Hostname: page-component-68945f75b7-qf55q Total loading time: 0 Render date: 2024-08-05T14:18:29.324Z Has data issue: false hasContentIssue false

Sex and gender in sports nutrition research: bridging the gap

Published online by Cambridge University Press:  01 July 2024

Sharon M. Madigan*
Affiliation:
Sport Ireland Institute, Dublin, D15 D462, Ireland Sport and Human Performance Research Centre, Department of Physical Education and Sport Sciences, University of Limerick, Limerick, Ireland
*
*Corresponding author: Sharon M. Madigan, email: smadigan@instituteofsport.ie
Rights & Permissions [Opens in a new window]

Abstract

The Olympic Games have grown to be the largest, gender-equal sporting event in the world, and the International Olympic Committee is committed to gender equality in sports encouraging and supporting the promotion of women in sports at all levels and in all structures with a view to implementing the principle of equality of men and women (IOC, 2023). Women competed for the first time at the 1900 Olympic Games in Paris, and the number of women competing has grown exponentially over the last 100 years, so an estimated 5494 female athletes (48 %) competed in the Summer Olympic Games 2021 in Tokyo. Supporting women (alongside men) in achieving optimum performance is crucial, and understanding that there are sex and gender gaps in sports nutrition research is important. One reason for this gap is the historical bias in sports and exercise science research towards male participants. This has led to a poor understanding of the unique physiological and nutritional needs of female athletes. In summary, a balanced approach is crucial to address the nutritional needs of both male and female athletes. Researchers should continue exploring this important area to optimise performance and health for all athletes. The aim of this review is to summarise current sports nutrition literature and highlight research that seeks to understand and address where the gaps are with respect to several key areas in sports nutrition recommendations that can impact advice and practice with both males and females.

Type
This review follows from a presentation within Symposium One: Influence of sex and gender in nutrition research
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of The Nutrition Society

One of the most inspiring stories of the past century is the increased participation of women in sports. The Summer Games comes around every 4 years and unlike other sports competitions men and women compete together. Over the last 100 years, the number of women competing in the Olympic Games has grown exponentially. Women competed for the first time at the 1900 Games in Paris. Of a total of 997 athletes, 22 women competed in 5 sports: tennis, sailing, croquet, equestrianism and golf. An estimated 5059 female athletes competed in the Summer Olympic Games 2016 in Brazil. The International Olympic Committee (IOC) is committed to gender equality in sports encouraging and supporting the promotion of women in sports at all levels and in all structures to implement the principle of equality of men and women (1). The addition of women’s boxing to the 2012 Games in London ensured that women competed in all the sports at the games. Since 1991, any new sport seeking to join the Olympic programme must have women’s competitions.

Supporting these women in achieving optimum performance is crucial and understanding that there are sex and gender gaps in sports nutrition research is an important gap to bridge. One of the reasons for this gap is the historical bias in sports and exercise science research towards male participants. Male athletes have traditionally been seen as the norm, with female athletes often considered an afterthought. This has led to a lack of understanding of the unique physiological and nutritional needs of female athletes. Women’s bodies differ from men’s in a myriad of ways, requiring different nutrition approaches to fuel them. Ensuring sex and gender-specific sports nutrition research in the future will ensure that women and girls as well as men and boys have the best possible nutrition strategies to help them perform and stay injury-free.

This review aims to summarise current sports nutrition literature and highlight research that seeks to understand and address where the gaps are in several key areas in sports nutrition and make several recommendations that can impact advice and practice for both male and female athletes.

Defining sports nutrition

Sports Nutrition or Sport and Exercise Nutrition Science is the application of nutrition principles to improve training, recovery, and performance(Reference Dunford2). Athletes have always consumed food but an academic focus on sports began in the 1930s when human physiology research studies began examining carbohydrate (CHO) and fat metabolism in athletes engaging in endurance exercise(Reference Dunford2). The focus shifted to competitive athletes followed by further research into nutritional needs and nutrient metabolism in the military and astronauts engaged in space travel(Reference Dunford2). The early work focused predominately on CHO metabolism but as understanding of the complex nutritional needs of athletes and trained personnel grew, a greater focus was shifted to protein metabolism and its impact on muscle anabolism and catabolism. In the 1980s, improvements in laboratory-based methodologies provided evidence to inform current sports nutrition guidelines(Reference Jonvik, King and Rollo3) and the first IOC consensus statement which remains relevant in its broadest sense almost 20 years later(Reference Burke4). With the evolution of science, the emphasis of sports nutrition is increasingly a personalised approach with interventions that aim to optimise training, performance and recovery with a greater focus on the technological advancements of wearables and ‘big data’(Reference Dunford2).

