Journal of the American Society of Hypertension
Volume 6, Issue 1 , Pages 2-22, January 2012

Occupational stress and hypertension

  • Talma Rosenthal, MD

      Affiliations

    • Corresponding Author InformationCorresponding author: Talma Rosenthal, MD, Tel Aviv University, Department of Physiology and Pharmacology, Hypertension Research Unit, Sackler School of Medicine, Tel Aviv, Israel.
  • ,
  • Ariela Alter, PhD

Department of Physiology and Pharmacology, Hypertension Research Unit, Sackler School of Medicine, Tel Aviv University, Israel

Received 27 January 2011; accepted 6 September 2011. published online 24 October 2011.

Article Outline

Abstract 

Occupational stress, or job strain, resulting from a lack of balance between job demands and job control, is considered one of the frequent factors in the etiology of hypertension in modern society. Stress, with its multifactorial causes, is complex and difficult to analyze at the physiological and psychosocial levels. The possible relation between job strain and blood pressure levels has been extensively studied, but the literature is replete with conflicting results regarding the relationship between the two. Further analysis of this relationship, including the many facets of job strain, may lead to operative proposals at the individual and public health levels designed to reduce the effects on health and well-being. In this article, we review the literature on the subject, discussing the various methodologies, confounding variables, and suggested approaches for a healthier work environment.

Keywords: Blood pressure, hypertension, job strain, occupational stress

 

Back to Article Outline

Introduction 

Cardiovascular disease (CVD), and hypertension as one of its major components, is a major cause of morbidity and mortality in modern society. The physiological parameters of these diseases have been extensively studied and reported, as have some of the psychosociological factors that interact with them. Among the many causative factors, mental stress or strain is believed to be a prime culprit. The mental, emotional, and social demands engendering anxiety and stress in the modern world are constantly increasing, and numerous efforts have been made to analyze them in an attempt to minimize their effect. Some of the most common environmental stressors are found in the work situation.1, 2, 3, 4

Occupational strain or stress is considered, in one of the models, to result from a combination of high demands with low decision latitude in the workplace, and there is vast evidence linking it with blood pressure (BP) elevation and CVD. The demands of the workplace comprise both job- and human-related variables. Job-related variables include work schedules (shift work or irregular hours, rotating schedules), time pressures, machine-paced work, repetitive-routine or monotonous activities; physical conditions such as heat, noise, lighting, sedentary or active tasks; contact with the public; solitary or interactive tasks; and controllable or uncontrollable tasks. They also involve hierarchical status, involving different degrees of responsibility, decision authority and latitude, and prestige. Stress may also stem from problematic relationships with co-workers or superiors, such as conflicts or unfair treatment, ambiguous or contradictory work demands, and role overload or understimulation although support from colleagues or supervisors may alleviate their effects on stress.

Human variables that impact on stress are job satisfaction, the organization of the work, and whether the job offers security and flexibility, recognition and reward, and possibilities for advancement. Personal variables, such as self-perceived capabilities, self-confidence, and the ability to cope with stressful situations, also come into play. Indeed, it has been suggested that the perception that one’s job is stressful2 or the perception of control over events1 may be powerful predictors of elevated BP.

A number of intermediate variables whose effect can probably not be isolated from that of occupational stress add to the complexity of the problem: “direct mechanisms” (through physiological variables) and “indirect mechanisms” (through behavioral risk factors).5 The extent of BP variation in daily life may also be influenced by cognitive processes dependent on cultural background and emotional state.6 Some of these are unchanging and individual, such as gender, race, or ethnic group; indeed, there is evidence that these are key variables that lead people into jobs with more or less occupational stress in the first place. Other cognitive processes are of a social or psychological character and will or may change over time: age, job status, marital status and harmony,7, 8 coping mechanisms, anger expression and control, personality, lifestyle, socioeconomic factors, education, and social support.3, 9, 10

Some or all of these variables have been extensively studied and discussed in the literature relating job strain to CVDs, hypertension in particular. Still other studies provided little or no evidence of the direct relationship between job strain and BP levels.11, 12, 13, 14

The methods for studying this relationship are almost as numerous as the variables themselves, and introduce additional complexity to the nature and magnitude of the problem. These include the different ways BP can be measured (ambulatory, one-off or followed up, episodic or regular, during working hours, or 24-hour), and its relationship to the activity of the sympathetic nervous system. Job characteristics are typically assessed once only, which may result in misclassification. Conversely, attempts to assess job characteristics over a working life are hampered by methodological problems associated with survey length and content, and retirement from the workplace.15

Other methodological factors that may confuse the issue are use of different questionnaires (complexity, content and length, applied or self-administered), different scales for measuring job strain, cross-country comparisons, cross-occupational differences, and choice of study population (for example, borderline hypertensives, or known hypertensives vs. normal/high risk).

Attempts at “objective assessment” have spawned countless studies, some of which are listed in Table 1. These studies have yielded conflicting conclusions, inconsistencies related to differences in study design (case control, prospective), composition of the study population (single gender or mixed, ethnic grouping), the instruments for measuring job stress (job-related or individual-oriented), and/or outcome measures.16, 17, 18, 19 Some reviewers have suggested that because the stressful aspects of work assessed by the different questionnaires are not identical, theoretical models could be combined when planning organizational or public interventions to reduce job strain.4, 17

