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Injury in youth football: Prevalenc...

Morano, Peter J.

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Injury in youth football: Prevalence, incidence, and biological risk factors.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Injury in youth football: Prevalence, incidence, and biological risk factors./
作者:	Morano, Peter J.
面頁冊數:	120 p.
附註:	Source: Dissertation Abstracts International, Volume: 64-12, Section: B, page: 6047.
Contained By:	Dissertation Abstracts International64-12B.
標題:	Health Sciences, Recreation. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3116008
ISBN:	0496634441

Injury in youth football: Prevalence, incidence, and biological risk factors.
Morano, Peter J.

Injury in youth football: Prevalence, incidence, and biological risk factors. - 120 p.

Source: Dissertation Abstracts International, Volume: 64-12, Section: B, page: 6047.

Thesis (Ph.D.)--Michigan State University, 2003.

Purpose. To estimate injury rates and examine biological risk factors (height, weight, body mass index, and maturity status) as predictors of injury in a youth football population. Surveys of youth participants generally lack suitable exposure data for practices and competitions to permit estimates of injury rates.

ISBN: 0496634441Subjects--Topical Terms:

1018003
Health Sciences, Recreation.

Injury in youth football: Prevalence, incidence, and biological risk factors.
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245 1 0 $a Injury in youth football: Prevalence, incidence, and biological risk factors.
300 $a 120 p.
500 $a Source: Dissertation Abstracts International, Volume: 64-12, Section: B, page: 6047.
500 $a Adviser: Robert M. Malina.
502 $a Thesis (Ph.D.)--Michigan State University, 2003.
520 $a Purpose. To estimate injury rates and examine biological risk factors (height, weight, body mass index, and maturity status) as predictors of injury in a youth football population. Surveys of youth participants generally lack suitable exposure data for practices and competitions to permit estimates of injury rates.
520 $a Methods. Participants (n = 354, 9--14 years) in two community youth football leagues in mid-Michigan were followed throughout a single season, mid-August through October. Grade in school was the unit of competition. A certified athletic trainer was on sight for practices and home games to record exposure statistics and injuries as they occurred; injuries occurring in road games were reported by coaches and verified the next day by the trainers. Height and weight were recorded at the beginning of the season with which body mass index was calculated. Informed consent from both parents and child were obtained from 296 participants. The informed consent allowed use of the biological parents' heights in order to predict the adult height of the athlete to estimate maturity status. A Risk of Injury in Sport Scale (RISSc) questionnaire was issued to and completed by the participants in order to examine psychological variables and the likelihood of injury. The RISSc questionnaire was composed of 24 questions subdivided into 6 factors (uncontrollable, controllable, upper extremity, surface related, overuse, and reinjury). Also examine was a correlation analysis between the RISSc results and the biological variables.
520 $a Results. Estimated injury rates were significantly higher in 7--8th (1602/1000 athlete exposures) compared to 4--6 th (7.5/1000 athlete exposures) grades (p < 0.001). Injury rates per 1000 athlete exposure (AE) were higher among the 7th (18.2/1000AE) and 8th (17.6/1000AE) grade teams than the 4/5th (8.2/1000AE) and 6th (9.6/1000AE) grade teams. Late maturing individuals in the younger (4th--6th grade) population showed an increased likelihood of injury compared to on-time and late maturing players (p < .05). Having a high body mass index (BMI) was shown to be a predictor of injury in the younger group while the uncontrollable and reinjury RISSc factors were shown to be predictors of injury in the older group.
520 $a Conclusion. Estimated injury rates increase with grade and probably age. Biological variables and a player's perception of risk of injury seem to partially influence the likelihood of being injured. There was no evidence of interactions of internal variables with the likelihood of injury in youth football.
590 $a School code: 0128.
650 4 $a Health Sciences, Recreation. $3 1018003
650 4 $a Biology, Animal Physiology. $3 1017835
690 $a 0575
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710 2 0 $a Michigan State University. $3 676168
773 0 $t Dissertation Abstracts International $g 64-12B.
790 1 0 $a Malina, Robert M., $e advisor
790 $a 0128
791 $a Ph.D.
792 $a 2003
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