Dietary Supplement Intake and Factors Associated with Increased Use in Preadolescent Endurance Runners.

BACKGROUND: The prevalence of dietary supplement intake among preadolescent endurance runners is currently unknown. OBJECTIVE: Our aim was to describe use of dietary supplements, higher-risk supplements, and sport foods among preadolescent endurance athletes and identify associated characteristics of dietary supplement users in this population. DESIGN: This was a retrospective, cross-sectional study. PARTICIPANTS/SETTING: Participants were 2,113 preadolescent endurance runners (male: n = 1,255, female: n = 858; mean age ± standard deviation = 13.2 ± 0.9 years). MAIN OUTCOME MEASURES: Use of dietary supplements, higher-risk dietary supplements, and sport foods on 2 or more days per week during the past year. STATISTICAL ANALYSES PERFORMED: Mann-Whitney U tests, χ2 tests, univariate and multivariate analyses. RESULTS: Twenty-six percent (n = 551) of preadolescent runners used dietary supplements on 2 or more days per week during the past year; 1.3% (n = 27) reported taking higher-risk supplements. Compared with male runners, female runners reported higher use of 1 or more supplements (32.5% vs 21.7%; P < .001) and 4 or more supplements (4.0% vs 1.9%; P = 0.005), multivitamin/minerals (24.2% vs 14.4%; P < .001), vitamin D (12.4% vs 5.6%; P < .001), calcium (8.9% vs 4.8%; P < .001), iron (3.1 vs 1.1%; P < .001), probiotic supplements (8.2% vs 1.3%; P < .001), and diet pills (0.5% vs 0.0%; P = .02). Male runners reported higher use of creatine (1.3% vs 0.0%; P < .001) and sport foods, including protein bars and drinks (19.5% vs 8.4%; P < .001), energy bars (23.5% vs 9.7%; P < .001), and carbohydrate-electrolyte drinks (27.9% vs 13.3%; P < .001) than female runners. Factors independently associated with a higher likelihood for dietary supplement use included weight loss in the past year, female (vs male) gender, following a vegetarian diet, skipping meals, attempting to gain weight, and history of a running-related bone stress injury. CONCLUSIONS: More than one-quarter of preadolescent runners regularly consumed dietary supplements. Behaviors consistent with dietary restriction and history of bone stress injury were associated with higher likelihood for supplement use. Further work to understand supplement use patterns and potential value for nutrition education is advised to optimize health of preadolescent runners.

Self-reported methods of weight cutting in professional mixed-martial artists: how much are they losing and who is advising them?

BACKGROUND: Similar to other combat sports, mixed martial arts (MMA) includes divisional weight classes. The purpose of our research was to further investigate the amount of weight professional MMA fighters lost prior to weighing in for competition, their methods used to cut weight, and their sources of advice on how to cut weight. METHODS: This survey was administered to 92 male professional MMA athletes. The survey questions included duration of overall weight loss prior to competition, methods of weight-cutting, and their sources of advice regarding weight cutting. RESULTS: When comparing the number of methods of weight cutting with the source of advice, those who received their advice from social media used slightly more methods of weight cutting (M = 4.86, SD = 1.27) than those who did not (M = 4.02, SD = 1.55); t(90) = - 2.53, p < .05. MMA athletes that used the help of a registered dietitian nutritionist also reported using the least amount of methods for weight-cutting than any other category (M = 3.84, SD = 1.67). Those that used teammates and did not use a registered dietitian nutritionist used slightly more methods (M = 4.46, SD = 1.41) than those who used a registered dietitian nutritionist. CONCLUSIONS: The findings of this study report that professional MMA athletes do undergo rapid weight loss through various methods to make weight for competition. This study adds evidence to the literature that most professional MMA athletes undergo RWL for competition without the guidance of a registered dietitian nutritionist. It is unclear what the effect of using a registered dietitian nutritionist may have on an MMA athletes' ability to reduce weight in a safe and effective manner. Future research should seek to investigate if employing a registered dietitian nutritionist may lead to a higher rate of success for MMA athletes to make weight, and help reduce adverse risks of RWL.

Prevalence and Predictors of Higher-Risk Supplement Use Among Collegiate Athletes.

Sassone, J, Muster, M, and Barrack, MT. Prevalence and predictors of higher-risk supplement use among National Collegiate Athletic Association Division I athletes. J Strength Cond Res 33(2): 443-450, 2019-This study aimed to identify the prevalence and predictors associated with the use of higher-risk dietary supplements, defined as supplements containing herbal ingredients, caffeine, or those classified for weight loss, muscle-building, or as a preworkout supplement, among 557 National Collegiate Athletic Association Division I male and female collegiate athletes. Although 252 (45.2%) athletes reported the use of a dietary supplement on ≥2 days per week over the past year, 46 (8.3%) athletes met criteria for higher-risk supplement use. Twenty (3.6%) athletes reported the use of herbal, 1 (0.2%) caffeinated, 5 (0.9%) weight loss, 28 (5.0%) preworkout, and 1 (0.2%) muscle-building supplements. Body mass index status (BMI ≥30 kg·m), sport-type (sports using the phosphocreatine energy system), and college year (≥4th year) were associated with the use of preworkout, muscle-building, or herbal supplements. A multiple regression analysis identified predictors of higher-risk supplement use including the number of dietary supplements used in the past year (odds ratio [OR] = 2.1, 95% confidence interval [CI] = 1.7-2.7, p < 0.001), the reported motivation of taking dietary supplements to gain muscle and lose body fat (OR = 3.5, 95% CI = 1.1-11.7, p = 0.04), and the motivation to increase athletic endurance (OR = 3.5, 95% CI = 4.0, 95% CI = 1.6-9.9, p < 0.005). These factors may be considered as a part of a screening process to evaluate athletes with an increased risk of higher-risk supplement use and potential consequences to health or eligibility status.