ライフサイエンスコーパス: athlete

1 eatening arrhythmias and sudden death in the athlete.

2 in the appropriate management of the injured athlete.

3 hological late enhancement was detected in 1 athlete.

4 d acceptance of sports activity in the older athlete.

5 nners, with a median of 13 marathon runs per athlete.

6 er application of the ECG in the care of the athlete.

7 emporary standards for ECG interpretation in athletes.

8 ated neural activity in former U.S. football athletes.

9 ism and performance of world-class endurance athletes.

10 eable and competent in ECG interpretation in athletes.

11 t of HA has yet to be studied in truly elite athletes.

12 itating for both casual and high-performance athletes.

13 dies on MRSA colonization among asymptomatic athletes.

14 nsive physical activity in a large cohort of athletes.

15 systematically assessed in a large cohort of athletes.

16 95% CI, 99.0-105.4 g/m2; P = .029) in white athletes.

17 associated with cardiac pathology in 45% of athletes.

18 playing field and maintaining the welfare of athletes.

19 ment of myocardial structure and function in athletes.

20 nic diseases, but less so in elite endurance athletes.

21 Cartilage injuries are common, especially in athletes.

22 ocardiography were performed in 25 endurance athletes.

23 c interventricular septum thickness in those athletes.

24 dotypes inducing respiratory symptoms within athletes.

25 al effects associated with age in the alumni athletes.

26 arge cohort of young, white adults including athletes.

27 eart rate, consistent with HCN repression in athletes.

28 e of at least 0.13 m compared to non-amputee athletes.

29 thological sinus node dysfunction in veteran athletes.

30 ac death, particularly in young patients and athletes.

31 he proper evaluation of ECG abnormalities in athletes.

32 s and a major cause of sudden death in young athletes.

33 r the Child SCAT3 in a large cohort of young athletes.

34 Five athletes (1.0%) had an LV ejection fraction of less than

35 power relative to body mass than other rugby athletes (14%; P = 2 x 10(-6)).

36 Among the athletes, 17 had a G3 concussion and 11 did not.

37 46), including 4,720 females (32%) and 2,958 athletes (20%), were evaluated by using a health questio

38 al study was performed in 3281 healthy elite athletes (2039 men and 1242 women) aged 23.1+/-5.7 years

39 t ventricular hypertrophy was present in 144 athletes (27.4%).

40 The game concussion rate for college athletes (3.74 per 1000 athlete exposures) was higher th

41 %) than nonelite swimmers (31%), nonswimming athletes (32%) and controls (24%).

42 ) compared to controls (67%) and nonswimming athletes (42%).

43 We assessed 152 masters athletes 54.4+/-8.5 years of age (70% male) and 92 contr

44 ss was greater in high- than low-performance athletes 60.7+/-7.5 versus 48.6+/-6.3 g/m(2); P<0.001),

45 Most athletes (60%) and controls (63%) had a normal CAC score

46 Of these athletes, 7 had a pattern consistent with previous myoca

47 included 28 retired National Football League athletes, 8 of whom had MCI and a history of concussion,

48 We compared 35 athletes (80% men, age: 14-48 years) with ventricular ar

49 dy mass for success, compared to other rugby athletes (82%; P = 0.01, OR = 3.34) and controls (84%; P

50 Athletes absorb several hundred mTBIs each year; however

51 physiological limits in all planes in elite athletes according to static and dynamic cardiovascular

52 y investigated the costs of ECG screening in athletes according to the 2010 European Society of Cardi

53 gnificantly larger in a sample of former NFL athletes after adjusting for their size, age, race, and

54 hite competitive elite male master endurance athletes (age range, 30-60 years) with a training histor

55 n 2011 and 2014, 4,925 previously unscreened athletes aged 14 to 35 years were prospectively evaluate

56 ystem included more than 3000 youth football athletes aged 5 to 14 years from 118 teams, providing 31

57 ussion incidence data across the spectrum of athletes aged 5 to 23 years.

58 s and 46 saliva samples from 55 male college athletes ages 18-25 years.