Sex and gender in sports nutrition research

Over the last decade, the lack of sex and gender diversity in scientific sports nutrition research has become clear. Failure to consider either or both sex and gender in study design and analysis is widespread(Reference Devries and Jakobi5). A recent review of 2547 original papers, position papers and reviews from 1993 to 2021(Reference Devries and Jakobi5) highlighted that 15 % (n 381) failed to report either sex or gender. Moreover, co-conflation of the terms sex and gender was widespread, causing further confusion. Historically, the bias in sports and exercise science research has been towards the study of male participants by male researchers(Reference Smith, McKay and Ackerman6). Male athletes have traditionally been viewed as the norm, with female athletes often considered (if at all) as an afterthought.

Hormonal differences between men and women can significantly influence the physiological response to exercise and nutrition. For example, women exercising at high intensities for relatively long periods may have different nutrient requirements during different phases of the menstrual cycle (MC)(Reference Campbell and Febbraio7). This has only recently been considered in research studies. Previously, male-only athletes have been studied as their physiology remains relatively consistent. Studies involving eumenorrheic women often only test at one-time point to limit hormonal variances which then may impact the application of the findings at other stages of the MC(Reference Helm, McGinnis and Basu8). The limitations of much of the research underpinning these recommendations have been the focus on male subjects. These studies have then been incorporated into systematic reviews or meta-analyses with the assumption that these guidelines can then be applied to female athletes. Numerous anatomical and biological differences exist between the sexes which can influence performance and women’s sports may differ from men in terms of shorter duration or distances or lighter equipment(Reference Smith, McKay and Ackerman6). Evidence for the unique physiological and nutritional needs of female athletes is therefore lacking and, hence, poorly understood(Reference Wohlgemuth, Arieta and Brewer9). This lack of female representation in sports nutrition research can have negative consequences on female athletes. Without a clear understanding of their nutritional needs, female athletes may not be achieving optimal nutrition to support their athletic performance and recovery.

Macronutrients

Energy

For athletes to ensure adequate energy intake for optimal performance, recovery and health, maintaining energy balance is essential(Reference Jagim, Jones and Askow10). Research on the energy demands of athletes has historically focused on male athletes, leading to significant gaps in understanding the unique physiological and performance needs of female athletes. It has been shown that there are sex differences in the energy expenditure of athletes(Reference Jagim, Jones and Askow10). Men generally have a higher RMR and energy expenditure compared to women which can have an impact on energy needs during training and competition(Reference Heydenreich, Kayser, Schutz and Melzer11,Reference Weyer, Walford, Harper, Milner, MacCallum, Tataranni and Ravussin12) . There may also be differences in energy availability between sexes. Energy availability, which is defined as dietary intake minus exercise energy expenditure, has been identified as low and more of an issue in female athletes causing metabolic disturbances such as menstrual disruption and poor bone health(Reference Loucks, Kiens and Wright13,Reference De Souza, Nattiv and Joy14) . Energy substrate stores play a key role in the regulation of fuel metabolism during exercise and are a determining factor of exercise performance. The relative contribution of these fuel sources is determined primarily by the intensity and duration of exercise, but it is also affected by diet, environmental conditions, training status and sex of the participant(Reference Hunter, Angadi and Bhargava15).

Carbohydrate

Although sports performance is dependent on a myriad of factors(Reference Kuikman, Smith and McKay16), sex is one of the most important. Sex can influence nutrient requirements and their metabolism(Reference Beaudry and Devries17). Sex has a significant impact on fuel utilisation with women relying to a greater extent on fat stores during exercise(Reference Beaudry and Devries17,Reference Oosthuyse and Bosch18) . The availability of CHO as a substrate for muscle and the central nervous system is crucial, especially in endurance sports. Sex-based differences in CHO requirements and metabolism arise(Reference Kuikman, Smith and McKay16), and it is important to critically review the evidence for timing, amount and type of CHO separately for males and females to establish the populations wherein the evidence was derived(Reference Kuikman, Smith and McKay16).

Gluconeogenesis rates are higher in the follicular phase than the luteal phase of the MC at exercise intensities >50 % maximum rate of oxygen consumption uptake during exercise (VO2 max)(Reference Campbell, Angus and Febbraio19). As such, a theoretical performance detriment could occur during the luteal phase due to impaired metabolism. Consuming high-CHO snacks/meals 3–4 h before exercise can mitigate these effects during the luteal phase(Reference Rehrer, McLay-Cooke, Sims and Hackney20). During exercise, current recommendations are to consume 30–60 g/h CHO for durations of 1–2·5 h and >90 g/h CHO for exercise durations >2·5 h for males and females irrespective of body weight(Reference Suh, Casazza and Horning21). However, these recommendations are largely based on studies of male athletes(Reference Rehrer, McLay-Cooke, Sims and Hackney20). In a 2022 review(Reference Kuikman, Smith and McKay16) that documented the representation of females in studies investigating CHO fuelling for exercise highlighted that of 937 studies (11 202 participants), 11 % were female and 89 % were male. There were 740 studies that were exclusively male, and 38 studies were exclusively female. Only 14 studies included methodological design features which specifically compared sex-based responses and 19 studies conducted sex-based comparisons within the statistical procedures. Athlete level (participation/club/elite etc.) was not identified in 53 % of studies and no studies included Tier 5 (elite world class) participants.

