Well l Being

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Stress and well-being 1

Stress and Well-Being at Work

Mark A. Griffin

University of Sheffield

Sharon Clarke

University of Manchester

To appear in S. Zedeck (Ed.). Handbook of Industrial/Organizational Psychology (Volume 3) .

Washington DC: American Psychological Association

August 2009


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STRESS AND W ELL -BEING AT W ORK

INTRODUCTION

Stress is the single most common reason given for absence from work in the UK, and one in

six Americans report they are extremely stressed (HSE, 2008). However, the general notion of

stress at work can be contentious, and the possibility that work causes illness has been received with

varying degrees of skepticism, indifference, and alarm across sectors of modern society. Regulators,

employers, unions, insurers, and health professionals continue to struggle with the meaning and

management of stress in the workplace.

Although there is much diversity across concepts of work stress, a considerable body of

stress-related theory and practice has developed over the past 40 years. Researchers from

psychology, economics, sociology, public health, engineering and medicine represent just some of

the major disciplines that have addressed the nature and consequences of work stress (Ganster &

Schaubroeck, 1991). Within the field of psychology, Beehr and Franz (1987) identified medical,

clinical psychology, engineering psychology, and organizational psychology approaches. This

chapter focuses on research from the field of organizational psychology but draws from multiple

areas where appropriate.

Work stress is not a single event or a specific psychological state. Rather, work stress

describes a general process in which individuals respond to and manage demands to meet multiple

goals over time. A basic distinction between stressors (e.g., excessive workloads) as the primary

drivers of this process, and strains (e.g., anxiety and depression) as its primary outcomes, has

proved useful building a more complete picture of the stress process (e.g., Caplan, Cobb, French,

Harrison, & Pinneau, 1980; Kahn, Wolfe, Quinn, Snoek, & Rosenthal, 1964; Lazarus, 1966;

McGrath, 1976). Stressors describe the demands experienced by individuals and strains capture a


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range of negative outcomes for health and well-being. Nevertheless, most popular writing and many

research studies refer to stress as if it was a single outcome, typically as a shorthand for the strain

experience of feeling stressed.

All theories of stress must grapple with the common observation that although some events

are intrinsically stressful (e.g., experiencing a violent event at work), individuals respond to

stressful events in different ways. At the extreme, the same work environment can be debilitating

and negative for one individual while at the same time it is exciting and challenging for another.

The distinction between stressors and strains has proved useful for addressing this core problem

(Kahn & Byosiere, 1992). A stressor is the perceived demand from the environment and therefore

comprises both external stimuli and the perceptual processes of the individual. Strains are the

psychological, behavioral, and physiological outcomes of this process and include such diverse

responses as anxiety, absenteeism, and illness. Overall, the stressor-strain distinction captures the

elements of a negative transaction between the individual and the environment.

The stressor-strain distinction has proved less useful for articulating how positive and

negative experiences interact in the stress process or for elaborating the way the stress process

unfolds over time. Recent approaches to work stress draw on more fully developed theories of

affect (e.g., Watson, Wiese, Vaidya, & Tellegen, 1999) and give greater attention to systems of

positive psychology (e.g., Seligman & Csikszentmihalyi, 2000) to build better elaborated models of

well-being and the stress process (Folkman, 2008). Time spans have always been important

considerations in models of stress, but most empirical studies have used cross-sectional designs

(Zapf, Dormann, & Frese, 1996). Recently more attention has been paid to research designs that

capture the unfolding transaction between individuals and their work context. For example, models

of recovery incorporate a cyclical process of resource depletion and repair that unfolds from day to


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day and week to week (e.g., Sonnentag & Zijlstra, 2006). Importantly, just as work can have

negative consequences for the health and well-being of individuals, so too can being out of work.

Whilst unemployment may be viewed as a challenge by some people, depending on their personal

agency, it can also be experienced as an extremely stressful experience for others, especially in the

long-term (Fryer, 1986). The stress process associated with unemployment will not be considered

further in this chapter, which focuses on stress related to work (for a review see Fryer, 1998).

The remainder of this chapter is divided into four sections. First, we review seven different

approaches to the stress process, highlighting influential research and theory over the past forty

years. Second, we introduce an integrative framework as a basis for discussing similarities and

differences across the major approaches. The integrated framework also provides a basis for

reviewing the role of time in the stress process and considering implications for different

methodological approaches and research paradigms. Third, we review organizational interventions

to reduce stress and fourth, we conclude with a summary and review some future directions for the

study of the stress process. Excluded from this review are specific sources of work-related stress,

such as international assignments and home-work balance, which are covered elsewhere in this

Handbook (see also Vol. 3, Chapter 23, by Leung and Peterson, on "Managing a Globally

Distributed Workforce: Social and Interpersonal Issues" and Vol. 3, Chapter 14, by Hammer and

Zimmerman, on "Quality of Work Life.")

M AJOR APPROACHES TO THE STRESS PROCESS

Below we review seven different theoretical approaches that have been influential in

shaping understanding of the stress process at work. This coverage is not exhaustive but the

approaches provide an overview of the different issues addressed in the study of stress and illustrate

the different elements of the stress process at work that have been articulated to date.


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The socio-cognitive model

The socio-cognitive or transactional model of stress (Lazarus & Folkman, 1984) emphasizes

the ongoing interaction between the person and the environment. As such, stress is not located in

the person or the environment, but in the relationship between the environment, individuals

appraisals of the environment, and ongoing attempts to cope with issues that arise (Cooper, Dewe,

& O'Driscoll, 2001). The model describes two stages of cognitive appraisal. First, primary

appraisal involves appraisal of potential stressors as threatening and posing some kind of threat to

the individual. Then, secondary appraisal involves the evaluation of coping resources and

alternative responses. If an individual perceives that a situation is threatening, but that he or she has

the ability to cope with it, then strain is not experienced. Indeed, the situation may be perceived as

challenging. Coping has been defined as the thoughts and behaviors used to manage the external

and internal demands of situations that are appraised as stressful and also shapes emotional

responses (Folkman & Moskowitz, 2004, p. 745). A distinction is commonly made between

problem focused coping, which seeks to solve the demands of a stressor, and emotion focused

coping, which helps the individual to feel better about the stressor (Cooper et al., 2001). Strain

arises when an individual appraises the demands of a particular situation as about to exceed

available resources and, therefore, to threaten their well-being, necessitating a change in individual

functioning to restore the imbalance (Lazarus, 1966). The model suggests that the relationship

between the environment and person is ongoing and reciprocal, as it is the interactions between the

two that determine strain. Interactive effects have been researched extensively and these are

discussed in more detail below in the section titled Longer-term dynamics of the stress process.

Stable individual differences, such as personality, and within-person fluctuations in mood

can affect both the appraisal of stressors as threatening and the appraisal of the individuals ability


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to cope. For example, moods have been shown to mediate the link between daily stressors and

same-day job performance (Stewart & Barling, 1996), where subjective perceptions of stress

influence mood which in turn impacts on job performance. This study found that the indirect

influence of subjective stress on job performance (mediated by negative mood, B = -.38) was

considerably stronger than the direct effect of subjective stress on job performance ( B = -.21).

Relatively stable personal factors, such as self-esteem, can also influence individuals appraisals.

Individuals with high self-esteem will be less likely to view a potential stressor as threatening and

more likely to view themselves as able to cope (Rector & Roger, 1996).

The demands-control model

The demands-control (DC) model (Karasek, 1979, 1989; Karasek & Theorell, 1990)

proposes that job demands and job control play the key role in the stressor-strain relationship. Job

demands refer to aspects of the job which require additional or sustained physical, psychological, or

emotional effort (de Jonge & Dormann, 2003); job control, or decision latitude, refers to the degree

of control over decisions concerning the job (Karasek & Theorell, 1990). The model predicts that

excessive job demands increase strain, while high job control mitigates these adverse effects.

