Õm Òs 2010 z Ä 75~84 ms { úóì ¼Â-- ÕÀ ms ms { úóì ¼Â-- ÕÀ ms g x¹ wx Ÿ ÕÀ ms Òs!!é! ¹ ¼Â¹»ê ÕÀ ms s s úó Ÿ t ñ ÕŒÒüs úóz É tˆ ¹ d Ðx Ÿ ÕÀ ms 2094 µ 84

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1 g x¹ wx Ÿ ÕÀ ms Òs!!é! ¹ ¼Â¹»ê ÕÀ ms s s úó Ÿ t ñ ÕŒÒüs úóz É tˆ ¹ d Ðx Ÿ ÕÀ ms 2094 µ 848 xn 1246 s ¼Âtð úóš ¹ ö É x ö{xò ÕÒÐ x» Õ~ÒÐ ñ SPSS for windows 10.0 ÔmçÊêö á² É ˆùÊê xé xö É µ ÄÉh 45-50%y n ÄÉh 40-47% x x ö{µ Ä Éh 27%y n ÄÉh 30-45% x xò ÕÒÐ µ ÄÉh 40-70%y n ÄÉh 50-55% xgx» µ ÄÉh 18-30% y n ÄÉh 30-35% x x~òð µxn ÄÉüh 10% xéì s ö{ ú ƒ êë» Õ~ÒÐ Ÿ ëz ƒ ž x î¹ d É s ÒŒsìÁÕêËêµ ƒóˆ s { kú úóž x ë ÕÀ msx úóz x ÄÉx úó Ãx úê Ð Ÿ hh y u {rô 666 á ë º spchang@ctust.edu.tw 75

2 lxëì x¼âò ² Ô Õ ÄÀ ä y Õ z º yù ó i ö Â ¹t t tõ úóù æù ú Ð êm ² ¹t ˆ (Hsu, Kim, Kabir, Bergman, 2007; Takase et al, 2008)xúµ ö ˆŽg úó Ÿ úð têmï t ˆŽg {x þ Œ Õ }mz lx sðx w 2004 xk ö þ é}ú Ð êm (Sofi, Capalbo, Cesari, Abbate, Gensini, 2008) Ð t ñ ˆ œ Ï(Kriska & Preeira, 1994)xæŒ æ Ï 2003 ì gms Ï ~åå Œ ó é gžî ú Õ Ð Œî Caspersen Ä (2000) œ þž ú x ŒÒüì ñ ¹ µ g úóæ²ü ¹² gsã úóæ² Ž n gs 2005 z úóš ˆ Äµ w î ŒÒü 2005 j ms úóh ˆ ŒÄ Õüùgsm } ² s úóæ² nüùgss Ž~ÒÐ ¹ Ûy¹µg þ e 2007 œé }g µí Õýx úó(physical fitness) { úó(health-related fitness)õã úó (sports performance-related fitness) Á { úó ë { úž þé ÖsÏ ö úƒ xú Õ³k Ê Ó ú 1997 úó n h z y úƒó x Û ñõ Ð Œî tõ ú ú óäòò g ÒÒs ù k ²ð ms þúþõòò 12.7% 13.0%(Yen et al, 2008) gµ þúþõòò¹æ 30.5%Õ 19.2% n 21.3% Õ 13.4% ñ nx rzx gž 2008 ÒÒ í Ï î þégé Ž ÓwÉ Ž uä ièu k Ï ~ÕåÅ þé gr(despres & Lemieux, 2006; Galassi, Reynolds, & He, 2006)xgœ s sž { œh Ò sr éú{ ú ˆ Ó ú { x x¼â¹ ¼Â¹»ê ÕÀ ms s s úó Ÿ t }ñ Õ ŒÒüs úóz É tˆ ¹ d Ðx 76

3 ñx¼â Ÿ x¼âtð ¼Â ÕÀ ms 96 szä 2 s 2094 s µ 848 xn 1246 ¼Âtðx x Á ¼Â ŒÒü ês Á žµu 1997 ¹ m s š ¹ ho }x uô ÕóhxÃsôú Õµ 1600 uxn 800 uôóäx s Ê kt ö Ÿ ëþæ úúð š úúð íí ùõ } Ÿx úó Áhnh 1 x h 1 úó Áh x ¹ ¼Â úó ö É ö x þxö ñþ Œ ö{ ho } xò ÕÒÐ uô Õóh x» Ãsôú ~ ÒÐ µ 1600 uxn 800 uôó Ä ¹x gxñ á² ñ SPSS for windows 10.0 ÔmçÊêö á² É ˆùÊê úæ É zh Õ yæ x 77

