Geography of suicide in Japan: spatial patterning and rural–urban differences
Purpose There are notable geographic variations in incidence rates of suicide both in Japan and globally. Previous studies have found that rurality/urbanity shapes intra-regional differences in suicide mortality, and suicide risk associated with rurality can vary significantly by gender and age. Thi...
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description | Purpose
There are notable geographic variations in incidence rates of suicide both in Japan and globally. Previous studies have found that rurality/urbanity shapes intra-regional differences in suicide mortality, and suicide risk associated with rurality can vary significantly by gender and age. This study aimed to examine spatial patterning of and rural–urban differences in suicide mortality by gender and age group across 1887 municipalities in Japan between 2009 and 2017.
Methods
Suicide data were obtained from suicide statistics of the Ministry of Health, Labour and Welfare in Japan. We estimated smoothed standardized mortality ratios for suicide for each of the municipalities and investigated associations with level of rurality/urbanity using Bayesian hierarchical models before and after adjusting for socioeconomic characteristics.
Results
The results of the multivariate analyses showed that, for males aged 0–39 and 40–59 years, rural residents tended to have a higher suicide risk compared to urban ones. For males aged 60+ years, a distinct rural–urban gradient in suicide risk was not observed. For females aged 0–39 years, a significant association between suicide risk and rurality was not observed, while for females aged 40–59 years and females aged 60 years or above, the association was a U-shaped curve.
Conclusion
Our results showed that geographical distribution of and rural–urban differences in suicide mortality in Japan differed substantially by gender and age. These findings suggest that it is important to take demographic factors into consideration when municipalities allocate resources for suicide prevention. |
doi_str_mv | 10.1007/s00127-020-01978-7 |
format | Article |
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There are notable geographic variations in incidence rates of suicide both in Japan and globally. Previous studies have found that rurality/urbanity shapes intra-regional differences in suicide mortality, and suicide risk associated with rurality can vary significantly by gender and age. This study aimed to examine spatial patterning of and rural–urban differences in suicide mortality by gender and age group across 1887 municipalities in Japan between 2009 and 2017.
Methods
Suicide data were obtained from suicide statistics of the Ministry of Health, Labour and Welfare in Japan. We estimated smoothed standardized mortality ratios for suicide for each of the municipalities and investigated associations with level of rurality/urbanity using Bayesian hierarchical models before and after adjusting for socioeconomic characteristics.
Results
The results of the multivariate analyses showed that, for males aged 0–39 and 40–59 years, rural residents tended to have a higher suicide risk compared to urban ones. For males aged 60+ years, a distinct rural–urban gradient in suicide risk was not observed. For females aged 0–39 years, a significant association between suicide risk and rurality was not observed, while for females aged 40–59 years and females aged 60 years or above, the association was a U-shaped curve.
Conclusion
Our results showed that geographical distribution of and rural–urban differences in suicide mortality in Japan differed substantially by gender and age. These findings suggest that it is important to take demographic factors into consideration when municipalities allocate resources for suicide prevention.</description><identifier>ISSN: 0933-7954</identifier><identifier>EISSN: 1433-9285</identifier><identifier>DOI: 10.1007/s00127-020-01978-7</identifier><identifier>PMID: 33159535</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adolescent ; Adult ; Age ; Analysis ; Bayes Theorem ; Child ; Child, Preschool ; Cities ; Epidemiology ; Female ; Females ; Gender ; Geographical distribution ; Geography ; Health aspects ; Humans ; Infant ; Infant, Newborn ; Japan - epidemiology ; Male ; Males ; Medicine ; Medicine & Public Health ; Mental health ; Middle Aged ; Mortality ; Municipalities ; Original Paper ; Psychiatry ; Risk ; Rural Population ; Suicide ; Suicides & suicide attempts ; Target marketing ; Urban Population ; Young Adult</subject><ispartof>Social Psychiatry and