[Prevalence of thirty long term disorders for French health insurance members in 1994].
Identifieur interne : 001502 ( PubMed/Corpus ); précédent : 001501; suivant : 001503[Prevalence of thirty long term disorders for French health insurance members in 1994].
Auteurs : P. Fender ; M. Paita ; D. Ganay ; J M BenechSource :
- Revue d'epidemiologie et de sante publique [ 0398-7620 ] ; 1997.
English descriptors
- KwdEn :
- MESH :
- geographic , epidemiology : France.
- epidemiology : Chronic Disease.
- Adolescent, Adult, Age Distribution, Aged, Child, Child, Preschool, Female, Humans, Infant, Male, Middle Aged, Morbidity, National Health Programs, Population Surveillance, Prevalence, Sex Distribution, Surveys and Questionnaires.
Abstract
The French health insurance has carried out a survey to estimate the medical and social prevalence for the 30 long-lasting affections. This estimation was extended to the instantaneous morbidity prevalence for some of these diseases.
PubMed: 9496576
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pubmed:9496576Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">[Prevalence of thirty long term disorders for French health insurance members in 1994].</title>
<author><name sortKey="Fender, P" sort="Fender, P" uniqKey="Fender P" first="P" last="Fender">P. Fender</name>
<affiliation><nlm:affiliation>Caisse Nationale de l'Assurance Maladie des Travailleurs Salariés (CNAMTS), Paris.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Paita, M" sort="Paita, M" uniqKey="Paita M" first="M" last="Paita">M. Paita</name>
</author>
<author><name sortKey="Ganay, D" sort="Ganay, D" uniqKey="Ganay D" first="D" last="Ganay">D. Ganay</name>
</author>
<author><name sortKey="Benech, J M" sort="Benech, J M" uniqKey="Benech J" first="J M" last="Benech">J M Benech</name>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">[Prevalence of thirty long term disorders for French health insurance members in 1994].</title>
<author><name sortKey="Fender, P" sort="Fender, P" uniqKey="Fender P" first="P" last="Fender">P. Fender</name>
<affiliation><nlm:affiliation>Caisse Nationale de l'Assurance Maladie des Travailleurs Salariés (CNAMTS), Paris.</nlm:affiliation>
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<author><name sortKey="Paita, M" sort="Paita, M" uniqKey="Paita M" first="M" last="Paita">M. Paita</name>
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<author><name sortKey="Ganay, D" sort="Ganay, D" uniqKey="Ganay D" first="D" last="Ganay">D. Ganay</name>
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<author><name sortKey="Benech, J M" sort="Benech, J M" uniqKey="Benech J" first="J M" last="Benech">J M Benech</name>
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<series><title level="j">Revue d'epidemiologie et de sante publique</title>
<idno type="ISSN">0398-7620</idno>
<imprint><date when="1997" type="published">1997</date>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent</term>
<term>Adult</term>
<term>Age Distribution</term>
<term>Aged</term>
<term>Child</term>
<term>Child, Preschool</term>
<term>Chronic Disease (epidemiology)</term>
<term>Female</term>
<term>France (epidemiology)</term>
<term>Humans</term>
<term>Infant</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Morbidity</term>
<term>National Health Programs</term>
<term>Population Surveillance</term>
<term>Prevalence</term>
<term>Sex Distribution</term>
<term>Surveys and Questionnaires</term>
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<keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>France</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Chronic Disease</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Adolescent</term>
<term>Adult</term>
<term>Age Distribution</term>
<term>Aged</term>
<term>Child</term>
<term>Child, Preschool</term>
<term>Female</term>
<term>Humans</term>
<term>Infant</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Morbidity</term>
<term>National Health Programs</term>
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<term>Prevalence</term>
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<front><div type="abstract" xml:lang="en">The French health insurance has carried out a survey to estimate the medical and social prevalence for the 30 long-lasting affections. This estimation was extended to the instantaneous morbidity prevalence for some of these diseases.</div>
</front>
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<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">9496576</PMID>
<DateCreated><Year>1998</Year>
<Month>04</Month>
<Day>16</Day>
</DateCreated>
<DateCompleted><Year>1998</Year>
<Month>04</Month>
<Day>16</Day>
</DateCompleted>
<DateRevised><Year>2015</Year>
<Month>11</Month>
<Day>19</Day>
</DateRevised>
<Article PubModel="Print"><Journal><ISSN IssnType="Print">0398-7620</ISSN>
<JournalIssue CitedMedium="Print"><Volume>45</Volume>
<Issue>6</Issue>
<PubDate><Year>1997</Year>
<Month>Dec</Month>
</PubDate>
</JournalIssue>
