Sleep Tracking and Exercise in Patients With Type 2 Diabetes Mellitus (Step-D): Pilot Study to Determine Correlations Between Fitbit Data and Patient-Reported Outcomes

Sleep Tracking and Exercise in Patients With Type 2 Diabetes Mellitus (Step-D): Pilot Study to Determine Correlations Between Fitbit Data and Patient-Reported Outcomes
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2 型糖尿病患者的睡眠追踪和锻炼(步骤 D):确定 Fitbit 数据与患者报告结果之间相关性的试点研究

DOI:
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发表时间:
2018
影响因子:
5
通讯作者:
E. Witt
E. Witt
中科院分区:
医学2区
文献类型:
--
作者:
J. Weatherall;Yurek Paprocki;T. Meyer;I. Kudel;E. Witt

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背景:很少有研究评估患者报告的结果与可穿戴设备中患者产生的健康数据之间的相关性。本研究的目的是确定2型糖尿病(T2DM)患者产生的健康数据(来自Fitbit Charge HR)与患者报告的睡眠模式和身体活动结果之间的关联方向和程度。方法:这是一项对诊断为T2DM的成人(n=86)进行的初步研究。所有参与者连续14天佩戴Fitbit Charge HR,并在3个时间点完成基于互联网的调查:第1天、第7天和第14天。患者生成的健康数据包括睡眠时间和行走步数。调查问卷评估了每周锻炼的天数和睡眠问题的天数。计算所有数据的均值和标准差,并使用Pearson相关性来检查患者报告的结果与患者产生的健康数据之间的关联。所有受访者在参与前都提供了知情同意。结果参与者以中年人(平均54.3岁,SD 13.3岁)、白人(80/86,93%)和女性(50/86,58%)为主。口服T2DM药物的使用与平均步数相关(r=.35, P=.001),而不知道糖化血红蛋白水平与睡眠分钟数相关(r= -)。24日,P = .04点)。根据Fitbit的数据,参与者平均每天步行4955步,睡眠6.7小时。他们自我报告平均每周有2.0天的锻炼和2.3个晚上的睡眠问题。运动天数和步行步数之间的相关性很强(r= 0.60, P< 0.001),而睡眠问题天数和睡眠时间之间的相关性较弱(r= 0.28, P= 0.02)。结论:Fitbit和患者报告的数据与身体活动和睡眠呈正相关,前者的相关性强于后者。由于广泛的患者监测可以指导T2DM治疗的临床决策,通过可穿戴设备收集被动、客观的数据可能会提高患者的护理水平,从而产生更好的患者报告结果。
Background Few studies assessing the correlation between patient-reported outcomes and patient-generated health data from wearable devices exist. Objective The aim of this study was to determine the direction and magnitude of associations between patient-generated health data (from the Fitbit Charge HR) and patient-reported outcomes for sleep patterns and physical activity in patients with type 2 diabetes mellitus (T2DM). Methods This was a pilot study conducted with adults diagnosed with T2DM (n=86). All participants wore a Fitbit Charge HR for 14 consecutive days and completed internet-based surveys at 3 time points: day 1, day 7, and day 14. Patient-generated health data included minutes asleep and number of steps taken. Questionnaires assessed the number of days of exercise and nights of sleep problems per week. Means and SDs were calculated for all data, and Pearson correlations were used to examine associations between patient-reported outcomes and patient-generated health data. All respondents provided informed consent before participating. Results The participants were predominantly middle-aged (mean 54.3, SD 13.3 years), white (80/86, 93%), and female (50/86, 58%). Use of oral T2DM medication correlated with the number of mean steps taken (r=.35, P=.001), whereas being unaware of the glycated hemoglobin level correlated with the number of minutes asleep (r=−.24, P=.04). On the basis of the Fitbit data, participants walked an average of 4955 steps and slept 6.7 hours per day. They self-reported an average of 2.0 days of exercise and 2.3 nights of sleep problems per week. The association between the number of days exercised and steps walked was strong (r=.60, P<.001), whereas the association between the number of troubled sleep nights and minutes asleep was weaker (r=.28, P=.02). Conclusions Fitbit and patient-reported data were positively associated for physical activity as well as sleep, with the former more strongly correlated than the latter. As extensive patient monitoring can guide clinical decisions regarding T2DM therapy, passive, objective data collection through wearables could potentially enhance patient care, resulting in better patient-reported outcomes.
DOI: 10.1056/nejmp0911494
发表时间: 2010-03-11
期刊: The New England journal of medicine
影响因子: --
作者:
Basch E
通讯作者: Basch E
DOI: 10.1001/archinternmed.2010.334
发表时间: 2010-09-27
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Wing, Rena R.;Bahnson, Judy L.;Bray, George A.;Clark, Jeanne M.;Coday, Mace;Egan, Caitlin;Espeland, Mark A.;Foreyt, John P.;Gregg, Edward W.;Goldman, Valerie;Haffner, Steven M.;Hazuda, Helen;Hill, James O.;Horton, Edward S.;Hubbard, Van S.;Jakicic, John;Jeffery, Robert W.;Johnson, Karen C.;Kahn, Steven;Killean, Tina;Kitabchi, Abbas E.;Lewis, Cora E.;Manus, Cathy;Maschak-Carey, Barbara J.;Michaels, Sara;Montez, Maria;Montgomery, Brenda;Nathan, David M.;Patricio, Jennifer;Peters, Anne;Pi-Sunyer, Xavier;Pownall, Henry;Reboussin, David;Rejeski, Jack;Rubin, Richard;Safford, Monika;Skarphol, Tricia;Van Dorsten, Brent;Wadden, Thomas A.;Wagenknecht, Lynne;Wesche-Thobaben, Jacqueline;West, Delia S.;Williamson, Donald;Yanovski, Susan Z.
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DOI: 10.1093/ageing/afw125
发表时间: 2016-11-01
期刊: AGE AND AGEING
影响因子: 6.7
作者:
Min, Joohong;Ailshire, Jennifer;Crimmins, Eileen M.
通讯作者: Crimmins, Eileen M.
DOI: 10.1001/archinte.165.8.863
发表时间: 2005-04-25
影响因子: --
作者:
Gottlieb, DJ;Punjabi, NM;Nieto, FJ
通讯作者: Nieto, FJ