External hormone usage by female athletes using combined oral contraceptives (COC) must also be considered. Exogenous hormones can exert greater effects on glucose flux during exercise than those produced endogenously(Reference Suh, Casazza and Horning21). Given the wide variety of COC formulations available, the response of individual athletes to COC can vary greatly(Reference Sims, Kerksick and Smith-Ryan22). However, sex-based differences in muscle fibre composition, substrate utilisation during exercise (likely mediated through hormonal differences between males and females) and differences that might also occur within the female cohort, for example, phase of MC or COC usage, could impact requirements and metabolism of CHO(Reference Sims, Kerksick and Smith-Ryan22).

Fat

Fat is an essential macronutrient that is energy dense and allows the body to store and absorb fat-soluble vitamins and maintain sex hormone concentrations(Reference Manore23). The variations in female sex hormones during the follicular and luteal phases of the MC influence fat metabolism(Reference Boisseau and Isacco24). At rest and during exercise, females rely on fat to a greater extent than males(Reference Beaudry and Devries17,Reference Isacco, Duché and Boisseau25) , which is driven by higher resting energy expenditure during the luteal phase of the MC. Thus, adequate dietary fat intake, particularly during the luteal phase, is essential to cover the costs of upregulated fat metabolism. From a practical standpoint, females should allocate at least 20 % of total energy to dietary fats, not only to meet the demands of sex hormone regulation and fat-soluble vitamin absorption but also to satisfy sex-specific substrate needs. Additional emphasis should be placed on dietary fat intake during the luteal phase of the MC to support the increased reliance on fat metabolism(Reference Wohlgemuth, Arieta and Brewer26). While not exclusive to female athletes, there exists a ‘fear of fat’ in some athlete contexts. For example, in sports involving physique competitions, athletes are judged based on achieving a symmetrical and well-proportioned body composition with low fat mass and high lean body mass, so achieving these recommendations may be difficult(Reference Papanos and Faries27).

Protein

Protein requirements can vary for athletes depending on a variety of factors such as training intensity, duration and individual goals; it is essential for muscle repair, growth and recovery and in some circumstances can be used as a fuel source(Reference Jäger, Kerksick and Campbell28). Evidence suggests that males and females have increased daily protein needs well above the current RDA of 0·8 g/kg per d(Reference Thomas, Erdman and Burke29). The intakes are suggested(Reference Wooding, Packer and Kato30) to be between 1·2 and 2·0g/kg per d, but this recommendation is very broad and does not specifically mention sex differences. In another study(Reference Ansdell, Thomas and Hicks31) it was demonstrated that female athletes performing variable-intensity intermittent exercise had higher protein requirements as compared to non-active males. However, one simple observation is that most male athletes possess a greater quantity of skeletal muscle mass than females(Reference Ansdell, Thomas and Hicks31), and the consequence of this in terms of muscle metabolism during exercise is that females oxidise more fat but less CHO and amino acids compared with males(Reference Ansdell, Thomas and Hicks31).

Currently, no studies have specifically examined the requirements for protein for female athletes across the MC(Reference Sims, Kerksick and Smith-Ryan22). In eumenorrheic women, protein catabolism is higher at rest following aerobic endurance exercise in the luteal phase compared to the early follicular phase(Reference Lamont, Lemon and Bruot32,Reference Phillips, Atkinson and Tarnopolsky33) . Requirements for protein may differ at different parts of the MC, and again this may be influenced by the individual factors mentioned above such as training load or goals of training. Based on current evidence, it is considered premature to substantiate that female athletes require sex-specific guidelines about protein requirements provided energy needs are met. It is more likely that there is a need for further research using sport-specific competition and training-related exercise protocols that rigorously control for prior exercise, protein/CHO/energy intake, contraceptive use and phase of the MC(Reference Moore, Sygo and Morton34).

Fluid and electrolytes

In reviewing the development of sports nutrition as a discipline, hydration and its impact on exercise performance are the topic that has been most intensively researched(Reference Sawka, Burke and Eichner35). The fluid requirements for male and female athletes can differ due to physiological and biological factors. The MC can introduce unique physiologic demands for females compared to their male counterparts which may have an impact on fluid regulation. Changes in hormone levels throughout the MC can influence fluid balance, water and electrolyte regulation(Reference Giersch, Charkoudian and Stearns36).