59 0 ESC recommendations was $539,888 ($110 per athlete and $35,993 per serious diagnosis).

60 atic, seven competitive swimmers, one indoor athlete and one control met the criteria for EIB.

61 Forty-five males (30 athletes and 15 sedentary age-matched healthy controls)

62 089 participants, comprising 530 elite rugby athletes and 559 non-athletes, DNA was collected and gen

63 havioural impairment in retired professional athletes and a point of comparison for future neuroimagi

64 T) is widely used to increase muscle mass in athletes and also aged/cachectic populations.

65 ronic illness, it is higher among collegiate athletes and can be twice that for patients in intensive

66 specific populations such as collision sport athletes and certain military personnel are of particula

67 corrected for multiple comparisons for both athletes and control participants.

68 lar ejection fraction did not differ between athletes and control subjects (52+/-8 and 54+/-6%; P=0.2

69 rhinitis in swimming compared to nonswimming athletes and controls.

70 elite swimmers (22%) compared to nonswimming athletes and controls.

71 nd nonelite swimmers compared to nonswimming athletes and controls.

72 determine MRSA colonization in asymptomatic athletes and estimate the risk for subsequent MRSA infec

73 ial growth in the populations of competitive athletes and highly active people (CAHAP).

74 injuries are a common source of morbidity in athletes and if overlooked may result in chronic functio

75 and the TJ structure and may have value for athletes and in the prevention of heat stroke in militar

76 in the training-induced bradycardia in human athletes and investigate the role of microRNAs (miRs) in

77 roblem for both recreational and competitive athletes and is the most common chronic condition among

78 e of causes of sudden cardiac death (SCD) in athletes and its precipitating factors is necessary to e

79 of 23 of the world's most successful memory athletes and matched controls with fMRI during both task

80 reptitious use as doping agents by endurance athletes and poorly understood efficacy in Duchenne musc

81 olia fruit, (noni), enhanced performances in athletes and post-menopausal women in clinical studies.

82 national consensus for ECG interpretation in athletes and provides expert opinion-based recommendatio

83 Case studies primarily of athletes and several case-control studies have suggested

84 e-off between maximum speed and endurance in athletes and some animals that has been explained by cos

85 ed differences in LD size and number between athletes and T2DM.

86 o sprint and power performance in both elite athletes and the general population.

87 ardiovascular concerns in collegiate student-athletes and to develop consensus for an interassociatio

88 wards upper airway disorders in the swimming athletes and to ensure adequate management.

89 However, endurance trained athletes and type 2 diabetes mellitus (T2DM) patients st

90 sed incidence of bradyarrhythmias in veteran athletes, and it will be important to understand the und

91 elated cardiac remodeling is not confined to athletes, and there is a risk of overdiagnosing cardiac

92 Athletes are a vulnerable population for methicillin-res

93 Male athletes are more likely to have a CAC score >300 Agatst

94 the particular injuries to which these young athletes are prone.

95 signal and white matter changes in young NFL athletes are related to later onset of neuropsychiatric

96 History has taught us that athletes are subjected to unmonitored trials with experi

97 Aortic root dimensions in healthy elite athletes are within the established limits for the gener

98 isms involved in development of EIB in elite athletes as well as essential aspects to ultimately prop

99 HCN remodeling likely occurs in human athletes, as well as in rodent models.

100 Exemptions containing objective evidence of athlete asthma/airway hyperresponsiveness (AHR) were col

101 heart disease in longshoremen and in college athletes at Harvard University and University of Pennsyl

102 (HCM) from physiological hypertrophy seen in athletes (ATH).

103 g the safety of soccer ball heading (when an athlete attempts to play the ball in the air with his or

104 e common (94%) in selected elite rugby union athletes (back three and centre players) who are most re

105 ussion symptoms were reported in high school athletes (beta = 1.39; 95% CI, 0.55-2.24).

