A study of the geographical distribution of suicide rates in England and Wales 1989-92 using empirical bayes estimates

In order to achieve the suicide reduction targets proposed by the U.K. Government's The Health of the Nation document, it is necessary to determine its geographical distribution. This objective is approached using district level data for England and Wales, aggregated for 1989-92. Two techniques...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Social science & medicine (1982) 1996-08, Vol.43 (4), p.489-502
Hauptverfasser: SAUNDERSON, T. R, LANGFORD, I. H
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 502
container_issue 4
container_start_page 489
container_title Social science & medicine (1982)
container_volume 43
creator SAUNDERSON, T. R
LANGFORD, I. H
description In order to achieve the suicide reduction targets proposed by the U.K. Government's The Health of the Nation document, it is necessary to determine its geographical distribution. This objective is approached using district level data for England and Wales, aggregated for 1989-92. Two techniques are used, and compared. The first is the traditional method of mapping Standardized Mortality Ratios (SMR), expressed as relative risks. The second technique employed is the relatively new method of empirical Bayes estimates (EBE). It is shown that this is a superior measure for an initial investigation of the distribution of suicide, as relative risks for this comparatively rare condition are highly dependent on the population size of the areas studied. Discernible trends of high risk are shown in high population density, urban areas for both sexes, and in economically depressed agricultural, rural areas for men. The effects of economic hardship, unemployment and social disintegration are suggested as contributing to this distribution in an initiatory or exacerbatory capacity, for those suffering from psychiatric vulnerability or existing mental illness. Suggestions are made for more detailed analyses of high risk areas.
doi_str_mv 10.1016/0277-9536(95)00427-0
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_proquest_miscellaneous_78396752</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>61480136</sourcerecordid><originalsourceid>FETCH-LOGICAL-p355t-b5b7461878f6c0790aa7c691cc6159f55e0c7742b5f8f538b5fa0d01bb413c613</originalsourceid><addsrcrecordid>eNqF0Utr3DAQAGARGtLNtv8gBVFCSA5uR9ZrdAwhLwjkktCjkWV5o-C1HckO7L-vtl1yyGUPYkDzaUYaEXLC4BcDpn5DqXVhJFfnRl4AiFIXcEAWDDUvJBf6C1l8kK_kOKVXAGCA_IgcIQphJCzI-yVN09xs6NDS6cXTlR9W0Y4vwdmONiFNMdTzFIZ-C9IcXGg8jXbyiYaeXverzvYN3a4_tsubzKApTEnnFPoV9esxxH-larvJWZ-msN4e_kYOW9sl_30Xl-T55vrp6q54eLy9v7p8KEYu5VTUstZC5RdhqxxoA9ZqpwxzTjFpWik9OK1FWcsWW8kxRwsNsLoWjGfDl-Tsf90xDm9zbl-tQ3K-y7f2w5wqjdwoLcu9UDGBwLjaC6VGQES5F3I0yLCEDH9-gq_DHPs8lqrkIJCVQmf0Y4fmeu2baox5kHFT7T4y5093eZvyvNtoexfSB-MMBSrD_wIbyqr-</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>230481247</pqid></control><display><type>article</type><title>A study of the geographical distribution of suicide rates in England and Wales 1989-92 using empirical bayes estimates</title><source>Applied Social Sciences Index &amp; Abstracts (ASSIA)</source><source>MEDLINE</source><source>Access via ScienceDirect (Elsevier)</source><source>Sociological Abstracts</source><creator>SAUNDERSON, T. R ; LANGFORD, I. H</creator><creatorcontrib>SAUNDERSON, T. R ; LANGFORD, I. H</creatorcontrib><description>In order to achieve the suicide reduction targets proposed by the U.K. Government's The Health of the Nation document, it is necessary to determine its geographical distribution. This objective is approached using district level data for England and Wales, aggregated for 1989-92. Two techniques are used, and compared. The first is the traditional method of mapping Standardized Mortality Ratios (SMR), expressed as relative risks. The second technique employed is the relatively new method of empirical Bayes estimates (EBE). It is shown that this is a superior measure for an initial investigation of the distribution of suicide, as relative risks for this comparatively rare condition are highly dependent on the population size of the areas studied. Discernible trends of high risk are shown in high population density, urban areas for both sexes, and in economically depressed agricultural, rural areas for men. The effects of economic hardship, unemployment and social disintegration are suggested as contributing to this distribution in an initiatory or exacerbatory capacity, for those suffering from psychiatric vulnerability or existing mental illness. Suggestions are made for more detailed analyses of high risk areas.