Table 1. Blood pressure and job strain studies
ReferencePopulationDesign and MethodsMain Findings
Alfredsson et al, 20026810,382 employed persons between ages 15 and 64, Sweden.Medical examination.
BP sphygmomanometer and questionnaire.
The women, but not the men, suffering from job strain showed increased prevalence of hypertension when compared with subjects with relaxed psychosocial work characteristics. Increased risk of coronary heart disease in association with job strain, if causal, is mediated by factors, possibly partly by hypertension and low levels of HDL.
Brodsky, 19775731 teachers and 21 prison guards who complained of occupational pressure.One case report + psychological review. Psychiatric evaluation.The pressure-prone job is one in which the goals or objectives are contradictory, lines of support are ill defined, and there is role ambiguity, with no hope for improvement. A triggering event makes the worker aware of his vulnerability and at the same time feel isolated.
Internal and external forces make it impossible for the worker to resign. Physical and psychological symptoms appear and progress in severity.
Carroll, 1995661003 male civil servants ages 35–55 years. 20 civil service departments in London. (Subset of the Whitehall II study).Longitudinal BP, pressor reactions to a psychological stress task. Follow-up measurement of BP: on average, 4.9 years later.Reactions of SBP to stress correlated positively with SBP at follow-up, depending on baseline figures.
Reactions to the stressor provided minimal prediction of follow-up BP. Measurement of reactivity is not a useful clinical index of the course of future BP.
Chapman et al, 199060The analysis was conducted as part of a larger 5-year study among Australian government employees working in Sydney (2100 men and 534 women): administrators, professionals, technicians, clerks, skilled tradesmen, blue collar workers, tax investigators, and tax assessors.Prospective. Questionnaire, BP sphygmomanometer, a principal component analysis produced six components: qualitative demands, quantitative demands, job control, future control, work support, and outside stress.The observed interactions between job demands and control provided support for the Karasek job-strain model.
Cottincton et al, 19869Random sample of male hourly workers, ages 40–63 years, employed at one of two plants in the metropolitan
Pittsburgh, PA, area. Those currently taking antihypertensive medication were excluded. Of the 366 men who participated in the first session, 288 also completed the psychosocial questionnaire—146 men from the noisy plant and 142 men from the less noisy plant.
Controlled study. A psychosocial questionnaire measuring job stress, coronary-prone behavior, trait anxiety, anger, life stress, and specific coping behaviors associated with occupational noise exposure. Resting BP and reaction of BP to acute stressor test.Hypertension was more strongly associated with uncertain job future and dissatisfaction with coworkers and promotions among men who suppress their anger. These interactions significantly predicted hypertension status.
A coping-related characteristic such as anger expression may be an important modifier of the relationship between job stress and hypertension.
Curtis et al, 1997321195 African-American men and women from North Carolina ages 25–50. Study focuses on 280 men and 463 women employed in 1993 who met BP criterion.Prospective cohort. BP at work, hypertension, SBP >160, DBP >95 or taking antihypertension medication. Interview, Karasek questionnaire (number of years at work taken into account, data corrected for age BMI, etc).Job strain was more prevalent among women. The only statistically significant outcome association for men: relationship between decision latitude and hypertension prevalence. Job strain was not found to be a predictive factor for elevated BP.
Deyanov et al, 199463168 female teachers between 25 and 55 years of age from comprehensive and technical schools in Sofia.
A group of 103 female employees (designers, researchers) served as controls.
Case control study. BP sphygmomanometer, questionnaire.An abrupt elevation of mean SBP was observed in teachers >45 years old and a significant difference of SBP between teachers during the first and second half of the fourth decade was found. The elevation of the DBP with age was more pronounced among the teachers than among the controls.
Dryson et al, 1996235467 European, Maori, Pacific Islander, and Asian employees, age 40 years or older, working for 41 companies.A survey questionnaire giving details of total stressors and subcategories of stressors. Relative risks were estimated. Stress questionnaire and BP by nurse.There were significant associations between increased stressors and the following: male gender; young age; administrative group; and a negative association with Pacific Islander ethnicity. These findings indicate areas in a workforce to which stress reduction interventions can be directed.
Ducher et al, 200614926 (age 41–46 years) healthy normotensive or newly diagnosed hypertensive subjects.Two prospective work site surveys. Karasek JCQ. Sitting BP measurements were taken by work site physician during working hours at the work place using Omron digital BPM.The linear model did not detect any relationship between SBP or DBP and job strain modalities. There was no global relationship between job strain and BP levels. However, the methodology revealed a significant association between job strain and work site BP in a predominantly male subgroup of newly diagnosed hypertensive subjects exposed to high job strain.
Eaker et al, 200412Framingham Offspring Study. The cohort women (n = 1328) and men (n = 1711) who responded that they had been employed outside the home most of their adult years (18 years of age or older).Prospective longitudinal. Psychosocial assessment forms. Questionnaire variables: job strain and occupational and job characteristics. Karasek questionnaire. The two outcomes of interest included 10-year total mortality and incident CHD.The findings failed to support the notion that high job strain, as defined by high job demands and low decision latitude, was a significant risk factor for the development of CHD or total mortality over a 10-year period in either men or women.
The job strain scales were significantly and inversely related to SBP.
Goldberg et al, 199658Prison staff in France. Men and women ages 20–64 belonging to all categories of prison personnel (prison guards, administrative staff, socio-educational workers, technicians, health care workers, and managers.A cross-sectional epidemiologic survey. Postal self-administered questionnaire.The factors concerning the subjective evaluation of work conditions and social support were more closely related to mental disorders than work conditions. In addition, seniority was associated with depressive symptoms and anxiety among the men.
Guimont et al, 200665White collar workers ages 18–65 employed by 22 public organizations in Quebec City.Prospective study. A demographic questionnaire, BP at clinic, Karasek’s Job-Strain Model.Exposure to cumulative job strain had a modest but significant effect on SBP among men. Men and women with low levels of social support at work appeared to be at higher risk for increases in BP.
Kang et al, 2005101152 eligible participants were analyzed out of 1071 workers in 20 companies in South Korea, grouped into four categories (high strain group, active group, passive group, and low strain group).Karasek’s Job Strain ModelDecision latitude was associated with cholesterol, triglyceride, and homocysteine and that work demand was related to smoking and systolic blood pressure. Job was significantly related to higher levels of homocysteine. Job stress was associated with CV risk factors and might contribute to the development of CV disease.
Kawakami et al, 198955373 male blue collar Japanese workers without hypertension were followed for 1 year.Five kinds of perceived job stress were assessed by means of mailed questionnaires.
Type A behavior: Bortner short-rating scale.
Job stress from complicated machine operation was found to be a significant predictor of DBP increase. Job overload, physical discomfort, human relations, and job dissatisfaction, on the other hand, bore no significant relation to systolic and DBP increases. The use of production machines involving complicated operations and newly developed technology might be a risk factor for high DBP.
Lindquist, 199798Men (n = 337) and women (n = 317) working in an Australian government tax office.Completed questionnaires for assessment of work-related stress, coping strategies, and lifestyle. Seven resting BP measurements were recorded serially on each of two occasions 1 week apart.There were no direct associations between measures of work stress and BP.
Maina et al, 200817104 volunteers male and female call center operators.Daily cortisol profiles consisting of seven time points were measured across 2 work days and 1 leisure day to determine the cortisol awakening response and the cortisol output in the day. Karasek and Siegrist questionnaires.The two work stress models differentially affect salivary cortisol output. This finding suggests that combining the information from two complementary job stress models results in improved knowledge on the psychobiological correlates of the psychosocial work environment.
Markovitz et al, 200479A total of 3200 employed, initially normotensive participants, ages 20–32 in 1987–1988 were followed for 8 yearsLongitudinal. The JCQ was completed twice: initially and 8 years later. BP sphygmomanometer.Increased job strain is associated with higher incidence of hypertension, particularly among young white adults.
Matthews et al, 198759241 male, hourly workers, ages 40–63 years, employed for a minimum of 10 years at one of two plants in the metropolitan Pittsburgh.BP sphygmomanometer, questionnaire.Men with elevated DBP reported having little opportunity for promotion low decision latitude, an uncertain job future, unsupportive coworkers and foreman, difficulties in communicating with others, and overall dissatisfaction with the job. Overall job satisfaction was related to low DBP among men from the plant rated as having overall good work conditions.
Murata et al, 1999102237 shift and 115 day workers without any obvious disorders (Japan).BP, ECG, blood biochemistry, physical. Shift/day work was compared to the QTc.BP, working duration, and biochemical and other data were comparable between the two work groups. The increased risk for cardiovascular mortality in shift workers may be attributable to prolongation of the QTc.
Niedhammer et al, 19985The original cohort comprised 20,625 volunteers (men ages 40–50 and women ages 35–50) employed by the French Company Electricité De France-Gaz De France and followed yearly since 1989. The present study was restricted to the 13,226 volunteers in the cohort who were still working and answered a self-administered questionnaire.Cross-sectional. A questionnaire on psychosocial work factors in 1995. The main outcome measures were the prevalence of hypertension, hyperlipidemia, and diabetes within the previous 12 months, overweight, smoking, and alcohol consumption.These cross-sectional results underline the potential effects of psychosocial work characteristics on cardiovascular risk factors and the differences between the effects of job stress in men and women. The relationship is confirmed by direct mechanisms (through physiological variables) and indirect mechanisms (through behavioral risk factors) potentially involved in the relation between psychosocial work characteristics and CV disease.
Nomura et al, 2005103396 Japanese male workers, ages 24–39 years, employed in a Japanese information service company.Cross-sectional JCQ. The job strain index was defined as the ratio of job demand to job control scores. Psychological responses were assessed by tension-anxiety and anger-hostility scales in the Profile of Mood States.The association between job stress and baPWV was found to be inconsistent with the results of previous Western studies.
Otsuka et al, 2009104808 working men (mean age; 47 ± 5 years) at a company in Kanagawa, Japan, in 2007.Radial AI was measured using automated applanation tonometry. Job demand and job control (decision latitude) were evaluated by self-administered Brief Job Stress Questionnaire. High job strain was defined as the combination of high job demand and low job control.High job strain was significantly associated with an elevated radial AI.
Peter et al, 199739179 middle class managers (40–55 years of age).Cross sectional. Staff records. Structural review and questionnaires (Siegrist). BP sphygmomanometer.Middle managers suffering simultaneously from high effort and low reward (active coping) were at substantially elevated risk of exhibiting manifest hypertension. Middle managers characterized by passive coping (low occupational rewards only) were more likely to experience sickness absence. Both findings are in accordance with stress-theoretical considerations on different health outcomes of active vs. passive coping.
Peter et al, 1998474958 subjects living in the greater Stockholm area ages 19–70 years. Complete data: only in 30–55 age groups.Cross-sectional first screening of prospective cohort (WOLF study). Association between work stress and CV risk factors.Men with increased CV risk factors are more likely to suffer from high extrinsic effort (in particular time pressure) and low status control (for example, job insecurity and undesirable changes in the work situation), whereas women with increased cardiovascular risk factors were more likely to experience insufficient esteem by superiors and lack of reciprocal support.
Peter et al, 1999752288 male participants ages 30–55 years in the baseline screening of the Swedish WOLF study.Survey. Participants underwent a clinical examination and answered a standardized questionnaire measuring shift work schedules, effort-reward imbalance at work, and health-adverse behavior.A stressful psychosocial work environment acts as a mediator of health-adverse effects of shift work on hypertension and, partly, on atherogenic lipids.
Pieper et al, 198928Five databases: NHANES I, II; National Health Examination Survey, Western Collaborative Group Study, and Exercise Heart Study, in this analysis, only men ages 18–64 are included (n = 12,555).Meta analysis. Standard techniques of casual BP assessment were used. Job control and psychological demand were done according to scales developed for the studies. Using an imputation strategy, the authors attached measures of the two job characteristics above to persons in each data base by occupation. Age race, education, body mass index, and Type-A behavior pattern were controlled for.The main effects of job decision latitude were related to at least two risk factors—smoking and SBP. Aspects of work, particularly decision latitude, were related to heart disease risk factors.
