Assessing the Influence of Sport Nutrition Education to Lower the Risk of Low Energy Availability in Elite Athletes
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 30
- 试验地点
- 2
- 主要终点
- Change in Knowledge
研究概览
简要总结
Athletes in low energy availability (LEA) are at increased risk of developing the Relative Energy Deficiency in Sports (RED-S) syndrome (Mountjoy et al., 2018). LEA is a mismatch between dietary energy intake and exercise energy expenditure, leaving inadequate energy to support physiological functions, and the RED-S syndrome increases the risk of impaired health and performance (Drew et al., 2018, Sesbreno et al., 2022a, under review; Sesbreno et al., 2022b, in preparation; & VanHeest et al., 2014). Although athletes with eating disorders are at high risk, many more may be vulnerable due to uninformed practices for weight loss and/or failure to match energy intake to energy demands for exercise (Wells et al., 2020). Despite efforts to better detect athletes in LEA/RED-S;there is no research on the effectiveness of dietary interventions to influence energy intake in international elite/world-class athletes tomitigate risk of LEA (De Souza et al., 2021; Elliott-Sale et al., 2018; Heikura et al., 2021; Melin et al., 2014; Stellingwerf et al., 2021;Stenqvist et al., 2021 & Rogers et al., 2021). Therefore, it is important to investigate dietary interventions to influence eating habits to improve energy availability in elite athletes.
Energy deficit associated with LEA in elite athletes may be accompanied by insufficient carbohydrate intake for training demands (Burke et al., 2011; Heikura et al., 2017; Sesbreno et al., 2021). Unfortunately, there is a paucity of information on the influence of sport nutrition education interventions on dietary intake in elite international (tier 4) and world-class (tier 5) athletes (McKay et al., 2022). However, recent findings suggest an association between nutrition knowledge and energy/carbohydrate availability in young female endurance athletes (Kettunen et al., 2021). This finding may offer a cost effective approach to lower the risk of LEA since education programs have shown to improve nutrition knowledge in athletes (Tam et al., 2019). However, an increase in nutrition knowledge may not always lead to a parallel increase in energy/carbohydrate intake (Heikkila et al., 2019). Indeed, the influence of nutrition education programs on improving dietary intake in athletes is reportedly equivocal (Boidin et al., 2021). However, the differences in intervention design with lack of guidelines on standardized and/or validated methods to assess sport nutrition knowledge and eating habits in elite athletes have made comparisons difficult for generalized interpretation. Fortunately, the new arrival of the Platform to Evaluate Athlete Knowledge of Sports Nutrition Questionnaire (PEAK-NQ) and the Athlete Diet Index (ADI) offer validated methods for assessing sport nutrition knowledge and eating habits in elite athletes (Capling et al., 2021 and Tam et al., 2021). Nevertheless, it is also important to appreciate that nutrition knowledge is not the sole influencing factors to athletes' dietary habits; and recognizing additional factors affecting athletes' decisions around nutrition is critical.
A multitude of factors influence food choices in elite athletes (Thurecht et al., 2019). It ranges from sensory appeal, emotional influences, influence of others, weight control, performance among others (Thurecht et al, 2020). Interestingly, a moderate intercorrelation between nutritional attributes of the food and weight control, performance as well as food values and beliefs were reported (Thurecht et al., 2021). In fact, restraint eating behaviour have been associated with LEA, body weight and physique morphology (Jurov et al., 2021; Sesbreno et al., 2021; Sesbreno et al., 2022c in preparation; Sesbreno et al., 2022d, in preparation & Viner et al., 2015). Clearly, multiple factors influence dietary habits, and therefore, it is important to consider how education interventions are developed to influence dietary outcomes in elite athletes.
The Capability, Opportunity, Motivation - Behaviour (COM-B) model describes the importance of influencing 3-sources of behaviour to consistently alter habits (Michie et al., 2011). This was reiterated by sport nutritionists who characterized enablers and barriers to nutrition adherence in high performance sports (Bentley et al., 2019). In a case study, dietary interventions that targeted all 3-source behaviours was associated with improvements in dietary intake, including energy availability as an elite rugby player prepared for his 1st professional season (Costello et al., 2018). Therefore, a sport nutrition education program that accounts for all source behaviours may be necessary to improve eating habits intake to lower the risk of LEA/RED-S in elite international and world-class athletes during the competitive season.
Overall Aim: Investigate whether elite athletes' nutrition knowledge and dietary intake can improve through an education intervention to lower the risk of low energy availability.
详细描述
Study Design
The duration of the study will be 3-weeks and 30 participants will be recruited. Participants will complete the EDE-Q 6.0 to examine inclusion and exclusion criteria to participate in the study. When enrollment to participate is confirmed and informed consent is received, participants will complete the platform to evaluate athlete knowledge of sports nutrition questionnaire (PEAK-NQ) and three factor eating questionnaire (TFEQ)-R18 (cognitive restraint eating subscale only), Low energy availability male or female questionnaire (LEAM- or LEAF-Q) on day 1, a 5-day food intake journal from day 2 to 6 and the food management questionnaire, athlete diet index questionnaire (ADI), athlete food choice questionnaire (AFCQ)and surface anthropometry on day 7.
Participants will be randomly assigned to a group nutrition education treatment program. The programs will be in a classroom setting (60min for treatment group and 45min for the control group) at the end of the first week (day 8). Post assessment will be scheduled over week 3 and will include the completion of the 5-day food intake journal from day 15 to day 20 and EDE-6.0 (weight and shape concern subscales only), TFEQ-R18 (cognitive restraint eating subscale only), ADI questionnaire, PEAK-NQ, AFCQ, and surface anthropometry on day 21.
The investigator will be onsite on day 1, 7, 8 and 21. This will allow the investigator to clarify any missing or incomplete items with the participant in person at INS Québec and/or the Volleyball Canada national training centre.
Randomization The randomization procedure will occur via blocked randomization with stratification for high and low PEAK-NQ score (separated with the median score of a similar reference group (Tam et al., 2021). In the case of chance imbalances between groups a minimization design will be applied (Vickers, 2006). The process of randomization will be completed by the investigator.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Supportive Care
- 盲法
- Single (Participant)
入排标准
- 年龄范围
- 18 Years 至 40 Years(Adult)
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Over 18 years of age
- •Active to participate in training and competition
- •Able-bodied sport program
- •Having given informed consent
排除标准
- •Eating Disorder Examination Questionnaire 6.0 total score > 2.50 (women) and > 1.68 (male)
- •Unable to understand spoken and written English
结局指标
主要结局
Change in Knowledge
时间窗: 3 weeks
PEAK-NQ questionnaire
Change in carbohydrate intake
时间窗: 3 weeks
Food intake record
次要结局
- Change in food frequency(3 weeks)