Together, these effects constitute the strain hypothesis. Those in active jobs with high demands

and high control should be able to minimize strain by actively managing job demands. The iso-

strain model (Johnson, Hall, & Theorell, 1989) added the role of support, proposing that social

support also buffers the effects of job demands on strain. Iso-strain occurs in jobs characterized by

high demands, low control and low support. Job control and social support are viewed as resources

because both are aspects of the job which can lead to buffering job demands and related efforts

(Schaufeli & Bakker, 2004). Both the strain and the iso-strain hypotheses have received substantial


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support in the literature (van der Doef & Maes, 1999; de Lange, Taris, Kompier, Houtman, &

Bongers, 2003).

The DC model assumes that those in active jobs will take advantage of the high level of

control to actively manage high demands. However, there is research evidence to suggest that there

are individual differences in the way that people react in these situations, such that personal

characteristics moderate the demands-control relationship. Salanova, Peir, and Schaufeli (2002)

found that for those with high self-efficacy, job control buffered the effect of job demands on strain,

but for low self-efficacy individuals, job control acted as an additional stressor, leading to increased

strain ( R2 = .02) Thus, for some individuals high job control can exacerbate, rather than buffer, job

stress in demanding jobs. Parker and Sprigg (1999) found that for those with a highly proactive

personality in a high-control job, as demands increased, job strain decreased ( R2 = .02). However,

for passive employees, there was no demands-control interaction, indicating that strain increased

with demands, regardless of the level of control. Meier, Semmer, Elfering, and Jacobshagen (2008)

found for those with an internal locus of control, the predictions of the DC model were supported

( R2 = .07). However, for those with an external locus of control, high demands had a more negative

effect on strain under conditions of high control (rather than low control). Given the difficulty of

finding a substantial three-way interaction in field studies, an additional contribution of up 3% can

be considered of practical significance. Thus, relatively stable personality characteristics have a

significant influence on the impact of job demands and job control on strain, particularly locus of

control.

The role stress

Roles describe the behavioral patterns and expectations of individuals in complex systems

(Ilgen & Hollenbeck, 1991), and the process through which work roles create the experience of

model


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stress was one of the earliest and most fruitful approaches to work stress (Kahn & Byosiere, 1992).

Kahn et al. (1964) reported the first of a series of studies based at the Institute of Social Research

(ISR) and exploring the nature of role conflict and role ambiguity in the stress process. Role conflict

describes two or more sets of incompatible work demands, whereas role ambiguity describes a lack

of specificity or predictability in role functions and responsibilities (Beehr & Newman, 1978; Kahn

et al., 1964; Katz & Kahn, 1978). Role overload is the third most common form of role stress and is

sometimes viewed as a particular form of role conflict. Role overload is a function of too much

work, time pressures, and a lack of resources to meet commitments and responsibilities (Beehr &

Glazer, 2005). Role conflict and role ambiguity are probably the two most frequently studied

stressors in organizational life (Kahn & Byosiere, 1992). There is substantial support for the role

stress model, with large effect sizes (.43 < r < .48) reported for the effect of role stressors on

measures of affective strain (Jackson & Schuler, 1985; Ortqvist & Wincent, 2006; Sauter, Murphy,

& Hurrell, 1990).

The cybernetic model

Cybernetic models define goals and feedback loops as the central feature of the stress

process (Cummings & Cooper, 1979). Through a feedback cycle, individuals monitor the

discrepancy between a preferred or reference state and the actual work conditions as they are

perceived. The perceived discrepancy is a source of strain for the individual and motivates action to

reduce the discrepancy by changing or adapting to the environment in some way. For example, a

discrepancy between perceived and preferred levels of workload leads to an attempt to reduce the

level of workload or to adapt to this level of load. This coping action is then followed by a new

comparison of the discrepancy between preferred and actual states (Edwards, 1992).


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The feedback cycle assumes that individual behavior is directed toward a steady state of

balance between the individual and the environment. This drive towards homeostasis creates strain

when homeostasis is disrupted, and it motivates the need for engaging in coping activities (Miller,

1965). Edwards (1992) noted that feedback cycles are part of most theories of stress including

transactional and role stress models. However, he argued that the underlying cybernetic principles

had been given insufficient attention in these models of the stress process. The proposed benefits of

the cybernetic approach include a more systematic definition of the components of the feedback

cycle that can be used to identify and explain a wide range of stressors, strains, and coping

responses.

The cybernetic feedback cycle is hierarchically organized so short-term cycles (e.g., a

disruption to work load) are embedded within longer-term cycles (e.g., achieving life goals). For

each cycle, perceived and actual standards provide a comparison point for determining action

(Carver & Scheier, 1990). The source of preferred states or reference criterion derives from

individual factors such as values and personality (Cummings & Cooper, 1998). Both positive and

negative affect can be elicited by the feedback cycle. The cybernetic model often reflects a highly

dynamic situation as individuals are faced with allocating limited resources in terms of time and

attention to managing multiple goals over time. Schmidt and DeShon (2007) found that resource

allocation is affected by both progress towards goals and the consequences of failing to reach goals,

with avoidance goals (avoiding losses) attracting greater resources in the short term. However, in

the longer term, this may be damaging to health and well-being. Carver and Scheier (1990)

conceptualized a second feedback system that played a meta-monitoring function in the evaluation

of goal progress. Affect is proposed to arise as a function of the speed of progress toward goals.

From this perspective, homeostasis is maintained by the hierarchically nested negative feedback


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loop while affect arises from the meta-monitoring of the speed of progress through feedback loops

toward goal attainment.

Although not as well-researched as the previous stress models, the major tenets of the

cybernetic model have received support. The primary prediction of the cybernetic model is that the

discrepancy between a preferred or desired state and actual work conditions will affect strain; as the

discrepancy increases, so too will the adverse effects on well-being. Elsass and Veiga (1997)

operationalized this process by examining the effect of desired goals (in this case, desired control)

over and above the effect of job characteristics (in this case, actual control); they found that desired

control accounted for significant additional variance in job strain, controlling for both job autonomy

( R2 = .04) and desired participation ( R2 = .03). Stronger support was demonstrated where desired

states were operationalized as personal goals (ter Doest, Maes, Gebhardt, & Koelewijn, 2006); with

personal goal facilitation accounting for significant additional variance in four measures of job

strain (job satisfaction, personal accomplishment, emotional exhaustion and psychological

symptoms), controlling for demographics and job characteristics (.05 < R2

< .07).

The challenge-hindrance model

LePine, Podsakoff, and LePine (2005) proposed the challenge-hindrance framework, based

on Lazarus socio-cognitive model, to account for the inconsistent evidence of the relationship

between stressors and performance. Within this framework, stressors may be appraised as either

challenges or hindrances. When stressors are appraised as challenging, positive emotions are

evoked and active coping strategies, such as problem-solving, are engaged. Challenge stressors

include job and role demands, pressure, time urgency, and workload. Drawing on expectancy

theory, LePine et al. (2005) suggest that challenge stressors are associated with high motivation

and, therefore, lead to better performance because individuals are likely to believe that there is a


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positive relationship between effort and expectancy. When stressors are appraised as threatening,

negative emotions ensue and a passive or emotion-focused style of coping is used. These are

described as hindrance stressors and include constraints, hassles, role ambiguity, role and

interpersonal conflict, role overload, supervisor-related stress, and organizational politics. These

stressors are not motivating because effort expended to cope with them is unlikely to be successful

or bring valued rewards.

The model predicts that hindrance and challenge stressors are both subject to the same

psychological process (primary appraisal) and both will result in strain. Indeed, LePine et al.

