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Strohacker K, Sudeck G, Keegan R, Ibrahim AH, Beaumont CT. Contextualising flexible nonlinear periodization as a person-adaptive behavioral model for exercise maintenance. Health Psychol Rev 2024; 18:285-298. [PMID: 37401403 DOI: 10.1080/17437199.2023.2233592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 06/30/2023] [Indexed: 07/05/2023]
Abstract
There is a growing focus on developing person-adaptive strategies to support sustained exercise behaviour, necessitating conceptual models to guide future research and applications. This paper introduces Flexible nonlinear periodisation (FNLP) - a proposed, but underdeveloped person-adaptive model originating in sport-specific conditioning - that, pending empirical refinement and evaluation, may be applied in health promotion and disease prevention settings. To initiate such efforts, the procedures of FNLP (i.e., acutely and dynamically matching exercise demand to individual assessments of mental and physical readiness) are integrated with contemporary health behaviour evidence and theory to propose a modified FNLP model and to show hypothesised pathways by which FNLP may support exercise adherence (e.g., flexible goal setting, management of affective responses, and provision of autonomy/variety-support). Considerations for future research are also provided to guide iterative, evidence-based efforts for further development, acceptability, implementation, and evaluation.
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Affiliation(s)
- Kelley Strohacker
- Department of Kinesiology, Recreation, and Sport Studies, The University of Tennessee, Knoxville, Knoxville, TN, USA
| | - Gorden Sudeck
- Institute of Sport Science, Eberhard Karls University of Tübingen, Tübingen, Germany
- Interfacultary Research Institute for Sports and Physical Activity, University of Tübingen, Tübingen, Germany
| | - Richard Keegan
- Research Institute for Sport and Exercise, Faculty of Health, University of Canberra, Canberra, Australia
| | - Adam H Ibrahim
- Department of Kinesiology, Recreation, and Sport Studies, The University of Tennessee, Knoxville, Knoxville, TN, USA
| | - Cory T Beaumont
- Department of Allied Health, Sport, and Wellness, Baldwin Wallace University, Berea, OH, USA
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Ibrahim AH, Beaumont CT, Strohacker K. Implementing Meta-Session Autoregulation Strategies for Exercise - A Scoping Review. INTERNATIONAL JOURNAL OF EXERCISE SCIENCE 2024; 17:382-404. [PMID: 38665139 PMCID: PMC11042849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/28/2024]
Abstract
Meta-session autoregulation, a person-adaptive form of exercise prescription that adjusts training variables according to daily fluctuations in performance considering an individual's daily fitness, fatigue, and readiness-to-exercise is commonly used in sports-related training and may be beneficial for non-athlete populations to promote exercise adherence. To guide refinement of meta-session autoregulation, it is crucial to examine the existing literature and synthesize how these procedures have been practically implemented. Following PRIMSA guidelines a scoping review of two databases was conducted from August 2021 to September 2021 to identify and summarize the selected measures of readiness-to-exercise and decision-making processes used to match workload to participants in meta-session autoregulatory strategies, while also evaluating the methodological quality of existing study designs using a validated checklist. Eleven studies reported utilizing a form of meta-session autoregulation for exercise. Primary findings include: (i) readiness-to-exercise measures have been divided into either objective or subjective measures, (ii) measures of subjective readiness measures lacked evidence of validity, and (iii) fidelity to autoregulatory strategies was not reported. Results of the risk of bias assessment indicated that 45% of the studies had a poor-quality score. Existing implementations of meta-session autoregulation are not directly translatable for use in health promotion and disease prevention settings. Considerable refinement research is required to optimize this person-adaptive strategy prior to estimating effects related to exercise adherence and/or health and fitness outcomes. Based on the methodological deficits uncovered, researchers implementing autoregulation strategies would benefit reviewing existing models and frameworks created to guide behavioral intervention development.
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Affiliation(s)
- Adam H Ibrahim
- Department of Kinesiology, Recreation, and Sport Studies, The University of Tennessee, Knoxville, TN, USA
| | - Cory T Beaumont
- College of Education and Health Sciences, Baldwin Wallace University, Berea, OH, USA
| | - Kelley Strohacker
- Department of Kinesiology, Recreation, and Sport Studies, The University of Tennessee, Knoxville, TN, USA
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Keegan RJ, Flood A, Niyonsenga T, Welvaert M, Rattray B, Sarkar M, Melberzs L, Crone D. Development and Initial Validation of an Acute Readiness Monitoring Scale in Military Personnel. Front Psychol 2021; 12:738609. [PMID: 34867619 PMCID: PMC8636321 DOI: 10.3389/fpsyg.2021.738609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 10/15/2021] [Indexed: 11/13/2022] Open
Abstract
Personnel in many professions must remain “ready” to perform diverse activities. Managing individual and collective capability is a common concern for leadership and decision makers. Typical existing approaches for monitoring readiness involve keeping detailed records of training, health and equipment maintenance, or – less commonly – data from wearable devices that can be difficult to interpret as well as raising privacy concerns. A widely applicable, simple psychometric measure of perceived readiness would be invaluable in generating rapid evaluations of current capability directly from personnel. To develop this measure, we conducted exploratory factor analysis and confirmatory factor analysis with a sample of 770 Australian military personnel. The 32-item Acute Readiness Monitoring Scale (ARMS) demonstrated good model fit, and comprised nine factors: overall readiness; physical readiness; physical fatigue; cognitive readiness; cognitive fatigue; threat-challenge (i.e., emotional/coping) readiness; skills-and-training readiness; group-team readiness, and equipment readiness. Readiness factors were negatively correlated with recent stress, current negative affect and distress, and positively correlated with resilience, wellbeing, current positive affect and a supervisor’s rating of solider readiness. The development of the ARMS facilitates a range of new research opportunities: enabling quick, simple and easily interpreted assessment of individual and group readiness.
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Affiliation(s)
- Richard James Keegan
- Research Institute for Sport and Exercise, Faculty of Health, University of Canberra, Canberra, ACT, Australia.,Faculty of Health, University of Canberra, Canberra, ACT, Australia
| | - Andrew Flood
- Research Institute for Sport and Exercise, Faculty of Health, University of Canberra, Canberra, ACT, Australia.,Faculty of Health, University of Canberra, Canberra, ACT, Australia
| | - Theo Niyonsenga
- Faculty of Health, University of Canberra, Canberra, ACT, Australia.,Health Research Institute, University of Canberra, Canberra, ACT, Australia
| | | | - Ben Rattray
- Research Institute for Sport and Exercise, Faculty of Health, University of Canberra, Canberra, ACT, Australia.,Faculty of Health, University of Canberra, Canberra, ACT, Australia
| | - Mustafa Sarkar
- School of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom
| | | | - David Crone
- Department of Defence, Australian Government, Edinburgh, SA, Australia
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