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Asian J Kinesiol > Volume 21(3); 2019 > Article
Moon, Cho, Lim, and Lim: Analysis of Landing Error Scoring System for Evaluating the Anterior Cruciate Ligament Risk Factors of Muscle Mass in Female

Abstract

OBJECTIVES

The purpose of this study is to analyze the landing error scoring system for the evaluation of the risk factors of anterior cruciate ligament of female according to muscle mass and to identify the risk factors of anterior cruciate ligament according to percent muscle

METHODS

In order to evaluate the risk factors of anterior cruciate ligament for 20 women in their 20s low muscle group and high muscle group, they were analyzed to landing error scoring system jump from a 30cm-high box to a 50% distance of height, from a 45cm-high box to a distance of 50% and 75% distance of height.

RESULTS

Body composition showed that percent fat of the low muscle group was 32.4ยฑ2.7%, and percent muscle was 63.3ยฑ2.7%. Percent fat of the high muscle group was 26.8ยฑ3.0%, and percent muscle was 68.5ยฑ2.9% and there was a significantly difference between the two groups (p<.001). The landing error scoring system is 50 percent to 6.6 points for the low muscle group, 4.3 points for the high muscle group at the height of 30cm (p<.01), 7.1 points for the low muscle group at the height of 45cm, 5.5 points for the high muscle group (p<.05), and 75 percent to 8.3 points for the low muscle group and 6.8 points for the high muscle group at the height of 45cm (p<.05). There were statistically significant differences between the two groups.

CONCLUSIONS

Muscle mass and percent muscle are closely related to anterior cruciate ligament damage. That is to say, the risk of damage to the anterior cruciate belt due to landing tax errors was low muscle group higher than that of high muscle group. Therefore, it is suggested that exercise items that improve muscle mass will be necessary to create a forward anterior cruciate ligament damage prevention program.

