Mapping the timescale of suicidal thinking.
Mapping the timescale of suicidal thinking.
复制标题
DOI：
10.1073/pnas.2215434120
复制
发表时间：
2023-04-25
影响因子：
11.1
通讯作者：
Nock, Matthew K.
中科院分区：
文献类型：
--
作者：
Coppersmith, Daniel D. L.;Ryan, Oisin;Fortgang, Rebecca G.;Millner, Alexander J.;Kleiman, Evan M.;Nock, Matthew K.
自杀是人性中最具破坏性的一个方面，数千年来一直困扰着学者。迄今为止，大多数自杀研究都集中在确定自杀想法/行为的存在或严重程度的患病率和预测因素。令人惊讶的是，很少有研究记录自杀想法/行为的基本特性，例如当有人有自杀想法时，这种想法会持续多久？记录一种现象的基本特征对于理解、研究和治疗它是必要的。这项研究发现，自杀想法的升高状态平均持续1到3小时。这些结果提供了迄今为止最详细的表征自杀想法的时间动态。这项研究旨在确定自杀想法的时间尺度，利用实时监测数据和一些不同的分析方法。参与者是105名过去一周有自杀想法的成年人，他们完成了一项42天的实时监测研究（观察总数= 20，255）。参与者完成了两种形式的实时评估：传统的实时评估（每天间隔数小时）和高频评估（间隔10分钟超过1小时）。我们发现自杀的想法变化很快。描述性统计和马尔可夫转换模型均表明，自杀想法的升高状态平均持续1至3小时。个体在报告自杀想法升高的频率和持续时间方面表现出异质性，我们的分析表明，自杀想法的不同方面在不同的时间尺度上起作用。连续时间自回归模型表明，目前的自杀意图是预测未来的意图水平为2至3小时，而目前的自杀欲望是预测未来的自杀欲望水平为20小时。多个模型发现，自杀意图升高的平均持续时间比自杀欲望升高的持续时间短。最后，在统计建模的基础上，自杀想法的人内动力学的推断取决于数据采样的频率。例如，传统的实时评估估计自杀欲望的严重自杀状态的持续时间为9.5小时，而高频评估将估计的持续时间变为1.4小时。
Suicide is one of the most devastating aspects of human nature and has puzzled scholars for thousands of years. Most suicide research to date has focused on establishing the prevalence and predictors of the presence or severity of suicidal thoughts/behaviors. Surprisingly, little research has documented the fundamental properties of suicidal thoughts/behaviors, such as when someone has a suicidal thought, how long do such thoughts last? Documenting the basic properties of a phenomenon is necessary to understand, study, and treat it. This study found that elevated states of suicidal thinking lasted on average 1 to 3 h. These results provide the most detailed characterization to date of the temporal dynamics of suicidal thinking. This study aims to identify the timescale of suicidal thinking, leveraging real-time monitoring data and a number of different analytic approaches. Participants were 105 adults with past week suicidal thoughts who completed a 42-d real-time monitoring study (total number of observations = 20,255). Participants completed two forms of real-time assessments: traditional real-time assessments (spaced hours apart each day) and high-frequency assessments (spaced 10 min apart over 1 h). We found that suicidal thinking changes rapidly. Both descriptive statistics and Markov-switching models indicated that elevated states of suicidal thinking lasted on average 1 to 3 h. Individuals exhibited heterogeneity in how often and for how long they reported elevated suicidal thinking, and our analyses suggest that different aspects of suicidal thinking operated on different timescales. Continuous-time autoregressive models suggest that current suicidal intent is predictive of future intent levels for 2 to 3 h, while current suicidal desire is predictive of future suicidal desire levels for 20 h. Multiple models found that elevated suicidal intent has on average shorter duration than elevated suicidal desire. Finally, inferences about the within-person dynamics of suicidal thinking on the basis of statistical modeling were shown to depend on the frequency at which data was sampled. For example, traditional real-time assessments estimated the duration of severe suicidal states of suicidal desire as 9.5 h, whereas the high-frequency assessments shifted the estimated duration to 1.4 h.
登录
查看更多内容
差异时变效应模型（DTVEM）：用于密集纵向数据中诊断和建模时间滞后的工具。
影响因子：
5.4
作者：
Jacobson NC;Chow SM;Newman MG
通讯作者：
Newman MG
影响因子：
7
作者：
Haslbeck, Jonas M B;Ryan, Oisin;Robinaugh, Donald J;Waldorp, Lourens J;Borsboom, Denny
通讯作者：
Borsboom, Denny
影响因子：
3.8
作者：
de Haan-Rietdijk S;Kuppens P;Bergeman CS;Sheeber LB;Allen NB;Hamaker EL
通讯作者：
Hamaker EL
影响因子：
22.4
作者：
Fox, Kathryn R.;Huang, Xieyining;Franklin, Joseph C.
通讯作者：
Franklin, Joseph C.
影响因子：
2.8
作者：
Davidson, Collin L.;Anestis, Michael D.;Gutierrez, Peter M.
通讯作者：
Gutierrez, Peter M.