Effects of exercise and outcome feedback on mood: evidence for misattribution.
Turnbull, Michael ; Wolfson, Sandy
Considerable research supports the view that physical activity
promotes psychological well-being, with positive effects on mood and
self-esteem demonstrated across many forms of chronic and acute exercise
(see Biddle, Fox and Boutcher, 2000). Indeed, analyses by Craft and
Landers (1998) and Byrne and Byrne (1993) conclude that exercise could
be an effective treatment for clinical depression and anxiety.
Many explanations for the positive psychological effects of
long-term fitness have been hypothesised, including combinations of
improved physical health, enhanced feelings of attractiveness, and
increased self-efficacy. The reasons for short-term effects of acute
exercise are more difficult to tease out, with theorists differing
widely in their focus on such distinct processes as distraction,
escapism, mastery and chemical production (Seraganian, 1993).
Many examples of short term improvements in mood following discrete
bouts of exercise have been demonstrated (Biddle, Fox and Boutcher,
2000; Yeung, 1996). McGowan, Talton and Thompson (1996) reported
positive changes in affect among college students following physical
activity, and Kennedy and Newton (1997) found decreases in tension,
depression, fatigue and anger after a high-intensity step aerobics session
Although the literature recognises the difficulties in establishing
the processes underlying these phenomena (Ojanen, 1994; Tomporowski and
Ellis, 1986), the majority of sport psychology textbooks and papers
support unquestionably the view that exercise has overwhelmingly
beneficial effects on well-being. Not all psychological theory, however,
predicts that physical exertion will inevitably promote well-being.
Misattribution perspectives (see Schacter, 1999; Zillmann, 1978) imply
that under certain circumstances physical exertion might actually be
associated with a negative shift in mood. This is likely to occur when
residual arousal induced by exercise is misattributed to a subsequent
aversive stimulus.
Zillmann's (1978) theory of excitation transfer is based on
the notion that people have difficulties interpreting the causes for
their own physiological state. He proposes that the sympathetic nervous
system produces similar symptoms of arousal, such as increased heart
rate, shortness of breath and sweating, not only during exercise but
also in a wide range of different situations such as those involving
fear, excitement, anticipation, and sexual attraction. Arousal
indicators on their own are not sufficient for an individual to assess
what has caused them, bringing about the possibility of
misinterpretation.
Two classic studies showed some interesting evidence for the
misattribution process. Schachter and Singer (1962) found that people
who had been given epinephrine but were uninformed that the drug would
induce arousal symptoms were highly influenced by the presence of an
angry or euphoric bystander compared to those who had been told to
expect the symptoms. People in the latter group presumably had a
ready-made interpretation for their arousal, whereas the former
misinterpreted their arousal in line with the bystander's
behaviour. Dutton and Aron (1974) found that men who crossed a rickety suspension bridge responded much more positively to an attractive woman
than those crossing a safe, solid bridge. Here the arousal which was
initiated by the frightening bridge was seen to have transferred to
attraction toward the woman. Thus an overall intensified experience of
mood change in a positive or negative direction can be determined by the
nature of the accompanying environmental conditions. Misattribution
effects have also been implicated in the context of misinterpretations
of drunkenness (Epps, Monk, Savage and Marlatt, 1998) and aggression
(Taylor, O'Neal, Langley and Butcher, 1991).
These findings suggest that exercise-induced arousal can be
similarly misinterpreted. An individual who has just engaged in physical
exertion will be physiologically aroused and have little problem
identifying the source of this activation. After a period of rest,
however, the obvious physiological markers of physical exertion (e.g.
racing pulse, panting, perspiring) have largely dissipated, and the
individual feels recovered from the exertion. At this point, because
arousal is slow to decay, increased levels of arousal still remain
(Cantor, Zillman and Bryant 1975; Gollwitzer, Earle and Stephan 1982).
