Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia bDepartment of Lung and Sleep, Monash Health, Melbourne, Australia cAdelaide Institute of Sleep Health, Flinders University, South Australia dDepartment of Psychiatry, University of Arizona, Tucson, Arizona eBehavioral Sleep Medicine Program, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania fRhinomed LTD, Richmond, Australia gMonash Centre for Health Research and Implementation, Monash University, Melbourne, Australia *Corresponding author: Darren R. Mansfield, PhD, Monash Lung and Sleep Department, Monash Health, 246 Clayton Rd Clayton 3168, Melbourne, Victoria, Australia (
Department of Lung and Sleep, Monash Health, Melbourne, Australia.
J Clin Psychiatry. 2022 Jun 22;83(4):21m14275. doi: 10.4088/JCP.21m14275.
Temporal patterns for suicide over a 24-hour period have shown mixed results among prior studies. However, analyses of 24-hour temporal patterns for wakeful actions including suicidal behavior should adjust for expected sleep requirements that inherently skew such activities to conventional wakeful times. This study analyzed the time-of-day for suicide cases from the Australian population for the year 2017, adjusting for expected sleep patterns. Identification of time-of-day trends using this methodology may reveal risk factors for suicide and potentially modifiable contributors. The Australian National Coronial Information System database was accessed, and data for completed suicide were extracted for the most recent completed year (2017). Time of suicide was allocated to one of four 6-hourly time bins across 24 hours, determined from time last seen alive and time found subsequently. Prevalence of suicide for each time bin was adjusted for the likelihood of being awake for each bin according to sleep-wake norms published from a large Australian community survey. Observed prevalence of suicide was compared to expected values predicted from likelihood of being awake across each time bin calculated as a standardized incidence ratio (SIR). For the year 2017, there were 2,808 suicides, of which 1,417 were able to be allocated into one of four 6-hourly time bins. When compared to expected values, suicides were significantly more likely to occur in the overnight bin (2301-0500; SIR = 3.93, < .001). Higher-than-expected rates of suicide overnight associated with nocturnal wakefulness may represent a modifiable risk factor for triggering suicide events.
在过去的研究中,关于 24 小时内自杀的时间模式存在混合结果。然而,对于包括自杀行为在内的清醒活动的 24 小时时间模式的分析,应该考虑到预期的睡眠需求,这些需求会使这些活动偏向传统的清醒时间。本研究分析了 2017 年澳大利亚人口中自杀案例的一天中的时间,同时调整了预期的睡眠模式。使用这种方法识别一天中的时间趋势可能会揭示自杀的风险因素,并可能发现可改变的因素。本研究访问了澳大利亚国家尸检信息系统数据库,并提取了最近一年(2017 年)完成的自杀数据。自杀时间被分配到 24 小时内四个 6 小时的时间区间之一,根据最后一次见到死者的时间和随后发现死者的时间来确定。根据从大型澳大利亚社区调查中公布的睡眠-觉醒规律,为每个时间区间调整了自杀的发生率,以适应每个区间的觉醒可能性。根据每个时间区间内的觉醒可能性计算标准化发病比(SIR),比较观察到的自杀发生率与预期值。2017 年,共有 2808 例自杀,其中 1417 例能够分配到四个 6 小时的时间区间之一。与预期值相比,自杀更有可能发生在夜间(2301-0500;SIR=3.93,<.001)。与夜间觉醒相关的夜间自杀率高于预期,可能代表了一个可改变的自杀事件触发风险因素。