PREFERRED MODALITY INFLUENCES ON EXERCISE-

Similar documents
There has been an increase in research to examine

Mood and Anxiety Scores Predict Winning and Losing Performances in Tennis

MOOD PROFILING DURING OLYMPIC QUALIFYING JUDO COMPETITION: A CASE STUDY TESTING TRANSACTIONAL

The Impact of Pre-Exercise State on Self-Selected Exercise

Ogden, J., Whyman, C. (1997) The effects of repeated weighing on psychological state. European Eating Disorders Review 5,

Differential assessment of emotions and moods: Development and validation of the Emotion and Mood Components of Anxiety Questionnaire

EMOTIONAL STATES OF ATHLETES PRIOR TO

The Effect of Drumming on Mental Well-being among Adults with Mood Disorders

Competitive orientations and motives of adult sport and exercise participants

MENTAL TOUGHNESS: IS IT THE KEY TO ACADEMIC SUCCESS?

Self-Efficacy And Psychological Skills During The Amputee Soccer World Cup

Implications of a Behavioral Weight Loss Program for Obese, Sedentary Women: A Focus on Mood Enhancement and Exercise Enjoyment

CHAPTER THREE JOURNAL MANUSCRIPT

Exercise Prescription Certificate Course

Study Guide Test #1 Chapter 1-8

The Needs of Young People who have a Sibling with Cancer.

URL: <

Measure of mood. Development and Validation of a Mood Measure for Adolescents. Peter C. Terry, Andrew M. Lane, Helen J. Lane, and Lee Keohane

Environmental Correlates

Chronic Fatigue Syndrome (CFS) / Myalgic Encephalomyelitis/Encephalopathy (ME)

Testing the Persuasiveness of the Oklahoma Academy of Science Statement on Science, Religion, and Teaching Evolution

Stress affects college students' physical, men- eluding the ability to learn, remember and concental,

Exercise Progression for the Cardiac, Pulmonary & PAD Patient

MOTIVATION OF FEMALE SECONDARY STUDENTS TOWARDS PARTICIPATION IN PHYSICAL ACTIVITIES IN HONG KONG

Intrinsic Motivation Inventory (IMI)

Canterbury Christ Church University s repository of research outputs.

Effects of Biofeedback-Aided Relaxation on the Psychological Stress Symptoms of College Students

Preventing Burnout: Rest, Relaxation, and Reduced Stress

Exploring the relationship between selfefficacy

MOOD AND PERFORMANCE: TEST OF A CONCEPTUAL MODEL WITH A FOCUS ON DEPRESSED MOOD. Andrew M. Lane, University of Wolverhampton, U. K. Peter C.

Developing a Healthy Eating Policy. Healthy Club Canteens Guide

Comparison of long - Term Effects of Internal Imagery and Progressive Muscle Relaxation on Brunel Mood among Malaysian and Iranian Taekwondo athletes

BEHAVIORAL ASSESSMENT OF PAIN MEDICAL STABILITY QUICK SCREEN. Test Manual

4. Conduct the study 5. Analyze data and develop sound conclusions from the results

PSYCHOSOCIAL AND PHYSICAL BENEFITS OF EXERCISE AMONG RURAL SECONDARY SCHOOL STUDENTS

Competitive Anxiety and Coping Strategies in Young Martial Arts and Track and Field Athletes

A VIDEO SERIES. living WELL. with kidney failure LIVING WELL

Chapter 5. Group & Social Influences on Exercise

Leisure Motivation of Participants and Nonparticipants in Campus Recreational Sports Programs

EFFECT OF DIFFERING INTENSITIES OF EXERCISE ON AFFECT AND ENJOYMENT MEGAN S. NICKRENT THESIS

Young People in 2000

Extraversion and Neuroticism in Contact Athletes, No Contact Athletes and Non-athletes: A Research Note

UCLA Social Support Inventory * (UCLA-SSI) Christine Dunkel-Schetter. Lawrence Feinstein. Jyllian Call. University of California, Los Angeles

PERCEIVED AUTONOMOUS HELP AND RECIPIENTS WELL-BEING: IS AUTONOMOUS HELP GOOD FOR EVERYONE?