4 xé Õêì x s µ ö É æ 1 ÕÀ ms s µ ö É j ñ æ (N=848) ÉÀ ö ( ) þ( ) ö ñþ Œ(BMI) {Às 172.6± ± ±2.7 Å²s 173.9± ± ± ± ± ±2.8 s Ë ê {Às xî²s ÕÅ²s Ä ms Ðî²s µ Œ t Œ ¼Â tî²s µ É x ¼Âµ Œ Œ } 848 {Às 536 xå²s 312 zhz 20.3²1.8 œxµæ 1 s µ ö É j ñ æ }¼ Å²s µ ö µ { Às µ 1.3 þ þ 2.8 zh ÕŒÒü úóz t«µ ö ÄÉ 55% þ ÄÉ 50% ö ñþ Œ 45-55% x ŒÒü s ö ñþ Œ œz Ú g Òs 2007 Ð µ Œh gœ µ ö ñþ Œhœz Ïx æ 2 ÕÀ ms s n ö É j ñ æ (N=1246) ÉÀ ö ( ) þ( ) ö ñþ Œ(BMI) {Às 160.0± ± ±2.1 î²s 159.2± ± ±2.5 Å²s 159.1± ± ± ± ± ±2.3 ¼Ân Œ Œ } 1246 {Às 336 xî²s 407 xå²s 403 zhz 20.1²2.1 œxµæ 2 s n ö É j ñ æ }¼ {Às ö s þ Žî²s þ 52.7²7.2 {Às ö ñþ Œ t 19.9²2.1 î²s Œ 20.8²2.5 Ø zh ÕŒÒü úóz t«n ö ÄÉ 47% þ ÄÉ 42% ö ñþ Œ 40-47% x ŒÒü s ö ñþ Œ œz Ú g Òs 2007 Ð n Œh gœ n ö ñþ Œhœz Ïx x úó ¼Â úóš ho }x uô ÕóhxÃsôúÕµ 1600 uxn 800 uôóäx s µ úóš É tõœòü ú Óz t«äé úó ÃÉ ë»ês ú Óæ²ÕÄÉx 78

5 æ 3 ÕÀ ms ÉÀµ úó éæ (N=848) ÉÀ ho } uô Õóh Ãsôú 1600 uôó {Às 29.1± ± ± ±87.1 Å²s 29.7± ± ± ± ± ± ± ±88.7 h ö{æ² Å²s {Às ÌÁn ÕŒÒü úó Ã t«} s ÄÉüh 27%y u ÄÁ{xhÒ xòð æ² Å²s µ zh 41.1²7.8 {Às µ 37.5²7.4 Å²s ÄÉ 70% É Ûh ñ Ã Ï Ð {Às ÄÉ 45% É Ûh Ä Ï gœ {Às µ hò xòð ŒdÂ xh» æ² s Ãsôú Ì¹y 9.9 m ªÅ²s zh {Às m 9.9 ÕŒÒü úó Ãë } ² Å²s ÄÉ 30% Ä {Às ÄÉ 18% ì gœ {Às µ h }ƒ» êëxh~òð æ² s ~ÒÐ æ²ü}y Å²s 740.5²91.2 À ÄÉh 5% {Às 598.1²87.1 À ÄÉ 10% s Õ úó Ãë üžì gœ s µ ~ÒÐ º }y n Œd ƒž þ x æ 4 ÕÀ ms ÉÀn úó éæ (N=1246) ÉÀ ho } uô Õóh Ãsôú 800 uôó {Às 31.1± ± ± ±46.9 î²s 34.3± ± ± ±45.7 Å²s 30.5± ± ± ± ± ± ± ±46.3 n h ö{æ² î²s Ì n 34.3²7.5 Å²s Ì y 30.5²7.3 ÕŒÒü úó Ãt«} ÄÉh 30-45% u Ä Á{xhÒ xòð æ² {Às Ì y 27.2²9.3 ÄÉh 40% u ÄÁ{ î²s ÕÅ²s ÄÉh 50-55% É Ûh ñ Ã Ï } xh» æ² s Ìh yô m ÕŒÒü úó Ãë } ² ÄÉh 30-35% É Ûh Ä Á{ xh~òð æ² s ~ÒÐ æ²ü}y š Ì n {Às 346.4²46.9 À ÄÉh 6%y s ÄÉ Žh 5% úó Ãë üžì gœ µxns ~ÒÐ º ƒëé nn êëx µ É ú œêì úóš É Õ gƒ úxµ ö ñþ Œh n h ØÕŒÒü Œ µ Œ 18-25xn Œ ¹ µxns ö ñþ ŒhÛh Ï } xö É h úó Õú æ² { ¹ Žhx Ÿ 2006 Ð ˆ Õé}ú Ž t þõ ÓÒ 79

