1. health and fitness
2. disorders
3. mental disorder
4. panic and anxiety

Exhaustion and lack of psychological detachment from work during off-job time:
Moderator effects of time pressure and leisure experiences
Sabine Sonnentag
University of Mannheim
Hillevi Arbeus
University of Konstanz
Christopher Mahn
University of Konstanz
Charlotte Fritz
Portland State University
Journal of Occupational Health Psychology, 19, 206-216
doi: 10.1037/a0035760
Address for Correspondence:
Sabine Sonnentag
Department of Psychology
School of Social Sciences
University of Mannheim
Schloss Ehrenhof Ost
D-68131 Mannheim
Phone: +49 621 181 2118
Fax: +49 621 181 2119
Email: [email protected]
Exhaustion and lack of detachment 2
Abstract
Lack of psychological detachment from work during off-job time contributes to the increase
in employee exhaustion over time. This study examines the reverse causal path from
exhaustion to lack of psychological detachment, suggesting that this reverse process may
operate within a relatively short time frame. Specifically, we examine if exhaustion predicts a
decrease in psychological detachment from work during off-job time within several weeks.
We propose that time pressure at work intensifies and that positive leisure experiences reduce
this association between exhaustion and the decrease in psychological detachment. We tested
our hypotheses in a short-term prospective study (time lag: 4 weeks) with a sample of 109
employees. Ordinary least square regression analysis indicates that exhaustion predicted a
decrease in psychological detachment from work over the course of four weeks. This decrease
was particularly strong for employees working under time pressure and for employees who
did not engage in pleasurable leisure experiences. Our findings suggest that exhausted
employees find detachment from work increasingly difficult and therefore might suffer from
insufficient recovery – although they need it most. The situation is particularly severe when
exhausted employees face high time pressure and a lack of pleasurable leisure experiences.
Keywords: exhaustion, psychological detachment, time pressure, leisure, longitudinal
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Exhaustion and lack of detachment 3
Exhaustion and lack of psychological detachment from work during off-job time:
Moderator effects of time pressure and leisure experiences
Research has demonstrated that not only job stressors but also experiences during offjob time impact on employee health and well-being (Amstad, Meier, Fasel, Elfering, &
Semmer, 2011; Hecht & Boies, 2009). Employees who are able to unwind and recover from
job stress during off-job hours enjoy a better health and well-being than employees who are
less able to do so (Demerouti, Bakker, Geurts, & Taris, 2009; Sonnentag & Fritz, 2007).
Psychological detachment from work during off-job time (i.e., temporary mental
disengagement from one’s job; Sonnentag & Bayer, 2005) has been identified as one
particularly important recovery experience. Therefore, it is important to better understand the
antecedents of psychological detachment from work during off-job time.
Cross-sectional studies have shown that lack of psychological detachment from work
during off-job time is related to increased levels of burnout, particularly emotional exhaustion
(Fritz, Yankelevich, Zarubin, & Barger, 2010; Siltaloppi, Kinnunen, & Feldt, 2009).
Moreover, prospective research has demonstrated that a lack of psychological detachment
predicts an increase in exhaustion over time (Söderström, Jeding, Ekstedt, Perski, & Akerstedt,
2012; Sonnentag, Binnewies, & Mojza, 2010), suggesting that a lack of psychological
detachment might be one of the causal precursors of exhaustion.
However, an opposite causal path might be possible as well. Specifically, employees
experiencing exhaustion might find it increasingly difficult to psychologically detach from
work during off-job time, for instance because they remain mentally occupied with stressful
job-related matters during off-job hours. This impact of exhaustion on psychological
detachment might be particularly strong under specific conditions, for instance when job
demands (e.g., time pressure) are high and when leisure time does not provide sufficient
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Exhaustion and lack of detachment 4
opportunities for recovery. In this study, we examine this reversed causal path from
exhaustion to poor psychological detachment and explore possible moderators of this process.
Our study makes several contributions to the literature. First, it adds to past research
on employee burnout. Specifically, we propose that exhaustion might not only be regarded as
a consequence of unfavorable working conditions and lack of recovery from work (Crawford,
LePine, & Rich, 2010; Sonnentag et al., 2010). It can also be seen as a state that stimulates
harmful action and thinking patterns that subsequently trigger further depletion processes.
Thus, from a Conversation-of-Resources perspective (Hobfoll, 1998), exhaustion can be seen
as a crucial part of a loss cycle: exhaustion as a state of drained resources might lead to
further resource depletion, which over time might increase exhaustion even further.
Second, our study contributes to the growing number of studies on recovery from
work. While these earlier studies have demonstrated the benefits of recovery (and particularly
of psychological detachment from work; Sonnentag et al., 2010; von Thiele Schwarz, 2011),
the antecedents of beneficial recovery experiences have received less research attention so far.
Thus, still little is known about the individual predictors of psychological detachment. Our
study shows that an individual’s level of exhaustion may make psychological detachment
from work during off-job time increasingly difficult and thereby may prevent an effective
recovery process.
Finally, our study points to possible moderators of the relationship between high
exhaustion and decreased psychological detachment. It specifies situations in which
exhausted employees might be especially at risk of not detaching from work during off-job
time. By identifying such moderators our study identifies possible entry points for
interventions that may help employees who suffer from exhaustion to find ways to mentally
disengage from work while being at home.