Under these circumstances, people will have difficulties identifying the
source of their arousal. Indeed, they may only be vaguely if at all
cognizant of the fact that they are still aroused. At such times they
are susceptible to attributing their residual arousal to whatever
salient cues are available in the environment rather than to the
exercise. If the environmental conditions are positive (such as a radio
broadcast of good news or a compliment from an admired person), then
people will associate their arousal with the positive stimulus and thus
experience an intensified good mood. However, if these conditions are
aversive, the result will be an increased negative mood. In other words,
the residual arousal initially induced by exercise is transferred and
added to the response to the second stimulus. This effect should be
particularly likely to occur among people who are unfamiliar with their
physiological responses to exercise, as they will be more susceptible to
confusion about the reasons for their arousal.
Cantor, Zillmann and Bryant (1975) exposed male undergraduates to
an erotic film immediately after they had exercised, or after five
minutes later, or after their arousal had returned to baseline level.
Those for whom five minutes had elapsed rated the film as significantly
more erotic and exciting than did those in the immediate or delayed
conditions. The experimenters suggested that the 'immediate'
group correctly attributed their arousal to the exercise, and the
'delayed' group had no arousal to attribute, but the
five-minute group misattributed their residual exercise-induced arousal
to the film. Similar misattribution effects of exercise have been found
by Zillmann, Katcher and Milavsky (1972) with aggressive behaviour,
Martin, Harlow and Strack (1992) with affective responses to a story,
and Sinclair et al. (1994) with reactions to primed concepts.
However, none of these studies has examined how misattribution
might affect a person's response to a competitive situation. Given
that combinations of physical exertion and competition are integral
elements of many sport activities, an increased insight into excitation
transfer effects might be useful in understanding and predicting sport
behaviour. The present study was designed to investigate this among a
group of people who were relatively unfamiliar with their physiological
response to exercise recovery. It was hypothesised that when such people
exercised and were subsequently informed that they had performed better
than the others on a cognitive task, they would experience an
intensified positive response relative to other winners who had not
exercised. However, when such people exercised and were then told that
they had performed poorly, they would experience an intensified negative
response compared to people who had not exercised.
Method
Design and Measures
A 2 x 3 independent factorial design was employed, varying exercise
(exercise or no exercise) and outcome feedback (positive, neutral or
negative). The dependent variables were the six Profile of Mood States (Lorr and McNair, 1988) subscales which form the POMS-B1 measure of
overall mood. Constructed in response to the proliferation of mood
measures which focus on negative affect in clinical settings, the
POMS-B1 is designed to measure both positive and negative mood among
normal and clinically abnormal populations. As reviewed in Berger and
Owen (1988), the bipolar 'right now' version of the POMS is
highly sensitive to changes in mood in normal populations, and it has
been used successfully in studies of exercise and mood (Kolt and Kirkby,
1994; Stanton and Arroll, 1996).
Participants and Procedure
Potential participants were approached by the experimenter and
asked a series of questions, some of which were buffers. The key
recruitment item asked how often they took part in activities involving
physical exercise. If no regular sport or exercise was indicated, they
were asked if they would be willing to participate in a study of the
effects of various factors on the performance of a task. All
participants were assured that they could leave the study at any time if
they wished, and this point was reiterated after the experimental
instructions were given. Twenty six female (M age = 22.22) and 28 male
(M age = 22.15) eligible undergraduate students volunteered to
participate.
All participants were tested in randomly-assigned triads. After all
three had arrived at the laboratory, each participant was shown into one
of three identical adjacent cubicles and proceeded to complete the
'right now' version of the POMS. On completion, participants
took part in a 20-minute cognitive task, either accompanied by exercise
or not. Participants in the exercise condition were told to exercise by
stepping rhythmically on and off the aerobic step in front of them.
Measurements by Oldam (1995) showed that this type of exercise led to
significantly elevated heart rate during exercise compared to a baseline
measure, followed by a significant drop within a five minute rest period
and a further significant drop to the baseline rate after ten minutes.
