TY -的盟Cheng葆拉·格伦达费雷尔AU -拉莫斯,Roann穆尼奥斯盟——Bitsch乔Agila AU -乔纳斯,斯蒂芬迈克尔AU - Ix,蒂姆盟——看,波西亚林恩Quetulio盟——Wehrle克劳斯PY - 2016 DA - 2016/07/20 TI -心理学家在口袋里:词汇的手机应用开发和内容验证抑郁筛选乔- Uhealth Mhealth JMIR SP - e88六世- 4 - 3 KW -抑郁KW -心理学家在口袋里KW -词汇发展KW -文本分析AB -背景:语言反映了一个人的心理健康状况和个人特征。它还揭示了对特定图式的关注，从而可能提供对心理状况的见解。用文本或词汇分析来探讨抑郁，可以描述消极图式和自我关注倾向。随着移动技术与日常生活的高度融合，移动设备具有生态瞬间评估(EMA)的能力，特别是体验抽样方法(ESM)，即实时捕获行为或更接近于自然环境中的体验。将移动技术扩展到心理健康领域可以增强初步临床评估，特别是对情绪障碍(如抑郁症)的评估，并可以分析日常活动(如沟通中的语言使用)。在这里，我们介绍了词典的生成和发展过程，以及口袋里的心理学家(PiaP)的初步验证，这是一款旨在通过文本分析筛选抑郁症迹象的移动应用程序。目的:本研究的主要目的是:(1)生成和开发一个抑郁症词汇，用于筛选PiaP中使用的移动应用程序中的文本输入;(2)进行内容验证作为初始验证。方法:第一阶段的研究重点是词汇的发展。 Words related to depression and its symptoms based on the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) and in the ICD-10 Classification of Mental and Behavioural Disorders: Clinical Descriptions and Diagnostic Guidelines classification systems were gathered from focus group discussions with Filipino college students, interviews with mental health professionals, and the review of established scales for depression and other related constructs. Results: The lexicon development phase yielded a database consisting of 13 categories based on the criteria depressive symptoms in the DSM-5 and ICD-10. For the draft of the depression lexicon for PiaP, we were able to gather 1762 main keywords and 9655 derivatives of main keywords. In addition, we compiled 823,869 spelling variations. Keywords included negatively-valenced words like “sad”, “unworthy”, or “tired” which are almost always accompanied by personal pronouns, such as “I”, “I’m” or “my” and in Filipino, “ako” or “ko”. For the content validation, only keywords with CVR equal to or more than 0.75 were included in the depression lexicon test-run version. The mean of all CVRs yielded a high overall CVI of 0.90. A total of 1498 main keywords, 8911 derivatives of main keywords, and 783,140 spelling variations, with a total of 793, 553 keywords now comprise the test-run version. Conclusions: The generation of the depression lexicon is relatively exhaustive. The breadth of keywords used in text analysis incorporates the characteristic expressions of depression and its related constructs by a particular culture and age group. A content-validated mobile health app, PiaP may help augment a more effective and early detection of depressive symptoms. SN - 2291-5222 UR - http://mhealth.www.mybigtv.com/2016/3/e88/ UR - https://doi.org/10.2196/mhealth.5284 UR - http://www.ncbi.nlm.nih.gov/pubmed/27439444 DO - 10.2196/mhealth.5284 ID - info:doi/10.2196/mhealth.5284 ER -