It has been argued that the choice of time lags is a particularly challenging issue in
prospective research (Mitchell & James, 2001). Previous studies in occupational health
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Exhaustion and lack of detachment 5
psychology mostly incorporated time lags of several months or more (Sonnentag & Frese,
2012) or followed a daily-survey design with time lags of a few hours within one day
(Sonnentag & Bayer, 2005; Ten Brummelhuis & Bakker, 2012). However, studies examining
time lags of several weeks are relatively rare (e.g., Totterdell, Wood, & Wall, 2006). With our
study, we aim at addressing this paucity of research and chose a time lag of four weeks. A
time lag of four weeks will be particularly suitable to examine the relationship between
exhaustion and change in psychological detachment, for several reasons. First, it is long
enough to capture changes in a person’s experiences that go beyond short-term day-to-day
fluctuations, but is still short enough to reflect relatively small changes in affect and behavior
– as an expression of employees’ effort to deal with the demands at work (Zaheer, Albert, &
Zaheer, 1999). Shorter time-lags may fall short in reliably detecting changes in psychological
detachment because these changes may be masked by day-to-day fluctuations and because for
a limited time, exhausted employees may try to counteract detachment difficulties by
recuperation efforts during the weekend. Over time, however, this effort will not be sufficient
to uphold a healthy “cycle of work and rest” (Zijlstra & Rook, 2008, p. 62) and detachment
levels will decrease. Second, during time lags that are substantially longer than four weeks,
exhausted employees may try to initiate more enduring changes to their situation (LeBlanc,
Hox, Schaufeli, Taris, & Peeters, 2007), might find some temporary relief during vacations
(Westman & Eden, 1996), or might mentally withdraw from their jobs (Bakker, Demerouti,
Verbeke, 2004). Finally, a four-week time lag is advantageous for more practical reasons
because re-occurring monthly obligations and other events in employees’ work and private
lives can be held constant. Taken together, we expect that this time interval reflects the time
during which exhausted employees find it more and more difficult to mentally disengage from
job-related issues during off-job time - before they ultimately may decide to develop turnover
intentions and behavioral signs of withdrawal from their jobs (Taris, Le Blanc, Schaufeli, &
Schreurs, 2005).
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Exhaustion and lack of detachment 6
Exhaustion as a predictor of poor psychological detachment
Exhaustion has been described as the core component of burnout. It is experienced as
„being overextended and depleted of one’s emotional and physical resources“ (Maslach,
Schaufeli, & Leiter, 2001, p. 399). Exhaustion results from the prolonged exposure to high
job demands (Bakker & Demerouti, 2007) and can manifest itself in the emotional, physical,
and cognitive domain (Demerouti, Mostert, & Bakker, 2010). As a component of burnout,
exhaustion results from chronic depletion processes (Shirom, 2003) and is relatively stable
over longer periods of time. For instance, Hall, Dollard, Tuckey, Winefield, and Thompson
(2010) reported a stability of r = .69 over the course of 12 months.
We propose that exhaustion predicts a decrease in psychological detachment from work
over time. Etzion, Eden, and Lapidot (1998) have introduced the concept of psychological
detachment in research on respites and recovery. Psychological detachment refers to
temporary mental disengagement from one’s job during off-job hours. It implies refraining
from job-related thoughts and worries during leisure time. Psychological detachment may be
achieved by refraining from job-related activities (Sonnentag & Bayer, 2005), and by
engaging in activities that require mental presence and that encourage a high involvement in
the activity (Feuerhahn, Sonnentag, & Woll, 2014; Hahn, Binnewies, & Haun, 2012).
Research has shown that psychological detachment from work may change within a few
weeks, for instance when deliberately addressed in an intervention program (Hahn, Binnewies,
Sonnentag, & Mojza, 2011), demonstrating its malleability within a relatively short period of
time.
Traditionally, research has conceptualized a lack of psychological detachment from
work – along with related constructs such as rumination and worry – as a predictor of poor
health and well-being (Sonnentag et al., 2010; Verkuil, Brosschot, Meerman, & Thayer, 2010).
Exhaustion has been mainly seen as a result of enduring stressful working conditions and lack
of resources (Crawford et al., 2010; Demerouti et al., 2001; Halbesleben, 2006). However, the
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Exhaustion and lack of detachment 7
assumption that exhaustion is a predictor of a person’s future thoughts and behaviors has
received less research attention within occupational health psychology. In our study, we
examine this “reverse process” and propose that exhaustion can predict a decrease in
psychological detachment over time.
Exhaustion might lead to a decrease in psychological detachment for several reasons.
First, exhaustion implies a depletion of one’s energetic resources; it is experienced as a lack
of energy and is closely related to feelings of fatigue (Maslach et al., 2001; Shirom, 2003).