(2005) found that there is some degree of overlap between these types of stressor ( r = .33), perhaps

due to the similarity in some of the stressors, e.g., role overload (hindrance) and role demands

(challenge). However, whilst both types of stressor are significantly related to strain (hindrance ,

= .50; challenge, = .23) , other outcomes will differ, as challenge stressors are associated with

positive emotions and attitudes (LePine et al, 2005). Research has supported the distinction between

these two types of stressors, and their differential relationship with job satisfaction (Cavanaugh,

Boswell, Roehling, & Boudreau, 2000). Podsakoff, LePine, and LePine (2007) showed strong

support for the differential relationships between hindrance stressors and job satisfaction ( = -.57)

compared to challenge stressors and job satisfaction ( = -.02). A similar differential relationship

has also been demonstrated with role-based performance (Wallace, Edwards, Arnold, Frazier, &

Finch, 2009). This framework de-emphasizes the need for individual difference explanations as it

assumes a degree of consistency in the perception of stressors, i.e., some will be consistently

appraised as challenging, whilst others will be consistently appraised as hindrances. However,

despite some supporting evidence (LePine et al, 2005; Podsakoff et al, 2007; Wallace et al, 2009),

this model is inconsistent with a substantial body of research that has emphasized the moderating


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effect of personality, and other individual difference variables, on how individuals appraise

stressors (see section titled Individual differences below).

The conservation of resources model

The Conservation of Resources (COR) approach to stress proposes that people

fundamentally seek to obtain, retain, protect, and restore resources. Resources describe a wide range

of objects (e.g., shelter), personal characteristics (e.g., self-esteem), conditions (e.g., status), or

energies (e.g., knowledge) that are important for adaptive functioning (Hobfoll, 1989). Resources

are valued in their own right or because they lead to other valued resources. Strain results from the

threat of resource loss, the actual loss of resources, or failure to gain sufficient resources.

Individuals also strive to develop surplus resources, which are the source of higher levels of well-

being. Stressors are generally perceived to be negative because they deplete resources. This was

supported by Lee & Ashforth's (1996) meta-analysis which found that five of eight work demands

were strongly related to affective strain ( r >.50).

COR proposes that the main motivational process in stress is preventing the loss of

resources. Losing resources creates strains, and coping responses are enacted with the goal of

protecting and restoring resources. COR has most frequently been studied in relation to burnout (see

next section), and Lee and Ashforth (1996) found support for the basic propositions of COR theory

in their meta-analysis of burnout correlates.

The burnout model

The term burnout has received substantial attention as a distinct dysfunctional outcome of

the stress process for individuals. Burnout research focuses on strain outcomes of the stress process,

in particular the more extreme forms of strain with long term negative consequences for individuals.

Maslach and Jackson (1981) defined three dimensions of burnout: emotional exhaustion,


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depersonalization, and diminished personal accomplishment. Emotional exhaustion describes

feelings of being emotionally overextended, depersonalization refers to cynical and detached

responses to others, and reduced personal accomplishment refers to a decline in efficacy and

feelings of competence and productivity (Maslach, 1998).

Burnout research initially focused on employees working in caregiving and people oriented

roles where high demands arose from working with clients although the approach is widely adopted

in other settings (Cooper et al., 2001). Lee and Ashforth (1996) argued that service providers suffer

strain when their emotional resources are depleted to such an extent that they are no longer able to

meet the demands of interpersonal stressors. Their results supported the link between burnout and a

wide range of individual, job, and organizational stressors.

The three dimensions of burnout are part of a theoretical process whereby exhaustion leads

to actions that distance the individuals from elements of their work that are stressful, resulting in

cynicism and depersonalization. Over time, these actions and withdrawal result in decreased

experiences of efficacy. The causal sequence among dimensions has been controversial and

alternative sequences have been proposed (Golembiewski, Munzenrider, & Carter, 1983), with

some suggesting that personal accomplishment develops somewhat independently of the other two

dimensions (Leiter, 1993). This is supported by meta-analytic findings (Lee & Ashforth, 1996) that

exhaustion and depersonalization are more closely related ( = .64) than personal accomplishment

with exhaustion ( = -.33) or with depersonalization ( = -.36). Exhaustion is the most widely

reported and studied dimension of burnout (Maslach & Leiter, 2008). Lee and Ashforth's (1996)

meta-analysis supports the proposition that exhaustion (mean = .44) and depersonalization (mean

= .33 ) are more strongly related to job stressors than diminished personal accomplishment (mean

= .10) . However, Halbesleben (2006) did not find that social support was a stronger predictor of


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exhaustion as proposed in burnout models, although it acted as a moderator. Evidence linking

burnout to individual difference variables is inconsistent, with the exception of an association

between neuroticism and burnout. Personality traits were found to account for significant

additional variance over and above job stressors ( R2 = .12), but only neuroticism was a significant

predictor of burnout ( = .32) with those who are high in neuroticism more likely to develop the

symptoms of burnout in response to stressors (Zellars, Perrewe, & Hochwarter, 2000).

INTEGRATING FRAMEWORK

There is much overlap in the issues and constructs addressed by different approaches to

stress, and all of the models presented above have some features in common. Overall, there are few

examples where different theoretical approaches result in different predictions (although see

Edwards, 1992 for examples). Rather, the complexity of the stress process means that different

approaches tend to emphasize some features of the process and place less emphasis on others. For

example, role theories of stress emphasize the demands imposed by the environment, transactional

theories emphasize the appraisal of demands, and burnout theories emphasize the responses and

consequences of demands. Although there is substantial support for components of these stress

models, there is also evidence that focusing on a limited number of stressors (such as job demands

and job control) fails to adequately reflect the complexity of the stress-strain relationship (van

Veldhoven, Taris, de Jonge, & Broersen, 2005).

To provide a comprehensive comparison and review of stress models we present an

integrating framework in Figure 1 that summarizes the ongoing transaction between the person and

the situation. The goal of the overall framework is to provide a broad picture of the relationships

between more complex sub-components or facets. For example, overall models such as Beehr


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(2000) and Cox and MacKay (1981) build on specific facet models of stress (Beehr & Newman,

1978; Newman & Beehr, 1979).

Insert Figure 1 about here

The framework highlights two key processes of work stress: a transactional process linking

the person and environment, and a dynamic process that unfolds over time. First, transactional

approaches describe how the individual evaluates and responds to environmental conditions. This

transaction is a feature of many stress models particularly the socio-cognitive model (Lazarus &

Folkman, 1984) and the challenge-hindrance model (LePine et al., 2005) that specify how

environmental features are appraised by individuals; and cybernetic approaches (Edwards &

Cooper, 1990) where the discrepancy between the individuals preferred state and the perceived

environment is the main motivational process. Other approaches emphasize the role of the

environment more directly. Role theory (Kahn & Byosiere, 1992) describes how specific task

conditions can have an impact on strain outcomes, the demands-control model (Karasek, 1989)

focuses on interaction of specific work characteristics, and the conservation of resources approach

(Hobfoll, 1989) emphasizes the way the environment helps build or deplete resources. Despite the

large role played by the environment in models of stress, Daniels (2006) notes that external features

such as job characteristics are typically assessed by individual self-reports that make it difficult to

disentangle environmental conditions from psychological processes such as bias, mood, and social

interaction.

Second, the stress process is dynamic because the transaction between the person and

environment unfolds over time through a process of mutual influence. The figure incorporates this

dynamic by specifying a short term time cycle of ongoing appraisal, goals, and action within a


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longer term cycle of interaction between the individual and the environment. This nesting of

processes recognizes the hierarchical structure of feedback loops in the stress process (Carver &

Scheier, 1990). Stress theories typically incorporate propositions about the temporal ordering of

events, and each major theory described above identifies a primary causal sequence through which

stressors are translated into strains. There is also some attention to stressors that might have long or

short term consequences (Beehr & Franz, 1987). However, the dynamics of mutual influence over

time have proved difficult to specify (Beehr, 2000).

In the following section, we provide a more detailed review of elements that constitute the

longer-term and the shorter-term dynamics of the stress process. We then explore the role of time

for linking short-term and long-term dynamics and conclude this section with a discussion of

methodological implications for studying the stress process.

Longer-term dynamics of the stress

The interaction between the individual and the environment

process

We begin reviewing the specific content of Figure 1 by identifying the relatively longer-

term elements of the person and the environment interaction. We first review studies that inform

main effects of the environment and individual on strain outcomes, then review issues associated

with understanding person-environment interactions.

