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Can You Have Your Vigorous Exercise and Enjoy It Too? Ramping Intensity Down Increases Postexercise, Remembered, and Forecasted Pleasure


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There is a paucity of methods for improving the affective experience of exercise. We tested a novel method based on discoveries about the relation between exercise intensity and pleasure, and lessons from behavioral economics. We examined the effect of reversing the slope of pleasure during exercise from negative to positive on pleasure and enjoyment, remembered pleasure, and forecasted pleasure. Forty-six adults were randomly assigned to a 15-min bout of recumbent cycling of either increasing intensity (0%-120% of Watts corresponding to the ventilatory threshold) or decreasing intensity (120%-0%). Ramping intensity down, thereby eliciting a positive slope of pleasure during exercise, improved postexercise pleasure and enjoyment, remembered pleasure, and forecasted pleasure. The slope of pleasure accounted for 35%-46% of the variance in remembered and forecasted pleasure from 15 min to 7 days postexercise. Ramping intensity down makes it possible to combine exposure to vigorous and moderate intensities with a pleasant affective experience.
Content may be subject to copyright.
Journal of Sport & Exercise Psychology, 2016, 38, 149 -159
© 2016 Human Kinetics, Inc.
Zachary Zenko and Panteleimon Ekkekakis are with the
Department of Kinesiology, Iowa State University, Ames, IA.
Dan Ariely is with Duke University, Durham, NC. Address
author correspondence to Panteleimon Ekkekakis at ekkekaki@
Can You Have Your Vigorous Exercise and Enjoy It
Too? Ramping Intensity Down Increases Postexercise,
Remembered, and Forecasted Pleasure
Zachary Zenko,1 Panteleimon Ekkekakis,1 and Dan Ariely2
1Iowa State University; 2Duke University
There is a paucity of methods for improving the affective experience of exercise. We tested a novel method
based on discoveries about the relation between exercise intensity and pleasure, and lessons from behavioral
economics. We examined the effect of reversing the slope of pleasure during exercise from negative to positive
on pleasure and enjoyment, remembered pleasure, and forecasted pleasure. Forty-six adults were randomly
assigned to a 15-min bout of recumbent cycling of either increasing intensity (0–120% of watts corresponding
to the ventilatory threshold) or decreasing intensity (120–0%). Ramping intensity down, thereby eliciting a
positive slope of pleasure during exercise, improved postexercise pleasure and enjoyment, remembered plea-
sure, and forecasted pleasure. The slope of pleasure accounted for 35–46% of the variance in remembered and
forecasted pleasure from 15 min to 7 days postexercise. Ramping intensity down makes it possible to combine
exposure to vigorous and moderate intensities with a pleasant affective experience.
Keywords: affective forecasting, behavioral economics, remembered utility, predicted utility
Most theories of behavior change used in the domain
of public health rest on the assumption that, once provided
with appropriate, accurate, and adequate information,
most individuals will act to alter their behavior. When
judged from the standpoint of such theories, the case of
exercise appears paradoxical. While nearly everyone in
western societies reports awareness of the health benets
of exercise (Martin, Morrow, Jackson, & Dunn, 2000;
O’Donovan & Shave, 2007), the rates of participation
are extremely low. A nationwide study in the United
States, using objective assessment of physical activity
with accelerometers, showed that only 3.2% of adults
are active at levels recommended for health promotion
(Tudor-Locke, Brashear, Johnson, & Katzmarzyk, 2010).
Moreover, dropout from short-term interventions aver-
ages 45% (Marcus et al., 2006) and is even higher in eld
settings (Edmunds, Ntoumanis, & Duda, 2007).
Interventions designed to increase exercise and
physical activity (PA) have mainly targeted cognitive
constructs, such as appraisals of self-efcacy, outcome
expectations, perceptions of social support, and antici-
pated benets versus costs. The results of these inter-
ventions so far have been modest (Marcus et al., 2006).
Thus, it seems reasonable to suggest that an expansion
of the theoretical perspective through which the problem
of activity promotion is approached may be warranted.
In particular, the theories that are commonly used
to explain, predict, and change PA and exercise behavior
rely on the assumption that, in making behavioral deci-
sions, people act as rational decision makers: they seek,
collect, and analyze relevant information; methodically
weigh pros and cons; and make probabilistic predictions
about the future consequences of their actions or inac-
tions. However, research from behavioral economics
has cast doubt on the assumption that decision making
is based solely on the rational evaluation of information
(Stanovich & West, 2000). Explaining the notion of
bounded rationality, Simon (1983) argued that “human
beings have neither the facts nor the consistent struc-
ture of values nor the reasoning power at their disposal
that would be required [to behave rationally]” (p. 17).
Building on this idea, Kahneman (2003) proposed that,
rather than always relying on rationality, humans use a
set of heuristics and biases, which, although occasion-
ally disadvantageous, bring the complexity of problems
down to a manageable scale and help people navigate
their world. One such device, called the affect heuristic
(e.g., Finucane, Alhakami, Slovic, & Johnson, 2000),
has been singled out as “probably the most important
development in the study of judgment heuristics in the
past few decades” (Kahneman, 2003, p. 710). The simple
but powerful idea behind the affect heuristic is that judg-
ments and decisions are inuenced by affective responses
(Finucane et al., 2000).
150 Zenko, Ekkekakis, and Ariely
JSEP Vol. 38, No. 2, 2016
Prompted by the desire to uncover sources of behav-
ioral variation not captured by cognitive appraisals,
researchers have started focusing on the role of affective
constructs, such as pleasure and enjoyment. Despite
considerable heterogeneity in their methodologies, early
studies have found positive associations between affective
responses during exercise bouts and subsequent PA (for
reviews, see Ekkekakis & Dafermos, 2012; Rhodes &
Kates, 2015). Likewise, a meta-analysis on the relation-
ship of enjoyment and related variables (e.g., affective
component of attitude, intrinsic motivation) with PA
found an average correlation of 0.42, which is larger than
those for self-efcacy, social and sociodemographic vari-
ables, personality factors, and attributes of the built envi-
ronment (Rhodes, Fiala, & Conner, 2009). Other studies
have shown that affective associations (e.g., “When I
think of exercise, I feel . . .”; Kiviniemi, Voss-Humke, &
Seifert, 2007) and anticipated affective responses (e.g.,
“I will feel regret if I do not exercise over the next four
weeks”; Conner, McEachan, Taylor, O’Hara, & Lawton,
2015; Dunton & Vaughan, 2008) are also signicantly
associated with PA participation.
This preliminary evidence demonstrates that target-
ing affective constructs in interventions aimed at promot-
ing PA may hold promise. However, there is presently
a surprising dearth of information on how to make PA
and exercise more pleasant. Many researchers consider
reduced pleasure and enjoyment during the early stages
of exercise interventions as more-or-less unavoidable. For
example, Wilson, Rodgers, Blanchard, and Gessell (2003)
wrote that, at the initial stages, exercise is “unlikely to
be construed as inherently pleasurable or enjoyable” (p.
2375). Indeed, research with chronically sedentary and/or
low-tness participants shows declines in pleasure over
most of the range of exercise intensity (e.g., Ekkekakis,
Lind, & Vazou, 2010; Sheppard & Partt, 2008; Welch,
Hulley, Ferguson, & Beauchamp, 2007). Likewise,
interventions with formerly sedentary adults have found
reductions in enjoyment (Castro, Sallis, Hickmann, Lee,
& Chen, 1999; Stevens, Lemmink, van Heuvelen, de
Jong, & Rispens, 2003).