When employees are exhausted they feel increasingly overwhelmed by the demands of their
jobs and think that they are unable to meet these demands with the energetic resources they
have available. Therefore, for employees high in exhaustion, job demands are not any longer
challenges they may embrace, but become a source of stress and worry. Second, studies have
shown that exhausted employees report cognitive weariness (Melamed, Ugarten, Shirom,
Kahana, Lerman, & Froom, 1999) and more failures with respect to perception, memory, and
action (van der Linden, Keijsers, Eling, & van Schaijk, 2005; Schmidt, Neubach & Heuer,
2007) resulting in a tendency to show poor job performance (Taris, 2006). These performance
deficits may increase over time because exhausted employees will become less and less able
to invest extra effort in order to compensate for these deficits. As a result, exhausted
employees may increasingly ruminate about their work or try to complete work-related tasks
after hours. For example, they may think more and more about mistakes they have made or
about possible issues that may arise in the future. Third, research has shown that exhaustion is
associated with self-control deficits (Bolton, Harvey, Grawitch, & Barber, 2012; Diestel &
Schmidt, 2011). These self-control deficits imply that exhausted employees are less capable to
actively regulate their thoughts and emotions. For instance, exhausted employees have
problems in directing their attention (van der Linden et al., 2005) what makes it difficult for
them to leave thoughts about their work behind during off-job time. Initially, exhausted
employees might try to counteract such self-control problems by investing extra effort, what
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Exhaustion and lack of detachment 8
in turn further depletes their self-control capacity. As a consequence psychological
detachment from work will further decrease.
Taken together, findings on exhaustion, depletion of energetic resources, and
associated performance problems imply that, over time, exhausted employees will become
less able to mentally detach from work during off-job time. In addition, because their selfcontrol is impaired they will become less successful in influencing their thoughts during
leisure time.
Thus, while in a process that unfolds over years, exhaustion may lead to
disengagement from the demands of work (Lee & Ashforth, 1996), within shorter time
periods, exhausted employees might still want to remain engaged, but in fact will be less able
to mentally detach from work during off-job time. Therefore, we propose the following
hypothesis:
Hypothesis 1. Exhaustion predicts a decrease in psychological detachment from work
during off-job time over several weeks.
Time Pressure and Pleasurable Leisure Experiences as Moderators
We propose that both work-related and leisure-related factors might impact on the
relationship between exhaustion and decreased psychological detachment. Specifically, time
pressure at work may intensify the relationship between exhaustion and decreased
psychological detachment, whereas pleasurable leisure experiences may reduce it.
Time pressure is a wide-spread job stressor and refers to the experience of having too
much to do in too little time (Major, Klein, Ehrhart, 2002). Research has shown that
employees who work under high time pressure and face high workload find it more difficult
to mentally detach from work during off-job time (Siltaloppi et al, 2009; Sonnentag, Kuttler,
& Fritz, 2010). One explanation for this finding is that time pressure goes along with high
activation (Baer & Oldham, 2006), i.e., an intense physiological and psychological
stimulation, and may persist after the end of the working day, even when the actual time
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Exhaustion and lack of detachment 9
pressure is over. This high level of activation makes it difficult to unwind and to forget about
work during off-job time (Brosschot, Pieper, & Thayer, 2005). Importantly, time pressure
might not only directly impair psychological detachment from work but might also be a
moderator in the relationship between exhaustion and low psychological detachment.
Specifically, time pressure may intensify the relationship between exhaustion and decreased
detachment. Above we have argued that exhausted employees feel that their energetic
resources are not sufficient to deal with the demands of their jobs. This experience should be
particularly strong when workload is high and when employees face time pressure. When
exhausted employees face time pressure, their fear that they will not be able to meet the
demands of their jobs will increase and they will worry even more about work during off-job
time, resulting in a particularly strong decrease in psychological detachment. Thus, we
propose that high time pressure intensifies the relationship between exhaustion and decreased
psychological detachment. However, when time pressure is low, work demands appear to be
more easily manageable and employees will disconnect from work more easily and will think
less about work during off-job time. In this situation, the relationship between exhaustion and
decrease in psychological detachment should be weaker.
Thus, we propose the following hypothesis:
Hypothesis 2. Time pressure moderates the relationship between exhaustion and
decrease in psychological detachment from work during off-job time. At high levels of time
pressure the relationship between exhaustion and decrease in psychological detachment is
stronger than at low levels of time pressure.
Pleasurable experiences during off-job time may impact on the relationship between
exhaustion and decreased psychological detachment. Specifically, we propose that
pleasurable leisure experiences have the potential to buffer the relationship between
exhaustion and decrease in psychological detachment. Pleasurable leisure experiences refer to
the individual perception that the way one spends time off the job is a pleasurable and positive
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Exhaustion and lack of detachment 10
one (cf., Sonnentag & Zijlstra, 2006). This perception originates from engaging in activities
that one enjoys doing and that are associated with positive affective states. Empirically, it has
been shown that pleasure during off-job time predicts a decrease in fatigue and an increase in
vigor (van Hooff, Geurts, Beckers, & Kompier, 2011).
We propose that pleasurable leisure experiences are important for exhausted
employees in that they may help them mentally disengage from work during off-job time. We
have argued that exhaustion is related to a decrease in psychological detachment from work;
exhausted employees find it increasingly difficult to mentally detach from work because work
becomes less manageable for them and because self-control deficits make it increasingly
difficult to stop thinking about work. However, when exhausted employees have pleasurable
experiences during leisure time they may be more successful in psychologically detaching
from work. Pleasurable leisure experiences are by definition experiences with positive
valence that may result from enjoyable activities. Pursuing an enjoyable activity may make it
more likely to get immersed and absorbed in it, which in turn will result in higher levels of
psychological detachment from work (Hahn et al., 2012). Moreover, pleasurable leisure
experiences are associated with positive affective states (Sonnentag & Zijlstra, 2006). Positive
affective states help to restore depleted self-control resources (Tice, Baumeister, Shmueli, &
Muravan, 2007). Thus, being in a positive affective state during leisure time will help
exhausted employees to disentangle themselves from unwanted thoughts during off-job time,
thereby increasing psychological detachment from work.
