003). Building health promoting work settings: identifying the relationship between work characteristics and occupational stress in Australia. HEALTH PROMOT INT 18: 351-359 [Abstract] [Full text]  
  • Edwards, N (2003). Doctors and managers: poor relationships may be damaging patients--what can be done?. Qual Saf Health Care 12: i21-24 [Abstract] [Full text]  
  • D'Souza, R M, Strazdins, L, Lim, L L-Y, Broom, D H, Rodgers, B (2003). Work and health in a contemporary society: demands, control, and insecurity. J. Epidemiol. Community Health 57: 849-854 [Abstract] [Full text]  
  • Steptoe, A., Marmot, M. (2003). Burden of Psychosocial Adversity and Vulnerability in Middle Age: Associations With Biobehavioral Risk Factors and Quality of Life. Psychosom. Med. 65: 1029-1037 [Abstract] [Full text]  
  • Stavem, K., Hofoss, D., Aasland, O. G. (2003). Work characteristics and morbidity as predictors of self-perceived health status in Norwegian physicians. Scand J Public Health 31: 375-381 [Abstract]  
  • Singh-Manoux, A, Macleod, J, Davey Smith, G (2003). Psychosocial factors and public health. J. Epidemiol. Community Health 57: 553-556 [Full text]  
  • Macleod, J, Davey Smith, G (2003). Psychosocial factors and public health: a suitable case for treatment?. J. Epidemiol. Community Health 57: 565-570 [Abstract] [Full text]  
  • Clark, M. S, Rubenach, S., Winsor, A. (2003). A randomized controlled trial of an education and counselling intervention for families after stroke. Clin Rehabil 17: 703-712 [Abstract]  
  • van Amelsvoort, L G P M, Kant, I., Bultmann, U, Swaen, G M H (2003). Need for recovery after work and the subsequent risk of cardiovascular disease in a working population. Occup. Environ. Med. 60: i83-87 [Abstract] [Full text]  
  • Steptoe, A., Kunz-Ebrecht, S., Owen, N., Feldman, P. J., Willemsen, G., Kirschbaum, C., Marmot, M. (2003). Socioeconomic Status and Stress-Related Biological Responses Over the Working Day. Psychosom. Med. 65: 461-470 [Abstract] [Full text]  
  • Agardh, E. E., Ahlbom, A., Andersson, T., Efendic, S., Grill, V., Hallqvist, J., Norman, A., Ostenson, C.-G. (2003). Work Stress and Low Sense of Coherence Is Associated With Type 2 Diabetes in Middle-Aged Swedish Women. Diabetes Care 26: 719-724 [Abstract] [Full text]  
  • Kuper, H, Marmot, M (2003). Job strain, job demands, decision latitude, and risk of coronary heart disease within the Whitehall II study. J. Epidemiol. Community Health 57: 147-153 [Abstract] [Full text]  
  • Mein, G, Martikainen, P, Hemingway, H, Stansfeld, S, Marmot, M (2003). Is retirement good or bad for mental and physical health functioning? Whitehall II longitudinal study of civil servants. J. Epidemiol. Community Health 57: 46-49 [Abstract] [Full text]  
  • Chandola, T, Bartley, M, Wiggins, R, Schofield, P (2003). Social inequalities in health by individual and household measures of social position in a cohort of healthy people. J. Epidemiol. Community Health 57: 56-62 [Abstract] [Full text]  
  • Kivimaki, M, Elovainio, M, Vahtera, J, Ferrie, J E, Theorell, T (2003). Organisational justice and health of employees: prospective cohort study * COMMENTARY. Occup. Environ. Med. 60: 27-34 [Abstract] [Full text]  
  • Steptoe, A., Kunz-Ebrecht, S., Owen, N., Feldman, P. J., Rumley, A., Lowe, G. D. O., Marmot, M. (2003). Influence of Socioeconomic Status and Job Control on Plasma Fibrinogen Responses to Acute Mental Stress. Psychosom. Med. 65: 137-144 [Abstract] [Full text]  
