The psychological, psychophysical and ergogenic effects of music in sport: A review and synthesis

This is the post-print of this chapter - Copyright @ 2008 RoutledgeWe have presented two complementary conceptual approaches underlying the study and application of music in sport and exercise contexts [103, 104]. We have also established that music can be applied to sports training and competition in many different ways, and have provided 573 initial evidence for a quartic relationship between exercise heart rate and music tempo preference. One of the main demonstrated benefits of music is that it enhances psychological state, which has implications for optimising pre-competition mental state and increasing the enjoyment of training activities. Used synchronously, music can boost work output and makes repetitive tasks such as cycling or running more energy efficient. When we embarked upon our programme of research almost two decades ago, our intention was to promote more judicious use of music. The evidence that we have accumulated coupled with the findings of many other researchers from around the world, should allow athletes and practitioners to tap the psychological, psychophysical and ergogenic effects of music with greater precision

Path analysis examining relationships among antecedents of anxiety, multidimensional state anxiety, and triathlon performance

The official published version of this article can be found at the link below. This is a authors’ draft of the paper: Copyright @ Perceptual and Motor Skills, 1995The study explored predictive paths for antecedents of anxiety, state anxiety responses, and performance. Male triathletes (N = 175) completed a modified Competitive State Anxiety Inventory-2 which included the original intensity scale and a direction scale of Jones and Swain. They also completed a 23-item Prerace Questionnaire which measured antecedents of anxiety among triathletes. Factor analysis of intercorrelations for the Prerace Questionnaire identified six factors similar to those found in 1995 by the present authors. Path analysis to predict state anxiety from antecedents of anxiety indicated that rated intensity of anxiety was predicted by the perceived difficulty of race goals and by perceived readiness. Direction of anxiety was predicted by coach's influence, recent form, and perceived readiness. Path analysis to predict performance from state-anxiety scores and antecedents of anxiety indicated that recent form predicted performance directly without mediation of anxiety responses. Anxiety scores did not predict performance. The findings support the notion that intensity and direction of anxiety responses have different antecedents

Hierarchical confirmatory factor analysis of the flow state scale in exercise

In this study, we examined the factor structure and internal consistency of the Flow State Scale using responses of exercise participants.This self-report questionnaire consists of nine subscales designed to assess flow in sport and physical activity. It was administered to 1231 aerobic dance exercise participants. Confirmatory factor analyses were used to test three competing measurement models of the flow construct: a single-factor model, a nine-factor model and a hierarchical model positing a higher-order flow factor to explain the intercorrelations between the nine first-order factors. The single-factor model showed a poor fit to the data. The nine-factor model and the hierarchical model did not show an adequate fit to the data. All subscales of the Flow State Scale displayed acceptable internal consistency (alpha > 0.70), with the exception of transformation of time (alpha = 0.65). Collectively, the present results do not provide support for the tenability of the single-factor, nine-factor or hierarchical measurement models in an exercise setting

Use and perceived effectiveness of pre-competition mood regulation strategies among athletes

The well-established link between mood and sport performance highlights a need for athletes to develop mood regulation strategies. The present study investigated such strategies among 195 volunteer athletes. Participants completed the Regulation of Feelings Scale, a 37-item measure assessing frequency of use and perceived effectiveness of strategies to reduce feelings of anger, confusion, depression, fatigue, tension, and increase feelings of vigour on the day of a competition. The most popular strategies were “engage in physical pre-competition activities”, “spend time alone”, “give myself a pep talk”, “talk to someone about my feelings”, and “use humour”. Frequency of use and perceived effectiveness of strategies varied according to the specific mood dimension athletes sought to regulate. Strategies did not differ by gender, type of sport, or level of competition, but the order in which strategies were presented to the athletes influenced their responses. Exploratory factor analyses for each of the six mood dimensions did not support a theoretical model, which proposed that mood regulation strategies can be grouped into four types – behavioural distraction, behavioural engagement, cognitive distraction, and cognitive engagement. The present findings provide a rich source of information that may help to guide interventions among applied practitioners

Flow and exercise-induced feelings

The present study examined the relationship between self-reported levels of Flow (Csikszentmihalyi, 1975) and the post-exercise feelings of Positive Engagement, Revitalisation, Tranquillity, and Physical Exhaustion (Gauvin & Rejeski, 1993) using responses from 1, 231 aerobic dance exercise participants. Vallerand’s (1987) intuitive-reflective appraisal model of self-related affects and Csikszentmihalyi’s (1975) conceptual framework for optimal experience served as the guiding theoretical frameworks. It was hypothesised that self-reported flow would be positively associated with revitalisation, tranquillity and positive engagement while statistical independence was expected for physical exhaustion. First, participants completed the Flow State Scale (Jackson & Marsh, 1996) and second, the Exercise-induced Feeling Inventory (Gauvin & Rejeski, 1993) immediately after an aerobic dance exercise class. Latent variable analyses showed that the higher-order Flow factor was positively associated with post-exercise Positive Engagement, Revitalisation, and Tranquillity, but not with Physical Exhaustion. Flow state explained 35% of the variance in Positive Engagement, 31% of the variance in Revitalisation, and 22% of the variance in Tranquillity. It is concluded that self-reported flow in aerobic dance exercise is moderately associated with the experience of positive post-exercise feelings. Physical educators may wish to employ interventions to facilitate the flow experience during lessons that involve structured exercise

Arterial oxygen content is precisely maintained by graded erythrocytotic responses in settings of high/normal serum iron levels, and predicts exercise capacity: an observational study of hypoxaemic patients with pulmonary arteriovenous malformations.

