背景:研究认为,有关体育活动参与动机的知识可以为活动提供信息,促进身体活动的举措和干预措施。然而,这些研究大多基于小样本量,仅包括少数选定PA类型的参与者.Further,他们没有检查不同活动类型的个体动机的一致性。因此,这篇文章考察了RQ1:最普遍的动机,RQ2:动机与活动类型和社会背景特征的关联,和RQ3:不同活动类型之间动机的一致性。
方法:我们利用了一项对163,000名成年丹麦人(15岁以上)参加体育活动的调查数据。在调查中,参与者被问及他们参与13种活动类型,以及他们练习他们报告至少每周进行的活动类型的动机。动机项目是根据身体活动和休闲动机量表(PALMS)中的八个维度进行操作的。我们进行了平均值和标准偏差的分析以及多水平回归分析。
结果:我们发现不同动机对体育活动参与的重要性存在很大差异。三个最重要的动机是心理状况(M=4.54),身体状况(M=4.48)和享受(M=4.36)。我们还发现了动机和活动类型之间的显著关联,而且在动机和社会背景特征之间(性别,年龄和教育水平)。例如,我们发现与跑步相比,身体状况是户外活动中一个不太重要的动机(b=-3.01),水上活动(b=-2.44)和街头运动(b=-2.38)。最后,我们的分析显示,不同活动类型的个体动机并不一致。
结论:我们的研究通过使用大量个体样本并根据广泛的活动类型区分动机,为有关体育活动参与动机的文献做出了贡献。结果强调需要研究与活动类型相关的动机,由于不同动机的患病率存在很大差异。我们的研究结果表明,不同活动类型的动机并不一致,而是在个人和实践活动类型之间的相互作用中发展。
Studies argue that knowledge about motives for physical activity participation can inform activities, initiatives and interventions to promote physical activity. However, most of these studies are based on small sample sizes and only include participants within a few selected types of PA. Further, they have not examined the consistency of individuals\' motives across different activity types. As a result, this article examines RQ1: the most prevalent motives, RQ2: the association of motives with activity type and social background characteristics, and RQ3: the consistency of motives across different activity types.
We utilised data from a survey of physical activity participation among 163,000 adult Danes (aged 15 + years). In the survey, the participants were asked about their participation in thirteen activity types and about their motives for practising the activity types they reported to do at least weekly. The motive items were operationalised based on the eight dimensions in the Physical Activity and Leisure Motivation Scale (
PALMS). We conducted analyses of mean values and standard deviations as well as multilevel regression analyses.
We identified large differences in the importance of different motives for physical activity participation. The three most important motives were psychological condition (M = 4.54), physical condition (M = 4.48) and enjoyment (M = 4.36). We also found significant associations between motives and activity types in particular, but also between motives and social background characteristics (gender, age and educational level). For instance, we found that compared to running, physical condition was a much less important motive in outdoor activities (b = -3.01), activities on water (b = -2.44) and street sports (b = -2.38). Finally, our analysis showed how individuals\' motives are not consistent across different activity types.
Our study contributes to the literature on motives for physical activity participation by using a large sample of individuals and by differentiating motives according to a wide range of activity types. The results underline the need to study motives in relation to activity types, as there are large differences in the prevalence of different motives. Our findings suggest that motives are not consistent across activity types, but rather they develop in an interplay between the individual and the activity type practised.