Nutrient intake and ovarian cancer: an Italian case–control study View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2002-04

AUTHORS

Ettore Bidoli, Carlo La Vecchia, Maurizio Montella, Luigino Dal Maso, Ettore Conti, Eva Negri, Carlo Scarabelli, Antonino Carbone, Adriano Decarli, Silvia Franceschi

ABSTRACT

OBJECTIVE: The role of selected macronutrients, cholesterol, and fatty acids in the etiology of epithelial ovarian cancer was analyzed using data from a case-control study carried out in five Italian areas between January 1992 and December 1999. METHODS: Cases comprised 1,031 women with incident, histologically confirmed epithelial ovarian cancer, admitted to the major teaching and general hospitals of the study areas. Controls comprised 2,411 women admitted for acute, non-neoplastic conditions to the same network of hospitals. Information on dietary habits was elicited using a validated food-frequency questionnaire including 78 food groups and recipes. Odds ratios (OR) and their corresponding 95% confidence intervals (CI) were computed by subsequent quintiles of nutrient intake. RESULTS: Direct associations with ovarian cancer emerged for starch intake (OR = 1.4 in the highest vs the lowest quintile of intake; 95% CI 1.1-1.8), while inverse associations emerged for monounsaturated (OR=0.7; 95% CI 0.5-0.9), and polyunsaturated (OR = 0.7; 95% CI 0.5-0.9) fatty acids. Among fatty acids, oleic (OR = 0.7; 95% CI 0.5-0.9), linoleic (OR = 0.7; 95% CI 0.5-0.9), and linolenic (OR = 0.8; 95% CI 0.6-1.0) acids were inversely related to ovarian cancer. When, however, six macronutrients were included in the same model, only the adverse effect of high starch intake remained significant. Results were consistent in separate strata of menopausal status, parity, and energy intake. CONCLUSIONS: Starch was directly associated, and unsaturated fatty acids were inversely associated, with ovarian cancer risk. More... »

PAGES

255-261

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1023/a:1015047625060

DOI

http://dx.doi.org/10.1023/a:1015047625060

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1022804854

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/12020107


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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.10.1023/a:1015047625060'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1023/a:1015047625060'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1023/a:1015047625060'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1023/a:1015047625060'


 

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