The environment

The environment creates demands and provides supports in the stress process. The potential

range of environmental factors is vast: almost any event or situation that a person encounters could

be viewed as a source of stress. Most stress models propose that relatively stable job characteristics

such as job demands and control have an impact on workers health and well-being. Generic role

stressors and demands have been found to differ significantly across occupations (Sparks & Cooper,


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1999). In addition, job characteristics specific to particular occupations can be important predictors

of stress outcomes. For example, Cooper, Clarke, and Rowbottom (1999) identified occupational

characteristics within medical specialties that were specifically relevant for anaesthetists.

Alfredsson and Theorell (1983) developed an assessment of the risks posed by objective job

characteristics for myocardial infarction in 118 occupational groups.

In a review of 63 studies, van der Doef and Maes (1999) reported that two-thirds supported

a relationship between job characteristics and psychological well-being and this conclusion has

been supported in reviews of longitudinal studies (de Lange et al., 2003). Overall, the design of

jobs can have a significant impact on a wide range of positive and negative health outcomes

associated with the stress process (Parker, Turner, & Griffin, 2003).

In addition to job characteristics, organization design factors, such as the structure and

climate of the organization, management style, communication, level of consultation and politics,

influence individuals health and well-being. Indeed, a number of studies have found a more

negative effect associated with organizational stressors than stressors more intrinsically related to

the job in occupations including police (Hart, Wearing, & Headey, 1995; Thompson, Kirk-Brown,

& Brown, 2001), ambulance staff (Glendon & Coles, 2001), and teachers (Hart, 1994). For

example, Hart et al (1995) reported that police officers reported higher levels of psychological

distress in relation to organizational hassles (such as administration and paperwork) compared to

operational hassles (such as dealing with victims of crime or facing physical danger).

Sparks, Faragher, and Cooper (2001) identified four sources of stress that have become

increasingly important as employment conditions change: job security; long work hours; control at

work; and, managerial style. In particular, a lack of job security has been found to have detrimental

effects on health and well-being in European (Borg, Kristensen, & Burr, 2000; Domenighetti,


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The home-work interface is a distinct topic in the stress literature and a chapter in this

Handbook reviews home-work issues in more detail (see also Vol. 3, Chapter 14, by Hammer and

Zimmerman, on "Quality of Work Life"). Meta-analyses have explored the antecedents and

consequences of work-family conflict, generally supporting the proposition that work stressors have

an impact on the extent to which work interferes with family (e.g., Byron, 2005). Stressors at work

can also have an impact on the health of the employees family members (Bakker, Demerouti, &

Dollard, 2008).

Physical demands (such as exposure to heat, noise, and toxic substances) have received less

attention than psychological stressors. These demands are sometimes used as a control variable to

estimate the effects of psychological stressors or excluded from consideration as psychological

stressors (e.g., Ganster, 2008). The impact of shift work and work schedules, in contrast, has

received a great deal of attention. Totterdell (2005) provides an extensive review of the impact of

scheduling on factors such as fatigue, disease, and absence. There is widespread agreement that

shift work and long work hours significantly increase the risk of sleep disturbance and fatigue and

also increase the likelihood of some cancers, particularly breast cancer, gastrointestinal disorders

and cardiovascular disease. The increased risk is quite substantial for both breast cancer (50-60%)

and cardiovascular disease (40%) (see Totterdell, 2005, for further discussion).

The role of individual differences

Stable dispositional factors, such as personality, influence the stress-strain process in a

number of different ways, including: exposure to stressors; appraisal and reactivity to stressful

events; consistent use of coping strategies and development of coping style; and, susceptibility to

stress outcomes (Bolger & Zuckerman, 1995; Grant & Langan-Fox, 2006). For example, exposure

to stressors appears to occur more frequently for individuals high in neuroticism because they are


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more likely to view a situation as threatening and to use maladaptive coping techniques

(Hemenover, 2003; McCrae & Costa, 1986). In contrast, those high in extraversion and

conscientiousness are more likely to view potential stressors as a challenge and to adopt problem-

solving coping strategies (Watson & Hubbard, 1996). Research on the interactive effects of

personality traits (Grant & Langan-Fox, 2006) highlighted the role of combinations of neuroticism,

extraversion and conscientiousness specifically that combinations of high neuroticism-high

conscientiousness predicted higher stressor exposure and low neuroticism-high extraversion and/or

high conscientiousness predicted lower stressor exposure. In relation to coping, high extraversion-

high conscientiousness generally predicted higher problem-focused coping and high neuroticism-

low conscientiousness generally predicted lower problem-focused coping. Overall, personality type

explained approximately 8% of the variance in stressor exposure and 11% of the variance in coping.

Low strain was consistently associated with low neuroticism-high extraversion-high

conscientiousness; however, high strain was differentially related to personality type, depending on

the outcome variable (Grant & Langan-Fox, 2006). Physical ill-health was most associated with

impulsive personality types (high extraversion-high neuroticism-low conscientiousness), whereas

job dissatisfaction was most associated with individuals low on all three personality dimensions.

Low agreeableness in combination with high neuroticism was related to job dissatisfaction, but not

physical ill-health; this finding suggests an affective, rather than a physiological, response is typical

for such individuals.

Kahn and Byosiere (1992) argued that locus of control influences how individuals cope with

stress; those with an internal locus of control will engage more actively to cope with stress, and so

display better health outcomes. An internal locus of control is associated with the belief that

outcomes can be controlled and so individuals are more likely to adopt a proactive approach to


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dealing with a negative work environment. Individuals with an internal locus of control are more

likely to prevent the development of stressful conditions and to actively seek out ways of managing

negative situations when they occur. Overall, internals are more likely to perceive work stressors as

manageable and less threatening. For example, Daniels and Guppy (1994) found that job control

moderated the stress-strain relationship, but only for individuals with internal locus of control. Ng,

Sorensen, and Eby (2006) found that internal locus of control was strongly associated with well-

being, including mental well- being ( = .36), physical health ( = .31) and burnout ( = -.27),

predominately through cognitive processes, self-evaluation, motivation, and coping strategies.

Extending locus of control, the concept of core self-evaluation (CSE) reflects an individuals

overall perception of self-worth and is comprised of: locus of control, plus generalized self-efficacy,

and neuroticism (Judge, Erez, Bono, & Thoresen, 2002; Judge, Locke, & Durham, 1997). CSE can

influence the type of jobs that individuals select, the work environments that they experience and

their perceptions of the environment (Dormann, Fay, Zapf, & Frese, 2006). Feeling able to control

ones job situation is a central part of CSE and an important aspect of well-being; feeling in control

will lead to satisfaction regardless of whether that control is actually exercised. Therefore, an

internal locus of control can be more important for job satisfaction than available control. In some

situations, an internal locus of control might lead to less engagement with the external environment

to protect mental resources that otherwise would be depleted (Schnpflug, 1983). There are

circumstances, however, where an internal locus of control may have adverse effects, for example,

an internal locus of control might lead one to expend effort to manage a situation that cannot be

controlled, thus depleting resources (Muraven & Baumeister, 2000).

A wide variety of additional factors have been studied as individual antecedents in the stress

process, or as moderators of the stress process, including negative affectivity, hardiness, Type A


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personality, and optimism (Cooper et al., 2001). We consider individual factors as moderators in

more detail in the next section.

Interactions between the individual and the environment

A defining feature of the stress process is the way individual characteristics interact with

features of the environment. In this section we review various approaches to describing and

analyzing this interaction from the perspective of more stable person and environment features. The

socio-cognitive approach (Lazarus & Folkman, 1984) and the demands-control model of stress

(Karasek & Theorell, 1990) include person-environment interactions as a central part of each

theory. Other approaches incorporate this interaction as an implicit link between core constructs

such as person-environment fit (Edwards & Cooper, 1990) and homeostasis (Hobfoll, 1989).

