Stress, the physical and/or psychological departure from a person’s stable equilibrium, can result from a large number of stressors, those stimuli that produce stress. For a good general view of stress and the most common job stressors, Levi’s discussion in this chapter of job stress theories is recommended.

In addressing the question of whether job stress can and does affect the epidemiology of cancer, we face limitations: a search of the literature located only one study on actual job stress and cancer in urban bus drivers (Michaels and Zoloth 1991) (and there are only few studies in which the question is considered more generally). We cannot accept the findings of that study, because the authors did not take into account either the effects of high density exhaust fumes or smoking. Further, one cannot carry over the findings from other diseases to cancer because the disease mechanisms are so vastly different.

Nevertheless, it is possible to describe what is known about the connections between more general life stressors and cancer, and further, one might reasonably apply those findings to the job situation. We differentiate relationships of stress to two outcomes: cancer incidence and cancer prognosis. The term incidence evidently means the occurrence of cancer. However, incidence is established either by the doctor’s clinical diagnosis or at autopsy. Since tumour growth is slow—1 to 20 years may elapse from the malignant mutation of one cell to the detection of the tumour mass—incidence studies include both initiation and growth. The second question, whether stress can affect prognosis, can be answered only in studies of cancer patients after diagnosis.

We distinguish cohort studies from case-control studies. This discussion focuses on cohort studies, where a factor of interest, in this case stress, is measured on a cohort of healthy persons, and cancer incidence or mortality is determined after a number of years. For several reasons, little emphasis is given to case-control studies, those which compare reports of stress, either current or before diagnosis, in cancer patients (cases) and persons without cancer (controls). First, one can never be sure that the control group is well-matched to the case group with respect to other factors that can influence the comparison. Secondly, cancer can and does produce physical, psychological and attitudinal changes, mostly negative, that can bias conclusions. Thirdly, these changes are known to result in an increase in the number of reports of stressful events (or of their severity) compared to reports by controls, thus leading to biased conclusions that patients experienced more, or more severe, stressful events than did controls (Watson and Pennebaker 1989).

Stress and Cancer Incidence

Most studies on stress and cancer incidence have been of the case-control sort, and we find a wild mix of results. Because, in varying degrees, these studies have failed to control contaminating factors, we don’t know which ones to trust, and they are ignored here. Among cohort studies, the number of studies showing that persons under greater stress did not experience more cancer than those under lesser stress exceeded by a large margin the number showing the reverse (Fox 1995). The results for several stressed groups are given.

1. Bereaved spouses. In a Finnish study of 95,647 widowed persons their cancer death rate differed by only 3% from the rate of an age-equivalent non-widowed population over a period of five years. A study of causes of death during the 12 years following bereavement in 4,032 widowed persons in the state of Maryland showed no more cancer deaths among the widowed than among those still married—in fact, there were slightly fewer deaths than in the married. In England and Wales, the Office of Population Censuses and Surveys showed little evidence of an increase in cancer incidence after death of a spouse, and only a slight, non-significant increase in cancer mortality.
2. Depressed mood. One study showed, but four studies did not, an excess of cancer mortality in the years following the measurement of a depressed mood (Fox 1989). This must be distinguished from hospitalizable depression, on which no well-controlled large-scale cohort studies have been done, and which clearly involves pathological depression, not applicable to the healthy working population. Even among this group of clinically depressed patients, however, most properly analysed smaller studies show no excess of cancer.
3. A group of 2,020 men, aged 35 to 55, working in an electrical products factory in Chicago, was followed for 17 years after being tested. Those whose highest score on a variety of personality scales was reported on the depressed mood scale showed a cancer death rate 2.3 times that of men whose highest score was not referable to depressed mood. The researcher’s colleague followed the surviving cohort for another three years; the cancer death rate in the whole high-depressed-mood group had dropped to 1.3 times that of the control group. A second study of 6,801 adults in Alameda County, California, showed no excess cancer mortality among those with depressed mood when followed for 17 years. In a third study of 2,501 people with depressed mood in Washington County, Maryland, non-smokers showed no excess cancer mortality over 13 years compared to non-smoking controls, but there was an excess mortality among smokers. The results for smokers were later shown to be wrong, the error arising from a contaminating factor overlooked by the researchers. A fourth study, of 8,932 women at the Kaiser-Permanente Medical Center in Walnut Creek, California showed no excess of deaths due to breast cancer over 11 to 14 years among women with depressed mood at the time of measurement. A fifth study, done on a randomized national sample of 2,586 people in the National Health and Nutrition Examination Survey in the United States, showed no excess of cancer mortality among those showing depressed mood when measured on either of two independent mood scales. The combined findings of studies on 22,351 persons made up of disparate groups weigh heavily against the contrary findings of the one study on 2,020 persons.
4. Other stressors. A study of 4,581 Hawaiian men of Japanese descent found no greater cancer incidence over a period of 10 years among those reporting high levels of stressful life events at the start of the study than those reporting lower levels. A study was carried out on 9,160 soldiers in the US Army who had been prisoners of war in the Pacific and European theatres in the Second World War and in Korea during the Korean conflict. The cancer death rate from 1946 to 1975 was either less than or no different from that found among soldiers matched by combat zone and combat activity who were not prisoners of war. In a study of 9,813 US Army personnel separated from the army during the year 1944 for “psychoneurosis”, a prima facie state of chronic stress, their cancer death rate over the period 1946 to 1969 was compared with that of a matched group not so diagnosed. The psychoneurotics’ rate was no greater than that of matched controls, and was, in fact, slightly lower, although not significantly so.
5. Lowered levels of stress. There is evidence in some studies, but not in others, that higher levels of social support and social connections are associated with less cancer risk in the future. There are so few studies on this topic and the observed differences so unconvincing that the most a prudent reviewer can reasonably do is suggest the possibility of a true relationship. We need more solid evidence than that offered by the contradictory studies that have already been carried out.