  • Kittel, F., Leynen, F., Stam, M., Dramaix, M., de Smet, P., Mak, R., De Backer, G., Kornitzer, M. (2002). Job conditions and fibrinogen in 14226 Belgian workers. The Belstress study. Eur Heart J 23: 1841-1848 [Abstract] [Full text]  
  • Martikainen, P., Bartley, M., Lahelma, E. (2002). Psychosocial determinants of health in social epidemiology. Int J Epidemiol 31: 1091-1093 [Full text]  
  • Stansfeld, S. A (2002). Commentary: The problem with stress: minds, hearts and disease. Int J Epidemiol 31: 1113-1116 [Full text]  
  • Lee, S., Colditz, G., Berkman, L., Kawachi, I. (2002). A prospective study of job strain and coronary heart disease in US women. Int J Epidemiol 31: 1147-1153 [Abstract] [Full text]  
  • Rosvall, M, Ostergren, P-O, Hedblad, B, Isacsson, S-O, Janzon, L, Berglund, G (2002). Work-related psychosocial factors and carotid atherosclerosis. Int J Epidemiol 31: 1169-1178 [Abstract] [Full text]  
  • Krokstad, S., Johnsen, R., Westin, S. (2002). Social determinants of disability pension: a 10-year follow-up of 62 000 people in a Norwegian county population. Int J Epidemiol 31: 1183-1191 [Abstract] [Full text]  
  • Hotopf, M., Rosch, P. J, Hart, C. (2002). Psychological stress and cardiovascular disease. BMJ 325: 337-337 [Full text]  
  • Macleod, J., Davey Smith, G., Heslop, P., Metcalfe, C., Carroll, D., Hart, C., Lynch, J. (2002). Psychological stress and cardiovascular disease: empirical demonstration of bias in a prospective observational study of Scottish men * Commentary: Psychosocial factors and health---strengthening the evidence base. BMJ 324: 1247-1247 [Abstract] [Full text]  
  • Amick, B. C. III, McDonough, P., Chang, H., Rogers, W. H., Pieper, C. F., Duncan, G. (2002). Relationship Between All-Cause Mortality and Cumulative Working Life Course Psychosocial and Physical Exposures in the United States Labor Market From 1968 to 1992. Psychosom. Med. 64: 370-381 [Abstract] [Full text]  
  • Edwards, N., Kornacki, M. J., Silversin, J. (2002). Unhappy doctors: what are the causes and what can be done?. BMJ 324: 835-838 [Full text]  
  • Roeters van Lennep, J. E, Westerveld, H.T., Erkelens, D.W., van der Wall, E. E (2002). Risk factors for coronary heart disease: implications of gender. Cardiovasc Res 53: 538-549 [Abstract] [Full text]  
  • Stansfeld, S. A, Fuhrer, R., Shipley, M. J, Marmot, M. G (2002). Psychological distress as a risk factor for coronary heart disease in the Whitehall II Study. Int J Epidemiol 31: 248-255 [Abstract] [Full text]  
  • Macleod, J, Davey Smith, G, Heslop, P, Metcalfe, C, Carroll, D, Hart, C (2002). Limitations of adjustment for reporting tendency in observational studies of stress and self reported coronary heart disease. J. Epidemiol. Community Health 56: 76-77 [Full text]  
  • Elovainio, M., Kivimaki, M., Vahtera, J. (2002). Organizational Justice: Evidence of a New Psychosocial Predictor of Health. AJPH 92: 105-108 [Abstract] [Full text]  
  • Macleod, J, Davey Smith, G, Heslop, P, Metcalfe, C, Carroll, D, Hart, C (2001). Are the effects of psychosocial exposures attributable to confounding? Evidence from a prospective observational study on psychological stress and mortality. J. Epidemiol. Community Health 55: 878-884 [Abstract] [Full text]  