์„œ๋ก 

๋ฌด๋ฆŽ๊ด€์ ˆ ์†์ƒ ๋ฐœ์ƒ ๋น„์œจ์ด ๊ฐ€์žฅ ๋†’์€ ๋ถ€์œ„๋Š” ์ „๋ฐฉ์‹ญ์ž์ธ๋Œ€์ด๋‹ค[1, 2]. ์ „๋ฐฉ์‹ญ์ž์ธ๋Œ€ ์†์ƒ์˜ 70% ์ด์ƒ์ด ๋ฐฉํ–ฅ์ „ํ™˜์ด๋‚˜ ์ ํ”„ ํ›„ ์ฐฉ์ง€ํ•  ๋•Œ ๋ฐœ์ƒ๋˜๋Š” ๋น„์ ‘์ด‰์„ฑ ๋ถ€์ƒ์ธ ๊ฒƒ์„ ๋ณด๋ฉด ์ ํ”„ ํ›„ ์ฐฉ์ง€ ๊ณผ์ •์—์„œ ์ฒด์ค‘์ด ๋ถ€ํ•˜๋กœ ์ž‘์šฉํ•˜๋Š” ์ „๋ฐฉ์‹ญ์ž์ธ๋Œ€ ์œ„ํ—˜์š”์ธ์˜ ํ‰๊ฐ€ ์—ฐ๊ตฌ๋Š” ๋งค์šฐ ์ค‘์š”ํ•˜๋‹ค[3-5].
์ „๋ฐฉ์‹ญ์ž์ธ๋Œ€ ์†์ƒ์€ ๋‚จ์„ฑ๋ณด๋‹ค ์—ฌ์„ฑ์ด ๋ฐœ์ƒ ๋นˆ๋„๊ฐ€ ๋†’์€๋ฐ[6], ํŠนํžˆ ์ „๋ฐฉ์‹ญ์ž์ธ๋Œ€ ํŒŒ์—ด์€ ๋‚จ์„ฑ์— ๋น„ํ•ด ์—ฌ์„ฑ์ด 2-10๋ฐฐ ๋†’๊ฒŒ ๋ฐœ์ƒํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋ณด๊ณ ๋˜๊ณ  ์žˆ๋‹ค[7-9]. ์ „๋ฐฉ์‹ญ์ž์ธ๋Œ€ ์†์ƒ์ด ๋‚จ์„ฑ๋ณด๋‹ค ์—ฌ์„ฑ์—์„œ ๋ฐœ์ƒ ๋นˆ๋„๊ฐ€ ๋†’์€ ์ฃผ๋œ ์›์ธ ์ค‘์˜ ํ•˜๋‚˜๋Š” ์„ฑ๋ณ„์— ๋”ฐ๋ฅธ ๊ทผ์œก๋Ÿ‰์˜ ์ฐจ์ด์ด๋‹ค[10-12]. ์„ฑ์žฅํ•˜๋Š” ๋™์•ˆ ์—ฌ์„ฑ์€ ๋‚จ์„ฑ์— ๋น„ํ•ด ๋Œ€ํ‡ด ๊ทผ๋ ฅ์ด ๋œ ๋ฐœ๋‹ฌํ•˜๊ณ , ๋„™๋‹ค๋ฆฌ๋„ค๊ฐˆ๋ž˜๊ทผ(quadriceps)์— ๋น„ํ•ด ๋’ค๋„™๋‹ค๋ฆฌ๊ทผ(hamstrings)์˜ ๊ทผ๋ ฅ์ด ๋œ ๋ฐœ๋‹ฌํ•ด์„œ ์ „๋ฐฉ์‹ญ์ž์ธ๋Œ€ ๋ถ€์ƒ ์œ„ํ—˜์ด ๋” ์ฆ๊ฐ€ํ•˜๊ฒŒ ๋œ๋‹ค[13]. ๊ทธ๋Ÿฌ๋‚˜ ๊ฐ™์€ ์—ฌ์„ฑ ์ค‘์—์„œ๋„ ์ฒด๋‚ด ๋งŽ์€ ๊ทผ์œก๋Ÿ‰์€ ๊ทผ๋ ฅ๊ณผ ๋น„๋ก€ํ•˜๋ฉฐ, ํ•˜์ง€ ๊ทผ์œก์€ ๋ฌด๋ฆŽ์„ ์•ˆ์ •ํ™”์‹œํ‚ค๋Š”๋ฐ ๋งŽ์€ ์˜ํ–ฅ์„ ๋ฏธ์นœ๋‹ค๊ณ  ํ•˜์˜€๋‹ค[14]. ์—ฌ์„ฑ์ด ์ „๋ฐฉ์‹ญ์ž์ธ๋Œ€ ์†์ƒ์— ๋…ธ์ถœ๋˜๊ธฐ ์‰ฌ์šด ์—ฐ๋ น์€ ํ•™๋ น๊ธฐ์ธ 8์„ธ์—์„œ 24์„ธ๋กœ ์Šคํฌ์ธ  ์ฐธ์—ฌ๊ฐ€ ํ™œ๋ฐœํ•œ ์‹œ๊ธฐ์ด๋ฉฐ ๋ถ€์ƒ์ด ๊ฐ€์žฅ ๋งŽ์€ ์‹œ๊ธฐ์ด๋‹ค[15, 16]. ๋”ฐ๋ผ์„œ ์ด ์‹œ๊ธฐ์— ์—ฌ์„ฑ์˜ ์ „๋ฐฉ์‹ญ์ž์ธ๋Œ€ ์†์ƒ ์œ„ํ—˜์ธ์ž ํ‰๊ฐ€๋Š” ํ•„์ˆ˜์ ์ด๋‹ค.
์ „๋ฐฉ์‹ญ์ž์ธ๋Œ€ ์†์ƒ ์œ„ํ—˜ ์ธ์ž๋ฅผ ํ‰๊ฐ€ํ•˜๋Š” ๊ฒ€์‚ฌ๋ฐฉ๋ฒ•์œผ๋กœ ๊ฐ€์žฅ ๋Œ€ํ‘œ์ ์ธ ๊ฒ€์‚ฌ๋ฐฉ๋ฒ•์€ 3์ฐจ์› ๋™์ž‘๋ถ„์„์‹œ์Šคํ…œ ๊ฒ€์‚ฌ์ด๋‹ค[17]. ๊ทธ๋Ÿฌ๋‚˜ ๋™์ž‘๋ถ„์„์‹œ์Šคํ…œ์€ ๊ณ ๊ฐ€์˜ ์žฅ๋น„๋กœ ๋งŽ์€ ์‹œ๊ฐ„์ด ์š”๊ตฌ๋˜๊ณ  ๋ถ„์„ ์ ˆ์ฐจ๊ฐ€ ๋ณต์žกํ•˜์—ฌ ์Šคํฌ์ธ  ํ˜„์žฅ์ด๋‚˜ ์ผ๋ฐ˜ ๋Œ€์ค‘์—๊ฒŒ ๋ฐ”๋กœ ์ ์šฉ์‹œํ‚ค๊ธฐ์—๋Š” ํฐ ํ•œ๊ณ„๊ฐ€ ์žˆ๋‹ค. ๊ทธ ๋Œ€์•ˆ์œผ๋กœ ๊ฐ€์žฅ ๋งŽ์ด ์ด์šฉ๋˜๋Š” ๋ฐฉ๋ฒ•์€ ์ฐฉ์ง€์˜ค๋ฅ˜์ ์ˆ˜์‹œ์Šคํ…œ(landing Error Scoring System; LESS)์ด๋‹ค[15, 18]. Padua et al.[18], ์€ ์ฐฉ์ง€์˜ค๋ฅ˜์ ์ˆ˜์‹œ์Šคํ…œ(LESS)์€ ์ „๋ฐฉ์‹ญ์ž์ธ๋Œ€ ์†์ƒ ํ‰๊ฐ€๋„๊ตฌ๋กœ ๋น„ ์ ‘์ด‰์„ฑ ์ „๋ฐฉ์‹ญ์ž์ธ๋Œ€ ์†์ƒ ์œ„ํ—˜์— ๋…ธ์ถœ๋œ ๋Œ€์ƒ์ž๋ฅผ ์‹๋ณ„ํ•˜๊ธฐ ์œ„ํ•ด ๊ฐœ๋ฐœ๋˜์—ˆ์œผ๋ฉฐ, ํƒ€๋‹น๋„์™€ ์‹ ๋ขฐ๋„๊ฐ€ ๋†’์€ ์ž„์ƒ ํ‰๊ฐ€๋„๊ตฌ๋ผ๊ณ  ๋ณด๊ณ ํ•˜์˜€๋‹ค. ์ฐฉ์ง€์˜ค๋ฅ˜์ ์ˆ˜์‹œ์Šคํ…œ์€ ์ข์€ ์žฅ์†Œ์—์„œ ๋‹จ์‹œ๊ฐ„์— ๋งŽ์€ ์‚ฌ๋žŒ๋“ค์—๊ฒŒ ์ ์šฉ์‹œํ‚ฌ ์ˆ˜ ์žˆ๊ณ  ์Šคํฌ์ธ  ํ˜„์žฅ์ด๋‚˜ ํ•™๊ต์ฒด์œก์‹œ์„ค์—์„œ ๋‹ค์ˆ˜์˜ ๋ชจ์ง‘๋‹จ์—๊ฒŒ ์ ์šฉํ•˜๊ธฐ ์‰ฝ๋‹ค[9, 19, 20]. ์ฐฉ์ง€์˜ค๋ฅ˜์ ์ˆ˜์‹œ์Šคํ…œ(LESS)์€ ๋ฌด๋ฆŽ ์†์ƒ์˜ ์œ„ํ—˜์„ ์ค„์ด๊ณ  ๋ฌด๋ฆŽ ์†์ƒ์„ ์˜ˆ๋ฐฉํ•˜๋Š”๋ฐ ์ค‘์š”ํ•œ ์ง€ํ‘œ๋กœ ์ด์šฉ๋  ์ˆ˜ ์žˆ๋‹ค. ์—ฌ์„ฑ ๊ฐ„์˜ ์ „๋ฐฉ์‹ญ์ž์ธ๋Œ€ ์†์ƒ ์œ„ํ—˜์— ๋Œ€ํ•œ ์ฐจ์ด ๋น„๊ต์—ฐ๊ตฌ๋Š” ์—ฐ๋ น์— ๋”ฐ๋ฅธ ์—ฐ๊ตฌ๊ฐ€ ๋ช‡๋ช‡ ๋ณด๊ณ ๋˜์—ˆ์œผ๋ฉฐ, ๋‹ค๋ฅธ ์—ฌ๋Ÿฌ ์œ„ํ—˜ ์š”์ธ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋Š” ๋ฏธ๋น„ํ•˜๋‹ค. ์„ ํ–‰์—ฐ๊ตฌ์—์„œ๋Š” ์‚ฌ์ถ˜๊ธฐ ์ „, ์ค‘, ํ›„ ์—ฌ์„ฑ๋“ค์„ ๋Œ€์ƒ์œผ๋กœ ํ•˜์ง€์˜ ๋ถ€์ƒ์œ„ํ—˜์— ๋Œ€ํ•œ ์—ฐ๊ตฌ[19-21]์™€ ์—ฌ์„ฑ ๋Œ€ํ•™์ƒ์˜ ์ „๋ฐฉ์‹ญ์ž์ธ๋Œ€ ๋ถ€์ƒ ์œ„ํ—˜์š”์ธ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ[8, 19]๋“ฑ์ด ์žˆ์—ˆ์œผ๋ฉฐ, ์–‘ ๋ฐœ ์ฐฉ์ง€ ์‹œ[19-21]์™€ ํ•œ ๋ฐœ ์ฐฉ์ง€ ์‹œ ์ „๋ฐฉ์‹ญ์ž์ธ๋Œ€ ์†์ƒ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ ๋“ฑ์ด ๋ณด๊ณ ๋˜์—ˆ๋‹ค[5, 19-25]. ๊ทธ๋Ÿฌ๋‚˜ ์—ฌ์„ฑ์˜ ๊ทผ์œก๋Ÿ‰(muscle mass)๊ณผ ์ฒด์ค‘ ๋Œ€๋น„ ๊ท ์œก๋Ÿ‰ ๋น„์œจ์„ ๋œปํ•˜๋Š” ๊ทผ์œก๋ฅ (percent muscle)์— ๋”ฐ๋ฅธ ๋ฌด๋ฆŽ ์†์ƒ ์œ„ํ—˜์— ๋Œ€ํ•œ ๋น„๊ต ์—ฐ๊ตฌ๋Š” ๋ฏธ๋น„ํ•œ ์‹ค์ •์ด๋‹ค. ์‹œ๋Œ€์˜ ๋ณ€ํ™”๋กœ ์—ฌ์„ฑ์˜ ์Šคํฌ์ธ  ํ™œ๋™์ด ์ฆ๊ฐ€๋˜๋ฉด์„œ[5, 6, 11, 12, 14, 26, 27], ํ•™๊ต ์ฒด์œก์‹œ์„ค์ด๋‚˜[6-8, 25] ์Šคํฌ์ธ  ํ˜„์žฅ์—์„œ [8, 9, 11, 12] Padua et al.