์ด ๋ฌธ์„œ์˜ ์›๋ณธ์€ ์™ธ๋ถ€ ์œ„ํ‚ค์—์„œ ๊ฐ€์ ธ์™”์Šต๋‹ˆ๋‹ค.
1RM (one repetition maximum)

1. ๊ฐœ์š”[ํŽธ์ง‘]

์›จ์ดํŠธ ํŠธ๋ ˆ์ด๋‹ ๋ฐ ์ŠคํŠธ๋ ์Šค ํŠธ๋ ˆ์ด๋‹์—์„œ ์ž์ฃผ ์‚ฌ์šฉ๋˜๋Š” ๊ฐœ๋…์ด๋‹ค. ๊ฐ„๋‹จํžˆ ๋งํ•˜๋ฉด 1ํšŒ ์ตœ๋Œ€ ๋ฐ˜๋ณต์ด๋ผ ํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ๊ตฌ์ฒด์ ์œผ๋กœ๋Š” ๋ณธ์ธ์ด ์ •ํ™•ํ•œ ์šด๋™ ๋™์ž‘์„ ์‚ฌ์šฉํ•ด์„œ 1ํšŒ ๋“ค์–ด์˜ฌ๋ฆด ์ˆ˜ ์žˆ๋Š” ๋ฌด๊ฒŒ์˜ ์ตœ๋Œ€์น˜๋‹ค. ์ž์‹ ์˜ ๊ทผ์œก์ด ์ตœ๋Œ€๋กœ ์ˆ˜์ถ•ํ–ˆ์„ ๋•Œ ๋‚ผ ์ˆ˜ ์žˆ๋Š” ํž˜์œผ๋กœ ํ•ด์„ํ•  ์ˆ˜๋„ ์žˆ๋‹ค.

์ผ๋ฐ˜์ ์œผ๋กœ ๊ทผ์„ฑ์žฅ์— ์ถฉ๋ถ„ํ•œ ์ž๊ทน์„ ์ฃผ๊ธฐ ์œ„ํ•ด์„œ๋Š” 1RM์˜ 60% ์ด์ƒ์ด ๋˜๋Š” ๋ฌด๊ฒŒ๋ฅผ ์‚ฌ์šฉํ•ด์•ผ ํ•œ๋‹ค๊ณ  ์•Œ๋ ค์ ธ ์žˆ๋‹ค.[1] ๊ทธ๋ฆฌ๊ณ  ๊ณ ์ค‘๋Ÿ‰ ์ €๋ฐ˜๋ณต, ์ €์ค‘๋Ÿ‰ ๊ณ ๋ฐ˜๋ณต๊ณผ ๊ฐ™์€ ๋ฃจํ‹ด ์„ ํƒ์— ์žˆ์–ด์„œ๋„ ๊ณ ์ค‘๋Ÿ‰๊ณผ ์ €์ค‘๋Ÿ‰์˜ ๊ธฐ์ค€์€ 1RM์ด๋‹ค. ์ฆ‰ 1RM์„ ์•„๋Š” ๊ฒƒ์€ ํŠธ๋ ˆ์ด๋‹์— ์žˆ์–ด ๊ฝค ์ค‘์š”ํ•œ ์š”์†Œ๋ผ ํ•  ์ˆ˜ ์žˆ๋‹ค.[2]

RM์ด๋ž€ ๋ง์€ 1RM๊ณผ ๋งˆ์ฐฌ๊ฐ€์ง€๋กœ NํšŒ ์ตœ๋Œ€ ๋ฐ˜๋ณต, ์ฆ‰ ์ •ํ™•ํ•œ ๋™์ž‘์œผ๋กœ NํšŒ ๋“ค์–ด์˜ฌ๋ฆด ์ˆ˜ ์žˆ๋Š” ๋ฌด๊ฒŒ์˜ ์ตœ๋Œ€์น˜๋ฅผ ๋œปํ•œ๋‹ค.