The present study was designed to examine the
effect of manipulating the slope of pleasure–displeasure
during an exercise bout on how pleasant or unpleasant
the bout is later remembered (“remembered utility” in
behavioral-economic terms) and how pleasant or unpleas-
ant future bouts are expected to be (“predicted utility”
in behavioral-economic terms, typically referred to as
affective forecasting in psychology). In behavioral eco-
nomics, it has been theorized that both the remembered
utility and the predicted utility of an experience predict
whether a behavior will be repeated (Ariely & Carmon,
2000; Kahneman, Wakker, & Sarin, 1997). Accumulating
evidence indicates that anticipated affect and enjoyment
are indeed associated with PA intentions and behavior
(Conner et al., 2015; Dunton & Vaughan, 2008; Helfer,
Elhai, & Geers, 2015; Loehr & Baldwin, 2014).
It is generally assumed that predictions of how
pleasant or unpleasant an experience will feel depends on
how similar past experiences have registered in memory.
From the standpoint of intervention, the question, then,
is how the affective memories of and the affective fore-
casts for exercise can be improved. Intuition perhaps
suggests that the entire exercise session should be made
more pleasant. However, research shows that not all
aspects of an episode are equally inuential in shaping
the memory of that episode. Evidence from behavioral
economics has shown that people prefer experiences
during which pleasure increases over time to those that
involve decreasing pleasure, even if the total amount of
derived pleasure is the same (Ariely & Carmon, 2000;
Ariely & Zauberman, 2003; Zauberman, Diehl, & Ariely,
2006). This nding is relevant to exercise since, among
individuals with a low level of cardiorespiratory tness,
even relatively low workloads can result in the inability
to maintain a physiological “steady state.” In such cases,
physiological variables associated with metabolic strain,
including heart rate, oxygen uptake, and blood lactate,
exhibit a continuous upward “drift.” In turn, this trend is
associated with declining levels of pleasure (Ekkekakis,
Partt, & Petruzzello, 2011) and the rising desire to stop.
Thus, exercise bouts with nonathletic participants typi-
cally culminate with the highest level of physiological
strain and perceived exertion, as well as the lowest level
of pleasure (e.g., Lind, Joens-Matre, & Ekkekakis, 2005).
Thus, the purpose of the current study was to explore
the psychological implications of changing the pattern of
exercise intensity during a bout, from the typical increas-
ing slope to a decreasing slope. In a between-subject
design, we compared two bouts of similar physiological
demands but opposite intensity slopes, one increasing
(intended as a simulation of a typical bout) and the other
decreasing. Based on evidence from exercise-psycho-
logical research (Ekkekakis et al., 2011), we expected
that this manipulation would result in opposite slopes
of pleasure ratings, with continuous during-exercise
decline in the increasing-intensity group but continuous
improvement in the decreasing-intensity group. In turn,
based on evidence from behavioral economics (Ariely
& Carmon, 2000), we hypothesized that participants
in the decreasing-intensity (increasing-pleasure) group
would report more postexercise pleasure and enjoyment,
would remember the exercise bout as having been more
pleasant, and would forecast that a future bout would be
more pleasant than participants in the increasing-intensity
(decreasing-pleasure) group.
Power calculations for a between-within interaction in
a 2 (groups) by 5 (time points) design, anticipating a
“small” to “medium” effect (f = 0.15), α = .05, 1 – β
= 0.80, correlated dependent variables (r = .70), and a
violation of the assumption of sphericity (ε = 0.70) indi-
cated a required total sample size of 44. Participants were
deemed eligible if they (a) were between the ages of 18
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Exercise as Affective Experience 151
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and 40 years, (b) were not pregnant, (c) had no history
of cardiometabolic disease, (d) experienced no pain or
dizziness during exercise, (e) did not use supplemental
oxygen for breathing, and (f) had no metal allergies
or implanted electromagnetic devices. No restriction
was placed on gender or habitual PA. We opted for a
heterogeneous sample and thus a more stringent test of
our hypotheses (i.e., under conditions of unrestricted
within-group variance).
Following Institutional Review Board approval, 54
members of a university community (21 women and 33
men, mainly staff members) responded to e-mail solicita-
tions and satised the inclusion/exclusion criteria. After
the initial exercise test (as described below), the ventila-
tory threshold could not be determined unambiguously
in seven cases, so these individuals were not scheduled
for additional sessions. One additional individual suffered
an injury unrelated to the study. Thus, 46 individuals
(15 women, 31 men) completed all sessions and were
included in the analyses. Of them, 6 women and 16 men (n
= 22) were randomly allocated to the increasing-intensity
group, whereas 9 women and 15 men (n = 24) were
allocated to the decreasing-intensity group. Additional
characteristics are presented in Table 1.
Pleasure during and after exercise. The core affective
dimension of valence is conceptualized as bipolar, rang-
ing from pleasure to displeasure (Russell, 1980). It was
assessed with the Feeling Scale (FS; Hardy & Rejeski,
1989), a single-item, 11-point bipolar rating scale rang-
ing from +5 (I feel very good) to –5 (I feel very bad)
and verbal anchors at zero (neutral) and odd numbers.
Concurrent validity data have been reported by Hardy and
Rejeski (1989). The use of a single-item rating scale was
deemed necessary, as it allowed the collection of data with
adequate temporal resolution during the exercise bouts,
while minimizing respondent burden.
Remembered pleasure. To minimize common-method
variance, remembered pleasure–displeasure was assessed
using a scale with a different format than the FS. Speci-
cally, a visual analog scale (VAS) was used, in response
to the question, “How did the exercise session in the
laboratory make you feel?” The scale ranged from very
pleasant (+100) to very unpleasant (–100) in intervals of
1. Participants responded using a computer by moving an
on-screen slider. The slider was initially positioned in the
middle (0). The verbal descriptors and slider were visible
to participants but the numbers were not.
Forecasted pleasure. Again, to minimize common-
method variance, forecasted pleasure was assessed using
a scale with a different format than the scales used during
exercise (i.e., FS) and for the assessment of remembered
pleasure (i.e., VAS). Specically, participants responded
to the question, “If you repeated the exercise session
again, how do you think it would make you feel?” using
the Empirical Valence Scale (EVS; Lishner, Cooter, &
Zald, 2008) presented on a computer screen. Respondents
chose from 15 empirically spaced verbal anchors, rang-
ing from most unpleasant imaginable (–100) to most
pleasant imaginable (+100). The value associated with
each verbal anchor corresponded to the values specied
by Lishner et al. (2008).
Postexercise enjoyment. Enjoyment of the exercise
session was measured with the Physical Activity Enjoy-
ment Scale (PACES; Kendzierski & DeCarlo, 1991). In
accordance with the standard instructions, respondents
were asked to “rate how you feel at the moment about
the physical activity you have been doing.” The PACES
Table 1 Participant Characteristics (M ± SD)
Intensity-Pattern Group
Increasing Intensity
= 22) Decreasing Intensity
= 24)
Men/Women 16/6 15/9
Age (years) 28 ± 5 27 ± 4
Height (cm), Men 176 ± 6 178 ± 6
Height (cm), Women 164 ± 8 167 ± 6
Body Mass (kg), Men 82 ± 17 78 ± 9
Body Mass (kg), Women 69 ± 13 67 ± 16
Body Mass Index (kg·m–2), Men 26 ± 5 25 ± 2
Body Mass Index (kg·m–2), Women 25 ± 3 24 ± 4
Planned Exercise (min·week–1) 328 ± 247 356 ± 245
Incidental PA (min·week–1) 790 ± 739 707 ± 591
VO2peak (ml·kg–1·min–1), Men 27 ± 8 32 ± 5
VO2peak (ml·kg–1·min–1), Women 29 ± 12 26 ± 4
VT (%VO2peak) 62 ± 11 56 ± 9
Note. PA = physical activity; VT = ventilatory threshold. For all group comparisons, p > .05.
