[논문]Seasonality of suicide: a multi-country multi-community observational study

Yu, J.; Yang, D.; Kim, Y.; Hashizume, M.; Gasparrini, A.; Armstrong, B.; Honda, Y.; Tobias, A.; Sera, F.; Vicedo-Cabrera, A. M.; Kim, H.; Í; ñ; iguez, C.; Lavigne, E.; Ragettli, M. S.; Scovronick, N.; Acquaotta, F.; Chen, B.; Guo, Y. L.; de Sousa Zanotti Stagliori Coelho, M.; Saldiva, P.; Zanobetti, A.; Schwartz, J.; Bell, M. L.; Diaz, M.; De la Cruz Valencia, C.; Holobâ; că; , I.; Fratianni, S.; Chung, Y.

doi:10.1017/S2045796020000748

[해외논문] Seasonality of suicide: a multi-country multi-community observational study 원문보기

Epidemiology and psychiatric sciences, v.29, 2020년, pp.e163 -

Yu, J. (Department of Mathematical Sciences, Korea Advanced Institute of Science and Technology , Daejeon , South Korea) , Yang, D. (Department of Mathematical Sciences, Korea Advanced Institute of Science and Technology , Daejeon , South Korea) , Kim, Y. (Department of Global Environmental Health, Graduate School of Medicine, University of Tokyo , Tokyo , Japan) , Hashizume, M. (Department of Global Health Policy, Graduate School of Medicine, University of Tokyo , Tokyo , Japan) , Gasparrini, A. (Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine , London , UK) , Armstrong, B. (Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine , London , UK) , Honda, Y. (Faculty of Health and Sport Sciences, University of Tsukuba , Tsukuba , Japan) , Tobias, A. (Institute of Environmental Assessment and Water Research ,) , Sera, F. , Vicedo-Cabrera, A. M. , Kim, H. , Íñiguez, C. , Lavigne, E. , Ragettli, M. S. , Scovronick, N. , Acquaotta, F. , Chen, B. , Guo, Y. L. , de Sousa Zanotti Stagliori Coelho, M. , Saldiva, P. , Zanobetti, A. , Schwartz, J. , Bell, M. L. , Diaz, M. , De la Cruz Valencia, C. , Holobâcă, I. , Fratianni, S. , Chung, Y.

Abstract ▼ AI-Helper

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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