The monthly and weekly distribution of suicide

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Abstract

First a review of recent studies of the monthly and weekly distribution of suicide is given. Then the results of an analysis of the mortality figures for Lower Saxony from 1968 to 1977 are presented in which age, sex and means of suicide are taken into consideration. The monthly distribution of all suicides (ICD8 E950-E958) shows a maximum incidence in spring and early summer and a minimum in winter, the weekly distribution a maximum on Monday and minimum at the weekend. In contrast to suicides by hanging, strangulation and suffocation (ICD8 E953) which follow the same pattern, the figures for suicide by poisoning with solid and fluid substances (ICD8 E950) show practically no heterogeneity in both, monthly and weekly distributions. The results are interpreted using Durkheim's concept of ‘anomia’, drawing an analogy between the days of the week and the months of the year.

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      In 84% of the studies, the information on suicide originated in official figures from institutes of statistics, health and epidemiology. Eight studies brought together information from medico-legal (Abel and Welte, 1987; Araki et al., 1986; Christodoulou et al., 2009; Gad ElHak et al., 2009; Retamal and Humphreys, 1998; Sánchez et al., 2005), judicial (Sáez Rodríguez et al., 2012) and police (Rock et al., 2003) sources, two studies did not specify clearly their data sources (Granberg and Westerberg, 1999; Massing and Angermeyer, 1985) and one drew its information from a suicide prevention project (Partonen et al., 2004b). Statistical techniques employed by the selected studies were as follows: regression was used in eighteen (harmonic in four (Bridges et al., 2005; Chen et al., 2010; Parker et al., 2001; Partonen et al., 2004a), log-linear in four (Abel and Welte, 1987; Ajdacic-Gross et al., 2006; Flisher et al., 1997; Phillips, 2014), Poisson in four (Granizo et al., 1996; Jukkala et al., 2017; La Vecchia et al., 1986; Rodrigues and Werneck, 2005), Joinpoint in three (Bando et al., 2012; Doğan and Toprak, 2015; Park et al., 2016), Fourier-Poisson in one (Bramness et al., 2015), polynomial in one (Minayo et al., 2012) and one with no further detail (Law and De Leo, 2013)); nine studies used time series analysis (TSA), in most cases applying ARIMA (Ajdacic-Gross et al., 2007, 2008a; Encrenaz et al., 2012; Mlodozeniec et al., 2010; Sánchez et al., 2005) and SARIMA (Lin et al., 2008) models, one with periodogram and Fisher test (Bando et al., 2009) and two did not specify model (Nayha, 1982; Partonen et al., 2004b); nine studies used the chi-square test (χ2) (Bridges et al., 2005; Christodoulou et al., 2009; Gad ElHak et al., 2009; Lester, 1979; Maldonado and Kraus, 1991; Massing and Angermeyer, 1985; Rihmer et al., 1998; Sáez Rodríguez et al., 2012; Sun et al., 2011); four used spectral analysis (Ajdacic-Gross et al., 2003; Chen et al., 2010; Oravecz et al., 2006; Rock et al., 2003); two used the Edwards test (Ajdacic-Gross et al., 2003; Bazas et al., 1979); two used profile analysis (F test) (Araki et al., 1986; Araki and Murata, 1987); two used variance analysis (Granberg and Westerberg, 1999; Retamal and Humphreys, 1998).

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