Relationship Between Body Mass, Peak Power, and Power-to-Body Mass Ratio on Sprint Velocity and Momentum in High-School Football Players

An examination of the heights and weights of members of the Parade Magazine's High School All-American Football Teams from 1963–1971 indicates no significant changes in the Body Mass Index of these elite athletes whereas an increased pattern in Body Mass Index was noted within this group from 1972–1989. The large increases in Body Mass Index after 1971 among the All-American high school football players raise interesting research questions; in particular, what portion of these gains can be attributed to improved nutrition and training techniques and what portion is the result of use of performance enhancing drugs such as anabolic steroids?

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Carrying the Weight: Athletics and Obesity in High School Football Players

Clinical Pediatrics ◽

10.1177/0009922819850495 ◽

2019 ◽

Vol 58 (13) ◽

pp. 1409-1414

Author(s):

Joshua N. Berkowitz ◽

Asheley Cockrell Skinner ◽

Jacob A. Lohr

Keyword(s):

High School ◽

Body Mass Index ◽

Body Mass ◽

Team Sports ◽

Football Players ◽

Healthy Weight ◽

High School Athletes ◽

High School Football ◽

Prevalence Of Obesity

This article determines the prevalence of obesity among high school football players nationwide and compares obesity between position groups of football players and across team sports. We calculate body mass index (BMI) for 391 212 males participating in baseball, basketball, football, lacrosse, and soccer, then stratify BMI into commonly accepted categories and subdivide football players by position played, comparing BMI across position groups and sports. A total of 47.4% of high school football players are healthy weight (BMI = 18.5-24.9 kg/m2), 18.0% have obesity (BMI = 30-34.9 kg/m2: 12.4%) or class 2 obesity (BMI >34.9 kg/m2: 5.6%). Among linemen, 14.8% are healthy weight, 14.6% have class 2 obesity, and another 29.3% have obesity. Among non-linemen, the combined prevalence of obesity and class 2 obesity is 2.7%, comparable to other team sports. Obesity is common among high school football players, more so than among other high school athletes. Obesity and class 2 obesity are only common among linemen.

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Risk Factors for Noncontact Ankle Sprains in High School Football Players: The Role of Previous Ankle Sprains and Body Mass Index

Yearbook of Sports Medicine ◽

10.1016/s0162-0908(08)70065-5 ◽

2007 ◽

Vol 2007 ◽

pp. 62-63

Author(s):

P. McCrory

Keyword(s):

Risk Factors ◽

High School ◽

Body Mass Index ◽

Body Mass ◽

Football Players ◽

Ankle Sprains ◽

High School Football

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Physical and Performance Characteristics of Successful High School Football Players

The American Journal of Sports Medicine ◽

10.1177/036354659402200621 ◽

1994 ◽

Vol 22 (6) ◽

pp. 859-862 ◽

Cited By ~ 10

Author(s):

Henry N. Williford ◽

Jane Kirkpatrick ◽

Michele Scharff-Olson ◽

Daniel L. Blessing ◽

Nai Zhen Wang

Keyword(s):

High School ◽

Performance Characteristics ◽

Football Players ◽

High School Football ◽

And Performance

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Athletic Scholarships in Intercollegiate Football

Journal of Sports Economics ◽

10.1177/1527002511409239 ◽

2011 ◽

Vol 13 (5) ◽

pp. 515-535 ◽

Cited By ~ 4

Author(s):

Joshua D. Pitts ◽

Jon Paul Rezek

Keyword(s):

High School ◽

Intercollegiate Athletics ◽

Negative Binomial ◽

Negative Relationship ◽

Field Performance ◽

The United States ◽

Football Players ◽

High School Football ◽

Football Coaches ◽

Athletic Scholarships

Despite the financial and cultural importance of intercollegiate athletics in the United States, there is a paucity of research into how athletic scholarships are awarded. In this article, the authors empirically examine the factors that universities use in their decision to offer athletic scholarships to high school football players. Using a Zero-Inflated Negative Binomial (ZINB) model, the authors find a player’s weight, height, body mass index (BMI), race, speed, on-the-field performance, and his high school team’s success often have large and significant impacts on the number of scholarship offers he receives. There is also evidence of a negative relationship between academic performance and scholarship offers. In addition, the authors find evidence of a scholarship premium for players from Florida and Texas. The results also show that running backs, wide receivers, and defensive backs appear to generate the most attention from college football coaches, other things equal.

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