Faculty of Sport and Health Sciences, University of Jyväskylä, Vuokatti, Finland.
J Int Soc Sports Nutr. 2023 Dec;20(1):2226639. doi: 10.1080/15502783.2023.2226639.
Low energy availability (LEA) can have negative performance consequences, but the relationships between LEA and performance are poorly understood especially in field conditions. In addition, little is known about the contribution of macronutrients to long-term performance. Therefore, the aim of this study was to evaluate if energy availability (EA) and macronutrient intake in a field-based situation were associated with laboratory-measured performance, anthropometric characteristics, blood markers, training volume, and/or questionnaire-assessed risk of LEA in young female cross-country (XC) skiers. In addition, the study aimed to clarify which factors explained performance.
During a one-year observational study, 23 highly trained female XC skiers and biathletes (age 17.1 ± 1.0 years) completed 3-day food and training logs on four occasions (September-October, February-March, April-May, July-August). Mean (±SD) EA and macronutrient intake from these 12 days were calculated to describe yearly overall practices. Laboratory measurements (body composition with bioimpedance, blood hormone concentrations, maximal oxygen uptake (VO), oxygen uptake (VO) at 4 mmol·L lactate threshold (OBLA), double poling (DP) performance (time to exhaustion), counter movement jump (height) and the Low Energy Availability in Females Questionnaire (LEAF-Q)) were completed at the beginning (August 2020, M) and end of the study (August 2021, M). Annual training volume between measurements was recorded using an online training diary.
The 12-day mean EA (37.4 ± 9.1 kcal·kg FFM·d) and carbohydrate (CHO) intake (4.8 ± 0.8 g·kg·d) were suboptimal while intake of protein (1.8 ± 0.3 g·kg·d) and fat (31 ± 4 E%) were within recommended ranges. Lower EA and CHO intake were associated with a higher LEAF-Q score ( = 0.44, = 0.042; = 0.47, = 0.026). Higher CHO and protein intake were associated with higher VO ( = 0.61, = 0.005; = 0.54, = 0.014), VO at OBLA ( = 0.63, = 0.003; = 0.62, = 0.003), and DP performance at M ( = 0.42, = 0.051; = 0.44, = 0.039). Body fat percentage (F%) was negatively associated with CHO and protein intake ( = -0.50, = 0.017; = -0.66, = 0.001). Better DP performance at M was explained by higher training volume (R = 0.24, = 0.033) and higher relative VO and VO at OBLA at M by lower F% (R = 0.44, = 0.004; R = 0.47, = 0.003). Increase from M to M in DP performance was explained by a decrease in F% (R = 0.25, = 0.029).
F%, and training volume were the most important factors explaining performance in young female XC skiers. Notably, lower F% was associated with higher macronutrient intake, suggesting that restricting nutritional intake may not be a good strategy to modify body composition in young female athletes. In addition, lower overall CHO intake and EA increased risk of LEA determined by LEAF-Q. These findings highlight the importance of adequate nutritional intake to support performance and overall health.
低能量状态(LEA)可能对表现产生负面影响,但在野外条件下,LEA 与表现之间的关系还了解甚少。此外,人们对宏量营养素对长期表现的贡献知之甚少。因此,本研究旨在评估在野外环境下,能量可用性(EA)和宏量营养素摄入量是否与实验室测量的表现、人体测量特征、血液标志物、训练量和/或通过低能量可用性女性问卷(LEAF-Q)评估的 LEA 风险有关,这些因素在年轻女性越野滑雪运动员中。此外,本研究旨在阐明哪些因素可以解释表现。
在一项为期一年的观察性研究中,23 名训练有素的年轻女性越野滑雪运动员和冬季两项运动员(年龄 17.1±1.0 岁)在四个季节(9 月至 10 月、2 月至 3 月、4 月至 5 月和 7 月至 8 月)完成了为期 3 天的食物和训练记录。从这 12 天中计算出平均(±SD)EA 和宏量营养素摄入量,以描述全年的总体实践情况。实验室测量(使用生物电阻抗测量身体成分、血液激素浓度、最大摄氧量(VO)、4mmol·L 乳酸阈时的摄氧量(OBLA)、双杆冲刺(DP)性能(疲劳时间)、反向跳跃(高度)和低能量可用性女性问卷(LEAF-Q))在研究开始(2020 年 8 月,M)和结束(2021 年 8 月,M)时进行。使用在线训练日记记录两次测量之间的年度训练量。
12 天的平均 EA(37.4±9.1kcal·kgFFM·d)和碳水化合物(CHO)摄入量(4.8±0.8g·kg·d)不理想,而蛋白质(1.8±0.3g·kg·d)和脂肪(31±4E%)摄入量在推荐范围内。较低的 EA 和 CHO 摄入量与更高的 LEAF-Q 评分相关(r=0.44,p=0.042;r=0.47,p=0.026)。较高的 CHO 和蛋白质摄入量与较高的 VO(r=0.61,p=0.005;r=0.54,p=0.014)、OBLA 时的 VO(r=0.63,p=0.003;r=0.62,p=0.003)和 M 时的 DP 性能(r=0.42,p=0.051;r=0.44,p=0.039)相关。体脂肪百分比(F%)与 CHO 和蛋白质摄入量呈负相关(r=-0.50,p=0.017;r=-0.66,p=0.001)。M 时更好的 DP 性能可以通过更高的训练量(R=0.24,p=0.033)和更高的相对 VO 和 OBLA 时的 VO 来解释,而 M 时较低的 F%则可以解释更高的 VO 和 VO (R=0.44,p=0.004;R=0.47,p=0.003)。DP 性能从 M 到 M 的提高可以通过 F%的降低来解释(R=0.25,p=0.029)。
F%和训练量是解释年轻女性越野滑雪运动员表现的最重要因素。值得注意的是,较低的 F%与更高的宏量营养素摄入量相关,这表明在年轻女性运动员中,限制营养摄入可能不是改变身体成分的好策略。此外,总体 CHO 摄入量和 EA 的减少会增加通过 LEAF-Q 确定的 LEA 风险。这些发现强调了充足的营养摄入对支持表现和整体健康的重要性。