[18], ์˜ ์ฐฉ์ง€์˜ค๋ฅ˜์ ์ˆ˜์‹œ์Šคํ…œ ํ‰๊ฐ€ ๋ฐฉ๋ฒ• ๋ณด๋‹ค ๋” ํฐ ์œ„ํ—˜์— ๋นˆ๋ฒˆํžˆ ๋…ธ์ถœ๋  ์ˆ˜ ์žˆ๋‹ค. ์˜ˆ๋“ค ๋“ค์–ด, ํ•™๊ต ์ฒด์œก์‹œ์„ค์—์„œ๋Š” ๋†’์€ ์ฒ ๋ด‰์ด๋‚˜ ๊ตฌ๋ฆ„์‚ฌ๋‹ค๋ฆฌ, ๋ฏธ๋„๋Ÿผํ‹€, ๊ทธ๋„ค ๋“ฑ์—์„œ ์ ํ”„ํ•˜๋Š” ๊ฒฝ์šฐ ๋†๊ตฌ, ๋ฐฐ๊ตฌ, ํ•ธ๋“œ๋ณผ, ์ถ•๊ตฌ, ๋„์›€๋‹ซ๊ธฐ ๋ฉ€๋ฆฌ๋›ฐ๊ธฐ๋‚˜ ์ œ์ž๋ฆฌ ๋ฉ€๋ฆฌ๋›ฐ๊ธฐ, ๋œ€ํ‹€์šด๋™ ์ค‘ ๋‘ ๋ฐœ๋กœ ์ฐฉ์ง€ํ•˜๋Š” ๊ฒฝ์šฐ[5, 6, 9, 23-25], ๋†€์ด์‹œ์„ค์ด๋‚˜ ์‚ฌ์„ค ์ฒด์œก์‹œ์„ค์—์„œ๋Š” ํŠธ๋žจํด๋ฆฐ์—์„œ ์ ํ”„, ๋ฐœ๋ ˆ, ๋งˆ์ƒฌ์•„์ธ  ํŠธ๋ฆญํ‚น(martial arts tricking), ์—์–ด๋กœ๋น… ๋Œ„์Šค์—์„œ ๋‘๋ฐœ ์ ํ”„ ํ›„ ์ฐฉ์ง€ ๋™์ž‘, ๋น„๋ณด์ž‰, ๋ฐฉ์†ก๋Œ„์Šค, ์•”๋ฒฝ ํด๋ผ์ด๋ฐ, ํฌ๋กœ์Šคํ• ์šด๋™ ์ค‘ ๋ฐ•์Šค์ ํ•‘ ๋“ฑ[24, 28] ๋‹ค์–‘ํ•œ ์šด๋™ ํ˜„์žฅ์—์„œ 30cm ์ด์ƒ์˜ ๋†’์ด์™€ ์ž์‹ ์˜ ์‹ ์žฅ์˜ 50%๊ฑฐ๋ฆฌ ์ด์ƒ ๋–จ์–ด์ง„ ์ง€์ ์—์„œ ์ฐฉ์ง€ํ•˜๋Š” ์œ„ํ—˜์— ๋…ธ์ถœ๋  ์ˆ˜ ์žˆ๋‹ค[29]. ๊ทธ๋Ÿฌ๋‚˜ ์—ฌ์„ฑ์˜ ์Šคํฌ์ธ ํ™œ๋™ ์ฆ๊ฐ€์— ๋”ฐ๋ฅธ ์ „๋ฐฉ์‹ญ์ž์ธ๋Œ€ ์œ„ํ—˜์š”์ธ์˜ ์ฆ๊ฐ€๋ฅผ ๋ฐ˜์˜ํ•œ ์ฐฉ์ง€์˜ค๋ฅ˜์ ์ˆ˜์‹œ์Šคํ…œ(LESS) ํ‰๊ฐ€๋ฅผ ๋‹ค์–‘ํ•œ ๋ฐฉ๋ฒ•์œผ๋กœ ์ ‘๊ทผํ•˜์—ฌ ์ ์šฉ(Modify)ํ•œ ์„ ํ–‰์—ฐ๊ตฌ๋Š” ๋ฏธ๋น„ํ•œ ์‹ค์ •์ด๋‹ค. ๋”ฐ๋ผ์„œ Padua et al.[15, 18]์˜ ์ฐฉ์ง€์˜ค๋ฅ˜์ ์ˆ˜์‹œ์Šคํ…œ ํ‰๊ฐ€๋ฅผ ๊ทผ๊ฑฐ๋กœ ์—ฌ์„ฑ์˜ ์Šคํฌ์ธ ํ™œ๋™์˜ ์ฆ๊ฐ€์— ๋”ฐ๋ฅธ ์ „๋ฐฉ์‹ญ์ž์ธ๋Œ€ ์œ„ํ—˜ ์š”์ธ ํ‰๊ฐ€์˜ ๋‹ค์–‘ํ•œ ์—ฐ๊ตฌ๋ฅผ ์œ„ํ•ด 45cm ๋†’์ด์—์„œ ์ž์‹ ์˜ ์‹ ์žฅ์˜ 50% ๊ฑฐ๋ฆฌ๋กœ ์ฐฉ์ง€ ํ›„ ์ˆ˜์ง์ ํ”„, 45cm ๋†’์ด์—์„œ ์ž์‹ ์˜ ์‹ ์žฅ์˜ 75% ๊ฑฐ๋ฆฌ๋กœ ์ฐฉ์ง€ ํ›„ ์ˆ˜์ง์ ํ”„ ๋ฐฉ๋ฒ•์„ Padua et al.[18]์˜ ์ฐฉ์ง€์˜ค๋ฅ˜์ ์ˆ˜์‹œ์Šคํ…œ(LESS) ํ‰๊ฐ€ ๋ฐฉ๋ฒ•๊ณผ ๋น„๊ต ์—ฐ๊ตฌํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค.
์„ฑ์ธ ์—ฌ์„ฑ์˜ ์ฒด์งˆ๋Ÿ‰์ง€์ˆ˜(Body Mass Index; BMI)์™€ ํ—ˆ๋ฆฌ๋‘˜๋ ˆ(Waist Circumference; WC)๊ฐ€ ๋น„๋งŒ ์ง„๋‹จ ๊ธฐ์ค€ ๋ฏธ๋งŒ์ด๋ฉด ์ฒด์ง€๋ฐฉ๋Ÿ‰(fat mass; FM)๊ณผ ์ฒด์ง€๋ฐฉ๋ฅ (percent fat; %fat), ๊ทผ์œก๋Ÿ‰(muscle mass; MM)๊ณผ ๊ทผ์œก๋ฅ (percent muscle; %muscle)์— ์ƒ๊ด€์—†์ด ์ •์ƒ์œผ๋กœ ์ง„๋‹จํ•œ๋‹ค[28]. ๊ทธ๋Ÿฌ๋‚˜ ์ •์ƒ ์ฒด์งˆ๋Ÿ‰์ง€์ˆ˜์™€ ํ—ˆ๋ฆฌ๋‘˜๋ ˆ๋ฅผ ๊ฐ€์ง€๊ณ  ์žˆ๋Š” ์„ฑ์ธ ์—ฌ์„ฑ ์ค‘์—์„œ๋„ ๊ทผ์œก๋Ÿ‰์ด ์ ๊ณ  ์ฒด์ง€๋ฐฉ๋Ÿ‰์ด ๋งŽ์€, ์ฆ‰ ์ฒด์ง€๋ฐฉ๋ฅ ์ด ๋†’๊ณ  ์ฒด์ค‘ ๋Œ€๋น„ ๊ทผ์œก๋ฅ (%muscle)์ด ๋‚ฎ์€ ๋‚ ์”ฌํ•œ ๋น„๋งŒ์ธ ๊ฒฝ์šฐ๊ฐ€ ๋งŽ๋‹ค. ์ด๋Ÿฌํ•œ ๋‹จ์ ์„ ๋ณด์™„ํ•˜๊ธฐ ์œ„ํ•ด ์ด๋ฏธ ์ž„์ƒ๊ณผ ์ „๊ตญ ๋ณด๊ฑด์†Œ, ์Šคํฌ์ธ  ํ˜„์žฅ์—์„œ๋Š” ์ฒด์ง€๋ฐฉ๋Ÿ‰๊ณผ ์ฒด์ง€๋ฐฉ๋ฅ , ๊ทผ์œก๋Ÿ‰๊ณผ ๊ทผ์œก๋ฅ ์„ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•ด, ์ฆ‰ ์ง„์งœ ๊ฑด๊ฐ•ํ•œ์ง€๋ฅผ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•ด ์ฒด์„ฑ๋ถ„๊ฒ€์‚ฌ๊ฐ€ ๋ณดํŽธ์ ์œผ๋กœ ๊ด‘๋ฒ”์œ„ํ•˜๊ฒŒ ์ด์šฉ๋˜๊ณ  ์žˆ๋‹ค[29]. ์ฒด์„ฑ๋ถ„๊ฒ€์‚ฌ๋Š” ์ƒ์ฒด์ „๊ธฐ์ €ํ•ญ๋ฒ•(Bioelectric Impedance Analysis; BIA)์œผ๋กœ ์ฒด์ˆ˜๋ถ„์„ ์ด์šฉํ•˜์—ฌ ์ฒด๋‚ด์˜ ๊ทผ์œก๋Ÿ‰๊ณผ ์ง€๋ฐฉ๋Ÿ‰์˜ ๋น„์œจ๊ณผ ๋ถ„ํฌ๋ฅผ ํ™•์ธํ•  ์ˆ˜ ์žˆ๋Š” ๊ฐ„์ ‘์ธก์ •๋ฒ•์ด๋‹ค. ์ฒด์„ฑ๋ถ„๊ฒ€์‚ฌ๋Š” ๋น„๋งŒ๋„๋ฅผ ํ‰๊ฐ€ํ•˜๋Š” ๊ฐ„์ ‘์ธก์ •๋ฒ• ์ค‘์—์„œ ์‹ ๋ขฐ๋„๊ฐ€ ๊ฐ€์žฅ ๋†’์€ ํ”ผ๋ถ€๋‘๊ฒน๋ฒ•(skinfold)๊ณผ ๋น„๊ตํ•˜์—ฌ[30] ์‹ ๋ขฐ๋„๊ฐ€ ๋†’์€(r=.70~.90) ๊ฒ€์‚ฌ๋ฐฉ๋ฒ•์ด๋‹ค. ์ฒด์„ฑ๋ถ„๊ฒ€์‚ฌ์—์„œ ์ฒด์ง€๋ฐฉ๋ฅ ์ด ๋‚จ์„ฑ์€ 25% ์ด์ƒ, ์—ฌ์„ฑ์€ 30% ์ด์ƒ์„ ๋น„๋งŒ์œผ๋กœ ํ‰๊ฐ€ํ•œ๋‹ค[29].
๋น„๋งŒ ์—ฌ์„ฑ๊ณผ ์ •์ƒ ์—ฌ์„ฑ์˜ ์ „๋ฐฉ์‹ญ์ž์ธ๋Œ€ ์†์ƒ ์œ„ํ—˜์€ ์€ ๋‹น์—ฐ ๋น„๋งŒ ์—ฌ์„ฑ์ด ๋†’์„ ๊ฒƒ์œผ๋กœ ์˜ˆ์ธก๋  ์ˆ˜ ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ฒด์งˆ๋Ÿ‰์ง€์ˆ˜(BMI)์™€ ํ—ˆ๋ฆฌ๋‘˜๋ ˆ(WC)๊ฐ€ ์ •์ƒ์ธ ์—ฌ์„ฑ ์ค‘์—์„œ ์ฒด๋‚ด ๊ทผ์œก๋Ÿ‰์˜ ๋งŽ๊ณ  ์ ์Œ์„ ๋‚˜ํƒ€๋‚ด๋Š” ๊ทผ์œก๋ฅ ์— ๋”ฐ๋ฅธ ์ „๋ฐฉ์‹ญ์ž์ธ๋Œ€ ์†์ƒ ์œ„ํ—˜๋„์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋Š” ๋”์šฑ ๋ฏธ๋น„ํ•œ ์‹ค์ •์ด๋‹ค.
๋”ฐ๋ผ์„œ ์ด ์—ฐ๊ตฌ์—์„œ๋Š” 20๋Œ€ ๊ฑด๊ฐ•ํ•œ ์„ฑ์ธ ์—ฌ์„ฑ๋“ค์„ ๋Œ€์ƒ์œผ๋กœ ๊ทผ์œก๋Ÿ‰๊ณผ ๊ทผ์œก๋ฅ ์— ๋ฌด๋ฆŽ ๊ด€์ ˆ์˜ ์ „๋ฐฉ์‹ญ์ž์ธ๋Œ€ ์†์ƒ ์œ„ํ—˜ ํ‰๊ฐ€์ง€ํ‘œ์ธ ๋“œ๋กญ ์ˆ˜์ง์ ํ”„ ์‹œ ์ฐฉ์ง€์˜ค๋ฅ˜์ ์ˆ˜์‹œ์Šคํ…œ ์ฐจ์ด๋ฅผ ๊ทœ๋ช…ํ•˜๊ณ ์ž ํ•œ๋‹ค.