<Title>Revue d'epidemiologie et de sante publique</Title>
<ISOAbbreviation>Rev Epidemiol Sante Publique</ISOAbbreviation>
</Journal>
<ArticleTitle>[Prevalence of thirty long term disorders for French health insurance members in 1994].</ArticleTitle>
<Pagination><MedlinePgn>454-64</MedlinePgn>
</Pagination>
<Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">The French health insurance has carried out a survey to estimate the medical and social prevalence for the 30 long-lasting affections. This estimation was extended to the instantaneous morbidity prevalence for some of these diseases.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">The random sampling represented 2% of the 3,337,795 patients who were affected by long-lasting affections (ALD 30). To codify the diagnoses, the "médecin conseil" proceeded by different ways: either by examining the patient, by consulting the practicing physician (69% of the patients), or by consulting the individual medical file. Morbidity prevalence estimates were limited to some diseases: those for which correcting coefficients were available or those for which the legislation on long-lasting affections were applied in patients not likely to come under "invalidity".</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">In November 1994, among the patients who came under "ALD 30", 39% were affected with cardio-vascular diseases, about 15% were affected with psychiatric diseases, and a similar proportion presented cancer or diabetes. The estimation of the insulin-dependent diabetes morbidity prevalence was 4.1/1000, non insulin-dependent diabetes 18/1000, progressive rheumatoid polyarthritis 2.8/1000, Parkinson disease 2.0/1000, and multiple sclerosis 0.4/1000. This survey also estimated the prevalence of seven other affections.</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">This survey provides morbidity prevalence rates estimated on the basis of a representative sample of a sub-population including 70% of the French population. Most results are close to those which have been already published, but some of them appear quite new.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Fender</LastName>
<ForeName>P</ForeName>
<Initials>P</Initials>
<AffiliationInfo><Affiliation>Caisse Nationale de l'Assurance Maladie des Travailleurs Salariés (CNAMTS), Paris.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Paita</LastName>
<ForeName>M</ForeName>
<Initials>M</Initials>
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<Author ValidYN="Y"><LastName>Ganay</LastName>
<ForeName>D</ForeName>
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<Author ValidYN="Y"><LastName>Benech</LastName>
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<VernacularTitle>Prévalence des trente affections de longue durée pour les affiliés au Régime général de l'Assurance Maladie en 1994.</VernacularTitle>
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<MedlineJournalInfo><Country>France</Country>
<MedlineTA>Rev Epidemiol Sante Publique</MedlineTA>
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<ISSNLinking>0398-7620</ISSNLinking>
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<MeshHeadingList><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName>
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<MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D017677" MajorTopicYN="N">Age Distribution</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName>
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<MeshHeading><DescriptorName UI="D002648" MajorTopicYN="N">Child</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D002675" MajorTopicYN="N">Child, Preschool</DescriptorName>
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<MeshHeading><DescriptorName UI="D002908" MajorTopicYN="N">Chronic Disease</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName>
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<MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005602" MajorTopicYN="N" Type="Geographic">France</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
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<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
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<MeshHeading><DescriptorName UI="D007223" MajorTopicYN="N">Infant</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D009017" MajorTopicYN="N">Morbidity</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D009313" MajorTopicYN="Y">National Health Programs</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011159" MajorTopicYN="N">Population Surveillance</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D015995" MajorTopicYN="N">Prevalence</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D017678" MajorTopicYN="N">Sex Distribution</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011795" MajorTopicYN="N">Surveys and Questionnaires</DescriptorName>
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