Prunier-Poulmaire et al, 1998105French customs service workers.Survey. A questionnaire specially designed for the evaluation of specific job. The three variables were included in a series of logistic regression analyses on the health aspects of the customs officers.The results point to a need for a multifaceted approach to research and intervention regarding the difficulties encountered by shift workers, from both the occupational medicine and the work design point of view.
Radi, 200534203 subjects (142 men and 61 women) and 406 controls (284 men and 122 women) were included in the study. Mean age men: 41.8, women: 43.5.Case control study nested in the Incidence of Hypertension in a French Working Population Cohort study. Social Support Questionnaire for Transactions validated in French. CV risk factors were also collected. The self-administrated questionnaire of Karasek was used. The cohort study was designed to assess the 1-year incidence of hypertension in a working population.BP was higher in the whole sample of men than in the sample of women 128.0/81.4 vs. 125.0/79.1 BMI was also higher in men than in women 25.6 vs. 24.4. In this population of working men and women, we found an association between job constraints and hypertension in both genders. Our results confirm the role of job constraints as hypertension risk factors, particularly in women.
Ragland et al, 1987481500 black and white male bus drivers from a large urban transit system in the United States—80% operate diesel and electronic buses, 20% operate light rail vehicles and cable cars.Cross section. Drivers were compared to three groups: individuals from both a national (HANES II) and local health survey and individuals undergoing baseline health examinations before employment as bus drivers. BP sphygmomanometer.Hypertension rates for bus drivers were significantly greater than rates for each of the three comparison groups. These findings support previous results from international studies of bus drivers suggesting that exposure to the occupation of driving a bus may carry increased health risk.
Røvik et al, 200745Physicians graduating from all four Norwegian universities in 1993/94 (n = 631) responded at various time points: during their final year of medical school (n = 522), during their internship (n = 402), in their fourth postgraduate year (n = 422), and in their tenth postgraduate year (n = 390). The mean observation period was 9.2 years.Established job stress questionnaire (Cooper/Tyssen), with emphasis on dimensions of the work-home interference.Stress related to the work-home interference increases through the first 9 years of physicians’ careers, in contrast to decreasing specific patient-work stressors. Lack of reduction in working hours and having many children predicted an increase in stress related to the work-home interference.
Salavecz et al, 201088Data from four epidemiological (urban populations) studies were used: the HAPIEE study (Poland, Russia, and the Czech Republic), the Hungarian Epidemiological Panel, the Heinz Nixdorf Recall study (Germany), and the Whitehall II study (UK). The overall sample consisted of 18,494 male and female workers ages 35–65 years.Most of the analyzed studies were prospective.The association of effort-reward imbalance at work and of a high degree of work-related overcommitment with poor self-rated health was seen in all countries, but the size of the effects differed considerably. The effects in Eastern Europe do not seem to be systematically stronger than in the West.
Schlussel et al, 1990902616 men and 1648 women from seven worksites in New York city. Employees of a newspaper typography department (n = 275), a federal health agency (n = 648), a stock brokerage (n = 1003), a liquor marketer (n = 1124), a private hospital (n = 340), a sanitation collection and repair facility (n = 625), and a department store warehouse (n = 259).Cross-sectional study. BP sphygmomanometer.Higher pressures were associated with worksite differences, male gender, lacking a high school education, having a clerical occupation, and being unmarried. Similar results for diastolic pressure suggest that researchers should consider worksite and job characteristics as important predictors of BP differences in working populations.
Theorell et al, 19886173 men and women ages 22–63 years and working in six different occupations (air traffic controllers, waiters, physicians, symphony orchestra musicians, baggage handlers, and airplane mechanics).Longitudinal, cross-sectional, BP sphygmomanometer, and questionnaire four times over 1 year.SBP during work hours, as well as self-reported sleep disturbance, increased when demands increased in relation to decision latitude. Among subjects with a positive family history of hypertension the increase in SBP at work was particularly pronounced, and among the men in this group a lower than expected level of morning cortisol was found measured during the period with the highest level of strain.
Theorell et al, 2000385720 working men and women ages 15–64.Cross sectional. The coping pattern was studied by means of a Swedish version of a self-administered questionnaire that was originally introduced by Harburg et al.In men, covert coping was associated with prevalence of hypertension. In women, there tended to be a relationship between low scores for open coping and hypertension.
Tsutsumi et al, 200187Study population: actively working men and women <65. n = 6994 men and women, employed, record of hypertension. Medicated or nonmedicated hypertensives. Screened rural population compared to representative population.Job strain was defined as the ratio of demands to job control. Questionnaires. SBP and DBP sphygmomanometer.The findings provide limited support for the hypothesis that job strain is related to high BP among Japanese male workers, which is independent of possible confounding factors.
Uchiyama et al, 20051063877, ages 40–75, Japan.Karasek questionnaire and BP.No significance found between long working hours and CVE. Job strain was significantly associated with risk of CVE.
Studies using 24-hour ABPM
Brisson et al, 199934199 white collar women with and without children employed in eight organizations in Quebec (selected from population of 3183 women of all ages).Cross-sectional ABPM on working day. JCQ, Karasek.Large family responsibilities were associated with significant increases in diurnal SBP and DBPs among white collar women holding a university degree. In these women, the combined exposure of large family responsibilities and high job strain tended to have a greater effect on BP than the exposure to only one of these factors.
Brown et al, 19986Female nurses and nurse’s aides from two ethnic groups: Filipino-Americans (n = 38) and Caucasians (n = 22).ABPM was performed during a typical work day, diary report.For all subjects BP was higher at work. The extent of BP variation during daily activities may depend on cognitive processes, influenced by the cultural background and emotional state of the individual. Ethnicity has an important impact on BP variation.
Cesana et al, 199623Electorate of Monza: industrial, commercial, and administrative area. 635 employed subjects. Patients on drugs or very high BP were excluded. The PAMELA study.Cross sectional. Clinic and ABPM, Italian Mopsy questionnaire, a version of the Karasek scale.SBP was found in high strain group, both by clinic and ABPM. In the mild hypertensives, lower mean BP was found in the passive group, they had highest white coat effect.
Clays et al, 20079489 middle-age male and female workers. Belgium. BELSTRESS study cohort.Cross-sectional, controlled study. Workers perceiving high job strain (JCQ, Karasek) and an equally large group of workers perceiving no high job strain wore an ABPM 24 hours on a regular working day.High job strain was an important independent risk factor for higher ABPM at work, at home, and during sleep in a group of men and women.
Del Arco-Galan et al, 199444100 physicians, staff, and residents working in the emergency roomABPMBeing on call modified both systolic and diastolic ambulatory BP profiles. SBP increased in 83% of subjects and 40% displayed a significant pressor response of 10 mm Hg or more. Family history of hypertension and professional status were the most important determinants of the pressor response.
Goldstein et al, 199933138 registered nurses, ages 25–50.ABPM on 2 work and 2 off days (during the luteal and follicular phases of menstrual cycle, evaluation of cortisol and catecholamines). Questionnaires.The work environment leads to increased activity of the cardiovascular and sympathoadrenal medullary system in healthy women. However, the effects are modified by the woman’s domestic role, by the length of employment, and by the demands of the job.
Hayashi et al, 199685Workers, white collar employees, in Japan.Comparison between four groups. ABPM, heart rate, fatigue—Japanese questionnaire by Japan society for occupational health.For those with normal BP and those with mild hypertension, the ABPM of the overtime groups was higher than that of the control groups; for those who periodically did overtime work, the ABPM and HR during the busy period increased. These results indicate that the burden on the CV system of white collar workers increases with overtime work.
Landsbergis et al, 199497Full-time male employees (n = 262) at eight worksites.Casual BP screening, medical examinations, and questionnaires and ABPM for 24 hours on a workday.All formulations of job strain exhibited significant associations with SBP at work and home, but not with DBP. Adding organizational influence to the task-level decision latitude variable produced a stronger association for hypertension with job strain.
Landsbergis et al, 2002153228 participants in WSBPS study screened at New York work sites, 1640 eligible.Retrospective compared to prospective. Psychosocial factors, ABPM and JCQ questionnaire.The WHQ exhibited moderate validity for assessing past job characteristics, a weak association with SBP, and expected patterns of change over time. Thus, it may be a valuable tool for measuring the health effects of historical job characteristics, which often change over time.
Light et al, 199580143 healthy men and women ages 18–49 years, 123 of whom participated in a previous investigation of job strain effects. Study group included 72 men (40 white, 32 blacks) and 71 women (35 white, 326 blacks).BP sphygmomanometer. 1–6 weeks later, 24 ABPM throughout 8-hour working day + diary. After downloading: subjects were reinstrumented and a series of five behavioral stressors, each 3 minutes, was performed. Job status was assessed using classification of Stevens and Cho.In men, low decision latitude was associated with hypertension. In women, low decision latitude was related to hyperlipidemia.
Sega et al, 199846A total of 80 air traffic controllers participated.ABPM during two working shifts separated by one night of rest. Data were compared with those of an age matched with a male sample three times as large, selected from the data of the PAMELA study (ie, a large sample representative of the population of the nearby town of Monza).Conventional DBP and heart rate were similar in ATC and controls, whereas conventional SBP was significantly greater in the former than in the latter group.
Schnall et al, 199877Participants were 195 men, four groups: those not having job strain at either assessment (n = 138), those having job strain at both times (n = 15), and two crossover groups.Longitudinal. ABPM on two occasions 3 years apart. Job strain status, evaluated at each assessment.Highly significant effects of job strain on ABP. Those in high-strain jobs at both times had systolic/diastolic ABPs at work and at home The longitudinal analysis showed that those with a high strain job at Time 1, but not at Time 2, had a significant decrease in work and home ABP. Change in job strain status partially predicted change in ABP. These results provide new evidence supporting the hypothesis that job strain is an occupational risk factor in the etiology of essential hypertension.
Schnall et al, 199076215 employed men ages 30–60 years without evidence of coronary heart disease were studied at seven work sites in urban New York (87 cases of hypertension and a random sample of 128 controls), after comprehensive BP screening of 2556 male employees.Case-control.ABPM at work site, ECG for LV mass index, Karasek JCQ.Job strain was significantly related to hypertension. Job strain may be a risk factor for both hypertension and structural changes of the heart, as indicated by ventricular mass index, in working men.
Steptoe et al, 20005481 school teachers from the United Kingdom (26 men, 55 women), 36 of whom experienced persistent high job demands over 1 year, whereas 45 reported lower job demands).Participants were divided on the basis of high and low job demands, and high and low systolic pressure reactions to an uncontrollable stress task. ABPM from 9:00 AM to 10:30 PM on a working day.CV stress reactivity was associated with waist/hip ratio. SBP and DBP during the working day were greater in high job demand participants who were stress reactive than in other groups. The difference was not accounted for by variations in physical activity. Cardiovascular stress reactivity and sustained psychosocial stress may act in concert to increase CV risk in susceptible individuals.
Steptoe et al, 200482197 working men and women ages 45–59 years, recruited from the Whitehall II epidemiological cohort.ABPM every 20 minutes. Effort-reward imbalance and overcommitment to work were assessed with standard questionnaires.Overcommitment predicted SBP over the day in men. Chronic neuroendocrine and cardiovascular activation may mediate in part the impact of overcommitment to work on cardiovascular disease risk in men.
Tobe et al, 20057248 male and female volunteers who were nonmedicated, employed, and living with a significant other, all for a minimum of 6 months.ABPM and a diary that recorded time during work, spousal contact, and sleep. Job strain and marital cohesion were calculated from JCQ and the Dyadic Adjustment Scale, respectively.Marital cohesion has a moderating influence on the elevation of BP resulting from job strain.
Trudel, 201069White collar workers recruited from three public organizations. 2357 workers (80% participation, 61% women; mean age, 44 years).Cross sectional. BP sphygmomanometer (subsequent readings) and ABPM. Job content questionnaire (18 items).Mild hypertension is associated with job strain in men. Workers in “active” job situations may be more likely to have the condition.
Vrijkotte et al, 200056109 male white collar workers (age 47.2 ± 5.3) from the Netherlands.ABPM, chronic stress Siegrist’s model, diaryThe detrimental effects of work stress are partly mediated by increased heart rate reactivity to a stressful workday, an increase in systolic blood pressure level, and lower vagal tone.