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152 Zenko, Ekkekakis, and Ariely
JSEP Vol. 38, No. 2, 2016
consists of 18 bipolar items (e.g., I enjoy it versus I
hate it), with the polar opposites separated by a 7-point
scale (“4” being the midpoint). Validation studies by
Kendzierski and DeCarlo (1991) have shown a negative
correlation with boredom and a signicant prediction
of choice between different activities. In the present
sample, the PACES exhibited high internal consistency
(Cronbach’s α = .95).
Perceived exertion. As a manipulation check, per-
ceptions of exertion were assessed with the Rating of
Perceived Exertion (RPE; Borg, 1998), which ranges
from 6 (No exertion at all) to 20 (Maximal exertion).
The validity of this scale has been established through
correlations with physiological indices, including venti-
lation, oxygen update, and lactate accumulation (Chen,
Fan, & Moe, 2002).
Physical activity. For descriptive purposes, the Inci-
dental and Planned Exercise Questionnaire (IPEQ-WA;
Delbaere, Hauer, & Lord, 2010) was used as a measure
of habitual PA. The IPEQ-WA includes questions inquir-
ing about both planned exercise (e.g., exercise classes)
and weekly incidental PA behavior (e.g., walking for
Using a computer algorithm, participants were randomly
assigned to either an increasing-intensity or a decreasing-
intensity group. Participation consisted of three visits to
the laboratory: (a) an initial session for maximal exercise
testing, (b) an experimental exercise session, and (c) a
follow-up outcome-assessment session. The three visits
were separated by 1 week and were scheduled at the same
time of day for each participant, to control for possible
diurnal variation.
Session 1: Maximal exercise test. The purposes of
this session were to (a) collect anthropometric data; (b)
determine peak aerobic capacity and ventilatory thresh-
old, used in setting the workload for the subsequent
experimental session; and (c) familiarize participants with
the self-report measures. After completing the informed
consent process and the IPEQ-WA, participants had their
height (wall-mounted stadiometer) and weight (BF-626,
Tanita, Tokyo, Japan) measured. Participants were then
tted with a heart rate monitor (Polar, Kempele, Finland)
and a nose-and-mouth facemask for the collection of
expired gases (Hans Rudolph, Kansas City, MO) and had
the standard instructions for FS and RPE read to them.
Testing was conducted with a computer-controlled,
electronically braked recumbent cycle ergometer (Corival
Recumbent, Lode BV, Groningen, Netherlands). Oxygen
uptake and carbon dioxide production were measured
with a metabolic cart (TrueOne 2400, ParvoMedics, Salt
Lake City, UT), which was calibrated before each use.
After a 5-min warm-up (0 W), the workload increased in
a ramp fashion (1 W every 4 s). To gain experience with
the FS and RPE, participants reported their responses
to these scales each minute during the test by pointing
on laminated poster-size versions of the scales (kept
out of the eld of vision at other times). Upon reaching
volitional exhaustion, the facemask was removed and
participants did a 5-min cool-down (0 W), followed by a
5-min rest period. Thereafter, the participants responded
to the VAS and EVS, as an opportunity to familiarize
themselves with these scales as well.
The ventilatory threshold was later determined by
consensus by two judges who worked independently,
analyzing the gas exchange data ofine with the aid of
a software program (WinBreak 3.7, Epistemic Mind-
works, Ames, IA). The software combines three methods
(V-slope, ventilatory equivalents, excess CO2), as rec-
ommended by Gaskill, Ruby, Walker, Sanchez, Serfass,
and Leon (2001). The ventilatory threshold could not
be determined unambiguously (due to excessive noise
in the gas exchange data) for seven individuals. Rather
than subjecting these individuals to additional testing,
they were excluded from the rest of the study.
Session 2: Experimental session. Participants returned
1 week later for the experimental session. Preparatory
procedures identical to those of Session 1 were followed
(i.e., tting of heart rate monitor, rereading of instruc-
tions for FS and RPE), but no facemask was used (and
no expired gases were collected), to enhance external
validity. The exercise consisted of recumbent station-
ary cycling on the same ergometer used for maximal
testing. The increasing-intensity group started at 0 W
and progressed to 120% of the watts corresponding to
the ventilatory threshold over 15 min. Conversely, the
decreasing-intensity group started at 120% of the watts
corresponding to the ventilatory threshold and progressed
to 0 W over 15 min. The workload and time passed were
not visible to participants. Participants responded to the
FS immediately before exercise; during the last 15 s of
Minutes 3, 6, 9, 12, and 15 of the 15-min bout; and 2, 5,
and 10 min after exercise. The RPE data were collected
at the during-exercise time points.
After exercise, participants rested in a recliner.
Fifteen minutes postexercise, after being left alone in
the room, participants used a computer to respond to the
VAS and EVS, for the assessment of remembered and
forecasted pleasure, respectively. Next, participants com-
pleted the PACES. Finally, participants were informed
that they would receive a follow-up e-mail message, 24
hr later, with an Internet link, for one more administration
of the VAS and EVS.
Session 3: Follow-up outcome assessment. Partici-
pants returned to the laboratory 1 week later, to respond
to the VAS and EVS. They were then thanked, debriefed,
and released.
Statistical Analysis
As a manipulation check, an intensity-pattern (between)
by time (within) MANOVA was used to investigate the
effect of intensity pattern on the percentages of peak
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Exercise as Affective Experience 153
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heart rate (%HRpeak), RPE, and FS at Minutes 3, 6, 9,
12, and 15 during exercise. To determine the effect of
the experimental manipulation on postexercise pleasure,
an intensity-pattern group (between) by time (within)
ANOVA was used, with FS ratings obtained 2, 5, and 10
min after exercise as the dependent variable. For both the
MANOVA and ANOVA, if the sphericity assumption was
violated, the Greenhouse–Geisser adjustment was applied
to the degrees of freedom. The individual slopes of FS
during exercise (Minutes 3, 6, 9, 12, and 15) were calcu-
lated by linear regression. A series of regression analyses
were then conducted to determine (a) the association
of the slope of pleasure during exercise with ratings of
remembered pleasure, (b) the association of remembered
pleasure with forecasted pleasure, and (c) the association
of the slope of pleasure during exercise with forecasted
pleasure. Separate analyses were conducted for assess-
ments completed 15 min, 24 hr, and 7 days postexercise.
Likewise, a regression analysis was used to determine the
association of the slope of pleasure during exercise with
postexercise enjoyment. Finally, correlations were used
to assess the association of the average pleasure ratings
during exercise with remembered pleasure, forecasted
pleasure, and postexercise enjoyment.
Participant Characteristics
The two groups did not differ with respect to the assessed
demographic, anthropometric, behavioral, and physiolog-
ical characteristics (see Table 1). Half of the participants
(48%) were overweight or obese. Although the average
levels of planned exercise and incidental PA suggest
an active sample, there was considerable heterogeneity
and apparent discordance between self-reported PA and
objectively assessed cardiorespiratory tness. Based on
self-reports (IPEQ-WA), 77% of participants reported
never attending exercise classes. Only 3 of 46 reported
attending exercise classes on three or more days per week.
Most (61%) reported never doing any exercise at home.
Only 4 of 46 reported doing some exercise at home on
ve or more days per week. Half (53%) reported never
walking for exercise, while 31% reported some walking
for exercise but on fewer than 5 days per week. Although
40% reported some walking for transportation on a daily
basis, 83% walked for less than 30 min per day. The
average level of cardiorespiratory tness for both men
(29.33 ± 7.30 ml·kg–1·min–1) and women (27.16 ± 8.03
ml·kg–1·min–1) was “poor” (bottom 25%) by normative
standards for cycle ergometry (American College of
Sports Medicine, 2013, p. 84).