One complexity associated with assessing an interaction between individuals and

environments is the sheer number of interactions that can be considered. All environmental

demands and resources can potentially interact with all individual differences. A further

methodological complexity is the form of the interaction. In its simplest form, an interaction can be

represented by a multiplicative relationship between two variables so that the effect of one variable

depends on the level of the second variable. Extensive research has assessed this interaction using

concepts of moderation, contingency, and buffering. We reviewed some of these issues in the

discussion of social support above. The DC model incorporates interaction as part of its central

propositions and we review this model next in more detail together with other features of the

person-environment interaction.

Many different forms of interaction between demands and control have been tested

empirically (Van Vegchel, De Jonge, & Landsbergis, 2005). Karasek (1989) proposed that the

interaction could simply reflect the joint effect of demands and control on strain via an additive


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effect, given that multiplicative terms are difficult to detect in practical situations. Van Vegchel et

al. (2005) found that both multiplicative and ratio interaction terms were significant predictors of

strain; both supported the combination of high demands, low control as high strain, but differed on

other conditions. The results were consistent with Warr's (1994) suggestion that relationships

between environmental characteristics, such as job demands, and well-being are non-linear.

The existence of non-linear relationships is problematic for testing interactional effects.

Inconsistencies in the reporting of interaction effects may also be partially explained by the

matching hypothesis (de Jonge & Dormann, 2006), whereby interaction effects are more likely to

be demonstrated when there is a match between the type of stressor, resource and strain. de Jonge

and Dormann (2006) found that interactions were more likely to be supported when there was a

triple match between the stressor, resource and strain. For example, physical resources and physical

stressors were more likely to interact in the prediction of physical outcomes compared to other

outcomes.

A review conducted by de Lange et al. (2003) included only longitudinal studies that met a

high quality standard. They found that of 19 studies reviewed, 8 reported support for the joint

effects of job demands, job control or social support on health outcomes over time.

The basic interaction between demands and control has been extended in a variety of ways.

Three-way interactions have been supported for self-efficacy (Salanova et al., 2002; Schaubroeck &

Merritt, 1997), active coping (de Rijk, Le Blanc, Schaufeli, & De Jonge, 1998), proactive

personality (Cunningham & De La Rosa, 2008; Parker & Sprigg, 1999), information (Jimmieson &

Terry, 1999), and locus of control (Meier et al., 2008). Although the theoretical basis for individual

moderators is elaborated in these studies, an overall framework for selecting substantively different

types of moderators has not been established. It is possible failures to demonstrate interactions


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between demands and control result from a lack of methodological and theoretical sophistication

(Parker et al., 2003). For example, significant interactions have been found when the level of

analysis at which constructs are theorized is matched to the measurement strategies and analyses

(Bliese & Castro, 2000; Morrison, Payne, & Wall, 2003).

In addition to the DC model, other approaches to the stress process either test an interaction

between the person and the environment directly or describe some form of mutual and

interdependent relationship. The concepts of fit and discrepancy are particularly important for

conveying this interdependence in conservation of resources, P-E fit and cybernetic models of

stress.

Cummings and Cooper (1979) provide a comprehensive portrayal of the person-

environment interaction in terms of time, information, and feedback. An underlying feature of

interaction arguments is a drive toward homeostasis, where the individual and environment achieve

a state of equilibrium (Hobfoll, 1989). From this perspective, a stressor is a force disrupting a

system beyond its range of stability, and the stress process involves the actions that achieve a new

state of equilibrium.

It is difficult to assess the unique importance of interactions in the stress process

independent of main effects. Interactions are often reported in relation to multiple main effects, null

effects are often observed, and the proportion of variance explained by interactions is frequently

small. Design, measurement, and statistical artifacts can also bias the size of interaction effects

downwards (Aguinis, Beaty, Boik, & Pierce, 2005). Overall, effect sizes for interactions explaining

between 2% and 5% of strain outcomes appear to have a significant and meaningful impact in the

stress process.


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Longer-term outcomes of the stress

We now look at the final element of the longer-term time cycle in the Figure, the outcomes

of the stress process. Individuals can vary greatly in their response to stressors. For example, a

heavy workload might cause psychological effects in one person, making them anxious, whilst

another might experience physiological symptoms, such as headaches. There are also differences of

the impact of some stressors on health for men and women. For example, long work hours have a

negative effect on health (Sparks et al., 2001) but the risk is greater for women (Starrin, Larsson,

Brenner, Levi, & Petterson, 1990).

process

Various categorizations of longer-term stress outcomes have been proposed but are

generally grouped as psychological, physiological, or behavioral outcomes (Kahn & Byosiere,

1992). Most research has focused on the psychological outcomes of the stress process and the

strongest empirical effects of stressors have been observed in relation to psychological outcomes.

This stronger effect might be inflated because of common method bias resulting from similar

measurement for stressors and strains (Podsakoff, MacKenzie, Lee, & Podsakoff, 2003). It is

possible that experience of one strain can increase vulnerability to other types of strain. For

example, the long-term effects of job dissatisfaction associated with role ambiguity might be

physical ill-health. This causal process would lead to a weaker relationship between stressors and

physical outcomes compared to psychological outcomes.

We now explore the negative outcomes of the stress process and integrate some more

positive features of health and well-being. We review the different categories of outcome in terms

of psychological strain and well-being, physical health, and behavioral outcomes.


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Psychological strain and well-being

Kahn and Byosiere (1992) identified over 40 different measures of psychological strain,

although they noted considerable conceptual overlap among categories. Job dissatisfaction was the

most commonly used measure of strain, and other common measures were anxiety, depression, and

generalized strain. Most research reviews indicate that psychological strains, such as anxiety and

depression, are strong correlates of work-related stressors (Jackson & Schuler, 1985; Jex & Beehr,

1991; Kahn & Byosiere, 1992). Viswesvaran et al (1999) estimated a correlation of .43 between the

general construct of work stressors and the general construct of strain.

In the DC model, the benefits of control and support in buffering against the negative health

effects of high demands, via coping, accumulate over time. Control and support have their buffering

effect by facilitating problem-solving. Over time, consistent use of coping mechanisms leads to a

coping style, a cross-situational consistency in coping. Daniels, Beesley, Cheyne, and Wimalasiri

(2008) found that consistent use of problem-solving coping, enacted through support and control,

led to fewer risky decisions, but could have detrimental effects in the short term. These findings

would support the adjustment model, where strain increases proportionately with increases in the

intensity of the stressor until the individual adjusts to the stressor (Frese and Zapf, 1988).

Although it is clear that the stress process is associated with a wide range of psychological

strains, there has often been limited theoretical justification for the specific strains included in a

particular study (Cooper et al., 2001). The study of burnout is an exception, with the three

dimensions of exhaustion, depersonalization, and lower efficacy derived from theoretical

propositions about the aetiology of symptoms.

Further progress toward a more theoretical description of stress outcomes has been made by

integrating the broader construct of well-being. The typical conceptualization of stress covers only a


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part of the broader domain of well-being (Warr, 2005). Mental health should not be considered

merely as the absence of stress symptoms, but in terms of the presence of active mental health

(Parker et al., 2003). Such a state would have positive indicators, such as competence, mastery,

aspiration and desire for autonomy (Warr, 1994). These indicators encompass the motivational and

behavioral dimensions of well-being as well as its affective nature.

Ryff & Keyes, (1995) developed a six-factor model of wellness: autonomy, environmental

mastery, personal growth, positive relations with others, purpose in life, and self-acceptance. These

aspects of well-being are defined as: a sense of self-determination and the ability to resist social

pressures to think and act in certain ways (autonomy); the capacity to effectively manage ones life

and the surrounding world (environmental mastery); the sense of continued growth and

development as a person as well as openness to new experiences (personal growth); positive regard

for other people, such as a genuine concern about the welfare of others (positive relations with

others); the belief that ones life is purposeful and meaningful and that one has something to live for

(purpose in life); and a positive evaluation of oneself and ones past life (self-acceptance). Warr

(1994) emphasizes the importance not only of these separate dimensions, but also of integrated

functioning that represents the person as a whole. The importance of achieving such a balance is

reflected in the definition of happiness as the balance between positive and negative affect

(Bradburn, 1969).