Stress and cancer prognosis

This topic is of lesser interest because so few people of working age get cancer. Nevertheless, it ought to be mentioned that while survival differences have been found in some studies with regard to reported pre-diagnosis stress, other studies have shown no differences. One should, in judging these findings, recall the parallel ones showing that not only cancer patients, but also those with other ills, report more past stressful events than well people to a substantial degree because of the psychological changes brought about by the disease itself and, further, by the knowledge that one has the disease. With respect to prognosis, several studies have shown increased survival among those with good social support as against those with less social support. Perhaps more social support produces less stress, and vice versa. As regards both incidence and prognosis, however, the extant studies are at best only suggestive (Fox 1995).

Animal studies

It might be instructive to see what effects stress has had in experiments with animals. The results among well-conducted studies are much clearer, but not decisive. It was found that stressed animals with viral tumours show faster tumour growth and die earlier than unstressed animals. But the reverse is true of non-viral tumours, that is, those produced in the laboratory by chemical carcinogens. For these, stressed animals have fewer tumours and longer survival after the start of cancer than unstressed animals (Justice 1985). In industrial nations, however, only 3 to 4% of human malignancies are viral. All the rest are due to chemical or physical stimuli—smoking, x rays, industrial chemicals, nuclear radiation (e.g., that due to radon), excessive sunlight and so on. Thus, if one were to extrapolate from the findings for animals, one would conclude that stress is beneficial both to cancer incidence and survival. For a number of reasons one should not draw such an inference (Justice 1985; Fox 1981). Results with animals can be used to generate hypotheses relating to data describing humans, but cannot be the basis for conclusions about them.

Conclusion

In view of the variety of stressors that has been examined in the literature—long-term, short-term, more severe, less severe, of many types—and the preponderance of results suggesting little or no effect on later cancer incidence, it is reasonable to suggest that the same results apply in the work situation. As for cancer prognosis, too few studies have been done to draw any conclusions, even tentative ones, about stressors. It is, however, possible that strong social support may decrease incidence a little, and perhaps increase survival.

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There is growing evidence in the occupational health literature that psychosocial work factors may influence the development of musculoskeletal problems, including both low back and upper extremity disorders (Bongers et al. 1993). Psychosocial work factors are defined as aspects of the work environment (such as work roles, work pressure, relationships at work) that can contribute to the experience of stress in individuals (Lim and Carayon 1994; ILO 1986). This paper provides a synopsis of the evidence and underlying mechanisms linking psychosocial work factors and musculoskeletal problems with the emphasis on studies of upper extremity disorders among office workers. Directions for future research are also discussed.