Oxygen, haemoglobin and cardiac output are integrated components of oxygen transport: each gram of haemoglobin transports 1.34 mls of oxygen in the blood. Low arterial partial pressure of oxygen (PaO2), and haemoglobin saturation (SaO2), are the indices used in clinical assessments, and usually result from low inspired oxygen concentrations, or alveolar/airways disease. Our objective was to examine low blood oxygen/haemoglobin relationships in chronically compensated states without concurrent hypoxic pulmonary vasoreactivity.165 consecutive unselected patients with pulmonary arteriovenous malformations were studied, in 98 cases, pre/post embolisation treatment. 159 (96%) had hereditary haemorrhagic telangiectasia. Arterial oxygen content was calculated by SaO2 x haemoglobin x 1.34/100.There was wide variation in SaO2 on air (78.5-99, median 95)% but due to secondary erythrocytosis and resultant polycythaemia, SaO2 explained only 0.1% of the variance in arterial oxygen content per unit blood volume. Secondary erythrocytosis was achievable with low iron stores, but only if serum iron was high-normal: Low serum iron levels were associated with reduced haemoglobin per erythrocyte, and overall arterial oxygen content was lower in iron deficient patients (median 16.0 [IQR 14.9, 17.4]mls/dL compared to 18.8 [IQR 17.4, 20.1]mls/dL, p<0.0001). Exercise tolerance appeared unrelated to SaO2 but was significantly worse in patients with lower oxygen content (p<0.0001). A pre-defined athletic group had higher Hb:SaO2 and serum iron:ferritin ratios than non-athletes with normal exercise capacity. PAVM embolisation increased SaO2, but arterial oxygen content was precisely restored by a subsequent fall in haemoglobin: 86 (87.8%) patients reported no change in exercise tolerance at post-embolisation follow-up.Haemoglobin and oxygen measurements in isolation do not indicate the more physiologically relevant oxygen content per unit blood volume. This can be maintained for SaO2 ≥78.5%, and resets to the same arterial oxygen content after correction of hypoxaemia. Serum iron concentrations, not ferritin, seem to predict more successful polycythaemic responses

Interacting effects of soil fertility and atmospheric CO 2 on leaf area growth and carbon gain physiology in Populus × euramericana (Dode) Guinier

Two important processes which may limit productivity gains in forest ecosystems with rising atmospheric CO 2 are reduction in photosynthetic capacity following prolonged exposure to high CO 2 and diminution of positive growth responses when soil nutrients, particularly N, are limiting. To examine the interacting effects of soil fertility and CO 2 enrichment on photosynthesis and growth in trees we grew hybrid poplar ( Populus × euramericana ) for 158 d in the field at ambient and twice ambient CO 2 and in soil with low or high N availability. We measured the timing and rate of canopy development, the seasonal dynamics of leaf level photosynthetic capacity, respiration, and N and carbohydrate concentration, and final above- and belowground dry weight. Single leaf net CO 2 assimilation (A) increased at elevated CO 2 over the majority of the growing season in both fertility treatments. At high fertility, the maximum size of individual leaves, total leaf number, and seasonal leaf area duration (LAD) also increased at elevated CO 2 , leading to a 49% increase in total dry weight. In contrast, at low fertility leaf area growth was unaffected by CO 2 treatment. Total dry weight nonetheless increased 25% due to CO 2 effects on A. Photosynthetic capacity (A at constant internal p(CO 2 ), (( C 1 )) was reduced in high CO 2 plants after 100 d growth at low fertility and 135 d growth at high fertility. Analysis of A responses to changing C 1 indicated that this negative adjustment of photosynthesis was due to a reduction in the maximum rate of CO 2 fixation by Rubisco. Maximum rate of electron transport and phosphate regeneration capacity were either unaffected or declined at elevated CO 2 . Carbon dioxide effects on leaf respiration were most pronounced at high fertility, with increased respiration mid-season and no change (area basis) or reduced (mass basis) respiration late-season in elevated compared to ambient CO 2 plants. This temporal variation correlated with changes in leaf N concentration and leaf mass per area. Our results demonstrate the importance of considering both structural and physiological pathways of net C gain in predicting tree responses to rising CO 2 under conditions of suboptimal soil fertility.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/65655/1/j.1469-8137.1995.tb04295.x.pd

Computational Models of Classical Conditioning guest editors’ introduction

In the present special issue, the performance of current computational models of classical conditioning was evaluated under three requirements: (1) Models were to be tested against a list of previously agreed-upon phenomena; (2) the parameters were fixed across simulations; and (3) the simulations used to test the models had to be made available. These requirements resulted in three major products: (a) a list of fundamental classical-conditioning results for which there is a consensus about their reliability; (b) the necessary information to evaluate each of the models on the basis of its ordinal successes in accounting for the experimental data; and (c) a repository of computational models ready to generate simulations. We believe that the contents of this issue represent the 2012 state of the art in computational modeling of classical conditioning and provide a way to find promising avenues for future model development