| Literature DB >> 31936244 |
Luís Branquinho1, Ricardo Ferraz1,2,3, Bruno Travassos1,2,4, Mário C Marques1,2.
Abstract
This study aimed to identify the effects of continuous and fractionated game formats on internal and external load in small-sided games in soccer. Twenty male professional soccer players participated in the study performing the same exercise (5 vs. 5 players) continuously (1 × 24 min) and in a repeated/fractioned manner (2 × 12 min, 4 × 6 min, and 6 × 4 min). A comparison between playing conditions was assessed by means of standardized mean differences calculated with combined variance and respective confidence intervals of 90%. The limits for the statistics were 0.2, trivial; 0.6, small; 1.2, moderate; 2.0, large; and >2.0, very large. The results indicate that the use of the continuous method seems to present the tendency of less physical impact on the internal and external loads compared to the fractionated method. In addition, the higher number of exercise repetitions in the fractionated method was found to increase the external load compared to the continuous method. This study showed that application of small-sided games by the fractionated method tends to result in higher training loads.Entities:
Keywords: continuous method; external load; fractionated method; internal load; soccer; training load
Mesh:
Year: 2020 PMID: 31936244 PMCID: PMC7014000 DOI: 10.3390/ijerph17020405
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Descriptive statistics on the different condition variables.
| Variables | T1 | T2 | T3 | T4 | Change in Mean |
|---|---|---|---|---|---|
| Total distance meters | 2254.5 ± 167.1 | 2333.60 ± 116.7 | 2371.28 ± 283.4 | 2194.9 ± 839.12 | (a) 79.1; ±74.7 * |
| (b) 116.8; ±100.3 * | |||||
| (c) −59.6; ±327.6 | |||||
| (d) 37.7; ±118.3 | |||||
| (e) −138.7; ±319.3 | |||||
| (f) −176.3; ±257.0 * | |||||
| Max. Speed m/s | 6.05 ± 0.52 | 6.24 ± 0.59 | 6.20 ± 0.49 | 6.06 ± 0.54 | (a) 0.7; ±1.0 * |
| (b) 0.5; ±1.0 | |||||
| (c) 0.1; ±0.8 | |||||
| (d) −0.1; ±1.0 | |||||
| (e) −0.6; ±1.1 | |||||
| (f) −0.5; ±0.9 | |||||
| Max.HR b.min−1 | 181.95 ± 9.07 | 184.3 ± 10.03 | 186.60 ± 10.55 | 185.55 ± 11.16 | (a) 2.4; ±4.4 |
| (b) 4.7; ±4.1 ** | |||||
| (c) 3.6; ±5.0 * | |||||
| (d) 2.3; ±5.0 | |||||
| (e) 1.3; ±5.5 | |||||
| (f) −1.1; ±2.6 * | |||||
| Av.HR b.min−1 | 152.7 ± 18.20 | 155.45 ± 16.90 | 154.00 ± 19.23 | 155.15 ± 15.16 | (a) 2.8; ±5.0 * |
| (b) 1.3; ±4.7 | |||||
| (c) 2.5; ±7.3 | |||||
| (d) −1.5; ±4.5 | |||||
| (e) −0.3; ±5.6 | |||||
| (f) 1.2; ±6.9 | |||||
| Very Low meters | 262.06 ± 32.03 | 250.33 ± 50.95 | 277.06 ± 55.26 | 309.06 ± 93.41 | (a) −11.7; ±24.4 |
| (b) 15.0; ±20.0 * | |||||
| (c) 47.0; ±38.2 ** | |||||
| (d)26.7; ±20.1 ** | |||||
| (e) 58.7; ±27.5 *** | |||||
| (f) 32.0; ±26.0 ** | |||||
| Low meters | 1822.10 ± 176.05 | 1990.80 ± 171.27 | 2037 ± 180.68 | 2063.83 ± 389.43 | (a) 168.7; ±92.5 *** |
| (b) 215;.4 ±55.7 | |||||
| (c) 241.7; ±140.0 *** | |||||
| (d) 46.7; ±86.2 * | |||||
| (e) 73.0; ±187.3 | |||||
| (f) 26.3; ±153.9 | |||||
| Moderate meters | 143.95 ± 45.66 | 157.52 ± 58.25 | 171.43 ± 65.74 | 153.88 ± 68.25 | (a) 13.6; ±19 * |
| (b) 27.5; ±24.6 ** | |||||
| (c) 9.9; ±24.6 | |||||
| (d) 13.9; ±32.1 | |||||
| (e) −3.6; ±28.9 | |||||
| (f) −17.5; ±22.3 * | |||||
| H/VH meters | 12.19 ± 12.27 | 17.03 ± 15.94 | 18.26 ± 18.85 | 16.80 ± 14.42 | (a) 4.8; ±6.5 * |
| (b) 6.1; ±8.1 * | |||||
| (c) 4.6; ±5.7 * | |||||
| (d) 1.2; ±7.6 | |||||
| (e) −0.2; ±5.9 | |||||
| (f) −1.5; ±6.4 |
Note: Differences in means ((%); ±90% CL) are identified as: (a) T1 vs. T2; (b) T1 vs. T3; (c) T1 vs. T4; (d) T2 vs. T3; (e) T2 vs. T4; and (f) T3 vs. T4. Asterisks indicate the uncertainty in the true differences as follows: * possible, ** likely, and *** very likely.
Figure 1Standardized Cohen’s differences for comparative results of the T1 vs. T2, T1 vs. T3, T1 vs. T4, T2 vs. T3, T2 vs. T4, and T3 vs. T4 SSGs. Error bars indicate uncertainty in true mean changes with 90% confidence intervals.