(Presentation, 2002 annual meeting of the American Psychosomatic Society, March 16-20, 2002, Barcelona, Spain)

Physical Activity and Psychological Benefits: A Position Statement

Dealing with Feelings: The Effectiveness of Cognitive Behavioural Group Treatment for Women in Secure Settings

The introduction of Internet gambling has caused

An International Study of the Reliability and Validity of Leadership/Impact (L/I)

Investigating Motivation for Physical Activity among Minority College Females Using the BREQ-2

Prospect. *Entry level* *No equipment required* *12 weeks* December 2018 (1 st Ed.)

Impact of exercise partner attractiveness on mood, enjoyment, and exertion

Learn How to Enhance Your Career by adding Stress Management Specialization Recorded July 25, 2017

Access from the University of Nottingham repository:

Journal of Undergraduate Kinesiology Research

Exercises for Chronic Pain

Athletic Identity and Life Roles of Division I and Division III Collegiate Athletes

Study of Meditational Role of Self-Esteem in the Relationship Between Perfectionism and Competitive Anxiety Elite Athletes

The use of a mental imagery intervention to enhance integrated regulation for exercise among women commencing an exercise program

Managing Psychosocial and Family Distress after Cancer Treatment

ACE Personal Trainer Manual, 4 th edition. Chapter 2: Principles of Adherence and Motivation

College of Education HEALTH, PHYSICAL EDUCATION, RECREATION & COACHING COURSES (PEPROF, HEALTHED, RECREATN, COACHING, PEGNRL)

Physical exercise in MS / Tallinn Anders Romberg, PhD, Physical Therapist Neuro Society / Masku Neurological Rehabilitation Centre

Manipulating Achievement Motivation in Physical Education By Manipulating the Motivational Climate

Indian Journal of Physical Education, Sports and Applied Sciences, Vol.7, No.1, January, 2017

IMPACT OF SELF-CONSCIOUSNESS ON CHOKING UNDER PRESSURE IN BASKETBALL PLAYERS

Mindfulness as a Mediator of Psychological Wellbeing in a Stress Reduction Intervention for Cancer Patients - a randomized study

An investigation into the acute effect of exercise on physiological and psychological responses to musical performance

Lifestyle/Readiness for Change Assessment

X-Plain Exercising For a Healthy Life Reference Summary

Validity and Reliability of Sport Satisfaction

A STUDY OF ADJUSTMENT PROBLEMS OF COLLEGE STUDENTS IN RELATION TO GENDER, SOCIO-ECONOMIC STATUS & ACADEMIC ACHIEVEMENT

Observational the researcher collects information on attributes or measurements of interest but DOES NOT influence the results.

Training tips for a trekking challenge. Believe you can. Introduction

Florida State University Libraries

Focus of Today s Presentation. Partners in Healing Model. Partners in Healing: Background. Data Collection Tools. Research Design

Persistent Fatigue in a Female Sprint Cyclist After a Talent-Transfer Initiative

How Effective is the Total Gym ELEVATE Row?

Flow in computer-human environment

ACHIEVEMENT GOALS AND MOTIVATIONAL CLIMATE IN COMPETITIVE GYMNASTICS CLASSES

leisure or sport skills living activities and other activities with vigor Ø Physical fitness: ability of the body to respond to physical demands

Your guide to recovery. Treating concussions

Physical fitness : ability of the body to respond to physical. Skill-related fitness : ability to perform specific leisure or sport

The U.S. Surgeon General recommended in

Internal Consistency and Reliability of the Networked Minds Measure of Social Presence

What are the Sources of Stress? Going for the 3 Increases: Increase in Health, Increase in Happiness & Increase in Energy

PERSONAL OPERATING MANUAL

British Columbia & Yukon - Curriculum Links

WORK VALUE AS MOTIVATIO AMO G SOFTWARE PROFESSIO ALS

As you have a degree of basic fitness and confidence, 3 months or so of training should prepare you for your challenge.

SAU 16. Physical Education Curriculum. (Spring 2002)

EASY INSTRUCTIONS FOR COMPLETING THE PFR. May 5, 2000

Overtraining in Young Athletes

Perceived Stress as Predictor of Psychological Well-being among Indian Youth

Influence of exercise habits and physical fitness level on subjective fatigue symptoms in adolescents

Youth Strength Training

The Relationship of Competitiveness and Achievement Orientation to Participation in Sport and Nonsport Activities

Table of Contents. Part 1

ABSTRACT. Keywords: Sport participation, perceived barriers; international students ISSN:

4. American College of Sports Medicine, American Heart Association. Exercise and acute cardiovascular events: placing the risks into perspective.