Manipulation Checks
The MANOVA showed no signicant effect of group,
Pillai’s V = .15, F (3, 38) = 2.18, p = .11, η2 = .15, which
suggests that the two groups were exposed to similar
overall levels of exercise intensity (%HRpeak), perceived
exertion (RPE), and during-exercise pleasure (FS). On
the other hand, there was a signicant group-by-time
interaction, Pillai’s V = .83, F (12, 480) = 15.32, p <
.001, η2 = .28. Univariate tests revealed that the interac-
tion was signicant for all three dependent variables: (a)
%HRpeak, F (1.37, 54.79) = 129.78, p < .001, η2 = .76;
(b) RPE, F (1.32, 52.89) = 55.63, p < .001, η2 = .58;
and (c) FS, F (1.83, 72.99) = 31.85, p < .001, η2 = .44.
As expected, in the increasing-intensity group, HR and
RPE increased over time, whereas FS ratings declined
over time. The opposite trends were evident in the
decreasing-intensity group (see Figure 1). Importantly,
the average FS ratings in the decreasing-intensity (1.91
± 1.45) and increasing-intensity groups (2.04 ± 1.34) did
not differ signicantly, t (44) = –0.31, p = .76, d = 0.09,
indicating that the total amount of reported pleasure was
similar in the two groups. Moreover, baseline FS levels
did not differ signicantly (increasing intensity: 2.23 ±
1.95; decreasing intensity: 2.83 ± 1.88, t (44) = 1.07, p
= .29, d = –0.32), suggesting that subsequent changes
in FS were unlikely to reect the law of initial values or
regression to the mean.
On the other hand, the individual slopes of during-
exercise FS ratings differed signicantly between the two
groups, t (44) = 7.24, p < .001, d = –2.14. As expected, in
the increasing-intensity group, the slope of FS was nega-
tive (–0.16 ± 0.17), whereas, in the decreasing-intensity
group, the slope was positive (+0.22 ± 0.18). Of the 22
participants allocated to the increasing-intensity group,
17 (77%) showed negative FS slopes (2 had slopes of
zero and 3 had near-zero positive slopes, from 0.03 to
0.10). Conversely, of the 24 participants allocated to the
decreasing-intensity group, 20 (83%) showed positive FS
slopes (1 had a slope of zero and 3 had near-zero negative
slopes, from –0.03 to –0.07). Following the intention-to-
treat principle, all participants were analyzed in the group
to which they were originally allocated.
Postexercise Pleasure
A 2 (groups) by 3 (time points: 2, 5, 10 min postexer-
cise) ANOVA on postexercise FS ratings revealed no
main effect of time, F (1.19, 52.45) = 0.06, p = .84, η2 =
.001, and no group-by-time interaction, F (1.19, 52.45)
= 0.06, p = .84, η2 = .001. There was, however, a sig-
nicant main effect of group, F (1, 44) = 4.39, p = .04,
η2 = .09. The mean postexercise FS rating was 3.38 ±
1.25 for the decreasing-intensity group and 2.56 ± 1.39
for the increasing-intensity group, t (44) = 2.09, p = .04,
d = –0.62.
Postexercise Enjoyment
An independent-sample t test on postexercise PACES
scores showed a signicant difference between groups,
t (43) = 3.32, p = .002, d = –0.99. Specically, the
decreasing-intensity group averaged 100.39 ± 11.46,
whereas the increasing-intensity group averaged 86.64
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154 Zenko, Ekkekakis, and Ariely
JSEP Vol. 38, No. 2, 2016
± 16.04, on a scale on which 72 is the midpoint and 126
represents maximum enjoyment.
Remembered and Forecasted Pleasure
A 2 (groups) by 3 (time points: 15 min, 24 hr, 7 days)
MANOVA on remembered (VAS) and forecasted pleasure
(EVS) showed no signicant main effect of time, Pillai’s
V = .06, F (4, 168) = 1.31, p = .27, η2 = .03, but a signi-
cant main effect of group, Pillai’s V = .333, F (2, 41) =
10.22, p < .001, η2 = .33. The decreasing-intensity group
averaged signicantly higher levels of both remembered
pleasure (55.51 ± 23.45 vs. 25.05 ± 27.95), t (44) = 4.02, p
< .001, d = –1.19, and forecasted pleasure (51.75 ± 22.67
vs. 31.47 ± 26.05), t (44) = 2.82, p = .007, d = –0.83.
There was also a signicant group-by-time interaction,
Pillai’s V = .14, F (4, 168) = 3.23, p = .014, η2 = .07.
Follow-up univariate ANOVAs showed that the interac-
tion was signicant only for remembered pleasure, F (2,
84) = 6.62, p = .002, η2 = .14. The interaction was driven
by a gradual decline in the decreasing-intensity group
from 65.09 ± 21.81 at 15 min postexercise to 56.77 ±
21.88 a day later, t (21) = 3.00, p = .006, and to 51.42 ±
25.40 a week later, t (23) = 4.24, p < .001. Conversely,
the increasing-intensity group showed a smaller, non-
signicant improvement from 22.41 ± 30.02 at 15 min
postexercise to 27.41 ± 26.09 a week later. Despite this
convergence, even a week after the experimental session,
the difference between groups was still signicant and
large, t (44) = 3.16, p = .003, d = –0.93.
Slope of Pleasure, Postexercise
Enjoyment, Remembered,
and Forecasted Pleasure
The slope of FS ratings during exercise signicantly
predicted postexercise PACES scores, r = .58, r2 = .33, b
= 33.86, F (1, 43) = 21.21, p < .001. Similarly, in a series
of simple regressions, the slope of FS ratings predicted
all VAS ratings of remembered pleasure: (a) 15 min: r =
.68, r2 = .46, b = 88.04, t = 6.17, p < .001; (b) 24 hr: r =
.64, r2 = .40, b = 77.31, t = 5.33, p < .001; (c) 7 days: r
= .59, r2 = .35, b = 64.57, t = 4.87, p < .001. Likewise,
the slope of FS ratings predicted all EVS ratings of fore-
casted pleasure: (a) 15 min: r = .63, r2 = .40, b = 72.89,
t = 5.43, p < .001; (b) 24 hr: r = .61, r2 =.37, b = 61.84, t
= 4.94, p < .001; (c) 7 days: r = .61, r2 = .37, b = 62.01,
t = 5.04, p < .001 (see Figures 2 and 3). Because the
“24-hr” VAS and EVS ratings were not entered exactly
24 hr after exercise, hierarchical regressions were also
conducted, with the actual time (in minutes) since the
exercise session entered as the rst step. Variation in the
time of data entry was unrelated to predicted (p = .30) and
forecasted (p = .16) pleasure, leaving the 24-hr VAS and
EVS results essentially unchanged: b = 76.50, t = 5.27,
p < .001, and b = 60.85, t = 4.93, p < .001, respectively.
Despite the use of different ratings scales, remembered
pleasure and forecasted pleasure at each time point were
strongly interrelated: (a) 15 min: r = .84, p < .001; (b) 24
hr: r = .85, p < .001; (c) 7 days: r = .88, p < .001.
Figure 1 — Percentages of peak heart rate (Panel a), ratings of perceived exertion (Panel b), and Feeling Scale scores (Panel c) in the
decreasing-intensity (lled squares) and increasing-intensity (lled circles) groups during exercise. The error bars indicate standard errors.
