Department of Sociology, Faculty of Economics and Business, University of Barcelona, 08034 Barcelona, Spain.
Department of Business, Faculty of Economics and Business, University of Barcelona, 08034 Barcelona, Spain.
Int J Environ Res Public Health. 2020 Sep 17;17(18):6777. doi: 10.3390/ijerph17186777.
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 was to analyze the association between the time spent doing physical activity and the expressed motives for doing so, from which the innovative aspect of the paper emerges: the use of the time spent doing PA as a study variable of the phenomenon. The data analyzed 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, a six-dimensional factorial model was found that explains the reasons for doing PA, demonstrating that there is no relationship between the reasons for and time spent doing PA. The 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 incentivized. Weaknesses of the study are that it works with individuals as a group and that the fundamental dependence on age is not introduced, which could determine interest in practicing PA. Similarly, the impact of the conditions of implementing PA, education, and family history should also be introduced into the model.
低水平的身体活动（PA）和久坐行为与不同病理和健康问题的发生有关。有规律的身体活动已被证明对一般人群的健康有益。在这一分析框架内，本研究的目的是分析身体活动时间与表达的活动动机之间的关系，本文的创新点在于：将身体活动时间用作研究现象的变量。分析的数据来自关于欧洲体育和身体活动的最新特别欧洲晴雨表调查。使用探索性因子分析和结构方程模型，发现了一个六维因子模型，可以解释进行 PA 的原因，表明进行 PA 的原因和时间之间没有关系。动机不是解释进行 PA 时间的变量，如果要激励进行 PA，则必须使用另一种类型的变量来解释该现象。研究的局限性在于，它将个体作为一个群体进行研究，并且没有引入年龄这一基本依赖性，这可能会决定人们对进行 PA 的兴趣。同样，应该将 PA 实施条件、教育和家族史的影响引入到模型中。