3๋Œ€ 500์ด๋ž€ ๋ฐˆ์—์„œ ๋‚˜์˜ค๋Š” ์ˆซ์ž๊ฐ€ 3๊ฐ€์ง€ ์šด๋™์˜ 1RM๋“ค์„ ๋”ํ•œ ๊ฒƒ.

2. ์ธก์ •[ํŽธ์ง‘]

๋ฌด๊ฑฐ์šด ๋ฌด๊ฒŒ๋ฅผ ์ž˜๋ชป ๋‹ค๋ฃจ๋ฉด ๋ถ€์ƒ์„ ๋‹นํ•˜๊ธฐ ๋งค์šฐ ์‰ฝ๋‹ค. ๊ทธ๋Ÿฐ๋ฐ 1RM ์ธก์ •์„ ์œ„ํ•ด์„œ๋Š” ์ž์‹ ์ด ๋‹ค๋ฃฐ ์ˆ˜ ์žˆ๋Š” ๋ฌด๊ฒŒ์˜ ํ•œ๊ณ„์— ๊ฐ€๊นŒ์šด ๋ฌด๊ฒŒ๋ฅผ ๋“ค์–ด์•ผ๋งŒ ํ•œ๋‹ค.[3] ๋”ฐ๋ผ์„œ 1RM์„ ๋‹จ๋…์œผ๋กœ ์ธก์ •ํ•˜๋Š” ๊ฒƒ์€ ๋งค์šฐ ์œ„ํ—˜ํ•˜๋ฉฐ, ํ•ญ์ƒ ๋ถˆ์˜์˜ ์‚ฌ๊ณ ๋ฅผ ๋Œ€๋น„ํ•œ ๋ณด์กฐ์ž์™€ ๊ฐ™์ด ์ธก์ •ํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค.

์ด๋Ÿฐ ์ด์œ ๋กœ ์กฐ๊ธˆ ๋” ์•ˆ์ „ํ•˜๊ฒŒ ์ธก์ •ํ•˜๋Š” ๋ฐฉ๋ฒ•๋“ค์ด ๊ฐœ๋ฐœ๋˜์–ด ์™”๋Š”๋ฐ, ์ ๋‹นํžˆ ๋ฌด๊ฑฐ์šด ๋ฌด๊ฒŒ๋ฅผ ์—ฌ๋Ÿฌ๋ฒˆ ๋“ค๋„๋ก ํ•˜๊ณ  ๊ทธ ์ˆ˜ํ–‰๊ฒฐ๊ณผ๋ฅผ 1RM ์ถ”์ • ๊ณต์‹์— ๋ผ์›Œ๋งž์ถฐ 1RM์„ ์œ ์ถ”ํ•ด๋‚ด๋Š” ๋ฐฉ๋ฒ•์ด๋‹ค.[4] ์œ ๋ช…ํ•œ ๊ณต์‹์œผ๋กœ๋Š” Epley๊ณต์‹๊ณผ Brzycki๊ณต์‹์ด ์žˆ์œผ๋ฉฐ ๊ทธ ์™ธ์—๋„ ์—ฌ๋Ÿฌ ๊ณต์‹์ด ์žˆ๋‹ค.
์ถ”์ •๋ฐฉ์‹
1RM ๊ณต์‹ (W=๋ฌด๊ฒŒ, R=๋ฐ˜๋ณตํšŸ์ˆ˜)
Epley
Brzycki
McGlothin
Lombardi
Mayhew et al.
[5]
O'Conner et al.
[6]
Wathen

