Smartphone-based activity measurements in patients with newly diagnosed bipolar disorder, unaffected relatives and control individuals.
Smartphone-based activity measurements in patients with newly diagnosed bipolar disorder, unaffected relatives and control individuals.
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DOI：
10.1186/s40345-020-00195-0
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发表时间：
2020-11-02
影响因子：
4
通讯作者：
Faurholt-Jepsen M
中科院分区：
文献类型：
--
作者：
Stanislaus S;Vinberg M;Melbye S;Frost M;Busk J;Bardram JE;Kessing LV;Faurholt-Jepsen M
在DSM-5中，活动是诊断轻躁狂和躁狂的核心标准。然而，没有量化活动变化的准则。该研究的目的是（1）分别研究每日基于智能手机的自我报告和自动生成的活动，以验证活动的测量结果;（2）验证每日基于智能手机的自我报告活动和自动生成的活动相互比较;（3）研究双相情感障碍（BD）患者之间每日自我报告和自动生成的基于智能手机的活动的差异，未受影响的亲属（UR）和健康对照个体（HC）。共纳入203例BD、54例UR和109例HC患者。在一个基于智能手机的应用程序上，参与者每天报告他们的活动水平，范围从-3到+3。此外，拥有android智能手机的参与者提供了自动生成的数据，包括步数、屏幕开/关日志以及通话和短信日志。基于智能手机的活动与活动问卷（国际体力活动问卷（IPAQ））和活动项目进行了验证，活动项目包括使用汉密尔顿抑郁量表（HAMD）的抑郁量表、使用杨氏躁狂量表（YMRS）的躁狂量表和使用功能评估简短测试（FAST）的功能。在这些分析中，我们计算了在与问卷和评级量表评估的天数相对应的时间段内报告的基于智能手机的活动测量的平均值。(1)根据IPAQ评分和HAMD和YMRS活动项目，基于智能手机的自我报告活动是一种有效的测量方法，并且与FAST评分相关，而大多数基于智能手机的自动生成的活动测量结果则不相关。(2)每天基于智能手机的自我报告和自动生成的活动几乎与所有测量结果相互关联。(3)与HC相比，BD患者的每日自我报告活动减少。与HC相比，BD患者的身体活动（步数）和社交活动（更多未接电话）减少，但通话时间较长。与HC相比，UR的体力活动也有所减少，但在每日自我报告的活动或社交活动方面没有差异。通过智能手机测量的每日自我报告的活动代表整体活动，并与自动生成的基于智能手机的活动的测量结果相关。使用智能手机检测活动水平可能在临床上有助于双相情感障碍患者的诊断和疾病监测。试用注册clinicaltrials.gov NCT 02888262
In DSM-5 activity is a core criterion for diagnosing hypomania and mania. However, there are no guidelines for quantifying changes in activity. The objectives of the study were (1) to investigate daily smartphone-based self-reported and automatically-generated activity, respectively, against validated measurements of activity; (2) to validate daily smartphone-based self-reported activity and automatically-generated activity against each other; (3) to investigate differences in daily self-reported and automatically-generated smartphone-based activity between patients with bipolar disorder (BD), unaffected relatives (UR) and healthy control individuals (HC). A total of 203 patients with BD, 54 UR, and 109 HC were included. On a smartphone-based app, the participants daily reported their activity level on a scale from −3 to + 3. Additionally, participants owning an android smartphone provided automatically-generated data, including step counts, screen on/off logs, and call- and text-logs. Smartphone-based activity was validated against an activity questionnaire the International Physical Activity Questionnaire (IPAQ) and activity items on observer-based rating scales of depression using the Hamilton Depression Rating scale (HAMD), mania using Young Mania Rating scale (YMRS) and functioning using the Functional Assessment Short Test (FAST). In these analyses, we calculated averages of smartphone-based activity measurements reported in the period corresponding to the days assessed by the questionnaires and rating scales. (1) Smartphone-based self-reported activity was a valid measure according to scores on the IPAQ and activity items on the HAMD and YMRS, and was associated with FAST scores, whereas the majority of automatically-generated smartphone-based activity measurements were not. (2) Daily smartphone-based self-reported and automatically-generated activity correlated with each other with nearly all measurements. (3) Patients with BD had decreased daily self-reported activity compared with HC. Patients with BD had decreased physical (number of steps) and social activity (more missed calls) but a longer call duration compared with HC. UR also had decreased physical activity compared with HC but did not differ on daily self-reported activity or social activity. Daily self-reported activity measured via smartphone represents overall activity and correlates with measurements of automatically generated smartphone-based activity. Detecting activity levels using smartphones may be clinically helpful in diagnosis and illness monitoring in patients with bipolar disorder. Trial registration clinicaltrials.gov NCT02888262
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影响因子：
6.6
作者：
Cheniaux, Elie;Filgueiras, Alberto;Landeira-Fernandez, J.
通讯作者：
Landeira-Fernandez, J.
DOI：
10.1109/tbme.2016.2611862
发表时间：
2017-08
期刊：
IEEE transactions on bio-medical engineering
影响因子：
--
作者：
Palmius N;Tsanas A;Saunders KEA;Bilderbeck AC;Geddes JR;Goodwin GM;De Vos M
通讯作者：
De Vos M
国际体育活动问卷的有效性简短形式（IPAQ-SF）：系统评价。
DOI：
10.1186/1479-5868-8-115
发表时间：
2011-10-21
期刊：
The international journal of behavioral nutrition and physical activity
影响因子：
--
作者：
Lee PH;Macfarlane DJ;Lam TH;Stewart SM
通讯作者：
Stewart SM
影响因子：
3.8
作者：
Matthews, Mark;Abdullah, Saeed;Frank, Ellen
通讯作者：
Frank, Ellen
影响因子：
5.3
作者：
Fredskild, Mette U.;Mintz, Jim;Suppes, Trisha
通讯作者：
Suppes, Trisha