参与在线体育活动计划的各个方面 干预和参与的基线预测者
Reagan Moffit1, Kathleen McTigue2, Molly B Conroy3
1Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
American journal of health promotion : AJHP
|August 8, 2023
概括
参与者参与在线体育活动干预的参与度很高,个人健康和生活方式因素预测了更好的坚持. 了解这些预测因素是优化在线健康计划的关键.
科学领域:
- 数字健康数字健康
- 行为科学 行为科学
- 公共卫生 公共卫生
背景情况:
- 在线体育活动 (PA) 干预方案为促进健康提供可扩展的解决方案.
- 了解影响参与者参与的因素对于干预成功至关重要.
研究的目的:
- 描述参与者参与ActiveGOALS在线PA干预的情况.
- 确定与参与这个数字健康计划相关的基线因素.
主要方法:
- 一项随机对照试验中的纵向研究,涉及21至70岁的初级保健患者.
- 通过课程完成,教练接触和行为跟踪 (PA,久坐) 来衡量参与度.
- 基线因素通过混合效应模型在健康,人口统计,生活方式和生活质量领域进行评估.
主要成果:
- 观察到高参与度:58.2%完成了所有课程;PA经常跟踪.
- 参与者与教练联系的次数比预期的少.
- 与健康,医疗保健,人口统计,生活方式和生活质量相关的基线因素显著预测了参与度.
结论:
- 在多方面的在线PA干预中,可以实现高参与度.
- 必须检查多个参与方面和众多预测因素,以确定促进者和障碍.
- 个人基线特征在在线干预坚持方面发挥着重要作用.
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