Validity of combined hydration self-assessment measurements to estimate a low vs. high urine concentration in a small sample of (tactical) athletes.

PURPOSE: Relationships between body weight, urine color (Uc), and thirst level (WUT) have been proposed as a simple and inexpensive self-assessment method to predict dehydration. This study aimed to determine if this method also allowed us to accurately identify a low vs. high urine concentration in (tactical) athletes. METHODS: A total of n = 19 Army Reserve Officer Training Corps cadets and club sports athletes (22.7 ± 3.8 years old, of which 13 male) were included in the analysis, providing morning body weight, thirst sensation, and Uc for five consecutive days. Each item received a score 0 or 1, resulting in a WUT score ranging from 0 (likely hydrated) to 3 (very likely dehydrated). WUT model and individual item outcomes were then compared with a ≥ 1.020 urine specific gravity (USG) cut-off indicating a high urine concentration, using descriptive comparisons, generalized linear mixed models, and logistic regression (to calculate the area under the curve (AUC)). RESULTS: WUT score was not significantly predictive of urine concentration, z = 1.59, p = 0.11. The AUC ranged from 0.54 to 0.77 for test days, suggesting a fair AUC on most days. Only Uc was significantly related to urine concentration, z = 2.49, p = 0.01. The accuracy of the WUT model for correctly classifying urine samples with a high concentration was 68% vs. 51% of samples with a low concentration, resulting in an average accuracy of 61%. CONCLUSION: This study shows that WUT scores were not predictive of urine concentration, and the method did not substantially outperform the accuracy of Uc scoring alone.

Energy expenditure and physiological markers during a city mountain hike in the heat: A case study.

Background: Energy expenditure may be difficult to assess when hiking difficult trails. Case presentation: We measured physical activity exercise energy expenditure (PAEE) directly from oxygen uptake using a mobile device (cardiopulmonary exercise testing, CPET), and by using a formula based on heart rate (HR), or metabolic equivalent values from the Compendium of Physical Activity, and other physiological outcomes. Outcomes and implications: Total PAEE (1342 kcal) using CPET showed a two-fold difference between ascending and descending (887 vs. 455 kcal) during a 124-min hike. For HR, PAEE was 1893kcal (+551 kcal overreporting), while compendium-based scenarios ranged from 1179 to 1446 kcal, which was in closer range (-163 to +104 kcal/min) compared to the CPET data. Fluid consumption was 1300 mL/hour, with 1.1% bodyweight loss, peak skin temperature of 35.2°C and core body temperature of 39.2°C. Recommendations: Tables reasonably predict energy expenditure while not precisely reflecting the actual situation.

Short hydration education video and hiker fluid selection and consumption at trails, a non-randomized quasi-experimental field study.

Background: Education may improve hiker safety on trails. Aim: To investigate the impact of an educational video on hiker fluid selection and fluid consumption in a hot environment. Methods: Quasi-experimental field study at hiking trails in which the intervention group (INT) viewed a three-minute hydration education video, whereas the control group (CON) did not. Before the hike, all hikers were asked if they wanted to select extra fluid, which was provided by the research team. Results: A total of n = 97 hikers participated in the study, with n = 56 in INT (32 male) and n = 41 in CON (25 male). Despite absolute differences in environmental conditions, the differences fell within the same WBGT category. The total amount of fluid brought to the trails by participants was different between INT: 904 (503-1758) mL and CON: 1509 (880-2176) mL (P = 0.006), but participants in the INT group selected extra fluid (41%; n = 23) significantly more often when compared with participants in the CON group (7%; n = 3; P < 0.001). As a result, there was no difference in the amount of fluid brought on the trail between INT: 1047 (611-1936) mL and CON: 1509 (932-2176) mL (P = 0.069), nor for fluid consumption between INT: 433 (289-615) mL/h and CON: 489 (374-719) mL/h (P = 0.18). Conclusions and Implications: A 3-min educational video may encourage hikers to select additional fluid before the start of their hike but does not appear to increase fluid intake.

Effect of increased water intake on uropathogenic bacterial activity of underhydrated menstruating young adult women: A randomized crossover trial.