Models of burnout have also been extended to include engagement dimensions that

represent positive poles of the burnout dimension (Maslach & Leiter, 2008). Positive mental well-

being has been related to work engagement, where engaged workers are defined as those who

have a sense of energetic and effective connection with their work activities and [they] see

themselves as able to deal well with the demands of their job (Schaufeli, Taris, & van Rhenen,


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2008, p. 176). It comprises three aspects: high levels of energy and mental resilience (vigor); a

sense of significance, enthusiasm, inspiration, pride and challenge (dedication); and, being fully

engrossed in work (absorption). The latter element of absorption has also been associated with

workaholism; however, workaholism has been linked with poor well-being (Schaufeli et al., 2008;

Taris, Schaufeli, & Verhoeven, 2005). There is moderate support for a positive relationship

between work engagement and good mental health: Schaufeli & Bakker (2004) found that

emotional exhaustion was negatively correlated with vigor ( r = -.40) and dedication ( r = -.28), but

had little relationship with absorption ( r = -.07). The association with well-being may be explained

by engaged individuals response to highly demanding, but highly resourced jobs. Engaged

workers become engrossed in their work, but perceive work as fun. In contrast, workaholics tend

to work excessively hard in poorly resourced jobs, i.e., those that are highly demanding, but have

poor support (Demerouti, Bakker, de Jonge, Janssen, & Schaufeli, 2001). Thus, motivational

aspects differ: workaholics are driven to work hard, whilst engaged workers are more intrinsically

motivated. However, managing highly demanding jobs over time, even for engaged workers, may

eventually lead to burnout (Schaufeli et al., 2008).

Physical health

Physiological outcomes are studied less often than other outcomes in stress research.

However, there is a substantial body of evidence that the stress process, over time, can have a

significant negative effect on workers physical health and immunity (van der Doef & Maes, 1999;

Segerstrom & Miller, 2004). Whilst acute and time-limited stressors lead to an adaptive response,

chronic stressors result in decreased potential adaptiveness of the immune system over time

(Segerstrom & Miller, 2004). Chandola et al. (2006) assessed data from over 4000 individuals on

four occasions to link work stressors to health outcomes, including a metabolic syndrome


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associated with increased risk of heart disease and Type 2 diabetes. The study found that chronic

work stress substantially increased the likelihood of developing the metabolic syndrome: men were

nearly twice as likely and women over five times more likely to have the metabolic syndrome,

compared to those with no exposure to work stress. Heart rate, blood pressure and catecholamines

have been assessed most often as indicators of physiological functioning. Jones et al. (2007) argue

that one mechanism linking job strain to health is through a range of health behaviors. Those most

studied are alcohol and smoking (e.g., Kouvonen, Kivimaki, Cox, Cox, & Vahtera, 2005). Other

studies have shown that job strain is associated with decreased healthy eating or increased body

mass index (Hellerstedt & Jeffery, 1997; Kouvonen et al., 2005; Lallukka et al., 2004; Tsutsumi et

al., 2003).

Studies investigating health outcomes have not reported consistent findings, although Zapf

et al. (1996) argue that the effect size of the stressor-strain relationship is limited, due to the large

number of potential causative factors influencing health and well-being (including environment,

leisure and family stressors, social class, personality, and health behaviors). Segerstrom (2007)

noted that the most psychologically healthy individuals sometimes have the least robust immune

system, further complicating a straightforward link between long-term stressors and health; for

example, unnecessary energy allocated to the immune system makes less energy available for other

systems. When resources are threatened, it could be adaptive for organisms to direct energy away

from the immune system and toward protecting or restoring resources (Segerstrom, 2007).

Work stress has been associated with a range of musculoskeletal diseases and complaints

(Bongers, de Winter, Kompier, & Hildebrandt, 1993; Carayon, Smith, & Haims, 1999).

Biomechanical processes explain some of the reasons that stressors such as workload might lead to

musculoskeletal complaints. However, psychological processes also play a part in shaping the


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experience of these factors. Authors have proposed that psychological affective strains might

mediate the link between stressors and musculoskeletal complaints (e.g., Kjellberg & Wadman,

2007). The prevalence of office based work and increasing computer use mean that these problems

are likely to increase. Sprigg, Stride, Wall, Holman, and Smith (2007) found that the impact of

workload on musculoskeletal disorders for call centre employees was partially mediated by the

psychological experiences of anxiety and depression.

Behavioral outcomes

Indirectly, a broad domain of behavioral responses has been linked to the stress process. Jex

and Beehr (1991) divide behaviors into those with significance for the organization, including job

performance, turnover and absenteeism; and those with significance to the individual, including use

of alcohol, smoking, substance use and destructive behaviors. Behaviors can be associated with

stressors via a direct relationship (e.g., work overload causes absence from work) or mediated by an

affective state (e.g., work overload causes anxiety, which in turn causes absenteeism).

The experience of transient positive moods has also been linked to enhanced outcomes (Erez

& Isen, 2002; Totterdell, 2000). Tsai, Chen, and Liu (2007) found that positive mood states

predicted task performance. Furthermore, the study showed that positive moods have a lasting

effect on task performance measured three weeks later. This effect may be facilitated through

interpersonal processes, such as helping coworkers whereby an employees positive mood results

in greater engagement in helping coworkers motivated by desire to maintain his or her positive

mood. Positive moods can be contagious as individuals helping behavior encourages positive

moods in coworkers. Walter and Bruch (2008) argue that although most research has considered

positive moods and emotion at the individual level, they may be viewed as collective constructs


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operating at a group level. George (1990) showed that positive group affect is related to

absenteeism and individual well-being.

Proactive work behavior has also been linked to enhanced well-being (Crant, 2000); this

behavior is defined as taking initiative in improving current circumstances; it involves challenging

the status quo rather than passively adapting present conditions (p.436). Examples of proactive

behavior include generating and implementing new ideas and taking the initiative in problem-

solving. Such behavior involves a conscious decision-making process and is affected by the

individuals level of self-efficacy (need to feel in control of a situation) and felt responsibility for

change (motivated to approach initiative and willing to accept responsibility). Parker, Williams,

and Turner (2006) showed that self-efficacy played a significant role in proactive behavior,

highlighting the importance of building employees perceptions of their own capability as a means

of enhancing employee proactivity, and subsequently their well-being.

Response to stressors can include a range of work withdrawal behaviors (R. L. Kahn &

Byosiere, 1992). Darr and Johns (2008) reviewed 153 studies and found positive but small

connections among work strain, illness, and absenteeism, challenging the popular workplace

estimates that introduced this chapter. They estimated that work strain accounts for between six and

29% of the variance in absenteeism. In comparing whether absence was primarily a response to a

noxious workplace or a function of illness, they concluded with tentative support for a partial illness

explanation.

Workplace safety is another potentially important outcome of the stress process. Stress is

considered to be responsible for 60-80% of all workplace accidents (Cooper, Liukkonen, &

Cartwright, 1996), yet there is a lack of research examining accidents as an outcome of

occupational stress. Occupational stress is related to increased accident risk in a variety of working


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environments. For example, job stress was found to be a small but significant predictor of work

accidents ( = .13, p


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Appraisal Processes

First, the appraisal process involves the perception of environmental stimuli. Different

approaches to stress propose categorization processes that describe how features of the environment

are encoded by individuals. In the appraisal process, the environment becomes salient due to events

that occur in relation to histories and propensities of the individual. Many approaches to stress

emphasize appraisal although the conceptualization and measurement of ongoing appraisals is

problematic (Troup & Dewe, 2002).

The socio-cognitive approach places particular emphasis on appraisal of the environment

(e.g., Lazarus & Folkman, 1984). Primary appraisal involves the recognition of a potential stressor

and initial evaluation of whether the stressor presents a loss, threat, or challenge. Although a wide

range of factors can be appraised as stressors, the categorization of a situation as threatening and

uncertain is particularly important.