However, when employees do not engage in pleasurable leisure experiences,
exhaustion will be associated with a decrease in psychological detachment from work during
off-job hours. Exhausted employees will be left with their thoughts originating from the
overwhelming work situation. Building on these arguments, we propose Hypothesis 3:
Hypothesis 3. Pleasurable leisure experiences moderate the relationship between
exhaustion and decrease in psychological detachment from work during off-job time. At high
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Exhaustion and lack of detachment 11
levels of pleasurable leisure experiences the negative relationship between emotional
exhaustion and psychological detachment is weaker than at low levels of pleasurable leisure
experiences.
Method
Sample
We recruited study participants employed in a broad range of jobs and working at least
20 hours per week. We recruited potential participants in a variety of organizations mostly in
Southwest Germany. Specifically, we approached local organizations, either via the their
human resource department or via contact persons, and introduced the study at the phone or in
face-to-face meetings. After organizations expressed interest in study participation, we
informed them about the details of data collection. Specifically, we had prepared a one-page
description of the study that could be provided to potential participants, explaining the study
procedure, inclusion criteria, and assuring confidentiality of all responses.
We asked participants to respond to two surveys administered four weeks apart. We
distributed 229 surveys. A total of 161 persons completed the first survey (response rate: 70.3
percent), and a total of 121 persons completed the second survey. On both surveys,
participants reported a self-generated code that allowed us to match the Time 1 and Time 2
surveys from 109 participants, for an effective retention rate of 67.7 percent. We tested if
persons who participated only at Time 1 differed systematically from those participating at
both measurement occasions. These two groups of participants did not differ on any of our
study variables.
Our final sample included 109 employees (60.6 percent women). Mean age was 35.9
years (SD = 9.2). Average professional experience was 14.2 years (SD = 10.2), tenure on the
specific job was 6.8 years (SD = 6.5). Our sample was fairly well educated with 46.2 percent
having completed 2 to 3 years of professional training, 14.2 percent had advanced
professional training, and 34.0 percent had a university degree; a minority in our sample (5.7
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Exhaustion and lack of detachment 12
percent) had no formal professional training. Participants came from a broad range of
occupational backgrounds, including mainly administrative (34.9 percent), technical (15.6
percent), and managerial (11.9 percent) jobs. About one third (37.6 percent) of the sample had
children.
Measures
Table 1 shows the means, standard deviation, and zero-order correlations between
study variables. All items were in German.
Psychological detachment. We assessed our core outcome variable at Time 2 with
four items of the Recovery Experience Questionnaire (Sonnentag & Fritz, 2007). A sample
item is “During non-work time, I forget about work.” Participants responded to the items on a
5-point Likert scale (1 = I fully disagree; 5 = I fully agree). Cronbach’s alpha was .88.
Exhaustion. At Time 1 we measured exhaustion with 7 exhaustion items from the Oldenburg
Burnout Inventory (OLBI; Demerouti, Bakker, Nachreiner, & Schaufeli, 2001). Sample items
are “At my work, I feel increasingly drained emotionally”, “After my work, I usually feel
worn out and weary.” Again, as response format we used a 5-point Likert scale (1 = I fully
disagree; 5 = I fully agree). Cronbach’s alpha was .78.
Time pressure. For assessing time pressure at Time 1 we used the five items from the
Instrument for Stress-Related Job Analysis (Semmer, 1984; Zapf, 1993), a measure that has
been widely used in earlier research (e.g., Garst, Frese, & Fay, 2000). A sample item is “How
often do you face time pressure?”. Participants reported their responses on a 5-point Likert
scale (1 = very rarely or never; 5 = very often). Cronbach’s alpha was .74.
Pleasurable leisure experiences. We measured pleasurable leisure experiences at
Time 1 with four items, beginning with “During my free time…”, “…I pursue activities that
bring me joy”, “… I engage in activities that I like doing”, “… I do things that cheer me up”,
“… I devote myself to enjoyable things”. Participants answered the items on a 5-point Likert
scale (1 = I fully disagree; 5 = I fully agree). Cronbach’s alpha was .87.
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Exhaustion and lack of detachment 13
Control variables. As control variables we assessed psychological detachment at Time
1, work hours, and emotional stability. We included psychological detachment at Time 1 in
order to capture change in psychological detachment potentially due to levels of exhaustion
and its interactions with time pressure and pleasurable leisure experiences. We controlled for
work hours because long work hours might be associated with exhaustion (Shirom, Nirel,
Vinokur, 2010) and poor psychological detachment (Sanz-Vergel, Demerouti, Bakker, &
Moreno-Jiménez, 2011; Siltaloppi et al., 2009). We included emotional stability because
earlier work has shown that low emotional stability – i.e. the tendency to experience negative
emotions such as anger or anxiety - may be related to exhaustion (Alarcon, Eschleman, &
Bowling, 2009) as well as a lack of psychological detachment from work during off-hours
(Kühnel, Sonnentag, & Westman, 2009; Sonnentag et al., 2010).1
Specifically, we assessed psychological detachment at Time 1 with the same four
items as used at Time 2. Cronbach’s alpha was .89. We assessed work hours with a single
item directly asking about the number of hours participants worked per week. We assessed
emotional stability with twelve items of the German version (Borkenau & Ostendorf, 1993) of
the NEO FFI (Costa & McCrae, 1992). Cronbach’s alpha was .84.