์—ฐ๊ตฌ๋ฐฉ๋ฒ•

1. ์—ฐ๊ตฌ๋Œ€์ƒ

๋ณธ ์—ฐ๊ตฌ๋Š” ์„œ์šธ์‹œ์— ๊ฑฐ์ฃผํ•˜๋Š” ์ตœ๊ทผ 3๊ฐœ์›” ์ด์ƒ ๊ทœ์น™์ ์ธ ์šด๋™์„ ํ•˜๊ณ  ์žˆ์ง€ ์•Š์€ ๊ฑด๊ฐ•ํ•œ 20๋Œ€์˜ ์„ฑ์ธ ์—ฌ์„ฑ 20๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ ๋Œ€์ƒ์ž์˜ ํ‘œ๋ณธํฌ๊ธฐ๋Š” G*power 3. 1. 2 ํ”„๋กœ๊ทธ๋žจ์„ ์ด์šฉํ•˜์—ฌ ์ค‘๊ฐ„์ˆ˜์ค€์˜ ํšจ๊ณผํฌ๊ธฐ .80, ์œ ์˜์ˆ˜์ค€ .05 ๊ทธ๋ฆฌ๊ณ  ๊ฒ€์ •๋ ฅ .95 ๊ฒฐ๊ณผ ๋ณธ ์—ฐ๊ตฌ์— ํ•„์š”ํ•œ ์ด ๋Œ€์ƒ์ž ์ˆ˜๋Š” 20๋ช…์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์—ฐ๊ตฌ ๋Œ€์ƒ ์„ ์ •์€ ์‚ฌ์ „ ์„ค๋ฌธ์กฐ์‚ฌ๋ฅผ ํ†ตํ•ด ๋ณ‘๋ ฅ๊ณผ ์ตœ๊ทผ 3๊ฐœ์›” ๋™์•ˆ์˜ ๊ทœ์น™์ ์ธ ์šด๋™์ด๋‚˜ ์‹ ์ฒดํ™œ๋™ ์—ฌ๋ถ€, ์ •ํ˜•์™ธ๊ณผ์  ์งˆํ™˜ ๋“ฑ์„ ๊ณ ๋ คํ•œ ์„ ์ •๊ธฐ์ค€ ๋ฐ ์ œ์™ธ๊ธฐ์ค€์— ์ ํ•ฉํ•œ ๋Œ€์ƒ์ž๋ฅผ ์ •ํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ๋Œ€์ƒ ์„ ์ •๊ธฐ์ค€์€ 1) ์ฒด์งˆ๋Ÿ‰์ง€์ˆ˜ 25kg/m2 ๋ฏธ๋งŒ์ธ ์ž, 2) ํ—ˆ๋ฆฌ๋‘˜๋ ˆ 85cm ๋ฏธ๋งŒ์ธ ์ž์ด๋‹ค[28]. ์—ฐ๊ตฌ๋Œ€์ƒ ์ œ์™ธ๊ธฐ์ค€์€ 1) ์ฒด์งˆ๋Ÿ‰์ง€์ˆ˜ 25kg/m2 ์ด์ƒ์ธ ์ž, 2) ํ—ˆ๋ฆฌ๋‘˜๋ ˆ 85cm ์ด์ƒ์ธ ์ž, 3) ์ •ํ˜•์™ธ๊ณผ์  ์งˆํ™˜์„ ์ง„๋‹จ๋ฐ›์•˜๊ฑฐ๋‚˜ ์ˆ˜์ˆ ํ•œ ๊ฒฝํ—˜์ด ์žˆ๋Š” ์ž, 4) ์šด๋™์„ ํ•˜๋ฉด ์‹ฌํ•ด์ง€๋Š” ์ค‘์ฆ ์ •ํ˜•์™ธ๊ณผ์  ์งˆํ™˜ ๋ฐ ์ค‘์ฆ ๋ฅ˜๋งˆํ‹ฐ์Šค์„ฑ ์งˆํ™˜์œผ๋กœ ์ ํ”„์šด๋™์ด ๋ถˆ๊ฐ€๋Šฅํ•œ ์ž, 5) ์ตœ๊ทผ 3๊ฐœ์›” ๋™์•ˆ ์–ด์ง€๋Ÿผ์ฆ์œผ๋กœ ์“ฐ๋Ÿฌ์ง€๊ฑฐ๋‚˜ ์‹ค์‹ ํ•œ ์ ์ด ์žˆ๋Š” ์ž, 6) ์ตœ๊ทผ 3๊ฐœ์›” ๋™์•ˆ ์ฃผ 3ํšŒ ์ด์ƒ ๊ทœ์น™์ ์œผ๋กœ ์šด๋™ ๋ฐ ์‹ ์ฒดํ™œ๋™์„ ํ•œ ์ž, 7) ์—ฐ๊ตฌ๊ธฐ๊ฐ„ ๋™์•ˆ ์ž„์‹ ์„ ํ•˜๊ฒŒ ๋˜๊ฑฐ๋‚˜, ํ˜„์žฌ ์ž„์‹ ์ค‘์ธ ์ž, 8) ํ˜„์žฌ ๋‹ค๋ฅธ ์ž„์ƒ์‹œํ—˜์— ์ฐธ์—ฌ์ค‘์ธ ์ž, 9) ์ค‘๋Œ€ํ•œ ์‹ ๊ฒฝ์ •์‹ ๊ณผ ์งˆํ™˜์œผ๋กœ ์•ฝ๋ฌผ๋ณต์šฉ ์ค‘์ด๊ฑฐ๋‚˜ ์น˜๋ฃŒ์ค‘์ธ ์ž, 10) ๊ธฐํƒ€ ์—ฐ๊ตฌ์— ์ฐธ์—ฌ๊ฐ€ ๋ถ€์ ํ•ฉํ•˜๋‹ค๊ณ  ํŒ๋‹จ๋˜๋Š” ์ž์ด๋‹ค.

2. ์—ฐ๊ตฌ์ ˆ์ฐจ

๋ชจ๋“  ๊ฒ€์‚ฌ๋Š” ์‚ฌ์ „์— ์—ฐ๊ตฌ์˜ ๋ชฉ์ ๊ณผ ๋‚ด์šฉ, ์‹คํ—˜ ๋ฐฉ๋ฒ•์— ๋Œ€ํ•ด ์ถฉ๋ถ„ํ•œ ์„ค๋ช…๊ณผ ํ”ผํ—˜์ž์˜ ์ž๋ฐœ์  ์‚ฌ์ „ ๋™์˜ ํ•˜์— ๊ฒ€์‚ฌ๋ฅผ ์‹œํ–‰ํ•˜์˜€๊ณ , ์—ฐ๊ตฌ์œค๋ฆฌ์œ„์›ํšŒ์˜ ํ—ˆ๊ฐ€๋ฅผ ์–ป์—ˆ๋‹ค(1041078-201802-HRBR-039-01).

1) ์ฒด์งˆ๋Ÿ‰์ง€์ˆ˜

์‹ ์žฅ, ์ฒด์ค‘์€ ์‹ ์žฅ์ฒด์ค‘์ธก์ •๊ธฐ(Fanics, KOREA)์— ์˜ฌ๋ผ์„œ์„œ ํ—ˆ๋ฆฌ๋ฅผ ํŽด๊ณ  ์‹œ์„ ์€ ์ „๋ฐฉ์„ ํ–ฅํ•˜๊ฒŒ ํ•˜๊ณ  ๋ˆˆ๊ณผ ๊ท€์˜ ๋†’์ด๊ฐ€ ์ˆ˜ํ‰์ด ๋˜๊ฒŒ ํ•˜์—ฌ ์ธก์ •ํ•˜์˜€๋‹ค. ์ธก์ •๋œ ์‹ ์žฅ, ์ฒด์ค‘์œผ๋กœ ๊ณ„์‚ฐํ•˜์—ฌ ์ฒด์งˆ๋Ÿ‰์ง€์ˆ˜ ๊ฐ’์„ ์–ป์—ˆ๋‹ค.