An impressive array of studies from 1985 to 1995 had linked workplace psychosocial factors to upper extremity musculoskeletal problems in the office work environment (see Moon and Sauter 1996 for an extensive review). In the United States, this relationship was first suggested in an exploratory research by the National Institute for Occupational Safety and Health (NIOSH) (Smith et al. 1981). Results of this research indicated that video display unit (VDU) operators who reported less autonomy and role clarity and greater work pressure and management control over their work processes also reported more musculoskeletal problems than their counterparts who did not work with VDUs (Smith et al. 1981).

Recent studies employing more powerful inferential statistical techniques point more strongly to an effect of psychosocial work factors on upper extremity musculoskeletal disorders among office workers. For example, Lim and Carayon (1994) used structural analysis methods to examine the relationship between psychosocial work factors and upper extremity musculoskeletal discomfort in a sample of 129 office workers. Results showed that psychosocial factors such as work pressure, task control and production quotas were important predictors of upper extremity musculoskeletal discomfort, especially in the neck and shoulder regions. Demographic factors (age, gender, tenure with employer, hours of computer use per day) and other confounding factors (self-reports of medical conditions, hobbies and keyboard use outside work) were controlled for in the study and were not related to any of these problems.

Confirmatory findings were reported by Hales et al. (1994) in a NIOSH study of musculoskeletal disorders in 533 tele-communication workers from 3 different metropolitan cities. Two types of musculoskeletal outcomes were investigated: (1) upper extremity musculoskeletal symptoms determined by questionnaire alone; and (2) potential work-related upper extremity musculoskeletal disorders which were determined by physical examination in addition to the questionnaire. Using regression techniques, the study found that factors such as work pressure and little decision-making opportunity were associated both with intensified musculoskeletal symptoms and also with increased physical evidence of disease. Similar relationships have been observed in the industrial environment, but mainly for back pain (Bongers et al. 1993).

Researchers have suggested a variety of mechanisms underlying the relationship between psychosocial factors and musculoskeletal problems (Sauter and Swanson 1996; Smith and Carayon 1996; Lim 1994; Bongers et al. 1993). These mechanisms can be classified into four categories:

1. psychophysiological
2. behavioural
3. physical
4. perceptual.

Psychophysiological mechanisms

It has been demonstrated that individuals subject to stressful psychosocial working conditions also exhibit increased autonomic arousal (e.g., increased catecholomine secretion, increased heart rate and blood pressure, increased muscle tension etc.) (Frankenhaeuser and Gardell 1976). This is a normal and adaptive psychophysiological response which prepares the individual for action. However, prolonged exposure to stress may have a deleterious effect on musculoskeletal function as well as on health in general. For example, stress-related muscle tension may increase the static loading of muscles, thereby accelerating muscle fatigue and associated discomfort (Westgaard and Bjorklund 1987; Grandjean 1986).

Behavioural mechanisms

Individuals who are under stress may alter their work behaviour in a way that increases musculoskeletal strain. For example, psychological stress may result in greater application of force than necessary during typing or other manual tasks, leading to increased wear and tear on the musculoskeletal system.

Physical mechanisms

Psychosocial factors may influence the physical (ergonomic) demands of the job directly. For example, an increase in time pressure is likely to lead to an increase in work pace (i.e., increased repetition) and increased strain. Alternatively, workers who are given more control over their tasks may be able to adjust their tasks in ways that lead to reduced repetitiveness (Lim and Carayon 1994).

Perceptual mechanisms

Sauter and Swanson (1996) suggest that the relationship between biomechanical stressors (e.g., ergonomic factors) and the development of musculoskeletal problems is mediated by perceptual processes which are influenced by workplace psychosocial factors. For example, symptoms might become more evident in dull, routine jobs than in more engrossing tasks which more fully occupy the attention of the worker (Pennebaker and Hall 1982).

Additional research is needed to assess the relative importance of each of these mechanisms and their possible interactions. Further, our understanding of causal relationships between psychosocial work factors and musculoskeletal disorders would benefit from: (1) increased use of longitudinal study designs; (2) improved methods for assessing and disentangling psychosocial and physical exposures; and (3) improved measurement of musculoskeletal outcomes.

Still, the current evidence linking psychosocial factors and musculoskeletal disorders is impressive and suggests that psychosocial interventions probably play an important role in preventing musculoskeletal problems in the workplace. In this regard, several publications (NIOSH 1988; ILO 1986) provide directions for optimizing the psychosocial environment at work. As suggested by Bongers et al. (1993), special attention should be given to providing a supportive work environment, manageable workloads and increased worker autonomy. Positive effects of such variables were evident in a case study by Westin (1990) of the Federal Express Corporation. According to Westin, a programme of work reorganization to provide an “employee-supportive” work environment, improve communications and reduce work and time pressures was associated with minimal evidence of musculoskeletal health problems.