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Exercise as Affective Experience 155
JSEP Vol. 38, No. 2, 2016
Mean Pleasure and Postexercise
Enjoyment, Remembered,
and Forecasted Pleasure
Unlike the slope of during-exercise FS ratings, the aver-
age FS rating during exercise was unrelated to enjoyment,
remembered pleasure, and forecasted pleasure. The cor-
relation coefcients ranged from r = .14, p = .37, to r =
.26, p = .09.
The exercise promotion literature seems to reect a res-
ignation to the idea that, for individuals who are chroni-
cally sedentary and/or have low cardiorespiratory tness,
exercise is unlikely to be experienced as pleasant. This
is accepted as the unavoidable “price of admission,” a
“necessary evil,” that new exercisers must endure. Most
techniques being used to improve the exercise experience
(i.e., mainly cognitive interventions, including manipula-
tions of attentional focus) aim to attenuate the degree of
unpleasantness, thus making the exercise more tolerable,
though not necessarily pleasant. However, under condi-
tions of self-determination, for exercise to be sustainable
in the long term, it should be not just tolerable but more
pleasant than sedentary alternatives competing for a por-
tion of discretionary time (Ekkekakis & Dafermos, 2012).
The present study tested an innovative method,
derived from a cross-disciplinary evidence base, com-
bining the elds of exercise psychology and behavioral
economics. Specically, research on the relation between
exercise intensity and pleasure informed the intensity
manipulations used in this study. This evidence indicates
that an intensity that exceeds the ventilatory threshold
results in declining pleasure ratings, whereas the cessa-
tion of suprathreshold exercise leads to a robust rebound
in pleasure (Ekkekakis et al., 2011), reminiscent of the
affective contrast effect described by Solomon (1980). On
the other hand, evidence from behavioral economics has
shown that the slope of change of pleasure–displeasure
during an episode weighs heavily on subsequent retro-
spective evaluations of the experience (Ariely, 1998).
Based on such ndings, Ariely and Carmon (2000) sug-
gested that “summary evaluations may benet from an
(unneeded) initial low point in the experience prole,
since this allows for greater improvement over the dura-
tion of the experience” (p. 199). Ariely and Carmon
(2000) anticipated reactions to the seemingly counter-
intuitive nature of their suggestion: “if we ask decision
makers directly if they prefer to add an undesirable start
to their experience, they will most likely say no” (p. 199).
Yet, they predicted that “such an addition may be ‘better
for them’ in terms of their global evaluations” (p. 199).
The present findings are consistent with this
suggestion, as we observed robust benefits in the
Figure 2 — Cross-lagged correlations of during-exercise slope of pleasure with remembered and forecasted pleasure, 15 min, 24 h, and
7 days after the exercise bout (for all correlation coefcients, p < .001). Comparisons of remembered and forecasted pleasure between the
decreasing-intensity (gray bars) and increasing-intensity (white bars) groups at each of the three time points are shown in the bar graphs.
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156 JSEP Vol. 38, No. 2, 2016
Figure 3 — Scatterplots illustrating the association of the slope of pleasure during the exercise bout with (a) postexercise pleasure (average of
ratings at 2, 5, and 10 min postexercise), (b) postexercise enjoyment, (c) remembered pleasure (15 min postexercise), (d) forecasted pleasure
(15 min postexercise), (e) remembered pleasure (24 hr postexercise), (f) forecasted pleasure (24 hr postexercise), (g) remembered pleasure
(7 days postexercise), and (h) forecasted pleasure (7 days postexercise). Pearson product–moment correlation coefcients and associated
probability values are shown for each graph.
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Exercise as Affective Experience 157
JSEP Vol. 38, No. 2, 2016
decreasing-intensity (i.e., increasing-pleasure) group
compared with the increasing-intensity (i.e., decreasing-
pleasure) group in postexercise pleasure and enjoyment,
as well as in remembered and forecasted pleasure for up
to a week later. Moreover, consistent with the theoretical
prediction (Ariely & Carmon, 2000), unlike the slope of
pleasure, the average pleasure (and, therefore, also the
total amount of derived pleasure) reported during the
exercise bout was unrelated to postexercise enjoyment,
remembered pleasure, and forecasted pleasure.
These ndings have considerable potential impli-
cations for exercise promotion. These become readily
apparent when the study is placed within the context of the
ongoing heated debate about the role of exercise intensity
in exercise adoption and adherence. Since the mid-1990s,
PA recommendations issued by scientic organizations
and governmental agencies have focused primarily on
moderate-intensity activity (approximately correspond-
ing to “brisk” walking). This approach has been based
on “the belief that the promotion of moderate-intensity
exercise would lead to greater adoption and adherence
to exercise [compared to vigorous-intensity exercise]”
(Garber et al., 2011, pp. 1346–1347). However, with
increased recognition of the added health benets that can
be achieved with higher levels of intensity (e.g., Swain
& Franklin, 2006), since 2007 the American College of
Sports Medicine and the American Heart Association
have explicitly endorsed vigorous-intensity activity as an
option, alongside moderate-intensity activity (Haskell et
al., 2007). Moreover, for individuals with diabetes and
other cardiovascular risk factors, the American Heart
Association, citing evidence of robust cardiometabolic
adaptations, has noted that “vigorous intensities should
be targeted if tolerated and with consideration of contra-
indications” (Marwick et al., 2009, p. 3253).
To improve tolerability for nonathletic participants,
high-intensity sessions are structured as a sequence of
brief intense spurts interspersed with periods of rest or
active recovery. This pattern has become known as high-
intensity interval training (HIIT). Proponents argue that
HIIT offers the opportunity for the accrual of cardio-
metabolic adaptations in a time-efcient manner because
HIIT sessions can be of shorter total duration than typi-
cal moderate-intensity sessions (Jung, Bourne, & Little,
2014). In contrast, skeptics counter that HIIT might be
of limited value as a public-health intervention because
the inherent displeasure of high-intensity exercise could
discourage most participants and adversely inuence
adherence (Biddle & Batterham, 2015; Hardcastle, Ray,
Beale, & Hagger, 2014; Lunt et al., 2014).
The present study represents an attempt to advance
the discourse beyond the seemingly stagnant and polar-
izing debate on moderate-versus-vigorous intensity. The
pattern of intensity tested in this study (i.e., continuous
ramp-down) is the rst known attempt to respond to the
challenge issued by Dishman (1982) over three decades
ago, namely to devise a hitherto-elusive “compromise
between the ideal physiological prescription and a
manageable behavioral prescription” (p. 248). It is also
the rst attempt to develop an exercise prescription that
targets the promotion of pleasure as a central consider-
ation alongside effectiveness and safety (as proposed
by Ekkekakis et al., 2011) and the rst prescription to
directly incorporate theorizing from a discipline outside
the exercise sciences (i.e., behavioral economics).
Participants in the decreasing-intensity group
received, on average, approximately 5 min (i.e., 33%)
of exercise within the “vigorous” range, dened by the
American College of Sports Medicine (2013, p. 5) as
extending from 77% to < 94% of maximal heart rate (i.e.,
Minute 2: 78% ± 10%; Minute 3: 78% ± 10%; Minute
4: 77% ± 10%; Minute 5: 76% ± 10%). Yet their ratings
of affective valence, after the initial drop (pre: 2.83 ±
1.88; Minute 3: 0.67 ± 1.90), started an upward trend
(Minute 6: 1.08 ± 1.95), responding to the progressively
decreasing intensity, consistent with the affective contrast
effect (Solomon, 1980). The participants remained, on
average, within the range of “moderate” intensity, dened
as extending from 64% to < 77% of maximal heart rate,
until Minute 13 (Minute 12: 65% ± 8%; Minute 13:
64% ± 9%; Minute 14: 63% ± 8%). Overall, the bout of
decreasing intensity provided a reasonable combination
of vigorous and moderate intensity.
