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In
our last issue, we asked authors who submitted articles to Tom
Fahey's Encyclopedia of Sports
Medicine and Science to update their articles before publication,
since many had been written several years ago. We provided
instructions and an
authortemplate to streamline the process. Anthony Hackney, the
first author to follow the revised policy, provides a clinical
discussion of how endurance training affects testosterone in
Testosterone and
Reproductive Dysfunction in Endurance-Trained Men.
Andy Stewart and Hideki
Takagi report on the VIII International Symposium of Biomechanics and
Medicine in Swimming, held in Jyvaskyla, Finland.
Making a Splash highlights research on
drafting, underwater pace-maker lights, reducing drag, and adds to
the intensity vs volume debate.
Ferret uncovers coaching challenges with a statistical analysis of a team's basketball season, research taking place during the Hawaii Ironman, the skills necessary for successful baseball players, and health concerns over supplementing with androstenedione. Share your interest in a news item with others: send a paragraph or two to ferret=AT=sportsci.org.
In Frank Katch's latest History Maker you can read how Russel Henry Chittenden pursued his curiosity about the taste of leftover scallops. His scientific curiosity led to research refocusing attention on minimum protein requirement. Chittenden’s experiments showed that normal and athletic young men did not experience weakness on low protein diet, and that even without a large protein intake, individuals could maintain their health and fitness.
Ken Daley's newsletter has an item on efforts to introduce online peer review for scholarly works in electronic journals. Links to faculty worldwide who are using the Web to deliver class materials, a sport website featuring physically disabled athletes, and many other items are in his column.
Stats programs often give only p values when you
analyze your data, yet confidence intervals are much better for
generalizing from your sample to a population. In
A New View of
Statistics, Will Hopkins provides an amazingly simple but
effective way to
convert a p value
into confidence limits. It works for any difference
between means (the analyses we do most of the time), and for any
other normally distributed statistic. He's put it into a
spreadsheet,
along with methods to generate confidence limits for correlations,
standard deviations, and measures of reliability.
A special welcome to Tony Hackney at the University of
North Carolina at Chapel Hill, who joins us as a member of the
Sportscience Team. Tony's already been active as one of the
first Encylopedia authors to update and publish an article under our
revised encylopedia policy. Thanks, Tony, for jumping on board
and raising the sail.