</description><identifier>ISSN: 0277-9536</identifier><identifier>EISSN: 1873-5347</identifier><identifier>DOI: 10.1016/0277-9536(95)00427-0</identifier><identifier>PMID: 8844950</identifier><identifier>CODEN: SSMDEP</identifier><language>eng</language><publisher>Oxford: Elsevier</publisher><subject>1989-1992 ; Adolescent ; Adult ; Age Differences ; Aged ; Bayes Theorem ; Biological and medical sciences ; Cross-Cultural Comparison ; Cross-Sectional Studies ; Empirical Methods ; England ; England - epidemiology ; England and Wales ; Epidemiology ; Estimation ; Female ; General aspects ; Geographic Distribution ; Geographic variations ; Health care ; Humans ; Incidence ; Male ; Medical sciences ; Methodology ; Middle Aged ; Mortality Rates ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Rates ; Regional Differences ; Risk ; Rural Population - statistics &amp; numerical data ; Sex Differences ; Socioeconomic Factors ; Spatial distribution ; Suicide ; Suicide - prevention &amp; control ; Suicide - statistics &amp; numerical data ; United Kingdom ; Urban Population - statistics &amp; numerical data ; Wales ; Wales - epidemiology</subject><ispartof>Social science &amp; medicine (1982), 1996-08, Vol.43 (4), p.489-502</ispartof><rights>1996 INIST-CNRS</rights><rights>Copyright Pergamon Press Inc. Aug 1996</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925,31000,33774,33775</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=3184869$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/8844950$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>SAUNDERSON, T. R</creatorcontrib><creatorcontrib>LANGFORD, I. H</creatorcontrib><title>A study of the geographical distribution of suicide rates in England and Wales 1989-92 using empirical bayes estimates</title><title>Social science &amp; medicine (1982)</title><addtitle>Soc Sci Med</addtitle><description>In order to achieve the suicide reduction targets proposed by the U.K. Government's The Health of the Nation document, it is necessary to determine its geographical distribution. This objective is approached using district level data for England and Wales, aggregated for 1989-92. Two techniques are used, and compared. The first is the traditional method of mapping Standardized Mortality Ratios (SMR), expressed as relative risks. The second technique employed is the relatively new method of empirical Bayes estimates (EBE). It is shown that this is a superior measure for an initial investigation of the distribution of suicide, as relative risks for this comparatively rare condition are highly dependent on the population size of the areas studied. Discernible trends of high risk are shown in high population density, urban areas for both sexes, and in economically depressed agricultural, rural areas for men. The effects of economic hardship, unemployment and social disintegration are suggested as contributing to this distribution in an initiatory or exacerbatory capacity, for those suffering from psychiatric vulnerability or existing mental illness. Suggestions are made for more detailed analyses of high risk areas.