Transcription:

Journal of Sports Science and Medicine (2005) 4, 195-200 http://www.jssm.org Research article PREFERRED MODALITY INFLUENCES ON EXERCISE- INDUCED MOOD CHANGES Andrew M. Lane 1, Andrew Jackson 2 and Peter C. Terry 3 1 University of Wolverhampton, UK 2 Brunel University, UK 3 University of Southern Queensland, Australia Received: 20 January 2004 / Accepted: 30 April 2005 / Published (online): 01 June 2005 ABSTRACT The present study tested, both retrospectively and prospectively, exercise-induced mood changes among regular exercisers. Specifically, it examined the extent to which preferred exercise modality promoted greater mood benefits. A group of 25 exercise participants (M = 35.5 yr., SD = 10.5 yr.) took part in the study. All participants had exercised at least three times a week (M = 3.5, SD = 2.3) during the previous year. Participants completed a 14-item Exercise Preference Questionnaire to provide retrospective evaluations of their most- and least-preferred type of exercise. For the prospective investigation, participants completed the Brunel Mood Scale (BRUMS) 15 minutes before and immediately after their most- and least-preferred exercise sessions. One week separated completion of each exercise session. Retrospective assessment of exercise-induced mood changes showed strong support for enhanced mood following the preferred mode of exercise. Also, as hypothesized, prospective results showed that mood enhancement was greater following the preferred exercise modality, but significant mood enhancement also occurred following the least-preferred modality among experienced exercisers. In conclusions, findings support the principle that exercise can provide psychological benefits to its participants, in the form of positive affective outcomes, something that appears to be enhanced by preferred exercise modality. Given the important public health implications of exercise adherence, future research should seek to further investigate the mechanisms of exercise-induced mood enhancement. KEY WORDS: Mood, emotion, affect, exercise, preferred modality, POMS, BRUMS. INTRODUCTION Exercise-induced mood enhancement is a frequently investigated topic in exercise psychology, although the mechanisms involved are not well understood (Biddle, 1995; Buckworth and Dishman, 2002; Mutrie and Biddle, 1995). The importance to public health of understanding these mechanisms is evidenced by the findings of Thayer et al (1994), who showed that 44% of a sample of the general population reported exercise as an effective strategy to regulate mood. In a review of salient research, Berger and Motl (2000) cited evidence of both acute and chronic mood enhancement following exercise, and identified several factors proposed to maximize its mood-enhancing effects. These factors included duration of 20-30 minutes, moderate intensity, regular frequency (3 x week), rhythmic breathing, predictable and repetitive movements, and an absence of interpersonal competition. They also cited enjoyment as a variable that may moderate mood changes. Recent research has also shown that perceived satisfaction with performance during exercise exerts significant influence on mood enhancement (Bartholomew and Miller, 2002). Generally, there has been a paucity of research to

