Adherence to Physical Activity in an Unsupervised Setting: The Case of Lapse and Return to Practice in a Brazilian Fitness Center

S. Sperandei, M. C. Vieira, A. Reis
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引用次数: 4

Abstract

This study aims to evaluate adherence, dropout, lapse and return rates of members of a fitness center in the city of Rio de Janeiro, Brazil, and the potential explanatory variables for these phenomena. The study was exploratory and observational, using a retrospective longitudinal frame of reference. The records of 5242 individuals, members of the fitness center between Jan-2005 and Jun-2014, were monitored for 12 months after cancellation of membership or until re-enrolment, whichever occurred first. A Cox proportional hazard regression model was adjusted to identify variables associated with higher probability of returning to activities. The general survival curve shows that 38% of members who drop out will return to activities within 12 months. Of those who return, more than half return within the first month. The regression model showed that age, previous level of physical activity and length of membership before dropout are related to the probability of returning earlier to activities after an interruption. Combined, those variables represent an important difference between individuals with the best and worse combination of significant variables. Our results can assist in the identification of high risk individuals and therefore help in the development of strategies to prevent abandonment of physical activity and to increase return after interruption.
在无监督的环境中坚持体育活动:巴西健身中心的失误和恢复练习的案例
本研究旨在评估巴西里约热内卢市健身中心会员的坚持率、退出率、离职率和回复率,以及这些现象的潜在解释变量。该研究是探索性和观察性的,采用回顾性纵向参考框架。在2005年1月至2014年6月期间,对5242名健身中心会员的记录进行了12个月的监测,直至取消会员资格或重新注册,以先发生者为准。调整Cox比例风险回归模型,以确定与较高重返活动概率相关的变量。总体生存曲线显示,退出的会员中有38%会在12个月内重返活动。在返回的人中,超过一半的人在第一个月内返回。回归模型显示,年龄、以前的体育活动水平和退出前的会员时间与中断后更早恢复活动的概率有关。综合起来,这些变量代表了具有最佳和最差显著变量组合的个体之间的重要差异。我们的研究结果可以帮助识别高风险个体,从而有助于制定策略,以防止放弃体育活动,并增加中断后的回报。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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