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Seasonality of suicide: a multi-country multi-community observational study

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  • 05/15/2025
Type of Material
Authors
    J. Yu, Korea Advanced Institute of Science & TechnologyD. Yang, Korea Advanced Institute of Science & TechnologyY. Kim, University of TokyoM. Hashizume, University of TokyoA. Gasparrini, London School of Hygiene & Tropical MedicineB. Armstrong, London School of Hygiene & Tropical MedicineY. Honda, University of TsukubaA. Tobias, Spanish Council of Science ResearchF. Sera, London School of Hygiene & Tropical MedicineA.M. Vicedo-Cabrera, University of BernH. Kim, Seoul National UniversityC. Iniguez, University of ValenciaE. Lavigne, University of OttawaM.S. Ragettli, Swiss Tropical and Public Health InstituteNoah Scovronick, Emory UniversityF. Acquaotta, University of TorinoB. Chen, National Health Research InstitutesY.L. Guo, National Health Research InstitutesM. de Sousa Zanotti Stagliori Coelho, University of Sao PauloP. Saldiva, University of Sao PauloA. Zanobetti, Harvard TH Chan School of Public HealthJ. Schwartz, Harvard TH Chan School of Public HealthM.L. Bell, Yale UniversityM. Diaz, National Institute of Public HealthC. de la Cruz Valencia, National Institute of Public HealthI. Holobaca, Babes Bolay UniversityS. Fratianni, University of TorinoYeonseung Chung, Korea Advanced Institute of Science & Technology
Language
  • English
Date
  • 2020-01-01
Publisher
  • CAMBRIDGE UNIV PRESS
Publication Version
Copyright Statement
  • © The Author(s) 2020
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Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 29
Start Page
  • e163
End Page
  • e163
Grant/Funding Information
  • JY, DY and YC were supported by a Senior Research grant (2019R1A2C1086194) from the National Research Foundation of Korea (NRF), funded by the Ministry of Science, ICT (Information and Communication Technologies) and Government-wide R&D Fund project for Infectious Disease (HG18C0025). YK was supported by the Japan Society for the Promotion of Science (JSPS) KAKENHI Grant Number JP19K17104 in Japan. AG and FS were supported by the Medical Research Council UK (Grant ID: MR/R013349/1) and Natural Environment Research Council (Grant ID: NE/R009384/1). NS was supported by the NIEHS-funded HERCULES Center (P30ES019776).
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Abstract
  • AimsWe aimed to investigate the heterogeneity of seasonal suicide patterns among multiple geographically, demographically and socioeconomically diverse populations.MethodsWeekly time-series data of suicide counts for 354 communities in 12 countries during 1986-2016 were analysed. Two-stage analysis was performed. In the first stage, a generalised linear model, including cyclic splines, was used to estimate seasonal patterns of suicide for each community. In the second stage, the community-specific seasonal patterns were combined for each country using meta-regression. In addition, the community-specific seasonal patterns were regressed onto community-level socioeconomic, demographic and environmental indicators using meta-regression.ResultsWe observed seasonal patterns in suicide, with the counts peaking in spring and declining to a trough in winter in most of the countries. However, the shape of seasonal patterns varied among countries from bimodal to unimodal seasonality. The amplitude of seasonal patterns (i.e. the peak/trough relative risk) also varied from 1.47 (95% confidence interval [CI]: 1.33-1.62) to 1.05 (95% CI: 1.01-1.1) among 12 countries. The subgroup difference in the seasonal pattern also varied over countries. In some countries, larger amplitude was shown for females and for the elderly population (≥65 years of age) than for males and for younger people, respectively. The subperiod difference also varied; some countries showed increasing seasonality while others showed a decrease or little change. Finally, the amplitude was larger for communities with colder climates, higher proportions of elderly people and lower unemployment rates (p-values < 0.05).ConclusionsDespite the common features of a spring peak and a winter trough, seasonal suicide patterns were largely heterogeneous in shape, amplitude, subgroup differences and temporal changes among different populations, as influenced by climate, demographic and socioeconomic conditions. Our findings may help elucidate the underlying mechanisms of seasonal suicide patterns and aid in improving the design of population-specific suicide prevention programmes based on these patterns.
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Keywords
Research Categories
  • Psychology, Clinical
  • Psychology, Social
  • Sociology, Public and Social Welfare

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