The cognitive task was administered through audio cassette. Eight
sets of number strings, similar to those used in the WAIS-R (Wechsler,
1981) digit span scale, were presented. Each set contained an initial
number string followed by two alternatives, A and B. Number strings
varied in length from eight numbers in the first trial to eleven in the
last trial. In five of the sets either A or B was identical to the
initial string. In order to increase the ambiguity of the eventual
feedback, the three other sets contained no correct answer. For example,
Initial String 6 was 5 2 9 4 6 7 3 1 8 2. Test String 6A was 5 2 9 6 4 7
3 1 8 2, and Test String 6B was 5 2 9 4 6 7 3 1 8 2.
The participants were given a stack of cards numbered from 1 to 8.
For Trial 1 the participant put Card 1 into one of two large bins
labeled A and B, depending on whether they believed Test String A or B
was the correct answer. This procedure continued for all 8 trials and
was designed to allow exercise to continue uninterrupted throughout the
session.
Following the 20 minute test period, all participants sat down and
relaxed for five minutes. This ostensibly gave the experimenter time to
calculate individual performance on the cognitive task, but it also
allowed residual arousal to dissipate to a level where excitation
transfer would be likely to occur.
Having rested, participants remained in their individual cubicles
and were assigned feedback sheets informing them they had come first
(positive feedback), second (neutral feedback) or third (negative
feedback) out of the three people taking part in the task. Participants
then completed the second POMS, after which debriefing occurred. All
participants within each triad actually received the same outcome
feedback so that subsequent debriefing information given regarding the
false nature of the feedback would be believable after the full purpose
of the experiment was disclosed.
Results
The overall mood score was derived in accordance with the POMS-BI
manual (Lorr and McNair, 1988). As there were no significant differences
between the initial POMS scores of the participants across the
conditions, the changes between initial and final mood were analysed
using a 2 x 3 independent measures ANOVA. A score of zero represents no
mood change, positive scores represent improved mood changes and
negative scores negative changes. The results of the analysis of overall
mood are illustrated in Figure 1.
A significant main effect for exercise, F(l, 48)=4.18, p <.05,
revealed that participants who exercised during the task had
significantly higher mood scores overall (M =.99, sd=7.40) than
non-exercisers (M=-.62, sd=2.96). A main effect, F(2, 48)=61.46,
p<.001, was also found for outcome feedback, with positive (M = 4.94,
sd=4.24) and neutral feedback (M = 1.26, sd=2.87) associated with higher
mood scores than negative feedback (M=-5.64, sd=3.48).
The exercise by feedback interaction was significant,
F(2,48)=12.48, p<.001. Analysis of the interaction using planned
comparisons showed that exercisers' mood improved significantly
compared to non-exercisers' mood following positive feedback, F(1,
48) = 13.828, p < 0.001 and neutral feedback, F(1, 48) = 7.168, p
<0.01, while exercisers were found to be in a significantly worse
mood than non-exercisers following negative feedback, F(1, 48)=8.14, p
<0.006.
Analyses of the six constituent POMS scales revealed significant
interactions for Composed-Anxious, Agreeable-Hostile, Elated-Depressed,
Confident-Unsure, and Confused-Clearheaded. On all of these, people who
had exercised reacted more intensely to the feedback they received than
those who had not exercised. The pattern for Energetic-Tired was similar
but not significant. The individual means are shown in Table 1.
Discussion
The results provide evidence for misattribution effects. As
predicted, exercisers receiving positive feedback were significantly
higher in mood improvement than non-exercisers receiving the same
feedback, while exercisers receiving negative feedback were
significantly lower in mood improvement than non-exercisers. It appears
that the residual arousal which remained following a rest from the
exercise may have been transferred to the participants' subsequent
experience, leading to an intensified response to that stimulus.
Exercisers receiving neutral feedback also experienced a greater
mood improvement than non-exercisers, though not as extremely as those
who received positive feedback. This could be interpreted in several
ways. The neutral feedback took the form of a 'middle' result,
wherein the participants were informed that they had come in second
place out of three. Perhaps the recipients of this message felt a degree
of comfort that they had not actually lost. If so, their relief combined
with the residual arousal could indeed have produced elevated positive
affect. Alternatively, if the feedback was actually perceived as
neutral, the improved mood state might simply have been a direct
response to the exercise (Kennedy and Newton, 1997; McGowan, Talton and
Thompson, 1996).