6 Œ Ÿ(Hansen et al, 2007) éê { ö É ~ éé ú x ˆ æ Œî Œµ 2002 xgœ t ö ñþ Œ s ƒê ú á Õœ¾ ú é~ j é} ú Ð tóþ Ê {Õ n ö i xh ö{æ² µ ÄÉh 27%y n ÄÉh 30-45% t«úó Ã u ÄÁ{xgœ}¼ µxns ö{û Œd Â x ž 1997 h œ ö Å ö{ ú 20 œ } Ûz k ö{ îy œ ŽØŸ ˆ úµ u ö{ ù t Ž Ð ö{ Õú s ¹µm (Corbin, Welk, Corbin, Welk, 2008) gœ ˆ s ö{ž së x hò xòð æ² î²s n Å²s µxn hœ æ ² µ š É Ûh ñ Ï } ÌÍ Ð {Às µxn ÄÉh 40-45% É Ûh Ä ü ƒê ÌÍ ŸxÒ h z Ž z~ Ò Ûz ÐË h í i 1997 gœ ƒ s m ú ú{ ÕþþêË kúò ÕÒÐ xh» æ² ú µxn ÄÉh 30-35% {Às µ ÄÉh 18%ì k }Ÿ É µxn» ú óxãsôúž Ž ÒÒÒ» éh þd Ž Ò Ò k þ d Ž ÒÒ k þóm» uó ƒ xê Úxês} 2008 xgœ t s ÒÒ u ƒ h ÒìÁ }ô Œ êë Œds Ò x h~òð æ² º }y s µxn ÄÉüh 5% Ø ÕŒÒüz 20 œét«µ Ézh À z À À m Ðn Ézh À z À m gœ s ~ÒÐ ƒ Œdx¼Â tz ú Œs êë ƒ ~Ò Ó é¹ (Laporte, Dearwater, Cauley, Slemenda, & Cook, 1985) ú ŽŒd~ÒÐ ú ú 1997 Ð~ÒÐ Ž úóëþ Ó æ ÓÕ { Ÿ ü 2005 x Øé ˆ ms Ó ƒéj s é} ú Ð ú œj Éöú ~ 2003 x ÒxÉìÕ î ÕÀ ms 96 szt s úóš É Õêì ˆ ÉìÕ îx x s ö{ ú ƒ êë h¹ ìá ˆ ²±ìÁîs ú ˆ öúó ž x xò xòð æ²h ñ ÃÄÉ s ƒê ÄÁ{ s ƒê Í Ÿx x Ò» Õ~ÒÐ Ÿ ëz ƒ ž t Ž~ÒÐ s ¹ d ƒþ tœ²ðú œ»ê ˆ Œdêµ j s é}ú Ð ø²¹ 80