AI, augmentation index; ABPM, ambulatory blood pressure monitor; ATC, air traffic controllers; baPWV, brachial-ankle pulse wave velocity; BELSTRESS, Belgian Job Stress Project; BMI, body mass index; BP, blood pressure; BPM, blood pressure monitor; CHD, congestive heart disease; CV, cardiovascular; CVE, cardiovascular event; ECG, electrocardiogram; HANES, Health and Nutrition Examination Survey; HAPIEE, health, alcohol and psychosocial factors in eastern Europe; HDL, high-density lipoprotein; HR, heart rate; JCQ, Job Content Questionnaire; NHANES, National Health and Nutrition Examination Survey; PAMELA, Pressioni Arteriose Monitorate E Loro Associazioni; SBP, systolic BP; WHQ, Work History Questionnaire; WOLF, Work Organization, Lipids, and Fibrinogen.

Various approaches have been suggested in an attempt to arrive at consensus about the possible relationship between occupational stress and hypertension with a view toward formulating preventive or compensatory interventions. While being conscious of the near impossibility of the task of reaching valid or operative therapeutic conclusions, some practical suggestions have been made.18, 19, 20, 21 Approaches to the reduction of stress at the work site are addressed at the end of this article.

The subject has been reviewed in the medical and sociopsychological literature. The present review focuses on the problematic aspects of the subject, including the different models for measuring and assessing effects, varying time spans, outcome variables, and delineation of the biosocial parameters studied. Table 1 complements the text with a number of key studies, selected mainly because they deal with specific aspects or special populations of workers. The studies were selected by a search of PubMed for reviews using the words job (or work) strain (or stress) and BP (or hypertension) during the past 10 years, and examination of some of their references.

Back to Article Outline

Discussion 

Methodologies 

Some studies of the possible association between job stress and cardiovascular risk factors, especially hypertension, deal with work-related stressors alone or in conjunction with individual characteristics, whereas others concentrate on individual differences in response rather than on the nature of the stressors. Because occupational demands, threats, and conflicts—the most frequent stressors—cannot be identified by direct physical or biological measurement, theoretical concepts, and integrative models have been developed to delineate stressful job characteristics.21 A number of questionnaires have been created to enable evaluations and comparisons, including Landsbergis’ Work History Questionnaire (based on the Job Demands-Control-Support model),15 Karasek’s Job Content Questionnaire (JCQ),22 Cesana’s Mopsy questionnaire (modified JCQ),23 and Siegrist’s Effort-Reward Imbalance (ERI)24 The two most frequently used approaches are the JCQ,22 which defines job strain as a two-dimensional construct composed of a high level of psychological demand and a low level of perceived control or decision latitude, and the ERI model, which gauges the effect of stressful experience at work on the incidence of diseases such as CVD.24 The ERI model has been used less widely than the JCQ for assessing job stress. Although the JCQ model focuses on workplace characteristics, the ERI model is concerned with the stressful features of the work experience and their possible relationship to CVDs. Each of these approaches gives a different insight into the problem. When the two questionnaires were compared, the full JCQ, which is mostly used in CVD studies in the United States, Europe, and Japan was found to contain questions covering most of the relevant job strain variables, many more than the ERI.25

Large portions of the workforce in modern economies are exposed to mental and emotional demands and threats at work, and as a result psychosocial stressors are becoming more frequent.

The effect of the psychosocial stressors on CVD “is likely to parallel or even outweigh the contribution of the more traditional occupational stressors (physical and chemical hazards).”21 Psychological or psychosocial stress appears to result from the interaction between environmental demands and environmental control (or rewards).

Choi et al26 studied the role of psychosocial work characteristics (job control and psychological demands, both separately and together) on the amount of leisure time physical activity (LTPA), and found that active LTPA was more prevalent in workers in low-strain jobs. They suggested that the cumulative stress of high-strain jobs could inhibit workers from engaging in LTPA, with obvious deleterious effects on their health. However, longer working hours (or shift work or a second job) and low annual income may be additional deterrents to leisure time activities.

Chronic stressors may not be life-threatening initially, and their effect depends on human decision making and coping strategies. The primary stressors, which are environmental, interact with the individual’s psychological makeup to produce the perception of the level of stress.2 The magnitude of the response is determined by the interaction of three factors: the degree of arousal in the central nervous system engendered by the stimulus, the individual’s ability to cope with the stressor, and the physiological susceptibility of the individual. These have been dubbed ‘the three Ss’: stressors (stimulus), stress (subjective element), and sickness (the physiological response).27 Still another approach proposes a tripartite approach defining the relationship between job strain and BP: environmental stressors, psychological (personality/susceptibility/previous experience), and physiological/biological factors.3 Beilin10 explored the paradigm relating environmental psychosocial stress, individual coping mechanisms, and lifestyle-related factors such as obesity, alcohol consumption, and sodium and potassium intake to BP levels. He considered these issues critical for research methodology in this area, because previous studies had shown conflicting results.

In a meta-analysis of five US databases assessing the relationship between psychosocial dimensions of work and coronary heart disease risk factors, the findings were not as strong as expected; this might be explained by the use of casual BP in those studies.28 There were no consistent results across either risk factors or databases, although there was some evidence that the degree of decision latitude at work was related to risk factors. It has been suggested that different individuals working in jobs with similar duties may perceive these duties differently, and may have various degrees of success in coping.

Confounding Variables 

Some of the confounding variables are sociological, relating to changes in gender and ethnic or cultural group roles, whereas others depend on technological advances, increasing educational levels, urbanization, and the like. Outside the family, the occupational setting is believed to be one of the most important potential environmental stressors in modern society. Siegrist’s model29 suggests that the lack of balance between efforts spent at work and rewards—money, promotion prospects, job security, and self-esteem—can elicit stressful responses. Psychosocial experiences outside of work, at home and in the community, and across the lifespan may be significant enough to be taken as part of the psychosocial analytical framework, even when workplace effects are the primary focus.29

Evidence suggests that the mechanism involving elevated BP is substantial for both women and men.30, 31 Curtis et al found that although job strain was more prevalent among women, they did not consider it a predictive factor for elevated BP; this again could be explained by casual BP being the method of measurement.32 On the other hand, the increased activity of the cardiovascular and sympathoadrenal medullary system caused by a stressful work environment in women, emphasizes the role of gender. This may be modified, however, by the woman’s domestic role, length of employment, and job demands.33 In a study of white collar women with a university degree, family responsibilities combined with high job strain were found to have a greater effect on BP than either of the two variables alone.34 Other researchers found an association between job constraints and hypertension in both genders, although it was particularly noticeable in women.35

A study of female nurses in Holland reported that the strong effect of job stress on BP reported in studies of men was less prominent in women.13 The absence of effect on ambulatory blood pressure monitor (ABPM) or heart rate of job strain alone or in conjunction with social support variability raised the question whether the gender differences were due to psychological or physiological differences (effects of menopausal status, sensitivity to catecholamines and cortisol in target organs, social gender roles, and attitudes in social situations). It was suggested that in a homogeneous work setting, differences in job strain are due to subjectively experienced job demands and decision latitude, rather than objective job characteristics.

Although female participation in the labor force has increased, home and family roles and responsibilities have not always kept pace.36 On the one hand, working mothers are protected from the negative aspects of being full-time homemakers and dependent on a male partner, thus increasing their self-esteem; on the other hand, employment outside the home places many competing demands on them, resulting in fatigue and role strain. Occupational prestige and personal income (as opposed to familial) are sometimes offset in women by conflicting responsibilities, and may have adverse effects on clinical parameters such as BP, diabetes, and body mass index (BMI).12 In Pickering and Devereux’s 2 analysis of the potential sources of domestic stress related to BP, married women had higher systolic BP at work, whereas married women with children had higher systolic and diastolic BPs both at home and at work. The main source of stress in single women was at work, and they showed patterns of BP similar to men. Marital cohesion may interact with job strain in affecting BP levels, strengthening or weakening the effect in accordance with the degree of cohesion or lack of it.8

Stress or strain, which may manifest itself as depression or exhaustion,12 can be due to overstimulation or understimulation.36 Eaker12 distinguished between occupational situations with high demands and a high level of control, and situations with high demands and a low level of control, both of which may be stressful. Pickering and Devereux2 considered that the specificity of the JCQ model is both its strength and its weakness. Although it ignores certain individual-related factors, conceptualizes “control” rather narrowly, and concentrates on the work situation (the environment), its strength lies in directing attention to the potential negative effects of high-strain jobs, independent of worker characteristics that might moderate these effects. The demand/control approach treats emotional response as a dependent variable, derived from work-related behavioral requirements, and not isolated from them. Thus, the assessment of an effect must include not only an evaluation of the job demands, but also how effectively they can be controlled.

