Literature DB >> 34519982

Development of a Revised Conceptual Framework of Physical Training for Use in Research and Practice.

Annie C Jeffries1, Samuele M Marcora2,3, Aaron J Coutts4, Lee Wallace4, Alan McCall4,5, Franco M Impellizzeri4.   

Abstract

A conceptual framework has a central role in the scientific process. Its purpose is to synthesize evidence, assist in understanding phenomena, inform future research and act as a reference operational guide in practical settings. We propose an updated conceptual framework intended to facilitate the validation and interpretation of physical training measures. This revised conceptual framework was constructed through a process of qualitative analysis involving a synthesis of the literature, analysis and integration with existing frameworks (Banister and PerPot models). We identified, expanded, and integrated four constructs that are important in the conceptualization of the process and outcomes of physical training. These are: (1) formal introduction of a new measurable component 'training effects', a higher-order construct resulting from the combined effect of four possible responses (acute and chronic, positive and negative); (2) explanation, clarification and examples of training effect measures such as performance, physiological, subjective and other measures (cognitive, biomechanical, etc.); (3) integration of the sport performance outcome continuum (from performance improvements to overtraining); (4) extension and definition of the network of linkages (uni and bidirectional) between individual and contextual factors and other constructs. Additionally, we provided constitutive and operational definitions, and examples of theoretical and practical applications of the framework. These include validation and conceptualization of constructs (e.g., performance readiness), and understanding of higher-order constructs, such as training tolerance, when monitoring training to adapt it to individual responses and effects. This proposed conceptual framework provides an overarching model that may help understand and guide the development, validation, implementation and interpretation of measures used for athlete monitoring.
© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

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Year:  2021        PMID: 34519982     DOI: 10.1007/s40279-021-01551-5

Source DB:  PubMed          Journal:  Sports Med        ISSN: 0112-1642            Impact factor:   11.928


  62 in total

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2.  A structural approach to selection bias.

Authors:  Miguel A Hernán; Sonia Hernández-Díaz; James M Robins
Journal:  Epidemiology       Date:  2004-09       Impact factor: 4.822

Review 3.  Physiological assessment of aerobic training in soccer.

Authors:  Franco M Impellizzeri; Ermanno Rampinini; Samuele M Marcora
Journal:  J Sports Sci       Date:  2005-06       Impact factor: 3.337

4.  Four types of effect modification: a classification based on directed acyclic graphs.

Authors:  Tyler J VanderWeele; James M Robins
Journal:  Epidemiology       Date:  2007-09       Impact factor: 4.822

Review 5.  Test validation in sport physiology: lessons learned from clinimetrics.

Authors:  Franco M Impellizzeri; Samuele M Marcora
Journal:  Int J Sports Physiol Perform       Date:  2009-06       Impact factor: 4.010

6.  Illustrating bias due to conditioning on a collider.

Authors:  Stephen R Cole; Robert W Platt; Enrique F Schisterman; Haitao Chu; Daniel Westreich; David Richardson; Charles Poole
Journal:  Int J Epidemiol       Date:  2009-11-19       Impact factor: 7.196

7.  The role of conceptual frameworks in epidemiological analysis: a hierarchical approach.

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8.  Team Logo Predicts Concussion Risk: Lessons in Protecting a Vulnerable Sports Community from Misconceived, but Highly Publicized Epidemiologic Research.

Authors:  James M Smoliga; Gerald S Zavorsky
Journal:  Epidemiology       Date:  2017-09       Impact factor: 4.822

9.  Patient-reported outcomes: conceptual issues.

Authors:  Margaret L Rothman; Philippe Beltran; Joseph C Cappelleri; Joseph Lipscomb; Bonnie Teschendorf
Journal:  Value Health       Date:  2007 Nov-Dec       Impact factor: 5.725

Review 10.  Validity of instruments to measure physical activity may be questionable due to a lack of conceptual frameworks: a systematic review.

Authors:  Elena Gimeno-Santos; Anja Frei; Fabienne Dobbels; Katja Rüdell; Milo A Puhan; Judith Garcia-Aymerich
Journal:  Health Qual Life Outcomes       Date:  2011-10-03       Impact factor: 3.186

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  5 in total

Review 1.  Submaximal Fitness Tests in Team Sports: A Theoretical Framework for Evaluating Physiological State.

Authors:  Tzlil Shushan; Shaun J McLaren; Martin Buchheit; Tannath J Scott; Steve Barrett; Ric Lovell
Journal:  Sports Med       Date:  2022-07-11       Impact factor: 11.928

2.  Understanding 'monitoring' data-the association between measured stressors and athlete responses within a holistic basketball performance framework.

Authors:  Richard A J Mercer; Jennifer L Russell; Lauren C McGuigan; Aaron J Coutts; Donnie S Strack; Blake D McLean
Journal:  PLoS One       Date:  2022-06-24       Impact factor: 3.752

3.  Are Measurement Instruments Responsive to Assess Acute Responses to Load in High-Level Youth Soccer Players?

Authors:  Ludwig Ruf; Barry Drust; Paul Ehmann; Sabrina Skorski; Tim Meyer
Journal:  Front Sports Act Living       Date:  2022-07-01

4.  The Current State of Subjective Training Load Monitoring: Follow-Up and Future Directions.

Authors:  Joseph O C Coyne; Aaron J Coutts; Robert U Newton; G Gregory Haff
Journal:  Sports Med Open       Date:  2022-04-15

5.  Acute Neuromuscular and Hormonal Responses to Power, Strength, and Hypertrophic Protocols and Training Background.

Authors:  Johanna Kotikangas; Simon Walker; Sara Toivonen; Heikki Peltonen; Keijo Häkkinen
Journal:  Front Sports Act Living       Date:  2022-07-14
  5 in total

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