| Literature DB >> 27298808 |
Hun-Young Park1, Hyejung Hwang1, Jonghoon Park2, Seongno Lee3, Kiwon Lim4.
Abstract
PURPOSE: This study was designed as a meta-analysis of randomized controlled trials comparing effectiveness of altitude/hypoxic training (experimental) versus sea-level training (control) on oxygen delivery capacity of the blood and aerobic exercise capacity of elite athletes in Korea.Entities:
Keywords: aerobic exercise capacity; altitude/hypoxic training; fixed and random effect model; heterogeneity; meta-analysis; oxygen delivery capacity of the blood
Year: 2016 PMID: 27298808 PMCID: PMC4899894 DOI: 10.20463/jenb.2016.03.20.1.3
Source DB: PubMed Journal: J Exerc Nutrition Biochem ISSN: 2233-6834
Figure 1.PRISMA chart of the search and study inclusion process
Characteristics of included studies for meta-analysis
| Study | N | Sex | Subject | Altitude/Hypoxic training type |
|---|---|---|---|---|
| Sunoo et al. (2007) | Exp. (11) | Male | Fin swimmers | - LLTH(IHT): 3,000m simulated altitude |
| Shin & Cho (2003) | Exp. (8) | Male | Swimmers | - LLTH(IHT): 2,500m simulated altitude |
| Yun & Lee (2014) | Exp. (8) | Male | Tennis players | - LLTH(IHT): 2,500m~4,000m simulated altitude increased by 500m in every week |
| Park et al. (2011) | Exp. (10) | Male | Athletes | - LHTL: Living(3,000m), Training(700~1,330m) more than16 hrs residence everyday(living) |
| Sunoo & Hwang (2004) | Exp. (8) | Female | Athletes | - LHTH: 3,000m simulated altitude living(8hrs), 2,000m simulated altitude training(1.5hrs) |
| Sunoo et al. (2005) | Exp. (9) | males | Basketball players | - LLTH(IHE): 3,000m simulated altitude resting and sleeping |
| Jung et al. (2004) | Exp. (10) | males | Athletes | - LHTH: living and training in 1,896m altitude 60~70%HRmax exercise, 7.5hrs, 6days/week, 4weeks |
| Kim et al. (2009) | Exp. (18) | males | Soccer players | - LLTH(IHE) : 3,000m simulated altitude resting and sleeping |
Effects of altitude/hypoxic training vs. sea-level training on RBC (105cell/μl).
| Model | Study name | Std diff in means | standard error | variance | Lower limit | Upper limit | Z-value | p-value |
|---|---|---|---|---|---|---|---|---|
| Sunoo et al. (2007) | 1.453 | 0.491 | 0.241 | 0.490 | 2.415 | 2.958 | 0.003 | |
| Shin and Cho (2003) | 31.752 | 5.635 | 31.756 | 20.707 | 42.797 | 5.635 | 0.000 | |
| Yun and Lee (2014) | 2.832 | 0.708 | 0.501 | 1.445 | 4.219 | 4.003 | 0.000 | |
| Park et al. (2011) | 7.062 | 1.203 | 1.447 | 4.705 | 9.420 | 5.871 | 0.000 | |
| Sunoo and Hwang (2004) | 0.761 | 0.536 | 0.287 | -0.289 | 1.811 | 1.420 | 0.156 | |
| Sunoo et al. (2005) | 2.292 | 0.607 | 0.368 | 1.103 | 3.482 | 3.778 | 0.000 | |
| Jung et al. (2004) | 0.632 | 0.458 | 0.210 | -0.266 | 1.531 | 1.380 | 0.168 | |
| Kim et al. (2009) | 15.891 | 2.085 | 4.348 | 11.804 | 19.978 | 7.621 | 0.000 | |
| Random | 4.499 | 1.036 | 1.073 | 2.469 | 6.529 | 4.343 | 0.000 |
Heterogeneity: Q-value=106.572(p=.000), I2=93.432
Effects of altitude/hypoxic training vs. sea-level training on Hb (g/dl).
| Model | Study name | Std diff in means | standard error | variance | Lower limit | Upper limit | Z-value | p-value |
|---|---|---|---|---|---|---|---|---|
| Sunoo et al. (2007) | 1.453 | 0.491 | 0.241 | 0.490 | 2.415 | 2.958 | 0.003 | |
| Shin and Cho (2003) | 96.449 | 17.057 | 290.953 | 63.018 | 129.881 | 5.654 | 0.000 | |
| Yun and Lee (2014) | 2.825 | 0.707 | 0.499 | 1.440 | 4.210 | 3.998 | 0.000 | |
| Park et al. (2011) | 19.037 | 3.043 | 9.260 | 13.073 | 25.002 | 6.256 | 0.000 | |
| Sunoo and Hwang (2004) | 0.790 | 0.537 | 0.289 | -0.263 | 1.843 | 1.470 | 0.142 | |
| Sunoo et al. (2005) | 3.771 | 0.786 | 0.617 | 2.231 | 5.311 | 4.800 | 0.000 | |
| Jung et al. (2004) | 1.511 | 0.507 | 0.257 | 0.518 | 2.505 | 2.981 | 0.003 | |
| Kim et al. (2009) | 15.064 | 1.980 | 3.921 | 11.183 | 18.945 | 7.608 | 0.000 | |
| Random | 5.447 | 1.234 | 1.523 | 3.028 | 7.866 | 4.414 | 0.000 |
Heterogeneity: Q-value=119.043(p=.000), I2=94.120
Effects of altitude/hypoxic training vs. sea-level training on Hct (%).