The socio-cognitive approach to appraisal has been further refined through hindrance-

challenge models of stress (Podsakoff, LePine, & LePine, 2007). The central appraisal process in

this approach is whether a potential stressor is categorized as a challenge or a hindrance. The nature

of the stressor is an important determinant of the categorization. As noted above, many individual

and situational characteristics combine to determine how the environment is categorized, although

the hindrance-challenge approach allows for intrinsic features of environmental demand.

The DC model involves initial appraisal of demands and resources to meet the demands and

implies strain related outcomes are derived when demands exceed resources. Cybernetic models

incorporate appraisal directly with perceptions of discrepancy. Individuals appraise the environment

with reference to internal standards and it is these appraisals that motivate subsequent responses.


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Surprisingly little research has elaborated the appraisal process by integrating development

in social cognition and cognitive psychology. An exception is provided by Daniels, Harris, and

Briner (2004) who identify automatic and controlled information processing pathways through

which the perception of an event is encoded. Recent biological research investigates the relationship

between the appraisal process and cortical activity. For example, appraisal of a stressor with low

controllability is associated with higher cerebral blood flow in the orbitofrontal and prefrontral

cortices, which in turn were related to peripheral autonomic and immune activities (Ohira et al.,

2008).

In summary, most major approaches to stress incorporate some form of cognitive appraisal

involving an evaluation and categorization of environmental features. Central to this evaluation is

the categorization and comparison of resources and demands.

Goal processes

Next, we consider how appraisal of the environment engages the individuals goal systems.

Goals are cognitive representations of desired or undesired states (Austin & Vancouver, 1996).

Goals are distinct from the evaluation of referents and discrepancies described in the appraisal

process because they guide the selection and persistence of further action. Goal processes are

generally considered controlled and intentional, though once established they can be activated

quickly and automatically (Bargh & Ferguson, 2000).

Cybernetic models of stress include goals as a central mechanism (Cummings & Cooper,

1979; Edwards, 1992; Miller, 1965). The goal system comprises a negative feedback loop which

acts to minimize discrepancies between environmental characteristics and relevant reference criteria

(Cummings & Cooper, 1979; Edwards, 1992). The cybernetic approach has been criticized for

failing to capture important features of human goal systems such as forethought and the deliberate


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creation of discrepancies to motivate action (Locke, 1991, 1994). In response, Edwards (1998)

argued that the hierarchical arrangement of feedback loops explains how effort to resolve

discrepancies at lower levels also helps to resolve discrepancies at higher levels. This system

explains the link between short term discrepancies and the striving to longer term value-based

goals. In effect the discrepancy perceived in the appraisal processes, is incorporated into the goals

system of the hierarchical set of discrepancies. Setting standards might also be considered here, as

this activity involves forethought (Edwards, 1998).

Both cybernetic and socio-cognitive theories of stress describe how perceptions of threat

and discrepancy engage goal systems that motivate further action. The socio-cognitive theory of

stress incorporates aspects of this goal process in terms of secondary appraisal. The evaluation of

response options and resources for coping occurs as part of this appraisal. Daniels et al. (2004)

described a cognitive process through which a mental model of work events is built dynamically to

identify and evaluate progress toward goals.

A further elaboration of the goal process is contained in the distinction between approach

and avoidance goals (Elliot, 2006). Based on the dichotomy between pleasure-pain, the approach

and avoidance distinction has been part of human philosophy for hundreds of years, and theories of

stress incorporate the distinction in various ways. For example, primary appraisal in the socio-

cognitive model includes categorization of an event as harmful, beneficial, or neutral (Lazarus &

Folkman, 1984). In recent years, a more fine-grained development of approach and avoidance

motivations has been developed and integrated with the study of affect, cognition, and behavior

(Carver, 2006; Elliot & Thrash, 2002; Higgins, 1997). Approach motivation is the direction of

behavior toward positive stimuli whereas avoidance motivation is behavior directed away from

negative stimuli (Elliot, 2006). Goals provide cognitive representation of an outcome that guides the


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individual toward or away from that outcome (Elliot & Fryer, 2007). This work is important for

extending the study of goals in the stress process in a number of ways.

First, stress research through its focus on negative outcomes is intrinsically concerned with

avoidance goals. However, most stress models incorporate negative feedback or discrepancy

reducing loops (Edwards, 1998). In contrast, the motivational process underlying avoidance

involves discrepancy enlarging loops. Discrepancy enlarging loops differ from discrepancy

reducing loops because the distancing process has no specific direction. That is, a discrepancy

reducing loop helps individuals to home in on a specific goal whereas a discrepancy enlarging loop

simply leads away from the anti-goal. The discrepancy enlarging goal is therefore less directive

(Carver, 2006). In most systems, the enlarging process eventually leads to a positive incentive that

then engages approach motivation. For example, actively avoiding participation in a group with a

negative work climate might bring an individual in contact with a group where the work climate is

positive. Approach goals for the second work group might then guide behavior according to a

discrepancy reduction loop.

Stable individual differences can influence whether approach or avoidance goals are

adopted. For example, Elliot and Thrash (2002, p. 806) described stable temperaments to adopt

either approach or avoidance goals based on networks of biological sensitivities that are

responsible for immediate affective, cognitive, and behavioral propensities in response to

encountered or imagined stimuli. Carver and White (1994) identified differential sensitivity among

individuals to the experience of punishment and rewards. Using Gray's (1994) distinction between

behavioral activation system (BAS) and behavioral inhibition systems (BIS) they found that some

individuals were more sensitive.


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In general, the BIS system serves to protect the individuals by inhibiting behavior that could

result in aversive consequences (Watson et al., 1999). As yet, few studies have applied this

distinction to stress and the work environment. One example is provided by van der Linden, Taris,

Beckers, & Kindt (2007) who found that punishment sensitivity interacted with job characteristics

to predict fatigue at work, where high BIS-individuals with low job control experienced higher

levels of fatigue ( = -.13, p


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example, physiological studies of stress often view increased heart rate as a response to threat with

long term consequences for health, but not as part of the ongoing cycle of appraisal and goals.

Reactive responses have a short life span and should be distinguished from outcomes which

develop over a longer period of time. However, reactive responses may accumulate over time to

lead to longer-term health outcomes. Second, we view more active responses such as coping

behavior that involves directly changing the elements of the dynamic process in either a positive or

negative way.

Reactive response

Affective and physiological outcomes are the most commonly studied reactive responses in

the stress process. Negative affect is a fundamental response to discrepancy (Edwards, 1998),

mismatch (French, Caplan, & Harrison, 1982), and imbalance (Siegrist, 1996). Although this

negative affect provides the broad motivational basis for addressing this lack of fit, its role is non-

specific. The quality of affect is determined not only by the size of the gap between actual and

desired states, but by the rate of progress towards goals (Carver & Scheier, 1990).

Different affective responses have been proposed for the pursuit of approach or avoidance

goals (Carver, 2006). Carver and White (1994) found differences in individual sensitivity to

activation or inhibition systems were related differentially to the experience of emotion in situations

of threat or reward. For example, people higher in BIS sensitivity showed higher levels of anxiety

in response to threat.

Short term physiological responses within the stress process encompass changes in the

endocrine, immune, cardiovascular, and musculoskeletal system. In the work context, most interest

in physiological systems has focused on how that activation or suppression of these systems leads to

long term negative outcomes such as disease or injury (see next section). Sonnentag and Fritz


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(2006) conducted an extensive review of research linking acute and chronic stressors to

catecholamines (adrenaline and noradrenaline) and cortisol. Acute stressors were most commonly

studied in laboratory settings and were clearly related to an increase in adrenaline levels. Tasks that

posed social-evaluative threat and low controllability elicited strongest cortisol response (Dickerson

& Kemeny, 2004). Noradrenaline was more strongly associated with aversive experiences and

demanding tasks. In field studies, workload and control were the most common factors investigated

but results across studies were more variable. In general, more evidence was found for the impact of

acute versus chronic stressors on endocrine responses (Sonnentag & Fritz, 2006).

