Stacy Sims

Dr. Stacy Sims

The Sports Performance Research Institute New Zealand (SPRINZ), Auckland University of Technology (AUT), Auckland 1010, New Zealand; Faculty of Health, University of Waikato, Hamilton 3216, New Zealand
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Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

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

Representative Publications

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1 June 2013 in JACC
Verified
Journal Article
Closed access
ACAndrea K. Chomistek
Andrea K. Chomistek
JMJoAnn E. Manson
JoAnn E. Manson
MSMarcia L. Stefanick
Marcia L. Stefanick
BLBing Lu
Bing Lu
MSMegan Sands-Lincoln
Megan Sands-Lincoln
CECharles B. Eaton
Charles B. Eaton

15 August 2018 in Experimental Physiology
Verified
Journal Article
Closed access
PDF file
SSStacy Sims
Stacy Sims
AHAlison K. Heather
Alison K. Heather

1 September 2012 in Menopause
Verified
Journal Article
Closed access
CKCandyce H. Kroenke
Candyce H. Kroenke
BCBette J. DrPH Caan
Bette J. DrPH Caan
MSMarcia L. Stefanick
Marcia L. Stefanick
GAGarnet Anderson
Garnet Anderson
RBRobert Brzyski
Robert Brzyski
RWRobert Wallace
Robert Wallace
Objective The aim of this study was to determine whether a dietary intervention designed to reduce fat intake and increase intake of fruit, vegetables, and whole grains, and weight loss, reduces vasomotor symptoms (VMS; ie, hot flashes or night sweats) in postmenopausal women. Methods We included 17,473 postmenopausal US women, ages 50 to 79 years, at baseline who participated in the Women’s Health Initiative Dietary Modification trial and were not taking menopausal hormone therapy. Logistic regression was used to evaluate associations. Results In multivariate-adjusted analyses, with simultaneous adjustment for the intervention and weight change, assignment to the dietary intervention versus the control arm was significantly (odds ratio [OR], 1.14; 95% CI, 1.01-1.28) related to a higher likelihood of symptom elimination among women with VMS at baseline. In addition, women with symptoms at baseline who lost 10 lb or more (OR, 1.23; 95% CI, 1.05-1.46) or lost 10% or more of their baseline body weight (OR, 1.56; 95% CI, 1.21-2.02) between baseline and year 1 were significantly more likely to eliminate VMS compared with those who maintained weight. Upon examining the joint effect of the dietary modification and weight loss, compared with women in the control arm who maintained weight, women who lost substantial weight (≥10%) as a part of the intervention (OR, 1.89; 95% CI, 1.39-2.57) but not as part of the control arm (OR, 1.40; 95% CI, 0.92-2.13) were significantly more likely to end VMS, although these two groups did not differ significantly from each other. Large weight loss (>22 lb), but not dietary changes, was related to the elimination of moderate/severe VMS. Conclusions Weight loss as part of a healthy dietary modification may help eliminate VMS among postmenopausal women.

SSStacy Sims
Stacy Sims
CKChad Kerksick
Chad Kerksick
ASAbbie E Smith-Ryan
Abbie E Smith-Ryan
XJXanne A.K. Janse de Jonge
Xanne A.K. Janse de Jonge
KHKatie Hirsch
Katie Hirsch
JAJose Antonio
Jose Antonio
Based on a comprehensive review and critical analysis of the literature regarding the nutritional concerns of female athletes, conducted by experts in the field and selected members of the International Society of Sports Nutrition (ISSN), the following conclusions represent the official Position of the Society: 1. Female athletes have unique and unpredictable hormone profiles, which influence their physiology and nutritional needs across their lifespan. To understand how perturbations in these hormones affect the individual, we recommend that female athletes of reproductive age should track their hormonal status (natural, hormone driven) against training and recovery to determine their individual patterns and needs and peri and post-menopausal athletes should track against training and recovery metrics to determine the individuals' unique patterns. 2. The primary nutritional consideration for all athletes, and in particular, female athletes, should be achieving adequate energy intake to meet their energy requirements and to achieve an optimal energy availability (EA); with a focus on the timing of meals in relation to exercise to improve training adaptations, performance, and athlete health. 3. Significant sex differences and sex hormone influences on carbohydrate and lipid metabolism are apparent, therefore we recommend first ensuring athletes meet their carbohydrate needs across all phases of the menstrual cycle. Secondly, tailoring carbohydrate intake to hormonal status with an emphasis on greater carbohydrate intake and availability during the active pill weeks of oral contraceptive users and during the luteal phase of the menstrual cycle where there is a greater effect of sex hormone suppression on gluconogenesis output during exercise. 4. Based upon the limited research available, we recommend that pre-menopausal, eumenorrheic, and oral contraceptives using female athletes should aim to consume a source of high-quality protein as close to beginning and/or after completion of exercise as possible to reduce exercise-induced amino acid oxidative losses and initiate muscle protein remodeling and repair at a dose of 0.32-0.38 g·kg-1. For eumenorrheic women, ingestion during the luteal phase should aim for the upper end of the range due to the catabolic actions of progesterone and greater need for amino acids. 5. Close to the beginning and/or after completion of exercise, peri- and post-menopausal athletes should aim for a bolus of high EAA-containing (~10 g) intact protein sources or supplements to overcome anabolic resistance. 6. Daily protein intake should fall within the mid- to upper ranges of current sport nutrition guidelines (1.4-2.2 g·kg-1·day-1) for women at all stages of menstrual function (pre-, peri-, post-menopausal, and contraceptive users) with protein doses evenly distributed, every 3-4 h, across the day. Eumenorrheic athletes in the luteal phase and peri/post-menopausal athletes, regardless of sport, should aim for the upper end of the range. 7. Female sex hormones affect fluid dynamics and electrolyte handling. A greater predisposition to hyponatremia occurs in times of elevated progesterone, and in menopausal women, who are slower to excrete water. Additionally, females have less absolute and relative fluid available to lose via sweating than males, making the physiological consequences of fluid loss more severe, particularly in the luteal phase. 8. Evidence for sex-specific supplementation is lacking due to the paucity of female-specific research and any differential effects in females. Caffeine, iron, and creatine have the most evidence for use in females. Both iron and creatine are highly efficacious for female athletes. Creatine supplementation of 3 to 5 g per day is recommended for the mechanistic support of creatine supplementation with regard to muscle protein kinetics, growth factors, satellite cells, myogenic transcription factors, glycogen and calcium regulation, oxidative stress, and inflammation. Post-menopausal females benefit from bone health, mental health, and skeletal muscle size and function when consuming higher doses of creatine (0.3 g·kg-1·d-1). 9. To foster and promote high-quality research investigations involving female athletes, researchers are first encouraged to stop excluding females unless the primary endpoints are directly influenced by sex-specific mechanisms. In all investigative scenarios, researchers across the globe are encouraged to inquire and report upon more detailed information surrounding the athlete's hormonal status, including menstrual status (days since menses, length of period, duration of cycle, etc.) and/or hormonal contraceptive details and/or menopausal status.