At the same time, the pattern of intensity observed
in the increasing-intensity group represents a realistic
simulation of a typical exercise bout exhibiting a con-
tinuous upward “drift” of physiological parameters. The
percentage of peak heart rate increased from 63% ± 7%
(Minute 3) to 86% ± 8% (Minute 15) and RPE increased
from 8.04 ± 1.53 (Minute 3) to 14.00 ± 2.18 (Minute 15).
For example, low-tness middle-aged women (VO2peak:
22.98 ± 5.69 ml·kg–1·min–1) who were asked to exercise
on a treadmill at their self-selected pace for 20 min started
from 67% ± 13% of peak heart rate after the warm-up
and progressed to 83% ± 13% at Minute 20. Their RPE
rose from 8.87 ± 1.77 to 13.78 ± 1.95 (Lind et al., 2005).
Limitations of the current study that future investiga-
tions should address include the following. First, while
the sample consisted of community volunteers with
heterogeneous PA proles and “poor” average cardiore-
spiratory tness, it remains to be seen whether the results
can be replicated in samples with different characteristics
(e.g., participants with higher cardiorespiratory tness
or participants with obesity, diabetes, or coronary artery
disease). Second, even though this study demonstrated
robust differences in during-exercise pleasure and imme-
diate postexercise pleasure and enjoyment, as well as
more distal remembered and forecasted pleasure, future
investigations should examine the effects of repeated
sessions involving intensity ramp-downs on PA behavior
and exercise adherence.
In conclusion, we developed and tested an innova-
tive and practical exercise bout that combines exposure
to meaningful doses of vigorous and moderate intensity
with signicantly improved postexercise pleasure and
enjoyment, remembered pleasure, and forecasted plea-
sure. Exercise resulting in more pleasure during the bout
(Ekkekakis & Dafermos, 2012; Rhodes & Kates, 2015),
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158 Zenko, Ekkekakis, and Ariely
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Loehr & Baldwin, 2014) should lead to higher levels of
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... Therefore, during the last high-intensity intervals when fatigue is more pronounced, as represented by the high values of HR and RPE, the in-task affective valence is reduced. Furthermore, our results demonstrated a decrement in in-task affective valence (Fig. 1C) similar to observed by Zenko et al. [33] in healthy adults performing a 15 min progressive exercise session starting at 0 W and progressing to 120% of the W associated with the ventilatory threshold, and by Olney et al. [34] in physically active adults unfamiliar with HIIE. The in-task affective valence in the end of an exercise session has greater influence in shaping the affective memory [35], and in turn, on if future exercise sessions will be perceived as pleasant or unpleasant. ...
... The in-task affective valence in the end of an exercise session has greater influence in shaping the affective memory [35], and in turn, on if future exercise sessions will be perceived as pleasant or unpleasant. In 46 young healthy adults (∼ 50% overweightto-obese and physically inactive), Zenko et al. [33] demonstrated a significant positive association between the slope of the affective valence with remembered pleasure and forecasted pleasure at future exercise session. This finding highlights the influence of a negative in-task affective valence in the end of the exercise session on shaping the exercise experience. ...
... Cette idée a été intégrée notamment dans un modèle des traits de personnalité développant l'hypothèse selon laquelle les prises de décision au quotidien dépendraient du choix entre se protéger (éviter une séance où je vais me faire mal), d'une part, et s'améliorer (aller à une séance pour apprendre ou rencontrer mes amis), d'autre part. Ainsi, ressentir des affects négatifs lors de la pratique amèneraient la plupart d'entre nous à éviter l'exercice physique, alors que ceux ressentant de la satisfaction et du plaisir pendant une session tendraient à revenir pour revivre la rencontre entre leurs attentes et leurs états affectifs (Zenko, Ekkekakis, & Ariely, 2016). ...
... Prêter attention aux affects lors d'un exercice physique permettrait alors à un individu d'auto-réguler son comportement, de mieux réguler l'intensité de sa performance physique, d'améliorer ses performances en optimisant la gestion de ses dépenses énergétiques, et de vivre plus agréablement la séance en comparaison d'un exercice physique effectué à une intensité non basée sur ses ressentis (Parfitt, Rose, & Burgess, 2006). C'est pourquoi savoir écouter ses affects lors d'un exercice physique joueraient un rôle prépondérant dans la pérennité de notre engagement (Zenko et al., 2016). Il a été montré, par exemple, que d'ajouter la composante affective d'une séance comme variable dans un modèle prédictif permet d'augmenter la qualité de la prédiction d'une future pratique. ...
... Aside from SDT-based considerations, practitioners might also be encouraged to draw from other related literature to devise strategies that support the promotion of participant exercise enjoyment. Salient considerations in this respect might include, among other things, providing variety and novelty in exercise sessions (see Sylvester et al., 2018), taking advantage, where possible, of the vitalising properties of natural environments (see Gladwell et al., 2013), being mindful of exercise intensity considerations (e.g., Zenko et al., 2016), the use of accompanying music (see Terry et al., 2020), the careful shaping of expectations (e.g., Dimmock et al., 2013), selective gamification of activities (e.g., Fang et al., 2019), and even embracing considerations regarding evolutionary perspectives on exercise enjoyment (e.g., chasing, fleeing; see Lee et al., 2016). Given that there is an established link between more autonomous forms of exercise motivation (e.g., such as those characterised by enjoyment, such as intrinsic motivation; see Teixeira et al., 2012) and exercise adherence, such strategies may in combination prove beneficial for promoting long-term exercise engagement among youth recovering from SUDs. ...
Objective Evidence for the effectiveness of exercise as therapy for youth substance use disorder (SUD) is scarce. In this study, we investigated associations between exercise enjoyment and recovery outcomes for youth undergoing residential SUD treatment. Method Using ecological momentary assessment, each week participants reported perceptions of exercise enjoyment, relapse prevention efficacy, self-esteem, and physical health, and associations between these variables were assessed at both between- and within-person levels. There were 97 participants (age: M = 17.5, SD = 1.57, range = 14 to 21; 37 female, 60 male), with a final sample of 64 due to participants (n = 33) discontinuing treatment within 2 weeks of commencement. Of the remaining sample, 50% (n = 32) completed 3 or more assessments, 40% (n = 26) completed 5 or more, and 25% (n = 16) completed 7 or more. Results Relapse prevention efficacy, self-esteem, and perceived physical health increased over time in the program. Youth who, on average, enjoyed exercise more had higher self-esteem, perceived physical health, and relapse prevention efficacy than those who enjoyed it less. Additionally, on occasions when youth enjoyed exercise more (relative to their own average), they reported higher self-esteem, perceived physical health, and relapse prevention efficacy than on occasions when they reported enjoying it less. Conclusion Participation in—and importantly, enjoyment of—exercise was linked to key health indices and predictors of relapse for youth during SUD treatment. These findings demonstrate that participation in enjoyable structured exercise may provide an important component of successful SUD treatment.
... HIIT is a structured exercise approach that improves key cardiometabolic health markers, particularly cardiorespiratory fitness (CRF) [24]. However, HIIT may be less accessible to large parts of the population [25], especially those who are the least physically active and fit [26]. Incorporating HIIT principles into a more accessible form of daily vigorous PA is a "missing link" in research and practice. ...
