Segmentation of fitness users based on health consciousness: implications for digital sport management

The present study examines the role of digital fitness applications in promoting health consciousness and their relationship with users’ physical activity habits. The objective was to analyse the factors influencing app usage among fitness centre users with a focus on health consciousness, utilising...

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Autores: Angosto, Salvador, García Fernández, Jerónimo, Chavarrías, Manuel, Grimaldi Puyana, Moisés
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/179670
Acceso en línea:https://hdl.handle.net/11441/179670
https://doi.org/10.1007/s11135-025-02128-4
Access Level:acceso abierto
Palabra clave:Use behaviour
App use
Need of interaction
Stage of change
UTAUT2
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spelling Segmentation of fitness users based on health consciousness: implications for digital sport managementAngosto, SalvadorGarcía Fernández, JerónimoChavarrías, ManuelGrimaldi Puyana, MoisésUse behaviourApp useNeed of interactionStage of changeUTAUT2The present study examines the role of digital fitness applications in promoting health consciousness and their relationship with users’ physical activity habits. The objective was to analyse the factors influencing app usage among fitness centre users with a focus on health consciousness, utilising segmentation analysis and exploring its connection to the stages of change in the Transtheoretical Model. The methodology involved a convenience sampling method with a final sample of 390 fitness centre users. The data collection wasvia online surveys measuring variables such as demographic details, sports habits, and app usage patterns derived from the Unified Theory of Acceptance and Use of Technology with a total of 50 items divided in 14 factors. The cluster analysis identified three health consciousness profiles: “Optimal Consciousness”, “Preventive Consciousness”, and “Active Consciousness”. The results revealed that users classified as “Optimal Consciousness” exhibited the highest levels of well-being and health consciousness, with superior scores in facilitating conditions and self-efficacy. In contrast, “Active Consciousness” users demonstrated moderate health consciousness and were more likely to invest in app premium features. Significant differences were observed in physical activity frequency, duration, and education levels across clusters. Regression analysis indicated that facilitating conditions and exercise intention positively influenced health consciousness, whereas actual app usage exerted a negative influence. The practical implications suggest that app developers should simplify functionalities and incorporate educational tools, while fitness centres should integrate human interaction with digital tools to support users at lower stages of health consciousness. The role of sports professionals is particularly critical in enhancing app adoption and guiding users towards optimal health consciousness and regular physical activitySpringerEducación Física y DeporteSEJ525: Gestión e Innovación en Servicios Deportivos, Ocio y RecreaciónSEJ525: Gestión e Innovación en Servicios Deportivos, Ocio y Recreación2025info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/179670https://doi.org/10.1007/s11135-025-02128-4reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésQuality & Quantity, 1-20.https://doi.org/10.1007/s11135-025-02128-4info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1796702026-06-17T12:51:07Z
dc.title.none.fl_str_mv Segmentation of fitness users based on health consciousness: implications for digital sport management
title Segmentation of fitness users based on health consciousness: implications for digital sport management
spellingShingle Segmentation of fitness users based on health consciousness: implications for digital sport management
Angosto, Salvador
Use behaviour
App use
Need of interaction
Stage of change
UTAUT2
title_short Segmentation of fitness users based on health consciousness: implications for digital sport management
title_full Segmentation of fitness users based on health consciousness: implications for digital sport management
title_fullStr Segmentation of fitness users based on health consciousness: implications for digital sport management
title_full_unstemmed Segmentation of fitness users based on health consciousness: implications for digital sport management
title_sort Segmentation of fitness users based on health consciousness: implications for digital sport management
dc.creator.none.fl_str_mv Angosto, Salvador
García Fernández, Jerónimo
Chavarrías, Manuel
Grimaldi Puyana, Moisés
author Angosto, Salvador
author_facet Angosto, Salvador
García Fernández, Jerónimo
Chavarrías, Manuel
Grimaldi Puyana, Moisés
author_role author
author2 García Fernández, Jerónimo
Chavarrías, Manuel
Grimaldi Puyana, Moisés
author2_role author
author
author
dc.contributor.none.fl_str_mv Educación Física y Deporte
SEJ525: Gestión e Innovación en Servicios Deportivos, Ocio y Recreación
SEJ525: Gestión e Innovación en Servicios Deportivos, Ocio y Recreación
dc.subject.none.fl_str_mv Use behaviour
App use
Need of interaction
Stage of change
UTAUT2
topic Use behaviour
App use
Need of interaction
Stage of change
UTAUT2
description The present study examines the role of digital fitness applications in promoting health consciousness and their relationship with users’ physical activity habits. The objective was to analyse the factors influencing app usage among fitness centre users with a focus on health consciousness, utilising segmentation analysis and exploring its connection to the stages of change in the Transtheoretical Model. The methodology involved a convenience sampling method with a final sample of 390 fitness centre users. The data collection wasvia online surveys measuring variables such as demographic details, sports habits, and app usage patterns derived from the Unified Theory of Acceptance and Use of Technology with a total of 50 items divided in 14 factors. The cluster analysis identified three health consciousness profiles: “Optimal Consciousness”, “Preventive Consciousness”, and “Active Consciousness”. The results revealed that users classified as “Optimal Consciousness” exhibited the highest levels of well-being and health consciousness, with superior scores in facilitating conditions and self-efficacy. In contrast, “Active Consciousness” users demonstrated moderate health consciousness and were more likely to invest in app premium features. Significant differences were observed in physical activity frequency, duration, and education levels across clusters. Regression analysis indicated that facilitating conditions and exercise intention positively influenced health consciousness, whereas actual app usage exerted a negative influence. The practical implications suggest that app developers should simplify functionalities and incorporate educational tools, while fitness centres should integrate human interaction with digital tools to support users at lower stages of health consciousness. The role of sports professionals is particularly critical in enhancing app adoption and guiding users towards optimal health consciousness and regular physical activity
publishDate 2025
dc.date.none.fl_str_mv 2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/179670
https://doi.org/10.1007/s11135-025-02128-4
url https://hdl.handle.net/11441/179670
https://doi.org/10.1007/s11135-025-02128-4
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Quality & Quantity, 1-20.
https://doi.org/10.1007/s11135-025-02128-4
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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