The hierarchical status of the worker at the workplace probably affects both the perception of stress and the ability to cope with it. One may suppose that a job with a high degree of mutual support between coworkers will be less stressful than one involving strain and conflict with colleagues at the same or a different (higher or lower) hierarchical level. A person with managerial status has a great deal of authority, but the accompanying responsibility may affect the stress response. In other words, although the “stress of higher status” hypothesis may be relevant for both men and women, the rewards of higher status may be offset by greater stress.37 Conversely, a person lower down on the hierarchy may not have to face the responsibility that comes with rank, but conflicts with superiors because of unfair treatment or demands or insufficient reward may engender anger and depression leading to stress.38 Peter and Siegrist39 found that middle managers, characterized by simultaneous high effort and low rewards (active coping), were at a greater risk of developing hypertension than those with low reward alone (passive coping).

Intra-occupational studies may have a strong subjective component, related perhaps to personal status within the hierarchy, whereas inter-occupational studies provide a more objective assessment by the individual.40

It is important to remember that lower socioeconomic status is associated with higher levels of BP and CVD risk, and must be taken into account when assessing how various stressors may affect cardiovascular health.41 Moreover, the association between stress and chronic disease may depend on social class to such an extent that the effects cannot be separated.16 They can be measured and analyzed separately or together in relation to BP.42

In addition, new work patterns involving computer-based and network communications, and mass media communication serving as a means of social coordination in ever-increasing numbers and types of social activities, may require new methodologies for assessing the psychosocial work experience.43

Difficulties in Assessing the Job Stress Interaction 

The problem with all these ostensibly valid conclusions lies in the enormous difficulty of assessing and quantifying the two principal variables: job and stress. Differences in the three main components of all the studies that make evaluating and comparing them difficult are the population of the study, the time span studied, and the methods of measuring occupational stress. In order for statistically valid conclusions to be drawn aimed at effective preventive or therapeutic solutions, the scientific method requires a unified approach.

Study populations are vastly different. Some investigators examine a specific type of occupation: physicians,44, 45 air traffic controllers,46 nurses,19, 47 bus drivers,16, 19, 48, 49, 50, 51, 52 teachers,53, 54 blue collar workers,55, 56 white collar workers,57 prison guards,58, 59 and government employees.60 Others try to compare different occupational sectors.61 Some studies focus on one gender only, such as women teachers and/or nurses,13, 33, 62, 63 women managers,64 white collar women,34, 65 male civil servants,66 male cabin crew and teachers,67 and others study inter-gender differences.35, 38, 47, 68, 69 Some studies deal with the population of one country, whereas others attempt cross-country comparisons. This might be the reason that some studies provided little or no evidence to support the belief that job strain is directly related to blood pressure levels.

Bus drivers are considered a special worker population, with jobs characterized by complex tasks requiring rapid response to unexpected hazards that have to be performed under a rigid time schedule, frequent shift work, a high level of responsibility for passengers and equipment, and a low level of control discretion over how to carry out the job.48 Indeed, professional drivers, particularly urban transport operators, were the workers with the most consistent evidence of increased risk of ischemic heart disease and hypertension in a review of 34 studies.70 These workers, exposed to a wide range of psychological and physical stressors, may be prone to higher rates of hypertension than other blue collar workers, irrespective of perceived stress. It is important to remember that occupational stressors can affect BP even if they are not perceived as stressful.71 Gobel et al assessed job strain in different types of bus drivers and buses in different cities, using electrocardiogram measurements and eye movement analysis.49 They found that short-haul bus drivers were exposed to a particular work load situation: high-density traffic and frequent stops, often involving simultaneous execution of tasks, performed with compulsory body posture and under exposure to vibration and noise. Rydstedt19 expressed this situation as the contradictory demands made on bus drivers: safety vs. adherence to timetables, repetitive and sedentary work balanced against vigilance and the processing of a multitude of signals, with little or no control over the pace of work and schedules. These various studies point up the difficulty in drawing conclusions from studies with variations in methodology and outcome measures.48

Irritability, fatigue, sleep disturbances, and low back pain are frequently reported among pilots.72 High demands were associated with sleep problems among captains, and long-haul flights were associated with sleep problems among first officers. Low skill discretion was associated with fewer sleep problems among first officers.73

Firefighters, police officers, and other emergency responders, including ambulance drivers, were also grouped together as having specific characteristics.20 It was suggested that strenuous duties interacted with personal risk profiles to affect BP in this group. In addition to the fatigue and sleep disruption induced by the irregular hours they are required to work, they have higher rates of chronic disease and mortality.74 This type of work is characterized by long periods of relative inactivity punctuated by unpredictable and stressful bursts of high intensity and potentially life-threatening activities. However, here, too, a “healthy worker effect” comes into play, because emergency responders are subjected to medical and physical exclusion criteria at job entry. Sega et al found that BP was not increased in air traffic controllers, for instance, but they suggested that because this was a highly selected group with suitable training, they could more adequately cope with stress.46 A “healthy worker effect” was also thought to be partly responsible for mediating the adverse effects of shift work on cardiovascular risk factors and hypertension.75

The time spans of the studies differ. Some measure BP once or over a short period of days, whereas others are longitudinal or prospective.76, 77 The latter are valuable in assessing the physiological or psychological effect of sustained stress, but when the interval between measurements is long, both the study population and the work conditions may have changed.1 Dropout of “highly stressed” participants from studies may be a much greater problem than previously assumed.29

In a prospective study of psychosocial factors and ABPM, Landsbergis et al introduced a Work History Questionnaire to try to gauge the health effects of past jobs over time, cautioning that one cannot disregard the changes in an individual’s self-perception as well as other family and environmental changes occurring during that period.2 Assessment of job characteristics over a working life can be informative about the health effects of historical job characteristics, which often change over time; but, such studies entail asking numerous questions about each job, increasing the survey length and potentially reducing response rates, to say nothing of the failures of memory recall when dealing with an employment history that spans several decades. In another prospective study on the effect of cumulative job strain on systolic BP among men, the risk was comparable in magnitude to that of age and sedentary behavior, unrelated to occupational stress.65 When longitudinal studies are performed, the recognized seasonal fluctuations in BP should also be considered, a point ignored in most studies.

Measurement 

The parameters and scales used for measuring stress78 or occupational stress as well as the modes of measurement differ from one study to another. It is almost as difficult to delineate the end points for measurement of BP as it is to determine arbitrarily the cutoff points defining high-strain jobs, especially as stress is generally dependent on the individual’s self-perception.40 Karasek’s JCQ model uses a self-administered questionnaire consisting of a maximum of 49 questions to measure the social and psychological characteristics of jobs and their effect on the individual; these include decision latitude, skill discretion, social support, physical demands, and job insecurity. The model presumes that psychosocial experiences are a major determinant of health and well-being, mediated by neurophysiological mechanisms as well as behavioral pathways.

Many studies are short-term, whereas some are longitudinal,76, 77, 79 and it has been suggested that information about chronic life stress exposure and the average daily load (eg, job strain) may be more useful than the effect of laboratory stressors (cold pressor test, active coping mental stressors) for gauging the effect on subsequent BP levels.80 Because laboratory stressors are modulated by genetic and environmental factors, high daily life stress augments the BP effects of family history and baseline stress responses. Thus, the group of participants expressing both genetic susceptibility and higher stress reactivity is at greatest risk of elevated BP or other cardiovascular problems; in other words, the adverse effects of increased life stress or decreased stress buffers would be most pronounced among individuals who are high stress responders as well as genetically susceptible. These authors80 proposed a new hypothesis, the Genetic and Environmentally Modified Stress Responsivity Hypothesis, for gauging the interactive and additive effects of the three critical factors—increased daily life stress/decreased buffers, high stress responsivity, and genetic susceptibility—rather than examining environmental stress factors in isolation.

At the physiological level, chronic exposure to stress is believed to be one of the most prominent environmental causes of hypertension.2 Clearly, the genetic makeup of the individual and a family history of hypertension are crucial factors in the relationship, but even the physiological mechanism by which stress may affect BP is not fully understood. Although it is generally accepted that neural and hormonal mechanisms are of major importance in the early stages of elevated BP, structural changes in vessel wall may cause it to be maintained through the sympathetic nervous system, by delayed effects of adrenalin and other physiological changes.81 Moreover, different factors act differently to cause hypertension in different individuals. Family history and genetic predisposition may interact with a number of environmental factors including occupational stress to cause hypertension,80 although insufficient attention has been paid to this important aspect of the problem.

Some researchers studied the effect of job strain on specific physiological variables causing sleep disturbances and hypertension (chronic endocrine and cortisol levels and sympathetic activity),17, 81, 82 as distinct from the effect of other environmental factors (lifestyle, diet, alcohol) on those same variables.61 Others used cardiovascular risk factors as the starting point and examined their effects on the perceived job stress,47 emphasizing the weakness of one-time measurements compared with 24-hour monitoring. Schnall et al76 found that job strain might cause long-term structural changes in the heart, as shown by increased left ventricular mass index.

