Association between Low Energy Availability (LEA) and Impaired Sleep Quality in Young Rugby Players

被引:7
作者
Saidi, Oussama [1 ]
Souabni, Maher [1 ,2 ]
Del Sordo, Giovanna C. [3 ]
Maviel, Clement [1 ]
Peyrel, Paul [4 ,5 ]
Maso, Freddy [6 ]
Vercruyssen, Fabrice [1 ]
Duche, Pascale [1 ]
机构
[1] Toulon Univ, Lab Youth Phys Act & Sports Hlth JAP2S, F-83041 Toulon, France
[2] Paris Nanterre Univ, Interdisciplinary Lab Neurosci Physiol & Psychol P, F-39200 Nanterre, France
[3] New Mexico State Univ, Psychol Dept, 1780 E Univ Blvd, Las Cruces, NM 88003 USA
[4] Laval Univ, Dept Kinesiol, Quebec City, PQ G1V 0A6, Canada
[5] Laval Univ, Quebec Heart & Lung Inst, Quebec City, PQ G1V 0A6, Canada
[6] Rugby Training Ctr Sport Assoc Montferrandaise, F-63100 Clermont Ferrand, France
关键词
sport nutrition; energy intake; energy expenditure; polysomnography; adolescents; rugby; relative energy deficiency in sport; A CONSENSUS STATEMENT; FEMALE; DEFICIENCY; NUTRITION; GHRELIN; LEPTIN; ROLES;
D O I
10.3390/nu16050609
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
Low energy availability (LEA) has been associated with several physiological consequences, but its impact on sleep has not been sufficiently investigated, especially in the context of young athletes. This study examined the potential association between energy availability (EA) status and objective sleep quality in 42 male rugby players (mean age: 16.2 +/- 0.8 years) during a 7-day follow-up with fixed sleep schedules in the midst of an intensive training phase. Participants' energy intake was weighed and recorded. Exercise expenditure was estimated using accelerometry. Portable polysomnography devices captured sleep on the last night of the follow-up. Mean EA was 29.3 +/- 9.14 kcal center dot kg FFM-1 center dot day-1, with 47.6% of athletes presenting LEA, 35.7% Reduced Energy Availability (REA), and 16.7% Optimal Energy Availability (OEA). Lower sleep efficiency (SE) and N3 stage proportion, along with higher wake after sleep onset (WASO), were found in participants with LEA compared to those with OEA (p = 0.04, p = 0.03 and p = 0.005, respectively, with large effect sizes). Segmented regression models of the EA-sleep outcomes (SE, sleep onset latency [SOL]), WASO and N3) relationships displayed two separate linear regions and produced a best fit with a breakpoint between 21-33 kcal center dot kg FFM-1 center dot day-1. Below these thresholds, sleep quality declines considerably. It is imperative for athletic administrators, nutritionists, and coaches to conscientiously consider the potential impact of LEA on young athletes' sleep, especially during periods of heavy training.
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页数:12
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