Psychiatric Epidemiology, 2021-05, Vol.56 (5), p.731-746</ispartof><rights>The Author(s) 2020</rights><rights>COPYRIGHT 2021 Springer</rights><rights>The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c607t-5cbd635ec6fff7bf152848c244824bdab6143723622810428ae3748e766a84103</citedby><cites>FETCH-LOGICAL-c607t-5cbd635ec6fff7bf152848c244824bdab6143723622810428ae3748e766a84103</cites><orcidid>0000-0003-3316-1057</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00127-020-01978-7$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00127-020-01978-7$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33159535$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yoshioka, Eiji</creatorcontrib><creatorcontrib>Hanley, Sharon J. B.</creatorcontrib><creatorcontrib>Sato, Yukihiro</creatorcontrib><creatorcontrib>Saijo, Yasuaki</creatorcontrib><title>Geography of suicide in Japan: spatial patterning and rural–urban differences</title><title>Social Psychiatry and Psychiatric Epidemiology</title><addtitle>Soc Psychiatry Psychiatr Epidemiol</addtitle><addtitle>Soc Psychiatry Psychiatr Epidemiol</addtitle><description>Purpose
There are notable geographic variations in incidence rates of suicide both in Japan and globally. Previous studies have found that rurality/urbanity shapes intra-regional differences in suicide mortality, and suicide risk associated with rurality can vary significantly by gender and age. This study aimed to examine spatial patterning of and rural–urban differences in suicide mortality by gender and age group across 1887 municipalities in Japan between 2009 and 2017.
Methods
Suicide data were obtained from suicide statistics of the Ministry of Health, Labour and Welfare in Japan. We estimated smoothed standardized mortality ratios for suicide for each of the municipalities and investigated associations with level of rurality/urbanity using Bayesian hierarchical models before and after adjusting for socioeconomic characteristics.
Results
The results of the multivariate analyses showed that, for males aged 0–39 and 40–59 years, rural residents tended to have a higher suicide risk compared to urban ones. For males aged 60+ years, a distinct rural–urban gradient in suicide risk was not observed. For females aged 0–39 years, a significant association between suicide risk and rurality was not observed, while for females aged 40–59 years and females aged 60 years or above, the association was a U-shaped curve.
Conclusion
Our results showed that geographical distribution of and rural–urban differences in suicide mortality in Japan differed substantially by gender and age. These findings suggest that it is important to take demographic factors into consideration when municipalities allocate resources for suicide prevention.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Age</subject><subject>Analysis</subject><subject>Bayes Theorem</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Cities</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Females</subject><subject>Gender</subject><subject>Geographical distribution</subject><subject>Geography</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Infant</subject><subject>Infant, Newborn</subject><subject>Japan - epidemiology</subject><subject>Male</subject><subject>Males</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Mental health</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Municipalities</subject><subject>Original Paper</subject><subject>Psychiatry</subject><subject>Risk</subject><subject>Rural Population</subject><subject>Suicide</subject><subject>Suicides & suicide attempts</subject><subject>Target marketing</subject><subject>Urban Population</subject><subject>Young Adult</subject><issn>0933-7954</issn><issn>1433-9285</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9Us1qFTEYDaLYa_UFXMiAGzdT85-MC6EUrUqhG12HTObLNGVuMiYzhe58B9_QJzHXW1srIll8Id8558tJDkLPCT4iGKvXBWNCVYspbjHplG7VA7QhnLG2o1o8RBvc1b3qBD9AT0q5xBizTrHH6IAxIjrBxAadn0Ias50vrpvkm7IGFwZoQmw-2dnGN02Z7RLs1NSyQI4hjo2NQ5PXbKcf376vubexGYL3kCE6KE_RI2-nAs9u6iH68v7d55MP7dn56ceT47PWSayWVrh-kEyAk9571XsiqObaUc415f1ge1l9KMokpZpgTrUFprgGJaXVnGB2iN7udee138LgIC71RmbOYWvztUk2mPudGC7MmK6MxlIroqrAqxuBnL6uUBazDcXBNNkIaS2GcqEVpR2jFfryL-hlWnOs9gwVREnFqpU71GgnMCH6VOe6nag5VkRyRiXZaR39A1XXANvgUgQf6vk9At0TXE6lZPC3Hgk2uxiYfQxMjYH5FQOzM_fiz9e5pfz-9wpge0CprThCvrP0H9mfXT28Xw</recordid><startdate>20210501</startdate><enddate>20210501</enddate><creator>Yoshioka, Eiji</creator><creator>Hanley, Sharon J. B.