Community Characteristics Associated with Elder Abuse
OBJECTIVES: To help define the relationship between elder abuse rates and counties' demographics, healthcare resources, and social service characteristics. DESIGN: County‐level data from Iowa were analyzed to test the association between county characteristics and rates of elder abuse between 1...
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| Veröffentlicht in: | Journal of the American Geriatrics Society (JAGS) 2000-05, Vol.48 (5), p.513-518 |
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| container_title | Journal of the American Geriatrics Society (JAGS) |
| container_volume | 48 |
| creator | Jogerst, Gerald J. Dawson, Jeffrey D. Hartz, Arthur J. Ely, John W. Schweitzer, L. A. |
| description | OBJECTIVES: To help define the relationship between elder abuse rates and counties' demographics, healthcare resources, and social service characteristics.
DESIGN: County‐level data from Iowa were analyzed to test the association between county characteristics and rates of elder abuse between 1984 and 1993 using univariate correlation analysis and stagewise linear regression.
SETTING: Ninety‐nine counties in Iowa.
PARTICIPANTS: Iowa residents aged 65 years and older.
MEASUREMENTS: County‐level population‐adjusted numbers of abused elderly, abused children, children in poverty, high school dropouts, physicians and other healthcare providers, hospital beds, social workers and caseworkers in the Department of Human Services (DHS).
RESULTS: Community characteristics that had a positive association with rates of reported or substantiated elder abuse at the P < .001 level were population density, children in poverty, and reported child abuse. Lower substantiated elder abuse rates were associated at P < .05 with higher community rates of high school dropouts, number of chiropractors, and number of nurse practitioners. After adjusting for number of DHS caseworkers and reported child abuse rates (a surrogate for workload) a district effect persists for substantiated elder abuse cases (P = .002).
CONCLUSION: County demographics are risk factors for reported and substantiated elder abuse. The strongest risk factor for reported elder abuse was reported child abuse. The difference in districts may reflect differences in resources and/or differing characteristics of caseworkers who substantiate elder abuse. The risk factors may reflect conditions that influence the amount of elder abuse or the detection of existing elder abuse. J Am Geriatr Soc 48: 513–518, 2000. |
| doi_str_mv | 10.1111/j.1532-5415.2000.tb04997.x |
| format | Article |
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DESIGN: County‐level data from Iowa were analyzed to test the association between county characteristics and rates of elder abuse between 1984 and 1993 using univariate correlation analysis and stagewise linear regression.
SETTING: Ninety‐nine counties in Iowa.
PARTICIPANTS: Iowa residents aged 65 years and older.
MEASUREMENTS: County‐level population‐adjusted numbers of abused elderly, abused children, children in poverty, high school dropouts, physicians and other healthcare providers, hospital beds, social workers and caseworkers in the Department of Human Services (DHS).
RESULTS: Community characteristics that had a positive association with rates of reported or substantiated elder abuse at the P < .001 level were population density, children in poverty, and reported child abuse. Lower substantiated elder abuse rates were associated at P < .05 with higher community rates of high school dropouts, number of chiropractors, and number of nurse practitioners. After adjusting for number of DHS caseworkers and reported child abuse rates (a surrogate for workload) a district effect persists for substantiated elder abuse cases (P = .002).
CONCLUSION: County demographics are risk factors for reported and substantiated elder abuse. The strongest risk factor for reported elder abuse was reported child abuse. The difference in districts may reflect differences in resources and/or differing characteristics of caseworkers who substantiate elder abuse. The risk factors may reflect conditions that influence the amount of elder abuse or the detection of existing elder abuse. J Am Geriatr Soc 48: 513–518, 2000.</description><identifier>ISSN: 0002-8614</identifier><identifier>EISSN: 1532-5415</identifier><identifier>DOI: 10.1111/j.1532-5415.2000.tb04997.x</identifier><identifier>PMID: 10811544</identifier><identifier>CODEN: JAGSAF</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Adult abuse ; Aged ; Biological and medical sciences ; Child Abuse - statistics & numerical data ; Child, Preschool ; Community Health Services - statistics & numerical data ; Community living ; Counties ; Demographics ; Demography ; Elder abuse ; Elder Abuse - statistics & numerical data ; elder mistreatment ; Elderly people ; Health care ; Humans ; Incidence ; Iowa - epidemiology ; Logistic Models ; Medical sciences ; Miscellaneous ; Older people ; Poverty ; Prevention and actions ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Risk Factors ; Social aspects ; Social services ; Social Work</subject><ispartof>Journal of the American Geriatrics Society (JAGS), 2000-05, Vol.48 (5), p.513-518</ispartof><rights>2000 The American Geriatrics Society</rights><rights>2000 INIST-CNRS</rights><rights>Copyright Lippincott Williams & Wilkins May 2000</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4967-2d636b18d471f147fd1ab8886f407288f37617c563d1e79feaa01b8ddf292513</citedby><cites>FETCH-LOGICAL-c4967-2d636b18d471f147fd1ab8886f407288f37617c563d1e79feaa01b8ddf292513</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fj.1532-5415.2000.tb04997.x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fj.1532-5415.2000.tb04997.x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,31000,45574,45575</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=1429049$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/10811544$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jogerst, Gerald J.</creatorcontrib><creatorcontrib>Dawson, Jeffrey D.</creatorcontrib><creatorcontrib>Hartz, Arthur J.</creatorcontrib><creatorcontrib>Ely, John W.</creatorcontrib><creatorcontrib>Schweitzer, L. A.</creatorcontrib><title>Community Characteristics Associated with Elder Abuse</title><title>Journal of the American Geriatrics Society (JAGS)</title><addtitle>J Am Geriatr Soc</addtitle><description>OBJECTIVES: To help define the relationship between elder abuse rates and counties' demographics, healthcare resources, and social service characteristics.