Confirmatory factor analyses. To examine if the constructs assessed at Time 1 were
distinct, we computed confirmatory factor analyses. In a model with five factors (exhaustion,
time pressure, pleasurable leisure, psychological detachment, and emotional stability) with all
items loading on their respective factors (χ2 = 763.966, df = 454, (χ2/df ratio = 1.68), all factor
loading were highly significant. Importantly, this 5-factor model fit the data better than the
best-fitting 4-factor model with pleasurable leisure and psychological detachment loading on
one common factor (χ2 = 978.886, df = 458, Δχ2 = 214.92, Δdf = 4, p < .001), the best-fitting
3-factor model with exhaustion, pleasurable leisure, and psychological detachment loading on
one common factor (χ2 = 1233.306, df = 461, Δχ2 = 469.33, Δdf = 7, p < .001), the best-fitting
2-factor model with exhaustion, time pressure pleasurable leisure, and psychological
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Exhaustion and lack of detachment 14
detachment loading on a first, and emotional stability loading on a second factor (χ2 =
1409.535, df = 463, Δχ2 = 645.569, Δdf = 9, p < .001), and a one-factor model (χ2 = 1813.850,
df = 464, Δχ2 = 1049.884, Δdf = 10, p < .001). This analysis demonstrates that the five
measures assessed at Time 1 represent empirically distinct constructs.
Results
Test of Hypotheses
We tested our hypotheses using ordinary least square regression analyses. In Step 1,
we entered emotional stability, work hours, and psychological detachment from work during
off-job time at Time 1 as control variables. Because we controlled for psychological
detachment at Time 1, the other variables entered into the regression model refer to the
prediction of change in psychological detachment at Time 2. In Step 2, we entered exhaustion
at Time 1 as our core predictor variable. In Step 3, we entered the two moderators, time
pressure and pleasurable leisure experiences. In Step 4, we included the interaction terms
between the two moderators and exhaustion.
Table 2 shows the results. From the control variables entered in Step 1 only
psychological detachment at Time 1 was significant. It was a strong positive predictor of
psychological detachment at Time 2, reflecting a substantial stability in employees’ general
tendency to psychologically detach from work during off-job time. Entering exhaustion in
Step 2 contributed to the prediction of psychological detachment at Time 2. Employees who
experienced high levels of exhaustion assessed at Time 1 reported a decrease in psychological
detachment at Time 2; in other words, over the four-week study period their detachment
levels dropped relative to their detachment levels that one would have expected from their
detachment levels at Time 1. This finding provides support for Hypothesis 1. Neither time
pressure nor pleasurable leisure experiences entered in Step 3 were significant predictors of
psychological detachment at Time 2. When entering the interaction terms in Step 4, explained
variance further increased. Both interaction terms were significant. To explore these
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Exhaustion and lack of detachment 15
interaction effects further, we computed simple slope tests using the computational tool
provided by Preacher, Curran, and Bauer (2006). For time pressure as moderator, the simple
slope was negative and significant for high levels of time pressure (+1 SD, β = -0.466; SE =
0.146, t = -3.20, p < .01), but not for low levels of time pressure (-1 SD, β = 0.037; SE = 0.151,
t = 0.24, ns). Thus, when employees had high time pressure at work, exhaustion was
associated with a decrease in psychological detachment over time. However, when time
pressure was low, exhaustion did not predict a change in psychological detachment over time
(Figure 1). This pattern of findings is in line with Hypothesis 2. For pleasurable leisure
experiences as the moderator the opposite pattern emerged: At low levels of pleasurable
leisure experiences (-1 SD), exhaustion was related to a decrease in psychological detachment
over time (β = -0.446; SE = 0.120, t = -3.73, p < .001). At high levels of pleasurable leisure
experiences (+1 SD), exhaustion was not related to a change in psychological detachment (β =
-0.059; SE = 0.089, t = -0.66, ns; Figure 2). Although the direction of the slopes is in line with
the prediction made in Hypothesis 3, the exact pattern does not correspond to the rationale
underlying Hypothesis 3. Employees with low levels of exhaustion and low levels of
pleasurable leisure experiences showed the biggest change in detachment.
Additional Analysis: Test for Reverse Causation
To arrive at a more complete picture about the interrelations between exhaustion and
psychological detachment over the four-week period, we also tested for reverse causation. We
conducted an ordinary least square regression analysis with exhaustion at Time 2 as outcome
variable. Similar to our procedure when testing the hypotheses, we entered emotional stability,
work hours, and exhaustion at Time 1 as control variables in Step 1. In Step 2, we entered
psychological detachment at Time 1 as main predictor variable of interest. To explore the role
time pressure and pleasurable leisure experiences, we entered these two variables in Step 3
and included the interaction terms between time pressure and psychological detachment, and
between pleasurable leisure experiences and psychological detachment in Step 4. As shown in
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Exhaustion and lack of detachment 16
Table 3, exhaustion at Time 1 was a strong predictor of exhaustion at Time 2. Psychological
detachment at Time 1 did not predict exhaustion at Time 2. Neither the main effects of time
pressure and pleasurable leisure experiences nor the interaction terms were significant.
