Oral health in relation to all-cause mortality: the IPC cohort study View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-12

AUTHORS

Margaux Adolph, Christelle Darnaud, Frédérique Thomas, Bruno Pannier, Nicolas Danchin, G David Batty, Philippe Bouchard

ABSTRACT

We evaluated the association between oral health and mortality. The study population comprised 76,188 subjects aged 16-89 years at recruitment. The mean follow-up time was 3.4 ± 2.4 years. Subjects with a personal medical history of cancer or cardiovascular disease and death by casualty were excluded from the analysis. A full-mouth clinical examination was performed in order to assess dental plaque, dental calculus and gingival inflammation. The number of teeth and functional masticatory units <5 were recorded. Causes of death were ascertained from death certificates. Mortality risk was evaluated using Cox regression model with propensity score calibrated for each oral exposure. All-cause mortality risk were raised with dental plaque, gingival inflammation, >10 missing teeth and functional masticatory units <5. All-cancer mortality was positively associated with dental plaque and gingival inflammation. Non-cardiovascular and non-cancer mortality were also positively associated with high dental plaque (HR = 3.30, [95% CI: 1.76-6.17]), high gingival inflammation (HR = 2.86, [95% CI: 1.71-4.79]), >10 missing teeth (HR = 2.31, [95% CI: 1.40-3.82]) and functional masticatory units <5 (HR = 2.40 [95% CI 1.55-3.73]). Moreover, when ≥3 oral diseases were cumulated in the model, the risk increased for all-cause mortality (HR = 3.39, [95% CI: 2.51-5.42]), all-cancer mortality (HR = 3.59, [95% CI: 1.23-10.05]) and non-cardiovascular and non-cancer mortality (HR = 4.71, [95% CI: 1.74-12.7]). The present study indicates a postive linear association between oral health and mortality. More... »

PAGES

44604

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/srep44604

DOI

http://dx.doi.org/10.1038/srep44604

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https://app.dimensions.ai/details/publication/pub.1084132488

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28294149


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N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/srep44604'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/srep44604'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/srep44604'


 

This table displays all metadata directly associated to this object as RDF triples.

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