DESIGN: County‐level data from Iowa were analyzed to test the association between county characteristics and rates of elder abuse between 1984 and 1993 using univariate correlation analysis and stagewise linear regression.
SETTING: Ninety‐nine counties in Iowa.
PARTICIPANTS: Iowa residents aged 65 years and older.
MEASUREMENTS: County‐level population‐adjusted numbers of abused elderly, abused children, children in poverty, high school dropouts, physicians and other healthcare providers, hospital beds, social workers and caseworkers in the Department of Human Services (DHS).
RESULTS: Community characteristics that had a positive association with rates of reported or substantiated elder abuse at the P < .001 level were population density, children in poverty, and reported child abuse. Lower substantiated elder abuse rates were associated at P < .05 with higher community rates of high school dropouts, number of chiropractors, and number of nurse practitioners. After adjusting for number of DHS caseworkers and reported child abuse rates (a surrogate for workload) a district effect persists for substantiated elder abuse cases (P = .002).
CONCLUSION: County demographics are risk factors for reported and substantiated elder abuse. The strongest risk factor for reported elder abuse was reported child abuse. The difference in districts may reflect differences in resources and/or differing characteristics of caseworkers who substantiate elder abuse. The risk factors may reflect conditions that influence the amount of elder abuse or the detection of existing elder abuse. J Am Geriatr Soc 48: 513–518, 2000.</description><subject>Adult abuse</subject><subject>Aged</subject><subject>Biological and medical sciences</subject><subject>Child Abuse - statistics & numerical data</subject><subject>Child, Preschool</subject><subject>Community Health Services - statistics & numerical data</subject><subject>Community living</subject><subject>Counties</subject><subject>Demographics</subject><subject>Demography</subject><subject>Elder abuse</subject><subject>Elder Abuse - statistics & numerical data</subject><subject>elder mistreatment</subject><subject>Elderly people</subject><subject>Health care</subject><subject>Humans</subject><subject>Incidence</subject><subject>Iowa - epidemiology</subject><subject>Logistic Models</subject><subject>Medical sciences</subject><subject>Miscellaneous</subject><subject>Older people</subject><subject>Poverty</subject><subject>Prevention and actions</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Risk Factors</subject><subject>Social aspects</subject><subject>Social services</subject><subject>Social Work</subject><issn>0002-8614</issn><issn>1532-5415</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2000</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><recordid>eNqVkVtr3DAQhUVpaTZp_0IxofTNrkYXS-pLWZZk0yb0QgOFvghZkom39jqVbLL77yPjJQ15KdWLBPPNGc05CJ0CLiCd95sCOCU5Z8ALgjEuhgozpUSxe4YWD6XnaJFqJJclsCN0HOMGYyBYypfoCLAE4IwtEF_1XTdum2GfrW5MMHbwoYlDY2O2jLG3jRm8y-6a4SY7a50P2bIao3-FXtSmjf714T5B1-dn16uL_Orr-tNqeZVbpkqRE1fSsgLpmIAamKgdmEpKWdYMCyJlTUUJwvKSOvBC1d4YDJV0riaKcKAn6N0sexv6P6OPg-6aaH3bmq3vx6gFpEWopP8EueCSKDEpnj4BN_0YtmkHTQBTIZTgCfowQzb0MQZf69vQdCbsNWA9JaA3erJZTzbrKQF9SEDvUvObw4Sx6rx71DpbnoC3B8BEa9o6mK1t4l-OEZW0EvZxxu6a1u__4wf68_rH9EoK-ayQ8vS7BwUTfutSUMH1zy9r_f3br8v1pRRa0XvaxK-F</recordid><startdate>200005</startdate><enddate>200005</enddate><creator>Jogerst, Gerald J.</creator><creator>Dawson, Jeffrey D.</creator><creator>Hartz, Arthur J.</creator><creator>Ely, John W.</creator><creator>Schweitzer, L. A.</creator><general>Blackwell Publishing Ltd</general><general>Blackwell</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><scope>IQODW</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>7QP</scope><scope>7TK</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7QJ</scope><scope>7X8</scope></search><sort><creationdate>200005</creationdate><title>Community Characteristics Associated with Elder Abuse</title><author>Jogerst, Gerald J. ; Dawson, Jeffrey D. ; Hartz, Arthur J. ; Ely, John W. ; Schweitzer, L. A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4967-2d636b18d471f147fd1ab8886f407288f37617c563d1e79feaa01b8ddf292513</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2000</creationdate><topic>Adult abuse</topic><topic>Aged</topic><topic>Biological and medical sciences</topic><topic>Child Abuse - statistics & numerical data</topic><topic>Child, Preschool</topic><topic>Community Health Services - statistics & numerical data</topic><topic>Community living</topic><topic>Counties</topic><topic>Demographics</topic><topic>Demography</topic><topic>Elder abuse</topic><topic>Elder Abuse - statistics & numerical data</topic><topic>elder mistreatment</topic><topic>Elderly people</topic><topic>Health care</topic><topic>Humans</topic><topic>Incidence</topic><topic>Iowa - epidemiology</topic><topic>Logistic Models</topic><topic>Medical sciences</topic><topic>Miscellaneous</topic><topic>Older people</topic><topic>Poverty</topic><topic>Prevention and actions</topic><topic>Public health. Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>Risk Factors</topic><topic>Social aspects</topic><topic>Social services</topic><topic>Social Work</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jogerst, Gerald J.</creatorcontrib><creatorcontrib>Dawson, Jeffrey D.</creatorcontrib><creatorcontrib>Hartz, Arthur J.</creatorcontrib><creatorcontrib>Ely, John W.</creatorcontrib><creatorcontrib>Schweitzer, L. A.</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of the American Geriatrics Society (JAGS)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jogerst, Gerald J.</au><au>Dawson, Jeffrey D.</au><au>Hartz, Arthur J.</au><au>Ely, John W.</au><au>Schweitzer, L. A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Community Characteristics Associated with Elder Abuse</atitle><jtitle>Journal of the American Geriatrics Society (JAGS)</jtitle><addtitle>J Am Geriatr Soc</addtitle><date>2000-05</date><risdate>2000</risdate><volume>48</volume><issue>5</issue><spage>513</spage><epage>518</epage><pages>513-518</pages><issn>0002-8614</issn><eissn>1532-5415</eissn><coden>JAGSAF</coden><abstract>OBJECTIVES: To help define the relationship between elder abuse rates and counties' demographics, healthcare resources, and social service characteristics.
DESIGN: County‐level data from Iowa were analyzed to test the association between county characteristics and rates of elder abuse between 1984 and 1993 using univariate correlation analysis and stagewise linear regression.
SETTING: Ninety‐nine counties in Iowa.
PARTICIPANTS: Iowa residents aged 65 years and older.
MEASUREMENTS: County‐level population‐adjusted numbers of abused elderly, abused children, children in poverty, high school dropouts, physicians and other healthcare providers, hospital beds, social workers and caseworkers in the Department of Human Services (DHS).
RESULTS: Community characteristics that had a positive association with rates of reported or substantiated elder abuse at the P < .001 level were population density, children in poverty, and reported child abuse. Lower substantiated elder abuse rates were associated at P < .05 with higher community rates of high school dropouts, number of chiropractors, and number of nurse practitioners. After adjusting for number of DHS caseworkers and reported child abuse rates (a surrogate for workload) a district effect persists for substantiated elder abuse cases (P = .002).
CONCLUSION: County demographics are risk factors for reported and substantiated elder abuse. The strongest risk factor for reported elder abuse was reported child abuse. The difference in districts may reflect differences in resources and/or differing characteristics of caseworkers who substantiate elder abuse. The risk factors may reflect conditions that influence the amount of elder abuse or the detection of existing elder abuse. J Am Geriatr Soc 48: 513–518, 2000.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><pmid>10811544</pmid><doi>10.1111/j.1532-5415.2000.tb04997.x</doi><tpages>6</tpages></addata></record> |
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| ispartof | Journal of the American Geriatrics Society (JAGS), 2000-05, Vol.48 (5), p.513-518 |
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| source | MEDLINE; Access via Wiley Online Library; Applied Social Sciences Index & Abstracts (ASSIA) |
| subjects | Adult abuse Aged Biological and medical sciences Child Abuse - statistics & numerical data Child, Preschool Community Health Services - statistics & numerical data Community living Counties Demographics Demography Elder abuse Elder Abuse - statistics & numerical data elder mistreatment Elderly people Health care Humans Incidence Iowa - epidemiology Logistic Models Medical sciences Miscellaneous Older people Poverty Prevention and actions Public health. Hygiene Public health. Hygiene-occupational medicine Risk Factors Social aspects Social services Social Work |
| title | Community Characteristics Associated with Elder Abuse |
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