Even evaluating the nature and mechanism of the stress response is considered problematic.12 Is it dependent on the pituitary-adrenocortical system (qualitative), or is it measured in terms of the sympathetic-adrenal medullary system (SAM quantitative), reflecting the intensity of stress arousal? Although the biological mechanisms linking psychosocial work stress to ill health are not fully understood, a plausible biological linking mechanism could be the catecholamine and cortisol reactions observed during stressful conditions.17, 19, 47, 82 Peter et al19 found that increased mean cholesterol values were associated with increased degrees of extrinsic effort/reward imbalance, thus supporting the hypothesis that effort/reward imbalance as a stressful experience at work could be related to cardiovascular risk. Maina et al17 obtained different results for measures of salivary cortisol output in relation to job strain assessed by the JCQ and the ERI models. It has been suggested that combining the results of the two models might give a better picture of psychobiological correlations of the work environment,4, 17 and perhaps this applies to the physiological variables as well.

Genetics and culture are also considered factors in the job-stress relationship. The results of a number of studies conducted on Japanese and other Far Eastern populations 55, 83, 84 have been consistent with the findings in most Western studies. Japan even has a term for death from overwork—karoshi—and considers that overtime work burdens the cardiovascular system of white collar workers.85, 86

Other studies however, did not support them, and even pointed to an inverse relationship between job strain and hypertension, suggesting that genetic or cultural characteristics may be important factors in the effect of stress as a causative factor in hypertension in these populations.87 Karasek et al9 claimed that inter-occupational differences in job characteristics present an important reference standard for assessing the relative importance of country differences. However, while pointing out that there are national differences in income distribution as well as in work-organizational structures and family stressors in different countries, the averages of job demands, job control, and job social support are similar across countries despite cultural differences and differences in income distributions. In some cross-country comparisons, effort/reward imbalance at work combined with overcommitment was found to be associated with poor self-related health in all countries, but not to the same extent. The effects in Eastern Europe were not systematically comparable to those in the West,88 although it has been suggested that the psychological job characteristics may be more similar across national boundaries than across occupations.29, 89 When studying one geographical area across jobs, Schlussel et al90 compared seven different worksites in one city and concluded that worksite and job characteristics were important predictors of BP differences in different groups.

In relation to evaluation scales and objectivity, some studies using Karasek’s JCQ model found a relationship with ABPM levels, whereas other studies using more “subjective” measures of occupational stress found no such relationship, or even an inverse association. On this point, Peter et al47 argued that the concepts “psychological job demands” and “decision latitude” are theoretically considered to be “objective” characteristics of the work environment. But, they pointed out, there are currently no established models for measuring these parameters in an “objective” fashion. The workers’ response may be influenced not only by the work environment, but by individual characteristics of the worker and life stresses, thus misclassifying the response to stress. Nevertheless, occupational stressors can be measured more objectively by methods that do not rely primarily on individuals’ perceptions of stress; these methods have also shown associations with cardiovascular outcomes. An example is the averaging of job characteristics scores across job titles.91, 92

On a technical point, Choi et al93 compared the differential item functioning of 27 JCQ items in six languages and found that half the items may be associated with differences in translation: skill discretion and decision authority tended to be underestimated in some versions, as were the psychological demands and variations in estimation of worker support. These factors should be considered when comparing results between countries.

The method by which BP is measured may also affect the results of long-term studies. It is of importance especially in light of the finding that mean ambulatory systolic BP is higher during work than during nonwork, this is one of the key findings supporting the hypothesis that work is playing an important role in elevation of BP. It is reasonable to suppose that one-time in-office measurements will not be representative, and vastly different in their implications, compared with 24-hour ABPM, which includes hours spent at home and at night.77, 94 Even then, can one assume that 24-hour measurements will be constant over a period of days? Literature dealing with job strain and stress sometimes ignores the fact that most secondary hypertensives are nondippers, making relating nondipping at to job stress misleading.95

Casual clinic BP measurements are considered to be less reliable than 24-hour BP measurements, for reasons of observer error, white coat effect, and the known variability in a person’s BP (one particular study is an exception65). This may account for why most studies of job stressors that use casual clinic BP measurements show no significant relationship between work exposures and BP, whereas such a relationship is found when ABPM measurements are used. Not only is ABPM a more reliable measure than casual BP, it also ties BP changes to mood and psychological state, gives a picture of dynamic BP fluctuations throughout the day and night, and enables comparisons between work and home, and wake and sleep. ABPM measurements have led to the definitions of people with normal clinical BP but elevated awake ABPM as having “masked” or “occult” or “hidden” hypertension.96

Back to Article Outline

Conclusions 

In view of the enormous amount of evidence pointing to a relationship between job stress and hypertension, attention should now be focused on the practical health implications of the evidence, and on operative solutions and interventions to balance or minimize the relationship.

It has been suggested that the formulations defining job strain, decision latitude, and demands could influence the results: adding organizational influence to the task-level decision latitude variables invariably produced a stronger association between hypertension and job strain.97 Lindquist et al’s finding98 that work stress per se had no direct effect on BP levels prompted them to propose that individual coping strategies and lifestyles should be targeted as much as the work environment when formulating workplace health promotion programs. It has also been suggested that job satisfaction, with all its correlates, should be measured as an organizational level outcome because theoretically based interventions depend on organizational changes beyond the employees’ abilities to perform.5 In one example of interventional measures aimed at reducing occupational stress in bus drivers, self-reported health complaints did not decrease after the intervention, nor did perceived effort and work-related fatigue.19 However, the intervention, admittedly on a small sample of drivers, allowed more control and reduced conflict between service and schedules.

Kales et al20 proposed two approaches: making population-based wellness strategies available, such as encouraging aerobic exercises, weight control, sleep hygiene, stress management; screening and individual counseling for individuals at higher risk of hypertension and prehypertension; and time-limited work clearance to ensure that hypertensives do not continue to work indefinitely with uncontrolled BP, by providing incentives to stabilize BP or restricting duties.

Siegrist21 proposed that specific employment groups at elevated risk of stress be identified and preventive efforts developed. In addition, theory-guided interventions could be implemented and evaluated within single companies and organizations at the individual level (reduction of commitment), the interpersonal level (improvement of leadership, providing esteem rewards), and the structural or organizational level (compensatory wage systems, gain-sharing, non-monetary gratifications). Lucini99 reported reduction of job strain when an anti-stress program was introduced at the workplace that reversed autonomic symptoms. Others have emphasized the importance of managers stating clear goals, objectives and lines of authority, in addition to providing proper training for the workers.25 Rosenthal et al100 reported a method of relaxation based on slow breathing exercises that reduces BP—a potentially useful tool at the work site and at home.

Finally, national and international regulations that ensure and enhance healthy work, fair employment contracts, and welfare measures could be promulgated. Such joint efforts would reduce a significant part of the burden of CVDs. They would go far toward implementing the declaration of the International Labour Organization that “decent work involves opportunities for work that is productive and delivers a fair income, security in the workplace and social protection for families, better prospects for personal development and social integration, freedom for people to express their concerns, organize and participate in the decisions that affect their lives, and equality of opportunity and treatment for all women and men.”

Back to Article Outline

Acknowledgment 

We thank Dr. Jenni Tsafrir for her editorial work and significant input.

