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...
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Veröffentlicht in: | Social science & medicine (1982) 1996-08, Vol.43 (4), p.489-502 |
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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 |
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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 & 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</subject><ispartof>Social science & medicine (1982), 1996-08, Vol.43 (4), p.489-502</ispartof><rights>1996 INIST-CNRS</rights><rights>Copyright Pergamon Press Inc. 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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 & 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 & numerical data</subject><subject>Sex Differences</subject><subject>Socioeconomic Factors</subject><subject>Spatial distribution</subject><subject>Suicide</subject><subject>Suicide - prevention & control</subject><subject>Suicide - statistics & numerical data</subject><subject>United Kingdom</subject><subject>Urban Population - statistics & 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 & numerical data</topic><topic>Sex Differences</topic><topic>Socioeconomic Factors</topic><topic>Spatial distribution</topic><topic>Suicide</topic><topic>Suicide - prevention & control</topic><topic>Suicide - statistics & numerical data</topic><topic>United Kingdom</topic><topic>Urban Population - statistics & 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. 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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> |
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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 |
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