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In an effort to synthesize the various strands of
commuting stress research, Koslowsky (1995), p. 119
developed a model linking stressor and strain variables.
His model is a sequential one in which a series of stages
provides the pathway of influence from predictor to
outcome variables. The stages are as
follows:
1.
Potential stressors such as time, distance and
traffic congestion (objective impedance)
2.
Perceived stress (subjective
impedance)
3.
Physiological reactions and symptoms of various
types
4.
Emotional and attitudinal strain responses that
are influenced by physiological responses
5.
Job avoidance inclinations by
workers
6.
Behavioral/performance
indicators
Alternatively, this six step sequence can be
described as follows. The stressors of physical impedance
influence subjective impedance which in turn leads to
physiological stress reactions such as increased heart
rate. These physiological responses then influence
emotional strain responses such as mood change, fatigue,
anxiety, depression, and burnout, as well as attitudinal
changes involving decreased job satisfaction.
These strain responses reflect general distress at
work and at home and lead to job avoidance
inclinations such as missing days of work,
arriving late for work, or looking for another job.
Finally, performance on the job is negatively affected to
include chronic medical conditions or increased accident
rates as well as various behavioral changes at work and
at home (Koslowsky et al., 1995).
The model of Koslowsky (1995) is robust enough to explain
the negative effects of long commutes for both work and
home and makes sense of the various streams of research
on commuting. However, there are certain deficiencies in
the model which are worth mentioning. First, the model is
sequential in tracing the lines of influence from
independent variable to dependent variables. While this
has the advantage of being rather parsimonious, it
ignores possible feedback loops which would be more
consistent with stress models of cognitive therapy. While
acknowledgment is given to the reciprocal relationship of
stages three and four in the model, Koslowsky and
colleagues do not carry the reciprocity far enough. For
example, they illustrate their conception of feedback
loops by referring to the common experience of commuters
in which a particularly harrowing experience during the
ride to work (subjective impedance) is translated into
physiological responses such as increased heart rate that
remains elevated long after the person is conscious of
why he or she is anxious. This state of anxiety then
effects attitudes towards the job while at
work.
While this makes sense as far as it goes, their
model limits them from recognizing the obvious
implications of their example for prior stages in their
model. In other words, the increased heart rate of
anxiety responses not only influences stages which are
later in their proposed sequence (e.g., job attitudes),
but also influences subjective impedance, a rather early
stage in the sequential model of predictor and outcome
variables. In fact, the literature they cite suggests
such a feedback loop, at least in the case of women,
whose greater stress reactions to long commutes result in
greater subjective impedance (Novaco et al.,
1991).
Second, even the first stage in their proposed
sequence is potentially affected by emotional symptoms
such as burnout. Objective impedance variables such as
traffic congestion remain objective in so far as baseline
driver skill levels are assumed. The negative effects of
later stages in the sequential model, such as burnout,
can decrease the actual skill level of the driver even if
the assumed potential skill level remains the
same.
Third, the model is inadequate for explaining
potentially complex family effects such as mood changes
in the children at various phases of development. To be
fair, Koslowsky and colleagues intended their model for
use in an organizational research context and so family
effects are confined to the commuter’s home experience as
measured by self-report.
The model could be strengthened by maintaining
the same structure but adding to it a series of multiple
feedback loops. Stages three through six all have
potential for feeding back into stage two (subjective
impedance). Physiological reactions and symptoms (stage
3) may heighten the perceived stress. Emotional and
attitudinal strain responses (stage 4) can also affect
the perception of stress. In other words, the second
traffic jam perceived while one is still distressed over
earlier traffic congestion may create a spiraling effect
for perceived stress. Likewise, job avoidance
inclinations can be both a result of and a cause of
perceived stress, especially if the tendency to avoid
work creates unnecessary time urgency by virtue of
leaving late to begin a morning commute. Finally,
negative behavioral/performance indicators (stage 6) at
work may feed back to the second stage of perceived
stress. A commuter whose performance at work is
suffering, may have less of a sense of the worth of the
commute and thus perceive it to be more of a
strain.
Despite these deficiencies in Koslowsky’s model,
it serves to illustrate the interdomain transfer effects
demonstrated empirically by Novaco and colleagues (1991).
Long commutes have negative home consequences for the
mood of parents at home. Does it effect the young
adolescents of these parents indirectly? In order to
answer this question we must examine more closely the
characteristics of early adolescent
depression.
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