Fluid retention during the MC can impact how athletes feel and may have significant impacts in sports where the athlete needs to ‘make weight’ such as combat sports. In a review by Helm et al. (Reference Helm, McGinnis and Basu8), hydration interventions involving athletic performance in menstruating women were considered. Of the 11 studies identified that assessed athletic outcomes, only 1 was considered both phases of the MC of the women and 1 only considered the luteal phase, and the other 9 studies measured outcomes in the follicular phase. Despite intra-MC variability not directly influencing markers of dehydration or net fluid balance, certain rehydration therapies did improve athletic performance. They found that interventions were associated with positive changes in urine volume, specific gravity and body weight, indicating improved hydration status. The study also reported significant beneficial effects on exercise performance and cognitive function. However, the authors noted that further research is needed to confirm these findings and determine optimal hydration interventions for females. It appears there is a role for CHO-electrolyte solutions in improving time-trial performance in the follicular phase. However, its application in the luteal phase is less clear. Current evidence supports the role of female sex hormones in influencing thirst and fluid and electrolyte balance. However, studies to date indicate that these do not contribute to whole-body water retention or significantly affect plasma volume at rest or during exercise(Reference Rodriguez-Giustiniani, Rodriguez-Sanchez and Galloway37). Studies are needed to clarify these gaps so that evidence-based guidance for athletes can be developed.

Micronutrients

One area where research in athletes has focused more predominantly on females (than males) is in relation to micronutrient requirements(Reference Smith, McKay and Ackerman38). This may be because micronutrient deficiencies and sub-optimal intakes among female athletes are a concern and are commonly prevented or treated with micronutrient supplements(Reference Smith, McKay and Ackerman38). Several micronutrients receive a great deal of attention when it comes to athletic populations such as iron, calcium and vitamin D. These are crucial in several aspects of performance (the role of iron for the oxygen-carrying capacity of blood and the importance of optimal calcium and vitamin D for bone health). Iron status may be an important aspect to consider when making sex comparisons as it has significant differences between males and females. Women have lower iron stores and higher iron requirements during MC, pregnancy and lactation. Additionally, women are more susceptible to iron deficiency anaemia (IDA) due to blood loss during menstruation. Given the higher prevalence of iron deficiency and IDA in women and findings that poor iron status can alter several physiological systems, it has been suggested that iron status is a critical variable to consider when making sex comparisons in physiology(Reference Ryan, Charkoudian and McClung39).

Ergogenic aids

A plethora of ergogenic aids, defined as a psychological technique(s), mechanical device(s) and nutritional or pharmacological approach that aims to enhance performance, are widely available(Reference Mota and Marocolo40), and their usage within athlete populations has been reported to be between 4 and 87 %(Reference Garthe and Maughan41), with potentially higher rates of use with female athletes. While most intervention studies investigating the effects of ergogenic aids on sports performance have been carried out in males, a recent meta-analysis examined the effectiveness of ergogenic aids in improving physical performance in female athletes(Reference López-Torres, Rodríguez-Longobardo, Capel-Escoriza and Fernández-Elías42). The review included 17 studies and found that ergogenic aids such as caffeine, beta-alanine and creatine kinase improved physical performance in female athletes. Due to the physiological/hormonal differences between males and females, differences in the absorption, distribution and metabolism of these ergogenic aids are likely, and further research into the sex-specific differences in terms of absorption, distribution and metabolism is warranted.

Gender identity, socialisation and culture can influence nutrition in athletes

Whereas sex refers to the biological attributes of males and females, gender refers to the socially constructed roles and behaviours associated with a feminine, masculine or non-binary identity(Reference Linsenmeyer and Waters43). Young girls’ activity and nutrition can be affected by gender norms and feminine ideals through complex negotiations(Reference Spencer, Rehman and Kirk44). Girls may be encouraged to eat less or avoid certain foods to maintain a certain body shape or size. Society’s concept of how people are expected to look and behave based on societally created norms for masculinity and femininity can influence gender roles in sports. For example, female athletes may traditionally be expected to participate in feminine sports (female boxing was only allowed into the London 2012 Olympics and the first Rugby World Cup for women in 1998), while male athletes may be encouraged to participate in more aggressive or competitive sports.

Although closely associated with male competitive sports, images of female athletes are increasingly employed in the marketing of sports nutrition products. These images can perpetuate unrealistic body ideals and affect female athletes’ relationships with food. Although historically considered as something that might impact more females, this is now increasingly impacting male athletes(Reference Chatzopoulou, Filieri and Dogruyol45).

