2014
DOI: 10.1111/pcn.12254
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Analysis of impact of geographic characteristics on suicide rate and visualization of result with Geographic Information System

Abstract: Aim:The aim of our study was to understand the geographic characteristics of Japanese communities and the impact of these characteristics on suicide rates. Methods:We calculated the standardized mortality ratio from suicide statistics of 3318 municipalities from 1972 to 2002. Correlation analysis, multiregression analysis and generalized additive model were used to find the relation between topographic and climatic variables and suicide rate. We visualized the relation between geographic characteristics and su… Show more

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Cited by 27 publications
(29 citation statements)
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“…This index was created by the authors in cooperation with a map company during a previous study [22–24]. Average values were calculated for each prefecture by extracting gradient of the land directly beneath approx.…”
Section: Methodsmentioning
confidence: 99%
“…This index was created by the authors in cooperation with a map company during a previous study [22–24]. Average values were calculated for each prefecture by extracting gradient of the land directly beneath approx.…”
Section: Methodsmentioning
confidence: 99%
“…However, the results indicate that female suicide rates may be high in areas with low population density. Previous research has also shown that reduced accessibility to healthcare and social services is related to suicide [39]. Further, people living in a less densely populated area tend to suffer from depression due to poor access to medical resources [40].…”
Section: Relationship Between Community-level Social Capital Depressmentioning
confidence: 99%
“…In our regression analysis, we considered population density and the proportion of older adults in the population as potential confounders. This was suggested by a recent study indicating a negative correlation between suicide SMR and population density (Oka, Kubota, Tsubaki, & Yamauchi, 2015). The proportion of older adults in the population was determined as the number of people aged 65 years and above divided by the total population of the municipality.…”
Section: Covariatesmentioning
confidence: 99%