The consumption of lean and fatty fish, different dietary patterns, and the risk of cancers of various sites
Year: 2008
Type: dissertation
Abstract: The present work includes women from three cohorts: the Norwegian Women and Cancer (NOWAC) study, the European Prospective Investigation into Cancer and Nutrition (EPIC) study, and a sub-cohort from the NOWAC study termed the Norwegian EPIC cohort (NEPIC).\n Despite large differences in nutritional values in lean and fatty fish most studies on fish consumption and cancer do not diverse between these two types of fish. In the present work consumption of lean and fatty fish has been examined in association with breast cancer in the EPIC study, and in association with colon cancer in the NOWAC study.\n Looking at dietary patterns is a relatively new approach in nutrition epidemiology, and may give a better understanding of the relationship between diet and health. In this work, dietary patterns were identified from the NEPIC cohort, using a combination of factor and cluster analyses. The patterns were further investigated in order to reveal any relationship with cancer of various sites. Total cancer, breast cancer, and gastrointestinal cancers were examined.\n There were no clear association with fish consumption and breast cancer in the EPIC study. Likewise, there were no association between fish consumption and colon cancer risk in the NOWAC study. However, when dividing lean fish into fried and poached fish, we found a statistical significant increased risk of colon cancer with high intake of poached fish.\n Six different dietary patterns were identified in the NEPIC cohort. Overall, none of the dietary patterns identified was associated with cancer risk. There was, however, a somewhat higher risk of total cancer and breast cancer for women with a westernised pattern, and for total cancer for women with an alcohol pattern for some of the stratified analysis.
Author: Dagrun Engeset
Language: English
Topic: Nutritional Studies and Diet
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W576053474