BACKGROUND Despite the ongoing promotion of physical activity, the rates of physical inactivity remain high. Drawing on established methods of analysing consumer behaviour, this study seeks to understand how physical activity competes for finite time in a day - how Exercise and Sport compete with other everyday behaviours, and how engagement in physical activity is shared across Exercise and Sport activities. As targeted efforts are common in physical activity intervention and promotion, the existence of segmentation is also explored. METHODS Time-use recall data (n = 2307 adults) is analysed using the Duplication of Behaviour Law, and tested against expected values, to document what proportion of the population that engage in one activity, also engage in another competing activity. Additionally, a Mean Absolute Deviation approach is used to test for segmentation. RESULTS The Duplication of Behaviour Law is evident for everyday activities, and Exercise and Sport activities - all activities 'compete' with each other, and the prevalence of the competing activity determines the extent of competition. However, some activities compete more or less than expected, suggesting the combinations of activities that should be used or avoided in promotion efforts. Competition between everyday activities is predictable, and there are no specific activities that are sacrificed to engage in Exercise and Sport. How people share their physical activity across different Exercise and Sport activities is less predictable - Males and younger people (under 20 years) are more likely to engage in Exercise and Sport, and those who engage in Exercise and Sport are slightly more likely to Work and Study. High competition between Team Sports and Non-Team Sports suggests strong preferences for sports of different varieties. Finally, gender and age-based segmentation does not exist for Exercise and Sport relative to other everyday activities; however, segmentation does exist for Team Sports, Games, Active Play and Dance. CONCLUSIONS The Duplication of Behaviour Law demonstrates that population-level patterns of behaviour can yield insight into the competition between different activities, and how engagement in physical activity is shared across different Exercise and Sport activities. Such insights can be used to describe and predict physical activity behaviour and may be used to inform and evaluate promotion and intervention.

中文翻译：

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分析体育活动的竞争方式：《行为复制法》的跨学科应用。

背景技术尽管正在进行持续的体育锻炼，但是体育锻炼的比率仍然很高。本研究利用已建立的分析消费者行为的方法，旨在了解体育活动如何在一天中的有限时间内竞争-运动和体育如何与其他日常行为竞争，以及体育活动如何在运动和体育活动之间共享。由于有针对性的努力在体育活动的干预和促进中很普遍，因此也探讨了细分的存在。方法使用行为重复法对时间使用回忆数据（n = 2307名成年人）进行分析，并根据期望值进行测试，以记录从事一项活动的人口中也有参与另一竞争活动的人口比例。此外，均值绝对偏差方法用于测试分割。结果行为法则的重复在日常活动，运动和体育活动中都很明显-所有活动相互“竞争”，而竞争活动的普遍性决定了竞争的程度。但是，有些活动或多或少比预期的竞争，表明在推广工作中应使用或避免的活动组合。日常活动之间的竞争是可以预见的，并且没有牺牲特定的活动来从事运动。人们如何在不同的运动和体育活动中分享身体活动的方式难以预测-男性和20岁以下的年轻人更可能从事运动和体育活动，而从事运动和运动的人则工作和学习的可能性略高。团体运动与非团体运动之间的激烈竞争表明，人们对不同品种的运动有着强烈的偏好。最后，与其他日常活动相比，运动和运动不存在基于性别和年龄的细分；但是，对于团队运动，游戏，现役比赛和舞蹈确实存在细分。结论行为法重复表明，人口行为模式可以洞察不同活动之间的竞争，以及如何在不同的运动和体育活动之间共享体育活动的参与。此类见解可用于描述和预测体育锻炼行为，还可用于告知和评估促进和干预。