์ฐธ๊ณ ๋กœ ์œ„ 7๊ฐ€์ง€ ๊ณต์‹์œผ๋กœ ์ถ”์ •ํ•œ 1RM ์ถ”์ •๊ฐ’๋“ค์˜ ํ‰๊ท ์€ ์•„๋ž˜ ํ‘œ์™€ ๊ฐ™๋‹ค.[7] ๊ณต์‹๋“ค์ด ๊ฐ–๋Š” ์˜ค์ฐจ์˜ ํ˜•ํƒœ๋ฅผ ๊ณ ๋ คํ•˜์ง€ ์•Š๊ณ  ๋‹จ์ˆœํ•˜๊ฒŒ ํ‰๊ท ์„ ๋‚ธ ๊ฒƒ์ด๊ธฐ์— 1ํšŒ ๋ฐ˜๋ณต ๋ฌด๊ฒŒ์™€ ์‹ค์ œ 1RM์—๋Š” ์ฐจ์ด๊ฐ€ ์žˆ์œผ๋ฏ€๋กœ ์ด๋ฅผ ๊ฐ์•ˆํ•ด์„œ ๋ณธ์ธ์˜ 1RM์„ ๊ณ„์‚ฐํ•  ๊ฒƒ.[8]
์•„๋ž˜ ํ‘œ์— ๋‚˜์™€์žˆ์ง€ ์•Š์€ ๋ฌด๊ฒŒ์˜ ๊ฒฝ์šฐ๋Š” ๋‹จ์œ„๋ฅผ ์ ์ ˆํžˆ ๋ณ€ํ™˜ํ•˜์—ฌ ์‚ฌ์šฉํ•˜๋ฉด ๋œ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด ํŠน์ • ์šด๋™์—์„œ 5ํ‚ฌ๋กœ๊ทธ๋žจ์„ ๊ฐ€์ง€๊ณ  ์ตœ๋Œ€ ๋ฐ˜๋ณตํ•œ ๊ฒฐ๊ณผ 8ํšŒ ๋ฐ˜๋ณต์ด ๊ฐ€๋Šฅํ–ˆ๋‹ค๋ฉด 5ํ‚ฌ๋กœ๊ทธ๋žจ = 50 * 100๊ทธ๋žจ์ด๋ฏ€๋กœ ๊ทธ ์šด๋™์˜ 1RM์€ 62.4 * 100๊ทธ๋žจ, ์ฆ‰ 6.24ํ‚ฌ๋กœ๊ทธ๋žจ์ด ๋œ๋‹ค.
๋ฌด๊ฒŒ(W)
10
20
30
40
50
60
70
80
90
100
110
120
130
๋ฐ˜๋ณตํšŸ์ˆ˜(R)
1
10.2
20.5
30.7
41
51.2
61.5
71.7
82
92.2
102.5
112.7
123
133.2
2
10.6
21.2
31.8
42.4
53
63.6
74.2
84.9
95.5
106.1
116.7
127.3
137.9
3
10.9
21.9
32.8
43.7
54.7
65.6
76.5
87.4
98.4
109.3
120.2
131.2
142.1
4
11.2
22.5
33.7
45
56.2
67.5
78.7
89.9
101.2
112.4
123.7
134.9
146.2
5
11.5
23.1
34.6
46.2
57.7
69.3
80.8
92.4
103.9
115.5
127
138.6
150.1
6
11.9
23.7
35.6
47.4
59.3
71.1
83
94.8
106.7
118.5
130.4
142.3
154.1
7
12.2
24.3
36.5
48.6
60.8
73
85.1
97.3
109.5
121.6
133.8
145.9
158.1
8
12.5
24.9
37.4
49.9
62.4
74.8
87.3
99.8
112.2
124.7
137.2
149.7
162.1
9
12.8
25.6
38.4
51.1
63.9
76.7
89.5
102.3
115.1
127.9
140.6
153.4
166.2