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Carles Muntaner and William W. Eaton

Introduction

Mental illness is one of the chronic outcomes of work stress that inflicts a major social and economic burden on communities (Jenkins and Coney 1992; Miller and Kelman 1992). Two disciplines, psychiatric epidemiology and mental health sociology (Aneshensel, Rutter and Lachenbruch 1991), have studied the effects of psychosocial and organizational factors of work on mental illness. These studies can be classified according to four different theoretical and methodological approaches: (1) studies of only a single occupation; (2) studies of broad occupational categories as indicators of social stratification; (3) comparative studies of occupational categories; and (4) studies of specific psychosocial and organizational risk factors. We review each of these approaches and discuss their implications for research and prevention.

Studies of a Single Occupation

There are numerous studies in which the focus has been a single occupation. Depression has been the focus of interest in recent studies of secretaries (Garrison and Eaton 1992), professionals and managers (Phelan et al. 1991; Bromet et al. 1990), computer workers (Mino et al. 1993), fire-fighters (Guidotti 1992), teachers (Schonfeld 1992), and “maquiladoras” (Guendelman and Silberg 1993). Alcoholism and drug abuse and dependence have been recently related to mortality among bus drivers (Michaels and Zoloth 1991) and to managerial and professional occupations (Bromet et al. 1990). Symptoms of anxiety and depression which are indicative of psychiatric disorder have been found among garment workers, nurses, teachers, social workers, offshore oil industry workers and young physicians (Brisson, Vezina and Vinet 1992; Fith-Cozens 1987; Fletcher 1988; McGrath, Reid and Boore 1989; Parkes 1992). The lack of a comparison group makes it difficult to determine the significance of this type of study.

Studies of Broad Occupational Categories as Indicators of Social Stratification

The use of occupations as indicators of social stratification has a long tradition in mental health research (Liberatos, Link and Kelsey 1988). Workers in unskilled manual jobs and lower-grade civil servants have shown high prevalence rates of minor psychiatric disorders in England (Rodgers 1991; Stansfeld and Marmot 1992). Alcoholism has been found to be prevalent among blue-collar workers in Sweden (Ojesjo 1980) and even more prevalent among managers in Japan (Kawakami et al. 1992). Failure to differentiate conceptually between effects of occupations per se from “lifestyle” factors associated with occupational strata is a serious weakness of this type of study. It is also true that occupation is an indicator of social stratification in a sense different from social class, that is, as the latter implies control over productive assets (Kohn et al. 1990; Muntaner et al. 1994). However, there have not been empirical studies of mental illness using this conceptualization.

Comparative Studies of Occupational Categories

Census categories for occupations constitute a readily available source of information that allows one to explore associations between occupations and mental illness (Eaton et al. 1990). Epidemiological Catchment Area (ECA) study analyses of comprehensive occupational categories have yielded findings of a high prevalence of depression for professional, administrative support and household services occupations (Roberts and Lee 1993). In another major epidemiological study, the Alameda county study, high rates of depression were found among workers in blue-collar occupations (Kaplan et al. 1991). High 12-month prevalence rates of alcohol dependence among workers in the Unites States have been found in craft occupations (15.6%) and labourers (15.2%) among men, and in farming, forestry and fishing occupations (7.5%) and unskilled service occupations (7.2%) among women (Harford et al. 1992). ECA rates of alcohol abuse and dependence yielded high prevalence among transportation, craft and labourer occupations (Roberts and Lee 1993). Workers in the service sector, drivers and unskilled workers showed high rates of alcoholism in a study of the Swedish population (Agren and Romelsjo 1992). Twelve-month prevalence of drug abuse or dependence in the ECA study was higher among farming (6%), craft (4.7%), and operator, transportation and labourer (3.3%) occupations (Roberts and Lee 1993). The ECA analysis of combined prevalence for all psychoactive substance abuse or dependence syndromes (Anthony et al. 1992) yielded higher prevalence rates for construction labourers, carpenters, construction trades as a whole, waiters, waitresses and transportation and moving occupations. In another ECA analysis (Muntaner et al. 1991), as compared to managerial occupations, greater risk of schizophrenia was found among private household workers, while artists and construction trades were found at higher risk of schizophrenia (delusions and hallucinations), according to criterion A of the Diagnostic and Statistics Manual of Mental Disorders (DSM-III) (APA 1980).