9 July 2019 in Nutrients
Verified
Journal Article
Open access
PDF file
LBLuke Belval
Luke Belval
YHYuri Hosokawa
Yuri Hosokawa
Douglas CasaDouglas Casa
Douglas Casa
William M. AdamsWilliam M. Adams
William M. Adams
LALawrence E. Armstrong
Lawrence E. Armstrong
JWJonathan Wingo
Jonathan Wingo
Personalized hydration strategies play a key role in optimizing the performance and safety of athletes during sporting activities. Clinicians should be aware of the many physiological, behavioral, logistical and psychological issues that determine both the athlete’s fluid needs during sport and his/her opportunity to address them; these are often specific to the environment, the event and the individual athlete. In this paper we address the major considerations for assessing hydration status in athletes and practical solutions to overcome obstacles of a given sport. Based on these solutions, practitioners can better advise athletes to develop practices that optimize hydration for their sports.

1 January 2007 in Medicine & Science in Sports & Exercise
Verified
Journal Article
Closed access
SSStacy Sims
Stacy Sims
LVLinda van Vliet
Linda van Vliet
JCJames D. Cotter
James D. Cotter
NRNancy J. Rehrer
Nancy J. Rehrer
This study was conducted to determine whether preexercise ingestion of a highly concentrated sodium beverage would increase plasma volume (PV) and reduce the physiological strain of moderately trained males running in the heat. Eight endurance-trained (.VO2max: 58 mL.kg(-1).min(-1) (SD 5); 36 yr (SD 11)) runners completed this double-blind, crossover experiment. Runners ingested a high-sodium (High Na+: 164 mmol Na+.L(-1)) or low-sodium (Low Na+: 10 mmol Na+.L(-1)) beverage (10 mL.kg(-1)) before running to exhaustion at 70% .VO2max in warm conditions (32 degrees C, 50% RH, V(a) approximately equal to 1.5 m.s(-1)). Beverages (approximately 757 mL) were ingested in seven portions across 60 min beginning 105 min before exercise. Trials were separated by 1-3 wk. Heart rate and core and skin temperatures were measured throughout exercise. Urine and venous blood were sampled before and after drinking and exercise. High Na+ increased PV before exercise (4.5% (SD 3.7)), calculated from Hct and [Hb]), whereas Low Na+ did not (0.0% (SD 0.5); P = 0.04), and involved greater time to exercise termination in the six who stopped because of an ethical end point (core temperature 39.5 degrees C: 57.9 min (SD 6) vs 46.4 min (SD 4); P = 0.04) and those who were exhausted (96.1 min (SD 22) vs 75.3 min (SD 21); P = 0.03; High Na+ vs Low Na+, respectively). At equivalent times before exercise termination, High Na+ also resulted in lower core temperature (38.9 vs 39.3 degrees C; P = 0.00) and perceived exertion (P = 0.01) and a tendency for lower heart rate (164 vs 174 bpm; P = 0.08). Preexercise ingestion of a high-sodium beverage increased plasma volume before exercise and involved less thermoregulatory and perceived strain during exercise and increased exercise capacity in warm conditions.