196 Preferred modality and mood changes assess the impact of individual factors, such as enjoyment and perceived satisfaction with performance, on mood changes following exercise. Previous research into mood changes following exercise has tended to focus on the type and intensity of exercise (Bartholomew, 1999; Bartholomew et al., 2001). Although findings generally show that exercise enhances mood, the degree of mood enhancement varies between studies. Berger and Motl s (2000) proposal that moderate exercise is associated with greater mood enhancement was based on the balance of evidence (i.e., more studies supported this proposal than refuted it). It is suggested that attitudes toward exercise, in particular, preference for a specific exercise modality and perhaps for one exercise intensity over another, may have contributed to the equivocality of research findings. Research into exercise-induced mood changes may have underestimated the impact of at least three important variables preferred modality of exercise, naturalistic exercise settings, and the exercise experience of participants. For example, most investigations of exercise-induced mood changes have used experimental or quasi-experimental designs (Bartholomew, 1999). Such research designs have tended to involve participants in exercise modalities prescribed by the researcher (s) rather than self-selected modalities. Thus, participants in such studies may have been unfamiliar with the prescribed form of exercise, which may have limited its mood-enhancing effects. Compared to prescribed forms of exercise, self-selected modalities would appear to offer greater potential for mood enhancement. In a recent study, Daley and Maynard (2003) compared affective responses to a prescribed exercise session (i.e., cycling) and a preferred exercise session. Daley and Maynard used the Positive and Negative Affect Schedule (PANAS: Watson et al., 1998) to assess mood. No differences in exercise-induced mood responses were found, although given that 10% of participants also chose cycling as their preferred mode of exercise, this was perhaps unsurprising. However, Daley and Maynard acknowledged as a limitation of their design that exercise testing took place in laboratory conditions rather than in the usual exercise setting of participants, and suggested that future research should investigate the effects of preferred activity on mood in a naturalistic setting. Finally, the importance of considering the exercise experience of participants in research investigating mood changes has recently been emphasized (Lane and Lovejoy, 2001). Given that regular exercisers are more likely to endorse the benefits of exercise over the effort required to complete the exercise session (Bartholomew and Miller, 2002) it is appropriate from the perspective of both ecological validity and the potential for experimental effects, to use experienced exercisers as participants in investigations of exercise-induced mood changes. The purpose of the present study was to test, both retrospectively and prospectively, the effectiveness of exercise as a strategy to improve mood among individuals who exercised regularly. The research sought to control for experience effects by selecting participants whose exercise habits met the criteria for mood improvement proposed by Berger and Motl (2000). Specifically, an exploration of whether preferred exercise modality promoted mood regulation benefits was the key issue of interest. It was hypothesized that the most-preferred exercise modality of participants would induce more positive mood changes compared to their leastpreferred modality. METHODS Participants Twenty-five volunteer exercisers participated in the present study (Age: M = 35.5 yr., SD = 10.5 yr.). Seven participants were males and 18 were females. All participants had exercised three times a week or more (M = 3.5, SD = 2.3) for at least one year. Measures Mood was assessed using the Brunel Mood Scale (BRUMS: Terry et al., 1999; 2003). The BRUMS, a shortened derivative of the Profile of Mood States (POMS, McNair et al., 1971) contains 24 items to assess six dimensions of mood -- Anger, Confusion, Depression, Fatigue, Tension, and Vigor. Validation studies have demonstrated satisfactory psychometric characteristics for the BRUMS among more than 3000 participants, in support of its factorial and predictive validity (Terry et al., 1999; 2003). Recent research has provided evidence of factorial validity for the BRUMS among a sample of 975 exercisers who completed the measure before and after exercise (Lane et al., 2002). Confirmatory factor analysis indicated acceptable fit indexes both preand post-exercise. Items are rated on a 5-point scale anchored by not at all (0) and extremely (4). In the present study, BRUMS factor scores were transformed into standard score format (M = 50, SD = 10) using normative data for adult exercisers. The BRUMS was chosen as the preferred measure of mood because, unlike alternative measures, it was validated for use with a British population. Exercise Preference Questionnaire

