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Increased number of symptoms during the acute phase of SARS-CoV-2 infection in athletes is associated with prolonged time to return to full sports performance—AWAREⅧ

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Journal of Sport and Health Science 2024年第3期13卷 280-287,I0001页

作者： Carolette Snyders Marlise Dyer nicola sewry Esme Jordaan Martin Schwellnus Sport Exercise Medicine and Lifestyle Institute(SEMLI)Faculty of Health SciencesUniversity of PretoriaPretoria 0083South Africa Section Sports Medicine Faculty of Health SciencesUniversity of PretoriaPretoria 0083South Africa IOC Research Centre of South Africa Pretoria 0083South Africa Biostatistics Unit South African Medical Research CouncilTygerberg 7505South Africa Statistics and Population Studies Department University of the Western CapeCape Town 7535South Africa

Purpose The aim of the study was to identify factors associated with prolonged time to return to full performance(RTFP)in athletes with recent severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)*** Prospective cohort study with cross sectional analysis.A total of 84 athletes with confirmed SARS-CoV-2 infection assessed at a coronavirus disease 2019 recovery clinic gave a history of age,sex,type/level of sport,co-morbidities,pre-infection training hours,and 26 acute SARS-CoV-2 symptoms from 3 categories(“nose and throat”,“chest and neck”,and“whole body”/systemic).Data on days to RTFP were obtained by structured *** associated with RTFP were demographics,sport participation,history of co-morbidities,pre-infection training history,and acute symptoms(type,number).Outcomes were:(a)days to RTFP(median,interquartile range(IQR))in asymptomatic(n=7)and symptomatic athletes(n=77),and(b)hazard ratios(HRs;95%confidence interval)for symptomatic athletes with *** a factor(univariate,multiple models).HR0.05).Factors associated with prolonged RTFP(univariate models)were:females(HR=0.57;p=0.014),endurance athletes(HR=0.41;p<0.0001),co-morbidity number(HR=0.75;p=0.001),and respiratory disease history(HR=0.54;p=0.026).In symptomatic athletes,prolonged RTFP(multiple models)was significantly associated with increased“chest and neck”(HR=0.85;p=0.017)and“nose and throat”(HR=0.84;p=0.013)symptoms,but the association was more profound between prolonged RFTP and increased total number of“all symptoms”(HR=0.91;p=0.001)and“whole body”/systemic(HR=0.82;p=0.007)*** A larger number of total symptoms and specifically“whole body”/systemic symptoms during the acute phase of SARS-CoV-2 infection in athletes is associated with prolonged RTFP.

关键词： Athletes COVID-19 Performance Recovery Return to play

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Predictors of multiple injuries in individual distance runners:A retrospective study of 75,401 entrants in 4 annual races-SAFER XX

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Journal of Sport and Health Science 2022年第3期11卷 339-346页

作者： Sonja Swanevelder nicola sewry Martin Schwellnus Esme Jordaan Biostatistics Unit South African Medical Research CouncilParow 7575South Africa Sport Exercise Medicine and Lifestyle Institute(SEMLI)Faculty of Health SciencesUniversity of PretoriaPretoria 0081South Africa International Olympic Committee(IOC)Research Centre Pretoria 0081South Africa Emeritus Professor of Sport and Exercise Medicine Faculty of Health SciencesUniversity of Cape TownBellville 7535South Africa Statistics and Population Studies Department University of the Western CapeBellville 7535South Africa

Background There are limited data on factors that predict an increased risk of multiple injuries among distance *** objective of this study was to determine risk factors that are predictive of individual runners with a high annual multiple injury risk(MIR).Methods A retrospective,cross-sectional study at 4 annual(2012-2015)Two Oceans 21.1 km and 56.0 km races in South Africa with 75,401 consenting race ***-related injury data were collected retrospectively through an online pre-race medical screening *** average number of injuries for each runner every year was calculated by taking a runner's race entry history and injury history into account and categorizing entrants into 4 MIR categories(high,intermediate,low,and very low(reference)).Multiple logistic regression modeling(odds ratios)was used to determine whether the following factors were predictive of a high MIR(average>1 injury/year):demographics,training and racing,chronic-disease history(composite chronic disease score(CCDS)),and history of *** Of all entrants,9.2%reported at least 1 injury,and 0.4%of entrants were in the high MIR category;the incidence rate was 2.5 injuries per 10 runner-years(95%confidence interval(95%CI):2.4-2.7).Significant factors predictive of runners in the high MIR category were:running for>20 years:OR=2.0(95%CI:1.3-3.1;p=0.0010);a higher CCDS:OR=2.2(95%CI:2.0-2.4;p20 years and those with multiple chronic diseases or a history of allergies were at higher risk of multiple running-related *** high-risk group can be targeted for further study and possible injury-prevention interventions.

关键词： Allergies Chronic diseases Multiple injuries Risk factors SAFER study

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