2016-2018 年，与自杀预防生命线每日来电和自杀相关的包含 700 多万条与自杀相关内容的推文的关联。
Association of 7 million+ tweets featuring suicide-related content with daily calls to the Suicide Prevention Lifeline and with suicides, United States, 2016-2018.
机构信息
Unit Suicide Research & Mental Health Promotion, Department of Social and Preventive Medicine, Center for Public Health, Medical University of Vienna, Vienna, Austria.
Wiener Werkstaette for Suicide Research, Vienna, Austria.
出版信息
Aust N Z J Psychiatry. 2023 Jul;57(7):994-1003. doi: 10.1177/00048674221126649. Epub 2022 Oct 14.
OBJECTIVE
The aim of this study was to assess associations of various content areas of Twitter posts with help-seeking from the US National Suicide Prevention Lifeline (Lifeline) and with suicides.
METHODS
We retrieved 7,150,610 suicide-related tweets geolocated to the United States and posted between 1 January 2016 and 31 December 2018. Using a specially devised machine-learning approach, we categorized posts into content about prevention, suicide awareness, personal suicidal ideation without coping, personal coping and recovery, suicide cases and other. We then applied seasonal autoregressive integrated moving average analyses to assess associations of tweet categories with daily calls to the US National Suicide Prevention Lifeline (Lifeline) and suicides on the same day. We hypothesized that coping-related and prevention-related tweets are associated with greater help-seeking and potentially fewer suicides.
RESULTS
The percentage of posts per category was 15.4% (standard deviation: 7.6%) for awareness, 13.8% (standard deviation: 9.4%) for prevention, 12.3% (standard deviation: 9.1%) for suicide cases, 2.4% (standard deviation: 2.1%) for suicidal ideation without coping and 0.8% (standard deviation: 1.7%) for coping posts. Tweets about prevention were positively associated with Lifeline calls ( = 1.94, SE = 0.73, = 0.008) and negatively associated with suicides ( = -0.11, standard error = 0.05, = 0.038). Total number of tweets were negatively associated with calls ( = -0.01, standard error = 0.0003, = 0.007) and positively associated with suicide, ( = 6.4 × 10, standard error = 2.6 × 10, = 0.015).
CONCLUSION
This is the first large-scale study to suggest that daily volume of specific suicide-prevention-related social media content on Twitter corresponds to higher daily levels of help-seeking behaviour and lower daily number of suicide deaths.
PREREGISTRATION
As Predicted, #66922, 26 May 2021.
目的
本研究旨在评估推特帖子的各种内容领域与向美国国家预防自杀生命线（生命线）寻求帮助以及与自杀之间的关联。
方法
我们检索了 2016 年 1 月 1 日至 2018 年 12 月 31 日期间定位在美国的 7150610 条与自杀相关的推文。使用专门设计的机器学习方法，我们将帖子分为预防、自杀意识、无应对的个人自杀意念、应对和康复、自杀案例等内容类别。然后，我们应用季节性自回归综合移动平均分析来评估推特类别与当天美国国家预防自杀生命线（生命线）的每日来电和当天自杀之间的关联。我们假设与应对相关和与预防相关的推文与更多的寻求帮助相关，并可能与更少的自杀相关。
结果
每个类别的帖子百分比为：意识类 15.4%（标准差：7.6%）、预防类 13.8%（标准差：9.4%）、自杀案例类 12.3%（标准差：9.1%）、无应对的自杀意念类 2.4%（标准差：2.1%）和应对类帖子 0.8%（标准差：1.7%）。与预防相关的推文与生命线来电呈正相关（ = 1.94，标准误差 = 0.73， = 0.008），与自杀呈负相关（ = -0.11，标准误差 = 0.05， = 0.038）。总推文数量与来电呈负相关（ = -0.01，标准误差 = 0.0003， = 0.007），与自杀呈正相关，（ = 6.4×10，标准误差 = 2.6×10， = 0.015）。
结论
这是第一项大规模研究，表明推特上特定自杀预防相关社交媒体内容的每日数量与更高水平的每日寻求帮助行为和更低水平的每日自杀死亡人数相对应。
预注册
正如预测的那样，#66922，2021 年 5 月 26 日。
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