These results suggest that when physical exertion is combined with
a positive or neutral outcome, mood shifts are likely to be elevated in
a positive direction. This is in keeping with the main thrust of the
literature which illustrates a wide range of positive effects associated
with exercise. However, contrary to the more optimistic view highlighted
in many research reports, improved mood is not necessarily an inevitable
result of exercise. When combined with a negative outcome, exercise
might very well yield a reverse effect, leaving people feeling
frustrated, depressed or angry.
The current findings cast some doubt on both social and chemical
production explanations often proposed to account for feelings of
euphoria associated with exercise (see Biddle, 1995; Longand Vanstavel,
1995; and Rostadand Long, 1996). Any distractions or opiate-like effects
should theoretically offer some inoculation against negative emotions
following physical activity. The results are more consistent with
Everly's (1989) suggestion that aerobic exercise can only be
expected to serve as a stress management tool if it is unevaluative and
egoless: a competitive element which allows people to experience losing,
disappointment and the desire for revenge can interfere with the
otherwise healthful characteristics of exercise. Although Everly did not
elaborate on this view from an attributional perspective, his
observations are wholly compatible with the predictions of excitation
transfer theory.
The current sample consisted of sedentary people for whom
excitation transfer was particularly likely to occur, given their
relative unfamiliarity with their physiological response to exercise.
Theoretically, the less acquainted one is with one's response to
exercise, the more susceptible that person should be to excitation
transfer effects. Therefore, it is conceivable that the present findings
might not generalise to people with more active lifestyles, and further
research is needed to investigate such groups.
On the other hand, no matter how highly trained athletes might be,
it would no doubt prove difficult for them to assess just how much of
their physiological arousal comes from one source as opposed to another.
Even the most experienced exerciser is unlikely to have developed a
foolproof method for apportioning how much accumulated arousal emanates
from exercise and how much from a subsequent experience. This could have
important implications for aggressive behaviour in sport. For example, a
football player who is aroused as a result of physical exertion could be
highly susceptible to provocative behaviours from an opponent or
aversive decisions from a referee. Unable to separate out the physically
induced from the socially induced arousal, the player might very well
overreact in a negative fashion to a physical transgression or unwelcome
comment. This could explain why players who have been fouled will often
respond aggressively, even when they are intellectually aware that their
assailant is likely to be pun ished and that their own retaliative act
can only lead to their being reprimanded or removed from the game.
Heyman (1993) notes that behavioural control amongst competitors
sometimes requires time to reset. Excitation transfer theory proposes a
theoretical base to determining this resetting time. An aggressive
reaction should be particularly likely to occur after the performer has
had a short period of time to 'recover' from the physical
activity. At this point the residual arousal, if consciously sensed at
all, is likely to seem far removed from the original exertion but is
nonetheless operative. An ice hockey player who commits a foul and is
taken out of the game to 'cool off' for a few minutes might
thus actually return to the game primed to take offense to any hostile
act. Quite apart from having a calming effect, the 'sin bin'
(penalty box) might actually serve to increase the likelihood of further
aggressive behaviour. Perhaps performers and coaches need to be
familiarised with excitation transfer effects so that they are fully
aware of the exerciser's susceptibility to negative responses
following unpleasant results or provocation.
The attributional approach on which the current study is based
conceptualises arousal as an activated physiological state, not an
emotional condition. The cognitive label attached to the aroused state
establishes how this arousal is defined, and the ensuing interpretation
plays an integral role in determining the affective and behavioural
response. This stance represents a departure from much of the sport
psychology literature, where arousal and anxiety are often seen as
interchangeable, or where arousal is seen as a type of anxiety. The
widely used CSAI-2, or Competitive State Anxiety Scale (Martens, Vealey
and Burton, 1990), for example, contains items such as "My heart is
racing" and "My hands are clammy" which contribute to a
somatic anxiety score. According to Zillmann's approach, these
somatic symptoms could well be interpreted in such diverse ways as
excitement, exhilaration or sexual interest, and so might only be
considered indicative of anxiety if interpreted accordingly. It is thus
conceivable that elite performers who interpret their
'anxiety' symptoms as facilitative (see Jones and Swain, 1995)
might not, in attributional terms, be experiencing a state of anxiety in
the first place.