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Recently revised public health guidelines acknowledge the health benefits of regular intermittent bouts of vigorous intensity incidental physical activity done as part of daily living, such as carrying shopping bags, walking uphill, and stair climbing. Despite this recognition and the advantages such lifestyle physical activity has over continuous vigorous intensity structured exercise, a scoping review we conducted revealed that current research in this area is, at best, rudimentary. Key gaps include the absence of an empirically-derived dose specification (e.g., minimum duration of lifestyle physical activity required to achieve absolute or relative vigorous intensity), lack of acceptable measurement standards, limited understanding of acute and chronic (adaptive) effects of intermittent vigorous bouts on health, and paucity of essential information necessary to develop feasible and scalable interventions (e.g., acceptability of this kind of physical activity by the public). To encourage collaboration and research agenda alignment among groups interested in this field, we propose a research framework to further understanding of vigorous intermittent lifestyle physical activity (VILPA). This framework comprises four pillars aimed at the development of: (a) an empirical definition of VILPA, (b) methods to reliably and accurately measure VILPA, (c) approaches to examine the short and long-term dose–response effects of VILPA, and (d) scalable and acceptable behavioural VILPA-promoting interventions. Graphic Abstract
... The reliability and validity of VAS to measure core affect has previously been shown (e.g., Monk, 1989). Remembered pleasure has been included in recent studies examining affective responses to exercise (e.g., Zenko et al., 2016) as an operationalisation of the concept of Remembered Utility in behavioural economics (e.g., Kahnemann et al., 1997). Remembered pleasure is proposed to be a salient predictor of future exercise behaviour (Hutchinson et al., 2018) based on the memories of "affectladen experiences" (Rozin, 2002, p. 847). ...
Music has been shown to enhance affective responses to continuous exercise, but the most effective application of music during interval exercise is poorly understood. This study examined two contrasting applications of music designed to assuage the decline in pleasure often experienced during high-intensity interval training (HIIT). In a repeated measures crossover design, 18 recreationally active participants (10 men and 8 women; M age = 25.1 ± 5.1 years; M BMI = 23.08 ± 2.01 kg/m 2; M VO2max = 38.82 ± 10.73 ml/kg/min) completed three HIIT sessions (10 x 60 s efforts at 100% Wmax, separated by 75 s recovery) on a cycle ergometer. Participants completed two experimental conditions: respite music (applied only during the recovery periods), continuous music (applied throughout the entire HIIT session); and a no-music control condition. Results indicated that music did not influence affective valence during the work bouts or recovery periods of the HIIT sessions (ps >.05), but that listening to music continuously elicited greater post-task enjoyment (p =.032, d = 0.66) and remembered pleasure (p =.044, d = 0.5). This study is the first to investigate the application of music during a practical HIIT protocol and to compare the effects of respite versus continuous music during interval exercise.
... This also explains the divergent pattern which emerged between HR and RPE, although they are generally well correlated in response to exercise (Kraemer et al. 1987). In light of the above and in consideration that perception of effort and fatigue are key determinants of exercise adherence (Hartman et al. 2019;Prasad and Cerny 2002;Zenko et al. 2016), it seems prudent that CLU1 and CLU2 should be advocated when prescribing muscle strengthening exercises in older men. Finally, participants reported a preference for CLU2 over the other protocols (15, 3 and 2 for CLU2, CLU1 and CLU4, respectively). ...
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PurposeThe aims of this study were to compare mechanical outputs (i.e. power and impulse), physiological (i.e. heart rate) and perceptual (i.e. effort and fatigue) responses in older men to traditional-set or different cluster-set configuration resistance training protocols.Methods In a randomized cross-over design, 20 healthy old men (aged 67.2 ± 2.1 years) completed four resistance training sessions using the back squat exercise loaded with optimal power loads. Training configurations were: traditional (TRA), three sets of six repetitions with 120-s rest between each set; Cluster-set 1 (CLU1), 24 single-repetition clusters with 10 s of rest after every cluster; Cluster-set 2 (CLU2), 12 double-repetition clusters with 20-s rest after every cluster; and Cluster-set 4 (CLU4), 6 quadruple-repetition clusters with 40-s rest after every cluster.ResultsCluster-set configurations resulted in greater power outputs compared to traditional-set configuration (range 2.6–9.2%, all p \(\le\) 0.07 for main effect and protocol \(\times\) set interactions). CLU1 and CLU2 induced higher heart rate (range 7.1–10.5%, all p < 0.001 for main effect and protocol \(\times\) set interactions), lower rating of perceived exertion (range − 1.3 to − 3.2 AU, all p \(\le\) 0.006 for pairwise comparisons) and lower ratings of fatigue (range − 0.15 to − 4 AU, all p \(\le\) 0.012 for pairwise comparisons) compared to TRA and CLU4. Finally, an absolute preference for CLU2 was reported.Conclusions Findings presented here support the prescription of CLU2 as an optimal resistance training configuration for trained older men using the back squat.
... In designing future studies, common method variance should be considered and minimized; for example, one strategy is to avoid the duplication of measurement formats across repeated measures of related concepts. 44 Second, the data collection in the present study was undertaken in the controlled environment of a laboratory. It is possible that these findings may be impacted upon by environmental factors (eg, weather) inherent to the sporting arena that influence both physiological responses and affective states across temporal aspects of sport competition. ...
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Athletes’ affective states can vary dramatically before, during, and after competition. Further, intense affect is associated withphysiological responses that may amplify biological reactions manifested from the execution of physical tasks underlying performance. Fluctuations in perceptual cues (e.g., perceived exertion) and physiological responses (e.g., blood lactate, heart rate) can influence performance and vary dramatically in relation to competition. However, the pattern of these fluctuations and potential associations between perceptual cues and biological responses may also diverge during task execution with differential implications for performance. Data collected from highly trained athletes (N = 25; Mage = 25.4) during a competition (i.e., maximum total distance) comprised of three 7‐minute cycling time trials, were analysed with longitudinal multilevel modelling. Results showed that affective states were negatively associated with perceived exertion at the within‐person level and negatively associated with heart rate at the between‐person level within each trial. Blood lactate and heart rate were positively associated at the between‐person level, whereas heart rate was positively associated with perceived exertion at the within‐person level. The anticipation of more pleasurable affective states predicted less decline in affective states, but not physiological responses, during each trial. Anticipated affective states prior to each trial were also associated with affective states upon its completion. These findings suggest associations among perceptual cues and physiological responses may differ depending on the level of analysis (between‐ vs. within‐person level associations), and anticipated affective states prior to performance may influence affective states during and after task execution.
... Understanding how technology can be harnessed to promote physical activity has been highlighted as an important direction for future research (Lewis, Napolitano, Buman, Williams, & Nigg, 2017). Accordingly, the present findings are timely and address the lack of practical information that pertains to enhancement of exerciserelated affect (Zenko, Ekkekakis, & Ariely, 2016). Researchers and health professionals are encouraged to explore the potential benefits of employing VR headsets in the exercise context as a means by which to reduce the disconcerting number of people in the developed world who refrain from engagement in regular physical activity (World Health Organization, 2018). ...