Background: Females are prone to urinary tract infections (UTIs) due to estrogen fluctuations affecting vaginal flora. While menstruating, increased fluid consumption to support urination frequency and void volume may be important, as the urethra and urinary tract are more predisposed to bacteria, particularly UTI pathogens. Aim: This study aimed to investigate the impact of hydration on urinary tract health during menstruation among underhydrated premenopausal women. Methods: Thirteen females participated in a 60-day 2 × 2 randomized crossover trial to evaluate the effectiveness of consuming ≥2.2 L of total beverage fluid intake, with 1.9 L being water, (intervention, INT) and maintaining habitual fluid intake (control, CON) on two subsequent menses. Participants completed fluid and urination diaries at days 2 and 5 after the onset of bleeding (day 1) to determine the fluid amount consumed and urination frequency. Urine concentration was assessed in afternoon (days 2 and 5) and uropathogenic bacterial activity in first-morning (days 3 and 6) urinations. General linear models assessed differences in bacterial and hydration outcomes. Results: The intervention led to a 62% mean total fluid increase, INT 3.0 ± 1.1 L and CON 1.9 ± 0.9 L, p < 0.001, η2 = 0.459. Urination frequency was greater and urine concentration less in the INT to CON, all ps < 0.05, η2 range = 0.023-0.019. Only four cultures detected uropathogenic bacteria, with no patterns between conditions or days, making it difficult to determine the intervention's effectiveness. Conclusion: Fluid intake increased, and hydration status improved. No differences in uropathogenic bacterial activity were seen between the hydration and control conditions.

The effects of three different types of macronutrient feedings on golf performance and levels of fatigue and alertness.

Background: No study has evaluated the effect of macronutrient feedings on golf performance. Aim: Determine the effect of feedings during simulated golf game using a randomized cross-over study design. Methods: Male participants (n = 6, USGA handicap index 8.5 ± 6.72) played three standardized nine-hole rounds, consuming 30 g of carbohydrate, 15 g + 15 g protein and carbohydrate, or a zero-calorie control. Measurements of driving, chipping, and putting distance and accuracy were taken, as well as perceived levels of fatigue and alertness. Results: No relevant differences (P > 0.05) were seen in golf performance or alertness, but self-reported fatigue differed between conditions (P = 0.02), with scores of 2.5 (0.8 to 3.6) for the combination of carbohydrate and protein, 3.0 (1.5 to 4.3) for carbohydrate, and 4.0 (2.9 to 6.5) for the control, with higher levels indicating more fatigue. Conclusion: Macronutrient feedings led to a significantly lower level of self-reported fatigue without affecting golf performance and alertness compared to a control.

Using Nutrition Knowledge and Diet Quality Questionnaires as Screening Tools to Identify Female Collegiate Athletes in Need of Dietitian Referral.

The purpose of this study was to evaluate nutrition knowledge and diet quality in collegiate athletes to determine if referral to a sports registered dietitian (RD) is warranted. This cross-sectional study analyzed four sections of the Nutrition for Sport Knowledge Questionnaire and the Rapid Eating Assessment for Patients Questionnaire, both validated in athletic populations. The relationship between nutrition knowledge and diet quality was evaluated. Significance was set at P ≤ 0.05. One hundred and twenty athletes reported a median nutrition score of 52 (45-61), and a dietary quality score of 53 (46-58), with a weak, positive association between both (r = 0.28 (95% CI: 0.11-0.44), P < 0.01). Fifty-four percent were categorized as needing a referral to a sports RD. Diet quality scores differed between dietitian referral group with 49 (43-54) versus 58 (52-62) for the nonreferral group, respectively (P < 0.01, V = 0.71), with no difference in nutrition knowledge observed, P = 0.73. Overall, nutrition knowledge and diet quality in our sample of collegiate athletes was poor. College athletic departments with limited access to sports RD should use these questionnaires to evaluate knowledge and the need of dietitian referral separately.

A lavatory urine color (LUC) chart method can identify hypohydration in a physically active population.