10
13.1
26.2
39.3
52.4
65.5
78.6
91.7
104.8
117.9
131
144.1
157.3
170.4
11
13.4
26.9
40.3
53.7
67.2
80.6
94
107.4
120.9
134.3
147.7
161.2
174.6
12
13.8
27.5
41.3
55.1
68.8
82.6
96.4
110.1
123.9
137.6
151.4
165.2
178.9
13
14.1
28.2
42.3
56.4
70.5
84.6
98.8
112.9
127
141.1
155.2
169.3
183.4
14
14.5
28.9
43.4
57.9
72.3
86.8
101.2
115.7
130.2
144.6
159.1
173.6
188
15
14.8
29.7
44.5
59.3
74.2
89
103.8
118.6
133.5
148.3
163.1
178
192.8
16
15.2
30.4
45.6
60.9
76.1
91.3
106.5
121.7
136.9
152.1
167.4
182.6
197.8
17
15.6
31.2
46.9
62.5
78.1
93.7
109.3
124.9
140.6
156.2
171.8
187.4
203
18
16
32.1
48.1
64.2
80.2
96.2
112.3
128.3
144.4
160.4
176.4
192.5
208.5
19
16.5
33
49.5
66
82.4
98.9
115.4
131.9
148.4
164.9
181.4
197.9
214.4
20
17
33.9
50.9
67.9
84.8
101.8
118.8
135.8
152.7
169.7
186.7
203.6
220.6
21
17.5
35
52.5
69.9
87.4
104.9
122.4
139.9
157.4
174.9
192.4
209.8
227.3
22
18
36.1
54.1
72.2
90.2
108.3
126.3
144.4
162.4
180.5
198.5
216.6
234.6
23
18.7
37.3
56
74.7
93.3
112
130.6
149.3
168
186.6
205.3
224
242.6
24
19.3
38.7
58
77.4
96.7
116.1
135.4
154.8
174.1
193.5
212.8
232.2
251.5
25
20.1
40.2
60.3
80.5
100.6
120.7
140.8
160.9
181
201.1
221.3
241.4
261.5
[1] ๊ทธ๋Ÿฌ๋‚˜ ์ด๊ฒƒ์€ ๊ผญ ์‚ฌ์‹ค์ด๋ผ ํ•  ์ˆ˜ ์—†๋‹ค. ๊ทผ์„ฑ์žฅ(hypertrophy)์„ ์œ„ํ•ด์„œ๋Š” ๋ณผ๋ฅจ, ์ฆ‰ ๋ฌด๊ฒŒ*๋ฐ˜๋ณตํšŸ์ˆ˜๊ฐ€ ์ค‘์š”ํ•˜๋‹ค. 1RM์˜ 50% ์ดํ•˜์ธ ์ €์ค‘๋Ÿ‰์œผ๋กœ๋„ ๊ณ ๋ฐ˜๋ณต์„ ๋ณ‘ํ–‰ํ•œ๋‹ค๋ฉด ๊ทผ์œก์€ ์„ฑ์žฅํ•œ๋‹ค. ์ตœ์‹ ์˜ ๋ฉ”ํƒ€์—ฐ๊ตฌ๋Š” ๋ช‡ ํšŒ๋ฅผ ๋ฐ˜๋ณตํ•˜๋Š”์ง€๋Š” ํฐ ์˜ํ–ฅ์ด ์—†๋‹ค๋Š” ์ชฝ์œผ๋กœ ๊ฒฐ๋ก ์„ ๋‚ด๊ณ  ์žˆ๋‹ค.#