106 interval, 1.01-1.15; P=0.016); 15 (14%) male athletes but none of the controls revealed late gadolini

107 rdiac mass and volumes are often elevated in athletes, but it is not known whether moderate physical

108 Daily intensive exercise by elite athletes can result in exercise-induced asthma especiall

109 sociated with specific risk factors, such as athletes, children, men who have sex with men, prisoners

110 ibes the normal dimensions for healthy elite athletes classified according to sex and dynamic and sta

111 of 206 former National Football League (NFL) athletes compared with 759 male subjects from the DHS-2

112 ons are slightly larger in young competitive athletes compared with sedentary controls, but rarely >4

113 Similarity with memory athlete connectivity patterns predicted memory improveme

114 Decolonization treatment among colonized athletes decreased significantly the risk for infection

115 Male athletes demonstrated predominantly calcific plaques (72

116 diet impairs performance in elite endurance athletes despite a significant improvement in peak aerob

117 the increased longevity typical of endurance athletes despite the presence of more coronary atheroscl

118 However, almost 40% of athletes die at rest, highlighting the need for compleme

119 protocols, athlete training management, and athlete disclosure.

120 prising 530 elite rugby athletes and 559 non-athletes, DNA was collected and genotyped for the FTO rs

121 h (SCD) is the leading cause of mortality in athletes during sport.

122 gy recommendations for ECG interpretation in athletes, ECG standards have evolved quickly over the la

123 diagnostic criteria for ARVC when applied to athletes exhibiting electrocardiographic TWI and to iden

124 l, or functional cardiac differences between athletes exhibiting TWI and athletes without TWI.

125 ion rate for college athletes (3.74 per 1000 athlete exposures) was higher than those for high school

126 ce concussion rate in college (0.53 per 1000 athlete exposures) was lower than that in high school (i

127 hese processes have not been investigated in athletes following a low carbohydrate high fat (LCHF) di

128 s of GLY and GNG increase during exercise in athletes following a mixed macronutrient diet; however,

129 lectrocardiographic (ECG) screening of young athletes for cardiac disease.

130 the network organization that distinguishes athletes from controls.

131 nguishes normal physiological adaptations in athletes from distinctly abnormal findings suggestive of

132 er anthropometry than any previously studied athlete group and for a group known to have elevated rat

133 tted (group 3), 4 to 5 sessions; and Masters athletes (group 4), 6 to 7 sessions plus regular competi

134 and no LGE (group B) and 40 healthy control athletes (group C).

135 in US basketball players compared with other athlete groups.

136 We hypothesized that athletes habitually following a low carbohydrate high fa

137 Male athletes had a higher prevalence of atherosclerotic plaq

138 Overall, 1,072 (21.8%) athletes had an abnormal ECG on the basis of 2010 ESC re

139 ignificantly higher proportion of former NFL athletes had an aorta of >40 mm (29.6% versus 8.6%; P<0.

140 Accordingly, these athletes had greater peak power relative to body mass th

141 African American athletes had increased LV wall thickness (unadjusted mea

142 Athletes had participated in endurance exercise for an a

143 Concussed athletes had significantly elevated levels of quinolinic

144 a population-based control group, former NFL athletes had significantly larger ascending aortic diame

145 to have been potentially identifiable if the athletes had undergone preparticipation screening.

146 embranes in leg muscles of endurance-trained athletes have an increased ratio of surface per mitochon

147 rtension, or coronary heart disease, or even athletes, heart rate lowering consistently increases cen

148 Mean (SD) athlete height was 200.2 (8.8) cm; mean body surface are

149 s are thought to be able to identify at-risk athletes; however, the efficacy of these programs remain

150 2); P<0.001) were significantly increased in athletes in comparison with control subjects.

151 'techno doping') and inclusion of Paralympic athletes in Olympic events are matters of ongoing debate

152 tle objective cognitive impairment in alumni athletes in the context of high subjective complaints an

153 ated performance benefits in elite endurance athletes, in part due to reduced exercise economy.

154 Of the 526 athletes included in the study, 406 (77.2%) were African

155 nuing concern about effects of concussion in athletes, including risk of the neurodegenerative diseas

156 In athletes, indexed cellular mass was greater in high- tha

157 nantly calcific morphology of the plaques in athletes indicates potentially different pathophysiologi

158 te ratio, 1.86; 95% CI, 1.50-2.31) and youth athletes (injury rate ratio, 1.57; 95% CI, 1.17-2.10).

