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Gender and Age Patterns in NSGA Swim Competitions
David P Doane1, Lori E Seward2, Kevin Murphy3
1Department of Decision and Information Sciences, Oakland University, Rochester, MI 49309, USA.
Journal of Aging Research
|July 28, 2022
Summary
Senior swimmers slow down nonlinearly with age, with women experiencing a faster decline than men after 50. This study analyzed National Senior Games data to inform training and promote healthy aging.
Area of Science:
- Sports Science
- Gerontology
- Biostatistics
Background:
- Swimming performance naturally declines with age.
- Understanding age-related performance changes is crucial for senior athletes.
- Previous studies focused on elite swimmers, leaving a gap in senior competition data.
Purpose of the Study:
- To model the time-age relationship in senior freestyle swimming.
- To compare performance decline between male and female senior swimmers.
- To provide data-driven guidelines for senior competitors and support organizations.
Main Methods:
- Analysis of 500-yard freestyle swim times from National Senior Games (2009-2019).
- Estimation of nonlinear models (quadratic, semilog, exponential) for age-related performance.
- Application of Ordinary Least Squares (OLS) and quantile regression for gender-specific analysis.
Main Results:
- The semilog model provided the best fit for predicting swim times.
- Women demonstrated a faster performance decline than men after age 50.
- Nonlinear performance decrements were observed, consistent with elite swimmer studies.
Conclusions:
- Swimming performance decline in seniors is nonlinear and gender-specific.
- Findings support the hypothesis of a more rapid decline in women post-50.
- This research offers valuable insights for senior athletes, coaches, and organizations promoting active aging.
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