[2] ๋‹จ ์šด๋™์‹ ๊ฒฝ์ด ๋ฐœ๋‹ฌํ•˜์ง€ ์•Š์€ ์ดˆ๋ณด๋•Œ๋Š” ํฌ๊ฒŒ ์ค‘์š”ํ•˜์ง€ ์•Š๋‹ค. ์ดˆ๋ณด์—๊ฒŒ๋Š” ์ ๋‹นํžˆ ๋ฌด๊ฒ๋‹ค๊ณ  ๋А๊ปด์ง€๋Š” ๋ฌด๊ฒŒ๋„ ์ถฉ๋ถ„ํ•œ ์šด๋™ํšจ๊ณผ๋ฅผ ๋‚ผ ์ˆ˜ ์žˆ๊ณ  ๋†’์€ ๋ฌด๊ฒŒ๋ฅผ ๋“œ๋Š” ๊ฒƒ์ด ์ค‘์š”ํ•œ๊ฒŒ ์•„๋‹ˆ๋ผ ์ •ํ™•ํ•œ ์ž์„ธ๋ฅผ ์ตํ˜€์„œ ํ–ฅํ›„ ๋ถ€์ƒ์„ ๋ฐฉ์ง€ํ•˜๋Š” ๊ฒƒ์ด ์ค‘์š”ํ•˜๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค.
[3] ์˜์–ด๋กœ๋Š” maximal testing
[4] submaximal estimation
[6] ๋ณด๋ฉด ์•Œ๊ฒ ์ง€๋งŒ ์œ„ Epley ๊ณต์‹๊ณผ ํ•ญ์ƒ ๋‹ค๋ฅธ ๊ฐ’์„ ๋‚ธ๋‹ค. ๊ฐ„์ ‘์ธก์ • ๋ฐฉ์‹์˜ ํ•œ๊ณ„๋ฅผ ๋ณด์—ฌ์ค€๋‹ค ํ•  ์ˆ˜ ์žˆ๋‹ค.
[7] 25ํšŒ ๋ฐ˜๋ณต์„ ์ดˆ๊ณผํ•˜๋Š” ๊ฒฝ์šฐ๋Š” ๊ฐ’์ด ๋น„์ •์ƒ์ ์œผ๋กœ ๋ฐœ์‚ฐํ•˜์—ฌ ํ‘œ๊ธฐํ•˜์ง€ ์•Š์Œ. ๋˜ํ•œ ์œ„ ์ถ”์ •๊ณต์‹๋“ค์€ ๋Œ€์ฒด์ ์œผ๋กœ 10~15RM ์ด์ƒ์—์„œ๋Š” ์ •ํ™•๋„๊ฐ€ ๋–จ์–ด์ง€๋Š” ํŽธ์ด๋ผ ์•Œ๋ ค์ ธ ์žˆ์œผ๋ฏ€๋กœ (1์„ธํŠธ๋‹น 15RM ์ด์ƒ ๊ฐ€๋Š” ํ›ˆ๋ จ์ด ๋งŽ์ง€ ์•Š๋‹ค. ๋”ฐ๋ผ์„œ 15RM ์ด์ƒ์—์„œ ์ •ํ™•ํ•  ํ•„์š”๊ฐ€ ์—†์Œ) 15RM ์ด์ƒ์˜ ๊ณ ๋ฐ˜๋ณต ์ˆ˜์น˜๋Š” ๋น„๋ก ๊ทธ๋ž˜ํ”„ ์ถ”์ด ์ƒ์œผ๋กœ๋Š” ๋ฌธ์ œ๊ฐ€ ์—†์„์ง€๋ผ๋„ ์‹ค์ œ 1RM์„ ์ •ํ™•ํžˆ ๋ฐ˜์˜ํ•˜์ง€ ๋ชปํ•  ๊ฐ€๋Šฅ์„ฑ์ด ์žˆ๋‹ค.
[8] ์˜ค์ฐจ๋ฅผ ์ˆ˜์ •ํ•˜์ง€ ์•Š๊ณ  ํ‘œ๊ธฐํ•œ ๊ฒƒ์€ ์ฒซ์งธ๋กœ ์˜ค์ฐจ๊ฐ€ ์žˆ์Œ์„ ๊ฐ•์กฐํ•˜๊ธฐ ์œ„ํ•จ์ด๊ณ  ๋‘˜์งธ๋กœ ์‹ค์ œ ์˜ค์ฐจ ์ถ”์ด๊ฐ€ ์–ด๋А ์ •๋„ ๋˜๋Š”์ง€๋ฅผ ๊ณต๊ฐœํ•˜๊ธฐ ์œ„ํ•จ์ด๋‹ค.