ELIZA cgi-bash version rev. 1.91
- Medical English LInking keywords finder for the PubMed Zipped Archive (ELIZA) -

return kwic search for over out of >500 occurrences
295512 occurrences (No.81 in the rank) during 5 years in the PubMed. [cache]
373) Players with asymmetries over 10.65% (mAP), 14.59% (MPP), and 14.96% (mPV) were identified by ROC curves as more likely to be classified as low performers.
--- ABSTRACT ---
PMID:34055168 DOI:10.70252/KXKV2835
2021 International journal of exercise science
* Interlimb Asymmetry Thresholds that Negatively Affect Change of Direction Performance in Collegiate American Football Players.
- Researchers and strength and conditioning practitioners have had an increased interest in the effects of interlimb asymmetries on different aspects of sport performance over the past couple of years. Interlimb asymmetries have been found to negatively affect performance in key performance indicators (KPI) such as jumping, sprinting, and changing directions, within various sports populations. However, there is no consensus about a meaningful threshold at which asymmetries start to negatively affect KPIs or performance. The aim of this study was to investigate a potentially meaningful threshold for three asymmetry metrics (mean peak velocity [mPV], mean peak power [mPP], mean average power [mAP]) that were extracted from the Bulgarian split squat and found to be significantly related to change of direction performance (via L-drill test) within a sample of collegiate American football players. Receiver operating characteristic (ROC) curves were used to identify asymmetry thresholds for all metrics that discriminated between faster and slower performers in the L-drill. Players with asymmetries over 10.65% (mAP), 14.59% (MPP), and 14.96% (mPV) were identified by ROC curves as more likely to be classified as low performers. These findings may be helpful for practitioners interested in screening athletes for interlimb asymmetries that may negatively affect their change of direction performance.
--- ABSTRACT END ---
[
right
kwic]
[frequency of next (right) word to over]
(1)135 the (12)4 other (23)2 50% (34)2 health
(2)61 time (13)3 recent (24)2 59 (35)2 in
(3)37 a (14)3 standard (25)2 60% (36)2 left
(4)17 time, (15)3 three (26)2 IP1 (37)2 longer
(5)12 half (16)3 two (27)2 M1 (38)2 multiple
(6)7 an (17)2 *null* (28)2 age (39)2 of
(7)7 their (18)2 18 (29)2 all (40)2 one
(8)6 10 (19)2 2 (30)2 design (41)2 or
(9)6 and (20)2 20,000 (31)2 existing (42)2 several
(10)4 200 (21)2 3,000 (32)2 extended (43)2 six
(11)4 80% (22)2 40 (33)2 from

add keyword

--- WordNet output for over --- =>1.超えて, 一面に, 移って, 始めから終わりまで, 終わって, を支配して, の間, しながら, 倒れて, の上に, を覆って, を越えて, の向こう側に, より多く, 2.もう一度, 繰り返して Overview of noun over The noun over has 1 sense (no senses from tagged texts) 1. over -- ((cricket) the division of play during which six balls are bowled at the batsman by one player from the other team from the same end of the pitch) Overview of adj over The adj over has 1 sense (first 1 from tagged texts) 1. (21) complete, concluded, ended, over, all over, terminated -- (having come or been brought to a conclusion; "the harvesting was complete"; "the affair is over, ended, finished"; "the abruptly terminated interview") Overview of adv over The adv over has 5 senses (first 3 from tagged texts) 1. (23) over -- (at or to a point across intervening space etc.; "come over and see us some time"; "over there") 2. (2) over -- (throughout an area; "he is known the world over") 3. (1) over, o'er -- (throughout a period of time; "stay over the weekend") 4. over -- (beyond the top or upper surface or edge; forward from an upright position; "a roof that hangs over";) 5. all over, over -- (over the entire area; "the wallpaper was covered all over with flowers"; "she ached all over"; "everything was dusted over with a fine layer of soot") --- WordNet end ---