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Measuring Recovery: An Adapted Brief Assessment of Mood (BAM+) Compared to Biochemical and Power Output Alterations

Liam Kilduff Orcid Logo

Journal of Science and Medicine in Sport

Swansea University Author: Liam Kilduff Orcid Logo

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DOI (Published version): 10.1016/j.jsams.2016.09.012

Abstract

ObjectivesBiochemical (e.g., creatine kinase (CK)) and neuromuscular (e.g., peak power output (PPO)) markers of recovery are expensive and require specialist equipment. Perceptual measures are an effective alternative, yet most validated scales are too long for daily use.DesignThis study utilises a...

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Published in: Journal of Science and Medicine in Sport
ISSN: 1440-2440
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URI: https://cronfa.swan.ac.uk/Record/cronfa30488
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first_indexed 2016-10-06T19:03:25Z
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spelling 2016-10-06T13:20:14.2886032 v2 30488 2016-10-06 Measuring Recovery: An Adapted Brief Assessment of Mood (BAM+) Compared to Biochemical and Power Output Alterations 972ed9a1dda7a0de20581a0f8350be98 0000-0001-9449-2293 Liam Kilduff Liam Kilduff true false 2016-10-06 STSC ObjectivesBiochemical (e.g., creatine kinase (CK)) and neuromuscular (e.g., peak power output (PPO)) markers of recovery are expensive and require specialist equipment. Perceptual measures are an effective alternative, yet most validated scales are too long for daily use.DesignThis study utilises a longitudinal multi-level design to test an adapted Brief Assessment of Mood (BAM + ), with four extra items and a 100 mm visual analogue scale to measure recovery.MethodsElite under-21 academy soccer players (N = 11) were monitored across five games with data (BAM+, CK and PPO) collected for each game at 24 hours pre, 24 hours and 48 hours post-match. Match activity data for each participant was also collected using GPS monitors on players.ResultsBAM+, CK and PPO had significant (p < .05) linear and quadratic growth curves across time and games that matched the known time reports of fatigue and recovery. Multi-level linear modelling (MLM) with random intercepts for ‘participant’ and ‘game’ indicated only CK significantly contributed to the variance of BAM+ scores (p < .05). Significant correlations (p < .01) were found between changes in BAM+ scores from baseline at 24 and 48 hours post-match for total distance covered per minute, high intensity distance covered per minute, and total number of sprints per minute.ConclusionsVisual and inferential results indicate that the BAM+ appears effective for monitoring longitudinal recovery cycles in elite level athletes. Future research is needed to confirm both the scales reliability and validity. Journal Article Journal of Science and Medicine in Sport 1440-2440 0 0 0 0001-01-01 10.1016/j.jsams.2016.09.012 COLLEGE NANME Sport and Exercise Sciences COLLEGE CODE STSC Swansea University 2016-10-06T13:20:14.2886032 2016-10-06T13:18:56.0848978 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences Liam Kilduff 0000-0001-9449-2293 1 0030488-06102016131957.pdf shearer2016.pdf 2016-10-06T13:19:57.1130000 Output 608574 application/pdf Accepted Manuscript true 2017-10-05T00:00:00.0000000 false
title Measuring Recovery: An Adapted Brief Assessment of Mood (BAM+) Compared to Biochemical and Power Output Alterations
spellingShingle Measuring Recovery: An Adapted Brief Assessment of Mood (BAM+) Compared to Biochemical and Power Output Alterations
Liam Kilduff
title_short Measuring Recovery: An Adapted Brief Assessment of Mood (BAM+) Compared to Biochemical and Power Output Alterations
title_full Measuring Recovery: An Adapted Brief Assessment of Mood (BAM+) Compared to Biochemical and Power Output Alterations
title_fullStr Measuring Recovery: An Adapted Brief Assessment of Mood (BAM+) Compared to Biochemical and Power Output Alterations
title_full_unstemmed Measuring Recovery: An Adapted Brief Assessment of Mood (BAM+) Compared to Biochemical and Power Output Alterations
title_sort Measuring Recovery: An Adapted Brief Assessment of Mood (BAM+) Compared to Biochemical and Power Output Alterations
author_id_str_mv 972ed9a1dda7a0de20581a0f8350be98
author_id_fullname_str_mv 972ed9a1dda7a0de20581a0f8350be98_***_Liam Kilduff
author Liam Kilduff
author2 Liam Kilduff
format Journal article
container_title Journal of Science and Medicine in Sport
institution Swansea University
issn 1440-2440
doi_str_mv 10.1016/j.jsams.2016.09.012
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences
document_store_str 1
active_str 0
description ObjectivesBiochemical (e.g., creatine kinase (CK)) and neuromuscular (e.g., peak power output (PPO)) markers of recovery are expensive and require specialist equipment. Perceptual measures are an effective alternative, yet most validated scales are too long for daily use.DesignThis study utilises a longitudinal multi-level design to test an adapted Brief Assessment of Mood (BAM + ), with four extra items and a 100 mm visual analogue scale to measure recovery.MethodsElite under-21 academy soccer players (N = 11) were monitored across five games with data (BAM+, CK and PPO) collected for each game at 24 hours pre, 24 hours and 48 hours post-match. Match activity data for each participant was also collected using GPS monitors on players.ResultsBAM+, CK and PPO had significant (p < .05) linear and quadratic growth curves across time and games that matched the known time reports of fatigue and recovery. Multi-level linear modelling (MLM) with random intercepts for ‘participant’ and ‘game’ indicated only CK significantly contributed to the variance of BAM+ scores (p < .05). Significant correlations (p < .01) were found between changes in BAM+ scores from baseline at 24 and 48 hours post-match for total distance covered per minute, high intensity distance covered per minute, and total number of sprints per minute.ConclusionsVisual and inferential results indicate that the BAM+ appears effective for monitoring longitudinal recovery cycles in elite level athletes. Future research is needed to confirm both the scales reliability and validity.
published_date 0001-01-01T03:37:04Z
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score 11.036706

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