Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Association between the Reasons for and Time Spent Doing Physical Activity, Two Variables with Little Relationship. an Approach from the Eurobarometer Survey.

Version 1 : Received: 3 August 2020 / Approved: 5 August 2020 / Online: 5 August 2020 (05:18:39 CEST)

A peer-reviewed article of this Preprint also exists.

Domínguez-Amorós, M.; Aparicio-Chueca, P. Lack of Association between the Reasons for and Time Spent Doing Physical Activity. Int. J. Environ. Res. Public Health 2020, 17, 6777. Domínguez-Amorós, M.; Aparicio-Chueca, P. Lack of Association between the Reasons for and Time Spent Doing Physical Activity. Int. J. Environ. Res. Public Health 2020, 17, 6777.

Journal reference: Int. J. Environ. Res. Public Health 2020, 17, 6777
DOI: 10.3390/ijerph17186777

Abstract

Low levels of physical activity (PA) and sedentarism are associated with the onset of different pathologies and health problems. Regular physical activity has been linked with being beneficial to the health of the general population. Within this framework of analysis, the aim of the present study is to analyse the existing association between the time spent doing physical activity and the expressed motives for doing so, from which the first innovative aspect of the paper emerges: the use of the time spent doing PA as a study variable of the phenomenon. The data analysed come from the latest special Eurobarometer survey about the sport and physical activity done in Europe. Using an exploratory factorial analysis and a structural equations model, we were able to find a six-dimensional factorial model that explains the reasons for doing PA, demonstrating that there is no relationship between the reasons for and time spent doing PA. Therefore, motivation is not a variable that explains the time spent doing PA and another type of variable must be used to explain the phenomenon if PA is to be incentivised.

Subject Areas

physical activity; active live; motivational factors; health; Europe; structural equation modelling

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