Physiological responses to work have most often been studied as a means to understand the

negative consequences of stressors. However, Heaphy and Dutton (2008) recently called for the

positive physiological consequences of work to receive more attention and be better integrated

within this stream of research.

Active response

Active responses are viewed as actions that change the unfolding pattern of the dynamic

stress process. Here, the concept of coping with stressors is most relevant. Coping is one of the

most common and important responses studied in the stress process (Lazarus & Folkman, 1984).

Coping serves four major functions: approach, avoidance, emotional regulation and reappraisal

(Ferguson & Cox, 1997), although a widely accepted definition of the content and function of

coping responses has proved elusive. However, a distinction between problem focused coping that

seeks to solve the demands of a stressor, emotion focused coping that helps the individual to feel

better about the stressor, and appraisal focused coping that attempts to redefine the stressor, has

been used widely to capture different goals of coping (Cooper et al., 2001).


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Although many studies treat coping as a dispositional response, the concept also informs the

more dynamic aspects of the link between the individual and the environment (Folkman & Lazarus,

1988). From a cybernetic perspective, coping behavior is a process of feedback control (Carver &

Scheier, 1990) and discrepancies increase the intensity of coping efforts (Edwards, 1998). Coping is

complex because it is conceived as both a cause and a consequence of the stress process (Kinicki &

Latack, 1990).

Coping behaviors are initiated as a result of primary and secondary appraisal (Lazarus &

Folkman, 1984). Behavioral responses are important because they involve actions that can directly

influence and change the environment. For example, seeking feedback aids problem solving. On the

other hand, emotion focused responses, such as emotional discharge, have generally been

considered escapist strategies that are not beneficial for the individual in the long term. Folkman

and Moskowitz (2004) identified three types of coping strategy that evoked positive emotions:

positive reappraisal; problem-focused coping; and imbuing ordinary events with positive meaning.

Coping strategies that evoke positive emotions, such as humor, may be particularly effective in

coping with stressful situations that generate negative emotions, such as anxiety and depression.

Those individuals who are more aware of their own emotions may be better able to use such coping

mechanisms.

Affective response can actively influence the dynamic stress process by directly influencing

the categorization process. Daniels et al.'s (2004) model of affect and well-being proposed that

affect influences the cognitive processes by which events are categorized and the mental models

that are constructed to create and pursue goals. Broaden-and-build theory (Fredrickson, 1998)

accounts for the effects of positive emotions in broadening peoples momentary thought-action

repertoires (in contrast to negative emotions which tend to have the opposite effect). The theory


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states that discrete positive emotionsshare the ability to broaden peoples momentary thought-

action repertoires and build their enduring personal resources (Fredrickson, 2001, p.219). The

theory is based on the adaptive role of emotions as triggers for a specific set of behaviors; for

example, experiencing fear leads individuals to make their escape. Most specific actions, however,

are linked to negative emotions; whereas positive emotions lead not to specific actions, but

encourage a broader range of approach behaviors. It is argued that the experience of positive

emotions broadens the scope of attention, cognition and action and leads to the development of

physical, intellectual and social resources over time (Fredrickson, 2001). The building of personal

resources helps individuals to develop psychological resilience when faced with potential stressors

in the future. Furthermore, the enhancement of psychological resilience can lead to improved well-

being over time creating the possibility for an ongoing upwards spiral.

The role of time in the stress

To understand the dynamic features of psychological processes it is necessary to identify

stability and change in constructs, allow for multiple patterns of change over time, and distinguish

recurrent versus ongoing phenomena (Roe, 2008). Neufeld (1999) differentiated five types of time-

dependent systems that researchers have used to describe the stress process: transactional, dynamic,

process like, adaptational, and recursive. Transactional systems are represented by a network of

variables that are closely connected and interdependent, for example reciprocal determinism

(Bandura, 1978); dynamic systems are characterized by variables that interact with each other over

time (e.g., McGrath & Beehr, 1990; Roe, 2008); process like systems are those where the evolution

of variables over time depends on prior continuous change and so remains in a state of flux (e.g.,

Edwards, 1992); adaptational systems are those in which variables respond and adapt to changes in

each other (e.g., Lazarus & Folkman, 1984); finally, recursive systems reflect a dynamic state of

process


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interaction between variables that form a predictable pattern, for example, limit cycles which

reflect a stable oscillation, within a given period and amplitude (Neufeld, 1999). Although time has

always played a role in models of stress, few approaches provide such a detailed distinction

between time frames (Beehr, 2000).

Our framework incorporates time by differentiating a longer-time cycle within which is

nested a shorter-term cycle. The longer-term processes involve changes in fairly stable individual

differences (e.g., personality) and environmental factors (e.g., task structures). The short-term cycle

denotes more variable fluctuations such as the effect of daily work patterns on mood changes

(DeLongis, Folkman, & Lazarus, 1988). In reality, the time frame for the stress process ranges on a

continuum from moment-to-moment appraisals of the environment and coping responses (e.g.,

Sonnentag & Fritz, 2007) to the long term effect of chronic stressors such as heart disease which

might be expressed over periods of years (e.g., Chandola, Brunner, & Marmot, 2006). A review of

45 longitudinal studies identified time lags ranging between 28 days and 12 years with

approximately two thirds providing a theoretical rationale for the particular time lag (de Lange et

al., 2003).

Our framework also indicates a cyclical process whereby strain outcomes have an influence

on stressors over both the short term and longer term. For example, an anxiety response in the work

place can lead to a subsequent experience of stressors by contributing to a more fearful

environment. This form of reciprocal determinism is fundamental to social cognitive processes

(Bandura, 1978) but difficult to establish empirically (Lance, Lautenschlager, Sloan, & Varca,

1989). Kohn and Schooler (1978) conducted a 10-year longitudinal study of the reciprocal effects of

work complexity and intellectual flexibility and demonstrated a pattern of reciprocal relationship

between work and personal characteristics. Frese, Garst, and Fay (2007) identified a reciprocal


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relationship between personal initiative and work characteristics as a positive feedback loop

occurring over a four-year time lag. It seems likely that this reciprocal influence is weaker than the

alternative path from stressors to strains (de Lange et al., 2003). There is fairly strong evidence

from longitudinal studies that work characteristics can influence stress-related outcomes, and some

high quality longitudinal studies investigating reciprocal relationships have failed to identify reverse

causation (Carayon, 1992, 1993).

The process through which short-term responses shape long term outcomes raises both

theoretical and methodological hurdles. Stress theories are generally better suited to explaining how

short-term dynamics are shaped and constrained by the more stable context of person and situation

characteristics (Griffin, 1997). The mechanism through which short-term dynamics shape long-term

dynamics is likely to involve not only the translation of short-term responses into long term health

outcomes, but also result in change for the person and the situation. Frese and Zapf (1988)

described five types of stress exposure models through which short-term dynamics might be

expressed in terms of long term strain outcomes. First, a stress reaction model describes the case

where strain increases proportionately with increases in the intensity of the stressors. This case

describes the implicit, though largely untested assumption, of most stress models that higher

appraisals of stress over time lead to greater strain outcomes.

Second, an accumulation model proposes that accumulation of stressors might only appear

as strains after a certain breaking point and might not disappear when stressors are removed.

Jones, Conner, McMillan, and Ferguson (2007) found that daily fluctuations in job demands and

mood were associated with health-related behaviors such as smoking and caffeine intake which

might result in the later onset of illness.


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Third, a dynamic accumulation model where a person is weakened by exposure to stressors

so that an inner dynamic continues to increase strain even after the stressors are removed.

Brosschot, Pieper, and Thayer (2005) describe a process of perseverative cognition where negative

thoughts and emotions initiated by environmental conditions but prolonged by short-term dynamics

such as worry, rumination, and anticipatory stress.

Fourth an adjustment model which begins as with the stress reaction model but only until

the person adjusts to the

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