Back to Article Outline

References 

  1. Schnall PL, Landsbergis PA, Pieper CF, Schwartz J, Dietz D, Gerin W, et al. The impact of anticipation of job loss on psychological distress and worksite blood pressure. Am J Ind Med. 1992;21:417–432
  2. Pickering TG, Devereux RB, James GD, Gerin W, Landsbergis P, Schnall PL, et al. Environmental influences on blood pressure and the role of job strain. J Hypertens. 1996;14(Suppl 5):S179–S185
  3. Schwartz JE, Pickering TG, Landsbergis PA. Work-related stress and blood pressure: current theoretical models and considerations from a behavioral medicine perspective. J Occup Health Psychol. 1996;1:287–310
  4. Tsutsumi A, Kawakami N. A review of empirical studies on the model of effort-reward imbalance at work: reducing occupational stress by implementing a new theory. Soc Sci Med. 2004;59:2335–2359
  5. Niedhammer I, Goldberg M, Leclerc A, David S, Bugel I, Landre MF. Psychosocial work environment and cardiovascular risk factors in an occupational cohort in France. J Epidemiol Commun Health. 1998;52:93–100
  6. Brown DE, James GD, Nordloh L. Comparison of factors affecting daily variation of blood pressure in Filipino-American and Caucasian nurses in Hawaii. Am J Phys Anthropol. 1998;106:373–383
  7. Tobe SW, Kiss A, Szalai JP, Perkins N, Tsigoulis M, Baker B. Impact of job and marital strain on ambulatory blood pressure results from the double exposure study. Am J Hypertens. 2005;18:1046–1051
  8. Tobe SW, Kiss A, Sainsbury S, Jesin M, Geerts R, Baker B. The impact of job strain and marital cohesion on ambulatory blood pressure during 1 year: the double exposure study. Am J Hypertens. 2007;20:148–153
  9. Cottincton EM, Matthews KA, Talbott E, Kuller LH. Occupational stress, suppressed anger, and hypertension. Psychosom Med. 1986;48:249–260
  10. Beilin LJ. Stress, coping, lifestyle and hypertension: a paradigm for research, prevention and non-pharmacological management of hypertension. Clin Exp Hypertens. 1997;19:739–752Review
  11. Frommer MS, Edye BV, Mandryk JA, Grammeno GL, Berry G, Ferguson DA. Systolic blood pressure in relation to occupation and perceived work stress. Scand J Work Environ Health. 1986;12:476–485
  12. Eaker ED. Does job strain increase the risk for coronary heart disease or death in men and women? The Framingham Offspring Study. Am J Epidemiol. 2004;159:950–958
  13. Riese H, Van Doornen LJ, Hourman IL, De Geus EJ. Job strain in relation to ambulatory blood pressure, heart rate, and heart rate variability among female nurses. Scand J Work Environ Health. 2004;30:477–485
  14. Ducher M, Cerutti C, Chatellier G, Fauvel J-P. Is high job strain associated with hypertension genesis?. Am J Hypertens. 2006;19:694–700
  15. Landsbergis PA, Schnall PL, Pickering TG, Schwartz JE. Validity and reliability of a work history questionnaire derived from the Job Content Questionnaire. J Occup Environ Med. 2002;44:1037–1047
  16. Albright CL, Winkleby MA, Ragland DR, Fisher J, Syme LS. Job strain and prevalence of hypertension in a biracial population of urban bus drivers. Am J Publ Health. 1993;82:984–989
  17. Maina G, Bovenzi M, Palmas A, Larese FF. Associations between two job stress models and measures of salivary cortisol. Int Arch Occup Environ Health. 2008;82:1141–1150
  18. Dryson EW, Scragg RKR, Metcalf PA, Baker JR. Stress at work: an evaluation of occupational stressors as reported by a multicultural New Zealand workforce. Int J Occup Environ Health. 1996;2:18–25
  19. Rydstedt LW, Johansson G, Evans GW. The human side of the road: improving the working conditions of urban bus drivers. J Occup Health Psychol. 1998;3:161–171
  20. Kales SN, Tsismenakis AJ, Zhang C, Soteriades ES. Blood pressure in firefighters, police officers and other emergency responders. Am J Hypertens. 2009;22:11–20
  21. Siegrist J. Effort-reward imbalance at work and cardiovascular diseases. Int J Occup Med Environ Health. 2010;8:1–7
  22. Karasek R. The Job Content Questionnaire: Users’ Guide. Lowell: University of Massachusetts; 1985;
  23. Cesana G, Ferrario M, Sega R, Milesi C, De Vito G, Mancia G, et al. Job strain and ambulatory blood pressure levels in a population-based employed sample of men from northern Italy. Scand J Work Environ Health. 1996;22:294–305
  24. Siegrist J. Adverse health effects of high-effort/low-reward conditions. J Occup Health Psychol. 1996;1:27–41
  25. Landsbergis P, Theorell T. Measurement of psychosocial workplace exposure variables: self report questionnaires. Occup Med State of the Art Rev. 2000;15:163–189
  26. Choi B, Schnall PL, Yang H, Dobson M, Landsbergis P, Israel L, et al. Psychological working conditions and active leisure-time physical activity in middle-aged US workers. Int J Occup Med Environ Health. 2010;23:1–15
  27. Kristensen TS. Job stress and cardiovascular disease: a theoretic critical review. J Occup Health Psychol. 1996;1:246–260
  28. Pieper C, Lacrolx AZ, Karasek R. The relation of psychosocial dimensions of work with coronary heart disease risk factors: a meta-analysis of five United States data bases. Am J Epidemiol. 1989;129:483–494
  29. Karasek R, Brisson C, Kawakami N, Houtman I, Bongers P, Amick B. The Job Content Questionnaire (JCQ): an instrument for internationally comparative assessments of psychosocial job characteristics. J Occup Health Psychol. 1998;3:322–355
  30. Pickering T. The effects of occupational stress on blood pressure in men and women. Acta Physiol Scand Suppl. 1997;640:125–128
  31. Brisson C. Women, work and cardiovascular disease. In:  Schnall P,  Belkic K,  Landsbergis PA,  Baker D editor. The workplace and cardiovascular disease. Occupational Medicine: State of the Art Reviews. Philadelphia, PA: Hanley and Belfus; 2000;p. 49–57Available at: http://www.workhealth.org/OMSTAR/omoutline.html
  32. Curtis AB, James SA, Raghunathan TE, Alcser KH. Job strain and blood pressure in African Americans: the Pitt County Study. Am J Public Health. 1997;87:1297–1302
  33. Goldstein IB, Shapiro D, Chicz-DeMet A, Guthrie D. Ambulatory blood pressure, heart rate, and neuroendocrine responses in women nurses during work and off work days. Psychosom Med. 1999;61:387–396
  34. Brisson C, Laflamme N, Moisan J, Milot A, Mâsse B, Vézina M. Effect of family responsibilities and job strain on ambulatory blood pressure among white-collar women. Psychosom Med. 1999;61:205–213
  35. Radi S. Job constraints and arterial hypertension: different effects in men and women: the IHPAF II case control study. Occup Environ Med. 2005;62:711–717
  36. Lundberg U. Influence of paid and unpaid work on psychophysiological stress responses of men and women. J Occup Health Psychol. 1996;1:117–130
  37. Schieman S, Whitestone YK, Van Gundy K. The nature of work and the stress of higher status. J Health Soc Behav. 2006;47:242–257
  38. Theorell T, Alfredsson L, Westerholm P, Falck B. Coping with unfair treatment at work—what is the relationship between coping and hypertension in middle-aged men and women? An epidemiological study of working men and women in Stockholm (the WOLF study). Psychother Psychosom. 2000;69:86–94
  39. Peter R, Siegrist J. Chronic work stress, sickness absence, and hypertension in middle managers: general or specific sociological explanations?. Soc Sci Med. 1997;45:1111–1120
  40. Schnall PL, Landsbergis PA, Pickering TG, Schwartz JE. Perceived job stress, job strain, and hypertension. Am J Publ Health. 1994;84:320–321(letter)
  41. Steptoe A, Marmot M. Socioeconomic status and coronary heart disease—a psychobiological perspective. In:  Waite Linda J editors. Aging health and public policy: demographic and economic perspectives, supplement to population and development review. vol. 30:New York: Population Council; 2004;
  42. Landsbergis P, Schnall P, Pickering T, Warren K, Schwartz J. Lower socioeconomic status among men in relation to the association between job strain and blood pressure. Scand J Work Environ Health. 2003;29:206–215
  43. Theorell T, Karasek RA. Current issues related to psychosocial job strain and cardiovascular disease research. J Occup Health Psychol. 1996;1:9–26
  44. Del Arco-Galán lC, Súarez-Fernández C, Gabriel-Sánchez R. What happens to blood pressure when on-call?. Am J Hypertens. 1994;7:396–401
  45. Røvik JO, Tyssen R, Hem E, Gude T, Ekeberg O, Moum T, et al. Job stress in young physicians with an emphasis on the work-home interface: a nine-year, nationwide and longitudinal study of its course and predictors. Ind Health. 2007;45:662–671
  46. Sega R, Cesana G, Costa G, Ferrario M, Bombelli M, Mancia G. Ambulatory blood pressure in air traffic controllers. Am J Hypertens. 1998;11:208–212
  47. Peter R, Alfredsson L, Hammar N, Siegrist J, Theorell T, Westerholm P. High effort, low reward, and cardiovascular risk factors in employed Swedish men and women: baseline results from the WOLF Study. J Epidemiol Community Health. 1998;52:540–547
  48. Ragland DR, Winkleby MA, Schwalbe J, Holman BL, Morse L, Syme SL, et al. Prevalence of hypertension in bus drivers. AAOHN J. 1987;16:208–214
  49. Gobel M, Springer J, Scherff J. Stress and strain of short haul bus drivers: psychophysiology as a design oriented method for analysis. Ergonomics. 1998;41:563–580
  50. Aronsson G, Rissler A. Psychophysiological stress reactions in female and male urban bus drivers. J Occup Health Psychol. 1998;3:122–129
  51. Tse JLM, Flin JR, Mearns K. Facets of job effort in bus driver health: deconstructing ‘effort’ in the Effort-Reward Imbalance model. J Occup Health Psychol. 2007;12:48–62
  52. Biggs H, Dingsdag D, Stenson N. Fatigue factors affecting metropolitan bus drivers: a qualitative investigation. Work. 2009;32:5–10
  53. Griffith J, Steptoe A, Cropley M. An investigation of coping strategies associated with job stress in teachers. Br J Educ Psychol. 1999;69:517–531
  54. Steptoe A, Cropley M. Persistent high job demands and reactivity to mental stress predict future ambulatory blood pressure. J Hypertens. 2000;18:581–586