Several ECA studies have been conducted with more specific occupational categories. In addition to specifying occupational environments more closely, they adjust for sociodemographic factors which might have led to spurious results in uncontrolled studies. High 12-month prevalence rates of major depression (above the 3 to 5% found in the general population (Robins and Regier 1990), have been reported for data entry keyers and computer equipment operators (13%) and typists, lawyers, special education teachers and counsellors (10%) (Eaton et al. 1990). After adjustment for sociodemographic factors, lawyers, teachers and counsellors had significantly elevated rates when compared to the employed population (Eaton et al. 1990). In a detailed analysis of 104 occupations, construction labourers, skilled construction trades, heavy truck drivers and material movers showed high rates of alcohol abuse or dependence (Mandell et al. 1992).

Comparative studies of occupational categories suffer from the same flaws as social stratification studies. Thus, a problem with occupational categories is that specific risk factors are bound to be missed. In addition, “lifestyle” factors associated with occupational categories remain a potent explanation for results.

Studies of Specific Psychosocial and Organizational Risk Factors

Most studies of work stress and mental illness have been conducted with scales from Karasek’s Demand/Control model (Karasek and Theorell 1990) or with measures derived from the Dictionary of Occupational Titles (DOT) (Cain and Treiman 1981). In spite of the methodological and theoretical differences underlying these systems, they measure similar psychosocial dimensions (control, substantive complexity and job demands) (Muntaner et al. 1993). Job demands have been associated with major depressive disorder among male power-plant workers (Bromet 1988). Occupations involving lack of direction, control or planning have been shown to mediate the relation between socioeconomic status and depression (Link et al. 1993). However, in one study the relationship between low control and depression was not found (Guendelman and Silberg 1993). The number of negative work-related effects, lack of intrinsic job rewards and organizational stressors such as role conflict and ambiguity have also been associated with major depression (Phelan et al. 1991). Heavy alcohol drinking and alcohol-related problems have been linked to working overtime and to lack of intrinsic job rewards among men and to job insecurity among women in Japan (Kawakami et al. 1993), and to high demands and low control among males in the United States (Bromet 1988). Also among US males, high psychological or physical demands and low control were predictive of alcohol abuse or dependence (Crum et al. 1995). In another ECA analysis, high physical demands and low skill discretion were predictive of drug dependence (Muntaner et al. 1995). Physical demands and job hazards were predictors of schizophrenia or delusions or hallucinations in three US studies (Muntaner et al. 1991; Link et al. 1986; Muntaner et al. 1993). Physical demands have also been associated with psychiatric disease in the Swedish population (Lundberg 1991). These investigations have the potential for prevention because specific, potentially malleable risk factors are the focus of study.

Implications for Research and Prevention

Future studies might benefit from studying the demographic and sociological characteristics of workers in order to sharpen their focus on the occupations proper (Mandell et al. 1992). When occupation is considered an indicator of social stratification, adjustment for non-work stressors should be attempted. The effects of chronic exposure to lack of democracy in the workplace need to be investigated (Johnson and Johansson 1991). A major initiative for the prevention of work-related psychological disorders has emphasized improving working conditions, services, research and surveillance (Keita and Sauter 1992; Sauter, Murphy and Hurrell 1990).

While some researchers maintain that job redesign can improve both productivity and workers’ health (Karasek and Theorell 1990), others have argued that a firm’s profit maximization goals and workers’ mental health are in conflict (Phelan et al. 1991; Muntaner and O’Campo 1993; Ralph 1983).

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Burnout is a type of prolonged response to chronic emotional and interpersonal stressors on the job. It has been conceptualized as an individual stress experience embedded in a context of complex social relationships, and it involves the person’s conception of both self and others. As such, it has been an issue of particular concern for human services occupations where: (a) the relationship between providers and recipients is central to the job; and (b) the provision of service, care, treatment or education can be a highly emotional experience. There are several types of occupations that meet these criteria, including health care, social services, mental health, criminal justice and education. Even though these occupations vary in the nature of the contact between providers and recipients, they are similar in having a structured caregiving relationship centred around the recipient’s current problems (psychological, social and/or physical). Not only is the provider’s work on these problems likely to be emotionally charged, but solutions may not be easily forthcoming, thus adding to the frustration and ambiguity of the work situation. The person who works continuously with people under such circumstances is at greater risk from burnout.

