Systems thinking as a novel framework to study overuse injuries in endurance running
| dc.contributor.advisor | Grobbelaar, Sara S. | en_ZA |
| dc.contributor.advisor | Botha, Adele | en_ZA |
| dc.contributor.author | Vermeulen, Euodia | en_ZA |
| dc.contributor.other | Stellenbosch University. Faculty of Engineering. Dept. of Industrial Engineering. | en_ZA |
| dc.date.accessioned | 2021-01-28T09:24:44Z | |
| dc.date.accessioned | 2021-04-21T14:26:06Z | |
| dc.date.available | 2021-01-28T09:24:44Z | |
| dc.date.available | 2021-04-21T14:26:06Z | |
| dc.date.issued | 2021-03 | |
| dc.description | Thesis (PhD)--Stellenbosch University, 2021. | en_ZA |
| dc.description.abstract | ENGLISH ABSTRACT: The chronicity of running related overuse injuries is problematic. Scholars have begun question-ing whether the mainstream, reductionist approach to understand the causes behind overuseinjuries and interventions to address them, are effective towards healthier athletes. The mainaim of this thesis is to describe, develop and evaluate an alternative model to the more tra-ditional, reductionist framework for the management of complex sport phenomena, with aparticular focus on running related overuse injuries in the lifestyle and/or recreational runner.Although the systems thinking methodology is diffusing into sport science, the majority of workis of a qualitative nature. Following a design science research methodology, a systems think-ing framework was developed as an artefact that is pragmatic, to instantiate systems thinkingthrough computational modelling in sport. The research question is: How can systems thinking and data-driven computational modelling enhance themanagement and prevention of overuse injuries?The systems thinking methodology, simulation modelling and data mining inform the designscience research approach at various phases to complete the artefact. The framework consistsof two main parts to incorporate both qualitative and quantitative aspects. The concept ofthe runner as a complex adaptive system, is introduced and is first described qualitativelythrough systems thinking tools (mainly the ice-berg model and the causal loop diagram) asthe combined biomechanical and physiological micro-systems of the runner and their physical,spatio-temporal environment. The qualitative description is transformed to a practical, hybridsimulation model, consisting of an agent-based modelling component that drives a systemdynamics component. The transition from linear, cause-effect thinking to closed-loop, dynamiccausal thinking was facilitated through the hybrid simulation model. The data parameterisingthe simulation model are mined from recreational athletes’ running watches. Through thesimulation, it was possible to show empirically how fundamental solutions and respecting the delays inherent to the runner as a complex adaptive system delivers an athlete who is bothfit and healthy. The systems thinking framework supports the notion that both analytical,reductionist thinking and synthetical thinking is required to better understand complex sportinjuries at different levels. | en_ZA |
| dc.description.abstract | AFRIKAANSE OPSOMMING: OpsommingHardloop-verwante oorgebruik beserings is steeds′n chroniese probleem in sport. Die hoof-stroom, reduksionistiese aanslag tot die ontleding en ingryping van oorgerbuik beserings is on-langs in twyfel getrek deur geleerdes en kenners in die veld. Is hierdie aanslag werklik effektieftot gesonder, fikser atlete? Die hoofdoel van hierdie proefskrif is om′n alternatiewe raamwerk,waarin komplekse sportsverwante verskynsels bestuur kan word, te beskryf, te ontwikkel, ente evalueer. Die fokus is op die hardloop-verwante oorgebruik beserings in die lewenstyl- ofontspanningsatleet. Die navorsingsvraag is:Hoe kan stelseldenke en rekenaarmodellering bydra tot die bestuur en voorkomingvan oorgebruik beserings?Die stelseldenke metodiek is wel besig om in die sportswetenskapliteratuur te versprei, maar dieoorwegende hoeveelheid werk is van′n kwalitatiewe aard. Deur die ontwerpswetenskap metodiekte volg is′n stelseldenkeraamwerk as′n artefak ontwikkel wat pragmaties is om stelseldenkedeur middel van rekenaarmodellering te instansieer. Die metodes van stelseldenke, simulasiemodellering, en data-ontginning vloei by die verskeie ontwerpswetenskap metodiek fases in omdie artefak te voltooi. Die nuwe raamwerk bestaan uit twee dele sodat beide die kwalitatiewe enkwantitatiewe aspekte betrek word. Die konsep, die hardloper as′n kompleks, maar aanpasbarestelsel, word bekend gestel deur eers kwalitatief beskryf te word deur stelseldenke metodes (spe-sifiek die ysberg model en die oorsaakskringloop diagram) as die gekombineerde biomeganiese enfisiologiese mikro-stelsels van die hardloper en hul fisiese, ruimte-tydelike omgewing. Die kwal-itatiewe beskrywing word opgevolg met′n omskakeling na′n praktiese, saamgestelde simulasiemodel, wat bestaan uit′n agent-gebaseerde komponent en′n stelseldinamika komponent. Dieoorgang vanaf lineˆere, oorsaak-gevolg denke na geslote kringloop, oorsaaklikheidsdenke worddeur die saamgestelde simulasie model gefasiliteer. Die parameters in die simulasie model wordgedryf deur die data van atlete se hardlopershorlosies te ontgin en te analiseer. Die simulasie konbewys dat fundamentele oplossings tot oorgebruik beserings, en om die inherente vertragingsin die fisiologie van die hardloper te respekteer, beter langer termyn uitkomstes het as kort-stondige oplossings wat op simptome fokus. Die stelseldenkeraamwerk ondersteun die standpuntdat beide analitiese, reduksionistiese denke en sintetiese denke op verskeie stelselsvlakke nodigis om komplekse sportsprobleme te verstaan en op te los. | af_ZA |
| dc.description.version | Doctoral | en_ZA |
| dc.format.extent | 326 pages | en_ZA |
| dc.identifier.uri | http://hdl.handle.net/10019.1/109782 | |
| dc.language.iso | en_ZA | en_ZA |
| dc.publisher | Stellenbosch : Stellenbosch University | en_ZA |
| dc.rights.holder | Stellenbosch University | en_ZA |
| dc.subject | Systems science | en_ZA |
| dc.subject | Agent-based model (Computer software) | en_ZA |
| dc.subject | Sports sciences | en_ZA |
| dc.subject | Overuse injuries | en_ZA |
| dc.subject | Data mining | en_ZA |
| dc.subject | UCTD | en_ZA |
| dc.subject | Endurance sports | en_ZA |
| dc.title | Systems thinking as a novel framework to study overuse injuries in endurance running | en_ZA |
| dc.type | Thesis | en_ZA |