</description><subject>1989-1992</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Age Differences</subject><subject>Aged</subject><subject>Bayes Theorem</subject><subject>Biological and medical sciences</subject><subject>Cross-Cultural Comparison</subject><subject>Cross-Sectional Studies</subject><subject>Empirical Methods</subject><subject>England</subject><subject>England - epidemiology</subject><subject>England and Wales</subject><subject>Epidemiology</subject><subject>Estimation</subject><subject>Female</subject><subject>General aspects</subject><subject>Geographic Distribution</subject><subject>Geographic variations</subject><subject>Health care</subject><subject>Humans</subject><subject>Incidence</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Methodology</subject><subject>Middle Aged</subject><subject>Mortality Rates</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Rates</subject><subject>Regional Differences</subject><subject>Risk</subject><subject>Rural Population - statistics &amp; numerical data</subject><subject>Sex Differences</subject><subject>Socioeconomic Factors</subject><subject>Spatial distribution</subject><subject>Suicide</subject><subject>Suicide - prevention &amp; control</subject><subject>Suicide - statistics &amp; numerical data</subject><subject>United Kingdom</subject><subject>Urban Population - statistics &amp; numerical data</subject><subject>Wales</subject><subject>Wales - epidemiology</subject><issn>0277-9536</issn><issn>1873-5347</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1996</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BHHNA</sourceid><sourceid>7QJ</sourceid><recordid>eNqF0Utr3DAQAGARGtLNtv8gBVFCSA5uR9ZrdAwhLwjkktCjkWV5o-C1HckO7L-vtl1yyGUPYkDzaUYaEXLC4BcDpn5DqXVhJFfnRl4AiFIXcEAWDDUvJBf6C1l8kK_kOKVXAGCA_IgcIQphJCzI-yVN09xs6NDS6cXTlR9W0Y4vwdmONiFNMdTzFIZ-C9IcXGg8jXbyiYaeXverzvYN3a4_tsubzKApTEnnFPoV9esxxH-larvJWZ-msN4e_kYOW9sl_30Xl-T55vrp6q54eLy9v7p8KEYu5VTUstZC5RdhqxxoA9ZqpwxzTjFpWik9OK1FWcsWW8kxRwsNsLoWjGfDl-Tsf90xDm9zbl-tQ3K-y7f2w5wqjdwoLcu9UDGBwLjaC6VGQES5F3I0yLCEDH9-gq_DHPs8lqrkIJCVQmf0Y4fmeu2baox5kHFT7T4y5093eZvyvNtoexfSB-MMBSrD_wIbyqr-</recordid><startdate>19960801</startdate><enddate>19960801</enddate><creator>SAUNDERSON, T. R</creator><creator>LANGFORD, I. H</creator><general>Elsevier</general><general>Pergamon Press Inc</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7U3</scope><scope>7U4</scope><scope>8BJ</scope><scope>BHHNA</scope><scope>DWI</scope><scope>FQK</scope><scope>JBE</scope><scope>K9.</scope><scope>WZK</scope><scope>7QJ</scope><scope>7X8</scope></search><sort><creationdate>19960801</creationdate><title>A study of the geographical distribution of suicide rates in England and Wales 1989-92 using empirical bayes estimates</title><author>SAUNDERSON, T. R ; LANGFORD, I. H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p355t-b5b7461878f6c0790aa7c691cc6159f55e0c7742b5f8f538b5fa0d01bb413c613</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1996</creationdate><topic>1989-1992</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Age Differences</topic><topic>Aged</topic><topic>Bayes Theorem</topic><topic>Biological and medical sciences</topic><topic>Cross-Cultural Comparison</topic><topic>Cross-Sectional Studies</topic><topic>Empirical Methods</topic><topic>England</topic><topic>England - epidemiology</topic><topic>England and Wales</topic><topic>Epidemiology</topic><topic>Estimation</topic><topic>Female</topic><topic>General aspects</topic><topic>Geographic Distribution</topic><topic>Geographic variations</topic><topic>Health care</topic><topic>Humans</topic><topic>Incidence</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Methodology</topic><topic>Middle Aged</topic><topic>Mortality Rates</topic><topic>Public health. Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>Rates</topic><topic>Regional Differences</topic><topic>Risk</topic><topic>Rural Population - statistics &amp; numerical data</topic><topic>Sex Differences</topic><topic>Socioeconomic Factors</topic><topic>Spatial distribution</topic><topic>Suicide</topic><topic>Suicide - prevention &amp; control</topic><topic>Suicide - statistics &amp; numerical data</topic><topic>United Kingdom</topic><topic>Urban Population - statistics &amp; numerical data</topic><topic>Wales</topic><topic>Wales - epidemiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>SAUNDERSON, T. R</creatorcontrib><creatorcontrib>LANGFORD, I. H</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>Social Services Abstracts</collection><collection>Sociological Abstracts (pre-2017)</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Sociological