Common Prescription Medications Used in Athletes

Ferry, Benjamin; DeCastro, Alexei; Bragg, Scott

doi:10.1016/j.pop.2019.10.003

Cited by 14 publications

(12 citation statements)

References 58 publications

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“…O'Donovan et al, 2020 [99] Besides their chronic training regimes, the dietary intake patterns of athletes are often different from those of sedentary subjects [101], as is medication intake [102,103]. These factors also might influence their gut microbiota composition [94,104,105].…”

Section: The Athletes' Gut Microbiota a Specialized Microbiota?mentioning

confidence: 99%

The Nutrition-Microbiota-Physical Activity Triad: An Inspiring New Concept for Health and Sports Performance

Barnich

Koechlin-Ramonatxo

2022

Nutrients

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The human gut microbiota is currently the focus of converging interest in many diseases and sports performance. This review presents gut microbiota as a real “orchestra conductor” in the host’s physio(patho)logy due to its implications in many aspects of health and disease. Reciprocally, gut microbiota composition and activity are influenced by many different factors, such as diet and physical activity. Literature data have shown that macro- and micro-nutrients influence gut microbiota composition. Cumulative data indicate that gut bacteria are sensitive to modulation by physical activity, as shown by studies using training and hypoactivity models. Sports performance studies have also presented interesting and promising results. Therefore, gut microbiota could be considered a “pivotal” organ for health and sports performance, leading to a new concept: the nutrition-microbiota-physical activity triad. The next challenge for the scientific and medical communities is to test this concept in clinical studies. The long-term aim is to find the best combination of the three elements of this triad to optimize treatments, delay disease onset, or enhance sports performance. The many possibilities offered by biotic supplementation and training modalities open different avenues for future research.

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Section: The Athletes' Gut Microbiota a Specialized Microbiota?mentioning

confidence: 99%

The Nutrition-Microbiota-Physical Activity Triad: An Inspiring New Concept for Health and Sports Performance

Barnich

Koechlin-Ramonatxo

2022

Nutrients

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“…In order to suppress pain signals, amateur and competitive athletes are likely to take over-thecounter analgesics (OTC analgesics) (e.g. [2][3][4]). These drugs are often taken before an expected maximum exertion like a competition [3].…”

Section: Introductionmentioning

confidence: 99%

Sex differences in the consumption of over-the-counter analgesics among amateur volleyball players

Hager

Averbeck²,

Voelcker‐Rehage

et al. 2021

BMC Sports Sci Med Rehabil

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Background Compared with the normal adult population, athletes of several sport disciplines, such as endurance sports, ball sports, cycling and swimming, have higher use of over-the-counter analgesics (OTC analgesics). The aim of this study was to describe the epidemiology of OTC analgesic use in volleyball players as a typical competitive sport discipline. One particular focus was placed on the analysis whether the athletes’ use of OTC analgesics was influenced by their performance motivation. Methods A cross-sectional survey among amateur volleyball players was carried out using a web-based sports questionnaire. The study included athletes of both sexes, 18 years and older, currently playing in a German volleyball league. The athletes’ sport-related complaints were evaluated regarding the use of OTC analgesics. The use of OTC analgesics by athletes was compared with their performance motivation, based on the „Achievement Motives Scale - Sport” (AMS-Sport) questionnaire. Results The analysis of 114 completed questionnaires of amateur athletes revealed that the use of OTC analgesics was sex dependent, with a higher prevalence of use in female players (60%) versus male players (38%). The main reasons for consumption of OTC analgesics were pain in the head, knee and shoulder. The most frequently taken drug was ibuprofen, most often taken at competitions and over a period of 4 years (median). The analysis of the AMS-Sport questionnaire revealed that a logistic regression model for estimating the probability of drug use can be explained by the factors hope of success and years of playing practise in female players but not male players. In females, an increase in the factor hope of success resulted in a lower probability of OTC analgesic use, while an increase in years of playing practise resulted in a higher probability of use. Conclusion The average duration that volleyball players in this study took OTC analgesics was higher than that of the German population, and OTC analgesic use was more prevalent in female than male volleyball players. Thus, to reduce the prevalence of OTC analgesic use, educational programs should be implemented in sports teams; and, to reduce direct and indirect social pressure, sports teams should also receive sex-specific psychological support.

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“…Furthermore, common medications used in older athletes for short-term symptom relief or for management of chronic conditions may have significant adverse effects on physiological functions. 34 …”

Section: Discussionmentioning

confidence: 99%

“…Masters runners at an international competition reported an injury rate of 49% in the previous year with knee injuries accounting for 19%. Furthermore, common medications used in older athletes for short-term symptom relief or for management of chronic conditions may have significant adverse effects on physiological functions 34…”

Section: Discussionmentioning

confidence: 99%

Health challenges and acute sports injuries restrict weightlifting training of older athletes

Huebner

2022

BMJ Open Sport Exerc Med

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ObjectivesTo quantify acute injuries sustained during weightlifting that result in training restrictions and identify potential risk factors or preventative factors in Master athletes and to evaluate potentially complex interactions of age, sex, health-related and training-related predictors of injuries with machine learning (ML) algorithms.MethodsA total of 976 Masters weightlifters from Australia, Canada, Europe and the USA, ages 35–88 (51.1% women), completed an online survey that included questions on weightlifting injuries, chronic diseases, sport history and training practices. Ensembles of ML algorithms were used to identify factors associated with acute weightlifting injuries and performance of the prediction models was evaluated. In addition, a subgroup of variables selected by six experts were entered into a logistic regression model to estimate the likelihood of an injury.ResultsThe accuracy of ML models predicting injuries ranged from 0.727 to 0.876 for back, hips, knees and wrists, but were less accurate (0.644) for shoulder injuries. Male Master athletes had a higher prevalence of weightlifting injuries than female Master athletes, ranging from 12% to 42%. Chronic inflammation or osteoarthritis were common among both men and women. This was associated with an increase in acute injuries.ConclusionsTraining-specific variables, such as choices of training programmes or nutrition programmes, may aid in preventing acute injuries. ML models can identify potential risk factors or preventative measures for sport injuries.

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Common Prescription Medications Used in Athletes

Cited by 14 publications

References 58 publications

The Nutrition-Microbiota-Physical Activity Triad: An Inspiring New Concept for Health and Sports Performance

The Nutrition-Microbiota-Physical Activity Triad: An Inspiring New Concept for Health and Sports Performance

Sex differences in the consumption of over-the-counter analgesics among amateur volleyball players

Health challenges and acute sports injuries restrict weightlifting training of older athletes

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