Sociocultural factors such as identity, gender, religion and cultural prohibitions can influence food choices and eating behaviours. Monderrosa et al. (Reference Monterrosa, Frongillo and Drewnowski46) examined the relationship between food choices and eating behaviours. The article reviewed recent literature on the topic and considered the impact of social and environmental factors on food choices and eating behaviours. For example, certain cultures may have dietary restrictions or preferences that affect the types of foods that athletes consume. Some cultures have only recently allowed females to participate in sports. Ramadan can have a significant impact on the nutritional status of both males and females. The authors conclude that a multidimensional approach is needed to understand and address the complex relationships between food choices and eating behaviours. The article provides valuable insights for policymakers, public health professionals and individuals looking to improve their food choices and eating behaviours.

Limited research exists on the effect of a sports dietitian (sd) on athletes’ dietary habits and nutrient periodisation (changes in dietary intake in response to a particular training block)(Reference Hull, Jagim and Oliver47). Male athletes reported consuming fast food or restaurant meals more frequently and had higher weekly (and more frequent) alcohol intake during the competitive season as compared to female athletes. Female athletes were more likely to prepare meals, eat breakfast daily, and have school-provided boxed meals compared to male athletes. However, female athletes had lower energy and micronutrient intakes compared to their male counterparts. It is possible that access to a sports dietitian could help athletes develop a healthier relationship with food and improve their performance in both males and females but for different reasons.

Sex-specific differences in athletes are also seen in behaviours that can impact nutritional status(Reference Wohlgemuth, Arieta and Brewer26). Men are more susceptible to risky behaviours including performance-enhancing drugs(Reference Yusko, Buckman and White48) but female athletes are known to be more health conscious(Reference Regitz-Zagrosek49).

The impact of gender identity on nutrient metabolism, hydration status and athletic performance and links were examined(Reference Tucker, Applegate and Mullins50). The authors investigated if there were differences in nutrient metabolism, hydration status and athletic performance between male and female athletes with gender identity congruent with their assigned sex at birth. The study found no significant differences between male and female athletes in these areas, suggesting that gender identity may not have a significant impact on these physiological outcomes.

Athletes, regardless of gender identity, may be at risk of developing eating disorders due to the pressures they face in their sport(Reference Bratland-Sanda and Sundgot-Borgen51). Disordered eating and body image concerns are increasingly common among athletes, possibly representing the underpinning of eating disorders (EDs) which may start in adolescence(Reference D’Anna, Lucherini Angeletti and Benvenuti52). Research on eating disorders in male athletes v. female athletes is still limited.

For those athletes from the transgender population nutritional considerations can be both clinical and psychosocial. Changes in body composition, weight, altered bone and lipid profiles, and rates of disordered eating are factors that need to be considered(Reference Linsenmeyer, Rahman and Stewart53).

Current gaps in the findings and future directions

While there is a plethora of information available regarding the impact of nutrition on exercise performance, most of this is based on research derived from male subjects. Even minor differences between males and females in physical, psychological and physiological characteristics could have considerable impacts on their nutritional needs(Reference Wirnitzer, Motevalli and Tanous54). Despite the growing body of research on gender differences in sports nutrition, there are still gaps and limitations in the current understanding of this field.

Call to Action: current gaps and future directions

  1. 1. Lack of diversity: Many studies on sports nutrition have focused primarily on male athletes, with few women included in the samples. It is improving but it is slow. This has led to a significant gap in our understanding of the unique nutritional needs of female athletes.

  2. 2. Small sample sizes: Even when women are included in sports nutrition research, sample sizes are often small, which can limit the generalisability of the findings.

  3. 3. Limited focus on MC: While there is some research on the impact of MC on sports performance and nutrition, more studies are needed to fully understand how hormonal fluctuations affect nutrient requirements and response to exercise. This can place burdens on athletes and recruitment of athletes, especially at the elite level, could take time. Further work is also required on the impacts of peri and post menopause impacts nutritional requirements as athletes are competing at the master level.

  4. 4. Lack of standardised protocols: Studies on sports nutrition often use different protocols for measuring nutrient requirements and response to exercise, which can make it difficult to compare results across studies. A standardised audit tool has been proposed that will help to establish comparisons over time as it will facilitate data collection in a systematic way(Reference Smith, McKay and Ackerman6).

  5. 5. Lack of long-term studies: Many sports nutrition studies are short term, which can limit our understanding of how nutrient intake and exercise impact long-term health and performance. More long-term studies are needed to understand how nutrient intake and exercise impact long-term health and performance. Specifically, studies are needed to understand the role of sports nutrition in the prevention of chronic diseases, such as osteoporosis and CVD(Reference Burke, Slater and Broad55).