2) ์ฒด์„ฑ๋ถ„

์ฒด์„ฑ๋ถ„๊ฒ€์‚ฌ๋Š” ๊ฒ€์‚ฌ ์ƒ์˜ ์‹ ๋ขฐ๋„๋ฅผ ๋†’์ด๊ธฐ ์œ„ํ•ด ๊ฒ€์‚ฌ 48์‹œ๊ฐ„ ์ „๋ถ€ํ„ฐ ๊ธˆ์ฃผํ•˜๊ณ  ๊ฒ€์‚ฌ ์ „๋‚  ์ €๋…์‹์‚ฌ ํ›„๋ถ€ํ„ฐ 8์‹œ๊ฐ„ ์ด์ƒ ๊ธˆ์‹ํ•˜์—ฌ ๊ฒ€์‚ฌ ๋‹น์ผ ์˜ค์ „์— ๊ณต๋ณต์œผ๋กœ ์‹ค์‹œํ•˜์˜€๋Š”๋ฐ ๊ฒ€์‚ฌ 30๋ถ„ ์ „์— ๋ฐฐ๋‡จํ•˜๋„๋ก ํ•˜์˜€๋‹ค. ๋˜ํ•œ ๊ณผ๋Ÿ‰์˜ ์นดํŽ˜์ธ์ด๋‚˜ ์Œ๋ฃŒ๋ฅผ ์„ญ์ทจํ•˜์ง€ ์•Š๋„๋ก ํ•˜์˜€์œผ๋ฉฐ, ๊ฒ€์‚ฌ ์ „ 12์‹œ๊ฐ„ ๋™์•ˆ ์žฅ์‹œ๊ฐ„์˜ ์ง€๋‚˜์นœ ์šด๋™์ด๋‚˜ ํƒˆ์ˆ˜ ๊ฐ€๋Šฅ์„ฑ์ด ์žˆ๋Š” ์‚ฌ์šฐ๋‚˜๋Š” ์‚ผ๊ฐ€๋„๋ก ํ•˜์˜€๋‹ค. ๋˜ํ•œ ๊ฒ€์‚ฌ ์ „ 7์ผ ๋™์•ˆ ์ด๋‡จ์ œ ๋ณต์šฉ์„ ๊ธˆํ–ˆ๋‹ค. ๊ฒ€์‚ฌ ๋ณต์žฅ์€ ์ค€๋น„๋œ ๋ฐ˜ํŒ” ์ƒํ•˜์˜ ์šด๋™๋ณต์œผ๋กœ ํ†ต์ผํ•˜์˜€๊ณ  ๋ชฉ๊ฑธ์ด, ์‹œ๊ณ„, ๋ฐ˜์ง€ ๋“ฑ์˜ ์†Œ์ง€ํ’ˆ์„ ์ œ๊ฑฐํ•œ ํ›„ ๊ฒ€์‚ฌ๋ฅผ ์‹ค์‹œํ•˜์˜€๋‹ค[28].
์ฒด์„ฑ๋ถ„๊ฒ€์‚ฌ๋Š” ์ƒ์ฒด์ „๊ธฐ์ €ํ•ญ ๋ถ„์„ ์žฅ๋น„(Inbody 16.0, Biospace, KOREA)๋ฅผ ์ด์šฉํ•˜์—ฌ ์ฒด์ค‘(weight), ์ฒด์ง€๋ฐฉ๋Ÿ‰(fat mass), ์ฒด์ง€๋ฐฉ๋ฅ (percent fat), ์ œ์ง€๋ฐฉ๋Ÿ‰(fat free mass), ๊ทผ์œก๋Ÿ‰(muscle mass)์„ ์ธก์ •ํ•˜์˜€๋‹ค. ์ธก์ •๋œ ์ฒด์ค‘๊ณผ ๊ทผ์œก๋Ÿ‰ ๊ฐ’์„ ์ด์šฉํ•ด ๊ทผ์œก๋Ÿ‰์ด ์ฒด์ค‘์˜ ๋ช‡ ํผ์„ผํŠธ๋ฅผ ์ฐจ์ง€ํ•˜๋Š”์ง€๋ฅผ ๊ณ„์‚ฐํ•˜์—ฌ ๊ทผ์œก๋ฅ (%muscle)์„ ํ™˜์‚ฐํ•˜์˜€๋‹ค. 20๋ช…์˜ ์—ฐ๊ตฌ ์ฐธ๊ฐ€์ž๋Š” ์ฒด์„ฑ๋ถ„๊ฒ€์‚ฌ ๊ฒฐ๊ณผ๋ฅผ ์ด์šฉํ•˜์—ฌ ์ฒด์ง€๋ฐฉ๋ฅ  30% ์ด์ƒ์ด๊ณ  ๊ทผ์œก๋ฅ ์ด ๋‚ฎ์€ ์ €๊ทผ์œก ์ง‘๋‹จ(Low Muscle Group; LMG)๊ณผ ์ฒด์ง€๋ฐฉ๋ฅ  30% ๋ฏธ๋งŒ์ด๊ณ  ๊ทผ์œก๋ฅ ์ด ๋†’์€ ๊ณ ๊ทผ์œก ์ง‘๋‹จ(High Muscle Group; HMG)์œผ๋กœ ๊ฐ๊ฐ 10๋ช…์”ฉ ๋ถ„๋ฅ˜ํ•˜์˜€๋‹ค.

3) ์ฐฉ์ง€์˜ค๋ฅ˜์ ์ˆ˜์‹œ์Šคํ…œ

์ฐฉ์ง€์˜ค๋ฅ˜์ ์ˆ˜์‹œ์Šคํ…œ(LESS)์€ ๋น„์ ‘์ด‰์„ฑ ์ „๋ฐฉ์‹ญ์ž์ธ๋Œ€ ์œ„ํ—˜์š”์ธ ํ‰๊ฐ€ ๋ฐฉ๋ฒ•์œผ๋กœ, ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๊ด€์ƒ๋ฉด๊ณผ ์‹œ์ƒ๋ฉด์—์„œ ๋น„๋””์˜ค ๋ถ„์„์„ ํ†ตํ•˜์—ฌ, ๋“œ๋กญ ์ˆ˜์ง์ ํ”„ ํ›„ ์ฐฉ์ง€ ์‹œ ์ง€๋ฉด๊ณผ์˜ ์ดˆ๊ธฐ ์ ‘์ด‰ํ•  ๋•Œ ๋ชธํ†ต์˜ ์œ„์น˜, ์ตœ๋Œ€ ๊ตด๊ณก, ๊ด€์ ˆ์˜ ์œ ๋™์„ฑ๊ณผ ๊ด€์ ˆ์šด๋™๋ฒ”์œ„๋ฅผ ํ‰๊ฐ€ํ•˜๋Š” Padua, et al[18]์— ์˜ํ•ด ์‹œํ–‰๋œ ๋ฐฉ๋ฒ•์„ ์‚ฌ์šฉํ•˜์˜€๋‹ค. ์ฐฉ์ง€์˜ค๋ฅ˜์ ์ˆ˜์‹œ์Šคํ…œ์€ ์‹คํ—˜์‹ค์— ์ •๋ฉด๊ณผ ์ธก๋ฉด์„ ๊ธฐ๋กํ•˜๋Š” ๋‘ ๋Œ€์˜ ์ธก์ •์šฉ ์นด๋ฉ”๋ผ(VM-HMX20C, INDONESIA)์™€ 30cm, 45cm ๋†’์ด์˜ ๋„์•ฝ๋Œ€๋กœ ์ด๋ฃจ์–ด์ ธ ์žˆ๋‹ค. ์ฐฉ์ง€ ์œ„์น˜์—์„œ 3.5m์˜ ๊ฑฐ๋ฆฌ๋ฅผ ๋‘๊ณ  ๋Œ€์ƒ์ž์˜ ์˜ค๋ฅธ์ชฝ ๋ฌด๋ฆŽ๊ด€์ ˆ ๋ฐฉํ–ฅ์˜ ์ธก๋ฉด๊ณผ ์ •๋ฉด 1.2m์˜ ๋†’์ด์— ๋น„๋””์˜ค์นด๋ฉ”๋ผ๋ฅผ ๊ฐ๊ฐ ์„ค์น˜ํ•˜์˜€๋‹ค[23]. ์ฐฉ์ง€์˜ค๋ฅ˜์ ์ˆ˜์‹œ์Šคํ…œ ๊ฒ€์‚ฌ๋Š” 30cm์™€ 45cm ๋†’์ด์˜ ๋„์•ฝ๋Œ€ ์œ„์— ์„œ์„œ ์–‘ ๋ฐœ๋กœ ์ฐฉ์ง€ ํ›„ ๋“œ๋กญ ์ˆ˜์ง์ ํ”„ ๋™์ž‘์„ ํ•˜๋Š” ๋ฐฉ๋ฒ•์œผ๋กœ 1) 30cm ๋†’์ด์˜ ๋ฐ•์Šค ์œ„์—์„œ ์ž์‹ ์˜ ์‹ ์žฅ์˜ 50% ๊ฑฐ๋ฆฌ ๋–จ์–ด์ง„ ์ง€์ ์— ์–‘ ๋ฐœ ์ฐฉ์ง€ ํ›„ ์ˆ˜์ง์œผ๋กœ ์ ํ”„ํ•˜๋Š” ๋™์ž‘, 2) 45cm ๋†’์ด์˜ ๋ฐ•์Šค ์œ„์—์„œ ์ž์‹ ์˜ ์‹ ์žฅ์˜ 50% ๊ฑฐ๋ฆฌ ๋–จ์–ด์ง„ ์ง€์ ์— ์–‘ ๋ฐœ ์ฐฉ์ง€ ํ›„ ์ˆ˜์ง์œผ๋กœ ์ ํ”„ํ•˜๋Š” ๋™์ž‘, 3) 45cm ๋†’์ด์˜ ๋ฐ•์Šค ์œ„์—์„œ ์ž์‹ ์˜ ์‹ ์žฅ์˜ 75% ๊ฑฐ๋ฆฌ ๋–จ์–ด์ง„ ์ง€์ ์— ์–‘ ๋ฐœ ์ฐฉ์ง€ ํ›„ ์ˆ˜์ง์œผ๋กœ ์ ํ”„ํ•˜๋Š” ๋™์ž‘์„ 3ํšŒ ์—ฐ์Šตํ•˜๊ณ  5๋ถ„ ๊ฐ„ ํœด์‹์„ ์ทจํ•œ ํ›„ 3ํšŒ์”ฉ ์ˆ˜ํ–‰ํ•˜๋„๋ก ํ•˜์˜€๋‹ค. ์ด๋•Œ ์ฐฉ์ง€ ํ›„ ์ฆ‰๊ฐ์ ์œผ๋กœ ๋„์•ฝํ•˜๋Š” ์ˆœ๊ฐ„์— ๋ฐœ์ƒํ•˜๋Š” ์ž์„ธ์˜ ์˜ค๋ฅ˜๋ฅผ ํ•ญ๋ชฉ๋ณ„๋กœ ์ ์ˆ˜ํ™”ํ•˜๋Š” ์ฐฉ์ง€์˜ค๋ฅ˜์ ์ˆ˜์‹œ์Šคํ…œ์„ ํ‰๊ฐ€ํ•˜์˜€๋‹ค[Figure 1]. ๋‘ ๋Œ€์˜ ๋น„๋””์˜ค์นด๋ฉ”๋ผ์— ๊ธฐ๋ก๋œ ์˜์ƒ ์ค‘ ๋ฐœ์ด ๋ฐ”๋‹ฅ์— ๋‹ฟ๊ธฐ ์‹œ์ž‘ํ•˜๋Š” ์ฐฉ์ง€ ์ดˆ๊ธฐ์™€ ๋‹ค์‹œ ๊ณต์ค‘์œผ๋กœ ๋›ฐ์–ด์˜ค๋ฅด๊ธฐ ์ „ ๋ฌด๋ฆŽ๊ด€์ ˆ์˜ ์ตœ๋Œ€ ๊ตด๊ณก ์‹œ์ ์—์„œ ์ž˜๋ชป๋œ ์ฐฉ์ง€ ๋™์ž‘์ธ ์˜ค๋ฅ˜๋ฅผ ์ฐพ์•„๋‚ด์–ด ์ ์ˆ˜๋ฅผ ๊ธฐ๋กํ•˜์˜€๋‹ค. ์ธก๋ฉด ์˜์ƒ์—์„œ๋Š” ์ด 8๊ฐ€์ง€ ํ•ญ๋ชฉ์—์„œ ์ตœ๊ณ  9์ ์˜ ์˜ค๋ฅ˜ ์ ์ˆ˜๊ฐ€ ํ™•์ธ๋˜์—ˆ์œผ๋ฉฐ, ์ •๋ฉด์˜ ์˜์ƒ์—์„œ๋Š” ์ด 8๊ฐ€์ง€ ํ•ญ๋ชฉ์—์„œ ์ตœ๊ณ  8์ ์˜ ์˜ค๋ฅ˜์ ์ˆ˜๊ฐ€ ํ™•์ธ๋˜์—ˆ๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ์ •๋ฉด๊ณผ ์ธก๋ฉด์˜ ์˜์ƒ์„ ์ข…ํ•ฉ์ ์œผ๋กœ ํŒ๋‹จํ•˜์—ฌ 0~2์ ์„ ๋ถ€๊ฐ€ํ•˜์˜€์œผ๋ฉฐ ์ตœ๊ณ  ์ ์ˆ˜๋Š” 19์ ์ด์—ˆ๋‹ค. ์ฐฉ์ง€์˜ค๋ฅ˜์ ์ˆ˜๋Š” ์šฐ์ˆ˜ํ•œ ์ฐฉ์ง€(excellent: 4์  ์ดํ•˜), ์ข‹์€ ์ฐฉ์ง€(good: 4~5์ ), ๋ณดํ†ต ์ฐฉ์ง€(moderate: 5~6์ ), ์ž˜๋ชป๋œ ์ฐฉ์ง€(poor: 6์  ์ด์ƒ)๋กœ ๋ถ„๋ฅ˜๋˜์–ด ์žˆ๋‹ค[18]. ๋น„๋””์˜ค์นด๋ฉ”๋ผ์— ๊ธฐ๋ก ๋œ ์ฐฉ์ง€์˜ค๋ฅ˜์ ์ˆ˜์‹œ์Šคํ…œ ๋ถ„์„์„ ์œ„ํ•œ ๋ฌด๋ฆŽ๊ด€์ ˆ์˜ ์ตœ๋Œ€ ๊ตด๊ณก ์‹œ์ ์ธ ๊ฐ๋„์˜ ๊ณ„์‚ฐ์€ ๋™์˜์ƒ ๋ถ„์„ ํ”„๋กœ๊ทธ๋žจ์ธ[31] ํ‚ค๋…ธ๋ฒ ์•„(Kinovea ver. 0.8.15 software (Kinovea; boston, MA, USA))๋ฅผ ์‚ฌ์šฉํ•˜์˜€๋‹ค[Figure 2].

