Epidemiological surveillance based on self-reported health indicators : relevance and feasibility of the a system at local scale in environmental health
Identifieur interne : 000164 ( France/Analysis ); précédent : 000163; suivant : 000165Epidemiological surveillance based on self-reported health indicators : relevance and feasibility of the a system at local scale in environmental health
Auteurs : Côme Daniau [France]Source :
Descripteurs français
- mix :
- Wicri :
- topic : épidémiologie, Qualité de la vie.
English descriptors
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Abstract
This work presents an innovative epidemiological surveillance system in environmental health based on self-reported health indicators, closer to the complaints of the local population leaving around a source of environmental pollution: symptoms and loss of the quality of life. This approach is built up from a conceptual framework based on the psychometric theory and the transactional model of stress. A field application of this approach was carried out the population neighboring (n=1 495) the chemical industrial area of Salindres, Gard. This study verifies that self-reported health indicators measured with MOS SF-36 and SCL-90-R can be used to study populations exposed to multifactorial environmental risks. This study confirms that these indicators are relevant and sensitive when applied to environmental risk factors referring to the cognitive representations of risks, such as the sensorial perception of stimuli emitted by the industries. This work shows, besides, that the availability of national references for these indicators confers interpretability to these indicators, an essential quality criterion. This work discusses qualitatively the acceptability of measuring indicators of self-reported health in the population, proposes recommendations on communication for the setting of that kind of approach, and opens up avenues on management orientations.
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Hal:tel-01124371Le document en format XML
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last="Daniau">Côme Daniau</name><affiliation wicri:level="1"><hal:affiliation type="laboratory" xml:id="struct-266752" status="VALID"> <idno type="IdRef">181157772</idno> <idno type="RNSR">201119409D</idno> <orgName>Laboratoire Modélisation, épidémiologie et surveillance des risques sanitaires</orgName> <orgName type="acronym">MESuRS</orgName> <desc> <address> <addrLine>292 rue Saint-Martin F-75141 Paris Cédex 03</addrLine> <country key="FR"></country> </address> <ref type="url">http://mesurs.cnam.fr/</ref> </desc> <listRelation> <relation name="EA4628" active="#struct-300351" type="direct"></relation> </listRelation> <tutelles><tutelle name="EA4628" active="#struct-300351" type="direct"><org type="institution" xml:id="struct-300351" status="VALID"> <idno type="IdRef">027404978</idno> <idno type="ISNI">0000000121690459</idno> <orgName>Conservatoire National des Arts et Métiers [CNAM]</orgName> <orgName type="acronym">CNAM</orgName> <desc> <address> <country key="FR"></country> </address> <ref type="url">http://www.cnam.fr/</ref> </desc> </org></tutelle></tutelles></hal:affiliation><country>France</country></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>Environmental health</term><term>Epidemiology</term><term>Health indicator</term><term>Health security</term><term>Perceived health</term><term>Perceived pollution</term><term>Polluted sites</term><term>Population-based survey</term><term>Public health surveillance</term><term>Quality of life</term><term>Self-reported health</term></keywords><keywords scheme="mix" xml:lang="fr"><term>Enquête en population générale</term><term>Epidémiologie</term><term>Indicateur de santé</term><term>Pollution perçue</term><term>Qualité de vie</term><term>Santé déclarée</term><term>Santé environnementale</term><term>Santé perçue</term><term>Sites pollués</term><term>Surveillance épidémiologique</term><term>Sécurité sanitaire</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>épidémiologie</term><term>Qualité de la vie</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"> <p>This work presents an innovative epidemiological surveillance system in environmental health based on self-reported health indicators, closer to the complaints of the local population leaving around a source of environmental pollution: symptoms and loss of the quality of life. This approach is built up from a conceptual framework based on the psychometric theory and the transactional model of stress. A field application of this approach was carried out the population neighboring (n=1 495) the chemical industrial area of Salindres, Gard. This study verifies that self-reported health indicators measured with MOS SF-36 and SCL-90-R can be used to study populations exposed to multifactorial environmental risks. This study confirms that these indicators are relevant and sensitive when applied to environmental risk factors referring to the cognitive representations of risks, such as the sensorial perception of stimuli emitted by the industries. This work shows, besides, that the availability of national references for these indicators confers interpretability to these indicators, an essential quality criterion. This work discusses qualitatively the acceptability of measuring indicators of self-reported health in the population, proposes recommendations on communication for the setting of that kind of approach, and opens up avenues on management orientations.</p> </div></front></TEI><affiliations><list><country><li>France</li></country></list><tree><country name="France"><noRegion><name sortKey="Daniau, Come" sort="Daniau, Come" uniqKey="Daniau C" first="Côme" last="Daniau">Côme Daniau</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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