159 sures) was higher than those for high school athletes (injury rate ratio, 1.86; 95% CI, 1.50-2.31) an

160 e surrounding soft tissues that can occur in athletes: intraarticular and extraarticular hip impingem

161 Hip or groin pain in athletes is common and clinical presentation is often no

162 ence of MRSA colonization among asymptomatic athletes is comparable to that among individuals with ch

163 , monitoring the illicit use of rHuEPO among athletes is crucial in ensuring an even playing field an

164 e and cause of sudden cardiac death (SCD) in athletes is debated with hypertrophic cardiomyopathy oft

165 cular evaluation and care of college student-athletes is gaining increasing attention from both the p

166 on long-term health and wellbeing in former athletes is limited.

167 ted, the arrhythmogenic substrate for VTs in athletes is unknown.

168 lates to aortic enlargement in older, former athletes is unknown.

169 The prevalence of LVNC in healthy athletes, its possible reversibility, and increasing dia

170 n (EIB) without asthma (EIBwA ) occurring in athletes led to speculate about different endotypes indu

171 rtery anomalies affected predominantly young athletes (</= 35 years of age), whereas myocardial disea

172 enuous exercise session.Eight male endurance athletes (mean +/- SEM age: 29 +/- 2 y; peak oxygen cons

173 findings may hold important implications for athletes, mountaineers, and soldiers working at high alt

174 tional potential for patients as well as for athletes, musicians and other groups, depends largely on

175 olving elite (n = 101) and nonelite swimming athletes (n = 107), nonswimming athletes (n = 38) and se

176 ite swimming athletes (n = 107), nonswimming athletes (n = 38) and sex- and age-matched controls (n =

177 A cohort of collegiate football athletes (N = 44) participated in this mixed longitudina

178 In a subgroup of rugby athletes (n = 77), we assessed muscle power during a cou

179 Alumni athletes (N=33, aged 34-71 years) and an age-matched sam

180 e for age or luminal stenosis >/=50% in male athletes (odds ratio, 1.08; 95% confidence interval, 1.0

181 st 30 days after injury were larger in youth athletes (odds ratio, 2.75; 95% CI, 1.10- 6.85) and high

182 o, 2.75; 95% CI, 1.10- 6.85) and high school athletes (odds ratio, 2.89; 95% CI, 1.61-5.19).

183 re larger in youth athletes than high school athletes (odds ratio, 6.23; 95% CI, 1.02-37.98).

184 etic cardiac remodeling in these athletes or athletes of similarly increased size.

185 We conclude that athletes on a LCHF diet do not compensate for reduced gl

186 igher rates of glucose synthesis compared to athletes on a mixed diet.

187 garding athletic cardiac remodeling in these athletes or athletes of similarly increased size.

188 UIN at all time points compared with healthy athletes (p's<0.05), with no longitudinal evidence of no

189 iveness (AHR) were collected for all aquatic athletes participating in swimming, diving, synchronized

190 ing musculoskeletal system makes the growing athlete particularly vulnerable to specific types of inj

191 bow pain is a frequent presenting symptom in athletes, particularly athletes who throw.

192 In addition, the 30 athletes performed a maximal exercise test to assess aer

193 Subsequent experiments on elite endurance athletes performing the same HIIT exercise showed no RyR

194 s, but rarely with skeletal muscle and elite athlete phenotypes.

195 strategies include screening of the general athlete population, recommendations of permissible level

196 Compared to T2DM, trained athletes possess higher levels of perilipin 5 (PLIN5), a

197 Athletes presenting with PTWI (n=155) were investigated

198 etic resonance must be considered routine in athletes presenting with PTWI with normal echocardiograp

199 rmine the prevalence of cardiac pathology in athletes presenting with PTWI, and to examine the effica

200 alence of MRSA colonization among collegiate athletes reached 13% (95% CI, 4,25).

201 s significantly higher than for noncolonized athletes (relative risk = 7.37, 95% CI, [2.47,21.94]).