| Model | Study name | Std diff in means | standard error | variance | Lower limit | Upper limit | Z-value | p-value |
|---|---|---|---|---|---|---|---|---|
| Sunoo et al. (2007) | 4.834 | 0.864 | 0.747 | 3.140 | 6.528 | 5.592 | 0.000 | |
| Shin and Cho (2003) | 7.217 | 1.370 | 1.878 | 4.531 | 9.903 | 5.267 | 0.000 | |
| Yun and Lee (2014) | 3.726 | 0.827 | 0.684 | 2.105 | 5.347 | 4.506 | 0.000 | |
| Park et al. (2011) | 2.285 | 0.575 | 0.331 | 1.158 | 3.412 | 3.974 | 0.000 | |
| Sunoo and Hwang (2004) | 0.222 | 0.519 | 0.270 | -0.795 | 1.240 | 0.428 | 0.669 | |
| Sunoo et al. (2005) | 1.102 | 0.506 | 0.256 | 0.111 | 2.094 | 2.178 | 0.029 | |
| Jung et al. (2004) | 0.899 | 0.469 | 0.220 | -0.021 | 1.819 | 1.916 | 0.055 | |
| Kim et al. (2009) | 56.258 | 7.272 | 52.888 | 42.004 | 70.511 | 7.736 | 0.000 | |
| Random | 3.639 | 0.996 | 0.992 | 1.687 | 5.591 | 3.654 | 0.000 |
Heterogeneity: Q-value=104.973(p=.000), I2=93.332
Effects of altitude/hypoxic training vs. sea-level training on EPO (mU/mL).
| Model | Study name | Std diff in means | standard error | variance | Lower limit | Upper limit | Z-value | p-value |
|---|---|---|---|---|---|---|---|---|
| Sunoo et al. (2007) | 0.369 | 0.441 | 0.194 | -0.495 | 1.233 | 0.837 | 0.402 | |
| Yun and Lee (2014) | 1.210 | 0.544 | 0.296 | 0.144 | 2.275 | 2.224 | 0.026 | |
| Park et al. (2011) | 0.958 | 0.472 | 0.223 | 0.032 | 1.883 | 2.029 | 0.042 | |
| Sunoo and Hwang (2004) | 0.384 | 0.522 | 0.273 | -0.639 | 1.408 | 0.736 | 0.462 | |
| Sunoo et al. (2005) | 0.752 | 0.488 | 0.238 | -0.204 | 1.708 | 1.542 | 0.123 | |
| Fixed | 0.711 | 0.219 | 0.048 | 0.282 | 1.140 | 3.251 | 0.001 |
Heterogeneity: Q-value=2.115(p=.715), I2=0.000
Effects of altitude/hypoxic training vs. sea-level training on VO2max (ml/kg/min).
| Model | Study name | Std diff in means | standard error | variance | Lower limit | Upper limit | Z-value | p-value |
|---|---|---|---|---|---|---|---|---|
| Sunoo et al. (2007) | 0.171 | 0.438 | 0.192 | -0.687 | 1.029 | 0.390 | 0.697 | |
| Shin and Cho (2003) | 0.313 | 0.503 | 0.253 | -0.673 | 1.299 | 0.622 | 0.534 | |
| Yun and Lee (2014) | 1.425 | 0.560 | 0.313 | 0.328 | 2.523 | 2.546 | 0.011 | |
| Sunoo and Hwang (2004) | 0.585 | 0.528 | 0.279 | -0.451 | 1.620 | 1.106 | 0.269 | |
| Sunoo et al. (2005) | 0.200 | 0.473 | 0.223 | -0.726 | 1.126 | 0.423 | 0.672 | |
| Jung et al. (2004) | 2.832 | 0.633 | 0.401 | 1.592 | 4.073 | 4.475 | 0.000 | |
| Kim et al. (2009) | 7.232 | 1.005 | 1.011 | 5.262 | 9.202 | 7.194 | 0.000 | |
| Random | 1.637 | 0.641 | 0.411 | 0.381 | 2.894 | 2.554 | 0.011 |
Heterogeneity: Q-value=56.328(p=.000), I2=89.348