THE EFFECT OF MUSIC ON PHYSICAL PERFORMANCE Dedik S. Santoso Louisiana State University - Baton Rouge, Louisiana, USA ABSTRACT The main objective of this study, as mentioned on the title, is to determine whether there is any effect of music on physical task performance. Three different kind of music were used in this study: easy listening/slow music, hard rock music, and subject’s own favorite music. The same physical task without music was also conducted for every subject as the control. To simulate the physical task, each subject has to walk on a treadmill at a constant speed (3 MPH) and inclination (4º) for six minutes. Enough rest was given after a subject finished each task. Four undergraduate and six graduate students were volunteered as subjects in this study. They are three females and seven males. Statistical analysis software programs were used to analyze the results. It is shown from this study that slow music and favorite music have significant effect on the physical task. The heart rate is significantly lower when the subjects listened to a slow music or their favorite music while performing a physical task compared with performing the same task without listening to any music. The heart rate is not significantly different when subjects listened to hard rock music compared with no music listened. On the other hand, VO2 consumption is not significantly different between without music and with all kind of music. Therefore, according to this study, it is beneficial to listen to a certain kind of music while performing a physical task since they lower the heart rate. Keywords: music, physical performance, heart rate, Oxygen consumption. 1. INTRODUCTION Within the scope of the actual work, it is common that the worker always listen to music while they work, whether it be physical or mental / offices. In some offices, it is also common that they play soft music with low volume during working hours. In the work environment, music is used to some purpose, which is to reduce the effect of interfering noise, so feel more relaxed, and others. People who frequently jogging usually wears headphones for listening to music. The effects of music on mental has been investigated by several people. Sailer and Hassenzahl (2000), citing Kjellberg and Landstrom, stating that the noise have a negative influence on concentration, productivity, work capacity, and risk of accidents, although the level of noise / low volume. Beh and Hirst (1999) studied the effects of music on the driver. They concluded that music have a positive effect to improve alertness during driving. To task light, music has no effect, nor loud music disturbing the performance of the driver. Mills (1996) suggests that there is a relationship significant among the aggressiveness of junior high school kid with a fast rhythm music. He concluded that it is very profitable to play music, especially when PE. Copeland and Franks (1991) suggested that fast music and hard not improve performance in phisiologis or psychological. They also found that slow music has an influence to make the feeling more relax. In this study, just as has been alluded to earlier, the influence of music on Physical performance was investigated. 2. THE PURPOSE The main purpose of this study is to determine whether there is influence from music on one's physical performance is reviewed phisiologi. The influence of music against mental has been studied, also its effect on the driver. Effect against physical music has also been investigated by at least Iwanaga and Tsukamoto (1997) and Copeland and Franks (1991). Judging from the effort to improve performance work, this study has significance enough, both of the workers and of the companies, especially in terms of increasing the productivity of labor. Some advantages can be drawn from the results of this study: 1. For industry: improve operational productivity in general. 2. For workers: they can work more efficiently in terms of energy savings and do not get tired. 3. This study is also useful for people who do sports activities. 3. RESEARCH METHODS 3.1 REVIEW Sub-maximal method used in this study, a method commonly is used to determine the relationship between heart rate of oxygen consumption. According Astrand and Rodahl (1986), this method is easy to implement, secure, and relatively low because the subject does not need to reach maximum heart rate where it is can be dangerous. According to Bot and Hollander (2000), a linear relationship between rate heart and oxygen consumption also applies to exercise / physical work nonsteady. With this method, the maximum heart rate of each subject can be determined the equation / regression analysis. 3.2 SUBJECT Ten people who were all students, three women and seven men, in voluntarily participated in this study as subjects. Their average age is 23.9 years. The characteristics of each subject can be seen in Table 1. All subjects familiar with physical tasks to be carried out in this study. List 1. Characteristics of subject subject 1 2 3 4 5 6 7 8 9 10 aver age SD Gender Age P 24 P 21 P 20 L 22 L 39 L 20 L 27 L 23 L 21 L 22 23.9 5. 70 9. 24 10 .3 0 0. 17 Height 169 166 165 187 183 178 170 185 173 160 Weight 70 53 71 88 86 64 74 76 74 65 body surface area BMR (kcal/da y) 1.8 1.58 1.78 2.13 2.08 1.8 1.85 1.99 1.87 1.67 1.85 5 1520 1370 1550 2060 1900 1700 1750 1880 1810 1610 1715 173. 6 72.1 BMR=Basal Metabolic Rate, P =Perempuan, L=laki-laki, SD=Standar Deviasi 3.3 EQUIPMENT a. Deltatrac Metabolic Monitor with printer to measure consumption oxygen (ml / min), carbon dioxide (ml / min), and energy requirements (kcal / day). b. Treadmill Quinton 645 for simulating physical work. c. Digital heart rate monitor type Exersentry III to measure heart rate (beats per minute). d. Audio tape, cassette, CD. 20 7. 16 3.4 EXPERIMENTAL PROCEDURES All the subjects who participated in this research has been to understand the simulation of physical tasks to be carried out, which is run on the treadmill. The data subjects: sex, age, height and weight entered in the measuring instrument Deltatrac which automatically calculates body surface area and BMR. After all data is entered, each subject then running on a treadmill with speed of 4.8 km / h with an inclination of 4º for 6 minutes. Every minute heartbeat they were measured, as well as their oxygen consumption. There are four conditions carried out in this study: 1. The subjects walked on a treadmill without listening to music. 