The present study did not measure arousal directly, but based its
assumptions on past research which shows clear increases in arousal
indicators following similar forms of physical exertion. Different
levels of exercise intensity would no doubt mediate the strength of
misattribution effects and the time at which they would occur. Level of
intensity might in turn interact with fitness-related individual
differences. Such differences need to be explored in future research so
that misattribution phenomena can be better applied to a variety of
sports situations. In this context, of particular importance is the
identification of the intermediate point at which arousal is no longer
salient to the exerciser but has not yet returned to baseline level, as
this is when the individual should be most susceptible to excitation
transfer effects.
Finally, a replication of these results using other mood measures
might be attempted. Similar interaction patterns within each of the mood
states measured in the POMS-BI were found in the present study.
Nonetheless, Wormington, Cockerill and Nevill (1992) found
inconsistencies between the original monopolar POMS (McNair, Lorr and
Droppleman, 1971) and the bipolar version, although Lorr and McNair
(1988) report validating evidence supporting the bipolar nature of
moods. It is conceivable that shorter measures might more accurately
measure mood in a sports environment (Grove and Prapavessis, 1992), as
they should be more sensitive to temporary mood changes. Given that the
patterns of results in the present study for the six mood subscales were
so similar, the value of measuring different kinds of mood may be
questioned, especially in light of the intercorrelations reported by
Lorr and MeNair (1988).
[FIGURE 1 OMITTED]
Table 1
Individual POMS Mean Differences/Standard Deviations as a Function of
Exercise and Outcome Feedback
EXERCISE NO EXERCISE
1st 2nd 3rd 1st 2nd
Place Place Place Place Place
Composed- 7.67 4.11 -6.78 2.00 -0.22
Anxious 4.58 2.80 6.08 3.39 2.22
Agreeable- 6.22 4.26 -8.89 4.33 0.11
Hostile 5.31 1.81 4.26 4.06 3.33
Elated- 12.11 1.56 -11.00 7.11 1.67
Depressed 5.37 5.36 9.01 5.37 2.96
Confident- 8.00 4.11 -7.67 3.22 -2.44
Unsure 6.48 5.42 5.22 3.63 3.88
Energetic- 3.56 2.67 -3.22 -1.67 -0.33
Tired 9.32 6.24 4.58 5.89 6.30
Confused- 7.33 3.11 -8.00 -0.67 -2.22
Clearheaded 9.72 2.52 5.72 4.33 4.44
TOTAL 7.48 3.09 -7.59 2.39 -0.57
NO ANOVA Results
EXERCISE
3rd Main Main Interaction
Place Effect Effect
Place Exercise
F F F
p< p< p<
Composed- -3.67 34.46 5.09 7.19
Anxious 1.32 .001 .05 .001
Agreeable- -4.11 46.94 ns 5.63
Hostile 2.52 .001 .05
Elated- -5.00 44.43 ns 4.33
Depressed 3.32 .001 .02
Confident- -4.11 26.35 ns 5.75
Unsure 3.18 .001 .05
Energetic- -1.00 ns ns ns
Tired 4.87
Confused- -4.22 13.51 4.39 5.50
Clearheaded 4.00 .001 .05 .05
TOTAL -3.69 61.46 4.18 12.48
.001 .05 .001
Note: Positive scores indicate positive mood change
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Address Correspondence To: Dr. Sandy Wolfson, Dept. of Psychology,
Northumberland Building, University of Northumbria at Newcastle,
Newcastle upon Tyne NEI 8ST, England.