PURPOSE: To provide a new and efficient at-the-toilet-bowl method of self-assessing urine concentration via urine color (Uc) to identify hypohydration. METHODS: A large athletic population (n = 189) delivered a urine sample, then chose a color panel that was displayed on the back wall of the lavatory stall. Selection was based on duration of urine voiding time, so that for a short-duration, the lighter panel was selected; for a mid-duration, the mid color panel; and for a longer-void-duration, the darker panel was selected. Then, subjects noted if their urine was lighter than, similar to, or darker than the selected color panel. Trained investigators also rated subjects' urine samples. To assess validity of Uc classification, the outcome was compared with a urine concentration (urine specific gravity, USG, and urine osmolality) threshold indicating hypohydration. RESULTS: Urine color was scored similarly by subjects and investigators (P = 0.99). Based on receiver operating curves (ROC), the method scored fair, i.e., the area under the curve ranging 0.73-0.82, with an accuracy of participants and investigators correctly classifying 72% and 75% urine samples compared to a USG threshold of 1.020, respectively, and 62% and 70% compared to a urine osmolality threshold of 836 mmol·kg-1, respectively. CONCLUSION: This new lavatory urine color (LUC) method of scoring Uc levels to assess potential hypohydration gives results similar to those of traditional urine color charts, but it has the advantage of an immediate assessment of hydration status based on scoring urine color directly from the toilet bowl.

A 5-day Heat Acclimation Program Improves Heat Stress Indicators While Maintaining Exercise Capacity.

ABSTRACT: Wardenaar, FC, Ortega-Santos, CP, Vento, K, Beaumont, JS, Griffin, SC, Johnston, C, and Kavouras, SA. A 5-day heat acclimation program improves heat stress indicators while maintaining exercise capacity. J Strength Cond Res 35(5): 1279-1286, 2021-This study aimed to evaluate whether a daily 60 minutes isothermic biking protocol during a 5-day period could improve physiological heat acclimation and exercise performance capacity in partially acclimated subjects. A quasi-experimental study consisted of an intervention (INT, n = 7) and control (CON, n = 7) group completing 2 12 minutes Cooper tests (pre-CT on day 1 and post-CT on day 7) and a heat stress test (HST, on day 9). INT performed additional intensive exercise 1 hour per day on days 1-5, whereas CON did not. During CTs and HST, core temperature (Tc, telemetric capsule), skin temperature (Tsk, sensors at neck, right shoulder, left hand, and right shin), and heart rate (HR, chest strap) were continuously monitored and baseline, average, peak, and increment were calculated. During the HST, the INT group showed a smaller baseline-peak Tc increment (INT 0.88 ± 0.27 vs. CON 1.64 ± 0.90° C, p = 0.02), a lower HR peak (150.2 ± 12.6 vs. 173.0 ± 16.8 b·min-1, p = 0.02), and lower Tsk peak (36.47 ± 0.62 vs. 36.54 ± 0.46° C, p = 0.04). There was a nonsignificant, but practical difference based on a moderate effect size for change in pre-CT to post-CT performance of nearly +2.7 ± 12.3% in INT and -3.0 ± 8.5% in CON (p = 0.32 and d = 0.51), and HST distance covered resulting in a nonsignificant difference of 464 ± 849 m between INT and CON (p = 0.38 and d = 0.44). In conclusion a short-term 5-day heat acclimation program including 300 minutes of extra exercise resulted in positive physiological adaptions to heat stress, as indicated by lower core temperature and HR in comparison with a control group.

Habitual Dietary Nitrate Intake in Highly Trained Athletes.

Although beetroot juice, as a nitrate carrier, is a popular ergogenic supplement among athletes, nitrate is consumed through the regular diet as well. We aimed to assess the habitual dietary nitrate intake and identify the main contributing food sources in a large group of highly trained athletes. Dutch highly trained athletes (226 women and 327 men) completed 2-4 web-based 24-hr dietary recalls and questionnaires within a 2- to 4-week period. The nitrate content of food products and food groups was determined systematically based on values found in regulatory reports and scientific literature. These were then used to calculate each athlete's dietary nitrate intake from the web-based recalls. The median[IQR] habitual nitrate intake was 106[75-170] mg/d (range 19-525 mg/d). Nitrate intake correlated with energy intake (ρ = 0.28, p < .001), and strongly correlated with vegetable intake (ρ = 0.78, p < .001). In accordance, most of the dietary nitrate was consumed through vegetables, potatoes and fruit, accounting for 74% of total nitrate intake, with lettuce and spinach contributing most. When corrected for energy intake, nitrate intake was substantially higher in female vs male athletes (12.8[9.2-20.0] vs 9.4[6.2-13.8] mg/MJ; p < .001). This difference was attributed to the higher vegetable intake in female vs male athletes (150[88-236] vs 114[61-183] g/d; p < .001). In conclusion, median daily intake of dietary nitrate in highly trained athletes was 106 mg, with large interindividual variation. Dietary nitrate intake was strongly associated with the intake of vegetables. Increasing the intake of nitrate-rich vegetables in the diet might serve as an alternative strategy for nitrate supplementation.

