Long term trend analysis of geographical disparity in aging and disability: Taiwanese population approach.
Identifieur interne : 000216 ( PubMed/Corpus ); précédent : 000215; suivant : 000217Long term trend analysis of geographical disparity in aging and disability: Taiwanese population approach.
Auteurs : Yong-Chen Chen ; Yu-Ching Chou ; Lan-Ping Lin ; Chia-Ling Wu ; Jin-Ding LinSource :
- Research in developmental disabilities [ 1873-3379 ]
English descriptors
- KwdEn :
- Aged, Aging, Disabled Persons (statistics & numerical data), Geography, Health Services for the Aged (statistics & numerical data), Healthcare Disparities (statistics & numerical data), Humans, Intellectual Disability (epidemiology), Longitudinal Studies, National Health Programs (statistics & numerical data), Prevalence, Resource Allocation (statistics & numerical data), Taiwan (epidemiology).
- MESH :
- geographic , epidemiology : Taiwan.
- epidemiology : Intellectual Disability.
- statistics & numerical data : Disabled Persons, Health Services for the Aged, Healthcare Disparities, National Health Programs, Resource Allocation.
- Aged, Aging, Geography, Humans, Longitudinal Studies, Prevalence.
Abstract
Purposes of the present paper were to describe the overtime change of disability prevalence among the elderly (65 years and older), and to analyze the geographic disparity of the disability prevalence during the year 2000-2010 in Taiwan. Study data mainly come from two public web-access information: (1) The physically and mentally disabled population by age and grade, 2000-2010; (2) Taiwan general population by age, 2000-2010. We used statistical methods include number, percentage and geographical information system (GIS) to describe the disability prevalence among the elderly people by year and administrative area, and a trend test was conducted to examine the overtime change of disability prevalence in the elderly people. The results found that the mean of disability prevalence rate in the elderly population was 14.8% and it was significantly increased during the past 11 years (R(2) = 0.901; p < 0.0001). With regards to the elderly disability prevalence disparity in administrative areas, those areas of higher elderly disability prevalence were more likely to occur in east-mountain areas-Taitung County (24.2%), Yilan County (21.0%), Hualien County (20.3%), and central-agricultural counties such as Yunlin County (21.8%), Nantou County (17.6%) and Chiayi County (17.3%). The most relative change areas of disability prevalence rate in the elderly population during the past 11 years were more likely to occur in central or east areas in Taiwan. The present study highlights the authorities should pay much attention to increasing rate and the geographical disparity of disability prevalence in the elderly population, to allocate appropriate health and welfare resources for this vulnerable population.
DOI: 10.1016/j.ridd.2011.10.014
PubMed: 22119680
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pubmed:22119680Le document en format XML
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Study data mainly come from two public web-access information: (1) The physically and mentally disabled population by age and grade, 2000-2010; (2) Taiwan general population by age, 2000-2010. We used statistical methods include number, percentage and geographical information system (GIS) to describe the disability prevalence among the elderly people by year and administrative area, and a trend test was conducted to examine the overtime change of disability prevalence in the elderly people. The results found that the mean of disability prevalence rate in the elderly population was 14.8% and it was significantly increased during the past 11 years (R(2) = 0.901; p < 0.0001). With regards to the elderly disability prevalence disparity in administrative areas, those areas of higher elderly disability prevalence were more likely to occur in east-mountain areas-Taitung County (24.2%), Yilan County (21.0%), Hualien County (20.3%), and central-agricultural counties such as Yunlin County (21.8%), Nantou County (17.6%) and Chiayi County (17.3%). The most relative change areas of disability prevalence rate in the elderly population during the past 11 years were more likely to occur in central or east areas in Taiwan. The present study highlights the authorities should pay much attention to increasing rate and the geographical disparity of disability prevalence in the elderly population, to allocate appropriate health and welfare resources for this vulnerable population.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">22119680</PMID><DateCreated><Year>2012</Year><Month>01</Month><Day>03</Day></DateCreated><DateCompleted><Year>2012</Year><Month>05</Month><Day>08</Day></DateCompleted><DateRevised><Year>2012</Year><Month>01</Month><Day>03</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1873-3379</ISSN><JournalIssue CitedMedium="Internet"><Volume>33</Volume><Issue>2</Issue><PubDate><MedlineDate>2012 Mar-Apr</MedlineDate></PubDate></JournalIssue><Title>Research in developmental disabilities</Title><ISOAbbreviation>Res Dev Disabil</ISOAbbreviation></Journal><ArticleTitle>Long term trend analysis of geographical disparity in aging and disability: Taiwanese population approach.