  55. Kawakami N, Haratani T, Kaneko T, Araki S. Perceived job-stress and blood pressure increase among Japanese blue collar workers: one-year follow-up study. Ind Health. 1989;27:71–81
  56. Vrijkotte TG, van Doornen LJ, de Geus EJ. Effects of work stress on ambulatory blood pressure, heart rate, and heart rate variability. Hypertension. 2000;35:880
  57. Brodsky CM. Long-term work stress in teachers and prison guards. J Occup Med. 1977;19:133–138
  58. Goldberg P, David S, Landre MF, Goldberg M, Dassa S, Fuhrer R. Work conditions and mental health among prison staff in France. Scand J Work Environ Health. 1996;22:45–54
  59. Matthews KA, Cottington EM, Talbott E, Kuller LH, Siegel JM. Stressful work conditions and diastolic blood pressure among blue collar factory workers. Am J Epidemiol. 1987;126:280–291
  60. Chapman A, Mandryk JA, Frommer MS, Edye BV, Ferguson DA. Chronic perceived work stress and blood pressure among Australian government employees. Scand J Work Environ Health. 1990;16:258–269
  61. Theorell T, Perski A, Akerstedt T, Sigala F, Ahlberg-Hultén G, Svensson J, et al. Changes in job strain in relation to changes in physiological state. A longitudinal study. Scand J Work Environ Health. 1988;14:189–196
  62. Brown DE, James GD, Mills PS. Occupational differences in job strain and physiological stress: female nurses and school teachers in Hawaii. Psychosom Med. 2006;68:524–530
  63. Deyanov C, Hadjiolova I, Mincheva L. Prevalence of arterial hypertension among school teachers in Sofia. Rev Environ Health. 1994;10:47–50
  64. Fielden SL, Cooper CL. Women managers and stress: a critical analysis. Equal Opportunities Int. 2001;20:3–15
  65. Guimont C, Brisson C, Dagenais GR, Milot A, Vézina M, Mâsse B, et al. Effects of job strain on blood pressure: a prospective study of male and female white-collar workers. Am J Public Health. 2006;96:1436–1443
  66. Carroll D, Smith GD, Sheffield D, Shipley MJ, Marmot MG. Pressor reactions to psychological stress and prediction of future blood pressure: data from the Whitehall II study. BMJ. 1995;310:771–775
  67. Sveinsdöttir H, Gunnarsdöttir H, Friethriksdöttir H. Self-assessed occupational health and working environment of female nurses, cabin crew and teachers. Scand J Caring Sci. 2007;21:262–273
  68. Alfredsson L, Hammar N, Fransson E, De Faire U, Hallqvist J, Knutsson A, et al. Job strain and major risk factors for coronary heart disease among employed males and females in a Swedish study on work, lipids and fibrinogen. Scan J Work Environ Health. 2002;28:238–248
  69. Trudel X, Brisson C, Milot A. Job strain and masked hypertension. Psychosom Med. 2010;72:786–793
  70. Belkic K, Schnall P, Landsbergis P, Baker D. The Workplace and Cardiovascular Health: Conclusions and Thoughts for a Future Agenda. Philadelphia Hanley & Belfus, Inc. 2000;
  71. Friedman R, Schwartz JE, Schnall PL, Landsbergis PA, Pieper C, Gerin W, et al. Psychological variables in hypertension: relationship to casual or ambulatory blood pressure in men. Psychosomatic Med. 2001;63:19–31
  72. Haugil L, Skogstad A, Hellesey OH. Health, sleep, and mood perceptions reported by airline crews flying short and long hauls. Aviat Space Environ Med. 1994;65:27–34
  73. Runeson R, Lindgren T, Wahlstedt K. Sleep problems and psychosocial work environment among Swedish commercial pilots. Am J Ind Med. 2011;54:545–551
  74. Wirth M, Burch J, Violanti J, Burchfiel C, Fekedulegn D, Andrew M, et al. Shiftwork duration and awakening cortisol response among police officers. Chronobiol Int. 2011;28:446–457
  75. Peter R, Alfredsson L, Knutsson A, Siegrist J, Westerholm P. Does a stressful psychosocial work environment mediate the effects of shift work on cardiovascular risk factors?. Scand J Work Environ Health. 1999;25:376–381
  76. Schnall PL, Pieper L, Schwartz JE, Karasek RA, Schlussell Y, Devereux RB, et al. The relationship between ‘job strain’, workplace diastolic blood pressure and left ventricular mass index. JAMA. 1990;263:1929–1935
  77. Schnall PL, Schwartz JE, Landsbergis PA, Warren K, Pickering TG. A longitudinal study of job strain and ambulatory blood pressure: results from a three-year follow-up. Psychosom Med. 1998;60:697–706
  78. In:  Cohen S,  Kessler R,  Underwood Gordon L editor. Measuring Stress. New York: Oxford University Press; 1995;
  79. Markovitz JH, Matthews KA, Whooley M, Lewis CE, Greenlund KJ. Increases in job strain are associated with incident hypertension in the CARDIA study. Ann Behav Med. 2004;28:4–9
  80. Light KC, Brownley KA, Turner JR, Hinderliter AL, Girdler SS, Sherwood A, et al. Job status and high-effort coping influence work blood pressure in women and blacks. Hypertension. 1995;25:554–559
  81. Pickering T. The effects of environmental and lifestyle factors on blood pressure and the intermediary role of the sympathetic nervous system. J Human Hypertens. 1997;11(suppl 1):S9–18
  82. Steptoe A, Siegrist J, Kirschbaum C, Marmot M. Effort–reward imbalance, overcommitment, and measures of cortisol and blood pressure over the working day. Psychosom Med. 2004;66:323–329
  83. Kawakami N, Haratani T. Epidemiology of job stress and health in Japan: review of current evidence and future direction. Ind Health. 1999;37:174–186
  84. Inoue M, Tsurugano S, Nishikitani M, Yano E. Effort-reward imbalance and its association with health among permanent and fixed-term workers. Biopsychosoc Med. 2010;4:16
  85. Hayashi T, Kobayashi Y, Yamaoka K, Yano E. Effect of overtime work on 24-hour ambulatory blood pressure. J Occup Environ Med. 1996;38:1007–1011
  86. Iwasaki K, Takahashi M, Nakata A. Health problems due to long working hours in Japan: working hours, workers’ compensation (Karoshi), and preventive measures. Industr Health. 2006;44:537–540
  87. Tsutsumi A, Kayaba K, Tsutsumi K, Igarashi M Jichi Medical School Cohort Study Group. Association between job strain and prevalence of hypertension: a cross sectional analysis in a Japanese working population with a wide range of occupations: the Jichi Medical School cohort study. Occup Environ Med. 2001;58:367–373
  88. Salavecz G, Chandola T, Pikhart H, Dragano N, Siegrist J, Jöckel KH, et al. Work stress and health in Western European and post-communist countries: an East-West comparison study. J Epidemiol Commun Health. 2010;64:57–62
  89. Tsutsumi A, Iwata N, Watanabe N, de Jonge J, Pikhart H, Fernández-López JA, et al. Application of item response theory to achieve cross-cultural comparability of occupational stress measurement. Int J Methods Psychiatr Res. 2009;18:58–67
  90. Schlussel YR, Schnall PL, Zimbler M, Warren K, Pickering TG. The effect of work environments on blood pressure: evidence from seven New York organizations. J Hypertens. 1990;8:679–685
  91. Schwartz JE, Pieper C, Karasek RA. A procedure for linking psychosocial job characteristic data to health surveys. Am J Public Health. 1988;78:904–909
  92. Greiner B, Krause N, Ragland D, Fisher J. Occupational stressors and hypertension: a multi-method study using observer-based job analysis and self-reports in urban transit operators. Soc Sci Med. 2004;59:1081–1094
  93. Choi B, Bjorner JB, Ostergren PO, Clays E, Houtman I, Punnet L, et al. Cross-language differential item functioning of the job content questionnaire among European countries: the JACE study. Int J Behav Med. 2009;16:136–147
  94. Clays E, Leynen F, De Bacquer D, Kornitzer M, Kittel F, Karasek R, et al. High job strain and ambulatory blood pressure in middle-aged men and women from the Belgian job stress study. J Occup Environ Med. 2007;49:360–367
  95. Polonia J, Santos AR, Garna GM, Barros H. Accuracy of twenty-four-hour ambulatory blood pressure monitoring (night-day values) for the diagnosis of secondary hypertension. J Hypertens. 1995;13(Pt 2):1736j–1741j
  96. Landsbergis PA, Schnall PL, Belkic KL, Schwartz JE, Baker D, Pickering TG. Work conditions and masked (hidden) hypertension—insights into the global epidemic of hypertension. Scand Work Environ Health Suppl. 2008;6:41–51
  97. Landsbergis PA, Schnall PL, Warren K, Pickering TG, Schwartz JE. Association between ambulatory blood pressure and alternative formulations of job strain. Scand J Work Environ Health. 1994;20:349–363
  98. Lindquist TL, Beilin LJ, Knuiman MW. Influence of lifestyle, coping, and job stress on blood pressure in men and women. Hypertension. 1997;29:1–7
  99. Lucini D, Riva S, Pizinelli P, Pagini M. Stress management at the worksite: reversal of symptoms profile and cardiovascular dysregulation. Stress Hypertens. 2007;49:291–297
  100. Rosenthal T, Alter A, Peleg E, Gavish B. Device-guided breathing exercises reduce blood pressure: ambulatory and home measurements. Am J Hypertens. 2001;14:74–76
  101. Kang MG, Koh SB, Cha BS, Park JK, Baik SK, Chang SJ. Job stress and cardiovascular risk factors in male workers. Prev Med. 2005;40:583–588
  102. Murata K, Yano E, Shinozaki T. Cardiovascular dysfunction due to shift work. J Occup Environ Med. 1999;41:748–753
  103. Nomura K, Nakao M, Karita K, Nishikitani M, Yano E. Association between work-related psychological stress and arterial stiffness measured by brachial-ankle pulse-wave velocity in young Japanese males from an information service company. Scand J Work Environ Health. 2005;31:352–359
  104. Otsuka T, Kawada T, Ibuki C, Kusama Y. Relationship between job strain and radial arterial wave reflection in middle-aged male workers. Prev Med. 2009;49:260–264
  105. Prunier-Poulmaire S, Gadbois C, Volkoff S. Combined effects of shift systems and work requirements on customs officers. Scand J Work Environ Health. 1998;24(Suppl 3):134–140
  106. Uchiyama S, Kurasawa T, Sekizawa T, Nakatsuka H. Job strain and risk of CV in treated hypertensive Japanese workers. J Occup Health. 2005;47:102–111

PII: S1933-1711(11)00238-5

doi:10.1016/j.jash.2011.09.002

Journal of the American Society of Hypertension
Volume 6, Issue 1 , Pages 2-22, January 2012