Results remain unchanged in a further analysis when not controlling for emotional stability or
work hours.2
Discussion
Our study showed that exhaustion predicts a decrease in psychological detachment
over the course of four weeks. Employees who felt exhausted reported having a harder time
mentally disengaging from work during off-job time. Time pressure and pleasurable leisure
experiences moderated this association between exhaustion and decrease in psychological
detachment. Exhaustion was related to a decrease in psychological detachment from work
during off-job time when time pressure was high, but not when time pressure was low. Thus,
time pressure can be seen as a factor that increases the risk that employees high in exhaustion
do not benefit sufficiently from their leisure time. Pleasurable leisure experiences showed a
significant interaction effect with exhaustion – albeit the pattern differed from the one we had
expected.
It is important to note that exhaustion predicted change in psychological detachment.
This finding suggests that exhausted employees do not just find it difficult at the very moment
to mentally detach from work during off-job time – as becomes obvious in the concurrent
zero-order correlations. Importantly, exhaustion is associated with a decline in detachment
over time. The tendency of exhausted employees to stay increasingly connected to their work
during off-job time instead of detaching could be seen as a coping attempt (Lazarus &
Folkman, 1984). Not detaching implies to think about work-related issues, for instance trying
to come up with solutions for pressing problems or difficulties. The finding that time pressure
increases the association between exhaustion and decreased psychological detachment is in
line with this interpretation: particularly when time pressure is high, exhausted employees
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Exhaustion and lack of detachment 17
might perceive a necessity to come up with a solution for this stressful situation and will
continue thinking about work as a coping attempt during off-job time.
Our finding that exhaustion predicts a decrease in psychological detachment from
work may appear to contradict findings from other studies that showed a positive association
between exhaustion and withdrawal symptoms such as absenteeism and turnover intentions
(Lee & Ashforth, 1996; Ybema, Smulders, & Bongers, 2010). It might be that exhausted
employees wish to withdraw from their work at the behavioral level as the exhaustion process
proceeds; but nevertheless they are not successful in withdrawing mentally from work during
off-job time. One might even speculate that exhausted employees’ intention to withdraw at
the behavioral level reflects an attempt to gain distance to the demands of work because they
fail in mentally detaching from work during off-job time.
With respect to time pressure, past research has seen time pressure mainly as a
predictor of exhaustion (Bakker & Demerouti, 2007). Our study adds an additional
perspective: When time pressure persists once employees have developed the first exhaustion
symptoms – which may be the case in many work settings – the situation will further
deteriorate: time pressure hinders exhausted employees from mentally detaching from work
during off-job time. However, detachment is important for employee well-being and
performance capacity.
Our study provides new insights into the role of pleasurable leisure experiences.
Whereas earlier research has mainly looked at the main effect of positive and pleasurable
experiences during leisure time (Sonnentag & Zijlstra, 2006; van Hooff et al., 2011), the
present study illustrates an interaction effect between exhaustion and pleasurable leisure
experiences. When employees have pleasurable leisure experiences, exhaustion does not
predict a change in psychological detachment. When employees lack pleasurable leisure
experiences, exhaustion and change in psychological detachment were negatively related. The
pattern of this interaction effect is interesting: as predicted, when exhausted employees do not
!
Exhaustion and lack of detachment 18
experience pleasurable leisure, psychological detachment decreases. However, when
employees with low exhaustion levels do not experience pleasurable leisure, psychological
detachment increases. Not experiencing pleasurable leisure might be an indicator of
experiencing social conflicts at home or of facing financial problems. Social conflicts and
financial problems might distract from one’s job and thereby increase psychological
detachment in employees who are not exhausted because they can focus their attention on the
problematic situation at home that needs to be resolved. Exhausted employees, however, will
be less able to detach from work even when facing problems in the home domain because
they are less able to deliberately direct their attention (van der Linden, et al., 2007).
Our test of reverse relationships indicates that lack of psychological detachment did
not predict change in exhaustion over the course of four weeks. This result is in contrast to
earlier findings with longer time lags that found that lack of psychological detachment
predicted an increase in exhaustion (Sonnentag et al., 2010). In our study, exhaustion was
rather stable over the four-week time period (r = .78). Similarly, using longitudinal data with
multiple time lags of six months, Dunford, Shipp, Boss, Angermeier, and Boss (2012) found
exhaustion to be relatively stable over such a period of time in employees who do not undergo
major job changes. In line with earlier research on burnout (e.g., Hall et al., 2010), these
findings from Dunford and his colleagues suggest that changes in exhaustion develop over
longer periods of time. Therefore, it is no surprise that our study with the rather short time lag
of four weeks did not find a lagged relationship between lack of detachment and increase in
exhaustion, whereas earlier research with a longer time lag did find such a lagged relationship.
Possibly, the speed of the two underlying causal processes that link exhaustion with
psychological detachment (i.e., from exhaustion to a decreased detachment versus from low
detachment to increased exhaustion) differ: Specifically, not detaching from work during offjob time might be a rather short-term reaction to feelings of exhaustion, whereas it takes
longer until lack of detachment translates into higher levels of exhaustion. In terms of
!
Exhaustion and lack of detachment 19
Conservation of Resources Theory (Hobfoll, 1998), this process might reflect a typical loss
cycle: being exhausted leads to poor psychological detachment. Poor psychological
detachment in turn indicates that no full recovery has occurred and resources cannot be
restored. Lack of resources in turn implies that work is experienced as even more demanding,
subsequently resulting in increased levels of exhaustion. It is important to note that several
parts of the loss cycle might operate within different time frames. In addition, it might be that
some parts of the cycle can be influenced more easily than others. For instance, within a
shorter time frame, it might be easier to increase psychological detachment by a deliberate
change in everyday activities (e.g., ten Brummelhuis & Bakker, 2012) than it is to reduce a
person’s level of exhaustion.