</creator><creator>Sato, Yukihiro</creator><creator>Saijo, Yasuaki</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2O</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-3316-1057</orcidid></search><sort><creationdate>20210501</creationdate><title>Geography of suicide in Japan: spatial patterning and rural–urban differences</title><author>Yoshioka, Eiji ; Hanley, Sharon J. B. ; Sato, Yukihiro ; Saijo, Yasuaki</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c607t-5cbd635ec6fff7bf152848c244824bdab6143723622810428ae3748e766a84103</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Age</topic><topic>Analysis</topic><topic>Bayes Theorem</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Cities</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Females</topic><topic>Gender</topic><topic>Geographical distribution</topic><topic>Geography</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Infant</topic><topic>Infant, Newborn</topic><topic>Japan - epidemiology</topic><topic>Male</topic><topic>Males</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Mental health</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Municipalities</topic><topic>Original Paper</topic><topic>Psychiatry</topic><topic>Risk</topic><topic>Rural Population</topic><topic>Suicide</topic><topic>Suicides & suicide attempts</topic><topic>Target marketing</topic><topic>Urban Population</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yoshioka, Eiji</creatorcontrib><creatorcontrib>Hanley, Sharon J. B.</creatorcontrib><creatorcontrib>Sato, Yukihiro</creatorcontrib><creatorcontrib>Saijo, Yasuaki</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Social Psychiatry and Psychiatric Epidemiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yoshioka, Eiji</au><au>Hanley, Sharon J. B.</au><au>Sato, Yukihiro</au><au>Saijo, Yasuaki</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Geography of suicide in Japan: spatial patterning and rural–urban differences</atitle><jtitle>Social Psychiatry and Psychiatric Epidemiology</jtitle><stitle>Soc Psychiatry Psychiatr Epidemiol</stitle><addtitle>Soc Psychiatry Psychiatr Epidemiol</addtitle><date>2021-05-01</date><risdate>2021</risdate><volume>56</volume><issue>5</issue><spage>731</spage><epage>746</epage><pages>731-746</pages><issn>0933-7954</issn><eissn>1433-9285</eissn><abstract>Purpose
There are notable geographic variations in incidence rates of suicide both in Japan and globally. Previous studies have found that rurality/urbanity shapes intra-regional differences in suicide mortality, and suicide risk associated with rurality can vary significantly by gender and age. This study aimed to examine spatial patterning of and rural–urban differences in suicide mortality by gender and age group across 1887 municipalities in Japan between 2009 and 2017.
Methods
Suicide data were obtained from suicide statistics of the Ministry of Health, Labour and Welfare in Japan. We estimated smoothed standardized mortality ratios for suicide for each of the municipalities and investigated associations with level of rurality/urbanity using Bayesian hierarchical models before and after adjusting for socioeconomic characteristics.
Results
The results of the multivariate analyses showed that, for males aged 0–39 and 40–59 years, rural residents tended to have a higher suicide risk compared to urban ones. For males aged 60+ years, a distinct rural–urban gradient in suicide risk was not observed. For females aged 0–39 years, a significant association between suicide risk and rurality was not observed, while for females aged 40–59 years and females aged 60 years or above, the association was a U-shaped curve.
Conclusion
Our results showed that geographical distribution of and rural–urban differences in suicide mortality in Japan differed substantially by gender and age. These findings suggest that it is important to take demographic factors into consideration when municipalities allocate resources for suicide prevention.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>33159535</pmid><doi>10.1007/s00127-020-01978-7</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0003-3316-1057</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Age Analysis Bayes Theorem Child Child, Preschool Cities Epidemiology Female Females Gender Geographical distribution Geography Health aspects Humans Infant Infant, Newborn Japan - epidemiology Male Males Medicine Medicine & Public Health Mental health Middle Aged Mortality Municipalities Original Paper Psychiatry Risk Rural Population Suicide Suicides & suicide attempts Target marketing Urban Population Young Adult |
title | Geography of suicide in Japan: spatial patterning and rural–urban differences |
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