7 Ó Ãò ¹ sóœdõˆ s úóž x Ð Ú g Òs 2007 x Ú g úóî«mts úµ xœòü æ x ú 1997 x ú x ú Ë Œz úó t x y ŒÒü Ò x Œµ 2002 x úóœsx y À x žµu 1997 x úó š Õëþx ú Ë Œz úó t 320 x y ŒÒü Ò x æœ æ Ï 2003 x2003 z { þ Êêj x yx e 2007 x úóé Ðëê æë x Ú Òs x ŒÒü 2005 x úóš ˆ Äµ w îx yx lx sðx w 2004 x g úóœä Ãxú ² Ó sj x ž 1997 x ö{õ u x ú Ë Œz úó t x y ŒÒü Ò x ƒ xê Úxês} 2008 xgã Õms 96 sz{s { úó²ÿ ¼Âx x Žhx Ÿ 2006 xˆê ŒsìÁtms ö É } xú ² Ósj x ~ 2003 xîé}ú m Ïx z{ {Õ ÒsÐ jìáêêõœsë ¼ê u y gãu z x ñ nx rzx gž 2008 x ú g Õ { i g Õu t É jt--õ Ì Õ¹ { úäµxõ s ë x í i 1997 xþþêëx ú Ë Œz úó t 155 x y ŒÒü Ò x ü 2005 x ú tg ÒÒs úó ¼Âx ¾lì gãõ zåms yx Caspersen, C. J., Pereira, M. A. & Curran, K. M. (2000). Changes in physical activity patterns in the United States, by sex and cross-sectional age. Medicine and science in sports and exercise, 32(9), Corbin, C. B., Welk, G. J., Corbin, W. R., & Welk, K. A. (2008). Concepts of physical fitness-active lifestyle for wellness (14 th ed.). New York: The McGraw-Hill. Després, J. P., & Lemieux, I. (2006). Abdominal obesity and metabolic syndrome. Nature, 444(14),

8 Galassi, A., Reynolds, K., & He, J. (2006). Metabolic syndrome and risk of cardiovascular disease: A meta-analysis. The American Journal of Medicine, 119(10), Hsu, I.R., Kim, S.P., Kabir, M., Bergman, R.N. (2007). Metabolic syndrome, hyperinsulinemia, and cancer. The American journal of clinical nutrition, 86, S Kriska, A. M., Blair, S. N., & Preeira, M. A. (1994). The potential role of physical activity in the prevention of noninsulin dependent diabetes mellitus: the epidemiological evidence in holloszy. Exercise and Sport Science Reviews, 22, Laporte, R. E., Dearwater, S., Cauley, J. A., Slemenda, C., & Cook, T. (1985). Cardiovascular fitness: Is it really necessary? The Physical and Medician, 13, Sofi, F., Capalbo, A., Cesari, F., Abbate, R. Gensini, G.F. (2008). Physical activity during leisure time and primary prevention of coronary heart disease: an updated meta-analysis of cohort studies. European journal of cardiovascular prevention and rehabilitation, 15(3), Takase, H., Dohi, Y., Toriyama, T., Okado, T., Tanaka, S., Sato, K., et al. (2008). Metabolic disorders predict development of hypertension in normotensive Japanese subjects. Hypertension research, 31(4), Yen, S. L., Chiu, T. Y., Lin, Y. C., Lee, Y. C., Lee, L. T., & Huang, K. C. (2008). Obesity and hepatitis B infection are associated with increased risk of metabolic syndrome in university freshmen. International Journal of Obesity, 32(3),

9 Investigation of Health-related Fitness in Central Taiwan University of Science and Technology Kuo-Sen Shih, Ting-Chun Lu, Shih-Pei Chang Central Taiwan University of Science and Technology Abstract Purpose: The aim of this work is determining physical fitness percentile of the Central Taiwan University of Science and Technology. Methods: For the analyze were used data of 2094 (848 males and 1246 females) students. The physical fitness tests items included body composition; flexibility; muscular strength and muscular endurance; explosion strength and cardiovascular endurance. Individual results were confronted with the respective percentile norms. To assess the physical fitness of students in the Central Taiwan University of Science and Technology by comparing fitness norms established by the Ministry of Education in 2007 years. All data were processed by SPSS for windows 10.0 system. Results: 1. When compared to the norm, the percentiles of the body composition were 45-55% and 40-47% of male and female students, respectively. 2. The percentiles of the flexibility were 27% and 30-45% of male and female students, respectively. 3. The percentiles of the muscular strength and muscular endurance were 40-70% and 50-55% of male and female students, respectively. 4. The percentiles of the explosion strength were 18-30% and 30-35% of male and female students, respectively. 5. The percentiles of the cardiovascular endurance were under 10% of male students, the female students were under 6%, respectively. Conclusion: The flexibility of students should be improved. The percentile in the explosion strength and cardiovascular endurance areas were significantly lower than the norm. From the test results, the physical education teacher can determine which fitness areas need to be improved for students. Specific training programs can then be designed based on students fitness testing results. Key word: Central Taiwan University of Science and Technology, physical fitness norm, percentile, physical fitness medal. 83

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