Our results further indicated that neither time pressure nor pleasurable leisure
experiences predicted change in psychological detachment over time, although both variables
showed significant concurrent relationships with psychological detachment at both
measurement occasions. Possibly, both, time pressure and lack of pleasurable leisure
experiences have an immediate impact on psychological detachment. For instance, time
pressure during the workday might lead to high levels of activation at night making
psychological detachment difficult. This process might repeat itself over a longer period of
time resulting in an equilibrium-type condition (Mitchell & James, 2001), so that no further
effect of time pressure on psychological detachment can be detected.
Limitations and Directions for Future Research
As most research, our study has some limitations. For example, we used self-reports to
measure our key study variables, stimulating concerns about common method variance
(Podsakoff, MacKenzie, Lee, & Podsakoff, 2003). We addressed those concerns by using a
prospective design that allowed us to separate the assessments of our predictor and outcome
variables. Moreover, we controlled for emotional stability thereby reducing the likelihood that
our findings can be explained by a general response bias. In addition, it has to be noted that
!
Exhaustion and lack of detachment 20
common method bias is more of a threat when testing main effects as opposed to interaction
effects (Siemsen, Roth, & Oliviera, 2010). However, in our study, using self-report measures
leaves an important question unanswered: is it the objective time pressure that moderates the
relationship between exhaustion and low psychological detachment or is it the perception of
time pressure? It might be that exhausted employees overestimate the amount of time pressure
they are facing because they feel that they do not have enough energy resources to deal with
their demands at work. Although our measure of time pressure aims at minimizing subjective
response bias by asking about the objective situation – and not one’s reaction to it (Semmer,
Grebner, & Elfering, 2004), future studies may want to disentangle the potential influence of
objective stressors and more subjective appraisal processes.
We deliberately choose a relatively short time lag of four weeks for our prospective
analysis. This decision implies that our study is mute about processes they might unfold over
shorter (e.g., two weeks) or longer (e.g., two or three months) periods of time. Future research
may explore this question by systematically varying the time lags between several
measurement occasions in order to identify the time period that best reflects when exhaustion
results in a subsequent decrease in psychological detachment, and low levels of detachment
result in increased levels of exhaustion (cf. Meier & Spector, 2013, for a similar approach).
In our study, we focused on time pressure and pleasurable leisure experiences as two
possible moderators between exhaustion and psychological detachment. It remains an open
question to be addressed in future research if our findings generalize to other job stressors and
if other factors on or off the job might protect exhausted employees from ending in a situation
where they become unable to mentally disengage from work during off-job time. For instance,
a high level of mindfulness might help employees stay mentally focused on the moment once
they leave their workplace at the end of the workday (Hülsheger, Alberts, Feinhold, & Lang,
2013), what in turn might facilitate psychological detachment from work.
!
Exhaustion and lack of detachment 21
When developing our hypotheses we have argued that psychological detachment of
exhausted employees may decrease over time because exhausted employees may ruminate
and worry about work. We have to note, however, that in conceptual terms, lack of
psychological detachment is distinct from worry and rumination - although the concepts are
substantially related (Flaxman, Ménard, Bond, & Kinman, 2012; Querstret & Cropley, 2012).
Future studies may want to explicitly examine worry and rumination as the mechanisms
underlying the relationship between exhaustion and decreased psychological detachment.
Although using a prospective design, our study still sketches only a rather rough
picture about the processes that link exhaustion, time pressure, leisure experiences, and
psychological detachment. Future studies may take a much more fine-grained approach and
assess in detail how exhausted and non-exhausted employees structure their work day,
respond to time pressure, spend their leisure time, and how they think about work when being
on and off the job. To examine these questions, experience sampling or daily diary study
designs would be most appropriate (Fisher & To, 2012; Sonnentag, Binnewies, & Ohly, 2013).
Practical implications
Previous research demonstrated that in the long run employee well-being benefits
from mentally disengaging from work during off-job time (Sonnentag et al., 2010; van Thiele
Schwarz, 2010). Therefore, employees should be encouraged to psychologically detach from
work when off the job. This study showed that employees who are already exhausted fail to
detach from work, particularly when they are facing time pressure at work and when they do
not engage in pleasurable leisure experiences. To increase psychological detachment from
work in exhausted employees, it is important to address time pressure at work and enable
replenishing leisure experiences. With respect to time pressure at work, supervisors may want
to limit the workload and time pressure of employees who are running the risk of becoming
exhausted. For instance, supervisors might want to refrain from assigning time-sensitive tasks
with strict deadlines to exhaustion-prone employees. For this purpose, developing a good
!
Exhaustion and lack of detachment 22
leader-employee relationship is crucial (Thomas & Lankau, 2009). A second – and often more
realistic – approach might be to support employees in dealing with the time pressure they are
actually facing. Such an approach should include several steps, such as addressing appraisal
processes, teaching time-management skills, helping set priorities, and training substantive
skills that help employees complete their work in a more efficient way (e.g., Arthur, Bennett,
Edens, & Bell, 2003; Green & Skinner, 2005).