2. The subjects walked on a treadmill while listening to light music. 3. The subjects walked on a treadmill while listening to hard rock music. 4. The subjects walked on a treadmill while listening to their favorite music. When listening to music, they use a headset and volume set by each of them. After completing one session (after 6 minutes walk on treadmill), each subject was given adequate rest until their heart rate back to normal (heart rate at rest). 3.5 STATISTICAL ANALYSIS The statistical program used in this study is Microsoft Excel and SAS (Statistical Analysis System). The effects of music on physical performance measured using á = 0:05. H: There was no difference in heart rate and consumption oxygen for physical work performed while listening to music or not. 4. RESEARCH RESULT The data collected in this study are: 1. The heart rate for each condition every minute. 2. Oxygen consumption (ml / min), carbon dioxide from breathing (ml / min), the energy required to do the job (kcal / day). The data is automatically printed by a printer that is connected to the tool monitor oxygen consumption. Minimum value, maximum, average, and standard deviation of each of the data for all subjects is shown in Table 2. Before the calculation, the following notation will be used to declare different conditions: 1. Work without listening to music called the condition A. 2. The work by listening to light music called the condition B. 3. Work with listening to hard rock music called condition C. 4. Work with your favorite music called conditions D. Analysis of variant for condition B, C, D compared with condition A is calculated by SAS. For the first ANOVA is based on the value of the heartbeat. From the table above, it seems clear that the heart rate is significantly differ between conditions without the music with the conditions with light music (p <0.01). this means, in accordance with Table 2, subjects heart rate decreased significantly when listening to light music when compared to without listening to music. It can be concluded that the hard rock music does not have a significant effect against the heart rate (p> 0.05), although the heartbeat still tend to decline in accordance with Table 2. When the subjects listened to their favorite music, the influence the music is the most significant, which can be seen from the value of p very small (p <0.001). In accordance with Table 2, the average heart rate of all subjects reaching the lowest while listening to favorite music, which is 77.3 beats per minute compared with 79.7 (light music), 83.9 (hard rock). From the table above it is clear that music has no effect significantly to oxygen consumption. All types of music used in this study does not have a significant effect on oxygen consumption. 5. DISCUSSION AND RECOMMENDATIONS 5.1 DISCUSSION From the research that has been shown above, the music has influence phisiologis positive, namely in terms of lowering heart rate. Type of music different provide different levels of influence. The biggest influence given by favorite music. However, in the real world of work, play favorite music is rather difficult to implement because each worker has music different favorite, favorite music because it can be used when each of the they use a headset. Difficulty use of these tools is the lack of access to sounds / voices such as: alarm, orders from superiors, and others. Therefore, by using light music, is sufficient to provide effect on worker performance. On the other hand, according to the results of this study, music has no effect against oxygen consumption. This can be explained as follows. By the time someone do the same physical work, the energy needed to carry out The job is the same for the same work done. Therefore, oxygen needed for combustion energy source in the body are the same. Heart rate decreased significantly for certain music, meaning that when someone to listen to certain music, he feels more relaxed and breathing become much more efficient. The heart that pumps blood more efficiently. With the same amount of oxygen absorbed, generating the same energy, conducted by less pumping by the heart. 5.2 RECOMMENDATION FOR OTHER RESEARCH Field research will probably produce a better conclusion. However, the difficulties that would be faced if such research is conducted in the field is the use of a tool that would be much more difficult. To that end, the simulation work physical might be amended so similar to actual physical work that will researched. By using workers as subjects in research of this kind will give more representative results when compared to using student / student. BIBLIOGRAPHY Åstrand, P.O., and K. Rodahl, 1986. Textbook of Work Physiology, 3 Ed., New York: McGraw-Hill. Beh, H.C., and R. Hirst, 1999. “Performance on Driving-Related Tasks During Music”, Ergonomics, vol. 42 (8), pp. 1087-1098. Bot, S.D.M., and A.P. Hollander, 2000. “The Relationship Between Heart Rate and Oxygen Consumption Uptake During Non-steady Exercise”, Ergonomics, vol. 43 (10), pp. 1578-1592. Copeland, B.L., and B.D. Franks, 1991. “Effects of Types and Intensities of Background Music on Treadmill Endurance”, The Journal of Sports Medicine and Physical Fitness, vol. 31, pp. 100-103. Ferguson, A., M. Carbonneau, and C. Chambliss, 1994. “Effects of Positive and Negative Music on Performance of a Karate Drill”, Perceptual and Motor Skills, vol. 78, pp. 1217-1218. Iwanaga, M., and M. Tsukamoto, 1997. “Effects of Excitative and Sedative Music on Subjective and Physiological Relaxation”, Perceptual and Motor Skills, vol. 85 (1), pp. 287-296. Mills, B.D., 1996. “Effects of Music on Assertive Behavior During Exercise by Middle School-Age Students”, Perceptual and Motor Skills, vol. 83 (2), pp. 423-426. Sailer, U., and M. Hassenzahl, 2000. “Assessing Noise Annoyance: An ImprovementOriented Approach”, Ergonomics, vol. 43 (11), pp. 1920-1938.