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Objectives Physical inactivity remains a major global health concern, and researchers have been encouraged to explore the role of technology in the promotion of physical activity. Technologies that deliver audio‐visual stimuli are frequently applied in the exercise domain. However, there is a paucity of research that examines the efficacy of modern virtual reality (VR) technology in this context. We investigated the effects of VR and music on affective, perceptual, enjoyment, and cardiac responses to aerobic‐type exercise. Design A fully counterbalanced, within‐subjects design was employed. Methods A convenience sample of recreationally active adult volunteers (N = 24) completed a 12‐min protocol during which they exercised under music, VR, VR‐with‐music, and control conditions. Results Analyses indicated a Condition × Time interaction for affective valence and perceived activation. Moreover, a main effect of condition emerged for state attention and perceived enjoyment. The VR and VR‐with‐music conditions elicited the most positive affective valence, highest levels of perceived activation, greatest number of dissociative thoughts, and most exercise enjoyment. Differences between these two conditions were negligible across the breadth of dependent variables. Conclusions The present findings illustrate the efficacy of modern VR technology in the exercise context, applied both with and without musical accompaniment. Additional research is required to assess the degree to which the findings are replicable among sedentary or ageing segments of the population. Given the emerging support pertaining to a positive relationship between affective responses and exercise adherence, VR technology should be considered as a means by which to promote an enjoyable exercise experience.
... However, for this to happen, studies that evaluate the effectiveness of interventions designed to improve affective responses among diverse populations of adults should be prioritized. Recent studies indicate that interventions such as positive imagery (Tempest & Parfitt, 2013), music and video (Hutchinson, Karageorghis, & Jones, 2015;Jones, Karageorghis, & Ekkekakis, 2014), and progressively reducing the intensity of exercise during a bout (i.e., reversing the traditional trend from low to high intensity) can result in significantly improved affective responses even when the intensity is within the heavy domain (Zenko, Ekkekakis, & Ariely, 2016). This line of research must be expanded to address affective responses to exercise experienced across the lifespan, from physical education classes to weight-loss clinics and rehabilitation centers. ...
The study of how people feel when they exercise has been one of the main research directions within the field of exercise psychology since its inception. This chapter reviews the historical bases of research on the affective changes that accompany bouts of exercise. It provides a critical analysis of methodological elements that characterized early research and propose reasonable alternatives. The chapter summarizes the current evidence on the relation between the intensity of exercise and affective responses, examines individual differences that moderate this relation, and surveys emerging evidence on cognitive and neurobiological mechanisms underlying affective responses. It proposes directions for future research, emphasizing the potential for investigations on affective responses to exercise to contribute to ongoing efforts to understand exercise and physical activity behavior from the perspective of dual‐process models.
... This scale would include bipolar measures capturing both the valence (positive or negative) and the intensity of tourist experience at different time points. As an example in experience research,Zenko et al. (2016) applied a bipolar rating scale to evaluate 13 a remembered pleasure-displeasure experience from exercising ranging from -100 (very unpleasant) to +100 (very pleasant) with zero as a neutral point. Similar emotive words and numerical ranges can be used in developing an experienced utility scale. ...
Satisfaction is one of the most studied constructs in many fields, including tourism. As an important marketing metric, satisfaction is typically measured with self-reported retrospective evaluations of travel experience. However, the memory-based approaches have numerous limitations related to social desirability, availability heuristics, previous knowledge, mood at the time of answering questions and do not reflect the moment-by-moment nature of visitor experience. The shortcomings and limitations of self-reported retrospective evaluations could be eliminated by introducing pre-visit, on-site, and post-visit instant components of experienced utility as measures of visitor experience. The experienced utility allows eliminating the majority of self-report biases, capturing the affective components of visitor experience, analysing relationships between anticipation, experienced, and remembered utilities, and applying emerging moment-based research techniques. Therefore, this manuscript proposes a measurable definition of experienced utility and appropriate measures to assess visitor experience.
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The tendency to underestimate how enjoyable exercise will be—an affective forecasting error—is thought to undermine motivation for regular physical activity. We sought to clarify limitations of previous work by examining whether (a) physically inactive individuals show the same forecasting error as physically active individuals, and (b) experienced enjoyment mediates the relation between expected enjoyment and intentions, and whether physical activity levels moderate this relation. Prior to a 30-min workout, physically inactive (60 min of physical activity/week; N 18) and active (150 min of physical activity/week; N 24) individuals reported their expected enjoyment. Afterward, they reported experienced enjoyment and exercise intentions. We found a marginally significant interaction (p .07, partial 2 .08) between group (active, inactive) and time (expected, experienced enjoyment), suggesting the forecasting error differed for active and inactive individuals. Specifically, inactive individuals reported significantly lower expected enjoyment than active individuals (p .02, d .73), but reported similar levels of experienced enjoyment (p .27). We also found that experienced enjoyment mediated the relation between expected enjoyment and exercise intentions for inactive (ab .367, 95% confidence interval [CI] .075, .742) but not active individuals (ab .079, 95% CI .269, .089). The findings suggest that lower expectations for exercise enjoyment characterize physically inactive individuals and provide support for the conclusion that the affective forecasting error undermines motivation for regular physical activity. However, among inactive individuals, experienced enjoyment had a stronger relation with intentions to exercise regularly than expected enjoyment.
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Contemporary theories of exercise behavior have been the products of the so-called cognitive revolution, which has shaped the dominant paradigm in psychology over the past several decades. Cognitive theories rely on the assumption that, in making behavioral decisions, humans collect relevant information and make their selections on the basis of a more-or-less rational analysis of this information. Although the dominance of cognitive theories in the field of exercise psychology is unquestionable, evidence suggests that they leave most of the variance in exercise behavior unaccounted and interventions based on them are of limited effectiveness in changing exercise behavior. This chapter reviews the history and evaluates the potential of an alternative approach, namely the hedonic theory of motivation. This idea, long neglected due the fascination of psychologists with informationprocessing models of the mind, attributes a substantial portion of the variance in decision-making to affective processes. Modern iterations of the idea emerging from the fields of neurology and behavioral economics reaffirm the ancient thesis that, in the long run, humans tend to repeat what makes them feel better and tend to avoid what makes them feel worse. Evidence from studies in the context of exercise suggests that affective responses to exercise vary greatly between individuals. Furthermore, despite a still-evolving methodological platform, preliminary studies show that affective responses to exercise predict subsequent exercise behavior. This line of research and theorizing offers a novel and intriguing perspective on the mechanisms underlying behavioral decision-making in the context of exercise. The literature reviewed in this chapter highlights the need for further research on the motivational implications of affective processes and lays the foundation for the development of a hedonic theory of exercise behavior.
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Background: The efficacy of high-intensity interval training for a broad spectrum of cardio-metabolic health outcomes is not in question. Rather, the effectiveness of this form of exercise is at stake. In this paper we debate the issues concerning the likely success or failure of high-intensity interval training interventions for population-level health promotion. Discussion: Biddle maintains that high-intensity interval training cannot be a viable public health strategy as it will not be adopted or maintained by many people. This conclusion is based on an analysis of perceptions of competence, the psychologically aversive nature of high-intensity exercise, the affective component of attitudes, the less conscious elements of motivated behaviour that reflect our likes and dislikes, and analysis using the RE-AIM framework. Batterham argues that this appraisal is based on a constrained and outmoded definition of high-intensity interval training and that truly practical and scalable protocols have been - and continue to be - developed. He contends that the purported displeasure associated with this type of exercise has been overstated. Biddle suggests that the way forward is to help the least active become more active rather than the already active to do more. Batterham claims that traditional physical activity promotion has been a spectacular failure. He proposes that, within an evolutionary health promotion framework, high-intensity interval training could be a successful population strategy for producing rapid physiological adaptations benefiting public health, independent of changes in total physical activity energy expenditure. Summary: Biddle recommends that we focus our attention elsewhere if we want population-level gains in physical activity impacting public health. His conclusion is based on his belief that high-intensity interval training interventions will have limited reach, effectiveness, and adoption, and poor implementation and maintenance. In contrast, Batterham maintains that there is genuine potential for scalable, enjoyable high-intensity interval exercise interventions to contribute substantially to addressing areas of public health priority, including prevention and treatment of Type 2 diabetes and cardiovascular disease.