  • Holmes, S. (2001). Work-related stress: a brief review. The Journal of the Royal Society for the Promotion of Health 121: 230-235 [Abstract]  
  • Pikhart, H, Bobak, M, Siegrist, J, Pajak, A, Rywik, S, Kyshegyi, J, Gostautas, A, Skodova, Z, Marmot, M (2001). Psychosocial work characteristics and self rated health in four post-communist countries. J. Epidemiol. Community Health 55: 624-630 [Abstract] [Full text]  
  • Theorell, T., Emdad, R., Arnetz, B., Weingarten, A.-M. (2001). Employee Effects of an Educational Program for Managers at an Insurance Company. Psychosom. Med. 63: 724-733 [Abstract] [Full text]  
  • Marmot, M., Wilkinson, R. G (2001). Psychosocial and material pathways in the relation between income and health: a response to Lynch et al. BMJ 322: 1233-1236 [Full text]  
  • Marmot, M, Shipley, M, Brunner, E, Hemingway, H (2001). Relative contribution of early life and adult socioeconomic factors to adult morbidity in the Whitehall II study. J. Epidemiol. Community Health 55: 301-307 [Abstract] [Full text]  
  • Lilford, R J, Howie, F., Scott, I., Warren, R. (2001). Medical practice: where next?. JRSM 94: 559-562 [Full text]  
  • Morris, J N, Donkin, A J M, Wonderling, D, Wilkinson, P, Dowler, E A (2000). A minimum income for healthy living. J. Epidemiol. Community Health 54: 885-889 [Abstract] [Full text]  
  • Kawakami, N, Akachi, K, Shimizu, H, Haratani, T, Kobayashi, F, Ishizaki, M, Hayashi, T, Fujita, O, Aizawa, Y, Miyazaki, S, Hiro, H, Hashimoto, S, Araki, S (2000). Job strain, social support in the workplace, and haemoglobin A1c in Japanese men. Occup. Environ. Med. 57: 805-809 [Abstract] [Full text]  
  • Ghiadoni, L., Donald, A. E., Cropley, M., Mullen, M. J., Oakley, G., Taylor, M., O'Connor, G., Betteridge, J., Klein, N., Steptoe, A., Deanfield, J. E. (2000). Mental Stress Induces Transient Endothelial Dysfunction in Humans. Circulation 102: 2473-2478 [Abstract] [Full text]  
  • Marmot, M., Bobak, M. (2000). International comparators and poverty and health in Europe. BMJ 321: 1124-1128 [Full text]  
  • Kivimäki, M., Elovainio, M., Vahtera, J. (2000). Workplace bullying and sickness absence in hospital staff. Occup. Environ. Med. 57: 656-660 [Abstract] [Full text]  
  • van Loon, A J. M, Tijhuis, M., Surtees, P. G, Ormel, J. (2000). Lifestyle risk factors for cancer: the relationship with psychosocial work environment. Int J Epidemiol 29: 785-792 [Abstract] [Full text]  
  • Evans, J., Hyndman, S., Stewart-Brown, S., Smith, D., Petersen, S. (2000). An epidemiological study of the relative importance of damp housing in relation to adult health. J. Epidemiol. Community Health 54: 677-686 [Abstract] [Full text]  
  • Li, C.-Y., Wu, S. C., Wen, S. W. (2000). Longest held occupation in a lifetime and risk of disability in activities of daily living. Occup. Environ. Med. 57: 550-554 [Abstract] [Full text]  
  • Vahtera, J., Kivimäki, M., Pentti, J., Theorell, T. (2000). Effect of change in the psychosocial work environment on sickness absence: a seven year follow up of initially healthy employees. J. Epidemiol. Community Health 54: 484-493 [Abstract] [Full text]  
  • Cheng, Y., Kawachi, I., Coakley, E. H, Schwartz, J., Colditz, G. (2000). Association between psychosocial work characteristics and health functioning in American women: prospective study. BMJ 320: 1432-1436 [Abstract] [Full text]  



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