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Real-world feasibility and acceptability of real-time suicide risk monitoring via smartphones: A 6-month follow-up cohort.通过智能手机实时监测自杀风险的真实可行性和可接受性：一项为期 6 个月的随访队列研究。
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From Ecological Momentary Assessment (EMA) to Ecological Momentary Intervention (EMI): Past and Future Directions for Ambulatory Assessment and Interventions in Eating Disorders.从生态瞬时评估（EMA）到生态瞬时干预（EMI）：饮食障碍的流动评估和干预的过去和未来方向。
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National Trends and Directions for Suicide Prevention Research in South Korea: A Narrative Review.韩国自杀预防研究的全国趋势与方向：一项叙述性综述
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本文引用的文献

1
Digital cognitive-behavioural therapy to reduce suicidal ideation and behaviours: a systematic review and meta-analysis of individual participant data.数字认知行为疗法减少自杀意念和行为的效果：一项个体参与者数据的系统评价和荟萃分析。
Evid Based Ment Health. 2022 Dec;25(e1):e8-e17. doi: 10.1136/ebmental-2022-300540.
2
A Systematic Evaluation of Mobile Health Applications for the Prevention of Suicidal Behavior or Non-suicidal Self-injury.用于预防自杀行为或非自杀性自伤的移动健康应用程序的系统评价。
Front Digit Health. 2021 Jul 26;3:689692. doi: 10.3389/fdgth.2021.689692. eCollection 2021.
3
SIMON: A Digital Protocol to Monitor and Predict Suicidal Ideation.西蒙：一种监测和预测自杀意念的数字协议。
Front Psychiatry. 2021 Jul 1;12:554811. doi: 10.3389/fpsyt.2021.554811. eCollection 2021.
4
Can a social media intervention improve online communication about suicide? A feasibility study examining the acceptability and potential impact of the #chatsafe campaign.社交媒体干预能否改善有关自杀的在线交流？一项可行性研究检验了#chatsafe 运动的可接受性和潜在影响。
PLoS One. 2021 Jun 15;16(6):e0253278. doi: 10.1371/journal.pone.0253278. eCollection 2021.
5
Advancing the Understanding of Suicide: The Need for Formal Theory and Rigorous Descriptive Research.推进自杀研究的理解：对形式理论和严谨描述性研究的需求。
Trends Cogn Sci. 2020 Sep;24(9):704-716. doi: 10.1016/j.tics.2020.06.007. Epub 2020 Jul 14.
6
Ethical issues and practical barriers in internet-based suicide prevention research: a review and investigator survey.基于互联网的自杀预防研究中的伦理问题和实际障碍：综述和调查员调查。
BMC Med Ethics. 2020 May 13;21(1):37. doi: 10.1186/s12910-020-00479-1.
7
Patterns of change in suicide ideation signal the recurrence of suicide attempts among high-risk psychiatric outpatients.自杀意念变化模式预示着高危精神科门诊患者自杀企图的复发。
Behav Res Ther. 2019 Sep;120:103392. doi: 10.1016/j.brat.2019.04.001. Epub 2019 Apr 9.
8
Machine learning in suicide science: Applications and ethics.机器学习在自杀科学中的应用与伦理
Behav Sci Law. 2019 May;37(3):214-222. doi: 10.1002/bsl.2392. Epub 2019 Jan 4.
9
Predicting suicidal ideation by interpersonal variables, hopelessness and depression in real-time. An ecological momentary assessment study in psychiatric inpatients with depression.实时预测通过人际变量、绝望和抑郁产生的自杀意念。一项对抑郁症住院精神病人进行的即时评估研究。
Eur Psychiatry. 2019 Feb;56:43-50. doi: 10.1016/j.eurpsy.2018.11.003. Epub 2018 Dec 5.
10
Smartphones, Sensors, and Machine Learning to Advance Real-Time Prediction and Interventions for Suicide Prevention: a Review of Current Progress and Next Steps.智能手机、传感器和机器学习在推进实时预测和预防自杀干预方面的应用：当前进展和未来步骤的综述。
Curr Psychiatry Rep. 2018 Jun 28;20(7):51. doi: 10.1007/s11920-018-0914-y.

Editorial: Digital suicide prevention.

作者信息

Sander Lasse Bosse, Spangenberg Lena, La Sala Louise, Van Ballegooijen Wouter

机构信息

Medical Psychology and Medical Sociology, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

Department of Medical Psychology and Medical Sociology, Leipzig University, Leipzig, Germany.

出版信息

Front Digit Health. 2023 Mar 3;5:1148356. doi: 10.3389/fdgth.2023.1148356. eCollection 2023.

DOI:10.3389/fdgth.2023.1148356
PMID:36937249
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10020690/
Abstract
摘要