Use of exogenous hormones and the risk of breast cancer: results from self-reported survey data with validity assessment View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-02

AUTHORS

Sanna Heikkinen, Markku Koskenvuo, Nea Malila, Tytti Sarkeala, Eero Pukkala, Janne Pitkäniemi

ABSTRACT

PURPOSE: Main aim was to estimate the association between use of exogenous hormones and breast cancer (BC) risk in a large population-based survey, and to assess the representativeness and overall validity of the data. METHODS: The survey 'Women's Health and Use of Hormones' was conducted in Finland in 2009, including 7,000 BC cases and 20,000 matched population controls. Conditional logistic regression was used to estimate odds ratios and their 95 % confidence interval. For validation, exposure prevalences were compared with population data from Statistics Finland and two large population-based surveys. RESULTS: We found positive associations with BC risk and exclusive use of hormone-releasing intrauterine device (HR IUD) in postmenopausal women (1.48, 95 % CI 1.10-1.99), when compared to never-users of any hormonal contraceptive and considering only prediagnostic use in cases. Regarding use of other hormonal contraceptives (HC), a positive association between long HC use (≥2 years) and BC was observed in both groups, OR being 1.37 (95 % CI 1.12-1.68) for premenopausal and 1.11 (95 % CI 1.03-1.20) for postmenopausal women, when compared to never-users of other HC. CONCLUSIONS: Observed association between HR IUD use and risk of BC in postmenopausal women is worrying and deserves further attention. Selection bias seemed not to explain this result. Considering the increasing popularity of HR IUD use in, e.g., USA, impact of possible adverse effects in public health could be significant. More... »

PAGES

249-258

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10552-015-0702-5

DOI

http://dx.doi.org/10.1007/s10552-015-0702-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1019908750

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26667320


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10552-015-0702-5'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10552-015-0702-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10552-015-0702-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10552-015-0702-5'


 

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306 schema:name Department of Public Health, Hjelt Institute, University of Helsinki, Mannerheimintie 172, PO Box 41, 00014, Helsinki, Finland
307 Finnish Cancer Registry, Institute for Statistical and Epidemiological Cancer Research, Unioninkatu 22, 00130, Helsinki, Finland
308 rdf:type schema:Organization
 




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