  6. 6. Limited focus on non-binary individuals: There is a lack of research on sports nutrition for non-binary individuals, who may have unique nutrient requirements and responses to exercise. Specifically, studies are needed to understand the impact of gender identity on all aspects of sports nutrition and its application.

  7. 7. Mental health and sports nutrition: More research is needed on the impact of sports nutrition on mental health in male and female athletes. Specifically, studies are needed to understand the role of nutrient intake on mood, anxiety and depression in athletes(Reference Roeh, Kirwan and Hinton56). Body image has a significant impact on how athletes consider food, and often food restriction is the first option taken when changes to body composition.

Addressing some of these gaps in sports nutrition research will require a multifaceted approach that involves increasing diversity, increasing women as participants, controlling for MC and hormone differences and studying the functional impacts of nutrition on athletes in different situations and circumstances such as concussion, the impact of heat and altitude. By focusing on these key areas of research, we can develop a more comprehensive understanding of differences in sports nutrition and optimise nutrition plans for all athletes, irrespective of the impact of sex or gender.

Acknowledgements

The author acknowledges the Irish section of the Nutrition Society for inviting the present review paper as part of the Irish Section Conference 2023.

Financial support

None.

Competing interests

None.

References

IOC (2023) Gender Equality in Sport. Available at https://olympics.com/ioc/gender-equality (accessed September 2023).Google Scholar
Dunford, M (2010) Fundamentals of Sport and Exercise Nutrition. Champaign, Illinois: Human Kinetics.CrossRefGoogle Scholar
Jonvik, KL, King, M, Rollo, I et al. (2022) New opportunities to advance the field of sports nutrition. Frontiers in Sports and Active Living 4, 852230.CrossRefGoogle ScholarPubMed
Burke, LM (2004) IOC consensus statement on sports nutrition 2003. J Sports Sci 13, 549552 Google Scholar
Devries, MC and Jakobi, JM (2021) Importance of considering sex and gender in exercise and nutrition research. Applied Physiology, Nutrition and Metabolism 46, 37.CrossRefGoogle ScholarPubMed
Smith, ES, McKay, AKA, Ackerman, KE et al. (2022) Methodology review: a protocol to audit the representation of female athletes in sports science and sports medicine research. Int J Sport Nutr Exerc Metab 32, 114127.CrossRefGoogle ScholarPubMed
Campbell, SE and Febbraio, MA (2001) Effects of ovarian hormones on exercise metabolism. Curr Opin Clin Nutr Metab Care 4, 515520.CrossRefGoogle ScholarPubMed
Helm, MM, McGinnis, GR and Basu, A (2021) Impact of nutrition-based interventions on athletic performance during menstrual cycle phases: a review. International Journal of Environmental Research and Public Health 18, 6294.CrossRefGoogle ScholarPubMed
Wohlgemuth, KJ, Arieta, LR, Brewer, GJ et al. (2021) Sex differences and considerations for female specific nutritional strategies: a narrative review. Journal of the International Society of Sports Nutrition 18, 27.CrossRefGoogle ScholarPubMed
Jagim, AR, Jones, MT, Askow, AT et al. (2023) Sex differences in resting metabolic rate among athletes and association with body composition parameters: a follow-up investigation. Journal of Functional Morphology and Kinesiology 8, 109.CrossRefGoogle ScholarPubMed
Heydenreich, J, Kayser, B, Schutz, Y and Melzer, K (2017) Total energy expenditure, energy intake, and body composition in endurance athletes across the training season: a systematic review. Sports Medicine - Open 3, 8.CrossRefGoogle ScholarPubMed
Weyer, C, Walford, RL, Harper, IT, Milner, M, MacCallum, T, Tataranni, PA and Ravussin, E (2000) Energy metabolism after 2 y of energy restriction: the biosphere 2 experiment. The American Journal of Clinical Nutrition 72, 946953.CrossRefGoogle ScholarPubMed
Loucks, AB, Kiens, B and Wright, HH (2011) Energy availability in athletes. J Sports Sci 29, S715.CrossRefGoogle ScholarPubMed
De Souza, MJ, Nattiv, A, Joy, E et al. (2014) Female athlete triad coalition consensus statement on treatment and return to play of the female athlete triad: 1st International Conference held in San Francisco, California, May 2012 and 2nd International Conference held in Indianapolis, Indiana, May 2013. British Journal of Sports Medicine 48, 289.CrossRefGoogle Scholar
