Michelle Barrack

Dr. Michelle Barrack

orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
9 August 2023 in Nutrients
Verified
Journal Article
Open access
PDF file
MKMatthew Kaufman
Matthew Kaufman
CNChantal Nguyen
Chantal Nguyen
MSMaya Shetty
Maya Shetty
MOMarily Oppezzo
Marily Oppezzo
MBMichelle Barrack
Michelle Barrack
MCMichael Fredericson MD, Stanford Medicine Outpatient Center
Michael Fredericson MD, Stanford Medicine Outpatient Center
Background: Nutrition fuels optimal performance for athletes. With increased research developments, numerous diets available, and publicity from professional athletes, a review of dietary patterns impact on athletic performance is warranted. Results: The Mediterranean diet is a low inflammatory diet linked to improved power and muscle endurance and body composition. Ketogenic diets are restrictive of carbohydrates and proteins. Though both show no decrements in weight loss, ketogenic diets, which is a more restrictive form of low-carbohydrate diets, can be more difficult to follow. High-protein and protein-paced versions of low-carbohydrate diets have also shown to benefit athletic performance. Plant-based diets have many variations. Vegans are at risk of micronutrient deficiencies and decreased leucine content, and therefore, decreased muscle protein synthesis. However, the literature has not shown decreases in performance compared to omnivores. Intermittent fasting has many different versions, which may not suit those with comorbidities or specific needs as well as lead to decreases in sprint speed and worsening time to exhaustion. Conclusions: This paper critically evaluates the research on diets in relation to athletic performance and details some of the potential risks that should be monitored. No one diet is universally recommend for athletes; however, this article provides the information for athletes to analyze, in conjunction with medical professional counsel, their own diet and consider sustainable changes that can help achieve performance and body habitus goals.

11 September 2018 in Journal of the American College of Nutrition
Verified
Journal Article
Closed access
MBMichelle Barrack
Michelle Barrack
JWJazmine West
Jazmine West
MCMichele Christopher
Michele Christopher
APAnn-Marie Pham-Vera
Ann-Marie Pham-Vera
Objective: A cross-sectional study of first-year college students was conducted to identify the prevalence and predictors of disordered eating (DE). Methods: College freshmen students, aged 18 years, (n = 106) completed the Eating Disorder Examination Questionnaire (EDE-Q) and a supplemental survey. A subset of the sample (n = 77) underwent measurements of height, weight, and body composition. DE was defined as an elevated (3) weight, shape, eating concern, or dietary restraint EDE-Q subscale score. Results: The sample, consisting of 56.6%, 15.1%, 11.3%, and 11.3% Latino/a, Asian, African American, and Caucasian students, respectively (37% male), reported a 31.1% prevalence of DE. The current desire to lose weight was the strongest predictor of DE (odds ratio = 15.3; 95% confidence interval = 2.8, 82.5). Other variables linked to DE or elevated EDE-Q subscale scores included body mass index (BMI) 25.0 kg/m2, vegetarianism, weight loss in the past year, female gender, and eating breakfast < 5 d/wk. Participants with BMI 25.0 kg/m2 and the current desire to lose weight (n = 23) or following a vegetarian diet (n = 5) exhibited the highest prevalence of DE (78.3% and 80.0%, respectively). A higher proportion of Latinas reported binge episodes compared to female Caucasian, Asian, and African American students (36.4% vs. 0.0%, 6.7%, and 28.6%, respectively, p = 0.056, χ2 = 7.6). Males, versus females, were more likely to report excessive exercise (56.4% vs. 37.3%, p = 0.056, χ2 = 3.6). Conclusions: This study adds to the current body of literature on DE by providing a diverse sample and potentially novel predictors and risk factors for DE.

31 December 2025 in Sports Medicine
Verified
Journal Article
Open access
PDF file
Nancy WilliamsNancy Williams
Nancy Williams
MSMary Jane Jane De Souza
Mary Jane Jane De Souza
MMMadhusmita Misra
Madhusmita Misra
ANAurelia Nattiv
Aurelia Nattiv
EJElizabeth Joy
Elizabeth Joy
FPFranziska Plessow
Franziska Plessow
This is the second of two publications comprising the 2025 update to the 2014 Consensus Statement on treatment and return to play guidelines on the Female Athlete Triad (Triad). This paper pairs with the 2025 Update to the Female Athlete Triad Coalition Consensus Statement Part 1: State of the Science and Introduction of a New Adolescent Model (Sports Medicine, 2025), to focus on evidence-based revisions for screening, diagnosis, treatment, and clearance and return to play. Revised recommendations for managing eating disorders (ED)/disordered eating (DE) and non-pharmacological and pharmacological treatment of bone loss and abnormal menstrual cycles are included, as are the most recent clearance and return to play recommendations, inclusive of adolescent athletes. Recent research supports the adoption of revised criteria for defining and treating energy deficiency, moving away from the concept of an energy-availability threshold. Energy deficiency-induced menstrual disturbances can be reversed with a moderate increase in food intake and modest weight gain, but restoration of menses alone is not associated with high rates of ovulation or increased ovarian steroid levels until multiple consecutive normal length menstrual cycles are achieved. Revised guidelines for the diagnosis and treatment of functional hypothalamic oligo/amenorrhea are included with guidance on the confounding effects of hyperandrogenemia. Gynecological age and psychological stress are factors impacting the individual susceptibility to the Triad. The bone health spectrum of the Triad now includes bone stress injuries. Routes of administration via epidermal patch versus oral for pharmacological treatment of low bone density are discussed. The diagnosis, treatment, and return to play approaches for adolescents with the Triad are unique compared with those employed for adults and require age-appropriate clinical guidelines. The strength of the evidence-based statements is graded using an accepted taxonomy in which randomized controlled trials and observational data are considered the highest level of evidence.

