Vickey Ted, Breslin John G
Point Loma University, San Diego, CA, USA.
National University of Ireland, Galway, Ireland.
Mhealth. 2015 Nov 30;1:19. doi: 10.3978/j.issn.2306-9740.2015.11.01. eCollection 2015.
The goal of this research was to compare the self-reported estimates of daily physical-activity data provided to the Healthy People 2020 research team via a telephone survey to the mobile fitness app real-time reporting of physical activity using Twitter.
The fitness tweet classification data set was collected from mobile fitness app users who shared their physical activity over Twitter. Over 184 days, 2,856,534 tweets were collected in 23 different languages. However, for the purposes of this study, only the English-language tweets were analysed, resulting in a total of 1,982,653 tweets by 165,768 unique users. The information and data gleaned from this data set, which reflected 184 days of continuous data collection, were compared to the results from the Healthy People survey, which were compiled using telephone interviews of self-reported physical activity from the previous week.
The data collected from fitness tweets using the five mobile fitness apps suggest lower percentages of people achieving both the 150 to 300 and 300+ min levels than is reflected in the Healthy People survey results. While employing Twitter and other social media as data-collection tools could help researchers obtain information that users might not remember or be willing to disclose face-to-face or over the telephone, further research is needed to determine the cause of the lower percentages found in this study.
Though some challenges remain in using social media like Twitter to glean physical-activity data from the public, this approach holds promise for yielding valuable information and improving outcomes.
本研究的目的是将通过电话调查提供给“健康人民2020”研究团队的每日身体活动数据的自我报告估计值，与使用推特的移动健身应用程序实时报告的身体活动情况进行比较。
健身推文分类数据集是从在推特上分享其身体活动的移动健身应用程序用户中收集的。在184天内，共收集了23种不同语言的2,856,534条推文。然而，出于本研究的目的，仅分析了英语推文，结果共有165,768名用户发布了1,982,653条推文。将从该数据集中收集的、反映184天连续数据收集情况的信息和数据，与“健康人民”调查的结果进行比较，该调查的结果是通过对前一周自我报告的身体活动进行电话访谈汇编而成的。
使用五款移动健身应用程序从健身推文中收集的数据表明，达到150至300分钟以及300分钟以上水平的人群百分比低于“健康人民”调查结果所反映的百分比。虽然利用推特和其他社交媒体作为数据收集工具可以帮助研究人员获取用户可能记不住或不愿意面对面或通过电话披露的信息，但需要进一步研究以确定本研究中发现的较低百分比的原因。
尽管在使用推特等社交媒体从公众中收集身体活动数据方面仍存在一些挑战，但这种方法有望产生有价值的信息并改善结果。