The operational definition (and the corresponding research measure) that is most widely used in burnout research is a three-component model in which burnout is conceptualized in terms of emotional exhaustion, depersonalization and reduced personal accomplishment (Maslach 1993; Maslach and Jackson 1981/1986). Emotional exhaustion refers to feelings of being emotionally overextended and depleted of one’s emotional resources. Depersonalization refers to a negative, callous or excessively detached response to the people who are usually the recipients of one’s service or care. Reduced personal accomplishment refers to a decline in one’s feelings of competence and successful achievement in one’s work.

This multidimensional model of burnout has important theoretical and practical implications. It provides a more complete understanding of this form of job stress by locating it within its social context and by identifying the variety of psychological reactions that different workers can experience. Such differential responses may not be simply a function of individual factors (such as personality), but may reflect the differential impact of situational factors on the three burnout dimensions. For example, certain job characteristics may influence the sources of emotional stress (and thus emotional exhaustion), or the resources available to handle the job successfully (and thus personal accomplishment). This multidimensional approach also implies that interventions to reduce burnout should be planned and designed in terms of the particular component of burnout that needs to be addressed. That is, it may be more effective to consider how to reduce the likelihood of emotional exhaustion, or to prevent the tendency to depersonalize, or to enhance one’s sense of accomplishment, rather than to use a more unfocused approach.

Consistent with this social framework, the empirical research on burnout has focused primarily on situational and job factors. Thus, studies have included such variables as relationships on the job (clients, colleagues, supervisors) and at home (family), job satisfaction, role conflict and role ambiguity, job withdrawal (turnover, absenteeism), expectations, workload, type of position and job tenure, institutional policy and so forth. The personal factors that have been studied are most often demographic variables (sex, age, marital status, etc.). In addition, some attention has been given to personality variables, personal health, relations with family and friends (social support at home), and personal values and commitment. In general, job factors are more strongly related to burnout than are biographical or personal factors. In terms of antecedents of burnout, the three factors of role conflict, lack of control or autonomy, and lack of social support on the job, seem to be most important. The effects of burnout are seen most consistently in various forms of job withdrawal and dissatisfaction, with the implication of a deterioration in the quality of care or service provided to clients or patients. Burnout seems to be correlated with various self-reported indices of personal dysfunction, including health problems, increased use of alcohol and drugs, and marital and family conflicts. The level of burnout seems fairly stable over time, underscoring the notion that its nature is more chronic than acute (see Kleiber and Enzmann 1990; Schaufeli, Maslach and Marek 1993 for reviews of the field).

An issue for future research concerns possible diagnostic criteria for burnout. Burnout has often been described in terms of dysphoric symptoms such as exhaustion, fatigue, loss of self-esteem and depression. However, depression is considered to be context-free and pervasive across all situations, whereas burnout is regarded as job-related and situation-specific. Other symptoms include problems in concentration, irritability and negativism, as well as a significant decrease in work performance over a period of several months. It is usually assumed that burnout symptoms manifest themselves in “normal” persons who do not suffer from prior psychopathology or an identifiable organic illness. The implication of these ideas about possible distinctive symptoms of burnout is that burnout could be diagnosed and treated at the individual level.

However, given the evidence for the situational aetiology of burnout, more attention has been given to social, rather than personal, interventions. Social support, particularly from one’s peers, seems to be effective in reducing the risk of burnout. Adequate job training that includes preparation for difficult and stressful work-related situations helps develop people’s sense of self-efficacy and mastery in their work roles. Involvement in a larger community or action-oriented group can also counteract the helplessness and pessimism that are commonly evoked by the absence of long-term solutions to the problems with which the worker is dealing. Accentuating the positive aspects of the job and finding ways to make ordinary tasks more meaningful are additional methods for gaining greater self-efficacy and control.

There is a growing tendency to view burnout as a dynamic process, rather than a static state, and this has important implications for the proposal of developmental models and process measures. The research gains to be expected from this newer perspective should yield increasingly sophisticated knowledge about the experience of burnout, and will enable both individuals and institutions to deal with this social problem more effectively.

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