3. ์ž๋ฃŒ์ฒ˜๋ฆฌ

์ด ์—ฐ๊ตฌ์—์„œ ์ธก์ •๋œ ๋ชจ๋“  ๊ฒฐ๊ณผ ๊ฐ’์˜ ํ†ต๊ณ„๋ถ„์„์€ IBM SPSS ver. 21.0 (IBM Corp., Armonk, NY, USA)์„ ์ด์šฉํ•˜์—ฌ ๋ชจ๋“  ๋ณ€์ธ์˜ ํ‰๊ท ๊ณผ ํ‘œ์ค€ํŽธ์ฐจ๋ฅผ ์‚ฐ์ถœํ•˜์˜€๋‹ค. ์ €๊ทผ์œก ์ง‘๋‹จ๊ณผ ๊ณ ๊ทผ์œก ์ง‘๋‹จ ๊ฐ„์˜ ์ฐจ์ด ๋ถ„์„์„ ์œ„ํ•˜์—ฌ ๋…๋ฆฝํ‘œ๋ณธ t-test๋ฅผ ์ ์šฉํ•˜์˜€๋‹ค. ๋ชจ๋“  ๊ฒฐ๊ณผ์˜ ํ†ต๊ณ„์  ์œ ์˜์ˆ˜์ค€์€ ฮฑ= .05๋กœ ์ •ํ•˜์˜€๋‹ค.

๊ฒฐ๊ณผ

1. ์ฒด์งˆ๋Ÿ‰์ง€์ˆ˜ ๋ฐ ์ฒด์„ฑ๋ถ„

์ €๊ทผ์œก ์ง‘๋‹จ(LMG)๊ณผ ๊ณ ๊ทผ์œก ์ง‘๋‹จ(HMG)์˜ ์ฒด์งˆ๋Ÿ‰ ์ง€์ˆ˜์™€ ์ฒด์„ฑ๋ถ„ ๊ฒฐ๊ณผ๋Š” Table 1 ๊ณผ ๊ฐ™๋‹ค.
๋‘ ์ง‘๋‹จ ํ”ผํ—˜์ž์˜ ํ‰๊ท  ์—ฐ๋ น, ์‹ ์žฅ, ์ฒด์ค‘, ์ฒด์งˆ๋Ÿ‰์ง€์ˆ˜๋Š” ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ์ฐจ์ด๊ฐ€ ์—†์—ˆ๋‹ค. ์ฒด์„ฑ๋ถ„ ๊ฒ€์‚ฌ ๊ฒฐ๊ณผ ์ €๊ทผ์œก ์ง‘๋‹จ(LMG)๊ณผ ๊ณ ๊ทผ์œก ์ง‘๋‹จ(HMG)์˜ ์ฒด์ง€๋ฐฉ๋Ÿ‰๊ณผ ์ฒด์ง€๋ฐฉ๋ฅ ์€ ๋‘ ์ง‘๋‹จ ๊ฐ„์— ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ์ฐจ์ด๊ฐ€ ์žˆ์—ˆ๋‹ค(p<.01, p<.001). ์ €๊ทผ์œก ์ง‘๋‹จ(LMG)๊ณผ ๊ณ ๊ทผ์œก ์ง‘๋‹จ(HMG)์˜ ์ œ์ง€๋ฐฉ๋Ÿ‰๊ณผ ๊ทผ์œก๋Ÿ‰์€ ๋‘ ์ง‘๋‹จ ๊ฐ„์— ์œ ์˜ํ•œ ์ฐจ์ด๊ฐ€ ์—†์—ˆ์œผ๋‚˜, ๊ทผ์œก๋ฅ ์€ ๋‘ ์ง‘๋‹จ ๊ฐ„์— ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ์ฐจ์ด๊ฐ€ ์žˆ์—ˆ๋‹ค(p<.001).

2. ์ฐฉ์ง€์˜ค๋ฅ˜์ ์ˆ˜์‹œ์Šคํ…œ

์ €๊ทผ์œก ์ง‘๋‹จ(LMG)๊ณผ ๊ณ ๊ทผ์œก ์ง‘๋‹จ(HMG)์˜ ์ฐฉ์ง€์˜ค๋ฅ˜์ ์ˆ˜์‹œ์Šคํ…œ(LESS)์€ Table 2 ์™€ ๊ฐ™๋‹ค.
1) 30cm ๋†’์ด์™€ ์‹ ์žฅ์˜ 50%๊ฑฐ๋ฆฌ ์ฐฉ์ง€์˜ค๋ฅ˜์ ์ˆ˜์‹œ์Šคํ…œ์€ ๋‘ ์ง‘๋‹จ ๊ฐ„์— ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ์ฐจ์ด๊ฐ€ ์žˆ์—ˆ๋‹ค(p<.01).
2) 45cm ๋†’์ด์™€ ์‹ ์žฅ์˜ 50%๊ฑฐ๋ฆฌ ์ฐฉ์ง€์˜ค๋ฅ˜์ ์ˆ˜์‹œ์Šคํ…œ์€ ๋‘ ์ง‘๋‹จ ๊ฐ„์— ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ์ฐจ์ด๊ฐ€ ์žˆ์—ˆ๋‹ค(p<.05).
3) 45cm ๋†’์ด์™€ ์‹ ์žฅ์˜ 75%๊ฑฐ๋ฆฌ ์ฐฉ์ง€์˜ค๋ฅ˜์ ์ˆ˜์‹œ์Šคํ…œ์€ ๋‘ ์ง‘๋‹จ ๊ฐ„์— ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ์ฐจ์ด๊ฐ€ ์žˆ์—ˆ๋‹ค(p<.05).