Dietary Protein Intake and Distribution Patterns of Well-Trained Dutch Athletes.

Dietary protein intake should be optimized in all athletes to ensure proper recovery and enhance the skeletal muscle adaptive response to exercise training. In addition to total protein intake, the use of specific proteincontaining food sources and the distribution of protein throughout the day are relevant for optimizing protein intake in athletes. In the present study, we examined the daily intake and distribution of various proteincontaining food sources in a large cohort of strength, endurance and team-sport athletes. Well-trained male (n=327) and female (n=226) athletes completed multiple web-based 24-hr dietary recalls over a 2-4 wk period. Total energy intake, the contribution of animal- and plant-based proteins to daily protein intake, and protein intake at six eating moments were determined. Daily protein intake averaged 108±33 and 90±24 g in men and women, respectively, which corresponded to relative intakes of 1.5±0.4 and 1.4±0.4 g/kg. Dietary protein intake was correlated with total energy intake in strength (r=0.71, p <.001), endurance (r=0.79, p <.001) and team-sport (r=0.77, p <.001) athletes. Animal and plant-based sources of protein intake was 57% and 43%, respectively. The distribution of protein intake was 19% (19±8 g) at breakfast, 24% (25±13 g) at lunch and 38% (38±15 g) at dinner. Protein intake was below the recommended 20 g for 58% of athletes at breakfast, 36% at lunch and 8% at dinner. In summary, this survey of athletes revealed they habitually consume > 1.2 g protein/kg/d, but the distribution throughout the day may be suboptimal to maximize the skeletal muscle adaptive response to training.

Nutritional Supplement Use by Dutch Elite and Sub-Elite Athletes: Does Receiving Dietary Counseling Make a Difference?

The use of nutritional supplements is highly prevalent among athletes. In this cross-sectional study, we assessed the prevalence of nutritional supplement use by a large group of Dutch competitive athletes in relation to dietary counseling. A total of 778 athletes (407 males and 371 females) completed a web-based questionnaire about the use of nutritional supplements. Log-binomial regression models were applied to estimate crude and adjusted prevalence ratios (PR) for the use of individual nutritional supplements in athletes receiving dietary counseling as compared with athletes not receiving dietary counseling. Of the athletes, 97.2% had used nutritional supplements at some time during their sports career, whereas 84.7% indicated having used supplements during the last 4 weeks. The top ranked supplements used over the last 4 weeks from dietary supplements, sport nutrition products and ergogenic supplements were multivitamin and mineral preparations (42.9%), isotonic sports drinks (44.1%) and caffeine (13.0%). After adjustment for elite status, age, and weekly exercise duration, dietary counseling was associated with a higher prevalence of the use of vitamin D, recovery drinks, energy bars, isotonic drinks with protein, dextrose, beta-alanine, and sodium bicarbonate. In contrast, dietary counseling was inversely associated with the use of combivitamins, calcium, vitamin E, vitamin B2, retinol, energy drinks and BCAA and other amino acids. In conclusion, almost all athletes had used nutritional supplements at some time during their athletic career. Receiving dietary counseling seemed to result in better-informed choices with respect to the use of nutritional supplements related to performance, recovery, and health.

Nutritional Status and Daytime Pattern of Protein Intake on Match, Post-Match, Rest and Training Days in Senior Professional and Youth Elite Soccer Players.

The nutritional status of elite soccer players across match, postmatch, training and rest days has not been defined. Recent evidence suggests the pattern of dietary protein intake impacts the daytime turnover of muscle proteins and, as such, influences muscle recovery. We assessed the nutritional status and daytime pattern of protein intake in senior professional and elite youth soccer players and compared findings against published recommendations. Fourteen senior professional (SP) and 15 youth elite (YP) soccer players from the Dutch premier division completed nutritional assessments using a 24-hr web-based recall method. Recall days consisted of a match, postmatch, rest, and training day. Daily energy intake over the 4-day period was similar between SP (2988 ± 583 kcal/day) and YP (2938 ± 465 kcal/day; p = .800). Carbohydrate intake over the combined 4-day period was lower in SP (4.7 ± 0.7 g·kg-1 BM·day-1) vs. YP (6.0 ± 1.5 g·kg-1 BM·day-1, p = .006) and SP failed to meet recommended carbohydrate intakes on match and training days. Conversely, recommended protein intakes were met for SP (1.9 ± 0.3 g·kg-1 BM·day-1) and YP (1.7 ± 0.4 g·kg-1 BM·day-1), with no differences between groups (p = .286). Accordingly, both groups met or exceeded recommended daily protein intakes on individual match, postmatch, rest and training days. A similar "balanced" daytime pattern of protein intake was observed in SP and YP. To conclude, SP increased protein intake on match and training days to a greater extent than YP, however at the expense of carbohydrate intake. The daytime distribution of protein intake for YP and SP aligned with current recommendations of a balanced protein meal pattern.

