Dietary patterns in relation to incidence rate of pancreatic cancer – the Norwegian women and cancer cohort study.
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https://hdl.handle.net/10037/31412Dato
2023-09-29Type
Journal articleTidsskriftartikkel
Peer reviewed
Sammendrag
Despite development in cancer treatment and prevention options during the past few years, cancer of the
pancreas remains a diagnosis associated with poor prognosis and limited options for prevention. Diet has
proven to be an important risk factor for development of many types of cancer, particularly for cancers of
the digestive system. Still, evidence regarding its relation to pancreatic cancer remains ambiguous. To investigate the relationship between diet and pancreatic cancer, an analysis of dietary patterns in participants from
the Norwegian Women and Cancer Study (n = 89,156; 305 pancreatic cancer cases) was performed. Cox regression analysis was used for studying possible associations between dietary patterns, derived from principal component analysis, and pancreatic cancer incidence. The four most prominent dietary patterns were identified
and described: European pattern, animal food consumers’ dietary pattern, traditional Norwegian pattern, and
alcohol-abstaining dietary pattern. In analysis without adjustment for confounders, being in the highest tertile
of the abstaining dietary pattern was associated with lower risk of pancreatic cancer in comparison to the
lowest tertile (hazard ratios [HR]: 0.66, 95% confidence interval [CI]: 0.49–0.89). After additional adjustment
for height and smoking status, no dietary pattern was associated with increased pancreatic cancer risk, nor was
there any difference in effect estimates between strata of smokers and non-smokers. The results of our current
analysis do not support the role of major dietary patterns in the development of pancreatic cancer.
Forlag
Swedish Nutrition FoundationSitering
Selinger, Rylander C, Skeie G. Dietary patterns in relation to incidence rate of pancreatic cancer – the Norwegian women and cancer cohort study. . Food & Nutrition Research (FNR). 2023;67Metadata
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