Literature DB >> 18451635

Seasonality and climatic associations with violent and nonviolent suicide: a population-based study.

Herng-Ching Lin1, Chin-Shyan Chen, Sudha Xirasagar, Hsin-Chien Lee.   

Abstract

BACKGROUND: Using 7-year population-based data on Taiwan, we examined seasonal variation in violent versus nonviolent suicide, and its association with meteorological factors: ambient temperature, relative humidity, atmospheric pressure, rainfall and daily sunshine hours.
METHODS: We used Taiwan's nationwide mortality data from 1997 to 2003, categorizing the sample decedents into two groups, violent (ICD-9-CM codes E953-E958) and nonviolent (E950-E952) suicide, based on the suicide method used. Seasonal autoregressive integrated moving average (SARIMA) modeling was used to detect seasonality of suicide, and the association of climate variables with violent versus nonviolent suicide.
RESULTS: The SARIMA test of seasonality was significant for both genders and the pooled sample (all p < 0.001) in violent suicide deaths, but not nonviolent suicides. Seasonal trends show a significant peak in March-May (early to late spring) for violent suicides. Increasing ambient temperature predicted increasing violent suicide rates.
CONCLUSIONS: We conclude that seasonality exists in violent but not nonviolent suicide rates. Our findings suggest that suicide is a heterogeneous phenomenon and violent suicide may be more influenced by biochemical and chronobiological mechanisms. 2008 S. Karger AG, Basel.

Mesh:

Year:  2008        PMID: 18451635     DOI: 10.1159/000129664

Source DB:  PubMed          Journal:  Neuropsychobiology        ISSN: 0302-282X            Impact factor:   2.328


  24 in total

1.  Does diurnal temperature range influence seasonal suicide mortality? Assessment of daily data of the Helsinki metropolitan area from 1973 to 2010.

Authors:  Jari Holopainen; Samuli Helama; Timo Partonen
Journal:  Int J Biometeorol       Date:  2013-06-18       Impact factor: 3.787

2.  Economic conditions and suicide rates in New York City.

Authors:  Arijit Nandi; Marta R Prescott; Magdalena Cerdá; David Vlahov; Kenneth J Tardiff; Sandro Galea
Journal:  Am J Epidemiol       Date:  2012-02-22       Impact factor: 4.897

3.  Seasonality of cerebrospinal fluid monoamine metabolite concentrations and their associations with meteorological variables in humans.

Authors:  Timothy D Brewerton; Karen T Putnam; Richard R J Lewine; S Craig Risch
Journal:  J Psychiatr Res       Date:  2018-01-12       Impact factor: 4.791

4.  Seasonality of Chinese rural young suicide and its correlates.

Authors:  Jie Zhang; Qi Gao; Cunxian Jia
Journal:  J Affect Disord       Date:  2011-06-12       Impact factor: 4.839

Review 5.  The concept of violent suicide, its underlying trait and neurobiology: A critical perspective.

Authors:  Birgit Ludwig; Yogesh Dwivedi
Journal:  Eur Neuropsychopharmacol       Date:  2017-12-15       Impact factor: 4.600

6.  Characteristics of young suicides by violent methods in rural China.

Authors:  Cun-Xian Jia; Jie Zhang
Journal:  J Forensic Sci       Date:  2011-02-03       Impact factor: 1.832

7.  Characteristics of a First Suicide Attempt that Distinguish Between Adolescents Who Make Single Versus Multiple Attempts.

Authors:  Annamarie B Defayette; Leah M Adams; Emma D Whitmyre; Caitlin A Williams; Christianne Esposito-Smythers
Journal:  Arch Suicide Res       Date:  2019-07-26

8.  Temporal patterns of charcoal burning suicides among the working age population in Hong Kong SAR: the influence of economic activity status and sex.

Authors:  Chi-kin Law; Candi M C Leung
Journal:  BMC Public Health       Date:  2012-07-06       Impact factor: 3.295

9.  Preliminary spatiotemporal analysis of the association between socio-environmental factors and suicide.

Authors:  Xin Qi; Shilu Tong; Wenbiao Hu
Journal:  Environ Health       Date:  2009-10-01       Impact factor: 5.984

10.  Gender Characteristics in Methods of Chinese Rural Young Suicides.

Authors:  Xiaomei Xu; Jie Zhang; Qin Zhou; Long Sun
Journal:  Int J Ment Health Addict       Date:  2019-04-17       Impact factor: 3.836

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