A digital self-report survey of mood for bipolar disorder.
A digital self-report survey of mood for bipolar disorder.
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DOI：
10.1111/bdi.13058
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发表时间：
2021-12
影响因子：
5.4
通讯作者：
Cochran AL
中科院分区：
文献类型：
--
作者：
Sagorac Gruichich T;David Gomez JC;Zayas-Cabán G;McInnis MG;Cochran AL
双相情感障碍(BP)通常是在数字环境中研究的。因此，需要标准化的数字工具来衡量情绪。我们试图验证一项新的调查，该调查简短、以数字形式得到验证，并能够分别测量躁狂和抑郁的严重程度。我们介绍了一种由6个项目组成的数字调查，称为数字BP，用于测量BP的情绪。它有3个抑郁项目(抑郁情绪、烦躁、疲劳)，2个躁狂项目(精力增加、快速说话)，1个混合项目(易怒)；并恢复两个分数(m和d)来衡量躁狂和抑郁的严重程度。在对监测症状超过6周的BP患者(n=43)的二次分析中，我们执行了一系列分析来验证内部、外部和作为纵向测量的数字化BP调查。我们首先验证了一个调查的概念模型，在这个模型中，项目加载到两个因素上(“躁狂”和“抑郁”)。然后，我们发现数字BP的m和d得分的周平均值可以解释每周得分与YMRS(R2=0.47)和SIGH-D(R2=0.58)的显著差异。最后，我们通过根据个人过去的m和d分数预测个人未来的m和d分数，来检验作为纵向测量的调查的实用性。虽然在更大、更多样化的人群中需要进一步的验证，但这些验证分析应该会鼓励研究人员在他们的下一次BP数字研究中考虑数字化BP。
Bipolar disorder (BP) is commonly researched in digital settings. As a result, standardized digital tools are needed to measure mood. We sought to validate a new survey that is brief, validated in digital form, and able to separately measure manic and depressive severity. We introduce a 6-item digital survey, called digiBP, for measuring mood in BP. It has 3 depressive items (depressed mood, fidgeting, fatigue), 2 manic items (increased energy, rapid speech), and 1 mixed item (irritability); and recovers two scores (m and d) to measure manic and depressive severity. In a secondary analysis of individuals with BP who monitored their symptoms over 6 weeks (n = 43), we perform a series of analyses to validate the digiBP survey internally, externally, and as a longitudinal measure. We first verify a conceptual model for the survey in which items load onto two factors (“manic” and “depressive”). We then show weekly averages of m and d scores from digiBP can explain significant variation in weekly scores from the YMRS (R2 = 0.47) and SIGH-D (R2 = 0.58). Lastly, we examine the utility of the survey as a longitudinal measure by predicting an individual’s future m and d scores from their past m and d scores. While further validation is warranted in larger, diverse populations, these validation analyses should encourage researchers to consider digiBP for their next digital study of BP.
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影响因子：
6.8
作者：
Carr O;Saunders KEA;Bilderbeck AC;Tsanas A;Palmius N;Geddes JR;Foster R;De Vos M;Goodwin GM
通讯作者：
Goodwin GM
影响因子：
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作者：
GIBBONS, RD;CLARK, DC;KUPFER, DJ
通讯作者：
KUPFER, DJ
影响因子：
6.9
作者：
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通讯作者：
Kessing, Lars Vedel
影响因子：
6.6
作者：
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通讯作者：
Yatham, Lakshmi N.
影响因子：
2.9
作者：
Faurholt-Jepsen M;Vinberg M;Christensen EM;Frost M;Bardram J;Kessing LV
通讯作者：
Kessing LV