Hunter, SK, Angadi, S, Bhargava, A et al. (2023) The biological basis of sex differences in athletic performance: consensus statement for the American college of sports medicine. Med Sci Sports Exerc 55, 23282360.CrossRefGoogle ScholarPubMed
Kuikman, MA, Smith, ES, McKay, AKA et al. (2023) Fueling the female athlete: auditing her representation in studies of acute carbohydrate intake for exercise. Med Sci Sports Exerc 55, 569580.CrossRefGoogle ScholarPubMed
Beaudry, KM and Devries, MC (2019) Sex-based differences in hepatic and skeletal muscle triglyceride storage and metabolism. Applied Physiology, Nutrition and Metabolism 44, 805813.CrossRefGoogle ScholarPubMed
Oosthuyse, T and Bosch, AN (2010) The effect of the menstrual cycle on exercise metabolism: implications for exercise performance in eumenorrhoeic women. Sports Med 40, 207227.CrossRefGoogle ScholarPubMed
Campbell, SE, Angus, DJ and Febbraio, MA (2001) Glucose kinetics and exercise performance during phases of the menstrual cycle: effect of glucose ingestion. American Journal of Physiology - Endocrinology and Metabolism 281, E81725.CrossRefGoogle ScholarPubMed
Rehrer, NJ, McLay-Cooke, RT and Sims, ST (2017) Nutritional strategies and sex hormone interactions in women. In Hackney, A (eds), Sex Hormones, Exercise and Women. Cham: Springer.Google Scholar
Suh, SH, Casazza, GA, Horning, MA et al. (2003) Effects of oral contraceptives on glucose flux and substrate oxidation rates during rest and exercise. Journal of Applied Physiology 94, 285294.CrossRefGoogle ScholarPubMed
Sims, ST, Kerksick, CM, Smith-Ryan, AE et al. (2023) International society of sports nutrition position stand: nutritional concerns of the female athlete. Journal of the International Society of Sports Nutrition 20, 2204066.CrossRefGoogle ScholarPubMed
Manore, MM (2002) Dietary recommendations and athletic menstrual dysfunction. Sports Med 32, 887901.CrossRefGoogle ScholarPubMed
Boisseau, N and Isacco, L (2022) Substrate metabolism during exercise: sexual dimorphism and women’s specificities. Eur J Sport Sci 22, 672683.CrossRefGoogle ScholarPubMed
Isacco, L, Duché, P and Boisseau, N (2012) Influence of hormonal status on substrate utilization at rest and during exercise in the female population. Sports Med 42, 327342.CrossRefGoogle ScholarPubMed
Wohlgemuth, KJ, Arieta, LR, Brewer, GJ et al. (2021) Sex differences and considerations for female specific nutritional strategies: a narrative review. Journal of the International Society of Sports Nutrition 18, 27.CrossRefGoogle ScholarPubMed
Papanos, LA and Faries, MD (2016) Differential relationships of fear of fat and drive for thinness with body dissatisfaction, dietary intake, and supplement behaviours in athletes. International Journal of Exercise Science: Conference Proceedings 2, 67.Google Scholar
Jäger, R, Kerksick, CM, Campbell, BI et al. (2017) International society of sports nutrition position stand: protein and exercise. Journal of the International Society of Sports Nutrition 14, 20.CrossRefGoogle ScholarPubMed
Thomas, DT, Erdman, KA and Burke, LM (2016) American college of sports medicine joint position statement. Nutrition and athletic performance. Med Sci Sports Exerc 48, 543568.Google ScholarPubMed
Wooding, DJ, Packer, JE, Kato, H et al. (2017) Increased protein requirements in female athletes after variable-intensity exercise. Med Sci Sports Exerc 49, 22972304.CrossRefGoogle ScholarPubMed
Ansdell, P, Thomas, K, Hicks, KM et al. (2020) Physiological sex differences affect the integrative response to exercise: acute and chronic implications. Exp Physiol 105, 20072021.CrossRefGoogle ScholarPubMed
Lamont, LS, Lemon, PW and Bruot, BC (1987) Menstrual cycle and exercise effects on 562 protein catabolism. Med Sci Sports Exerc 19, 106110.CrossRefGoogle Scholar
Phillips, SM, Atkinson, SA, Tarnopolsky, MA et al. (1993) Gender differences in leucine kinetics and nitrogen balance in endurance athletes. Journal of Applied Physics 75, 21342141.Google ScholarPubMed
Moore, DR, Sygo, J and Morton, JP (2021) Fuelling the female athlete: carbohydrate and protein recommendations. Eur J Sport Sc 22, 684696.CrossRefGoogle ScholarPubMed
