Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/36115
Appears in Collections:Psychology Journal Articles
Peer Review Status: Refereed
Title: Classifying the non-metabolic demands of different physical activity types: The Physical Activity Demand (PAD) typology
Author(s): Roberts, Christine
Phillips, Louise
Cooper, Clare
Gray, Stuart
Soiza, Roy
Allan, Julia
Contact Email: julia.allan@stir.ac.uk
Issue Date: 19-Oct-2023
Date Deposited: 11-Jul-2024
Citation: Roberts C, Phillips L, Cooper C, Gray S, Soiza R & Allan J (2023) Classifying the non-metabolic demands of different physical activity types: The Physical Activity Demand (PAD) typology. <i>PLOS ONE</i>, 18 (10), p. e0291782. https://doi.org/10.1371/journal.pone.0291782
Abstract: Different physical activity types vary in metabolic demand (intensity), but also in non-metabolic physical demand (balance, co-ordination, speed and flexibility), cognitive demand (attention, memory and decision making), and social demand (social interaction). Activity types with different combinations of demands may have different effects on health outcomes but this cannot be formally tested until such demands can be reliably quantified. The present Delphi expert consensus study aimed to objectively quantify the cognitive, physical and social demands of different core physical activity types and use these scores to create a formal Physical Activity Demand (PAD) typology. International experts (n = 40; experts in cognitive science, psychology, sports science and physiology; 7 different nationalities; 18 male/22 female; M = 13.75 years of disciplinary experience) systematically rated the intrinsic cognitive, physical and social demands of 61 common activity types over 2-rounds of a modified Delphi (expert consensus) study. Consensus (>70% agreement) was reached after 2 rounds on the demands of 59/61 activity types. Cognitive, physical and social demand scores were combined to create an overall non-metabolic demand rating for each activity type, and two-step cluster-analysis was used to identify groups of activities with comparable demand profiles. Three distinct clusters of activities were identified representing activity types with low (n = 12 activities; e.g. domestic cleaning), moderate (n = 23 activities; e.g. tai-chi) and high (n = 24 activities; e.g. football) total non-metabolic demands. These activity types were then organised into a formal typology. This typology can now be used to test hypotheses about if and why physical activity types with different combinations of cognitive, physical and social demands affect health outcomes in different ways.
DOI Link: 10.1371/journal.pone.0291782
Rights: Copyright: © 2023 Roberts et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Licence URL(s): http://creativecommons.org/licenses/by/4.0/

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