๋…ผ์˜

์ด ์—ฐ๊ตฌ๋Š” 20๋Œ€ ๊ฑด๊ฐ•ํ•œ ์„ฑ์ธ ์—ฌ์„ฑ๋“ค์„ ๋Œ€์ƒ์œผ๋กœ ๊ทผ์œก๋Ÿ‰๊ณผ ๊ทผ์œก๋ฅ ์— ๋”ฐ๋ฅธ ๋ฌด๋ฆŽ ๊ด€์ ˆ์˜ ์ „๋ฐฉ์‹ญ์ž์ธ๋Œ€ ์†์ƒ ์œ„ํ—˜ ํ‰๊ฐ€์ง€ํ‘œ์ธ ๋“œ๋กญ ์ˆ˜์ง์ ํ”„ ์‹œ ์ฐฉ์ง€์˜ค๋ฅ˜์ ์ˆ˜์‹œ์Šคํ…œ์˜ ์ฐจ์ด๋ฅผ ๊ทœ๋ช…ํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ, 30cm ๋†’์ด์˜ ๋ฐ•์Šค ์œ„์—์„œ ์ž์‹ ์˜ ์‹ ์žฅ์˜ 50% ๊ฑฐ๋ฆฌ ๋–จ์–ด์ง„ ์ง€์ ์— ์–‘ ๋ฐœ ์ฐฉ์ง€ ํ›„ ์ˆ˜์ง์œผ๋กœ ์ ํ”„ํ•˜๋Š” ๋™์ž‘๋ฟ๋งŒ ์•„๋‹ˆ๋ผ 45cm ๋†’์ด์™€ ์‹ ์žฅ์˜ 50% ๊ฑฐ๋ฆฌ, 45cm ๋†’์ด์™€ ์‹ ์žฅ์˜ 75% ๊ฑฐ๋ฆฌ ๋™์ž‘์—์„œ ์ €๊ทผ์œก ์ง‘๋‹จ์ด ๊ณ ๊ทผ์œก ์ง‘๋‹จ์˜ ์ฐฉ์ง€์˜ค๋ฅ˜์ ์ˆ˜์‹œ์Šคํ…œ ๋ณด๋‹ค ๋” ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด๋Š” ์ €๊ทผ์œก ์ง‘๋‹จ์ด ๊ณ ๊ทผ์œก ์ง‘๋‹จ๋ณด๋‹ค ์ฐฉ์ง€์ž์„ธ์˜ ์˜ค๋ฅ˜๋กœ ์ธํ•œ ์ „๋ฐฉ์‹ญ์ž์ธ๋Œ€์˜ ์†์ƒ ์œ„ํ—˜์ด ๋” ํฌ๋‹ค๋Š” ๊ฒƒ์„ ์˜๋ฏธํ•œ๋‹ค. ์ฐฉ์ง€์˜ค๋ฅ˜์ ์ˆ˜์‹œ์Šคํ…œ(LESS)์˜ ๋†’์€ ์ ์ˆ˜๋Š” ์ž˜๋ชป๋œ ์ฐฉ์ง€ ๊ธฐ์ˆ ์„ ๋‚˜ํƒ€๋‚ด๊ณ , ๋ฐ˜๋ฉด์— ๋‚ฎ์€ ์ ์ˆ˜๋Š” ์ข‹์€ ์ฐฉ์ง€ ๊ธฐ์ˆ ์„ ๋‚˜ํƒ€๋‚ธ๋‹ค[15, 18]. Cho & Lim[28]์€ ์ฐฉ์ง€์˜ค๋ฅ˜์ ์ˆ˜์‹œ์Šคํ…œ์ด 6์  ์ด์ƒ์ธ ์ „๋ฐฉ์‹ญ์ž์ธ๋Œ€ ์†์ƒ ์œ„ํ—˜์ด ๋†’์€ ์—ฐ๊ตฌ๋Œ€์ƒ์ž์™€ 4์  ์ดํ•˜์ธ ์ „๋ฐฉ์‹ญ์ž์ธ๋Œ€ ์†์ƒ ์œ„ํ—˜์ด ๋‚ฎ์€ ์—ฐ๊ตฌ๋Œ€์ƒ์ž ๊ฐ„์˜ ์ƒ์ฒด ์—ญํ•™์  ๋ณ€์ธ๊ณผ ์ˆ˜์ง ์ง€๋ฉด๋ฐ˜๋ ฅ ๋ณ€์ธ์—์„œ ์œ ์˜ํ•œ ์ฐจ์ด๊ฐ€ ๋‚˜ํƒ€๋‚ฌ๋‹ค๊ณ  ๋ณด๊ณ ํ•˜์˜€๋‹ค. ์ด ์—ฐ๊ตฌ์—์„œ๋Š” 20๋Œ€ ๊ฑด๊ฐ•ํ•œ ์„ฑ์ธ ์—ฌ์„ฑ๋“ค์„ ๋Œ€์ƒ์œผ๋กœ ์ฐฉ์ง€์˜ค๋ฅ˜์ ์ˆ˜์‹œ์Šคํ…œ์˜ ์ข…ํ•ฉ์ ์ˆ˜ ๊ฒฐ๊ณผ๋ฅผ ์‚ดํŽด๋ณด๋ฉด ๊ทผ์œก๋ฅ ์ด ๋†’์€ ๊ณ ๊ทผ์œก ์ง‘๋‹จ์€ 5.5์ (๋ณดํ†ต: 5~6์ )์œผ๋กœ ๋ณดํ†ต์˜ ์ฐฉ์ง€์ˆ˜์ค€์„ ๊ฐ€์ง€๊ณ  ์žˆ์—ˆ๊ณ , ๊ทผ์œก๋ฅ ์ด ๋‚ฎ์€ ์ €๊ทผ์œก ์ง‘๋‹จ์€ 7.3์ (์ž˜๋ชป๋œ ์ฐฉ์ง€: 6์  ์ด์ƒ)์œผ๋กœ ์ „๋ฐฉ์‹ญ์ž์ธ๋Œ€ ์†์ƒ ์œ„ํ—˜์ด ๋†’์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด์™€ ๊ด€๋ จ๋œ ์„ ํ–‰์—ฐ๊ตฌ๋ฅผ ์‚ดํŽด๋ณด๋ฉด, Cho et al.[24], ์€ 20๋Œ€ ์—˜๋ฆฌํŠธ ์—ฌ์ž ์ถ•๊ตฌ์„ ์ˆ˜ ์ง‘๋‹จ์˜ ๊ฒฝ์šฐ 6.88์ , 20๋Œ€ ์—ฌ์ž ๋ฐœ๋ ˆ๋ฌด์šฉ์ˆ˜ ์ง‘๋‹จ์˜ ๊ฒฝ์šฐ 5.33์ ์œผ๋กœ ๋ณดํ†ต ์ฐฉ์ง€ ๋™์ž‘์„ ๊ฐ€์ง€๊ณ  ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋ณด๊ณ ํ•˜์˜€๋‹ค. Smith et al.[32], ์˜ ์—ฐ๊ตฌ๊ฒฐ๊ณผ์— ์˜ํ•˜๋ฉด ์ „๋ฐฉ์‹ญ์ž์ธ๋Œ€๊ฐ€ ์†์ƒ๋œ ์—ฌ์ž ์šด๋™์„ ์ˆ˜(Lacrosse, Soccer, Basketball, Football, Field hockey, Gymnatstics) 19๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ์ฐฉ์ง€์˜ค๋ฅ˜์ ์ˆ˜์‹œ์Šคํ…œ์„ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ 5.49๋กœ ๋‚˜ํƒ€๋‚˜ ๋ณดํ†ต์˜ ์ฐฉ์ง€์ˆ˜์ค€์„ ๊ฐ€์ง€๊ณ  ์žˆ๋‹ค๊ณ  ๋ณด๊ณ ํ•˜์˜€์œผ๋ฉฐ ๋˜ํ•œ, Padua et al.[18], ์˜ ์—ฐ๊ตฌ๊ฒฐ๊ณผ์— ์˜ํ•˜๋ฉด ์ „๋ฐฉ์‹ญ์ž์ธ ์†์ƒ ์˜ˆ๋ฐฉ์„ ์œ„ํ•˜์—ฌ ์ธก์ •ํ•œ ์ „์ฒด ์ฐฉ์ง€์˜ค๋ฅ˜์ ์ˆ˜์‹œ์Šคํ…œ ํ‰๊ท  ์ ์ˆ˜๊ฐ€ 4.92์ ์œผ๋กœ ์ข‹์€ ์ฐฉ์ง€์ˆ˜์ค€์„ ๊ฐ€์ง€๊ณ  ์žˆ๋‹ค๊ณ  ๋ณด๊ณ ํ•˜๊ณ  ์žˆ๋‹ค. Cho et al.[21], ์€ ๊ฒฝ๋ ฅ 10๋…„ ์ด์ƒ ๋œ ์—˜๋ฆฌํŠธ ๊ตญ๊ฐ€๋Œ€ํ‘œ 20๋Œ€ ์—ฌ์ž ํŽœ์‹ฑ์„ ์ˆ˜ ์ง‘๋‹จ์˜ ๊ฒฝ์šฐ 5.09์ , 20๋Œ€ ๋‚จ์ž ํŽœ์‹ฑ์„ ์ˆ˜ ์ง‘๋‹จ์˜ ๊ฒฝ์šฐ 2.47์ ์œผ๋กœ ๋‚˜ํƒ€๋‚˜ ๋‚จ์ž ํŽœ์‹ฑ์„ ์ˆ˜ ์ง‘๋‹จ์ด ์—ฌ์ž ํŽœ์‹ฑ์„ ์ˆ˜ ์ง‘๋‹จ๋ณด๋‹ค ์šฐ์ˆ˜ํ•œ ์ฐฉ์ง€ ๊ธฐ์ˆ ์„ ๊ฐ€์ง€๊ณ  ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋ณด๊ณ ํ•˜์˜€๋‹ค. ์ด๋ ‡๋“ฏ ์—ฌ๋Ÿฌ ์—ฐ๊ตฌ์ž๋“ค์—๊ฒŒ์„œ ๋‹ค์–‘ํ•œ ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋ฅผ ๋ณด๊ณ ํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ์ด๋Š” ์šด๋™์ข…๋ชฉ(๋ฐœ๋ ˆ, ์ถ•๊ตฌ, ๋ผํฌ๋กœ์Šค, ๋†๊ตฌ, ํ•˜ํ‚ค, ์ฒด์กฐ, ํŽœ์‹ฑ ๋“ฑ)์˜ ์ฐจ์ด๊ฐ€ ๊ฒฐ๊ณผ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ํŒ๋‹จ๋œ๋‹ค.
Padua et al.[15, 18], ์ด ์ œ์‹œํ•œ 30cm ๋†’์ด์˜ ๋ฐ•์Šค ์œ„์—์„œ ์ž์‹ ์˜ ์‹ ์žฅ์˜ 50% ๊ฑฐ๋ฆฌ ๋–จ์–ด์ง„ ์ง€์ ์— ์–‘ ๋ฐœ ์ฐฉ์ง€ ํ›„ ์ˆ˜์ง์œผ๋กœ ์ ํ”„ํ•˜๋Š” ๋™์ž‘์—์„œ ๊ทผ์œก๋Ÿ‰์€ ์ „๋ฐฉ์‹ญ์ž์ธ๋Œ€ ์†์ƒ์œ„ํ—˜์— ์˜ํ–ฅ์„ ๋ฏธ์นœ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด ์—ฐ๊ตฌ์—์„œ ์ƒˆ๋กญ๊ฒŒ ์ œ์‹œํ•œ 45cm ๋†’์ด์˜ ๋ฐ•์Šค ์œ„์—์„œ ์ž์‹ ์˜ ์‹ ์žฅ์˜ 50% ๊ฑฐ๋ฆฌ ๋–จ์–ด์ง„ ์ง€์ ๊ณผ 75% ๊ฑฐ๋ฆฌ ๋–จ์–ด์ง„ ์ง€์ ์— ์–‘ ๋ฐœ ์ฐฉ์ง€ ํ›„ ์ˆ˜์ง์œผ๋กœ ์ ํ”„ํ•˜๋Š” ๋™์ž‘์—์„œ ๊ทผ์œก๋Ÿ‰์ด ์ฒด์ค‘์˜ ๋ช‡ ํผ์„ผํŠธ๋ฅผ ์ฐจ์ง€ํ•˜๋Š”์ง€๋ฅผ ๋‚˜ํƒ€๋‚ด๋Š” ๊ทผ์œก๋ฅ ์ด ์ „๋ฐฉ์‹ญ์ž์ธ๋Œ€ ์†์ƒ์œ„ํ—˜์— ์˜ํ–ฅ์„ ๋ฏธ์นœ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค.