Lane et al. 197 Participants completed a 14-item questionnaire to provide retrospective evaluations of their most- and least-preferred type of exercise, based on a measure developed by Thayer et al (1994). They first chose their most-preferred exercise modality from among those they had experienced over the past month. Most-preferred exercise modalities were abdominal exercises (n = 2), circuit training (n = 4), cycling (n = 2), running (n = 9), walking (n = 2), and weight training (n = 6). Participants rated the extent to which their most-preferred exercise session had been effective in promoting mood benefits generally and in changing six specific dimensions of mood, corresponding to the BRUMS subscales (Anger, Confusion, Depression, Fatigue, Tension and Vigor). This process was repeated for their least-preferred exercise modality over the past month. Leastpreferred exercise modalities were abdominal exercises (n = 2), arm strengthening (n =2), cycling (n = 2), leg strengthening (n = 2), rowing (n = 2), running (n = 4), stepper (n = 9), and weight training (n = 2). Perceptions of the effectiveness of exercise to change mood were recorded on a 9-point Likert scale, anchored by 1 = not at all effective and 9 = extremely effective. Procedure Data were collected over a three-week period. In the first week, participants completed the Exercise Preference Questionnaire, to retrospectively assess the mood-regulating qualities of their most-preferred and least-preferred exercise session during the past month. Participants were randomly assigned to two different orders of presentation in terms of doing a most-preferred and least-preferred exercise session during subsequent weeks. In weeks 2 and 3, mood changes associated with these sessions were assessed prospectively. Half the sample completed their most-preferred exercise session in week 2 followed by their least-preferred session in week 3. The other half completed the exercise sessions in the opposite weeks to control for order effects. Each exercise session lasted 30 minutes. Ethical approval for the research was granted from the University of the second author. Written informed consent was obtained from participants before testing commenced and assurances of confidentiality were provided. Participants completed the BRUMS approximately 15 minutes before and immediately after exercising, using the response timeframe How are you feeling right now? All exercise sessions were performed at a fitness club in the London area. From previous experience as exercisers at the club, all participants were familiar with the exercise equipment and exercise protocols used in the present study. Participants were treated in accordance with the ethical guidelines of the American Psychological Association and no incentives for participation in the study were offered. RESULTS A repeated-measures MANOVA was used to compare retrospective reports of the moodregulating effects of participants most- and leastpreferred exercise sessions during the past month. As hypothesized, participants reported that their most-preferred exercise session had been significantly more effective in enhancing mood. As shown in Table 1, participants reported the advantages of their most-preferred exercise modality in enhancing mood generally and, more specifically, Table 1. Retrospective reports of mood-regulating effects of most- and least-preferred exercise (LPE) modalities (n = 25). Data are means (±SD). Most-preferred Least-preferred F 1, 24 exercise exercise If you are feeling in a bad mood, how effective is 6.38 (1.50) 3.29 (1.94) 37.87 * If you are feeling angry, how effective is exercise in 6.38 (1.56) 3.21 (1.87) 18.95 * changing this mood? If you are feeling confused, how effective is 4.67 (2.06) 2.75 (1.68) 29.49 * If you are feeling depressed, how effective is 5.46 (1.32) 2.92 (1.64) 27.94 * If you are feeling fatigued, how effective is exercise 6.00 (1.50) 3.71 (2.03) 40.83 * in changing this mood? If you are feeling tense, how effective is exercise in 6.04 (1.23) 3.46 (1.98) 12.53 * changing this mood? If you are not feeling vigorous, how effective is 6.00 (1.59) 3.42 (1.79) 35.03 * Note. Wilks' Lambda 6,18 = 0.42, p <.001; * p < 0.001

198 Preferred modality and mood changes Table 2. Pre- and post-exercise mood reports for most- and least-preferred exercise modalities (n = 25). Data are means (±SD). Mood Pre-exercise Post-exercise Anger Most-preferred exercise 58.64 (22.68) 48.56 (8.18) Least preferred exercise 53.40 (15.45) 52.65 (11.12) Confusion Most-preferred exercise 45.87 (6.02) 42.56 (1.78) Least preferred exercise 45.04 (8.13) 43.88 (3.70) Depression Most-preferred exercise 52.28 (12.27) 46.29 (3.01) Least preferred exercise 54.89 (12.90) 51.50 (9.40) Fatigue Most-preferred exercise 54.50 (12.94) 50.55 (12.23) Least preferred exercise 56.69 (11.55) 53.62 (10.50) Tension Most-preferred exercise 40.11 (4.20) 38.16 (2.15) Least preferred exercise 42.05 (6.93) 39.26 (2.96) Vigor Most-preferred exercise 44.03 (10.57) 59.19 (6.57) Least preferred exercise 41.28 (8.94) 44.56 (8.68) in decreasing scores for Anger, Confusion, Depression, Fatigue and Tension, and increasing scores for Vigor. Descriptive statistics for the prospective assessment of mood changes during exercise are contained in Table 2. A 2 x 2 repeated-measures MANOVA (time x exercise modality) showed a significant main effect of time (Wilks lambda 6,18 =.72, p < 0.01, Partial Eta 2 = 0.28), no main effect of exercise modality (Wilks lambda 6,18 = 0.92, p > 0.05, Partial Eta 2 = 0.02), and a significant interaction effect (Wilks lambda 6,18 = 0.84, p < 0.05, Partial Eta 2 = 0.17). Univariate effects showed that Depression (F 1,24 = 5.09. p < 0.05, Partial Eta 2 = 0.05) and Tension (F 1,24 = 6.82, p < 0.05, Partial Eta 2 = 0.07) scores decreased, while Vigor scores increased (F 1,24 = 26.34. p < 0.001, Partial Eta 2 = 0.22) regardless of exercise modality. Importantly, the interaction effect showed that the increase in Vigor scores (F 1,24 = 10.91, p <.01, Partial Eta 2 = 0.11) was significantly greater following the mostpreferred exercise session compared to the leastpreferred session. Reductions in Anger, Confusion, Depression, and Fatigue scores were greater for the most-preferred exercise modality, although these differences were not significant. Given the number of variables and the relatively few participants involved, the statistical significance of observed differences would have been affected by low statistical power. Therefore, to summarize improvements in mood more succinctly, we calculated a measure of Total Mood Disturbance (TMD: Anger + Confusion + Depression + Fatigue + Tension Vigor). A repeated-measures ANOVA (time x exercise modality) of TMD scores showed a significant main effect of time (F 1,23 = 17.53, p < 0.001, Partial Eta 2 = 0.43), a significant main effect of mode of exercise (F 1,23 = 20.39, p < 0.001, Partial Eta 2 = 0.47), and a significant interaction effect (F 1,23 = 7.69, p < 0.05, Partial Eta 2 = 0.26). These effects showed that the most- and leastpreferred forms of exercise both produced significant mood enhancement, but that mood enhancement was significantly greater for the mostpreferred exercise modality compared to the leastpreferred modality. DISCUSSION The present study investigated how preference for exercise modality influenced exercise-induced mood changes in a naturalistic setting. Retrospective ratings endorsed the notion that participation in most-preferred exercise activities was a more effective strategy for improving mood than participation in least-preferred activities. This is not

