Takemoto Michelle, Lewars Brittany, Hurst Samantha, Crist Katie, Nebeker Camille, Madanat Hala, Nichols Jeanne, Rosenberg Dori E, Kerr Jacqueline
Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA, United States.
Graduate School of Public Health, San Diego State University, San Diego, CA, United States.
JMIR Mhealth Uhealth. 2018 Mar 31;6(3):e73. doi: 10.2196/mhealth.7857.
Recent epidemiological evidence indicates that, on average, people are sedentary for approximately 7.7 hours per day. There are deleterious effects of prolonged sedentary behavior that are separate from participation in physical activity and include increased risk of weight gain, cancer, metabolic syndrome, diabetes, and heart disease. Previous trials have used wearable devices to increase physical activity in studies; however, additional research is needed to fully understand how this technology can be used to reduce sitting time.
The purpose of this study was to explore the potential of wearable devices as an intervention tool in a larger sedentary behavior study through a general inductive and deductive analysis of focus group discussions.
We conducted four focus groups with 15 participants to discuss 7 different wearable devices with sedentary behavior capabilities. Participants recruited for the focus groups had previously participated in a pilot intervention targeting sedentary behavior over a 3-week period and were knowledgeable about the challenges of reducing sitting time. During the focus groups, participants commented on the wearability, functionality, and feedback mechanism of each device and then identified their two favorite and two least favorite devices. Finally, participants designed and described their ideal or dream wearable device. Two researchers, who have expertise analyzing qualitative data, coded and analyzed the data from the focus groups. A thematic analysis approach using Dedoose software (SocioCultural Research Consultants, LLC version 7.5.9) guided the organization of themes that reflected participants' perspectives.
Analysis resulted in 14 codes that we grouped into themes. Three themes emerged from our data: (1) features of the device, (2) data the device collected, and (3) how data are displayed.
Current wearable devices for increasing physical activity are insufficient to intervene on sitting time. This was especially evident when participants voted, as several participants reported using a "process of elimination" as opposed to choosing favorites because none of the devices were ideal for reducing sitting time. To overcome the limitations in current devices, future wearable devices designed to reduce sitting time should include the following features: waterproof, long battery life, accuracy in measuring sitting time, real time feedback on progress toward sitting reduction goals, and flexible options for prompts to take breaks from sitting.
近期的流行病学证据表明,平均而言,人们每天久坐约7.7小时。长时间久坐行为存在有害影响,这与参与体育活动无关,包括体重增加、患癌、代谢综合征、糖尿病和心脏病风险增加。此前的试验在研究中使用可穿戴设备来增加身体活动;然而,需要更多研究来全面了解如何利用这项技术减少久坐时间。
本研究的目的是通过对焦点小组讨论进行一般性归纳和演绎分析,探讨可穿戴设备作为一种干预工具在一项更大规模久坐行为研究中的潜力。
我们组织了四个焦点小组,每组有15名参与者,讨论7种具有久坐行为监测功能的不同可穿戴设备。招募参加焦点小组的参与者此前参加了一项为期3周针对久坐行为的试点干预,并且了解减少久坐时间的挑战。在焦点小组讨论期间,参与者对每个设备的可穿戴性、功能和反馈机制发表了评论,然后选出他们最喜欢的两个设备和最不喜欢的两个设备。最后,参与者设计并描述了他们理想的或梦寐以求的可穿戴设备。两名具有定性数据分析专业知识的研究人员对焦点小组的数据进行了编码和分析。使用Dedoose软件(社会文化研究咨询公司,版本7.5.9)的主题分析方法指导了反映参与者观点的主题组织。
分析得出14个编码,我们将其归纳为主题。我们的数据中出现了三个主题:(1)设备的特点,(2)设备收集的数据,(3)数据的显示方式。
当前用于增加身体活动的可穿戴设备不足以干预久坐时间。当参与者投票时,这一点尤为明显,因为有几位参与者表示是通过“排除法”来选择,而不是选出最喜欢的设备,因为没有一个设备非常适合减少久坐时间。为克服当前设备的局限性,未来设计用于减少久坐时间的可穿戴设备应具备以下特点:防水、电池续航时间长、测量久坐时间准确、实时反馈减少久坐目标的进展情况以及提供灵活的休息提示选项。