๊ฒฐ๋ก 

์ฐฉ์ง€์˜ค๋ฅ˜์ ์ˆ˜์‹œ์Šคํ…œ ์€ ๊ทผ์œก๋ฅ ์ด ๋‚ฎ์€ ์ €๊ทผ์œก ์ง‘๋‹จ์ด ๊ทผ์œก๋ฅ ์ด ๋†’์€ ๊ณ ๊ทผ์œก ์ง‘๋‹จ๋ณด๋‹ค ์ฐฉ์ง€์ž์„ธ์˜ ์˜ค๋ฅ˜๋กœ ์ธํ•œ ์ „๋ฐฉ์‹ญ์ž์ธ๋Œ€ ์†์ƒ ์œ„ํ—˜์ด ๋” ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ฒฐ๋ก ์ ์œผ๋กœ ์„ฑ์ธ ์—ฌ์„ฑ์˜ ๊ทผ์œก๋ฅ ์€ ์ „๋ฐฉ์‹ญ์ž์ธ๋Œ€ ์†์ƒ๊ณผ ๋ฐ€์ ‘ํ•œ ๊ด€๋ จ์ด ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ ๋‹ค์–‘ํ•œ ๋ฐฉ๋ฒ•์œผ๋กœ ์ œ์‹œํ•œ ๋ฐ•์Šค ๋†’์ด(30cm์™€ 45cm)์™€ ๊ฑฐ๋ฆฌ(์ž์‹ ์˜ ์‹ ์žฅ์˜ 50%์™€ 75%) ๊ณผ์ œ ์ด์™ธ์—๋„ ๋” ๋‹ค์–‘ํ•œ ๋ฐฉ๋ฒ•์œผ๋กœ ์ฒด๋‚ด ๊ทผ์œก๋ฅ ๊ณผ ์ „๋ฐฉ์‹ญ์ž์ธ๋Œ€ ์†์ƒ ์œ„ํ—˜๊ณผ์˜ ๊ด€๊ณ„๋ฅผ ๋ฐํžˆ๋Š” ํ›„์†์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•  ๊ฒƒ์œผ๋กœ ํŒ๋‹จ๋œ๋‹ค. ๋˜ํ•œ, ์ฐฉ์ง€์˜ค๋ฅ˜์ ์ˆ˜์‹œ์Šคํ…œ์—์„œ ํ™•์ธ๋œ ์ „๋ฐฉ์‹ญ์ž์ธ๋Œ€ ์†์ƒ ์˜ˆ๋ฐฉ ์šด๋™ํ”„๋กœ๊ทธ๋žจ ๊ตฌ์„ฑ์— ์ฒด๋‚ด ๊ทผ์œก๋ฅ ์„ ํ–ฅ์ƒ์‹œํ‚ค๋Š” ์šด๋™์˜ ํ•„์š”์„ฑ์„ ์ธ์‹ํ•˜๊ณ  ํฌํ•จ๋˜์–ด์•ผ ํ•  ๊ฒƒ์„ ์ œ์•ˆํ•œ๋‹ค.

Acknowledgements

์ด ๋…ผ๋ฌธ์€ ์ €์ž์˜ ์—ฐ๊ตฌํ™œ๋™๊ณผ ๊ด€๋ จ๋œ ์—ฐ๊ตฌ๋น„๋ฅผ ์ง€์› ๋ฐ›์€ ๊ฒƒ์ด ์—†์Œ.

Conflicts of Interest

The authors declare no conflict of interest.

Figureย 1.
Composition of landing error scoring system (Cho & Lim (2017))
ajk-2019-21-3-15f1.jpg
Figureย 2.
Video Analysis Program
ajk-2019-21-3-15f2.jpg
Tableย 1.
Result of Characteristic of Subjects
Variable Group
p-value
Low Muscle Group (n=10) High Muscle Group (n=10)
Age (yrs) 23.90ยฑ5.21 22.70ยฑ3.16 .542
Height (cm) 164.38ยฑ4.86 163.44ยฑ3.48 .625
Weight (kg) 59.90ยฑ7.02 55.96ยฑ4.21 .145
Body Mass Index (kg/m2) 22.10ยฑ1.75 20.94ยฑ1.40 .120
Fat Mass (kg) 19.46ยฑ2.76 15.06ยฑ2.37** .001
%fat (%) 32.46ยฑ2.71 26.86ยฑ3.00*** .000
Fat Free Mass (kg) 40.44ยฑ5.01 40.90ยฑ2.88 .845
Muscle Mass (kg) 38.43ยฑ2.75 37.99ยฑ4.76 .803
%Muscle (%) 63.34ยฑ2.73 68.51ยฑ2.98*** .001

* p<.05

** p<.01

*** p<.001

Tableย 2.
Result of Landing Error Scoring System
Parameters Group
p-value
Low Muscle Group (n=10) High Muscle Group (n=10)
LESS 30cm/distance 6.60ยฑ1.89 4.30ยฑ1.33** .006
50%/height
45cm/distance 7.10ยฑ2.02 5.50ยฑ1.08* .045
50%/height
45cm/distance 8.30ยฑ1.49 6.80ยฑ1.39* .032
75%/height

a)LESS: Landing Error Scoring System

* p<.05

** p<.01

*** p<.001

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