31 December 2025 in Sports Medicine
Verified
Journal Article
Open access
PDF file
MSMary Jane Jane De Souza
Mary Jane Jane De Souza
Nancy WilliamsNancy Williams
Nancy Williams
MMMadhusmita Misra
Madhusmita Misra
ANAurelia Nattiv
Aurelia Nattiv
EJElizabeth Joy
Elizabeth Joy
FPFranziska Plessow
Franziska Plessow
This paper is the first of two publications comprising a 2025 update to the 2014 Consensus Statement on treatment and return-to-play guidelines on the Female Athlete Triad (Triad), defined as three inter-related components including energy status, reproductive function, and bone health. The Triad is initiated by exposure to varying degrees of energy deficiency with or without disordered eating/eating disorders with primary pathological outcomes to the reproductive and skeletal systems. This first paper includes a detailed update on the scientific underpinnings of the Triad and introduces a new Triad model specific to the adolescent female athlete. Energy deficiency and “metabolic compensation” are added to the energy status continuum to describe adaptations that reflect energy conservation. Ovarian steroid hormone exposure and functional hypothalamic oligo-amenorrhea are added to the reproductive function continuum. Bone stress injury is added to the bone health continuum. Rates of change are depicted for the induction and recovery of clinical outcomes within the adult model. Evidence-based statements are presented throughout the paper and supported by a high number of level A and B grades.

ALAlex Leaf
Alex Leaf
JRJeffrey Rothschild
Jeffrey Rothschild
TSTim M. Sharpe
Tim M. Sharpe
SSStacy Sims
Stacy Sims
CMChad J. Macias
Chad J. Macias
JAJose Antonio
Jose Antonio
The International Society of Sports Nutrition (ISSN) provides an objective and critical review of the use of a ketogenic diet in healthy exercising adults, with a focus on exercise performance and body composition. However, this review does not address the use of exogenous ketone supplements. The following points summarize the position of the ISSN: 1. A ketogenic diet induces a state of nutritional ketosis, which is generally defined as serum ketone levels above 0.5 mM. While many factors can impact what amount of daily carbohydrate intake will result in these levels, a broad guideline is a daily dietary carbohydrate intake of less than 50 grams per day. 2. Nutritional ketosis achieved through carbohydrate restriction and a high dietary fat intake is not intrinsically harmful and should not be confused with ketoacidosis, a life-threatening condition most commonly seen in clinical populations and metabolic dysregulation. 3. A ketogenic diet has largely neutral or detrimental effects on athletic performance compared to a diet higher in carbohydrates and lower in fat, despite achieving significantly elevated levels of fat oxidation during exercise (~1.5 g/min). 4. The endurance effects of a ketogenic diet may be influenced by both training status and duration of the dietary intervention, but further research is necessary to elucidate these possibilities. All studies involving elite athletes showed a performance decrement from a ketogenic diet, all lasting six weeks or less. Of the two studies lasting more than six weeks, only one reported a statistically significant benefit of a ketogenic diet. 5. A ketogenic diet tends to have similar effects on maximal strength or strength gains from a resistance training program compared to a diet higher in carbohydrates. However, a minority of studies show superior effects of non-ketogenic comparators. 6. When compared to a diet higher in carbohydrates and lower in fat, a ketogenic diet may cause greater losses in body weight, fat mass, and fat-free mass, but may also heighten losses of lean tissue. However, this is likely due to differences in calorie and protein intake, as well as shifts in fluid balance. 7. There is insufficient evidence to determine if a ketogenic diet affects males and females differently. However, there is a strong mechanistic basis for sex differences to exist in response to a ketogenic diet.

14 January 2020 in Journal of the American College of Nutrition
Verified
Journal Article
Closed access
MBMichelle Barrack
Michelle Barrack
MMMark Muster
Mark Muster
JNJennifer Nguyen
Jennifer Nguyen
ARAaron Rafferty
Aaron Rafferty
TLTerri Lisagor
Terri Lisagor
Background: Supplements may expose athletes to dangerous ingredients, banned substances, toxins or contaminants; however, few investigations assess use among collegiate athletes in the U.S. Objective: This cross-sectional study evaluated habitual dietary supplement intake, defined use ≥2 days/week over the past year, in NCAA Division I athletes. Methods: Male and female members of a NCAA Division I team, at two universities in southern California completed a 13-item survey. Among 705 eligible participants, 596 submitted surveys (84.5% response rate), 557 surveys included complete data. Chi-square (χ2) analyses evaluated differences among athletes based on sex, weight status, year in college, and sport-type. Independent t-test or ANOVA evaluated mean differences for continuous variables. Results: A total of 45.2% athletes (n = 252) reported taking supplements (≥2 days/week over the past year). Vitamin/minerals (25.5%, n = 142), protein/amino acids (24.6%, n = 137) were used most frequently. Male, vs female athletes, took more supplements overall (1.2 ± 0.1 vs 0.8 ± 0.1, p = 0.004) and indicated higher use of protein/amino acid products (34.2% vs 13.5%, p < 0.005), whereas, females reported higher use of vitamin/minerals (30.5% vs 21.1%, p < 0.05). Higher supplement use was also reported by athletes with BMI ≥ 30.0 kg/m2 (vs <30 kg/m2, 1.9 ± 0.3 vs 1.0 ± 0.1, p = 0.02), and athletes in ≥ third college year (vs first or second year, 1.2 ± 0.1 vs 0.9 ± 0.1, p = 0.03). Conclusions: Nearly half of NCAA athletes reported habitual supplements use, with significant variation in patterns based on sex, sport-type, year in college, and weight status.