Sawka, MN, Burke, LM, Eichner, ER et al. (2007) American college of sports medicine position stand. Exercise and fluid replacement. Med Sci Sports Exerc 39, 377390.Google ScholarPubMed
Giersch, GEW, Charkoudian, N, Stearns, RL et al. (2020) Fluid balance and hydration considerations for women: review and future directions. Sports Medicine 50, 19.CrossRefGoogle ScholarPubMed
Rodriguez-Giustiniani, P, Rodriguez-Sanchez, N and Galloway, SDR (2022) Fluid and electrolyte balance considerations for female athletes. Eur J Sport Sci 22, 697708.CrossRefGoogle ScholarPubMed
Smith, ES, McKay, AKA, Ackerman, KA et al. (2022b) Managing female athlete health: auditing the representation of female versus male participants among research in supplements to manage diagnosed micronutrient. Nutrients 14, 3372.CrossRefGoogle ScholarPubMed
Ryan, BJ, Charkoudian, N and McClung, JP (2022) Consider iron status when making sex comparisons in human physiology. Journal of Applied Physiology 132, 699702.CrossRefGoogle ScholarPubMed
Mota, GR and Marocolo, M (2022) Editorial: ergogenic aids: physiological and performance responses. Frontiers in Sports and Active Living 4, 902024.CrossRefGoogle ScholarPubMed
Garthe, I and Maughan, RJ (2018) Athletes and supplements: prevalence and perspectives. Int J Sport Nutr Exerc Metab 28, 126138.CrossRefGoogle Scholar
López-Torres, O, Rodríguez-Longobardo, C, Capel-Escoriza, R and Fernández-Elías, VE (2022) Ergogenic aids to improve physical performance in female athletes: a systematic review with meta-analysis. Nutrients 15, 81.CrossRefGoogle ScholarPubMed
Linsenmeyer, W and Waters, J (2021) Sex and gender differences in nutrition research: considerations with the transgender and gender nonconforming population. Nutrition Journal 20, 6.CrossRefGoogle ScholarPubMed
Spencer, RA, Rehman, L and Kirk, SF (2015) Understanding gender norms, nutrition, and physical activity in adolescent girls: a scoping review. The International Journal of Behavioral Nutrition and Physical Activity 12, 6.CrossRefGoogle ScholarPubMed
Chatzopoulou, E, Filieri, R and Dogruyol, SA (2020) Instagram and body image: motivation to conform to the “instabod” and consequences on young male wellbeing. J Consum Aff 54, 12701297.CrossRefGoogle Scholar
Monterrosa, EC, Frongillo, EA, Drewnowski, A et al. (2020) Sociocultural influences on food choices and implications for sustainable healthy diets. Food and Nutrition Bulletin 41, 59S73S.CrossRefGoogle ScholarPubMed
Hull, MV, Jagim, AR, Oliver, JM et al. (2016) Gender differences and access to a sports dietitian influence the dietary habits of collegiate athletes. Journal of the International Society of Sports Nutrition 13, 38.CrossRefGoogle ScholarPubMed
Yusko, DA, Buckman, JF, White, HR et al. (2008) Alcohol, tobacco, illicit drugs, and performance enhancers: a comparison of use by college student-athletes and non-athletes. J. Am. Coll Health 57, 281290.CrossRefGoogle Scholar
Regitz-Zagrosek, V (2013) Sex and gender differences in health. Science & society series on sex and science. EMBO Reports 13, 596603.CrossRefGoogle Scholar
Tucker, MA, Applegate, EA, Mullins, VA et al. (2021) The impact of gender identity on nutrient metabolism, hydration status, and athletic performance. Sports Med 51, 765781.Google Scholar
Bratland-Sanda, S and Sundgot-Borgen, J (2013) Eating disorders in athletes: overview of prevalence, risk factors and recommendations for prevention and treatment. EJSS 13, 499508.Google ScholarPubMed
D’Anna, G, Lucherini Angeletti, L, Benvenuti, F et al. (2023) The association between sport type and eating/body image concerns in high school students: a cross-sectional observational study. Eat Weight Disord 28, 43.CrossRefGoogle ScholarPubMed
Linsenmeyer, W, Rahman, R and Stewart, DB (2022) The evolution of a transgender male’s relationship with food and exercise: a narrative inquiry, Journal of Creativity in Mental Health 17, 214.CrossRefGoogle Scholar
Wirnitzer, K, Motevalli, M, Tanous, DR et al. (2021) Sex differences in supplement intake in recreational endurance runners—results from the NURMI study (step 2). Nutrients 13, 2776.CrossRefGoogle ScholarPubMed
Burke, LM, Slater, G, Broad, E et al. (2019) Sustainable nutrition for women’s health and performance. Int J Sport Nutr Exerc Metab 29, 189199.Google Scholar
Roeh, A, Kirwan, M and Hinton, P (2020) The role of nutrition in mental health of athletes: a systematic review. Nutrients 12, 1605.Google Scholar