202 All athletes reported no premorbid mood disorders, anxiety d

203 on may have a future role in differentiating athlete's heart from change secondary to cardiomyopathy.

204 tanding the myocardial structural changes in athlete's heart is important to develop tools that diffe

205 Increasing left ventricular mass in athlete's heart occurs because of an expansion of the ce

206 ipid (LD size and number) in relation to the athlete's paradox.

207 nts of lipids in their muscle; the so-called athlete's paradox.

208 f LDs with PLIN5 cannot causally explain the athlete's paradox.

209 e insulin sensitivity and contributes to the athlete's paradox.

210 5 abundance cannot be causally linked to the athlete's paradox.

211 n fatalities have raised questions regarding athlete safety.

212 criteria reduced the cost to $92 and $87 per athlete screened and $30,251 and $28,510 per serious dia

213 These findings have clear implications for athletes seeking a competitive edge.

214 or all testing modalities from 21 adolescent athletes (seven concussive and fourteen healthy) in thre

215 s responsible for the cardiovascular care of athletes should be knowledgeable and competent in ECG in

216 compared with sedentary males, and only male athletes showed a CAC >/=300 Agatston units (11.3%) and

217 injustice of unfair advantage for dishonest athletes, significant potential health risks are associa

218 be to accept that there is a delay from when athletes start experimenting with novel agents to the ti

219 ommendations for ECG interpretation in young athletes state that ATWI beyond lead V1 warrants further

220 mellitus, and lipid profile, the former NFL athletes still had significantly larger ascending aortas

221 lysis of world record performances by master athletes suggests an essentially linear decline with age

222 per 100,000 athlete-years, with 43.8% of the athletes surviving until they were discharged from the h

223 n 24 hours after injury were larger in youth athletes than high school athletes (odds ratio, 6.23; 95

224 pectively; p < 0.0001) and more common among athletes than in nonathletes (3.5% vs. 2.0%, respectivel

225 heart rate was significantly lower in human athletes than in nonathletes, and in all subjects, the r

226 ubstrate for fast VT in high-level endurance athletes that can be successfully treated by ablation.

227 c disorders are associated with SCD in young athletes, the majority of which can be identified or sug

228 Compared with college athletes, the odds of return to play at least 30 days af

229 In the athlete, there is a reduced threshold for imaging to cla

230 different than in the 1950s, but for current athletes, this study provides information on the risk of

231 e sports medicine physician is to return the athlete to competition-balanced against the need to prev

232 ased complementary approach for targeting of athletes to be further tested.

233 Attribution of candidate symptoms in retired athletes to CTE is complicated by the presence of multip

234 This provides a window of opportunity for athletes to exploit with relative immunity.

235 arge international events will expose female athletes to hot environments, and studies evaluating aer

236 for indirect effects caused through enabling athletes to push beyond normal physiological limits with

237 the differences between pediatric and adult athletes to recognize the particular injuries to which t

238 sensitivity, albeit not in endurance-trained athletes (Trained).

239 n concussion-related policies and protocols, athlete training management, and athlete disclosure.

240 Among the competitive athletes, two deaths were attributed to hypertrophic car

241 pooled prevalence of MRSA colonization among athletes was 6% (95% confidence interval [CI], 1,13), an

242 al injury and inflammation in the airways of athletes was demonstrated.

243 documented colonization among MRSA-colonized athletes was significantly higher than for noncolonized

244 When athletes were compared with ARVC patients, markers of ph

245 Fifteen (0.3%) athletes were diagnosed with potentially serious cardiac

246 Left ventricular size and mass in NBA athletes were proportional to body size, extending to th

247 Former NFL athletes were twice as likely to have an aorta >40 mm af

248 with the highest prevalence among collegiate athletes were wrestling (22%; 95% CI, 0,85), football (8

249 Coronary plaques are more abundant in athletes, whereas their stable nature could mitigate the

250 he U.S. National Registry of Sudden Death in Athletes (which uses news media, Internet searches, Lexi

251 eria decrease costs for de novo screening of athletes, which may be cost permissive for some sporting

252 fragmentation in muscles of elite endurance athletes, which may explain why HIIT is less effective i

253 ween 1994 and 2014, 357 consecutive cases of athletes who died suddenly (mean 29 +/- 11 years of age,

254 ailure; there is also a growing concern that athletes who perform extraordinary endurance exercise ma

255 presenting symptom in athletes, particularly athletes who throw.