Nutrient Intake by Ultramarathon Runners: Can They Meet Recommendations?

PURPOSE: The objective of this study was to investigate whether ultramarathon runners were able to meet nutrition recommendations during a training period and on a competition day. METHODS: In preparation for a 60 or 120 km ultramarathon covering a varied terrain, male and female ultramarathon runners (n = 68, age 46.5 ± 7.1 y) reported habitual dietary intake during three independent days using a web-based 24-hr recall and questionnaires. The diet was assessed using probability of inadequacy or by qualitative evaluation using reference dietary intakes or sports nutrition recommendations. A small group of 120 km runners (n = 4) was observed continuously during the race. After the race, 60 km runners (n = 41) received a questionnaire to assess dietary intake and gastrointestinal (GI) distress on the race day. Spearman rank correlation coefficients (r) were applied to investigate the association between intake and general GI distress symptoms. RESULTS: In men and women, habitual mean carbohydrate (CHO) intake was lower than recommended, as was mean protein intake by women. CHO intake during the race was <60 g/h in 75% of the athletes. A large variation of nutrient and fluid intake was seen. GI distress during the race was reported in 82% of the runners; severe GI distress was low. In general, moderate, mostly negative, correlations with nutrient intake were seen for GI distress. CONCLUSION: Sports nutrition recommendations for the habitual diet were not achieved. During a competition day, a large variation was found in nutrient intake; this may be related to a high incidence of GI distress.

Development of a screener to assess athlete risk behavior of not using third-party tested nutritional supplements.

Introduction: The aim of this cross-sectional study was to develop an algorithm to predict athletes use of third-party tested (TPT) supplements. Therefore, a nutritional supplement questionnaire was used with a section about self-reported TPT supplement use. Methods: Outcomes were randomly assigned to a training dataset to identify predictors using logistic regression models, or a cross-validation dataset. Training data were used to develop an algorithm with a score from 0 to 100 predicting use or non-use of TPT nutritional supplements. Results: A total of n = 410 NCAA Division I student-athletes (age: 21.4 ± 1.6 years, 53% female, from >20 sports) were included. Then n = 320 were randomly selected, of which 34% (n = 109) of users consistently reported that all supplements they used were TPT. Analyses resulted in a 10-item algorithm associated with use or non-use of TPT. Risk quadrants provided the best fit for classifying low vs. high risk toward inconsistent TPT-use resulting in a cut-off ≥60% (χ2(4) = 61.26, P < 0.001), with reasonable AUC 0.78. There was a significant association for TPT use (yes/no) and risk behavior (low vs. high) defined from the algorithm (χ2(1)=58.6, P < 0.001). The algorithm had a high sensitivity, classifying 89% of non-TPT users correctly, while having a low specificity, classifying 49% of TPT-users correctly. This was confirmed by cross-validation (n = 34), reporting a high sensitivity (83%), despite a lower AUC (0.61). Discussion: The algorithm classifies high-risk inconsistent TPT-users with reasonable accuracy, but lacks the specificity to classify consistent users at low risk. This approach should be useful in identifying athletes that would benefit from additional counseling.

Combined active and passive isothermic heating leads to similar core temperature compared to exercise alone.

