Department of Epidemiology and Quantitative Methods in Health, Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz, Brazil.
School of Medicine, Serra Talhada Campus, Universidade de Pernambuco, Brazil.
J Affect Disord. 2018 Mar 1;228:132-142. doi: 10.1016/j.jad.2017.12.008. Epub 2017 Dec 7.
suicide is a problem with world impact and the leading cause of premature deaths. The study of its distribution over time can bring a changed understanding of parameters attributed to, and the prevention of, suicide.
to identify the temporal pattern of suicide by systematic review.
Pubmed (Medline), LILACS, Virtual Health Library (VHL), Science Direct and Scopus (Elsevier), Web of Science (Thomson Reuters) and PsyNET (APA) were searched, using suicide-related descriptors and terms, for observational epidemiological studies of the temporal distribution of suicide. The review protocol was registered in PROSPERO (CRD42016038470).
The lack of uniformity in reporting or standardisation of methodology in the studies selected, hindered comparison of populations with similar socioeconomic and cultural profiles, considerably limiting the scope of the results of this review.
forty-five studies from 26 different countries were included in this review. Clear seasonal patterns were observed by day of the week, month, season and age-period-cohort effects. Few studies studied by trend, time of day or day of the month.
the review findings provide further evidence of substantial temporal patterns influenced by geographic, climatic and social conditions.
自杀是一个具有全球影响的问题,也是导致过早死亡的主要原因。研究其随时间的分布情况,可以更好地了解与自杀相关的参数,并有助于预防自杀。
通过系统综述来确定自杀的时间模式。
通过使用与自杀相关的描述词和术语,在 Pubmed(Medline)、LILACS、虚拟健康图书馆(VHL)、Science Direct 和 Scopus(Elsevier)、Web of Science(Thomson Reuters)和 PsyNET(APA)上搜索了观察性流行病学研究自杀时间分布的文章。该综述方案已在 PROSPERO(CRD42016038470)上注册。
由于所选研究报告的一致性不足或方法标准化程度较低,因此难以对具有相似社会经济和文化特征的人群进行比较,这极大地限制了本次综述结果的范围。
本综述共纳入了来自 26 个不同国家的 45 项研究。通过星期几、月份、季节和年龄-时期-队列效应,观察到了明显的季节性模式。但很少有研究关注趋势、时间或月份日期。
综述结果进一步证明了存在受地理、气候和社会条件影响的大量时间模式。