Recovery–stress imbalance in Australian Football League coaches: A pilot longitudinal study

Kellmann, Michael; Altfeld, Sebastian; Mallett, Clifford J.

doi:10.1080/1612197x.2015.1020662

Cited by 23 publications

(25 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Mallett (2010) indicates that the majority of coaches had previously been engaged in sports as athletes but significantly reduced their physical activity after ending their career. Due to the high physical loads during their active time, coaches barely consider physical activity as a recovery strategy (Kellmann et al, 2016a). Sleep Quality may be considered as a protective but at the same time as a risk factor of burnout.…”

Section: Discussionmentioning

confidence: 99%

Early Risk Detection of Burnout: Development of the Burnout Prevention Questionnaire for Coaches

et al. 2019

Self Cite

View full text Add to dashboard Cite

Introduction: Previous research has shown that burnout develops as the result of a continuous imbalance between chronic stress and appropriate coping resources. Hence, the essential factors to measure burnout encompassed the factors stress and recovery within our studies. However, the Burnout Prevention Questionnaire for Coaches (BPQ-C) does not represent a new questionnaire from scratch, but rather a re-evaluated, condensed, and subsequently combined instrument with scales derived from validated psychometric instruments. Methods: The objective of study 1 ( N = 233) was to create and evaluate the psychometric structure of the BPQ-C. The aim of study 2 ( N = 473) consisted in the validation of the BPQ-C via a Confirmatory Factor Analysis. Results: The Exploratory Factor Analysis resulted in a model with three dimensions (Pre-Burnout, Resources, and Burnout). Via the subsequent Confirmatory Factor Analysis, the model could be confirmed with good fit indices (χ2 = 96.898, df = 19, p < 0.001, CFI = 0.973, SRMR = 0.044, RMSEA = 0.093, LO90 = 0.075, HI90 = 0.112). Conclusion: The BPQ-C includes a number of previously established risk and protective factors within a single psychometric instrument. The systematic application of the BPQ-C can help to detect critical conditions at an early stage in order to derive individualized and beneficial interventions for the respective coaches.

show abstract

Section: Discussionmentioning

confidence: 99%

Early Risk Detection of Burnout: Development of the Burnout Prevention Questionnaire for Coaches

et al. 2019

Self Cite

View full text Add to dashboard Cite

show abstract

“…It is entirely plausible that Sven and Henrik both had 597 a negative recovery-stress balance (Kellman, et al, 2015) and that lack of recovery time, 598 rather than just levels of stress, might have made a significant contribution to their burnout. 599…”

Section: Discussion 568mentioning

confidence: 99%

Desperate to Quit: A Narrative Analysis of Burnout and Recovery in High-Performance Sports Coaching

Olusoga

Kenttä

2017

The Sport Psychologist

View full text Add to dashboard Cite

2Desperate to quit: A narrative analysis of burnout and recovery in high performance 1 sports coaching. 2 Abstract 3This study investigated how the experiences of two elite coaches' contributed to and shaped 4 their stories of burnout and withdrawal from high performance coaching. The coaches whose 5 narratives we explore were both middle-aged head coaches, one in a major team sport at the 6 highest club level, and one in an individual Olympic sport at international level. Through a 7 thematic narrative analysis, based on in-depth interviews, the stories of the two coaches are 8 presented in four distinct sections: antecedents, experiences of coaching with burnout 9 symptoms, withdrawal from sport, and the process of recovery and personal growth. These 10 narratives have implications for high performance coaching, such as the importance of role 11 clarity, work-home inference, counselling, mentoring, and social support as means to 12 facilitate recovery, and the need for additional research with coaches who have left sport, to 13 gain a more comprehensive understanding of the complete burnout-recovery process. 14 15 3

show abstract

“…A recent study followed six professional soccer coaches with the aim to explore the relationship between stress and recovery over a competitive season (Kellmann, Altfeld, & Mallett, 2015). Findings indicated that coaches' stress levels remained stable over the season, but their recovery behavior decreased.…”

Section: Exhaustion Development: a Person-centred Approachmentioning

confidence: 99%

Development of exhaustion for high-performance coaches in association with workload and motivation: A person-centered approach

Bentzen

Lemyre

Kenttä

2016

Psychology of Sport and Exercise

View full text Add to dashboard Cite

This file was dowloaded from the institutional repository Brage NIH -brage.bibsys.no/nih Bentzen, M., Lemyre, N., Kenttä, G. (2016 • Four different trajectories of exhaustion among the coaches were identified; "High" (10%), "Increase" (15%), "Decrease" (4%) and "Low" (71%).• When associating the different trajectories to workload, work-home interference (WHI), recovery, intrinsic and identified regulation, adaptive and maladaptive profiles were identified.• A maladaptive profile corresponded to higher perceived workload and WHI, lower recovery, and intrinsic and identified regulation, when compared to an adaptive profile. EXHAUSTION DEVELOPMENT: A PERSON-CENTRED APPROACH AbstractObjectives: The aim of the current study was twofold. First, to explore whether there were different trajectories of exhaustion among high-performance coaches over the course of a competitive season. Then, to investigate whether workload-related variables and motivational regulations were associated with exhaustion class membership.Methods and design: 299 high-performance coaches responded to an online survey at the start, middle, and end of a competitive season, assessing exhaustion, workload, work home interference (WHI), recovery, and motivational regulations. Latent class growth analyses were used to identify different trajectories of perceived exhaustion. Further, multinomial logistic regression examined class associations for workload-related variables and motivational regulations at the start and at the end of competitive season.Results: Four different trajectories of perceived exhaustion among coaches were identified, termed respectively "High" (10%), "Increase" (15%), "Decrease" (4%) and "Low" (71%).Higher levels of workload and WHI were associated to classes with higher levels of exhaustion. Higher levels of recovery, and intrinsic and identified regulations were associated to classes with lower levels of exhaustion. Adaptive and maladaptive profiles were identified.Conclusions: Different trajectories of exhaustion among high-performance coaches over the course of a competitive season were found. A maladaptive profile was associated with higher perceived workload and WHI, as well as lower levels of recovery, intrinsic and identified regulations, when compared to the adaptive profile.

show abstract

Recovery–stress imbalance in Australian Football League coaches: A pilot longitudinal study

Cited by 23 publications

References 23 publications

Early Risk Detection of Burnout: Development of the Burnout Prevention Questionnaire for Coaches

Early Risk Detection of Burnout: Development of the Burnout Prevention Questionnaire for Coaches

Desperate to Quit: A Narrative Analysis of Burnout and Recovery in High-Performance Sports Coaching

Development of exhaustion for high-performance coaches in association with workload and motivation: A person-centered approach

Contact Info

Product

Resources

About