Pleasurable leisure provided a relative benefit for exhausted employees while it was
less advantageous for non-exhausted employees. Therefore, exhaustion-prone employees
should be encouraged to spend their off-job time in a way that helps them to prevent further
depletion of their scarce energy resources. In addition to pleasurable leisure experiences, rest
and relaxation might be particularly important.
!
Exhaustion and lack of detachment 23
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Exhaustion and lack of detachment 31
Footnote!
1
Researchers have criticized the inclusion of negative affectivity and related
constructs (i.e., low emotional stability) as control variables (Spector & Brannick, 2011). To
rule out that our findings are driven by the fact that we controlled for emotional stability, we
computed our analyses also without emotional stability. Results remain unchanged.
2
In addition, used a structural-equation modeling approach (implemented in
Mplus 6.1) to test if the path from exhaustion at Time 1 to detachment at Time 2 differed
from the path from detachment at Time 1 to exhaustion at Time 2. In this model we specified
the stabilities of detachment and exhaustion explicitly, and included work hours as a control
variable. To keep the model parsimonious, we omitted the moderator variables. A model in
which the paths from exhaustion at Time 1 to detachment at Time 2 and from detachment at
Time 1 to exhaustion at Time 2 were freely estimated showed a good fit (χ2 = 0.192, df = 1,
ns) and the path from exhaustion at Time 1 to detachment at Time 2 was significant, whereas
the path from detachment at Time 1 to exhaustion at Time 2 was not. Overall these findings
mirror the results of the multiple-regression analyses. In a model in which we constrained the
paths from exhaustion at Time 1 to detachment at Time 2 and from detachment at Time 1 to
exhaustion at Time 2 to be equal, model fit decreased (χ2 = 4.757, df = 2, p < .10, Δχ2 = 4.565,
df = 1, p < .05), suggesting that the two paths differ. Overall, these analyses provide no
support for a reverse causation within the time lag of 4 weeks.
!
Exhaustion and lack of detachment 32
Table 1
Means, Standard Deviations, and Zero-Order Correlations between Study Variables
M
1 Work hours
SD
1
2
3
4
5
6
36.07
6.14
2 Emotional stability
3.44
0.63
.17
3 Exhaustion (Time 1)
2.70
0.64
-.05
-.34
4 Exhaustion (Time 2)
2.75
0.58
.01
-.25
.78
5 Time pressure
3.34
0.73
-.09
-.14
.38
.38
6 Pleasurable leisure experiences
3.86
0.60
.40
.08
-.14
-.02
-.01
7 Psychological detachment (Time 1)
3.34
0.83
.06
-.05
-.23
-.19
-.26
.39
8 Psychological detachment (Time 2)
3.29
0.79
-.02
-.02
-.34
-.34
-.29
.22
Note. N = 109. a r ≥ .19 are significant at p < .05. r ≥ .25 are significant at p < .01.
!
7
.73
Exhaustion and lack of detachment 33
Table 2
Results from Hierarchical Regression Analysis Predicting Psychological Detachment from Work
Model 1
Model 2
t
0.41
-0.04
-0.60
-0.04
-0.60
-0.05
-0.73
-1.05
-0.07
-1.01
-0.05
-0.74
-0.04
- 0.68
10.90***
0.68
10.11***
0.69
9.08***
0.68
-0.20
-2.78**
-0.18
-2.39*
-0.36
- 0.68
Time pressure (TP)
-0.06
-0.80
0.60
1.91
Pleasurable leisure (PL)
-0.04
-0.55
-0.67
-2.32*
EX x TP
-1.15
-2.13*
EX x PL
1.02
2.26*
Work hours
Psychological
detachment (Time 1)
t
0.03
-0.07
0.73
Exhaustion (EX)
R²
F
ΔR²
F
0.53
39.69***
0.53
39.69***
Note. N = 109. * p < .05. ** p < .01. *** p < .001.
!
0.54
33.60***
ß
Model 4
ß
Emotional stability
ß
Model 3
t
0.54
22.40***
ß
t
9.35***
0.59
19.20***
0.03
0.01
0.04
7.72**
0.56
4.71*
Exhaustion and lack of detachment 34
Table 3
Results from Hierarchical Regression Analysis Predicting Change in Exhaustion
Model 1
ß
Model 2
t
ß
Model 3
t
ß
Model 4
t
ß
t
Emotional stability
-0.00
-0.07
-0.01
-0.14
-0.01
-0.14
0.01
0.17
Work hours
0.03
0.41
0.03
0.45
0.01
0.02
-0.01
-0.11
Exhaustion (Time 1)
0.78
12.15***
0.77
11.55***
0.75
10.68***
0.76
10.62***
-0.03
-0.47
-0.05
-0.64
-0.46
-0.94
Time pressure (TP)
0.09
1.27
0.00
0.00
Pleasurable leisure (PL)
0.09
1.16
-0.09
-0.44
DT x TP
0.12
0.40
DT x PL
0.42
0.91
Psychological detachment (DT)
R²
F
ΔR²
F
Note. N = 109. *** p < .001.
!
0.61
55.15***
0.61
55.15***
0.61
41.38***
0.63
28.61***
0.63
21.32***
0.00
0.02
0.00
0.22
1.79
0.42
Exhaustion and lack of detachment 35
Figure 1. Interaction effect of exhaustion and time pressure on change in psychological detachment over time.
!
Exhaustion and lack of detachment 36
Figure 2. Interaction effect of exhaustion and pleasurable leisure on change in psychological detachment over time.
!