Lane et al. 199 surprising; especially given the possibility that the mood benefits that participants associate with a particular exercise modality might be the very characteristics that cause them to prefer that form of exercise in the first place. However, it is important to contextualize the meaning of the term leastpreferred session described in the present study. All participants were regular exercisers, whose leastpreferred session was performed as a normal part of their weekly program, not one imposed by the researchers. Therefore, even least-preferred sessions could be assumed to have more attraction, either in terms of perceived physiological or psychological benefits, than exercise modalities not included in their weekly program at all. Prospective assessment of exercise-induced mood changes showed, as hypothesized, that the most-preferred exercise modality was associated with greater mood enhancement, in particular increased perceptions of vigor. Consistent with previous research, results also showed that exercise was associated with mood enhancement regardless of exercise modality (Berger and Motl, 2000). An important feature of the present study was that participants were regular and experienced exercisers. Among this population, it appears that mood enhancement is a normal outcome of exercise, even for the least-preferred elements of their weekly program, but preferred exercise modalities bring about additional improvements in mood. The taxonomy for mood enhancement from exercise proposed by Berger and Motl (2000) suggested that enjoyment is an important factor in determining mood benefits. If enjoyment can be operationalized in terms of a preference for a particular exercise modality, then the present results are supportive of Berger and Motl s suggestion. Findings of the present study contrast with those reported by Daley and Maynard (2003). At least two factors might explain these differences. First, participants in the present study indicated their least-preferred activity, against which to compare the effects of their most-preferred activity; whereas Daley and Maynard prescribed cycling as the comparison activity, which some participants also reported to be their preferred activity. Second, Daley and Maynard tested participants in a laboratory rather than a naturalistic setting where the individuals typically exercised. We suggest that our findings support the notion that research to examine exercise-induced mood responses should be conducted in ecologically valid settings. Previous research into exercise-induced mood changes has particularly implicated exercise intensity as an influential variable (Bartholomew, 1999; Berger and Motl, 2000). For example, Berger and Motl (2000) proposed that moderately intense exercise was the mode of choice if mood enhancement is the goal. In the present study, some participants reported high intensity exercise sessions as their most-preferred modality whereas others preferred high-intensity forms of exercise least. This suggests that individual differences would play an influential role in the exercise intensity mood enhancement relationship, and their moderating influence might form the focus for future research A second line of future research should investigate reasons why individuals learn to enjoy one form of exercise over another. It should be noted that retrospective mean scores for the effectiveness of preferred exercise was 6.38 (SD = 1.50) on a scale anchored by 9, thus it is possible to further enhance the benefits of exercise even when participants use their preferred modality. Enhanced knowledge on why individuals learn to enjoy exercise could help the design of intervention strategies designed to improve the psychological benefits from exercise. The importance of the present findings lies in at least three distinct areas. First, the results confirm the significant mood-enhancing effects of exercise, regardless of modality, among regular exercise participants in a naturalistic setting. Second, the results show that preferred exercise modality is associated with even greater mood-enhancing effects, especially in terms of generating perceptions of increased vigor. Third, the results support the notion that significant mood enhancement accrues from exercise that is consistent with the recommendations of Berger and Motl (2000) but may also accrue from exercise that is not consistent with those recommendations. CONCLUSIONS Overall, these findings support the principle that exercise can provide psychological benefits to its participants, in the form of positive affective outcomes. Future research into exercise-induced mood changes should seek to further understand the reasons why individuals prefer one modality of exercise over another and to develop strategies to enhance the psychological benefits from exercise. REFERENCES Bartholomew, J.B. (1999) The effect of resistance exercise on manipulated preexercise mood states for male exercises. Journal of Sport and Exercise Psychology 21, 39-51. Bartholomew, J.B. and Miller, B.M. (2002) Affective responses to an aerobic dance class: the impact of perceived performance. Research Quarterly for Exercise and Sport 73, 301-309. Bartholomew, J.B., Moore, J., Todd, J., Todd, T. and Elrod, C.C. (2001) Psychological states following