Abstracts</collection><collection>Sociological Abstracts</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Sociological Abstracts (Ovid)</collection><collection>Applied Social Sciences Index &amp; Abstracts (ASSIA)</collection><collection>MEDLINE - Academic</collection><jtitle>Social science &amp; medicine (1982)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>SAUNDERSON, T. R</au><au>LANGFORD, I. H</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A study of the geographical distribution of suicide rates in England and Wales 1989-92 using empirical bayes estimates</atitle><jtitle>Social science &amp; medicine (1982)</jtitle><addtitle>Soc Sci Med</addtitle><date>1996-08-01</date><risdate>1996</risdate><volume>43</volume><issue>4</issue><spage>489</spage><epage>502</epage><pages>489-502</pages><issn>0277-9536</issn><eissn>1873-5347</eissn><coden>SSMDEP</coden><abstract>In order to achieve the suicide reduction targets proposed by the U.K. Government's The Health of the Nation document, it is necessary to determine its geographical distribution. This objective is approached using district level data for England and Wales, aggregated for 1989-92. Two techniques are used, and compared. The first is the traditional method of mapping Standardized Mortality Ratios (SMR), expressed as relative risks. The second technique employed is the relatively new method of empirical Bayes estimates (EBE). It is shown that this is a superior measure for an initial investigation of the distribution of suicide, as relative risks for this comparatively rare condition are highly dependent on the population size of the areas studied. Discernible trends of high risk are shown in high population density, urban areas for both sexes, and in economically depressed agricultural, rural areas for men. The effects of economic hardship, unemployment and social disintegration are suggested as contributing to this distribution in an initiatory or exacerbatory capacity, for those suffering from psychiatric vulnerability or existing mental illness. Suggestions are made for more detailed analyses of high risk areas.</abstract><cop>Oxford</cop><pub>Elsevier</pub><pmid>8844950</pmid><doi>10.1016/0277-9536(95)00427-0</doi><tpages>14</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0277-9536
ispartof Social science & medicine (1982), 1996-08, Vol.43 (4), p.489-502
issn 0277-9536
1873-5347
language eng
recordid cdi_proquest_miscellaneous_78396752
source Applied Social Sciences Index & Abstracts (ASSIA); MEDLINE; Access via ScienceDirect (Elsevier); Sociological Abstracts
subjects 1989-1992
Adolescent
Adult
Age Differences
Aged
Bayes Theorem
Biological and medical sciences
Cross-Cultural Comparison
Cross-Sectional Studies
Empirical Methods
England
England - epidemiology
England and Wales
Epidemiology
Estimation
Female
General aspects
Geographic Distribution
Geographic variations
Health care
Humans
Incidence
Male
Medical sciences
Methodology
Middle Aged
Mortality Rates
Public health. Hygiene
Public health. Hygiene-occupational medicine
Rates
Regional Differences
Risk
Rural Population - statistics & numerical data
Sex Differences
Socioeconomic Factors
Spatial distribution
Suicide
Suicide - prevention & control
Suicide - statistics & numerical data
United Kingdom
Urban Population - statistics & numerical data
Wales
Wales - epidemiology
title A study of the geographical distribution of suicide rates in England and Wales 1989-92 using empirical bayes estimates
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T09%3A45%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20study%20of%20the%20geographical%20distribution%20of%20suicide%20rates%20in%20England%20and%20Wales%201989-92%20using%20empirical%20bayes%20estimates&rft.jtitle=Social%20science%20&%20medicine%20(1982)&rft.au=SAUNDERSON,%20T.%20R&rft.date=1996-08-01&rft.volume=43&rft.issue=4&rft.spage=489&rft.epage=502&rft.pages=489-502&rft.issn=0277-9536&rft.eissn=1873-5347&rft.coden=SSMDEP&rft_id=info:doi/10.1016/0277-9536(95)00427-0&rft_dat=%3Cproquest_pubme%3E61480136%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=230481247&rft_id=info:pmid/8844950&rfr_iscdi=true