@文章{info:doi/10.2196/11321，作者=“Vandelanotte, Corneel和Duncan, Mitch J和Maher, Carol A和Schoeppe, Stephanie和Rebar, Amanda L和Power, Deborah A和Short, Camille E和Doran, Christopher M和Hayman, Melanie J和Alley, Stephanie J”，标题=“使用Fitbit活动跟踪器的基于web的计算机定制的身体活动干预的有效性:随机试验”，期刊=“J Med Internet Res”，年=“2018”，月=“12”，日=“18”，体积=“20”，数字=“12”，页数=“e11321”，关键词=“在线，互联网，跟踪，健康行为变化，高级活动跟踪器，可穿戴设备”，摘要=“背景:”基于网络的干预提供个性化的身体活动建议已经证明了良好的有效性，但依赖于自我报告的身体活动测量，这容易过度报告，潜在地降低了所提供建议的准确性和有效性。目的:本研究旨在研究通过整合Fitbit活动追踪器，是否可以提高基于网络的计算机定制干预的有效性。方法:参与者接受为期3个月的TaylorActive干预，包括8个基于理论的、个人量身定制的体育活动建议和行动计划模块。参与者被随机分配接受相同的干预，或有或没有集成Fitbit追踪器。所有干预材料都是通过网络传递的，在任何时间点都没有面对面的接触。在基线后1个月和3个月评估身体活动(澳大利亚活跃调查)、坐着时间(劳动力坐着问卷)和体重指数(BMI)的变化。建议可接受性、网站可用性和模块完成度也进行了评估。结果:共有243名澳大利亚成年人参与。 Linear mixed model analyses showed a significant increase in total weekly physical activity (adjusted mean increase=163.2; 95{\%} CI 52.0-274.5; P=.004) and moderate-to-vigorous physical activity (adjusted mean increase=78.6; 95{\%} CI 24.4-131.9; P=.004) in the Fitbit group compared with the non-Fitbit group at the 3-month follow-up. The sitting time and BMI decreased more in the Fitbit group, but no significant group {\texttimes} time interaction effects were found. The physical activity advice acceptability and the website usability were consistently rated higher by participants in the Fitbit group. Non-Fitbit group participants completed 2.9 (SD 2.5) modules, and Fitbit group participants completed 4.4 (SD 3.1) modules. Conclusions: Integrating physical activity trackers into a Web-based computer-tailored intervention significantly increased intervention effectiveness. Trial Registration: Australian New Zealand Clinical Trials Registry ACTRN12616001555448; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=371793 (Archived by WebCite at http://www.webcitation.org/73ioTxQX2) ", issn="1438-8871", doi="10.2196/11321", url="//www.mybigtv.com/2018/12/e11321/", url="https://doi.org/10.2196/11321", url="http://www.ncbi.nlm.nih.gov/pubmed/30563808" }