In an attempt to better identify and inform the energy requirements of elite soccer players, we quantified the energy expenditure (EE) of players from the English Premier League (n = 6) via the doubly labeled water method (DLW) over a 7-day in-season period. Energy intake (EI) was also assessed using food diaries, supported by the remote food photographic method and 24 hr recalls. The 7-day period consisted of 5 training days (TD) and 2 match days (MD). Although mean daily EI (3186 ± 367 kcals) was not different from (p > .05) daily EE (3566 ± 585 kcals), EI was greater (p < .05) on MD (3789 ± 532 kcal; 61.1 ± 11.4 kcal.kg -1 LBM) compared with TD (2956 ± 374 kcal; 45.2 ± 9.3 kcal.kg -1 LBM, respectively). Differences in EI were reflective of greater (p < .05) daily CHO intake on MD (6.4 ± 2.2 g.kg -1 ) compared with TD (4.2 ± 1.4 g.kg -1 ). Exogenous CHO intake was also different (p < .01) during training sessions (3.1 ± 4.4 g.h -1 ) versus matches (32.3 ± 21.9 g.h -1 ). In contrast, daily protein (205 ± 30 g.kg -1 , p = .29) and fat intake (101 ± 20 g, p = .16) did not display any evidence of daily periodization as opposed to g.kg -1 , Although players readily achieve current guidelines for daily protein and fat intake, data suggest that CHO intake on the day before and in recovery from match play was not in accordance with guidelines to promote muscle glycogen storage.
Professional soccer players from the first team (1st team, n = 27), under twenty-one (U21, n = 21) and under eighteen (U18, n = 35) squads of an English Premier League soccer team were assessed for whole body and regional estimates of body composition using dual-energy X-ray absorptiometry (DXA). Per cent body fat was lower in 1st team (10.0 ± 1.6) compared with both U21 (11.6 ± 2.5, P = 0.02) and U18 (11.4 ± 2.6, P = 0.01) players. However, this difference was not due to variations (P = 0.23) in fat mass between squads (7.8 ± 1.6 v. 8.8 ± 2.1 v. 8.2 ± 2.4 kg, respectively) but rather the presence of more lean mass in 1st team (66.9 ± 7.1 kg, P < 0.01) and U21 (64.6 ± 6.5 kg, P = 0.02) compared with U18 (60.6 ± 6.3 kg) players. Accordingly, fat mass index was not different (P = 0.138) between squads, whereas lean mass index was greater (P < 0.01) in 1st team players (20.0 ± 1.1 kg · m(-2)) compared with U18 players (18.8 ± 1.4 kg · m(-2)). Differences in lean mass were also reflective of higher lean tissue mass in all regions, for example, upper limbs/lower limbs and trunk. Data suggest that training and nutritional interventions for younger players should therefore be targeted to lean mass growth as opposed to body fat loss.
Additionally, CHO intake in U18s was lower (P<0.05) at breakfast, dinner and snacks 56 when compared with both squads but no differences were apparent at lunch. 57Furthermore, the U15/16s reported lower relative daily protein intake than the 58 U13/14s and U18s (1.6±0.3 vs. 2.2±0.5, 2.0±0.3 g·kg -1 ). A skewed distribution 59 (P<0.05) of daily protein intake was observed in all squads, with a hierarchical order 60 of dinner (~0.6 g·kg -1 ) > lunch (~0.5 g·kg -1 ) > breakfast (~0.3 g·kg -1 ). We conclude 61 elite youth soccer players do not meet current CHO guidelines. Although daily protein 62 targets are achieved, we report a skewed daily distribution in all ages such that 63 dinner>lunch>breakfast. Our data suggest that dietary advice for elite youth players 64 should focus on both total daily macronutrient intake and optimal daily distribution 65 patterns. al., 2015). These studies have typically been limited to reports of total daily energy 80and macronutrient intake, often concluding that elite youth soccer players habitually 81 don't meet their energy requirements (Boisseau et al. 2002; LeBlanc et al., 2002; Ruiz 82 et al., 2005;Russell and Pennock, 2011; Briggs et al., 2015). 83In addition to the quantification of daily energy and macronutrient intake, it is 84 important to consider timing of intake in relation to training sessions (Burke, 2010; 85 Mori, 2014), main meals (Garaulet and Gomez-Abellan, 2014; Johnston, 2014) and 86 sleep (Lane et al., 2015). Whilst this is most well documented for carbohydrate 87 (CHO) intake in order to fuel training and matches (Goedecke et al., 2013; 88 Jeukendrup, 2014) and promote glycogen re-synthesis (Zehnder et al., 2001; 89 Gunnarsson et al., 2013), recent data suggests that the daily distribution of protein 90 intake is critical for optimizing components of training adaptations such as muscle 91 protein synthesis (MPS) (Areta et al., 2013; Mamerow et al., 2014). Recent data has 92 highlighted the importance of quantity and timing of protein intake in elite youth 93 soccer players. Milsom et al. (2015) demonstrated that such populations typically 94 Therefore, the aims of the present study were two-fold: 1) to quantify the total daily 101 energy and macronutrient intakes of elite youth UK academy players of different ages 102 (U13/14, U15/16 and U18 playing squads) and 2) to quantify the daily distribution of 103 energy and macronutrient intake. In accordance with the higher absolute body masses 104 and training loads of the U18 squads (Wrigley et al., 2012), we hypothesised that this 105 squad would report higher absolute daily energy and macronutrient intakes in 106 comparison to the U13/14s and U15/16s. Furthermore, based on the habitual eating 107 patterns of both athletic and non-athletic populations (Mamerow et al., 2014), we 108 hypothesised that all squads would report an uneven daily distribution of 109 macronutrient intakes, particularly for daily protein intake. 110 Methodology 111 Participants 112Elite youth soccer players were recruited ...
Training duration may not be a predisposing factor in potential maladaptations in talent development programmes that promote early specialisation in elite youth soccer http://researchonline.ljmu.ac.uk/8210/ Article LJMU has developed LJMU Research Online for users to access the research output of the University more effectively. Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Users may download and/or print one copy of any article(s) in LJMU Research Online to facilitate their private study or for non-commercial research. You may not engage in further distribution of the material or use it for any profit-making activities or any commercial gain. The version presented here may differ from the published version or from the version of the record. Please see the repository URL above for details on accessing the published version and note that access may require a subscription.
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