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InTrack project - Theoretical framework, design, and methods: A study protocol.

Mabliny Thuany1, Thayse Natacha Gomes2,3,4, Katja Weiss5,6

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Summary
This summary is machine-generated.

This study introduces the InTrack Project, investigating how individual and environmental factors influence running performance across different countries. It aims to identify key variables at micro, meso, and macro levels that predict performance variations.

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Area of Science:

  • Sports Science
  • Environmental Psychology

Background:

  • Sports performance arises from complex interactions between athlete characteristics and environmental influences.
  • Understanding cross-cultural performance variations requires examining multi-level factors.

Purpose of the Study:

  • To detail the methodology of the InTrack Project, a cross-sectional, cross-cultural study.
  • To investigate how micro-level (athlete), meso-level (proximal environment), and macro-level (country) factors influence running performance.
  • To identify variables that explain performance differences within and between countries.

Main Methods:

  • Cross-sectional, cross-cultural research design.
  • Data collection via online surveys for individual information and secondary data for country-level variables.
  • Planned statistical analyses include multilevel analysis, latent class analysis, and regression models.

Main Results:

  • The study is designed to collect comprehensive data on individual and country-level factors.
  • Anticipates identifying significant predictors of running performance across different environmental contexts.
  • Aims to bridge existing gaps in understanding multi-level influences on athletic achievement.

Conclusions:

  • The InTrack Project will provide novel insights into the determinants of running performance.
  • Findings will offer scientific evidence on environmental characteristics crucial for predicting runner performance.
  • The research will contribute to a more holistic understanding of sports science and performance optimization.