CONTEXT: The training stress of heat acclimatization optimizing exercise performance in a hot environment can be demanding. OBJECTIVES: This study evaluated the efficiency of different single heating protocols to elevate core temperature. DESIGN: Not randomized controlled trial. SETTING: Passive heating (PAS), 30-min active heating using a high-intensity bike protocol (HIBP) in a hot environment with 30-min passive heating (EH-PAS), 60-min HIBP in a hot environment (EH), or 60-min HIBP at room temperature (EM). PARTICIPANTS: Ten male participants (25±3 years) performed four different 60-min heating strategies at least one week apart. MAIN OUTCOME MEASURES: Body core temperature and heart rate. RESULTS: The highest peak gastrointestinal temperature occurred in EH-PAS (39.1±0.4°C), followed by EH (38.9±0.3°C), EM (38.4±0.3°C), and PAS (38.1±0.5°C). The average HR, measured as a control for intensity, was not different between exercise strategies (EH-PAS: 142±12.3, EH: 146±9.7, and EM: 142±13.3, p>0.05), while different from PAS: 98±15.2 bpm, p<0.05. CONCLUSIONS: Adding passive heating to a shorter exercise protocol can be just as effective in keeping core temperature elevated as exercise in the heat alone during a 60-minute session. Therefore, a single-bout combination of exercise and passive heating may result in a similar body temperature induction compared to exercise heat stress alone.

Helping athletes to select botanical supplements for the right reasons: A comparison of self-reported reasons for use versus evidence-based supplement claims.

Use of food supplements (FS) by athletes is well characterised but there is little information on 'herbal' or 'botanical' FS beyond 'natural'. This study determined, by questionnaire, whether athletes' main self-reported reason for using FS was reflective of what was written on product labels or, when these claims were unavailable, was in accordance with the scientific literature. In 217 elite (n = 55) and amateur (n = 162) athletes living on the island of Ireland, 71% (n = 153) consumed any kind of FS, with 16% (n = 34) of the entire cohort deemed botanical consumers. 'Protein' (21%, n = 46), 'vitamin D' (17%, n = 37) and 'vitamin C' (15% n = 32) were most consumed with the top reasons for use being 'to support health', 'to prevent illness/for immunity purposes' and 'recovery'. There was generally good agreement between approved nutrition and health claims for such products and athletes' main reported reasons for use. Only the amateur athletes in our pool described using botanical supplements, with reasons for use stated as 'sleep improvement' (21%), 'recovery' (14%), 'supporting health' (12%) and 'energy' (12%), resulting in poor agreement with either approved claims or scientific evidence. Only half of amateur athletes knew if their botanical FS were third-party tested. Athletes and practitioners require guidance to avoid consuming supplements for which there is little scientific evidence, and which may risk being contaminated/fraudulent.

The Development and Efficacy of a High School Athlete Education Program for Safe Nutritional Supplement Use.

Many high school athletes report using nutritional supplements. Due to a lack of education at the high school level, the use of safe for sports third-party tested nutritional supplements may be limited. To determine the impact of a short online nutritional supplement education program on safe dietary supplement behavior a cross-sectional repeated measures design was used. Therefore, a convenience sample of 106 high school athletes (14-19 years old) was recruited to measure pre-post education difference for nutritional supplement use and third-party tested (TPT) supplements. Additionally, it was analyzed if nutritional supplement related Theory of Planned Behavior (TPB) constructs were associated with athlete choices. The most popular supplements included protein powder (65%), caffeine from beverages (45%), and different types of vitamins (ranging from 38-44%). Consistent use of (safe) third-party tested individual supplements was low, ranging from 35-77% for the most frequently reported supplements. The combined TPB determinants explained 26% of the variance of the intention to use safe supplements (F3, 102 = 13.03, p < 0.001, Adj R2 = 0.26). The self-reported intention to use third-party tested supplements increased significantly (+7%-36% per individual supplement) after following the education program (Z = -3.288, p = 0.001) resulting in an intentional use of 54-94% TPT supplements. In conclusion, education resulted in more high school athletes reporting future third-party tested supplements use, and TPB construct scores did not change over time but could explain a substantial part of the variance of safe supplement use intentions.

High School Athletes' Use and Knowledge of (Safe) Nutritional Supplement Use: An Exploratory Study.