200 Preferred modality and mood changes resistant exercise of different workloads. Journal of Applied Sport Psychology 13, 399-410. Berger, B.G. and Motl, R.W. (2000) A selective review and synthesis of research employing the Profile of Mood States. Journal of Applied Sport Psychology 12, 69-92. Biddle, S.J.H. (1995) Exercise and psychosocial health. Research Quarterly for Exercise and Sport 66, 292-297. Buckworth, J. and Dishman, R. (2002) Exercise psychology. Champaign, IL: Human Kinetics. Daley, A.J. and Maynard I. (2003) Affect and choice of exercise mode during and after acute exercise. Journal of Sports Sciences 21, 267-268. Lane, A.M. and Lovejoy, D.J. (2001) The effects of exercise on mood changes: The moderating effect of depressed mood. Journal of Sports Medicine and Physical Fitness 41, 539-545. Lane, A.M., Firth, S., and Terry, P.C. (2002). Mood changes following exercise. Paper presented at the XXV International Congress of Applied Psychology, July 7-12th Singapore. Making life better for all: A challenge for Applied Psychology, 321. McNair, D.M., Lorr, M. and Droppleman, L.F. (1971) Manual for the profile of mood states. San Diego, CA: Educational and Industrial Testing Services. Mutrie, N. and Biddle, S.J.H. (1995) The effects of exercise on mental health in nonclinical populations. In: European perspectives on exercise sport psychology. Ed: Biddle, S.J.H. Champaign, IL: Human Kinetics. 50-70. Terry, P.C., Lane, A.M. and Fogarty, G.J. (2003) Construct validity of the Profile of Mood States-A for use with adults. Psychology of Sport and Exercise 4, 125-139. Terry, P.C., Lane, A.M., Lane, H.J. and Keohane, L. (1999) Development and validation of a mood measure for adolescents. Journal of Sports Sciences 17, 861-872. Thayer, R.E., Newman, R. and McClain, T.M. (1994) Self-regulation of mood: strategies for changing a bad mood, raising energy, and reducing tension. Journal of Personality and Social Psychology 67, 910-925. Watson, D., Clark, L.A. and Tellegen, A. (1998) Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology 54,1063-1070. AUTHORS BIOGRAPHY Andrew M. LANE Employment Professor in Sport and Exercise Psychology, School of Sport, Performing Arts and Leisure, University of Wolverhampton, UK Degrees BA, PGCE, MSc, PhD. Research interest Mood, emotion, measurements, coping, and performance E-mail: A.M.Lane2@wlv.ac.uk Andrew JACKSON Employment Postgraduate Researcher in Sport and Exercise Psychology, Department of Sports Sciences, Brunel University, UK Degrees BSc, MSc. Research interest Mood, emotion, exercise prescription and exercise leadership Peter C. TERRY Employment Professorial Research Fellow, University of Southern Queensland, Department of Psychology, Toowoomba, QLD 4350, Australia Degrees BA, PGCE, MSc, PhD Research interest Mood, emotion, measurements, applied psychology, and performance E-mail: terryp@usq.edu.au KEY POINTS A great deal of exercise shows that exercise is associated with positive mood following exercise. Previous research has sought to determine whether one form of exercise improved mood states more than others. The present study investigated the extent to which personal preference of exercise modality influenced mood changes following exercise. Participants completed mood state scales before and after exercise. Results support the notion that exercise can provide psychological benefits to its participants, in the form of positive affective outcomes, something that appears to be enhanced by preferred exercise modality. Professor Andrew Lane School of Sport, Performing Arts, and Leisure, University of Wolverhampton, Walsall Campus, Gorway Road, Walsall, WSI 3BD, UK.