256 overuse injuries characteristic to pediatric athletes will be discussed.

257 ue in the long jump, which provided the best athlete with BKA a performance advantage of at least 0.1

258 terpretation of Child SCAT3 scores for young athletes with a concussion in athletic and clinical sett

259 Athletes with a lifelong exercise volume >2000 MET-min/w

260 Most lifelong masters endurance athletes with a low atherosclerotic risk profile have no

261 alence of coronary artery disease in masters athletes with a low atherosclerotic risk profile.

262 uth, high school, and college-level football athletes with a mean (SD) of 5.48 (3.06) symptoms.

263 Athletes with abnormal results underwent secondary inves

264 t that due to different movement strategies, athletes with and without BKA should likely compete in s

265 Studies in middle-age and older (masters) athletes with atherosclerotic risk factors for coronary

266 the overall vertical force from both legs of athletes with BKA compared to non-amputees.

267 m intrinsically lower sprinting abilities of athletes with BKA or from more complex adaptions in spri

268 We show that athletes with BKA utilize a different, more effective ta

269 We found slower maximum sprinting speeds in athletes with BKA, but did not find a difference in the

270 Retired athletes with concussion history but without cognitive i

271 Urine samples (91) from athletes with detectable salbutamol (30) and negative sa

272 ovides normative cardiac data for a group of athletes with greater anthropometry than any previously

273 Only a minority of athletes with HCM constitute the conventional gray zone

274 Athletes with HCM exhibit less LVH, larger left ventricu

275 diac parameters from 106 young (14-35 years) athletes with HCM were compared with 101 sedentary HCM p

276 In athletes with HCM, LVH was frequently (36%) confined to

277 characterized the clinical profile of young athletes with HCM.

278 important diagnostic step in the work-up of athletes with hip pain.

279 ns of permissible levels of participation by athletes with identified cardiovascular conditions, and

280 rofile and arrhythmic outcome of competitive athletes with isolated nonischemic left ventricular (LV)

281 ventricular damage in elite endurance master athletes with lifelong high training volumes seems to be

282 At 1-day post-injury, concussed athletes with lower levels of the putatively neuroprotec

283 tion, the left hippocampal volume in retired athletes with MCI and concussion was significantly small

284 or sudden death (n=1), compared with none of athletes with no or LGE spotty pattern and controls.

285 The majority of athletes with no or spotty LGE pattern had ventricular a

286 function in long-term elite master endurance athletes with special focus on the right ventricle by co

287 persistent glial cell activity in brains of athletes with sports-related traumatic brain injury.

288 a follow-up of 38+/-25 months, 6 of 27 (22%) athletes with stria pattern experienced malignant arrhyt

289 All athletes with stria pattern showed ventricular arrhythmi

290 The study population consisted of athletes with TWI (n = 45), athletes without TWI (n = 35

291 cardiac magnetic resonance (group A) with 38 athletes with ventricular arrhythmias and no LGE (group

292 Finally, concussed athletes with worse concussion outcome, defined as numbe

293 most common chronic condition among Olympic athletes, with obvious implications for their competing

294 hieved jump distances similar to world-class athletes without amputations, using a carbon fibre runni

295 ith both control participants (P < .001) and athletes without memory impairment (P < .001).

296 n manifestations of training in asymptomatic athletes without relevant family history.

297 ion consisted of athletes with TWI (n = 45), athletes without TWI (n = 35), and ARVC patients (n = 35

298 ferences between athletes exhibiting TWI and athletes without TWI.

299 ompetitive sports was 0.76 cases per 100,000 athlete-years, with 43.8% of the athletes surviving unti

300 ompetitive sports was 0.76 cases per 100,000 athlete-years.