</ArticleTitle><Pagination><MedlinePgn>350-6</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.ridd.2011.10.014</ELocationID><Abstract><AbstractText>Purposes of the present paper were to describe the overtime change of disability prevalence among the elderly (65 years and older), and to analyze the geographic disparity of the disability prevalence during the year 2000-2010 in Taiwan. Study data mainly come from two public web-access information: (1) The physically and mentally disabled population by age and grade, 2000-2010; (2) Taiwan general population by age, 2000-2010. We used statistical methods include number, percentage and geographical information system (GIS) to describe the disability prevalence among the elderly people by year and administrative area, and a trend test was conducted to examine the overtime change of disability prevalence in the elderly people. The results found that the mean of disability prevalence rate in the elderly population was 14.8% and it was significantly increased during the past 11 years (R(2) = 0.901; p < 0.0001). With regards to the elderly disability prevalence disparity in administrative areas, those areas of higher elderly disability prevalence were more likely to occur in east-mountain areas-Taitung County (24.2%), Yilan County (21.0%), Hualien County (20.3%), and central-agricultural counties such as Yunlin County (21.8%), Nantou County (17.6%) and Chiayi County (17.3%). The most relative change areas of disability prevalence rate in the elderly population during the past 11 years were more likely to occur in central or east areas in Taiwan. The present study highlights the authorities should pay much attention to increasing rate and the geographical disparity of disability prevalence in the elderly population, to allocate appropriate health and welfare resources for this vulnerable population.</AbstractText><CopyrightInformation>Copyright © 2011 Elsevier Ltd. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Chen</LastName><ForeName>Yong-Chen</ForeName><Initials>YC</Initials><AffiliationInfo><Affiliation>Graduate Institute of Life Sciences, National Defense Medical Center, Taiwan.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Chou</LastName><ForeName>Yu-Ching</ForeName><Initials>YC</Initials></Author><Author ValidYN="Y"><LastName>Lin</LastName><ForeName>Lan-Ping</ForeName><Initials>LP</Initials></Author><Author ValidYN="Y"><LastName>Wu</LastName><ForeName>Chia-Ling</ForeName><Initials>CL</Initials></Author><Author ValidYN="Y"><LastName>Lin</LastName><ForeName>Jin-Ding</ForeName><Initials>JD</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2011</Year><Month>11</Month><Day>24</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Res Dev Disabil</MedlineTA><NlmUniqueID>8709782</NlmUniqueID><ISSNLinking>0891-4222</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000375" MajorTopicYN="Y">Aging</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006233" MajorTopicYN="N">Disabled Persons</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005843" MajorTopicYN="N">Geography</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006299" MajorTopicYN="N">Health Services for the Aged</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D054625" MajorTopicYN="N">Healthcare Disparities</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008607" MajorTopicYN="N">Intellectual Disability</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008137" MajorTopicYN="N">Longitudinal Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009313" MajorTopicYN="N">National Health Programs</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D015995" MajorTopicYN="N">Prevalence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D040841" MajorTopicYN="N">Resource Allocation</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D013624" MajorTopicYN="N" Type="Geographic">Taiwan</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2011</Year><Month>10</Month><Day>10</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2011</Year><Month>10</Month><Day>14</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2011</Year><Month>11</Month><Day>29</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2011</Year><Month>11</Month><Day>29</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2012</Year><Month>5</Month><Day>9</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">22119680</ArticleId><ArticleId IdType="pii">S0891-4222(11)00393-3</ArticleId><ArticleId IdType="doi">10.1016/j.ridd.2011.10.014</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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