The use of nutritional supplements can lead to doping risk and no data exist on high school athletes' use of certified third-party tested supplements. A cross-sectional cohort design was developed using an anonymous survey. Descriptive data for supplement use, use of third-party tested supplements, and knowledge in high school athletes were reported. A total of 225 high school athletes, ranging from 14-19 years of age, from a private high school in the western US, were included in the analysis of the results. A total of 94% (n=211) of athletes reported nutritional supplement use within the past year with an average of six (interquartile range: 3-9) individual supplements, ranging from 0-20 supplements per person. Most frequently reported were sports drinks (72%), vitamins (65%), sports bars (60%), protein powder (58%), caffeine (37%, as part of normal beverages, or 13% as a supplement), followed by creatine (23%). A total of 24% claimed to know for sure that all their supplements were third-party tested. In addition, the recognition of third-party testing organization icons was low (46% in supplement users vs. 14% in nonusers). Athletes also scored low in reporting how to find (22%) and how to order (25%) third-party tested supplements. In conclusion, almost all athletes in this study reported the use of multiple nutritional supplements annually. Only one-fourth of the athletes reported consistently using third-party tested supplements. Knowledge of where and how tested supplements could be purchased was limited in this high school athlete population.

Collegiate student-athletes use and knowledge of third-party tested nutritional supplements: An exploratory study.

CONTEXT: Nutritional supplement use in athletes is common, accompanied by potential doping risk. OBJECTIVE: Determine athletes' nutritional supplement and third-party tested (TPT) supplement use, supplement knowledge as well as factors influencing their behavior. DESIGN: Cross-Sectional Study. SETTING: NCAA DI athletic departments. PARTICIPANTS: Student-athletes (n=410, 53% female, age 21.4±1.6 years). MAIN OUTCOME MEASURES: Survey questions addressed topics including nutritional supplement knowledge and use, TPT supplement knowledge, use and logo recognition and data were 11 stratified for sex differences. RESULTS: Athletes (91%) report the use of supplements, but the total number of supplements used (median and interquartile range, IQR) is lower in females (7, 4-11), than males (9, 4-12), with U=17960, p=0.01. A total of 48% (n=191, out of 402 responses) reported purchasing supplements outside of their athletic department, with significantly fewer females (40%, n=84) than males (56%, n=107) reporting this behavior (χ2=11.20, p<0.001). No association between TPT logo recognition and TPT use was seen (χ2=0.238, p=0.63). Of all athletes using supplements, 38% (n=140) reported "consistent TPT use", while females (36%, n=70) reported this less often than males (41%, n=70, χ2=0.952, p<0.32). No sex differences were seen for receiving nutritional counseling (89%, p=0.37), or the low nutritional supplement knowledge (<50%, p=0.38), however, males had 2.5 times greater odds at recognizing a TPT organization logo than females (OR=2.45, with 95% CI=1.58-3.79). CONCLUSIONS: Most athletes use nutritional supplements. Females report slightly fewer supplements than males, while also less frequently purchasing them outside their athletic department, potentially explaining the lower TPT logo recognition in female athletes.

The Gastrointestinal Symptom Rating Scale has a Good Test-Retest Reliability in Well-Trained Athletes With and Without Previously Self-Identified Gastrointestinal Complaints.

BACKGROUND: Athletes often report gastrointestinal (GI) complaints. Standardized validated tests validated in athletes are lacking. OBJECTIVE: The objective of the current study was to investigate the test-retest reliability of the gastrointestinal symptoms rating scale (GSRS), a disease-specific instrument of 15 items to quantify the severity of various GI symptoms. METHODS: For this purpose, a 3-week repeated measurements design was used. The mean difference (Wilcoxon signed rank test), associations (Spearman correlations), and systematic difference using Bland-Altman calculations for repeated measurements, as well as its internal consistency (Cronbach's alpha) on testing day 1 and day 2 were analyzed, with significance set at p ≤ 0.05. A total of n = 70 well-trained athletes (26.1 ± 5.4 years, of which 40% were female) were included. RESULTS: A high Cronbach's α for GSRS was found on testing day 1 (0.825), and day 2 (0.823), suggesting a good and comparable internal consistency of the questionnaire. When assessing the multilevel temporal stability for total GSRS scores (28.0, IQR 22.0-36.3 vs 26.5, IQR 18.0-35.0), there was a small but significant difference (Z = - 2.489, and p = 0.013), but a fair correlation between day scores (r = 0.68, p < 0.001), and a Bland-Altman reporting difference between questionnaires within 10% of the total GSRS score, without significant reporting bias (p = 0.38). In most cases, except for hunger, burping, and loose stools, the individual GSRS items were reported in line with total scores and similar for sex. CONCLUSION: In conclusion, the GSRS is reliable when used with athletes, with good internal consistency for most symptoms independently of sex, except for hunger, burping, and loose stools.